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Thermal modification of colour in red alder wood 2005

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T H E R M A L MODIFICATION OF COLOUR IN RED A L D E R WOOD by D E R E K W. T H O M P S O N , F I T Bachelor of Science in Forestry, University of British Columbia, Vancouver, British Columbia (2002) A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE FACULTY OF GRADUATE STUDIES Forestry The University of British Columbia August 2005 © Derek W. Thompson, 2005 Abstract Red alder has become one of the most widely traded hardwood species in North America, and sliced red alder veneer is commonly applied as a decorative overlay on composite wood panels used by the furniture and cabinet industries. Red alder wood, however, acquires a mottled red-orange color following felling, which is undesirable when the wood is used for decorative purposes. The discolouration is caused by the enzymatic oxidation of oregonin, a diarylheptanoid xyloside that occurs naturally in red alder wood. Heating red alder wood remedies this problem to some extent, but there is still an unacceptable level of variability in the color of veneer sliced from heated veneer cants. Industry experience suggests that some of the variability in colour is caused by seasonal changes within red alder wood, the effect of log storage prior to heat treatments, and the type of wood used (inner/outer sapwood and position in the stem). This study attempted to clarify the causes of variability in colour of thermally modified red alder wood. First, the effect of various treatment temperatures (30, 50, 70 and 90°C) and treatment durations (8, 24, 36, 48 and 72 hours) on colour in red alder was examined. Secondly, the effects of season, storage and wood type on colour in thermally modified red alder wood were examined. In both experiments, heat was applied under isothermal conditions. Initial experimentation found that increasing treatment temperature resulted in wood that was darker and less red. Heating the wood at 70°C for at least 24 hours produced a uniform colour from pith to bark. Our findings suggest that the final colour of the wood depends on the strength of reactions that produce red-orange chromophoric groups in the wood, thermal darkening of the wood, and destruction of red-orange chomophoric groups. Subsequent experimentation revealed a highly significant interactive effect of season and storage on the colour of heat treated wood. Wood colour (following heat treatment) in samples harvested in spring and summer was dependent on the length of storage time prior to processing. When stored for up to two weeks, spring and summer samples became noticeably redder and darker, followed by an increase in lightness and decrease in redness when stored for 4 weeks. Fall and winter harvested samples were less affected by the length of storage and maintained colour within industry preferences. In both experiments, wood type (inner/outer sapwood) had a significant effect on the colour of heat treated wood and the inner sapwood was darker than the outer sapwood when heated at 70°C. The position of the sample along the stem also had a significant effect, but the colour change was small and indiscernible to the human eye. The findings from this study should provide the basis for further research required to develop differential heating and storage schedules in order to minimise seasonal variability in the colour of red alder. Also, alternative heating methods should be tested to reduce thermal gradients throughout the wood during heat treatments. 1* Table of Contents Abstract ii Table of Contents iii List of Tables • v List of Figures vi Acknowledgements vii 1.0 General Introduction 1 2.0 Literature Review 5 2.1 Introduction 5 2.2 Tree Information 5 2.3 Wood Characteristics 7 2.3.1 Anatomical Characteristics 7 2.3.2 Physical Properties 8 2.4 Resource Availability, Extraction and Utilization 9 2.4.1 Resource Availability 9 2.4.2 Annual Harvest 10 2.4.3 Milling Facilities 11 2.5 Red Alder Products 12 2.5.1 International Trade 12 2.5.2 Applications 13 2.5.3 Consumer Preference 14 2.6 Colour 15 2.6.1 Colour Measurement 15 2.6.2 Red Alder Discolouration 17 2.6.3 Discolouration of Red Alder Lumber 18 2.7 Basic Colour Change 20 2.7.1 Enzymes 20 2.7.2 Heat 20 2.7.3 Kiln Stain 22 2.8 Assessment of Colour 23 2.8.1 Felled Trees 23 2.8.2 Standing Trees 23 2.9 Effects of Season and Storage on Wood Colour 24 2.9.1 Season 24 2.9.2 Storage 25 2.10 Conclusions 25 3.0 Effects of temperature, heating time and wood type on the colour of red alder wood27 3.1 Introduction 27 3.2 Methods and Materials 28 3.21 Sample preparation 28 3.22 Thermal treatments and colour measurement 29 iii 3.23 Experimental design and statistical analysis 31 3.3 Results 31 3.4 Discussion 35 3.5 Conclusions 38 4.0 Effects of season, storage time and wood type on the colour of thermally modified red alder wood 39 4.1 Introduction.. 39 4.2 Methods and Materials 40 4.21 Sample Preparation 40 4.22 Thermal treatments and colour measurement 42 4.23 Experimental design and statistical analysis 43 4.3 Results 43 4.4 Discussion 47 4.5 Conclusions 52 5.0 General Discussion 53 6.0 Overall Conclusions 57 7.0 Bibliography : 59 Appendix 1 - Publication 64 Appendix 2 - Referee Comments 74 Appendix 3 - Statistical Analysis Data (Chapter 3) 78 Appendix 4 - Statistical Analysis Data (Chapter 4) 89 Appendix 5 - Description of ANOVA 104 iv List of Tables Table 1. Significant effects of, and interactions between, treatment temperature, heating time, and ring location on L* and a* colour parameters 32 Table 2. Moisture content of pith to bark samples heated at different temperatures 35 Table 3. Ambient air temperature - University of British Columbia (Biomet 2005) 41 Table 4. Significant effects of, and interactions between, season, storage time, bole position and wood type on L* and a* colour parameters 44 v List of Figures Figure 1. Red alder distirbution map 6 Figure 2. Red alder growing stock (mill, m ) 9 Figure 3. Applications for red alder lumber and veneer 14 Figure 4. Red alder used to manufacture guitars 14 Figure 5. CIELAB: 3-dimensional colour model (Adobe 2003) 16 Figure 6. Sampling of red alder trees and preparation of wood samples 29 Figure 7. Effects of temperature and ring location on a* (redness) of heated red alder wood 33 Figure 8. Effects of temperature and ring location of L* (lightness) of heated red alder wood 33 Figure 9. Effects of heating time on L* (lightness) of red alder wood 34 Figure 10. Effects of temperature and heating time on a* (redness) red alder 35 Figure 11. Sampling of red alder trees and preparation of samples 42 Figure 12. Effects of season and storage time on the L* (lightness) of heated red alder wood 44 Figure 13. Effects of season and storage time on the a* (redness) of heated red alder wood 45 Figure 14. Effects of storage time and bole position on the L* (lightness) of heated red alder wood 46 Figure 15. Effect of bole position on the a* (redness) of heated red alder wood 46 Figure 16. Effect of wood type on the L* (lightness) of heated red alder wood 47 Figure 17. Effect of wood type on the a* (redness) of heated red alder wood 47 vi Acknowledgements My experience as a graduate student in the Faculty of Forestry was amazing and would have been impossible without the support I received. I would like to thanks the following individuals and organizations: • Dr. Rob Kozak and Dr. Phil Evans, thank you for your guidance throughout my graduate studies. Your direction allowed me to fully reach my potential and complete a thesis that is important to the forest industry in British Columbia. • Dr. Thomas Maness for his work on my committee • Dr. Gary Bull for acting as external examiner • Dr. John Ruddick for acting as chair. • All of the faculty and staff in the Department of Wood Science and Centre for Advanced Wood Processing • The graduate students and post-doctoral fellows in the Evans research group • NSERC for providing funding throughout the project • The Malcolm Knapp Research Forest in Haney, B.C. for generously supplying red alder logs • My family whose unwavering support was instrumental throughout my time at UBC. Vll 1.0 General Introduction In recent years, red alder (Alnus rubra Bong.) has become one of the most sought after hardwood species in the Pacific Northwest and British Columbia (AHEC 2003). Its favourable manufacturing characteristics, appearance and range of uses have created demand for red alder logs, lumber and secondary products throughout North America and the world (AHEC 2003). In 2002, red alder lumber was the most abundantly exported hardwood lumber into China, exceeding red oak, yellow poplar maple and white oak (AHEC 2003). Uses for red alder have diversified from low grade lumber used in pallets, to high quality lumber and veneer used in specialty, high value applications (Raettig et al. 1995). In fact, recent customer preference studies have actually placed red alder ahead of oak based on appearance (Nichols et al. 2002; Fell 2002). A distinct characteristic of red alder is a red-orange staining occurring on the surface of freshly cut wood (Hibbs et al. 1994). Simpson (1991) suggests that the staining is the result of an oxidative reaction between the extractives found in alder and the atmosphere. More detailed studies have found that the stain results from the enzymatic polymerisation of oregonin, a diarylheptanoid xyloside found in alder (Karchesy and Laver 1974). Specifically, the formation of red-orange chromophores in alder from oregonin is thought to be catalyzed by peroxidase enzymes. Studies by Gonzalez-Hernandez et al. (1999) and Terazawa et al. (1984) found that this type of diarylheptanoid is most concentrated in spring and summer, decreasing into the fall and winter. Allen (1993) adds that the stain in freshly cut alder will spread over time. This study found that stain in logs cut in the spring and summer will spread into logs over a period of 4 months while stain in fall and winter cut logs 1 will spread over a period of 6 months and to a lesser extent than in logs felled in spring and summer. The highly variable nature of colour in red alder presents a problem for wood products manufacturers who are seeking to produce products with a consistent appearance. To overcome this problem in lumber manufacturing, sawn alder lumber is steamed at temperatures of 66 to 100°C for varying periods of time (Kozlik 1962, 1967, 1987; Kozlik and Boone 1987). Steaming produces a uniform tan colour on the surface of red alder lumber, but no studies have examined the thermal modification of colour in red alder cants used in the production of sliced veneer. Industry reports suggest that it is much more difficult to achieve uniformity and favourable colour in veneer sliced sequentially from steamed cants (Kaufmann 2003). Common industrial hearsay suggests that several factors contribute to the difficulty of achieving desirable results during alder veneer production. These factors include the temperature and/or duration of a heat/steam treatment prior to slicing, the season of harvest, the length of log storage prior to processing, and the location in the log (inner/outer sapwood and vertical position in stem) (Kaufmann 2003). However, it seems reasonable to assume that difficulties in alder veneer production also arise from radial variation in wood colour due to thermal gradients within the cant during steaming, as well as within tree variation in the susceptibility of red alder to thermal discolouration. Variability in the colour of sliced veneer is highly undesirable because veneer sheets pressed onto wood panels need to be colour matched to 2 meet the demands of customers requiring materials for red alder furniture and cabinets with uniform colour (Raettig et al. 1995). This study aimed to clarify the causes of variability in the colour of thermally modified red alder wood. Following this introduction, Chapter 2 reviews relevant literature on red alder wood and focuses on its use for the manufacture of wood products, colour of the wood and thermal modification of colour. Initial experimentation (Chapter 3) examined the variation in colour of red alder wood samples cut sequentially from the pith to the bark and subjected to heating under isothermal conditions using four temperatures (30, 50, 70 and 90°C) and five heating times (8, 24, 36, 48 and 72 hours). The aim was to examine whether within-tree variation in the susceptibility of red alder wood to thermal darkening could explain variation in colour of veneer sliced from steamed red alder cants, and secondly to determine the optimal thermal treatment (temperature and time) that can impart the favoured tan colour to red alder wood. Previous studies have found that the chemical constituents in red alder wood that are responsible for its characteristic red-orange stain to vary seasonally. Industry reports indicate that the colour of thermally modified red alder wood also varies seasonally. Therefore, it seems reasonable to hypothesize that the two are linked. Chapter 4 examined the effect of season, storage time and wood type (inner and outer sapwood and location along the stem) on the colour of red alder wood following a 48 hour heat treatment at 70 °C under isothermal conditions. A better understanding of the extent and causes of variability in thermally modified red alder wood will help manufacturers of red alder veneer modify their processing 3 techniques to produce more uniformly coloured veneer. Chapters 5 and 6 offer discussion and conclusions, respectively, which provide recommendations which will allow manufacturers to produce red alder veneer of a uniform and favourable colour. 2.0 Literature Review 2 . 1 Introduction Red alder is the most abundant Pacific coastal hardwood species in Canada and the United States. The species is also known as Oregon alder, western alder and pacific coast alder. Red alder is a relatively short lived species capable of tolerating wet soil and fixing atmospheric nitrogen. Its rapid juvenile growth and acceptance of disturbed sites make red alder a common pioneer species (Hibbs et al. 1994). Historically, red alder was known as a weed species requiring removal by herbicide or fire to create space for more commercially valuable species (Hibbs et al. 1994). Over the past three decades, however, red alder has become the most valuable commercial hardwood species in the Pacific Northwest with many commercial applications, including furniture, cabinets, pallets, paper, and veneer (Raettig et al. 1995). 2 . 2 Tree Information Red alder (genus Alnus) is a member of the family Betulaceae. Other North American genera included in this family are the birches {Betula) and hazelnuts (Corylus). The most noticeable similarity between these genera is the presence of male catkins (aggregates of staminate flowers) (Brayshaw 1976). Red alder has a normal life-span of 60 to 70 years with a maximum age of 100 years (Worthington et al. 1962). On desirable sites, red alder trees can be 30 to 40m tall and 55 to 5 75cm in diameter at breast height (dbh). Typically, these larger dimensions occur in trees older than 50 years (Worthington et al. 1960). The native range of red alder extends from southern California (lat. 34° N) to south-eastern • Alaska (60° N). It is generally found within 200km of the ocean at elevations of less than 750m. In Alaska, red alder is generally found at sea level, however, scattered pockets of trees are found at nearly 1100m in the southern regions (Hibbs et al. 1994). Red alder is seldom found east of the coastal mountain ranges, although some isolated populations have been found in northern Idaho (Johnson 1968) (Figure 1). Figure 1. Red alder distirbution map (Source: Little 1971) Climates found in the native range of red alder vary from humid to superhumid with annual precipitation ranging from 400 to 5600 mm per year. Most of this precipitation occurs as rain in the winter months. Temperature ranges from -30°C in Alaska and Idaho to 46°C in California (Hibbs et al. 1994). 6 Red alder exists on soils ranging from well-drained sands to poorly drained organics. In British Columbia, it occurs on Brunisol, Gleysol, Organic, Podzol and Regosol soil types. In Washington and Oregon, red alder typically grows on Inceptisol and Entisol soil types (Hibbs et al. 1994). The most productive alder stands are found on the alluvial soils of river or stream flood plains, however, good stands are also found on upland sites on residual or colluvial soils (Hibbs et al. 1994). 2.3 Wood Characteristics 2.3.1 Anatomical Characteristics Schweingruber (1990) describes alder as a wood with indistinct heartwood, orange in colour when freshly cut. Its porosity tends to range from diffuse- to semi-ring-porous with fibres developing in radial rows. Parenchyma cells are diffuse, and aggregate rays are generally present. These rays are uniseriate and tend to be homogeneous and up to 25 cells high. Aggregate rays are very broad rays which appear lighter in colour on cross- sectional samples, as opposed to normal rays which rarely exceed one cell in width and are thus inconspicuous. Aggregate rays form dark longitudinal lines one to two inches long on tangential surfaces. Red alder also has a triangular pith with frequent pith flecks. The majority of red alder wood consists of early wood (Parker 1978), however, Leney et al. (1978) notes there is little change in wood structure from earlywood to latewood. This transition is marked by a denser band that makes the growth ring noticeable and produces a subdued grain figure on the tangential surface of a processed board. Leney et al. (1978) describes the pores or vessels of alder as small and evenly distributed among the fibres. This 7 even distribution gives the wood a uniform grain with a smooth texture. Gartner et al. (1997). found that the wood of red alder was quite uniform within individual trees with the exception of fibre length and vessel diameter which increased radially in the first several growth rings. 2.3.2 Physical Properties According to Leney et al. (1978), red alder's overall index of workability and colour uniformity ranks highly when compared to other North American hardwoods. Its finishing characteristics are similar to yellow birch (Betula alleghaniensis Britt.), black cherry (Prunus serotina Ehrh.), and sugar maple (Acer saccharum Marsh.). The machining properties of red alder are second to only yellow birch, black cherry, and black walnut (Juglans nigra L.), and only black walnut equals the sanding and polishing characteristics of red alder (Hibbs et al. 1994). Briggs et al. (1978) rank the gluing properties and specific gravity of red alder behind only cottonwood (Populus trichocarpa Torr. & Gray) and yellow poplar (Liriodendron tulipifera L.). Red alder is ranked first for its turning characteristics while its shaping properties are rated below average. According to testing done by the U.S. Forest Products Laboratory, red alder has superior gluing, machining, sanding and finishing characteristics (WHA 2004). Its resistance to splitting, joint strength, and dimensional stability is also among the highest. The U.S. Forest Products Laboratory rated the hardness, bending strength and compression strength of red alder as below average. Only poplar (Populus sp.) rated lower than red alder in these three categories. The species that were used for comparison included bigleaf maple (Acer macrophyllum Pursh), red oak (Quercus rubra L.), pacific madrone (Arbutus menziesii 8 Pursh), tanoak (Lithocarpus densiflorus (Hook. & Am.) Rehd.), white oak (Quercus alba L.), golden chestnut (Castanea dentata Marsh.), poplar, ash (Fraxinus sp.), sycamore (Platanus occidentalis L.), and black walnut. (WHA 2004). Red alder's specific gravity (0.41) and density (28.7) ranked ahead of every tested species, with the exception of poplar. Low specific gravity and density have several advantages; however, they are largely responsible for red alder's lower hardness, bending strength and compression strength ratings (WHA 2004). 2.4 Resource Availability, Extraction and Utilization 2.4.1 Resource Availability Washington and Oregon dominate red alder supply and have standing volumes of 120 and 88 million m3, respectively. The growing stock is substantially lower in British Columbia and California, however, rapid growth and recent planting efforts have created a significant red alder resource base in British Columbia with the growing stock approaching 9 million m3 (COFI 2000; Raettigê a/. 1995) (Figure2). 140.0 -, Washington = 60.0 - 40.0 - £ 80.0 A 100.0 A 120.0 A 20.0 A 0.0 B.C. California Alaska Idaho Figure 2. Red alder growing stock (mill, m3) (Sources: COFI2000 & Raettig et al. 1995) 9 According to the United States Department of Agriculture (USDA), the majority of Alaska's red alder stands are found in the Tongass National Forest in south-eastern Alaska (the pan- handle). The growing stock of red alder in this region is estimated to be nearly 1.2 million m3 (van Hees 2001). The growing stock of red alder is not included in Idaho's forest inventories, but it is estimated to be quite limited (Troyer 2004). Red alder is the dominant hardwood species in Washington and Oregon, representing 69% and 53% of the total hardwood supply, respectively. In British Columbia and California, alder's representation falls to 2% and 1%, respectively, however, the abundance of aspen throughout the interior of British Columbia creates a distorted view of the provincial hardwood supply. Red alder, while representing only 2% of the province's total hardwood supply, represents 40% of the province's coastal hardwood supply (COFI2000 ; Raettig et al. 1995). 2.4.2 Annual Harvest British Columbia In 2002, red alder represented nearly 15% (344,000 m3) of the total hardwood harvest and over 80% (341,000 m3) of the coastal hardwood harvest in British Columbia. Province-wide, red alder harvest levels are surpassed only by trembling aspen (Populus tremuloides Michx.), an abundant interior species commonly used for the manufacture of oriented strand board (OSB). Aspen is rarely found in coastal forests which makes red alder the province's dominant coastal hardwood. The harvest of red alder grew by nearly 100,000m3 between 1998 and 2002 (Harvest Billing System 2004). 10 Washington and Oregon Annual harvest data for Washington and Oregon hardwoods is available from 1985 onwards. Historically, Washington and Oregon have led western North America in the harvest of red alder. In 1993, both states were harvesting nearly 400,000m3 per year, with harvest levels in Washington growing to nearly 550,000m in 1995. However, decades of intensive harvesting and recent changes to riparian harvest regulations have limited the volume of available mature alder in both states. As red alder is a common riparian species and 51 % of red alder volume is located on Federal lands, much of the growing stock in Washington and Oregon is now protected. In addition, spraying practices used by timber companies throughout the 1980's to reduce alder in softwood stands has created a lack of mature alder of harvestable size (Larson and Nguyen 2003; Oregon Dept of Forestry 2004). 2.4.3 Milling Facilities British Columbia There are 14 milling facilities processing red alder in British Columbia, including 7 lumber/pallet mills, 6 veneer plants and 1 specialty shop (Madison's 2002). Each of the 6 veneer plants uses a method of heating red alder prior to slicing. Weyerhaeuser's Northwest Hardwoods is the leading producer of alder lumber and pallets with annual production exceeding 45 million board feet (MMBF) or 110,000m3, a substantial portion of the province's overall red alder harvest (343,891m3 in 2002) (Weyerhaeuser 2004). Washington and Oregon During the mid-1980's, 25 red alder mills operated in Washington and Oregon. Since then, mill consolidation and closures have allowed a small group of producers to dominate the red 11 alder market, thus dictating the price and availability of alder lumber and creating further reductions in the number of alder mills in the Pacific Northwest. In 2000, 10 companies accounted for over 95% of hardwood lumber production (Eastin & Braden 2000). Weyerhaeuser's Northwest Hardwoods is the leading alder lumber producer in the Pacific Northwest and has 8 milling facilities located in Washington, Oregon, and British Columbia (Weyerhaeuser 2004). Weyerhaeuser's dominance of the Pacific Northwest's red alder industry has led to several lawsuits filed by independent red alder producers. Following a $78 million judgment in favour of a small-scale competitor in April 2003, Weyerhaeuser settled with a group of independent producers for a sum of $34.5 million. Both suits accused Weyerhaeuser of using monopoly power to influence log prices in order to inhibit an independent producer's ability to compete (SAF 2004). According to an Oregon log buyer's database developed by Oregon State University researchers, more than thirty independent and consolidated mills process red alder logs. Many of these firms, however, are small and have limited market share (Hansen 2003). 2.5 Red Alder Products 2.5.1 International Trade Japanese hardwood consumption has declined nearly 65% since 1995, and China has become an increasingly important trading partner with North America (most predominantly, the United States). For example, exports of wood products to China have grown from less than 12 US$10 million in 1995 to nearly US$1.2 billion in 2002. In 2002, red alder lumber was the most abundantly exported hardwood lumber into China accounting for approximately US$20 million in exports. Other commonly exported hardwood lumber species included red oak, yellow poplar, maple and white oak (AHEC 2003). Red alder is found primarily in western coastal regions and, hence, alder producers have a distinct advantage over eastern hardwood producers due to their proximity to the expanding Chinese market. Between 2000 and 2002, exports of red alder to China have grown by nearly 8,500m3. Again, this expansion is timely and beneficial to producers, as exports to several other alder markets such as Japan, Taiwan and Korea have declined (Strategis 2004; AHEC 2003). 2.5.2 Applications In recent years, uses for red alder have diversified from low grade lumber used in pallets to high quality veneer and lumber used in specialty applications such as mouldings, vertical pilasters (columns), and guitar bodies. Historically, issues with drying, colour, and strength hindered the use of red alder in applications other than low grade pallet stock. While this was a thriving industry, research suggested that alder, if properly processed, would be much more valuable than low grade stock (Raettig et al. 1995). Red alder has since become a widely used high grade lumber and veneer species in the furniture industry. Its colour creates a "classic" look that is popular in dining rooms, living rooms and kitchens, most notably, in kitchen cabinet applications (Figure 3). Consumer preference studies have actually placed alder ahead of oak based on appearance (Nichols et al. 2002; Fell 2002). 13 Figure 3. Applications for red alder lumber and veneer Alder has also become a very popular wood for electric guitar bodies (Pekerti 2002). Fender, a leading guitar manufacturer, now manufactures most of its guitars from alder (Figure 4). Historically, guitar bodies for Fender's signature guitar series, Stratocaster, were made entirely of ash. Red alder has now completely displaced ash in this market. A combination of light weight, excellent strength, and ease of machining and finishing makes alder guitars appealing to a broad range of manufacturers and consumers. Alder veneer is also used for acoustic guitar tops and backs, as well as veneered headstock. Figure 4. Red alder used to manufacture guitars 2.5.3 Consumer Preference A study by Nichols et al. (2002) aimed to determine consumer preferences for hardwood cabinet doors (alder with three levels of staining, maple, red oak, cherry (Prunus sp.) and hickory (Carya sp.)). Each consumer respondent participated in one of three labelling scenarios: species name known, species name unknown, and species name known with logos. When consumers based their choice entirely on visual appearance (Scenario 2), red alder 14 compared favourably to other hardwoods. The popularity of red alder relative to other species, however, was reduced when consumers were exposed to the species name, "red alder." Only one exception to this finding was noted: middle-aged, high-income consumers viewed the name red alder as desirable. Therefore, consumers preference is generally negatively affected by the name "red alder" and this should be considered when marketing alder products. When exposed to three levels of staining (none, light and heavy), consumers preferred the heavier stain on red alder cabinets. A similar study by Fell (2002) attempted to evaluate consumer acceptance of less utilized Canadian wood species used in value-added applications. Consumer respondents were exposed to six "lesser used" hardwood species and two "industry standard" species which were included as 'benchmarks' in the study. The six species included white birch (Betula pendula Roth), red alder, broadleaf maple, trembling aspen, red oak and sugar maple (Acer saccharum Marsh). Alder's look was appealing to consumers, making it a favourite for dining room and living room applications where a "classic" look was desirable. Red alder was also chosen quite frequently for kitchen cabinet applications and ranked ahead of red oak for flooring. Overall, red alder was rated higher than industry-favoured species. Broadleaf maple was the top-rated species in the study, while trembling aspen was consistently chosen as the least attractive species. 2.6 Colour 2.6.1 Colour Measurement The importance of wood colour in decorative products has led to the development of colour measurement systems suitable for the wood products industry. The following are examples 15 of colour models that can be used to quantify colour. Colour models are used to classify . colours and to qualify them according to such attributes as hue, saturation, chroma, lightness, or brightness. Examples of colour models include: • The RGB (CMY) Colour Model • The Munsell Colour System • The HSB/HLS Colour Model • The CIE Colour Models CIELAB is one of two systems approved by CIE in 1976 that shows uniform colour spacing values (Adobe 2003). The CIELAB system places these values within a 3-dimensional model with the axes: L*, a* and b* where L* is Lightness (0 = black; 100 = white), a* is greenness/redness (-60 = green; 60 = red), and b* is blueness/yellowness (-60 = blue; 60 = yellow) (Minolta 1998) (Figure 5). • CIEXYZ • CIELUV • CIELAB (1976 CIE L*a*b* Space) w o Figure 5. CIE L A B : 3-dimensional colour model (Adobe 2003) 16 According to Phelps et al. (1994), a difference of approximately three colour units is required to be noticed by the human eye. However, this finding is purely observational and is put forward as common knowledge only. 2.6.2 Red Alder Discolouration Simpson (1991) described the red-orange discolouration that occurs in freshly cut red alder logs or boards as an oxidative reaction between the extractives found in alder and the atmosphere. This discolouration tends to be confined to the outer 1.5mm of the wood and can generally be eliminated by planing. Simpson (1991) also noted that at temperatures above 60°C, a brown discolouration becomes quite noticeable throughout the sapwood. According to White and Dietenberger (2001), darkening of wood during heat treatment is caused by the thermal degradation of hemicelluloses and lignin. Such degradation can begin at temperatures as low as 65°C, depending on the wood pH and moisture content, heating medium, exposure period and species (White and Dietenberger 2001). A study by Karchesy and Laver (1974) suggested that the red-orange staining in freshly cut red alder wood was caused by the formation of orange chromophores. Their results indicate that oregonin, a diarylheptanoid xyloside found in red alder, reacted with peroxidase enzymes to form the red-orange chromophores. In a more recent study by Gonzalez- Hernandez et al. (1999), oregonin was found to vary seasonally in red alder. Concentrations decreased from spring to fall, with levels in the fall being approximately 50% of those in the spring. 17 Allen (1993) studied the development of stain within alder logs harvested in each of the four seasons. The red-orange discolouration was strong in the spring and summer months, but less evident in the fall and winter. The stain spread over time up to 4 months in the spring and summer, while a less noticeable spread of staining was seen after 6 months in the fall and winter harvested logs (most likely due to the gradual increase in temperature over time). For all seasons, logs stored under cool, moist conditions developed less stain. The study did not mention the colour or strength of the stain over time, but rather the depth (cm) into the log from the cut ends. A study of phenolic compounds in the living tissues of Japanese alder species (Alnus hirsuta Turcz. and Alnus japonica Steud.) found that hirsutoside, a diarylheptanoid (identical to oregonin), was the precursor for the red-orange staining of wood in these species. Hirsutoside decreased in the cork cambium, inner bark, and xylem as winter neared (Terazawa et al. 1984). Similarly, Gonzalez-Hernandez et al. (1999) found that oregonin (responsible for the formation of red-orange chromophores in red alder) varied seasonally. Concentrations of oregonin decreased from spring to fall, with levels in the fall approximately 50% of the levels in the spring. 2.6.3 Discolouration of Red Alder Lumber Kozlik (1962) aimed to find an optimum drying schedule for red alder that would reduce discolouration of sawn and kiln dried lumber. Lengths of 2.44 metres (8-feet) and dimensions of 2.54 centimetres (1-inch) by 7.62 to 35.56 centimetres (3 to 14 inches) were used. It was deemed that a favourable schedule would achieve desired board quality, colour 18 uniformity, and moisture content while minimising drying time. The study found that pre- steaming at 88°C to 93°C for 11 to 12 hours prior to drying resulted in lumber with the best colour uniformity. A subsequent study by Kozlik (1967) focused only on the establishment of desirable colour in red alder without mentioning board quality and moisture content. Lengths of 8-feet and dimensions of 1-inch were also used. The study found that steaming at 100°C for at least 4 hours before air or kiln drying eliminated sticker stain and prevented mottling. This treatment produced a uniform colour ranging from white in the sapwood to ivory in the . heartwood. Several temperatures and steaming times were tested but none of the combinations were able to achieve both colour uniformity and an absence of sticker stain. Kozlik and Boone (1987) attempted to optimise drying schedules for red alder lumber, 6, 7 or 8 feet long and 1 inch thick. As in previous research (Kozlik 1962), board quality, colour uniformity, and moisture content were examined. Desirable colour was achieved by steaming the wood at 99°C for 6 hours. Kozlik (1987) found that, to improve colour uniformity, freshly sawn red alder should be pre-steamed for at least 12 hours at 66°C to 77°C. Air dried lumber at 18 to 30% moisture content required at least 24 hours of pre- steaming under the same conditions. Lumber at 16 to 18% moisture content required 30 hours. The observations mentioned above pertain to red alder lumber without mention of veneer discolouration. Information on discolouration in red alder veneer due to heating, storage, and season is apparently absent from the literature. 19 2.7 Basic Colour Change 2.7.1 Enzymes Karchesy and Laver (1974) suggested that the red-orange staining in freshly cut red alder wood was caused by the formation of orange chromophores. Their results indicate that oregonin, a diarylheptanoid xyloside found in red alder, reacted with peroxidase enzymes to form the red-orange chromophores. In a more recent study by Gonzalez-Hernandez et al. (1999), oregonin was found to vary seasonally in red alder. Concentrations decreased from spring to fall, with levels in the fall being approximately 50% of those in the spring. Hon and Shiraishi (1990) describe an enzymatic reaction occurring in several wood species upon exposure of green wood to oxygen. This reaction often results in a mottled discolouration of the exposed surface. Moisture, humidity, and temperature are thought to have a significant effect on the colour of the wood. The surrounding humidity must be approximately 100% for a successful reaction to occur and the rate of discolouration increases steadily above 20°C. Abe et al. (1994), however, found that the colour changes in freshly cut sugi (Cryptomeria japonica D. Don.) were caused by the reaction of certain extractives and atmospheric oxygen under weakly alkaline conditions. They concluded that enzymes were not responsible for the colour change. 2.7.2 Heat As wood is dried at high temperatures, it tends to change colour. The extent of this colour change depends on the wood species, drying temperatures and drying times. Kollmann (1951) and Millett (1952) found that temperatures above 50°C were required to produce a red colour change in maple (Acer sp.) and beech (Fagus sp.) when the wood was heated at a 20 relative humidity of 65%. Under similar conditions, sugar pine (Pinus lambertiana Dougl.), oak, and spruce (Picea sp.) required temperatures of 65°C, 80°C, and 90°C, respectively, to change to a similar brown colour. Discolouration of todomatsu {Abies sachalinensis Schmidt) also increased with an increase in temperature and drying time. A study by Sundqvist (2002) examined the response of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies L.) and birch (Betula sp.) to heat treatments. Temperatures of 65°C, 80°C, and 95°C were used to heat wood for 0, 1,3, and 6 days. The study showed that heating time was more important than temperature in effecting colour change in birch, while time and temperature were of similar importance for Scots pine and Norway spruce. Accelerated darkening for all species was noted when the heating temperature exceeded 80°C. Thomassen (1986) found that a brown-red discolouration formed in the core of European beech boards during convection drying at ~40°C. Discolouration occurred when the wood reached the fibre saturation point (25-35% moisture content). Similarly, Yeo and Smith (2004) found that internal darkening of hard maple developed at or above 43°C when the wood moisture content was at or above the fibre saturation point. Stenudd (2004) also found similar results in silver birch (Betula pendula Roth). Brauner and Conway (1964) described the effect of various steaming treatments on the colour of black walnut. They found colour change to be dependent on both temperature and heating time. As expected, the rate of colour change increased as the heating temperature 21 increased. This was most noticeable between 100 and 110°C. Significant increases were not noticed above 110°C. They also found rapid changes in colour in the first 4 to 6 hours with only slight changes thereafter. A subsequent study by Charrier et al. (2002) found that immersing walnut logs in water at temperatures of 80°C to 90°C for up to 51 hours promoted the darkening and reddening of veneer. The darkening reaction, however, was more prominent in heartwood than in sapwood. 2.7.3 Kiln Stain Kapp et al. (2003) reviewed the effects of kiln drying schedules and species on the degree of kiln brown and yellow stain. Maillard reactions, a common form of discolouration prevalent in the food industry, were thought to be responsible for kiln staining of wood. Maillard reactions are interactions between sugars and amino acids generating colours varying from light yellow, yellow, orange, brown to dark brown. Kapp et a/.'s study found varying reactions in individual pine species. However, a transition from yellow to brown stain was noticed above 80°C. Kiln brown stain in radiata pine (Pinus radiata D. Don) develops as a chocolate brown discolouration in the sapwood. According to McDonald et al. (2000), the intensity of this stain is dependent on kiln temperature and it is also thought to be caused by Maillard reactions. Previous work reviewed by McDonald et al. (2000) suggested that these reactions are dependent on chemical structure of extractives, wood pH, and drying temperature. 22 2.8 Assessment of Colour 2.8.1 Felled Trees Mononen et al. (2002) examined colour differences in silver birch wood using the CIE L*a*b* colour space system. After felling, stems were sawn to remove a 4m butt log. Sample boards were cut from the outer and inner sapwood of each log and a small piece of wood was cut from each board. The colour of cross-sectional surfaces was measured. Rappold and Smith (2004) also used the CIE L*a*b* colour space to determine colour differences in maple. Two hard maple trees (dbh 35.6 to 71.1 cm) were selected, felled and flat-sawn using a small commercial band saw mill. The boards were specifically selected to be free of knots, discoloured sapwood, and stains. All of the sample boards consisted of 100% sapwood. After processing and drying, each sample board was hand-planed and its colour measured at four locations on the board using a spectrophotometer. Measurements were taken from clear areas on both tangential surfaces for a total of eight readings for each board. 2.8.2 Standing Trees Variation in wood colour, both within and between shining gum (Eucalyptus nitens Maiden) samples, was studied by Raymond and Bradley (2002). To measure variation between trees, a 12 mm diameter core was removed using a motor-driven corer at 0.9 m above ground for each tree. Each core was air dried and reduced to woodmeal (1 mm mesh) in a Wiley Mill and colour assessed using a Minolta Chroma Meter. To measure variation within trees, 25 mm discs were cut at 10% height intervals along the tree. 23 All samples were frozen and colour was measured while in the frozen state. Colour measurements were taken at pre-determined locations on the disc. 2.9 Effects of Season and Storage on Wood Colour 2.9.1 Season As mentioned previously, Gonzalez-Hernandez et al. (1999) found that oregonin (responsible for the formation of red-orange chromophores in red alder) varied seasonally in red alder trees. Concentrations of oregonin decreased from spring to fall, with the levels in the fall being approximately 50% of the levels in the spring. Allen (1994) found that the red-orange discolouration in red alder logs was strong in the spring and summer, but less evident in the fall and winter. For all seasons, logs stored under cool, moist conditions developed less stain. The study did not mention the colour or strength of the stain over time, but rather the depth of staining into the log from the cut ends. A study of phenolic compounds in the living tissues of Japanese alder (Alnus hirsuta Turcz. and Alnus japonica Steud.) found that hirsutoside (which was identical in structure to oregonin) was the precursor for the red-orange staining forming on the surface of freshly cut wood. Hirsutoside decreased in the cork cambium, inner bark, and xylem as winter neared (Terazawa et al. 1984). Mononen et al. (2002) found that silver birch samples felled in autumn and winter displayed high lightness (L* > 83.23), low redness (a*<3.69), and average yellowness (b* = 19.63 - 26.90). Samples felled in spring and summer had lower lightness, higher redness, and higher yellow values. The outer sapwood was generally lighter, less red, and less yellow than the 24 inner sapwood. A similar study that examined the effects of season on the colour of maple lumber found that there was no visual or measured colour change across each harvest season (Rappold and Smith 2004). 2.9.2 Storage Allen (1993) found that the stain within cut red alder logs spread over time up to 4 months in the spring and summer, while a less noticeable spread in staining was seen after 6 months in the fall and winter logs (most likely due to the gradual increase in temperature over time). Samples of silver birch exposed outdoors for five weeks showed a significant decrease in lightness (L* - 67.51 - 72.21) and an increase in redness (a*>7.34) and yellowness (b*>27.93) for autumn and winter-felled samples (Mononen et al. 2002). Storage had an insignificant effect on the colour of samples felled in the spring. Samples felled in summer decreased in lightness and increased in redness and yellowness during storage. Following ten weeks of storage, autumn-felled samples became lighter with decreasing redness and yellowness. The opposite occurred in winter-felled samples, with lightness decreasing and redness and yellowness increasing. Spring and summer-felled samples showed a decrease in lightness, increase in redness and moderate decrease in yellowness. A similar study conducted on maple found that there was no visually perceptible colour difference between maple logs stored for 0, 4, and 8 weeks (Rappold and Smith 2004). 2 . 1 0 Conclusions Colour is an important feature of wood used in decorative applications such as furniture stock, and veneer. Without adequate control of colouration in processed wood, the 25 marketing, production, and sale of hardwood products in a competitive wood products industry is problematic. The literature outlines a variety of colour changes and responses of wood to various treatments, but fails to provide significant insights into the problem of colour control faced by producers of red alder products. The difficulty of achieving a uniform tan colour in red alder warrants new research that will answer some very important questions about the processing of this economically valuable species. To achieve favourable colouration, the effects of factors such as temperature, treatment duration, wood type, season, storage period and position in tree, on the colour of thermally modified red alder need to be quantified. It is anticipated that the results of this study, along with previous findings in the literature (described above), will lead to the development of better thermal treatments to control the colour of red alder wood. 26 3.0 Effects of temperature, heating time and wood type on the colour of red alder wood1 3.1 Introduction Red alder has become one of the most economically important hardwood species in North America (AHEC 2003). Sliced red alder veneer is commonly used as a decorative overlay on composite wood panels (particleboard and medium density fibreboard), which are then used in the manufacture of cabinets and furniture (Hibbs et al. 1994). Red alder wood, however, acquires a mottled red-orange colour after felling, which is undesirable when the wood is used for cabinets and furniture (Kozlik 1987; Kaufmann 2003; Simpson 1991). To overcome this problem, sawn alder lumber is steamed at temperatures of 66 to 100°C for varying periods of time (Kozlik 1962, 1967, 1987; Kozlik and Boone 1987). Steaming produces a uniform tan colour on the surface of red alder lumber, but no studies have examined the thermal modification of colour in red alder veneer cants. Industry reports, however, suggest that it is much more difficult to achieve colour uniformity in veneer sliced sequentially from steamed cants (Kaufmann 2003). Radial variation in wood colour in the cants, possibly caused by thermal gradients within veneer cants during steaming, could explain such variability. Alternatively, within tree variation in the susceptibility of red alder to thermal discolouration could be responsible for the variation in colour of sliced veneer. Variability in the colour of sliced veneer is highly undesirable because veneer sheets pressed onto composite wood panels need to be colour matched to meet the demands of consumers for red alder furniture and cabinets with uniform colour (Raettig et al. 1995). 1 This study has been accepted in W o o d and Fiber Science and appears in the July 2005 issue. 27 This study examined the variation in colour of red alder wood samples cut sequentially from the pith to the bark and subjected to heating under isothermal conditions using four temperatures (30, 50, 70 and 90°C) and five heating times (8, 24, 36, 48 and 72 hours). The aim was to examine whether within-tree variation in the susceptibility of red alder wood to thermal darkening can explain variation in colour of veneer sliced from steamed red alder cants, and secondly to determine the optimal thermal treatment (temperature and time) that can impart the favoured tan colour to red alder wood. 3.2 Methods and Materials 3.21 Sample preparation Four red alder trees growing in the Malcolm Knapp Research Forest in Maple Ridge, British Columbia, were selected based on similarities in their height (18 - 25 m), diameter (25 - 32 cm at breast height), age (26-31 years), and growing conditions (non-riparian). Trees growing in riparian zones (adjacent to streams) were avoided as harvest restrictions in British Columbia limit the removal of any species in or adjacent to such areas. A single tree was sampled each week over a period of 4 weeks in August 2003 (4 trees in total). Thus, each tree and sampling period acted as a separate replication. Trees were marked at breast-height (1.3 m above ground level), felled, and inspected for the presence of abnormalities such as rot or scarring. Four cross-sectional discs were cut from each tree: two immediately above and two immediately below breast-height (Figure 5). Each disc was 15 cm thick (longitudinally) and was free from internal rot or scarring. The four discs were randomly assigned a letter (A, B, C or D) and immediately transported to the laboratory for further processing. 28 Five quarter-sawn slats were cut from each of the four discs using a band-saw. Slats were 1 cm wide (tangentially) and cut from bark to pith (Figure 5). The moisture content of separate pith to bark samples, expressed as a percentage of their oven dry weight (obtained by oven drying samples overnight at 105 °C), was found to vary from 95 to 127%. The location of each slat was randomly selected on the outer circumference of the disc prior to sawing. A 1 x 1 cm pith-to-bark sample was then cut from the middle (7 cm from top and bottom) of each slat resulting in five 1 x 1 cm samples from within each disc. Each sample was sealed in an 8 x 23 cm sheet of aluminium foil to reduce the rate of drying of samples during heating, labelled with the appropriate disc letter (A - D ) , and randomly assigned a treatment number (1-5) (Figure 5). Figure 6. Sampling of red alder trees and preparation of wood samples 3.22 Thermal treatments and colour measurement Samples obtained from the same discs were allocated to the same treatment temperature. Thus, samples from discs A , B , C and D were subjected to thermal modification at temperatures of 30, 50, 70 and 90°C, respectively. The 5 samples from within each disc were randomly allocated to the different heating times, 8, 24, 36, 48 and 72 hours. 29 Samples were placed in 25 x 200 mm test-tubes which were submerged in pre-heated glycerol baths set at 30, 50, 70 or 90°C. Each test-tube was covered, but not completely sealed, to avoid pressure build-up. Samples were removed from the tubes after heating and allowed to cool at room temperature for 30 minutes. They were then unwrapped from the aluminium foil and cross-cut every fifth growth ring starting at the pith and finishing in the outer sapwood. Thus, five sub-samples were produced from each pith-to-bark sample, each containing five growth rings with the earlywood exposed longitudinally. Exposed earlywood faces were allowed to dry for 24 hours at room temperature and their colour was then measured using a spectrophotometer (Minolta CM-2600d). Earlywood was chosen for colour measurements as it forms the majority of the wood in red alder (Parker et al. 1978). A total of 400 colour measurements were made. Colour is expressed using the CIE L*a*b* space system, which consists of three parameters; L* is lightness (0 = black; 100 = white), a* is greenness/redness (-60 = green; 60 = red), and b* is blueness/yellowness (-60 = blue; 60 = yellow) (Minolta 1998). Yellowness and blueness were insignificant characteristics of colour change in thermally modified red alder, and hence b* measurements are not presented or discussed in this thesis. Separate pith to bark samples were weighed, wrapped in foil, and heated, as above, at 20 (room temperature), 30, 50, 70 and 90 °C. The samples were removed from the test tubes periodically (after 8, 24, 36, 48 and 72 hours) and reweighed. After 72 hours the samples were oven-dried at 105 °C for 7 hours and their moisture contents calculated. 30 In order to compare the colour of samples subjected to the different heat treatments with that of commercially produced veneer, the colour of several red alder veneer sheets with the desired tan colour was measured. The colour of these veneers provided reference maxima and minima for L* and a* values obtained from the measurement of the colour of red alder tree samples (above), and are displayed as dashed lines on graphs depicting results of this study in Figures 6-9. While these maxima and minima provide a general range of favourable colour measurements, they were not mathematically derived, nor do they represent a colour standard for the red alder veneer industry as a whole. 3.23 Experimental design and statistical analysis This experiment used factorial principles to determine the effects of three fixed factors (treatment temperature, heating time, and ring location) on two response variables (L* (lightness) and a* (redness)). Random effects arise due to between- and within-tree variation in wood properties, and elapsed time between replicate measures. Analysis of variance was used to examine fixed and random effects on the response variables. Statistical computation was performed using Genstat 5, using a p-value of 0.05 (5%) (Lawes Agricultural Trust 1994). Before the final analysis, diagnostic checks were performed to determine whether data conformed to the underlying assumptions of analysis of variance, i.e., normality with constant variance. Significant results (p<0.05) are presented graphically and least significant difference (LSD) bars are used to compare differences between means. 3.3 Results There were significant effects of temperature, heating time and ring location on L* (lightness) and a* (redness) (Table 1). There were also significant two-way interactions of 31 temperature and heating time on a* and temperature and ring location on L* and a* (Table 1). Table 1. Significant effects of, and interactions between, treatment temperature, heating time, and ring location on L* and a* colour parameters . Fixed Factors Response Variables Temperature (T) . Heating time (H) Ring Location (R) T x H T x R H x R T x H x R L* - lightness *** *** *** NS *** NS NS a* - redness *** *** *** *** *** NS NS *** = p<0.001; NS = not significant (p > 0.05) The overall effect of increasing temperature during the thermal modification of red alder wood was to make samples slightly less red (a* decreased) and darken them (L* decreased) (Figures 7 and 8, respectively). Differences in the lightness and redness of samples heated at 70 and 90°C were small and generally statistically insignificant. The effect of temperature on the colour of the wood, however, depended on the location of the sample within the tree, as indicated by the significant temperature x ring location interaction in Table 1. Wood samples cut adjacent to the bark developed a more pronounced red-orange colour when heated at 30°C than samples cut close to the pith. This observation is reflected by the relatively high a* values and lower L* values for the relevant samples (3 to 5) in Figures 7 and 8. In contrast, the effect of ring location on the colour of samples heated at 50, 70 and 90°C was smaller. Within-tree differences in the colour of thermally modified samples were least pronounced for those heated at 70°C, and the colour of these samples all fell within the preferred colour limits for red alder veneer. 32 15.0 14.0 13.0 H 12.0 11.0 10.0 9.0 8.0 7.0 -I 6.0 Isd = 1471 30°C 1 2 3 4 5 Ring location (pith to bark) Figure 7. Effects o f temperature and r i n g loca t ion on a* (redness) o f heated red alder w o o d 80.0 76.0 72.0 l i 68.0 64.0 60.0 56.0 Isd = 2.522 90°C 1 i 3 4 Ring Location (pith to bark) Figure 8. Effects o f temperature and r i n g loca t ion o f L * ( l ightness) o f heated red alder w o o d If results in Figures 7 and 8 are compared, it can be seen that there were marked differences in the pith to bark variation in redness and lightness of red alder wood following thermal modification at different temperatures. Differences in the redness of wood close to the pith (samples 1 and 2) were small irrespective of heating temperature, including samples heated at 30°C. As mentioned above, wood close to the bark was redder and darker when heated at 30°C, but differences in the redness of samples heated at 50, 70 and 90°C were small, irrespective of their location in the tree stem. In contrast, there were significant differences in the lightness of wood heated at higher temperatures (70 and 90°C) compared to those heated 33 at lower temperatures (30 and 50°C), particularly for wood close to the pith. Samples heated at 70°C were darker than those heated at 90°C, but the differences were not statistically significant. Figure 9 shows the effect of heating time on the L* value for thermally modified samples. Results in this figure are averaged across temperature and ring number as there were no significant interactions of heating time with temperature or ring location (Table 1). Wood samples became darker as the length of time that they were exposed to heat increased. Thus, the L* decreased from 73.90 for samples heated for 8 hours to 67.18 for samples heated for 72 hours. Heating times of 24 to 72 hours produced values for L* that fell within industry preferences. 76.0 i 64.0 - 60.0 - 56.0 - 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 Time (hours) Figure 9. Effects of heating time on L* (lightness) of red alder wood The effect of heating time on the redness of samples depended on temperature as indicated by the significant temperature x heating time interaction in Table 1. This occurred because there was a pronounced increase in the redness of samples heated at 30°C over the first 36 h, followed by a pronounced decrease over the following 36 hours, whereas there was little change over time in the redness of samples heated at higher temperatures (with the exception of samples heated at 50°C from 8 to 24 hours) (Figure 10). 34 15.0 -> 7.0 - 6.0 -I—, ,—,—, ,—,—, 1 1 1 , , , , , , 1 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 Time (hours) Figure 10. Effects of temperature and heating time on a* (redness) red alder The redness of samples heated at 70°C remained consistent irrespective of heating time and fell within industry preferences. Heating times of 24 to 72 hours seemed to produce the colour that industry prefers. Measurement of the moisture content of separate pith to bark samples heated at different temperatures showed a decrease in their moisture content over time. Decreases in moisture content were pronounced at the higher (70 and 90 °C) temperatures (Table 2). Table 2. - Moisture content of pith to bark samples heated at different temperatures Temperature Heating time (hours) °c 0 8 24 36 48 72 20 98.5 96.1 94.4 92.1 88.1 83.1 30 102.3 99.8 97.9 95.4 92.4 88.4 50 126.8 119.2 103.5 96.3 84.7 69.3 70 105.7 84.2 60.8 50.7 31.1 15.1 90 95.0 61.7 16.2 6.7 1.8 1.2 3.4 Discussion From first principles, it can be assumed that the colour of thermally modified red alder wood results from the production and/or destruction of chromophoric groups. It is well known that 3 5 red alder wood changes from a cream to a red-orange colour on exposure to air (Simpson 1991). This colour change occurs at ambient temperatures and is probably caused by the reaction between the diarylheptaniod xyloside, oregonin, and peroxidase enzymes (Karchesy and Laver 1974). The production of new chromophores as a result of these reactions may explain our finding that wood close to the bark, where concentrations of oregonin are likely to be high (Terazawa et al. 1984), was much redder than wood close to the pith when wood samples were heated at 30°C. It is also well established that hemicelluloses are degraded by heat, causing thermally modified wood to be darker than unmodified wood (White and Dietenberger 2001). Thermal degradation of wood may explain why red alder wood heated at higher temperatures (70 or 90°C) was darker than wood heated at 30 or 50°C, as well as the positive correlation between heating time and darkening of wood. Wood heated at 70°C, however, was darker than wood heated at 90°C, and wood close to the bark and heated at 30°C was as dark as wood heated at 50°C. The latter observation suggests that the red colour (a*), which was pronounced in the outer wood heated at 30°C, contributed to the darkness (decreased L*) of thermally modified red alder wood. Accordingly, samples heated at 90°C were lighter than those heated at 70°C, possibly because of their lower redness. This suggestion is supported by results showing that wood heated at 70°C was redder than wood heated at 90°C, and the association between decreased redness and reduced darkening in wood samples heated at 70 and 90°C (compare Figures 7 and 8). This negative correlation between redness of samples and heating temperature could result from inhibition of the reactions that produce the red-orange colour in red alder wood and/or the destruction of the complexes responsible for the colour. We consider the latter more likely since samples subjected to prolonged (72h) heating at 30°C were less red than samples heated for shorter 36 periods of time at the same temperature. This suggests that the red-orange complexes produced in red alder are thermolabile and, hence, are degraded by prolonged exposure to heat and higher temperatures. Clearly, the thermal modification of colour in red alder involves a complex suite of reactions. Our findings suggest that the final colour of the wood depends on the strength of reactions that produce red-orange chromophoric groups in the wood, thermal darkening of the wood, and destruction of red-orange chromophoric groups. Therefore, the key to controlling colour in veneer cants during steaming may lie in balancing these competing reactions through careful control of heating temperatures and times, and wood moisture content. Colour control is complicated by within-tree and, possibly, seasonal variation in the strength of the reactions that generate the red-orange chromophores in wood and thermal and moisture gradients within veneer cants during steaming. The effects of season, storage time and wood type on the colour of thermally modified red alder wood are examined in Chapter 4. A more complete understanding of the sources of variation in the colour of thermally modified red alder wood would assist efforts to obtain better colour uniformity in veneer sliced sequentially from heated veneer cants. Nevertheless, our findings on small samples indicate that heating red alder wood at 70°C for 24 to 36 hours can produce the preferred tan colour for this species. Higher temperatures in the outer layers of veneer cants may compensate for the tendency of outer wood to become redder by destroying red-orange chromophores and this may produce more uniformly coloured veneer. Large thermal gradients from the outer to the inner wood, however, are likely to produce the pronounced differences in the colour of veneer sheets that industry currently observes. A technology capable of more evenly heating veneer cants, possibly involving a combination of steaming and radio-frequency heating, 37 might reduce the extent of such gradients and colour variation in red alder veneer. Direct thermal modification of veneer might achieve a similar effect, although higher temperatures would be needed to accelerate colour changes. 3.5 Conclusions 1. There is variation in the colour of red alder wood samples cut sequentially from the pith to the bark and subjected to heating under isothermal conditions, but differences are only pronounced when wood is heated at 30°C. Wood close to the bark tends to be redder than wood close to the pith when heated at low temperatures, but such a difference is absent in wood heated at higher temperatures (50-90°C). 2. Heating small pith-to-bark red alder wood samples at 70°C for 36 hours produced wood that had an even tan colour from pith to bark and fell within the current industry colour preferences. 3. It is hypothesised that the colour of thermally modified red alder wood depends on the strength of reactions that produce red-orange chromophores in the wood, thermal darkening of the wood, and destruction of red-orange chromophores. The key to controlling colour in veneer cants during steaming lies in balancing these competing reactions through careful control of heating temperatures and times. 4. A better understanding of reactions that generate the red-orange chromophores in thermally modified red alder wood and the magnitude of thermal gradients within veneer cants during steaming would assist efforts to obtain better colour uniformity in veneer sliced sequentially from heated veneer cants. 38 4.0 Effects of season, storage time and wood type on the colour of thermally modified red alder wood 4.1 Introduction In Chapter 3, it was shown that freshly harvested red alder wood became red-orange when heated at low temperatures, but the intensity of the orange colour decreased if heating was prolonged or carried out at higher temperatures (Thompson et al. 2005). The colour of red alder wood after heat treatment appeared to depend on the strength of the reactions that produced the red-orange colour, thermal darkening of the wood, and destruction of red- orange chromophores. Heating schedules for red alder logs are not normally varied and, therefore, seasonal variation in the colour of red alder veneer sliced from heat treated cants probably occurs as a result of factors that influence the development of red-orange chromophores in the parent wood. These could include the length of time that red alder logs are stored for prior to heating because there was a positive correlation between heating time (up to 36 hours) at 30°C and the red colour of thermally modified wood (Figure 10). The colour of heated wood may also change seasonally due to variation in ambient temperature and the concentrations of oregonin and peroxidase enzymes in red alder wood which react to produce red-orange chromophores. A study by Gonzalez-Hernandez et al. (1999), found that oregonin varied seasonally in red alder. Concentrations decreased from spring to fall, with levels in the fall being approximately 50% of the spring levels. Similarly, a study on Japanese alder (Alnus hirsuta Turcz. and Alnus japonica Steud.) found that hirsutoside, identical to oregonin, decreased in the cork cambium, inner bark, and xylem as winter neared (Terazawa et al. 1984). Allen (1993) studied the development of stain within alder logs harvested in each of the four 39 seasons. The red-orange discolouration was strong in the spring and summer months, but less evident in the fall and winter. A recent study found that silver birch {Betula pendula Roth) wood harvested in spring and summer was redder and darker than wood harvested in autumn and winter (Mononen et al. 2002). Furthermore, the red colour of spring and summer felled wood was enhanced by prolonged storage (Mononen et al. 2002). Based on these observations and our earlier findings in Chapter 3, it is hypothesized that heat treated red alder wood will be darker and redder when the wood is obtained from logs harvested during spring and summer, and stored for longer periods of time, than when the wood is obtained from trees harvested during the autumn and winter and stored for shorter periods of time. The aim of this research was to test this hypothesis by examining the effect of season, storage time, and wood type (inner and outer sapwood and location along the stem) on the colour of red alder wood following 48 hour heat treatment at 70 °C under isothermal conditions. A better understanding of the extent and causes of variability in thermally modified red alder wood would help manufacturers of red alder veneer modify their processing techniques to produce more uniformly coloured veneer. 4.2 Methods and Materials 4.21 Sample Preparation Two groups of 16 trees were selected based on similarities in height (18-25 m), diameter (25- 32 cm at breast height), age (26 -31 years), and growing conditions (non-riparian). The groups of trees were located over 2 km apart on opposite sides of Malcolm Knapp Research Forest in Haney, British Columbia. Four trees from each group were felled every three months in the autumn (November/December), winter (February/March), spring (May/June) 40 and summer (July/August). The two groups of trees acted as two separate, higher-level replicates. Trees were felled 30 cm above ground level and a log measuring 3.05 m (10 feet) was cut from each tree. Each log was randomly assigned a number corresponding to its storage time prior to processing (0, 1, 2 or 4 weeks). The log in each group marked '0' was immediately sampled in the field. The remaining logs were transported to the University of British Columbia where they were placed on 15 x 15 cm lumber spacers to ensure they were not resting directly on the ground. Each log was exposed to the weather without any cover or protection. The ambient temperatures during the different storage periods are summarised below (Table 3). Table 3. Ambient air temperature - University of British Columbia (Biomet 2005) November / December 2003 February / March 2004 M a y / June 2004 July / August 2004 Average Ambient Temperature (°C) 5 . 2 3 ° C 7 . 1 2 ° C 1 3 . 3 5 ° C 1 9 . 6 9 ° C After storage of logs, four 15 cm discs were removed at distances of 71 cm apart to ensure that discs were evenly spaced along the log (Figure 11). The discs were labelled according to their location within the stem (A = 45 cm, B = 131 cm, C = 217 cm, and D = 303 cm above ground level) and a slat was cut from each disc using a band-saw. These slats were 1 cm wide and cut from bark-to-pith. The location of the slat was randomly selected on the outer edge of the disc prior to sawing. A 1 x 1 cm bark-to-pith sample was then cut from the middle (7 cm from top and bottom) of each slat (Figure 10). Each sample was wrapped in 8 x 23 cm sheets of aluminium foil and labelled with the appropriate disc and sample group numbers (e.g. C2). 41 4.22 Thermal treatments and colour measurement Samples were placed in 25 x 200 mm test-tubes which were submerged in pre-heated glycerol baths set at 70°C as previously prescribed (Chapter 3). Samples were heated for 48 hours and then removed from the aluminium foil. Samples were cross-cut within earlywood at positions located 3 rings from the pith and 5 rings from the bark, thus allowing colour measurements to be made on inner and outer sapwood. The exposed longitudinal surfaces were allowed to dry for 24 hours at room temperature and the colour of the thermally modified wood was measured using a Minolta CM-2600d spectrophotometer, as described previously (Chapter 3). The L* and a* parameters of several slices of veneer with desirable colour characteristics were also quantified. These measurements provide maximum and minimum acceptable limits for L* and a* values and are displayed as dashed lines on graphs displaying the colour of red alder wood samples following heat treatment (Figures 12-17). 42 4.23 Experimental design and statistical analysis This experiment used factorial principles to determine the effects of four fixed factors (season, storage time, bole position, and wood type) on two response variables (L* - lightness and a* - redness). Random effects arise due to between- and within-tree variation in wood properties, and elapsed time between replicate measures. Analysis of variance was used to examine fixed and random effects on the response variables. Statistical computation was performed using Genstat 5 at a p-value of 0.05 (5%) (Lawes Agricultural Trust 1994). Before the final analysis, diagnostic checks were performed to determine whether data conformed to the underlying assumptions of analysis of variance, i.e., normality with constant variance. Significant results (p<0.05) are presented graphically and least significant difference (LSD) bars are used to compare differences between means. In addition, we present a table (Table 4) summarising the significance of the fixed factors and their interactions on the colour of thermally modified red alder wood. 4.3 Results Table 4 summarises the statistically significant effects of experimental factors (season, storage time, and wood types) on the colour of thermally modified red alder wood. There were significant effects of season and wood type on L* (lightness) and storage, bole position, and wood type on a* (redness) (Table 4). There were also highly significant interactions of season and storage time on both L* and a*, and significant interactions of storage and bole position on L* and a* (Table 4). 43 Table 4. Significant effects of, and interactions between, season, storage time, bole position and Fixed Factors Response Variables Season (S) Storage (ST) Bole Position (BP) Wood Type (W) Interaction S x S T Interaction STxBP L* - lightness *** NS NS *** *** ** a* - redness NS * *** *** NS *** = p<0.001; ** = p<0.01; * = p<0.05 NS = not significant (p > 0.05) There was little variation in the lightness (L*) of wood harvested in different seasons and heated at 70°C immediately after felling, but significant differences in the colour of thermally modified wood samples occurred following storage of parent logs for 1, 2, and 4 weeks. In particular, wood harvested in spring and summer and stored for 1 and 2 weeks became significantly darker after heat treatment (Figure 12). This effect was pronounced in wood samples obtained from logs harvested in spring and stored outdoors for two weeks (Figure 12). Further storage of logs for 4 weeks, however, resulted in a lightening of the colour of thermally modified samples obtained from logs harvested in spring and particularly summer (Figure 12). The lightness of thermally modified wood obtained from logs harvested in autumn and winter decreased slightly as storage time increased, but differences in lightness were small. 71.0 69.0 67.0 65.0 63.0 i 61.0 '•Winter Spring 0 weeks 1 week 2 weeks Storage Period 4 weeks Figure 12. Effects of season and storage time on the L* (lightness) of heated red alder wood 44 Wood harvested in different seasons and heated at 70°C immediately after felling also showed significant differences in redness (a*) (Figure 13), in contrast to the results for lightness (Figure 12). The redness of thermally modified wood obtained from logs harvested in the different seasons and heated immediately after felling decreased as follows: winter > autumn >summer > spring. In spring, in particular, and also in summer there was a positive correlation between storage time of logs up to two weeks and redness of thermally modified wood (Figure 13). After 4 weeks storage, however, the redness of heated samples from logs harvested in summer, autumn, and spring decreased significantly. In contrast, the colour of thermally modified wood obtained from trees harvested in winter decreased with storage up to 2 weeks and then increased slightly thereafter (Figure 13). 11.5 11.0 10.5 10.0 « 9-5 9.0 8.5 ^ 8.0 7.5 Isd = 0.1414 Winter Summer 0 weeks 1 week 2 weeks Storage Period 4 weeks Figure 13. Effects of season and storage time on the a* (redness) of heated red alder wood The effect of storage of logs on the lightness of thermally modified wood depended on the location of the wood along the bole. The lightness of heated samples obtained from positions A and C (45 and 217 cm above ground level) was negatively correlated with storage time of logs (Figure 14). Samples obtained from positions B and D (131 and 303 cm above ground 45 level) showed a similar trend up to two weeks storage, but samples obtained from logs stored for 4 weeks were lighter following heat treatment than those obtained from logs stored for two weeks. 69.5 68.5 67.5 1 , 66.5 _i 65.5 64.5 63.5 62.5 Isd = 0.978 0 weeks.. 45cm 131cm 217cm Height above ground level 303cm Figure 14. Effects of storage time and bole position on the L * (lightness) of heated red alder wood There was no significant interaction of storage time and bole position on the redness of heated samples, as heated samples obtained from lower in the stem were redder than those obtained further up the stem, irrespective of how long the logs were stored prior to sampling (Figure 15). 11.6 11.1 10.6 *«o 10.1 9.6 9.1 ^ 8.6 Isd = 0.1414 9.344 9.211 I.078 45 131 217 303 Height above ground level (cm) Figure 15. Effect of bole position on the a* (redness) of heated red alder wood 46 Wood obtained closer to the pith was significantly darker and redder following heat treatment than wood closer to the bark (Figures 16 and 17). There was no significant interaction of wood type with the other experimental factors (season, storage, and bole position) and, therefore, results in Figures 16 and 17 are averaged across these factors in accordance with the factorial design of the experiment. Inner Outer Figure 16. Effect of wood type on the L* (lightness) of heated red alder wood 11.5 11.0 10.5 9.0 7.5 7.0 - 9.404 | Isd = 0.2036 - 8.989 inner Outer Figure 17. Effect of wood type on the a* (redness) of heated red alder wood 4.4 Discussion Manufacturers of red alder veneer sliced from heated cants have remarked on seasonal variation in the colour of the veneer (Kaufmann 2003). Our results suggest that the basis for such variability lies in a complex interaction between the season in which trees are harvested 47 and the length of time logs are stored prior to heat treatment. For example, wood harvested in spring and stored for two weeks prior to heat treatment was significantly darker and redder following heat treatment than similarly heated wood obtained from logs harvested in other seasons. If the storage time of wood harvested in spring was extended to four weeks, however, the wood became lighter and less red following heat treatment. More pronounced, but directionally similar, colour reversion was noted for heat treated wood obtained from logs harvested and stored in summer. In Chapter 3, it was hypothesised that the colour of thermally modified wood depended on the production and destruction of red-orange chromophores during heating, and the thermal darkening of the wood during heat treatment. Wood heated at 30°C was significantly darker than wood heated at higher temperatures and it was suggested that this was due to the development of red-orange chromophores that influenced the final colour of the heat treated wood. Wood samples were heated immediately after trees were felled, whereas, in this chapter, some logs were stored for 1, 2, and 4 weeks prior to sampling and heat treatment of wood. Storage of logs prior to heat treatment would allow the development of red-orange chromophores in wood particularly in spring when temperatures were moderately high (13.35°C, Table 1) and concentrations of oragonin in the wood are likely to be high. Karchesy and Laver (1974) found that oregonin was involved in the formation of red-orange chromophores in red alder and Gonzalez-Hernandez et al. (1999) showed that oregonin varied seasonally and was at a maximum in spring. Terazawa et al. (1984) also found that oregonin (hirsutoside) was at a maximum in the spring and summer. These previous findings and the results in this chapter strongly suggest that reactions responsible for the red-orange discolouration of red-alder wood at ambient temperatures also influence the colour of the wood following thermal modification. 48 The generation of orange-red chromophores in wood during storage and their retention in the wood following heat treatment (thereby influencing the final colour of the heat treated wood) may explain why there was a positive correlation between storage time of logs up to two weeks and redness of thermally modified wood. In accordance with this suggestion, Hon and Shiraishi (1990) mention that the rate of enzymatic induced discolouration of several wood species is positively correlated with temperature and increases steadily above 20°C. The colour reversion in heat treated samples obtained from logs stored for 4 weeks may be due to decreases in the concentrations of red-orange chromophores in wood following prolonged storage. Such decreases would be consistent with our previous observations in Chapter 3 that the red-orange colour of red alder wood heated at 30°C increased initially, but then decreased. The latter observation was explained as being due to destruction of red orange-chromophores and such an explanation would also explain why the colour reversion of heat treated wood was most pronounced in samples obtained from logs stored for 4 weeks in summer, when ambient temperatures were at their highest (19.69°C, Table 3) (Figure 13). Differences in CIE Lab parameters of 3 units are discernable to the human eye according to Phelps et al. (1994) and variation in the colour of thermally modified red alder wood of this order of magnitude occurred in wood harvested in spring and stored for two weeks before thermal modification. Furthermore, such wood was darker than the maximum level preferred in veneer sliced commercially from heated veneer cants. Some manufacturers of red alder veneer from heat treated wood have observed that it is difficult to obtain veneer with acceptable colour in the spring when the 'sap is running' (Kaufmann 2003), and our findings are in accordance with their observations. It may be possible to reduce the darkness of 49 thermally modified veneer cut from heated cants harvested in spring by processing wood immediately after harvesting, since there was a positive correlation between the darkness of heat treated wood and storage time (up to two weeks). Alternatively, storage could be extended because thermally modified veneer cut from logs stored for four weeks was lighter than similarly modified veneer cut from logs stored for 1 and 2 weeks. However, thermally modified veneer cut from logs stored from 4 weeks lacked sufficient redness and, in practice, it might be difficult to control colour by adjusting storage time of logs prior to heat treatment because of seasonal variation in temperature. Without further research to develop season/storage specific heating schedules, manufacturers may have greater success in processing fall and winter felled logs if they want to obtain more uniformity of colour in heat treated veneer. In Chapter 3, small, but statistically insignificant differences in the colour of pith-to-bark red alder wood samples heated at 70°C were found, whereas results here clearly showed that wood nearer the bark was lighter and less red than wood near the pith following thermal modification at 70°C, irrespective of season in which the parent log was felled or the length of time it was stored prior to processing. Kozlik (1967) also found that red alder wood nearer the bark was lighter after heat treatment than wood nearer the pith. Similar findings were found for kiln dried silver birch in Mononen et al. (2002). Temperature gradients are likely to exist in veneer cants during steaming and higher temperatures in the outer wood and increased thermal browning are likely to compensate for the tendency of the outer wood to be lighter after heat treatment. In contrast, higher temperatures in the periphery of the veneer cant during heat treatment would tend to reduce the redness of outer wood further because of 50 the negative correlation between temperature and redness of heat treated red alder wood (Chapter 3). Wood samples obtained from lower in the stem tended to be redder than those higher up following thermal modification, but the differences were small and would be barely discernable to the human eye. Similarly, differences in lightness of thermally modified wood as a result of the interaction of bole position of samples and season were also small. Therefore, differences in colour of thermally modified wood due to sampling position along the tree stem are unlikely to translate into large colour variation along the length of veneer sheets. In Chapter 3, it was found that the colour of thermally modified red alder wood depended on heating time and temperature and suggested that processing technology needed to be developed to evenly heat veneer cants in order to obtain uniformly coloured veneer from such cants. The results here suggest that even if veneer cants could be more evenly heated by reducing their size or employing different heating technology, significant seasonal variation in veneer colour would still persist as a result of the season x storage interactions noted here. In Chapter 3, it was found that increasing heating time and temperature could alter the colour of thermally modified red alder wood, and careful adjustment of these parameters could be used to reduce seasonal variation in colour of veneer sliced from heated cants. Further research involving thermal modification of large veneer cants would be needed to develop heating schedules to minimise seasonal variation in the colour of sliced red alder veneer. 51 4.5 Conclusions 1. Variation in the colour of red alder wood heated at 70°C may arise as a result of complex interaction between the season in which parent trees are harvested and the length of time that logs are stored prior to heat treatment. In particular, large variation in the colour of thermally modified red alder wood can develop in wood harvested in spring and stored for two weeks prior to heat treatment. The colour of heat treated wood from fall and winter felled logs are less affected by storage time and matches industry colour preferences. 2. Wood cut from nearer the bark was lighter and less red than wood near the pith following thermal modification at 70°C, irrespective of season in which the parent log was felled or the length of time that it was stored prior to processing. 3. The effects of season, log storage time, and wood type on the colour of thermally modified red alder wood, in addition to the known effects of temperature and heating time on wood colour, explain why it is very difficult in practice to obtain uniformly coloured veneer from heated red alder cants. 4. Careful control of heating temperature and time and development of differential heating schedules or storage times for wood harvested in different seasons could be used to minimise seasonal variation in the colour of veneer sliced from heated red alder cants. 52 5.0 General Discussion Industrial manufacturers of red alder veneer find it difficult to achieve uniform colour in sequentially sliced veneer due to the complex suite of competing reactions and thermal gradients involved in the thermal modification of red alder wood. Added variability arises from the dependence of these reactions on treatment temperature and time, seasonal changes, effects of storage prior to processing, and wood type (inner/outer sapwood and position in the stem). Results from experiments described in this thesis (Chapters 3 and 4) have suggested changes to the processing of red alder that could lead to better colour uniformity in sliced alder veneer. In Chapter 3, samples of red alder were exposed to different temperatures and heating times in order to better understand the effect of thermal treatments used in industry on the colour of veneer sliced from cants. Results showed that colour variation from pith to bark was minimised and the desired colour was imparted by heating red alder at 70°C for a period greater than 24 hours. It should also be noted that moisture contents of alder samples decreased as treatment temperature and heating time increased. The colour of heat treated wood depends on temperature and wood moisture content (Thomassen 1986; Yeo and Smith 2004). Therefore, the key to controlling wood colour in veneer cants during heat treatments may lie in carefully balancing treatment temperature / time and wood moisture content. In Chapter 3, the 70°C / 36 hour heat treatment, which was successful in producing a uniform colour in red alder, was only applied to breast height wood samples taken from trees harvested in summer and processed immediately after felling. In Chapter 4, the optimised 53 heating protocols developed in Chapter 3 were applied to wood harvested in different seasons (spring, summer, fall and winter), stored for different time periods (0, 1, 2, and 4 weeks), and consisting of inner/outer sapwood obtained from various position along the stem. Results in Chapter 4 showed that these three factors had a significant effect on the colour of heated red alder samples. In particular, season and storage had a significant interactive effect on both the lightness (L*) and redness (a*) of heated red alder samples. Heated samples taken from trees harvested in spring and summer, were redder and darker as storage time of the parent wood increased to 2 weeks. However, the effect reversed after 4 weeks of storage with redness decreasing and lightness increasing. Allen (1993) found that stain persisted within red alder logs for up to 6 months. Findings in Chapter 4 strongly suggested that reactions responsible for the red-orange discolouration of red alder wood at ambient temperatures also influenced the colour of the wood following thermal modification. The reversion in red colour of heated wood obtained from logs stored for 4 weeks may be associated with a decrease in the intensity of red-orange colour of wood during storage. Such decreases would be consistent with observations in Chapter 3 that the red-orange colour of red alder wood heated at 30°C increased initially, but then decreased with further heating. Accordingly, manufacturers of red alder veneer from raw logs should consider processing spring and summer felled logs immediately or once the intensity of the stain has decreased. Overall, the colour of heat treated wood from fall and winter harvested logs was less affected by storage and also produced wood samples that better matched industry colour preferences. The effect of bole position on the colour of heat treated wood, although significant, was less important than the effects of season and storage, and for all wood types (positions in stem), 54 the colour measurements for both L* and a* remained within the desirable colour limits. Also, differences in a* values at different stem heights, although statistically significant, were quite small and indiscernible to the human eye (Phelps et al. 1994). The effects of wood type (inner and outer sapwood) on the colour of heat treated red alder was examined in both experimental chapters. However, it should be noted that the effect of wood type on the colour of heat-treated wood in Chapter 3 was only based on data for wood sampled in one month (August). In contrast, results in Chapter 4 were based on data for wood samples collected in each season. In both experiments, the inner sapwood was significantly darker than the outer sapwood following heat treatment at 70°C for 48 hours. In Chapter 4, it was that the found the inner sapwood was redder following heat treatment (agreeing with lightness measurements); however, the same trend was not observed in Chapter 3. In Chapter 3, it was found that the colour of thermally modified red alder wood was influenced by the temperature and length of time that samples were heated. It was suggested that technology needed to be developed or utilized to evenly heat veneer cants in order to achieve colour uniformity from pith to bark or throughout the entire cant. The results from Chapter 4 suggest, however, that even if veneer cants could be evenly heated by reducing their size or using different heating technology, the effects of harvesting season and storage would still create variation between and possibly within slices of veneer. Based on the results from Chapters 3 and 4, it is suggested that further research is required to develop 55 treatment schedules to minimise variation in the colour of heat treated red alder caused by season and storage. 56 6.0 Overall Conclusions 1. The colour of thermally modified red alder wood depends on the strength of reactions that produce red-orange chromophores in the wood, thermally darken the wood, and destroy the red-orange chromophores. Therefore, the key to controlling colour in veneer cants during thermal treatments lies, in part, in balancing these competing reactions through careful control of heating temperatures and durations. 2. Variation in the colour of red alder wood following heating appears to be due to a complex interaction between the season in which parent trees are harvested and the length of time logs are stored prior to heat treatment. In particular, large variation in colour of thermally modified red alder wood can develop in wood harvested in spring (when concentrations of oregonin are high) and stored for two weeks prior to heat treatment. Overall, fall and winter felled logs were less affected by storage and produced samples within industry colour preferences. 3. There was evidence to suggest that red-orange chromophores responsible for the staining of red alder wood at ambient temperatures influences the colour of the wood following thermal modification. 4. Wood cut from the outer sapwood and heated was lighter and less red than similarly heated wood cut from the inner sapwood. 5. 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United States Department of Agriculture, Forest Service, Forest Products Laboratory, Madison. Agriculture Handbook: 188. Stenudd, S. 2004. Colour response in silver birch during kiln-drying. Forest Products Journal. 54(6):31-36. Strategis. 2004. Trade data online. Industry Canada. [http://strategis.gc.ca/sc_mrkti/tdst/engdoc/tr_prod.html Internet. Accessed 13 August 2003.] Sundqvist, B. 2002. Colour response of Scots pine (Pinus sylvestris), Norway spruce (Picea abies) and birch (Betula pubescens) subjected to heat treatment in capillary phase. Holz Roh-Werkst, 60(2): 106-114. Terazawa, M., H. Okuyama, M. Miyake and M. Sasaki. 1984. Phenolic compounds in living tissue of woods IV. Mokuzai Gakkaishi. 30(7):587-600. Thomassen, T. 1986. Brown discolouration of sawn beech wood during kiln-drying. Teknologisk Institut, Tastrup, Denmark. 17 pp. Troyer, J.G. 2004. Personal Communications. Regional Forester, United States Department of Agriculture, Forest Service, Intermountain Region. 01 April 2004. 62 Western Hardwood Association (WHA). 2004. Hardwood specifications. [http://www.westemhardwood.com/hardwood_specifications.shtml Internet. Accessed 03 April 2004] Weyerhaeuser. 2004. Northwest Hardwoods: Production Facilities. [http://www.weyerhaeuser.com/ourbusinesses/buildingproducts/hardwoods/facilities/ Internet. Accessed 14 April 2004.] White, R.H. and M.A. Dietenberger. 2001. Wood Products: Thermal Degradation and Fire. Encyclopaedia of Materials: Science and Technology, pp. 9712-9716. Worthington, N.P., R.H. Ruth and E.E. Matson. 1962. Red Alder: its management and utilization. USDA For. Serv., Misc. Publ. 881. Worthington, N.P., J.A. Johnson, G.R. Staebler, and W.J. Lloyd. 1960. Normal yield tables for red alder. USDA Forest Service, Northwest Forest and Range Experiment Station. Research Paper 36. van Hees, W.S. 2001. Summary Estimates of Forest Resources on Unreserved Lands of the Tongass National Forest, Southeast Alaska, 1998. United States Department of Agriculture, Forest Service, Pacific Northwest Research Station. Resource Bulletins: PNW-RB-232 to 234/ Yeo, H. and W.B. Smith. 2004. Control of interior darkening in hard maple. Wood and Fiber Science. 36(3):417-422. 63 Appendix 1 - Publication Wood and Fiber Science July 2005 Thermal Modification of Colour in Red Alder Veneer. 1, Effects of Temperature, Heating Time and Wood Type DUPLICATE THERMAL MODIFICATION OF COLOR IN RED ALDER VENEER. 1, EFFECTS OF TEMPERATURE, HEATING TIME AND WOOD TYPE Derek W. Thompson Graduate Student Robert A. Kozak Associate Professor and Philip D. Evanst Professor Centre for Advanced Wood Processing Department of Wood Science University of British Columbia Vancouver. BC, Canada V6T IZ4 (Received September 2004) ABSTRACT Red alder has become one of the most widely traded hardwood species in Noah America, and sliced red alder veneer is commonly applied as a decorative overlay on composite wood panels used by the furniture and cabinet industries. Red alder wood, however, acquires a mottled orange color following felling, which is undesirable when the wood is used for decorative purposes. Heating red alder wood remedies this problem to some extent, but there is sail an unacceptable level of variability in the color of veneer sliced from heated veneer cants. This study examined the variation in color of red alder wood samples cut sequentially from the pith to the bark and subjected to heating under isothermal conditions. The aim was to examine whether within-tree variation in the susceptibility of red alder wood to thermal darkening can explain variation in color of veneer sliced from steamed red alder cants, and to determine the optimal thermal treatment (temperature and time) that can impart the tan color to red alder wood that industry is seeking. Results indicated that there was within-tree variation in the color of red alder samples following thermal treatment, but differences were pronounced only when wood was heated at a low temperature. Wood close to the bark tended to be redder than wood close to the pith when heated at 30°C, but such a difference was absent in wood heated at higher temperatures ( 5 0 - 9 0 ° C ) . Heating red alder wood, in vitro, at 70°C for 36 h produced wood that was evenly colored from pith to bark and matched the current industry color preference. It is suggested that the color of thermally modified red alder wood depends on the strength of reactions that produce orange/red chromophores in the wood, thermal dark- ening of the wood, and destruction of orange/red chromophores. Keywords: Red alder, veneer, color, thermal modification. INTRODUCTION Red alder (Alnus rubra Bong. ) has become one o f the most economica l ly important hard- wood species in Nor th A m e r i c a ( A H E C 2003). S l i ced red alder veneer is commonly used as a f Member of SWST. Wood and Fiber Scitnce. 37(1), 2005. pp. 000-000 O 2005 by ihc Sociery of Wood Science â d Technology decorative overlay on composite wood panels (particleboard and medium density fiberboard), w h i c h are then used in the manufacture of cab i - nets and furniture (Hibbs et a l . 1994). Red alder w o o d , however, acquires a mottled orange co lor after f e l l i ng , w h i c h is undesirable when the w o o d is used for cabinets and furniture ( K o z l i k 1987; Kaufmann 2003; S impson 1991). T o over- 65 WOOD A N D FIBER SCIENCE. JULY 2005. V. 37(3) 2 come this problem, sawn alder lumber is steamed at temperatures of 66° to 100°C for varying periods of time (Kozlik 1962, 1967, 1987; Kozlik and Boone 1987). Steaming pro- duces a uniform tan color on the surface of red alder lumber, but no studies have examined the thermal modification of color in red alder veneer cants. Industry reports, however, suggest that it is much more difficult to achieve color unifor- mity in veneer sliced sequentially from steamed cants (Kaufmann 2003). Radial variation in wood color in the cants, possibly caused by ther- mal gradients within veneer cants during steam- ing, could explain such variability. Alterna- tively, within-tree variation in the susceptibility of red alder to thermal discoloration could be responsible for the variation in color of sliced veneer. Variability in the color of sliced veneer is highly undesirable because veneer sheets pressed onto composite wood panels need to be color matched to meet the demands of consum- ers for red alder furniture and cabinets with uni- form color (Raettig et al. 1995). This study examined the variation in color of red alder wood samples cut sequentially from the pith to the bark and subjected to heating under isothermal conditions using four tempera- tures (30° , 5 0 ° , 7 0 ° , and 9 0 ° C ) and five heating times (8, 24, 36, 48, and 72 h). The aim was to examine whether within-tree variation in the susceptibility of red alder wood to thermal dark- ening can explain variation in color of veneer sliced from steamed red alder cants, and sec- ondly to determine the optimal thermal treat- ment (temperature and time) that can impart the favored tan color to red alder wood. LITERATURE REVIEW The majority of research on the discoloration of wood at ambient temperatures and thermal modification of wood color has been undertaken in order to eliminate the discoloration of wood that can occur during the kiln-drying of lumber. Few studies have focused directly on the thermal modification of wood color in veneer cants, de- spite the widespread presteaming of such cants prior to veneer slicing. The results of several studies that have examined color changes in wood at ambient and elevated temperatures, however, are relevant to the thermal modifica- tion of color in veneer cants. Changes in the color of wood can occur at ambient temperatures as a result of enzyme- mediated (Maillard) reactions between sugars, phenolic compounds, and amino acids. These reactions, which are similar to the ones causing the browning of freshly cut fruit, occur in living parenchyma cells where they create amorphous globules of colored material (Yeo and Smith 2004). Simpson (1991) described a red to orange discoloration that occurs in freshly cut red alder wood and suggested that it was due to an oxi- dative reaction between extractives and the at- mosphere. Abe et al. (1994) also suggested that the reaction between extractives and atmo- spheric oxygen under weakly alkaline conditions was responsible for color changes in freshly cut sugi (Cryptomeria japonica (L.f.) Don) wood. They concluded, however, that enzymes were not responsible for the color changes. Enzymatic reactions, however, were thought to be respon- sible for the mottled discoloration of several spe- cies upon exposure of green wood to oxygen (Hon and Shiraishi 1991). The discoloration of wood during kiln-drying has also been linked to Maillard reactions, al- though heat applied during drying may cause colored compounds to darken and migrate to- wards the surface of boards as free water is re- moved during drying. Kapp et al. (2003) sug- gested that Maillard reactions were responsible for kiln brown and yellow stain of South African grown pine species (Pinus elliottii Engelm, P. patula Schlecht and Chamisso, and P. taeda L-) during kiln-drying. They noted a distinct transi- tion from yellow to brown stain as the drying temperature exceeded 80 3 C. McDonald et al. (2000) also suggested that Maillard reactions were responsible for the chocolate brown discol- oration of radiata pine (Pinus radiata D. Don) sapwood during drying. The degree of discolor- ation was thought to be dependent on the chemi- cal composition of extractives, wood pH, and drying temperature. Heat can directly alter the color of wood by 66 Thompson et al—THERMAL M O D I F I C A T I O N O F C O L O R O F R E D A L D E R causing hydrolysis and oxidation of wood c o m - ponents. A c c o r d i n g to White and Dietenberger (2001), darkening of wood due to heat is caused by thermal degradation of hemicelluloses and l ignin , and can commence at temperatures as low as 6 5 ° C , depending on wood p H , moisture content, heating medium, exposure period, and species. Hence, hydrolysis o f hemicelluloses can occur at temperatures wi th in the range employed to k i ln -dry timber, and several studies have ex- amined the discolorat ion o f hardwoods dur ing dry ing . K o l l m a n n et a l . (1951) found that tem- peratures and relative humidities in excess o f 5 0 ° C and 65% R H were required to produce a red color change in maple (Acer sp.) and beech (Fagus sp.). MUlet t (1952) found that d ry ing temperatures of 65° , 80° , and 9 0 ° C produced a brown color in sugar pine (Pinus lambertiana Dougl . ) , oak (Ouercus sp.), and spruce (Picea sp), respectively, when the relative humidi ty during dry ing was 65%. Sundqvist (2002) ex- posed white b i rch (Betula pubescens Ehrh . ) , Scots pine (Pinus sylvestrts L . ) , and N o r w a y spruce (Picea abies L . ) to temperatures o f 6 5 ° , 80° . and 9 5 ° C for 0, 1, 3, and 6 days. Each species showed pronounced darkening when the temperature exceeded 8 0 ° C . The duration o f heat treatment was more important than tem- perature in changing the color o f birch, whereas both factors were of s imi lar importance in alter- ing the color o f pine and spruce. Thomassen (1986) cited by Stenudd (2004) found a brown- red discolorat ion of the core of European beech (Fagus sylvatica L . ) boards during convect ion dry ing at - 4 0 ° C . Discolorat ion occurred when the wood reached fiber saturation point (25 to 35% moisture content). Stenudd (2004) reached the same conclusion when examining the d i s c o l - oration of si lver birch (Betula pendula Roth.) dur ing k i l n -d ry ing . Recently^ Y e o and S m i t h (2004) found that internal darkening of hard maple (Acer saccharum Marsh.) developed at or above 4 3 ° C when wood moisture content was at apd above fiber saturation point. Discolorat ion of wood during k i ln -dry ing is generally regarded as a defect; however, heating o f wood is sometimes deliberately employed to change wood color. Brauner and C o n w a y (1964) found that co lo r change in black walnut (Juglans nigra L . ) was most noticeable when the w o o d was steamed at between 100 and 1 1 0 ° C for 4 to 6 h. Charr ier et a l . (2002) immersed walnut logs in water at temperatures o f 8 0 ° to 9 0 ° C for up to 51 h and then measured co lo r changes in sap- wood and heartwood using a spectrophotometer. T h e y found that the thermal treatments pro- moted the darkening and reddening o f the w o o d , but the darkening was more prominent in heart- wood than in sapwood. K o z l i k (1962) found that presteaming red alder lumber at 88° to 9 3 ° C for 11 to 12 h resulted in wood with the best co lo r uniformity. K o z l i k (1967) tested several c o m b i - nations o f temperatures and heating times dur ing the dry ing o f red aider, but none o f them were able to achieve both color uniformity and ab- sence o f sticker stain. A subsequent study, how- ever, found that steaming red alder lumber at 100°C for at least 4 h (before air- or k i ln -dry ing) el iminated sticker stain and prevented mot t l ing ( K o z l i k 1987). K o z l i k and Boone (1987) found that steaming red alder lumber at 9 9 ° C for, 6 h during k i ln -d ry ing produced boards wi th the de- sired qual i ty , co lo r uni formi ty , and moisture content. However , to improve color uniformity , K o z l i k (1987) recommended that red alder l u m - ber should be presteamed for at least 12 h at 6 6 ° C to 7 7 ° C , wi th the duration o f steaming increasing as ini t ia l moisture content decreased. It should be noted that observations by K o z l i k and Boone (1987) are relevant only to surface discolorat ion o f red alder lumber, and they d id not examine subsurface color changes in logs or cants, wh ich are o f greater importance for wood used for the production of s l iced veneer. MATERIALS AND METHODS Sample preparation Four red alder trees g rowing in the M a l c o l m Knapp Research Forest in M a p l e Ridge , Br i t i sh C o l u m b i a , were selected based on similari t ies in their height ( 1 8 - 2 5 m), diameter ( 2 5 - 3 2 c m at breast height); age ( 2 6 - 3 1 years), and g rowing conditions (non-riparian). Trees g rowing in r i - parian zones (adjacent to streams) were avoided. 6 7 4 WOOD AND FIBER SCIENCE. JULY 2005. V. 37(3) as harvest restrictions in British Columbia limit the removal of any species in or adjacent to such areas. A single tree was sampled each week over a period of 4 weeks in August 2003 (4 trees in total). Thus each tree and sampling period acted as a separate replication. Trees were marked at breast-height (1.3 rn above ground level), felled, and inspected for the presence of abnormalities such as rot or scarring. Four cross-sectional discs were cut from each tree: two immediately above and two immedi- (F?) ately below breast-height (Fig. 1). Each disc was 15 cm thick (longitudinally) and was free from interna! rot or scarring The four discs were ran- domly assigned a letter (A, B, C, or D) and immediately transported to the laboratory for further processing. Five quarter-sawn slats were cut from each of the four discs using a bandsaw. Slats were 1 cm wide (tangentially) and cut from bark to pith (Fig. 1). The moisture content of separate pith- to-bark samples, expressed as a percentage of their oven-dry weight (obtained by oven-drying samples overnight at 105°C) , was found to vary from 95 to 127%. The location of each slat was randomly selected on the outer circumference of the disc pnor to sawing. A 1- x I-cm pith-to- bark sample was then cut from the middle (7 cm from top and bottom) of each slat resulting in five 1- x I-cm samples from within each disc. Each sample was sealed in an 8- x 23-cm sheet of aluminum foil to reduce the rate of drying of samples dunng heating, labeled with the appro- 1 i Fic. I. Sampling of red alder trees and preparation of priate disc letter ( A - D ) and randomly assigned a treatment number (1-5) (Fig. 1). Thermal treatments and color measurement Samples obtained from the same discs were allocated to the same treatment temperature. Thus, samples from discs A , B, C , and D were subjected to thermal modification at tempera- tures of 30° , 50° , 7 0 ° , and 9 0 ° C , respectively. The 5 samples from within each disc were ran- domly allocated to the different heating times, 8, 24, 36, 48, and 72 h. Samples were placed in 25- x 200-mm test- tubes that were submerged in preheated glycerol baths set at 30° , 50° , 70° or 9 0 ° C . Each testtube was covered, but not completely sealed, to avoid pressure build-up. Samples were removed from the tubes after heating and allowed to cool at room temperature. for 30 min. They were then unwrapped from the aluminum foil and cross-cut every fifth growth ring starting at the pith and finishing in the outer sapwood. Thus, five sub- samples were produced from each pith-to-bark sample, each containing five growth rings with the earlywood exposed longitudinally. Exposed early wood faces were allowed to dry for 24 h at room temperature and their color was then mea- sured using a spectrophotometer (Minolta C M - 2600d). Earlywood was chosen for color mea- surements as it forms the majority of the wood in red alder (Parker et al. 1978). A total of 400 color measurements were made. Color is ex- .2 3 4 5 samples. 68 Thompson et al-—THERMAL MODIFICATION O F C O L O R O F RED A L D E R pressed using the CIE L * a * b * space system, which consists o f three parameters: L* is light- ness (0 = black; 100 = white), a* is greenness/ redness (-60 = green; 60 = red), and b* is blueness/yellowness (-60 = blue; 60 = y e l - low) ( M i n o l t a 1998). A c c o r d i n g to Phelps et a l . (1994), a difference o f approximately three co lo r units can be detected by the human eye. Y e l l o w - ness and blueness were insignificant character- istics o f co lor change in thermally modif ied red alder, and hence b* measurements are not pre- sented or discussed in this paper. Separate pith-to-bark samples were weighed, wrapped in fo i l , and heated, as above, at 20° ( room temperature), 30°, 50°, 70°, and 90°C. The samples were removed from the test tubes per iodica l ly (after 8, 24, 36, 48, and 72 h) and reweighed. Af ter 72 h, the samples were oven- dried at 105°C for 7 h and their moisture con- tents calculated. In order to compare the color o f samples sub- jected to the different heat treatments with that o f commerc i a l ly produced veneer, the co lor o f several red alder veneer sheets wi th the desired tan co lo r was measured. The co lo r o f these ve- neers provided reference max ima and min ima for L * and a* values obtained from the measure- ment o f the color o f samples from red alder trees (above), and are displayed as dashed lines on graphs depict ing results o f this study in Figs. 2-5. W h i l e these max ima and m i n i m a provide a general range of favorable co lor measurements, they were not mathematically derived, nor do 1 2 3 4 5 Ring tocation (pith to bark) FIG. 2. Effects of temperature and ring location on a* (redness) of heated red alder wood. 5 they represent a co lor standard for the red alder veneer industry as a whole. Experimental design and statistical analysis Thi s experiment used factorial pr inciples to de termine the effects o f three f i x e d factors (treatment temperature, heating time, and ring location) on two response variables (TL* ( l ight- ness) and a* (redness)). R a n d o m effects arise because o f between- and within-tree variation in w o o d properties, and elapsed time between rep- licate measures. A n a l y s i s o f variance was used to examine f ixed and random effects on the re- sponse variables. Statistical computa t ion was performed using Genstat 5, using a p-value of 0.05 (5%) (Lawes Agr icu l tu ra l Trust 1994). Be - fore the final analysis, diagnostic checks were performed to determine whether data conformed to the under ly ing assumptions o f analysis o f variance, i.e., normali ty wi th constant variance. S i g n i f i c a n t results (p < 0.05) are presented g r a p h i c a l l y and least s i gn i f i can t d i f fe rence (LSD) bars are used to compare differences be- tween means. R E S U L T S There were significant effects o f temperature, heating t ime, and ring location on L * (lightness) and a* (redness) (Table 1). There were also s ig- nificant two-way interactions of temperature and heating time on a* and temperature and ring locat ion on L * and a* (Table 1). The overa l l effect o f increasing temperature du r ing the thermal modif ica t ion o f red alder w o o d was to make samples sl ightly less red (a* decreased) and darken them ( L * decreased) (Figs . 2 and 3, respectively). Differences in the lightness and redness o f samples heated at 70° and 90°C were smal l and generally statistically insignificant. The effect o f temperature on the co lo r o f the wood, however, depended on the location o f the sample within the tree, as ind i - cated by the significant temperature x ring loca- tion interaction in Table I. W o o d samples cut adjacent to the bark developed a more pro- nounced orange/red color when heated at 30°C 69 6 WOOD A N D FIBER SCIENCE. J U L Y 2005, V. 37(3) TABLE 1. Significant effects of, and interactions between, treatment temperature, heating time, and ring location on L* and a* color parameters. Fixed Factors Response variables Temperature (T) Heating time (H) Ring Location (R) T x H T x R H x R T x H x R L'-lightness *** *** *** NS *** NS NS a*-redness *** *** _ _ *** «** NS NS p < 0.001: NS - not significant (p > 0.05) than samples cut c lose to the pith. This obser- vation is reflected by the relatively high a* va l - ues and lower L * values for the relevant samples (3 to 5) in F igs . 2 and 3. In contrast, the effect o f r ing locat ion on the co lo r o f samples heated at 5 0 ° , 7 0 ° and 9 0 ° C was smaller. Within- t ree dif- ferences i n the c o l o r o f the rmal ly m o d i f i e d samples were least pronounced for those heated at 7 0 ° C , and the co lo r o f these samples a l l fel l wi th in the preferred co lo r l imits for red alder veneer. 0 [f results in Figs . 2 and 3 are compared, it can be seen that there were marked differences in the pith-to-bark variation in redness and Lightness o f red alder wood fo l lowing thermal modif ica t ion at different temperatures. Differences in the'red- ness o f w o o d close to the pith (samples 1 and 2) were sma l l irrespective o f heating temperature, inc lud ing samples heated at 3 0 ° C . A s mentioned above, w o o d close to the bark was redder and darker when heated at 3 0 ° C , but differences in the redness- o f samples heated at 5 0 ° , 7 0 ° and 9 0 ° C were smal l , irrespective o f their location in the tree stem. In contrast, there were significant differences in the lightness o f w o o d heated at higher temperatures ( 7 0 ° and 9 0 ° C ) compared to 30.0 76.0 72.0 • 68.0 • 64.0 60.0 H 56.0 t 2 3 . 4 5 Ring Location (pith to bark) FIG. 3. Effects of temperature and nng location on L* (lightness) of heated red alder wood. those heated at l ower temperatures ( 3 0 ° and 5 0 ° C ) , par t icular ly for wood close to the pi th . Samples heated at 7 0 ° C were darker than those heated at 9 0 ° C , but the differences were not sta- t is t ica l ly significant . F igure 4 shows the effect o f heating time on [ the L * value for thermally modif ied samples. Results i n this Figure are averaged across tem- perature and ring number as there were no s ig- nificant interactions o f heating time wi th tem- perature o r r i n g l o c a t i o n ( T a b l e 1). W o o d samples became darker as the length o f t ime that they were exposed to heat increased. Thus, L * decreased from 73.90 for samples heated for 8 h to 67.18 for samples heated for 72 h. Heat ing times o f 24 to 72 h produced values for L * that fe l l w i th in industry preferences. The effect o f heating time on the redness o f samples depended on temperature as indicated by the significant temperature x heating time interaction in Tab le 1. This occurred because there was a pronounced increase in the redness o f samples heated at 3 0 ° C over the first 36 h fo l l owed by a pronounced decrease over the fo l - l o w i n g 36 h, whereas there was little change over t ime in the redness o f samples heated at h ighe r temperatures (w i th the e x c e p t i o n o f 76.0 720 68.0 64.0 60.0 56.0 1 U d = l . l 0 5 6 7 7 9 67.39 8 12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 Time (hours) FIG. 4. Effects of heating time on L * (lightness) of red alder wood. 70 et al.—THERMAL MODIFICATION O F C O L O R O F RED A L D E R 7 7.0 6.0 I : : — 3 12 '.6 20 24 28 32 36 40 44 48 52 56 60 64 68 72 Time (hours) Fic. 5. Effects of temperature and heating time on a* (redness) red alder wood. (EU samples heated at 5 0 3 C from 8 to 24 h) (F ig . 5). The redness of samples heated at 7 0 ° C remained consistent irrespective o f heating time and fell , wi thin industry preferences. Heating times of 24 to 72 h seemed to produce the co lo r that industry prefers. Measurement o f the moisture content o f separate pith-to-bark samples heated at different temperatures, showed a decrease in their mois- ture content*over time. Decreases in moisture content were pronounced at the higher (70° and mi 9 0 ° C ) temperatures (Table 2). D I S C U S S I O N F r o m first principles, it can be assumed that the color o f thermally modif ied red alder wood results from the production and/or destruction of chromophoric groups, ft is we l l known that red alder wood changes from a cream to a red/ orange co lo r on exposure to air (S impson 1991). This co lor change occurs at ambient tempera- tures, and is probably caused by M a i l l a r d reac- tions between sugars and amino acids/proteins in wood ( K a p p et a l . 2003; M c D o n a l d et a l . 2000). The production of new chromophores as a result o f these reactions may explain our finding that wood close to the bark, where concentrations of sugars are l ike ly to be high, was much redder than wood close to the pith when wood samples were heated at 3 0 ° C . It is also wel l established that hemicel luloses are degraded by heat, caus- ing thermally modif ied wood to be darker than u n m o d i f i e d w o o d ( W h i t e and D i e t e n b e r g e r 2001). Thermal degradation o f wood may ex- plain why red alder w o o d heated at higher tem- peratures ( 7 0 ° or 9 0 ° C ) was darker than w o o d heated at 30° or 5 0 ° C , and the posit ive corre la- t ion between heat ing t ime and da rken ing o f w o o d . W o o d heated at 7 0 ° C , however , was darker than wood heated at 9 0 ° C , ' and w o o d close to the bark and heated at 3 0 ° C was as dark as w o o d heated at 5 0 ° C . The latter observation suggests that the red co lor (a*), wh ich was pro- nounced in the outer wood heated at 3 0 ° C , c o n - tributed to the darkness (decreased L * ) of ther- mal ly modif ied red alder wood . A c c o r d i n g l y , samples heated at 9 0 ° C were lighter than those heated at 70°C^poss ib ly because of their lower redness. Th i s suggestion is supported by results s h o w i n g that wood heated at 7 0 ° C was redder than wood heated at 9 0 ° C , and the association, between decreased redness and reduced darken- ing in wood samples heated at 7 0 ° and 9 0 ° C (compare Figs . 2 and 3). This negative correla- tion between redness o f samples and heating temperature could result from inhibi t ion o f the ( M a i l l a r d ) reactions that produce the orange/red co lor in red alder wood and/or the destruction o f the complexes responsible for the co lo r . W e consider the latter more l ike ly since samples subjected to prolonged (72 h) heating at 3 0 ° C were less red than samples heated for shorter periods o f time at the same temperature. Th i s suggests that the orange/red complexes pro- duced in red alder are thermolabile, and hence TABLE 2. Moisture content of pith to bark samples heated al different temperatures. Heacin5 time (hours) Temperature JC 0 8 24 36 43 72 20 98 5 96.1 94.4 92.1 88.1 83.1 30 102.3 99.8 97.9 95.4 92.4 88.4 50 126.8 119.2 103.5 96.3 84.7 69.3 70 105.7 84.2 60.8 50.7 31.1 15.1 90 95.0 61.7 16.2 6.7 1.8 1.2 71 8 W O O D A N D F I B E R S C I E N C E , J U L Y 2005, V . 37(3) are degraded by prolonged exposure to heat and higher temperatures. C lea r ly , the thermal modif icat ion o f co lo r in red alder involves a complex suite o f reactions. O u r findings suggest that the final co lo r o f the wood depends on the strength o f reactions that produce orange/red chromophoric groups in the wood, thermal darkening of the wood , and de- struction of orange/red chromophor ic groups. Thereforeyhe key to control l ing co lor in veneer cants dunng steaming may he in balancing these compet ing reactions through careful control o f heating temperatures and times, and w o o d mois- ture content. C o l o r control is compl ica ted by within-tree and, possibly, seasonal variation in the strength o f the reactions that generate the orange/red chromophores in wood and thermal and moisture gradients wi thin veneer cants dur- ing steaming. A more complete understanding o f these sources o f variation through research on the thermal m o d i f i c a t i o n o f larger samples wou ld assist efforts to obtain better co lor unifor- mity in veneer s l iced sequentially from heated veneer cants. Never the less , our f indings on small samples indicate that heating red alder wood at 7 0 ° C for 24 to 36 h can produce the preferred tan color for this species. H igher tem- peratures in the outer layers o f veneer cants may compensate for the tendency of outer wood to become redder by destroying red/orange chro- mophores and this may produce more un i formly colored veneer. Large thermal gradients from the outer to the inner wood, however, are l i ke ly to produce the pronounced differences in the color o f veneer sheets that industry currently ob- serves. A technology capable o f more evenly heating veneer cants, possibly i n v o l v i n g a c o m - bination of steaming and radio-frequency heat- ing, might reduce the extent o f such gradients and color variation in red alder veneer. Direct thermal modif icat ion o f veneer might achieve a s i m i l a r effect, a l though higher temperatures would be needed to accelerate co lo r changes. C O N C L U S I O N S 1. There is variation in the color o f red alder wood samples cut sequentially from the pith to the bark and subjected to heating under i so thermal cond i t ions , but dif ferences are pronounced on ly when w o o d is heated at 3 0 ° C . W o o d c lose to the bark tends to be redder than w o o d c lose to the p i th when heated at l ow temperatures, but such a differ- ence is absent in wood heated at h igher tem- peratures ( 5 0 ° - 9 0 ° C ) . 2. Hea t ing s m a l l pith-to-bark red alder w o o d samples at 7 0 ° C for 36 h produced w o o d that had an even tan co lor from pith to bark and fe l l w i th in the current industry c o l o r prefer- ences. 3. It is hypothesized that the co lor o f thermal ly m o d i f i e d red alder w o o d depends on the strength o f reactions that produce orange/red chromophores in the wood , thermal darken- ing o f the wood , and destruction o f orange/ red chromophores . The key to c o n t r o l l i n g co lo r i n veneer cants dur ing s teaming lies in balancing these compet ing reactions through careful cont ro l o f heating temperatures and times. 4. A better understanding of reactions that gen- erate the orange/red chromophores in red a l - der w o o d and the magnitude o f thermal gra- dients w i th in veneer cants dur ing steaming w o u l d assist efforts to obtain better co lo r un i - formity i n veneer s l iced sequential ly from heated veneer cants. A C K N O W L E D G M E N T S F u n d i n g for this work was made possible by N a t u r a l Sc i ences and E n g i n e e r i n g Resea r ch C o u n c i l o f Canada ( N S E R C ) . W e also thank the staff at M a l c o l m Knapp Research Forest in the Facul ty o f Forestry at U B C for a l l o w i n g us to fe l l and ut i l ize four red alder trees. R E F E R E N C E S A B E , Z . , K. O D A . AND 1. MATSUMURA. 1994. The color- change of sugi {Crypwmeria japonica) heartwood from reddish brown to black: I The color-change and its causes. Mokuzai Gakkaishi 40(10): 1119-1125. AMERICAN HARDWOOD EXPORT COUNCIL ( A H E C ) . 2003. Global demand for U . S . hardwood exports, [http:// 72 Thompson et at.—THERMAL MODIFICATION OF C O L O R O F RED A L D E R 9 www.westernhardwood.corn/ppt/snow-westernhdwds. ppt Internet. Accessed 28 March 2004.] BRAUNER, A . , AND E. M. CONWAY. 1964. Steaming walnut for color. Forest Prod. J. 14(11):525-528. CHARRIER. B . , F. CHARRIER, G . JANIN, D . P. KAMDEM, M . IRMOULI. AND J. GONCALEZ. 2002. Study of industrial boil- ing process on walnut color: Experimental study under industrial conditions. Holz Roh-Werkst. 60(4):259-264. HIBBS, D. E„ D. S. DEBELL. AND R. F. TARRANT. 1994. The biology and management of red alder. Oregon State Uni- versity Press. Corvallis, OR. 256 pp. HON. D. N. S., AND N. SHIRAISHI. 1991. Wood and cellulosic chemistry. Marcel Dekker. New York, NY. 1021 pp. KAPP, S.. G. C. SCHEEPERS, AND T. RYPSTRA. 2003. Factors influencing the development of yellow stain and kiln brown stain in South African grown Pinus spp. 1. Inst. Wood Sci. 16(2): 113-118. KAUFMANN. R. 2003. Personal Communications. General Manager, Snowcap Lumber Ltd^bbottsford, British Co- lumbia. 25 February 2003. * / \ KOLLMANN. F., R. KEYLWERTH, AND H. KUBLER. 1951. Ver- farbungen des vollholzes und der furniere bei der kiinst- lichen holztrocknung, Holz Roh-Werkst. 9(10):82-391. KOZLIK. C i. 1962 Seasoning red alderlumber Forest Re- search Lab., Oregon State University, Corvallis, OR. Re- port D-6. . 1967. Establishing color in red alder lumber. Forest Research Lab., Oregon State University, CorvaJlis, OR. Report D-8. . 1937. Presteaming to minimize mottling in par- tially air-dried red alder lumber. Forest Research Lab.. Oregon State University, Corvallis, OR. Research Note SO. . AND R. S. BOONE. 1987. High-temperature kiln- drying of 1 -inch red alder lumber. Forest Prod. /. 37(6): 21-24. LAWES AGRICULTURAL TRUST. 1994. Genstat - A General Sta- tistical Program 5 Release (3.1). Lawes Rothamstead Ex- perimental Station, UK. MCDONALD, A. G . , M . FERNANDEZ. B . KREBER, AND F. L A Y T - NER. 2000. The chemical nature of kiln brown stain in Radiata pine. Holzforschung 54(l):12-22. MILLETT, M . A. 1952. Chemical brown stain in sugar pine. Forest Prod. J. 2(5):232-236. MINOLTA. 1998. Precise Color Communication: Color con- trol from perception to instrumentation. User Manual: CM-2600d Spectrophotometer- Minolta Co.. Ltd. Japan. PARKER, M. L., J- H. G. SMITH, AND S. JOHNSON. 1978. An- nual-ring width and density patterns in red alder. Wood Fiber Sci. 10(2): 120-130. PHELPS, J. E., D. D. STOKKE, AND A . D. PUGEL. 1994. Color analysis of white oak, edge-glued furniture panel slock. Forest Prod. J. 44(2):35-38. RAETT(G, T . L., K. P. CONNAUGHTON. AND G. R. AHRENS. 1995. Hardwood supply in the Pacific Northwest: A policy prospective. USDA, Forest Serv., Pacific North- west Research Station. Resource Bulletin: PNW-RP-478. SIMPSON, W . T . 1991. Dry kiln operator's manual: Drying defects. Agriculture Handbook 188. USDA. Forest Serv.. Forest Prod. Lab., Madison, W(. 274 pp STENUDO, S. 2004. Color response ia silver birch during kiln-drying. Forest Prod. 1. 54(6):31 -36. SUNDQVIST, B. 2002. Color response of Scots pine (Pinus sylveslris), Norway spruce (Picea abies) and birch {Betula pubescens) subjected to heat treatment in capil- lary phase. Holz Roh-Werkst. 60(2): 106 - 114. THOMASSEN, T . 1986. Brown discolouration of sawn beech wood during kiln-drying. Teknologisk Institut, Tastrup, Denmark. 17 pp. WHITE, R. H., AND M . A. DIETENBERGER. 2001. Wood prod- ucts: Therrpai degradation and fire Encyclopaedia of ma- terials: Science and technology. Pp. 9712-9716. Y E O , H, AND W. B. SMITH. (2004). Control of interior dark- ening in hard maple. Wood Fiber Sci. 36(3):417 — 422. 73 Appendix 2 - Referee Comments Review of paper "Thermal Modification of Color in Red Alder Veneer. Effects of Temperature, Heating Time and Wood Type" There is relatively little information available on changes in the color of wood during steaming; and even less for red alder. The effect of thermal modification of color in veneer is worth publishing. I suggest that this paper be published with moderate revision. My comments and questions are numbered and refer to the same numbers shown in the margin of the manuscript. 1. It is difficult for this objective to be accomplished given that small blocks were used. This objective should be rephrased. 2. Include Thomassen in the reference section. 5̂) Include month of, tree sampling and initial moisture content of the samples before thermal treatments. The effect of the sampling period was not mentioned in the discussion. 4> How efficient was the scaling in avoiding drying of samples during treatment? 5. Initial moisture content needs to be included given that this parameter affects the optimal duration of steaming (see Kozlik 1987. cited in Literature review section). 6. There is some disagreement with this decision in respect with the objectives of the work. The authors were looking for uniformity of color and at the same time admit that variation in color exists between latewood and earlywood. What was the moisture content of samples after treatment? Did it differ among the different temperatures? This is related to item 4, it is completely ignored in the discussion. Optimal thermal treatments depend on the moisture content control. 8. No clear evidence is given to affirm that the optimal treatment obtained for small blocks can be extrapolated to treat veneer cants. This treatment needs to be validated on veneer cants before any recommendations are given. 9. No chemical evidence is given to affirm this conclusion. This conclusion must be written as a hypothesis (as in the abstract). I hope the above comments and suggestions will be useful to improve the paper. I enjoyed reading this well done manuscript The marked manuscript with minor corrections and suggested changes is enclosed. Thank you for giving me the opportunity to review this paper for Wood and Fiber Science. Appendix 3 - Statistical Analysis Data (Chapter 3) Effects of treatment temperature, treatment time and wood type on L* and a* colour parameters DTL.OUt_L Genstat Release 4 . 2 1 (PC/Windows XP) 15 September 2003 1 6 : 2 8 : 4 8 Copyright 2 0 0 1 , Lawes Agricultural Trust (Rothamsted Experimental Station) Genstat Fifth Edition (Service Pack 1 ) Genstat Procedure Library Release P L 1 2 . 1 1 %CD 'C:/Documents and Settings/phi1.evans/Desktop' 2 "Data taken from File: \ -3 C:/Documents and settings/phi1.evans/Desktop/Measurements.xls" 4 DELETE [Redefine=yes] _stitle_: TEXT _stitle_ 5 READ [print=*;SETNVALUES=yes] _stitle_ 9 PRINT [lPrint=*] _stitle_; Just=Left Data imported from Excel f i le: C:\Documents and Settings\phi1.evans\Desktop\Mea surements.xls on: 15-Sep-2003 1 6 : 2 9 : 1 0 taken from sheet "Sheetl", cells A l : 3 4 0 1 1 0 DELETE [redefine=yes] Tree,Section,Strip,Sample,Temp,Time,Ring.L,a,b 1 1 ' FACTOR [modify=yes;nvalues=400;levels=4] Tree 12 READ Tree; frepresentation=ordinal Identifier Values Missing Levels Tree 400 0 4 24 FACTOR [modify=yes;nvalues=400;levels=4] Section 25 READ Section; frepresentation=ordinal identifier values Missing Levels Section 400 0 4 37 FACTOR [modify=yes;nvalues=400;1evels=5] Strip 38 READ Strip; frepresentation=ordinal Identifier values Missing Levels Strip 4 0 0 0 5 50 FACTOR [modify=yes;nvalues=400;levels=5] Sample 51 READ sample; frepresentation=ordinal Identifier Values Missing Levels Sample 4 0 0 0 5 63 FACTOR [modify=yes;nvalues=400;levels=!(30,50,70,90)] Temp 64 READ Temp; frepresentation=ordinal identifier values Missing Levels Temp 400 0 4 76 FACTOR [modify=yes;nvalues=400;1evels=!(8,24,36,48,72)] Time 77 READ Time; frepresentation=ordinal identifier values Missing Levels Time 400 0 5 89 FACTOR [modify=yes;nvalues=400;levels=5] Ring Page 1 79 DTL . O U t _ L 90 READ R i n g ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i er R i n g v a l u e s 400 M i s s i n g 0 102 V A R I A T E [ n v a l u e s = 4 0 0 ] L 1 0 3 READ L I d e n t i f i e r L Mi m m u m 5 7 . 2 1 M e a n 6 9 . 1 5 136 V A R I A T E [nvalues=400] a 137 READ a I d e n t i f i e r a Mi mmum 1.890 Mean 10.34 167 V A R I A T E [nvalues=400] b 168 READ b I d e n t i f i e r b Minimum 16.18 M e a n 2 5 . 6 3 L e v e l s .5 Maximum 85.77 Maximum 18.18 Maximum 36.32 V a l u e s 400 v a l u e s 400 v a l u e s 4 0 0 M i s s i n g 0 Mi s s i n g 0 M i s s i n g 0 201 RESTRICT T r e e , S e c t i o n , S t r i p , S a m p l e , T e m p , T i m e , R i n g , L , a , b 202 203 " S p l i t - S p l i t - P l o t D e s i g n . " 204 BLOCK T r e e / S e c t i o n / s t n p / S a m p l e 205 TREATMENTS T e m p * T i m e * R i n g 206 C O V A R I A T E " N o C o v a r i a t e " 207 ANOVA [ P R l N T = a o v t a b l e , i n f o r m a t i o n , m e a n s ; FACT=32; F P R O B = y e s ; P S E = d i f f , 1 s d ; L S D L E V E L = 5 ] \ 208 L • 208. * * * * * A n a l y s i s o f v a r i a n c e * * * * * V a n " a t e : L S o u r c e o f v a r i a t i o n d . f . s . s . m. s . V r . F p r . T r e e s t r a t u m 3 79. 692 26 564 0 55 T r e e . S e c t i o n s t r a t u m Temp 3 5537. 886 1845 962 38 53 < 001 R e s i d u a l 9 431. 180 47 909 3 96 T r e e . s e c t i o n S t r i p s t r a t u m T i m e 4 2521. 320 630 330 52 13 < 001 T e m p . T i m e 12 266. 695 22 225 1 84 0 068 R e s i d u a l 48 580. 348 12 091 1 89 T r e e . S e c t i o n S t r i p . S a m p l e s t r a t u m R i ng 4 288. 642 72 161 11 27 < 001 T e m p . R i n g 12 411. 137 34 261 5 35 < 001 T i m e . R i n g 16 70. 579 4 411 0 69 0 804 T e m p . T i m e . R i n g 48 174. 241 3 630 0 57 0 990 R e s i d u a l 240 1537. 050 6 404 T o t a l 399 11898. 770 P a g e 2 8 0 DTL.OUt_L * MESSAGE: the following units have large residuals. Tree 2 Section 2 2 19 s.e. 1 04 Tree 1 Section 1 Strip 1 5 16 s e. 1.20 Tree 2 section 2 Strip 1 2 87 s e. 1.20 Tree 3 Section 1 Strip 1 3 04 s e. 1.20 Tree 1 Section 1 Strip 1 Sample 4 - 5 . 6 6 s e. 1 96 Tree 2 Section 1 Strip 3 Sample 1 - 6 . 3 3 s e. 1 96 Tree 2 Section 1 Strip 3 Sample 3 6 .78 s e. 1 96 Tree 3 Section 1 Strip 3 Sample 2 - 5 . 6 3 s e. 1 96 Tree 4 Section 1 Strip 1 Sample 1 - 6 . 3 6 s e. 1 96 Tree 4 Section 2 Strip 5 Sample 5 5 .80 s e. 1 96 ***** Tables of means ***** van"ate: L Grand mean 69 .15 Temp 30 .00 50 00 70 00 90 00 74 .02 71 28 64 50 66 80 Time 8 . 0 0 24 00 36 00 48 00 72 00 73 .90 69 47 67 79 67 39 67 18 Ri ng 1 2 3 4 5 69 .14 68 80 68 08 69 04 70 68 Temp Time 8 00 24 00 36 00 48 00 72 00 30 .00 78 60 73 78 71 71 71 65 74 35 50 .00 77 36 71 97 69 64 69 59 67 84 70 .00 68 80 65 06 63 82 63 07 61 75 9 0 . 0 0 70 86 67 09 66 00 65 25 64 79 Temp Ri ng 1 2 3 4 5 30 .00 75 23 75 72 73 23 72 30 73 59 50 .00 70 12 70 50 70 10 71 98 73 70 7 0 . 0 0 63 35 63 70 63 69 64 90 66 87 9 0 . 0 0 67 88 65 28 65 31 66 96 68 55 Time Ri ng 1 2 3 4 5 8 .00 73 68 74 49 72 90 73 53 74 92 2 4 . 0 0 69 67 69 53 67 44 69 59 71 15 36 .00 67 92 67 31 67 23 67 20 69 30 4 8 . 0 0 67 50 66 41 66 34 67 31 69 39 72 .00 66 93 66 27 66 52 67 55 68 64 Temp Time Ri ng 1 2 3 4 5 30 .00 8 .00 79 82 81 22 77 83 76 97 77 16 24 .00 75 59 77 54 70 30 71 14 74 32 36 .00 71 87 73 43 71 91 69 44 71 89 4 8 . 0 0 74 35 71 61 70 41 70 45 71 41 72 .00 74 53 74 81 75 71 73 52 73 17 50 .00 8 .00 75 09 76 81 76 19 78 99 79 72 24 .00 71 11 71 21 70 34 73 18 74 01 36 .00 68 60 68 74 68 85 70 23 71 78 4 8 . 0 0 68 86 68 69 68 38 69 90 72 13 7 2 . 0 0 66 93 67 07 66 75 67 59 70 86 70 .00 8 .00 68 67 69 01 67 83 67 95 70 52 Page 3 81 DTL.OUt_L 2 4 0 0 6 4 2 0 6 3 9 8 6 4 3 7 6 5 9 7 6 6 8 0 3 6 0 0 6 2 2 5 6 3 2 7 6 3 5 2 6 3 6 1 6 6 4 3 4 8 0 0 6 0 9 7 6 2 1 4 6 2 6 4 6 3 3 6 6 6 2 3 7 2 0 0 6 0 6 4 6 0 0 7 6 0 0 8 6 3 5 8 6 4 3 8 8 0 0 7 1 1 4 7 0 9 1 6 9 7 4 7 0 2 2 7 2 2 6 2 4 0 0 6 7 7 9 6 5 3 9 6 4 7 4 6 8 0 5 6 9 4 6 3 6 0 0 6 8 9 8 6 3 7 8 6 4 6 2 6 5 5 2 6 7 0 9 4 8 0 0 6 5 8 4 6 3 2 1 6 3 9 1 6 5 5 1 6 7 7 9 7 2 0 0 6 5 6 4 6 3 1 1 6 3 5 4 6 5 5 2 6 6 1 5 *** Standard errors of differences of means *** Table Temp Time Ring Temp Ti me rep. 1 0 0 8 0 8 0 2 0 s.e.d. 0 . 9 7 9 0 . 5 5 0 0 . 4 0 0 1 . 3 8 8 d.f. 9 4 8 2 4 0 3 0 . 5 1 Except when comparing means with the same level(s) of Temp 1 . 1 0 0 d.f. 4 8 Table Temp Time Temp Ring Ring Time Ring rep. 2 0 1 6 4 s.e.d. 1 . 2 1 3 0 . 9 7 1 2 . 1 1 8 d.f. 2 0 . 9 7 2 4 6 1 3 5 . 2 7 Except when comparing means with the same level(s) of Temp 0 . 8 0 0 1 . 9 4 2 d.f. 2 4 0 2 4 6 Time 0 . 8 9 5 d.f. 2 4 0 Temp.Time 1 . 7 8 9 d.f. 2 4 0 Temp.Ring 1 . 9 4 2 d.f. 2 4 6 *** Least significant differences of means (5% level) *** Table Temp Time Ring Temp Ti me rep. 1 0 0 8 0 8 0 2 0 1 . s . d . 2 . 2 1 4 1 . 1 0 5 0 . 7 8 8 2 . 8 3 2 d.f. 9 4 8 2 4 0 3 0 . 5 1 Except when comparing means with the same level(s) of Temp 2 . 2 1 1 d.f. 4 8 Table Temp Time Temp Ring Ring Time Ring rep. 2 0 1 6 4 l . s .d . 2 . 5 2 2 1 . 9 1 2 4 . 1 8 9 d.f. 2 0 . 9 7 2 4 6 1 3 5 . 2 7 Except when comparing means with the same level(s) of Temp 1 . 5 7 6 3 . 8 2 5 d.f. 2 4 0 2 4 6 Time 1 . 7 6 3 d.f. 2 4 0 Temp.Time 3 . 5 2 5 d.f. 2 4 0 Page 4 82 DTL.OUt_L T e m p . R i n g 3.825 d . f . 246 209 DAPLOT f i t t e d . n o r m a l . h a l f n o r m a l . h i s t o g r a m P a g e 5 DTLanewOutput_a_.out Genstat Release 4 . 2 1 (PC/Windows XP) 1 7 September 2 0 0 3 1 4 : 0 8 : 4 7 Copyright 2 0 0 1 , Lawes Agricultural Trust (Rothamsted Experimental Station) Genstat Fifth Edition (Service Pack 1 ) Genstat Procedure Library Release P L 1 2 . 1 1 %CD 'C:/Documents and Settings/phi1.evans/Desktop' 2 "Data taken from File: \ -3 C:/Documents and settings/phi1.evans/Desktop/Measurements.xls" 4 DELETE [Redefine=yes] _stitle_: TEXT _stitle_ 5 READ [print=*;SETNVALUES=yes] _stitle_ 9 PRINT [iprint=*] _stitle_; Just=Left Data imported from Excel f i le: C:\Documents and Settings\phi1.evans\Desktop\Mea surements.xls on: 17-Sep-2003 14:09:14 taken from sheet "Sheetl", cells A l :J401 10 DELETE [redefine=yes] Tree,Section,strip,sample,Temp,Time,Ring,L,a,b 11 FACTOR [modify=yes;nvalues=400;levels=4] Tree 12 READ Tree; frepresentation=ordinal identifier values Missing Levels Tree 400 0 4 24 FACTOR [modify=yes;nvalues=400;1evels=4] Section 25 READ Section; frepresentation=ordinal identifier values Missing Levels Section 400 0 4 37 FACTOR [modify=yes;nvalues=400;levels=5] Strip 38 READ Strip; frepresentation=ordinal identifier values Missing Levels Strip 400 0 5 50 FACTOR [modify=yes;nvalues=400;levels=5] Sample 51 READ Sample; frepresentation=ordinal identifier Values Missing Levels Sample 400 0 5 63 FACTOR [modify=yes;nvalues=400;1evels=!(30,50,70,90)] Temp 64 READ Temp; frepresentation=ordinal identifier values Missing Levels Temp 400 0 4 76 FACTOR [modify=yes;nvalues=400;levels=!(8,24,36,48,72)] Time 77 READ Time; frepresentation=ordinal identifier values Missing Levels Time 400 0 5 89 FACTOR [modify=yes;nvalues=400;levels=5] Ring Page 1 84 DTLanewOutput_a_.out 90 READ Ring; f representat ion=ordinal Identi f i er Ri ng Values 400 M i s s i n g 0 102 VARIATE [nvalues=400] L 103 READ L i d e n t i f i e r L Mi mmum 57.21 Mean 69.15 136 VARIATE [nvalues=400] a 137 READ a I den t i f i er a Minimum 1.890 Mean 10.34 167 VARIATE [nvalues=400] b 168 READ b Identi fi er b Mi mmum 16.18 Mean 25.63 Levels 5 Maximum 85 .77 Maximum 18.18 Maximum 36.32 values 400 values 400 values 400 Mi ssi ng 0 Mi ssi ng 0 Mi ssi ng 0 201 RESTRICT Tree,Section,Strip,Samp!e,Temp,Time,Ring,L,a,b 202 203 "Split-Split-Plot Design." 204 BLOCK Tree/Section/Strip/sample 205 TREATMENTS Temp*Time*Ring 206 COVARIATE "No covariate" 207 ANOVA [PRINT=aovtable,information,means; FACT=32; FPROB=yes; PSE=diff,lsd; LSDLEVEL= 5 ] \ 208 a 0 208. ***** Analysis of variance ***** Variate: a Source of variation d.f. s. s. m. s. v r. F pr. Tree stratum 3 104. 022 34 674 2 52 Tree.Section stratum Temp 3 572. 377 190 792 13 88 0 001 Resi dual 9 123. 751 13 750 2 35 Tree.Section strip stratum Time 4 250. 087 62 522 10 71 < 001 Temp.Time 12 291. 449 24 287 4 16 < 001 Residual 48 280. 335 5 840 1 90 Tree.Section Stri p.Sample stratum Ri ng 4 123. 525 30. 881 10 03 < 001 Temp.Ri ng 12 272. 800 22 733 7 39 < 001 Time.Ring 16 40 046 2 503 0 81 0 670 Temp.Time.Ring 48 79 280 1 652 0 54 0 994 Residual 240 738. 767 3 078 Total 399 2876 439 Page 2 85 DTLanewOutput_a_.out * MESSAGE: the following units have large residuals. Tree 2 Section 2 1 . 2 4 2 s.e. 0 . 5 5 6 Tree 1 Section 1 Strip 1 2 . 8 5 9 s e 0 . 8 3 7 Tree 2 Section 2 Strip 1 - 2 . 5 9 3 s e 0 . 8 3 7 Tree 3 Section 1 Strip 1 - 2 . 7 4 3 s e 0 . 8 3 7 Tree 3 Section 1 Strip 2 2 . 1 8 7 s e 0 . 8 3 7 Tree 4 Section 1 Strip 3 1 . 9 7 2 s e 0 . 8 3 7 Tree 1 Section 1 Strip 1 Sample 1 - 3 . 9 6 8 s . e. 1 3 5 9 Tree 1 Section 1 Strip 2 Sample 1 - 4 . 1 6 6 s . e. 1 3 5 9 Tree 1 Section 1 Stri p 4 Sample 1 - 4 . 5 7 2 s . e. 1 3 5 9 Tree 2 Section 1 Strip 3 Sample 1 4 . 8 7 7 s .e. 1 3 5 9 Tree 2 Section 1 Strip 3 Sample 3 - 5 . 2 6 0 s . e. 1 3 5 9 Tree 3 Section 1 Strip 3 Sample 2 5 . 4 8 7 s . e. 1 3 5 9 Tree 3 Section 1 Strip 3 Sample 5 - 4 . 6 4 0 s . e. 1 3 5 9 Tree 3 Section 1 Strip 4 Sample 4 - 4 . 4 9 1 s .e. 1 3 5 9 ***** Tables of means ***** variate: a Grand mean 1 0 . 3 4 5 Temp 3 0 . 0 0 5 0 . 0 0 7 0 . 0 0 1 2 . 1 0 7 1 0 . 4 8 9 1 0 . 0 1 4 Time 8 . 0 0 2 4 . 0 0 3 6 . 0 0 8 . 8 7 1 1 0 . 8 4 6 1 0 . 9 9 5 Ring 1 2 3 9 . 3 8 4 1 0 . 1 2 9 1 0 . 9 1 7 Temp Time 8 . 0 0 2 4 . 0 0 3 0 . 0 0 8 . 4 2 7 1 3 . 0 2 5 5 0 . 0 0 8 . 5 0 4 1 1 . 1 7 0 7 0 . 0 0 1 0 . 3 9 3 1 0 . 2 5 2 9 0 . 0 0 8 . 1 5 9 8 . 9 3 7 Temp Ring 1 2 3 0 . 0 0 9 . 3 5 5 1 0 . 5 1 1 5 0 . 0 0 1 0 . 0 4 4 1 0 . 7 3 7 7 0 . 0 0 9 . 5 6 1 9 . 8 9 9 9 0 . 0 0 8 . 5 7 4 9 . 3 6 9 Time Ring 1 2 8 . 0 0 7 . 8 8 9 8 . 1 4 1 2 4 . 0 0 9 . 8 0 4 1 0 . 2 5 3 3 6 . 0 0 1 0 . 1 9 2 1 0 . 9 7 2 4 8 . 0 0 9 . 6 2 8 1 1 . 0 2 8 7 2 . 0 0 9 . 4 0 4 1 0 . 2 5 3 Temp Time Ring 1 3 0 . 0 0 8 . 0 0 5 . 2 9 2 2 4 . 0 0 9 . 8 9 5 3 6 . 0 0 1 2 . 2 8 0 4 8 . 0 0 9 . 9 9 2 7 2 . 0 0 9 . 3 1 7 5 0 . 0 0 R 8 . 0 0 8 . 7 4 7 2 4 . 0 0 1 0 . 7 4 5 9 0 . 0 0 8 . 7 6 8 4 8 . 0 0 7 2 . 0 0 1 0 . 8 4 3 1 0 . 1 7 0 4 5 1 0 . 8 2 5 1 0 . 4 6 9 3 6 . 0 0 4 8 . 0 0 7 2 . 0 0 1 4 . 0 7 7 1 3 6 4 8 1 1 . 3 5 9 1 0 . 9 6 1 1 0 . 9 9 4 1 0 . 8 1 9 1 0 . 0 2 1 9 . 8 1 7 9 5 9 1 8 . 9 2 0 8 . 9 1 3 8 . 9 1 0 3 4 5 1 2 . 9 3 5 1 3 . 9 2 3 1 3 8 1 1 1 1 . 3 1 0 1 0 4 9 3 9 8 6 3 1 0 . 1 7 0 1 0 3 6 5 1 0 0 7 8 9 . 2 5 3 8 . 5 1 7 8 1 2 4 3 4 5 9 . 7 0 6 9 4 6 4 9 1 5 2 1 2 . 0 9 8 1 1 4 0 7 1 0 6 6 8 1 1 . 3 3 9 1 1 6 0 6 1 0 8 6 4 1 1 . 4 9 8 1 1 1 1 0 1 0 9 5 2 9 . 9 4 5 1 0 5 3 6 1 0 7 1 1 2 3 4 5 5 . 6 8 2 9 5 6 0 1 0 9 5 2 1 0 6 4 7 1 0 . 0 4 7 1 5 5 7 0 1 5 7 5 7 1 3 8 5 5 1 2 . 5 8 0 1 4 6 5 7 1 5 7 1 2 1 5 1 5 7 1 3 . 3 3 7 1 5 1 5 2 1 4 4 2 0 1 5 3 4 0 1 0 . 9 1 0 9 7 3 7 1 2 7 7 5 1 4 0 5 7 8 . 3 7 0 9 8 1 5 7 7 2 7 7 8 5 8 1 1 . 2 0 0 1 2 4 0 0 1 1 0 3 2 1 0 4 7 5 Page 3 86 DTLanewOutput_a_.out 36 .00 10.257 11. 898 11. 470 11.452 9 725 4 8 . 0 0 9 .990 11 250 11 . 895 11.012 10 820 72 .00 10.477 10 968 10. 970 11 .243 10 435 70 00 8 .00 9 .723 10 092 10. 683 10 .833 10 633 24 .00 9 .530 10 198 10. 545 10 .622 10 363 36 .00 9 .827 9 778 9. 883 10 .417 10 198 4 8 . 0 0 9 .598 9 863 9. 860 10 .288 9 477 72 .00 9.125 9 565 9. 880 9 .663 9 720 90 00 8 .00 7.795 8 420 8. 765 8 .345 7 470 24 .00 9 .047 9 567 9. 878 8 .215 7 977 36 .00 8 .405 9 632 9. 347 8 .842 8 375 4 8 . 0 0 8 .930 9 660 9. 085 8 .720 8 170 7 2 . 0 0 8.695 9 567 9 192 8 .465 8 630 *** Standard errors o f differences o f means *** Table Temp Time Ring Temp Time rep. 100 80 80 20 s.e.d. 0.5244 0 .3821 0 .2774 0 .8615 d . f . 9 48 240 42 .54 Except when comparing means with the same 1evel(s) o f Temp 0.7642 d . f . 48 Table Temp Time Temp Ring Ring Time Ring rep. 20 16 4 s.e.d. 0 .7220 0 .6737 1.4048 d.f. 31 .39 245 .50 202.14 Except when comparing means with the same level(s) o f Temp 0.5548 1.3473 d . f . 240 245 .50 Time 0.6203 d . f . 240 Temp.Ti me 1.2406 d . f . 240 Temp.Ring 1.3473 d . f . 245 .50 *** Least si gnificant differences o f means (5% level) *** Table Temp Time Ri ng Temp Time rep. 100 80 80 20 1 . s .d . 1.1863 0.7683 0.5465 1.7380 d.f. 9 48 240 42 .54 Except when comparing means with the same level(s) o f 1 .5366 Temp d . f . 48 Table Temp Time Temp Ri ng Ri ng Time Ring rep. 20 16 4 1 .s .d . 1.4717 1.3269 2 .7700 d.f. 31 .39 245 .50 202.14 Except when comparing means with the same level(s) o f Temp 1.0929 2.6538 d . f . 240 245 .50 Page 4 87 DTLanewOutput_a_.out Time 1.2219 d.f. 240 Temp.Time 2.4439 d.f. 240 Temp.Ring 2.6538 d.f. 245.50 209 DAPLOT fi tted,normal,halfnormal,hi stogram Page 5 Appendix 4 - Statistical Analysis Data (Chapter 4) Effects of season, storage and wood type on L* and a* colour parameters G e n S t a t R e l e a s e 4 . 2 1 ( P C / W i n d o w s XP) 17 J u n e 2004 0 6 : 4 7 : 0 2 C o p y r i g h t 2 0 0 1 , Lawes A g r i c u l t u r a l T r u s t ( R o t h a m s t e d E x p e r i m e n t a l S t a t i o n ) G e n S t a t F i f t h E d i t i o n ( S e r v i c e P a c k 1) G e n S t a t P r o c e d u r e L i b r a r y R e l e a s e P L 1 2 . 1 1 %CD ' C : / D o c u m e n t s a n d S e t t i n g s / p h i l . e v a n s / D e s k t o p ' 2 " D a t a t a k e n f r o m F i l e : C : / D o c u m e n t s a n d S e t t i n g s / p h e v a n s / D e s k t o p / s e a s o n s . x l s \ - 3 " 4 D E L E T E [ R e d e f i n e = y e s ] _ s t i t l e _ : T E X T _ s t i t l e _ 5 READ [ p r i n t = * ; S E T N V A L U E S = y e s ] _ s t i t l e _ 9 PRINT [ I P r i n t = * ] _ s t i t l e _ ; J u s t = L e f t D a t a i m p o r t e d f r o m E x c e l f i l e : C : \ D o c u m e n t s a n d S e t t i n g s \ p h e v a n s \ D e s k t o p \ s e a s o n s . x l s o n : 1 7 - J u n - 2 0 0 4 6 : 4 7 : 2 9 t a k e n f r o m s h e e t " D a t a " , c e l l s A 1 : K 1 9 3 10 D E L E T E [ r e d e f i n e = y e s ] B l o c k , T r e e , P o s i t , T y p e , S e a s o n , S t o r a g e , H e i g h t , S W H W , L , a , b 11 FACTOR [ m o d i f y = y e s ; n v a l u e s = l 9 2 , - l e v e l s = 2 ] B l o c k 12 READ B l o c k ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g . L e v e l s B l o c k 192 0 2 19 FACTOR [ m o d i f y = y e s ; n v a l u e s = l 9 2 , - l e v e l s = 4 ] T r e e 20 READ T r e e ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g L e v e l s T r e e 192 0 4 27 FACTOR [ m o d i f y = y e s ; n v a l u e s = l 9 2 ; l e v e l s = 4 ] P o s i t 28 READ P o s i t ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g L e v e l s P o s i t 192 0 4 35 FACTOR [ m o d i f y = y e s ; n v a l u e s = l 9 2 ; l e v e l s = 2 ] T y p e 36 READ T y p e ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g L e v e l s T y p e 192 0 2 4 3 FACTOR [ m o d i f y = y e s ; n v a l u e s = l 9 2 ; l e v e l s = 3 ; l a b e l s = ! t ( ' F e b ' , ' M a y ' , ' N o v ' ) ] S e a s o n 44 READ S e a s o n ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g L e v e l s S e a s o n 192 0 3 51 FACTOR [ m o d i f y = y e s ; n v a l u e s = 1 9 2 ; l e v e l s = 4 ; l a b e l s = ! t ( ' 0 w e e k s ' , ' 1 w e e k ' , \ 52 '2 w e e k s ' , ' 4 w e e k s ' ) ] S t o r a g e 53 READ S t o r a g e ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g L e v e l s S t o r a g e 192 0 4 90 60 FACTOR [ m o d i f y = y e s ; n v a l u e s = 1 9 2 ; l e v e l s = ! ( 4 5 , 1 3 1 , 2 1 7 , 3 0 3 ) ] H e i g h t 61 READ H e i g h t ; f r e p r e s e n t a t i o n = o r d i n a l I d e n t i f i e r V a l u e s M i s s i n g L e v e l s H e i g h t 192 0 4 68 FACTOR [ m o d i f y = y e s ; n v a l u e s = l 9 2 ; l e v e l s = 2 ; l a b e l s = ! t ( ' H W 1 , ' SW' ) 69 READ SWHW; f r e p r e s e n t a t i o n = o r d i n a l SWHW I d e n t i f i e r SWHW V a l u e s M i s s i n g 192 0 L e v e l s 2 76 V A R I A T E [ n v a l u e s = l 9 2 ; 77 READ L I d e n t i f i e r L M i n i m u m 5 6 . 91 Mean 64 . 82 Maximum 7 2 . 7 8 V a l u e s 192 M i s s i n g 0 93 V A R I A T E [ n v a l u e s = l 9 2 ] a 94 READ a I d e n t i f i e r a M i n i m u m 6 . 2 1 0 Mean 9 .272 Maximum 1 1 . 8 0 V a l u e s 192 M i s s i n g 0 108 V A R I A T E [ n v a l u e s = l 9 2 ] b 109 READ b I d e n t i f i e r b M i n i m u m 1 9 . 0 0 Mean 24 . 96 Maximum 32 . 80 V a l u e s 192 M i s s i n g 0 125 R E S T R I C T B l o c k , T r e e , P o s i t , T y p e , S e a s o n , S t o r a g e , H e i g h t , S W H W , L , a , b 126 127 " S p l i t - S p l i t - P l o t D e s i g n . " 128 BLOCK B l o c k / T r e e / P o s i t / T y p e 129 TREATMENTS S e a s o n * S t o r a g e * H e i g h t * S W H W 130 C O V A R I A T E "No C o v a r i a t e " 131 ANOVA [ P R I N T = a o v t a b l e , i n f o r m a t i o n , m e a n s ; F A C T = 3 2 ; F P R O B = y e s ; P S E = d i f f , l s d L S D L E V E L = 5 ] \ 132 L 91 132 * * * * * A n a l y s i s o f v a r i a n c e * * * * * V a r i a t e : L S o u r c e o f v a r i a t i o n d . f . s . s . m. s . V . r . F p r . B l o c k s t r a t u m 1 1 9 . 9 5 8 19 958 2 . 99 B l o c k . T r e e s t r a t u m S t o r a g e 3 8 6 . 7 8 0 28 927 4 . 33 0 130 R e s i d u a l 3 2 0 . 0 2 5 6 675 3 . 60 B l o c k . T r e e . P o s i t s t r a t u m H e i g h t 3 8 .102 • 2 701 1 . 46 0 276 S t o r a g e . H e i g h t 9 3 7 . 8 8 5 4 209 2 .27 0 093 R e s i d u a l 12 2 2 . 2 7 2 1 856 0 . 30 B l o c k . T r e e . P o s i t . T y p e s t r a t u m SWHW 1 1 0 5 0 . 5 5 2 1050 552 168 .54 < 001 S t o r a g e . S W H W 3 3 . 2 0 2 1 067 0 .17 0 914 H e i g h t . S W H W 3 2 . 931 0 977 0 . 16 0 924 S t o r a g e . H e i g h t . S W H W 9 2 3 . 2 0 4 2 578 0 .41 0 909 R e s i d u a l 16 9 9 . 7 3 1 6 233 1 .12 B l o c k . T r e e . P o s i t . T y p e . * U n i t s * s t r a t u m S e a s o n 2 3 1 . 6 4 5 15 823 2 .85 0 065 S e a s o n . S t o r a g e 6 1 3 0 . 8 2 1 21 804 3 . 93 0 002 S e a s o n . H e i g h t 6 9 .974 1 662 0 . 30 0 935 Season.SWHW 2 2 6 . 6 8 0 13 340 2 . 40 0 099 S e a s o n . S t o r a g e . H e i g h t 18 8 5 . 7 2 6 4 763 0 . 86 0 628 S e a s o n . S t o r a g e . S W H W 6 3 7 . 0 4 1 6 174 1 .11 0 365 S e a s o n . H e i g h t . S W H W 6 1 7 . 8 4 4 2 974 0 .54 0 779 S e a s o n . S t o r a g e . H e i g h t . SWHW 18 5 7 . 1 3 4 3 174 0 .57 0 907 R e s i d u a l 64 3 5 5 . 2 3 9 5 551 T o t a l 191 2 1 2 6 . 7 4 9 * M E S S A G E : t h e f o l l o w i n g u n i t s h a v e l a r g e r e s i d u a l s • B l o c k 1 T r e e 2 P o s i t 3 0 . 78 s . e . 0 .34 B l o c k 2 T r e e 2 P o s i t 3 -0 .78 s . e . 0 .34 B l o c k 1 T r e e 1 ' P o s i t 1 Type. 1 1. 47 s e . B l o c k 1 T r e e 1 P o s i t 1 T y p e 2 - 1 . 47 s e . B l o c k 2 T r e e 1 P o s i t 1 T y p e 1 - 1 . 47 s e . B l o c k 2 T r e e 1 P o s i t 1 T y p e 2 1. 47 s e . * * * * * T a b l e s o f means * * * * * V a r i a t e : L G r a n d mean 6 4 . 8 2 S e a s o n F e b May Nov r 64 .52 6 4 . 5 4 6 5 . 3 9 S t o r a g e 0 weeks 1 week 2 weeks 4 weeks 6 5 . 6 7 6 5 . 2 7 6 4 . 2 7 64 .07 92 H e i g h t 4 5 . 0 0 1 3 1 . 0 0 6 4 . 6 9 6 4 . 7 2 SWHW HW SW 6 2 . 4 8 6 7 . 1 6 S e a s o n S t o r a g e 0 weeks Feb 6 5 . 4 2 May 6 6 . 2 0 Nov 6 5 . 4 0 S e a s o n H e i g h t 4 5 . 0 0 F e b 6 4 . 1 7 May 6 4 . 7 5 Nov 6 5 . 1 6 S t o r a g e H e i g h t 4 5 . 0 0 0 weeks 6 5 . 3 3 1 week 6 5 . 2 5 2 weeks 6 5 . 1 6 4 weeks 6 3 . 0 4 S e a s o n SWHW HW F e b 6 2 . 0 9 May 6 2 . 7 0 Nov 6 2 . 6 5 S t o r a g e SWHW HW 0 weeks 6 3 . 1 2 1 week 6 3 . 0 2 2 weeks 6 1 . 9 5 4 weeks 6 1 . 8 4 H e i g h t SWHW HW 4 5 . 0 0 6 2 . 5 2 1 3 1 . 0 0 6 2 . 4 3 2 1 7 . 0 0 6 2 . 1 8 3 0 3 . 0 0 6 2 . 7 9 S e a s o n S t o r a g e H e i g h t Feb 0 weeks 1 week 2 weeks 4 weeks May 0 weeks 1 week 2 weeks 4 weeks Nov 0 weeks 1 week 2 weeks 4 weeks S e a s o n S t o r a g e SWHW F e b 0 weeks 1 week 2 weeks 4 weeks May 0 weeks 1 week 2 weeks 4 weeks Nov 0 weeks 1 week 2 weeks 2 1 7 . 0 0 3 0 3 . 0 0 6 4 . 6 9 6 5 . 1 8 1 week 2 weeks 4 weeks 6 4 . 2 2 6 5 . 0 8 6 3 . 3 6 6 5 . 3 4 6 2 . 1 4 6 4 . 5 0 6 6 . 2 5 6 5 . 5 8 6 4 . 3 4 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 6 4 . 7 6 6 4 . 3 1 6 4 . 8 5 6 4 . 4 7 6 4 . 1 8 6 4 . 7 8 6 4 . 9 3 6 5 . 5 8 6 5 . 9 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 6 5 . 6 0 6 5 . 6 4 6 6 . 1 2 6 5 . 5 4 6 5 . 0 0 6 5 . 3 0 6 3 . 4 9 6 4 . 1 2 6 4 . 2 9 6 4 . 2 4 6 4 . 0 0 6 4 . 9 9 SW 66 . 96 6 6 . 3 9 6 8 . 1 4 SW 6 8 . 2 3 6 7 . 5 2 6 6 . 5 9 6 6 . 3 0 SW 6 6 . 8 7 6 7 . 0 0 • 6 7 . 2 0 6 7 . 5 6 45 00 131 00 217 00 303 00 65 18 65 34 65 37 65 80 64 85 . 64 75 63 49 63 82 65 79 64 63 64 98 64 91 60 86 64 32 63 40 64 86 67 22 65 43 66 06 66 09 64 17 66 16 65 55 65 46 64 06 62 12 60 57 61 81 63 54 64 16 64 56 65 73 63 59 66 02 65 50 66 47 66 72 65 72 65 97 66 61 65 62 63 73 66 82 66 15 64 72 64 23 64 03 64 39 HW SW 62 60 68 24 61 82 66 63 62 58 67 58 61 35 65 37 64 15 68 25 63 07 67 61 60 14 64 14 63 44 65 55 62 60 68 20 64 17 68 33 63 12 68 04 S e a s o n F e b May Nov S t o r a g e 0 weeks 1 week 2 weeks 4 weeks 4 weeks H e i g h t 45 . 00 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 H e i g h t 45 . 00 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 217 . 00' 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 SWHW SWHW 60 71 67 97 HW SW 62 32 66 02 62 17 67 35 61 48 67 14 62 38 67 32 63 23 66 27 62 99 65 95 61 91 66 46 62 68 66 87 62 01 68 32 62 14 67 72 63 16 68 00 63 30 68 51 HW SW 63 27 67 39 62 64 68 56 62 90 68 39 63 66 68 58 62 77 67 72 63 59 67 50 62 18 67 83 63 54 67 05 62 86 67 46 61 26 65 73 61 64 66 60 62 03 66 55 61 18 64 91 62 24 66 23 62 02 65 98 61 91 68 07 S e a s o n F e b S t o r a g e 0 weeks 1 week 2 weeks 4 weeks May 0 weeks 1 week 2 weeks 4 weeks H e i g h t 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 45 . 00 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 SWHW HW SW 63 14 67 22 61 95 68 74 61 54 „ 69 21 63 80 67 81 63 01 66 68 62 47 67 03 60 27 66 71 61 54 66 10 64 00 67 •59 60 89 68 38 62 19 67 77 63 23 66 59 59 13 62 59 63 39 65 25 61 92 64 88 60 96 68 76 66 47 67 98 63 16 67 70 63 39 68 71 63 59 68 60 61 77 66 57 65 03 67 30 61 74 69 37 63 75 67 18 61 56 66 58 61 07 63 17 58 44 62 70 59 50 64 13 63 12 63 97 62 69 65 63 64 06 65 05 Nov 0 weeks' 1 week 2 weeks 4 weeks 303 00 63 90 67 56 45 00 60 21 66 98 131 00 62 81 69 24 217 00 63 76 67 25 303 00 63 60 69 33 45 00 63 54 69 90 131 00 63 28 68 17 217 00 64 54 67 40 303 00 65 34 67 87 45 00 63 03 68 22 131 00 61 81 65 64 217 00 64 28 • 69 35 303 00 63 38 68 93 45 00 61 28 68 17 131 00 60 64 67 82 217 00 60 06 68 01 303 00 60 88 67 90 * * * S t a n d a r d e r r o r s o f d i f f e r e n c e s o f means * * * T a b l e S e a s o n S t o r a g e H e i g h t SWHW r e p . 64 48 48 96 d . f . 64 3 12 16 s . e . d . 0 . 4 1 6 0 . 5 2 7 0 . 2 7 8 0 . 3 6 0 T a b l e S e a s o n S e a s o n S t o r a g e S e a s o n S t o r a g e . H e i g h t H e i g h t SWHW r e p . 16 16 12 32 s . e . d . 0 . 8 6 1 0 . 7 3 5 0 .714 0 . 601 d . f . 1 8 . 8 3 7 5 . 88 8 . 6 0 6 9 . 0 1 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0 .833 , 0 . 5 5 6 d . f . 64 12 H e i g h t 0. 833 d . f . 64 SWHW 0 . 5 8 9 d . f . 64 T a b l e S t o r a g e H e i g h t S e a s o n S e a s o n SWHW SWHW S t o r a g e S t o r a g e H e i g h t SWHW r e p . 24 24 4 8 s . e . d . 0 . 7 3 3 . 0 . 5 8 1 1. 536 1 . 2 1 0 d . f . '9 .64 24 .10 6 6 . 5 1 4 9 . 3 4 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l (s) o f S t o r a g e 0 . 7 2 1 1 .470 1 .202 d . f . 16 7 5 . 8 8 6 9 . 0 1 H e i g h t 0 . 7 2 1 d . f . 16 S e a s o n . S t o r a g e 1 . 4 7 0 1 .202 d . f . 7 5 . 8 8 6 9 . 0 1 S t o r a g e . H e i g h t 1 . 6 6 6 d . f . 64 S t o r a g e . SWHW 1 .178 d . f . 64 T a b l e S e a s o n S t o r a g e S e a s o n H e i g h t H e i g h t S t o r a g e SWHW SWHW H e i g h t SWHW r e p . 8 6 2 s . e . d . 1 . 1 2 3 1 . 2 4 5 2 . 2 9 1 d . f . 8 8 . 0 8 24 . 55 8 8 . 4 1 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l (s) •of S t o r a g e 1 .161 2 . 2 4 7 d . f . 2 4 . 1 0 8 8 . 0 8 H e i g h t 1 .202 d . f . 6 9 . 0 1 S e a s o n . S t o r a g e 2 . 2 4 7 d . f . 8 8 . 0 8 S e a s o n . H e i g h t 1 .202 d . f . 6 9 . 0 1 S t o r a g e . H e i g h t 1 .441 2 . 4 0 4 d . f . 16 6 9 . 0 1 S t o r a g e . S W H W 1 .161 2 . 2 4 7 d . f . 24 . 10 ' 8 8 . 0 8 H e i g h t . S W H W 1 .178 d . f . 64 S e a s o n . S t o r a g e H e i g h t 2 .404 d . f . 69 . 01 S e a s o n . S t o r a g e SWHW 2 . 2 4 7 d . f . 8 8 . 0 8 S t o r a g e . H e i g h t SWHW 2 . 3 5 6 d . f . 64 * * * L e a s t s i g n i f i c a n t d i f f e r e n c e s o f means (5% l e v e l ) * * * T a b l e S e a s o n S t o r a g e H e i g h t SWHW r e p . 64 48 .48 96 d . f . 64 3 12 16 l . s . d . 0 . 832 1 .678 0. 606 0 . 7 6 4 T a b l e S e a s o n S e a s o n S t o r a g e S e a s o n S t o r a g e H e i g h t H e i g h t SWHW r e p . 16 16 ' 12 32 l . s . d . 1 .802 1 .463 1 .627 1 . 1 9 9 d . f . 18 . 83 7 5 . 8 8 8 . 60 6 9 . 0 1 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 1. 664 1 .212 d . f . 64 12 H e i g h t 1 .664 d . f . 64 SWHW 1. 177 d . f . 64 T a b l e S t o r a g e H e i g h t S e a s o n S e a s o n SWHW SWHW S t o r a g e S t o r a g e H e i g h t SWHW r e p . 24 24 4 8 l . s . d . 1 .642 1 .198 3 . 0 6 7 2 . 4 3 0 d . f . 9 . 64 24 . 10 6 6 . 5 1 4 9 . 3 4 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 1 .528 2 . 927 2 . 3 9 8 d . f . 16 7 5 . 8 8 6 9 . 0 1 H e i g h t 1 .528 d . f . 16 S e a s o n . S t o r a g e 2 . 9 2 7 2 . 3 9 8 d . f . 7 5 . 8 8 6 9 . 0 1 S t o r a g e . H e i g h t 3 . 3 2 8 d . f . 64 S t o r a g e . S W H W 2 . 3 5 3 d . f . 64 T a b l e S e a s o n S t o r a g e S e a s o n . H e i g h t H e i g h t S t o r a g e SWHW SWHW H e i g h t SWHW r e p . 8 6 2 l . s . d . 2 . 2 3 3 2 . 5 6 6 4 .553 d . f . 8 8 . 0 8 2 4 . 5 5 8 8 . 4 1 96 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 2 . 3 9 6 4 . 465 d . f . 24 . 10 8 8 . 0 8 H e i g h t 2 . 3 9 8 d . f . 69 . 01 S e a s o n . S t o r a g e 4 . 465 d . f . 8 8 . 0 8 S e a s o n . H e i g h t 2 . 3 9 8 d . f . 6 9 . 0 1 S t o r a g e . H e i g h t 3 . 0 5 6 4 . 795 d . f . 16 6 9 . 0 1 S t o r a g e . S W H W 2 . 3 9 6 4 . 465 d . f . 2 4 . 1 0 8 8 . 0 8 H e i g h t . S W H W 2 . 3 5 3 d . f . 64 S e a s o n . S t o r a g e H e i g h t 4 . 795 d . f . 6 9 . 0 1 S e a s o n . S t o r a g e SWHW 4 . 465 d . f . 88 . 08 S t o r a g e . H e i g h t SWHW 4 .707 d . f . 64 133 DAPLOT f i t t e d , n o r m a l , h a l f n o r m a l , h i s t o g r a m 134 " S p l i t - S p l i t - P l o t D e s i g n . " 135 BLOCK B l o c k / T r e e / P o s i t / T y p e 136 TREATMENTS S e a s o n * S t o r a g e * H e i g h t * S W H W 137 C O V A R I A T E "No C o v a r i a t e " 138 ANOVA [ P R I N T = a o v t a b l e , i n f o r m a t i o n , m e a n s ; F A C T = 3 2 ; F P R 0 B = y e s ; P S E = d i f f , I s d ; L S D L E V E L = 5 ] \ 139 a 97 139 * * * A n a l y s i s o f v a r i a n c e * * * * * V a r i a t e : a S o u r c e o f v a r i a t i o n d . f . s . s . m. s . V r . F p r . B l o c k s t r a t u m 1 0 1271 0 1271 0 23 B l o c k . T r e e s t r a t u m S t o r a g e 3 14 4076 4 8025 8 80 0 054 R e s i d u a l 3 1 6379 0 5460 2 69 B l o c k . T r e e . P o s i t s t r a t u m H e i g h t 3 3 4281 1 1427 5 63 0 012 S t o r a g e . H e i g h t 9 1 3307 0 1479 0 73 0 678 R e s i d u a l 12 2 4378 0 2031 0 29 B l o c k . T r e e . P o s i t . T y p e s t r a t u m SWHW 1 9 2138 9 2138 13 37 0 002 S t o r a g e . S W H W 3 0 7013 0 2338 0 34 0 797 H e i g h t . S W H W 3 0 4147 0 1382 0 20 0 894 S t o r a g e . H e i g h t . S W H W 9 6 1043 0 6783 0 98 0 488 R e s i d u a l 16 11 0260 0 6891 0 87 B l o c k . T r e e . P o s i t . T y p e * U n i t s * s t r a t u m S e a s o n 2 1 0658 0 5329 0 67 0 514 S e a s o n . S t o r a g e 6 28 4891 4 7482 5 99 < 001 S e a s o n . H e i g h t 6 0 5976 0 0996 0 13 0 993 Season.SWHW 2 2 5508 1 2754 1 61 0 208 S e a s o n . S t o r a g e . H e i g h t 18 9 3136 0 5174 0 65 0 843 S e a s o n . S t o r a g e . S W H W 6 2 0410 0 3402 0 43 0 857 S e a s o n . H e i g h t . S W H W 6 1 1131 0 1855 0 23 0 964 S e a s o n . S t o r a g e . H e i g h t SWHW 18 8 7358 0 4853 0 61 0 877 R e s i d u a l 64 50 7479 0 7929 T o t a l 191 155 4840 * * * * * T a b l e s o f means * * * * * V a r i a t e : a G r a n d mean 9 . 2 7 2 S e a s o n S t o r a g e H e i g h t F e b 9 .324 0 weeks 9 . 0 6 0 4 5 . 0 0 9 .452 May 9 . 1 6 6 Nov 9 . 3 2 5 1 week 2 weeks 9 . 0 0 5 9 .698 1 3 1 . 0 0 9 .242 2 1 7 . 0 0 9 . 3 1 3 4 weeks 9 .324 3 0 3 . 0 0 9 . 0 8 1 SWHW S e a s o n F e b May Nov HW 9 . 4 9 1 S t o r a g e SW 9 . 0 5 3 0 weeks 9 . 6 1 6 8 .314 9 . 2 4 9 1 week 9 . 3 5 0 8 . 8 5 1 8 . 8 1 5 2 weeks 9 . 0 0 6 1 0 . 1 9 9 9 . 8 8 8 4 weeks 9 . 3 2 3 9 . 3 0 2 9 . 3 4 8 9 8 S e a s o n H e i g h t 4 5 . 0 0 F e b 9 . 5 6 2 May 9 . 2 7 3 Nov 9 . 5 2 0 S t o r a g e H e i g h t 4 5 . 0 0 0 weeks 9 . 1 7 9 1 week 9 . 1 6 9 2 weeks 9 . 7 4 0 4 weeks 9 . 7 1 8 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 9 . 2 3 9 9 . 3 5 9 9 . 1 3 6 9 . 1 0 9 9 .304 8 . 9 7 9 9 .378 9 . 2 7 5 9 . 1 2 8 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 9 . 0 7 5 9 . 1 6 6 8 .818 8 . 9 1 6 9 .074 8 . 8 6 3 9 . 7 0 9 9 .767 9 . 5 7 5 9 .267 9 . 2 4 5 9 . 0 6 8 S e a s o n SWHW HW SW Feb 9 . 5 8 3 9 . 0 6 5 May 9 . 2 2 9 9 .104 Nov 9 . 6 6 1 8 . 9 8 9 S t o r a g e SWHW HW SW 0 weeks 9 .174 8 . 9 4 5 1 week 9 . 2 6 5 8 . 7 4 5 2 weeks 9 . 9 4 9 9 . 4 4 6 4 weeks 9 . 5 7 5 9 .074 H e i g h t SWHW HW SW 4 5 . 0 0 9 .634 9 . 2 7 0 1 3 1 . 0 0 9 . 4 1 3 9 . 0 7 0 2 1 7 . 0 0 9 . 5 4 7 9 . 0 7 9 3 0 3 . 0 0 9 . 3 6 9 8 . 7 9 3 S e a s o n S t o r a g e H e i g h t 45 .00 131 .00 217 .00 3 0 3 . 0 0 F e b 0 weeks 9. 928 9. 610 9. 635 9 . 2 9 2 1 week 9. 243 9. 163 9. 583 9 . 4 1 3 2 weeks 9. 255 8. 780 9. 093 8 . 898 4 weeks 9. 823 9. 403 9 . 128 8 . 940 May 0 weeks 7 . 837 8. 665 8 . 498 8 . 2 5 5 1 week 9. 205 8. 595 8. 903 8 . 7 0 3 2 weeks 9 . 983 10 . 078 10 . 698 1 0 . 0 3 8 4 weeks 10 . 068 9. 098 9. 120 8 . 923 Nov 0 weeks 9. 773 8. 950 9. 365 8 . 9 0 8 1 week 9. 060 8. 990 8 . 737 8 . 4 7 3 2 weeks 9. 983 10 . 270 9. 510 9 . 7 9 0 4 weeks 9. 265 9. 300 9. 488 9 . 3 4 0 S e a s o n S t o r a g e SWHW HW SW F e b 0 weeks 9. 951 9 . 281 1 week 9 . 596 9 . 104 2 weeks 9. 256 8 . 756 4 weeks 9 . 526 9. 120 May 0 weeks 8. 262 8. 365 1 week 9. 039 8. 664 2 weeks 10 . 318 10 . 080 4 weeks 9. 296 9. 308 Nov 0 weeks 9. 309 9 . 189 1 week 9. 161 8. 469 2 weeks 10 . 274 9 . 503 4 weeks 9. 901 8. 795 S e a s o n H e i g h t SWHW HW SW Feb 4 5 . 0 0 9 . 756 9. 368 1 3 1 . 0 0 9. 579 8. 899 2 1 7 . 0 0 • 9. 633 9. 086 3 0 3 . 0 0 9. 362 8 . 909 May 45 . 00 9. 356 9. 190 1 3 1 . 0 0 9. 046 9 . 171 2 1 7 . 0 0 9. 443 9. 166 3 0 3 . 0 0 9 070 8. 889 Nov 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 9 . 7 8 9 9 . 6 1 5 9 . 5 6 6 9. 675 9 . 2 5 1 9 . 1 4 0 8 . 984 8 . 5 8 0 S t o r a g e 0 weeks 1 week 2 weeks 4 weeks H e i g h t 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 SWHW HW ,407 ,215 ,312 ,763 ,545 , 912 ,475 , 130 , 805 1 0 . 1 9 7 1 0 . 0 0 3 792 778 330 398 792 SW 8. 952 8 . 9 3 5 9 . 0 2 0 8 . 873 8 . 7 9 3 8 . 9 2 0 8 . 6 7 3 8 . 595 9. 675 9 .222 9 . 5 3 0 9 .358 9. 658 9 . 2 0 3 9 .092 8 . 3 4 3 S e a s o n F e b S t o r a g e 0 weeks 1 week 2 weeks 4 weeks May 0 weeks 1 week 2 weeks 4 weeks Nov 0 weeks 1 week 2 weeks H e i g h t 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 45 . 00 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 45 . 00 1 3 1 . 0 0 SWHW HW 1 0 . 6 7 5 1 0 . 4 3 5 9. 975 8 . 7 2 0 9 . 4 1 5 9 . 1 8 0 9 . 9 7 5 9 . 8 1 5 9 . 0 4 0 9 . 4 9 5 .390 ,100 ,895 .205 ,190 ,815 7 . 6 8 0 8 . 5 8 5 8 . 6 3 0 8 . 1 5 5 9 . 4 2 0 8 . 3 8 0 9 . 4 3 5 8 . 920 1 0 . 3 1 0 1 0 . 3 5 0 1 0 . 6 4 0 9 . 9 7 0 1 0 . 0 1 5 8 . 8 7 0 9 . 0 6 5 9 . 2 3 5 9 . 8 6 5 8 . 625 9 . 3 3 0 9 . 4 1 5 9 . 8 0 0 9 . 1 7 5 9 . 0 1 5 8 . 6 5 5 1 0 . 0 6 5 1 0 . 7 4 5 SW , 180 ,785 ,295 .865 ,070 , 145 , 190 .010 ,470 8 . 0 6 5 8 . 7 9 5 8 . 6 9 5 9 . 7 5 0 9 . 6 0 0 9 . 0 6 5 8 . 0 6 5 7 . 9 9 5 8 . 7 4 5 8 . 3 6 5 8 . 355 8 . 990 8 . 8 1 0 8 . 3 7 0 8 . 4 8 5 9. 655 9. 805 1 0 . 7 5 5 1 0 . 1 0 5 1 0 . 1 2 0 325 175 610 680 275 400 400 320 805 460 290 900 795 2 1 7 . 0 0 3 0 3 . 0 0 4 weeks 4 5 . 0 0 1 3 1 . 0 0 2 1 7 . 0 0 3 0 3 . 0 0 9 . 9 8 0 1 0 . 3 0 5 9 . 4 2 5 9. 915 9. 940 1 0 . 3 2 5 9 . 0 4 0 9 . 2 7 5 9 . 1 0 5 8 . 6 8 5 9 . 0 3 5 8 . 3 5 5 * * * S t a n d a r d e r r o r s o f d i f f e r e n c e s o f means * * * T a b l e S e a s o n S t o r a g e H e i g h t SWHW r e p . 64 48 48 96 d . f . 64 3 12 16 s . e . d . 0 . 1 5 7 4 0 .1508 0 . 0920 0 . 1 1 9 8 T a b l e S e a s o n S e a s o n S t o r a g e S e a s o n S t o r a g e H e i g h t H e i g h t SWHW r e p . 16 16 12 32 s . e . d . 0 . 2 9 8 0 0 . 2 7 3 0 0 .2194 0 . 2 1 7 7 d . f . 3 2 . 7 8 7 4 . 8 9 1 0 . 2 4 7 5 . 0 3 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0 . 3 1 4 8 0 . 1 8 4 0 d . f . 64 12 H e i g h t 0 . 3 1 4 8 d . f . 64 SWHW 0 . 2 2 2 6 d . f . 64 T a b l e S t o r a g e H e i g h t S e a s o n S e a s o n SWHW SWHW S t o r a g e S t o r a g e H e i g h t SWHW r e p . 24 24 4 8 s . e . d . 0 . 2 2 6 9 0 .1928 0 . 5 5 9 0 0 . 4 2 8 5 d . f . - 1 1 . 8 2 2 4 . 0 4 7 4 . 0 8 6 7 . 8 5 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0 . 2 3 9 6 0 . 5 4 6 0 0 . 4 3 5 4 d . f . 16 7 4 . 8 9 7 5 . 0 3 H e i g h t 0 . 2 3 9 6 d . f . 16 S e a s o n . S t o r a g e 0 . 5 4 6 0 0 . 4 3 5 4 d . f . 74 . 8 9 7 5 . 0 3 S t o r a g e . H e i g h t 0 . 6 2 9 7 d . f . 64 S t o r a g e . S W H W 0 . 4 4 5 2 d . f . 64 T a b l e S e a s o n S t o r a g e S e a s o n H e i g h t H e i g h t S t o r a g e SWHW SWHW H e i g h t SWHW r e p . 8 . 6 2 s . e . d . 0 . 4 1 1 5 0 . 4 0 3 7 0 . 8 3 1 6 d . f . 8 6 . 7 9 2 5 . 2 9 8 8 . 3 0 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0 . 3 8 5 6 0 . 8 2 3 0 d . f . 24 . 04 8 6 . 7 9 H e i g h t 0 .4354 d . f . 7 5 . 0 3 S e a s o n . S t o r a g e 0 . 8 2 3 0 d . f . 8 6 . 7 9 S e a s o n . H e i g h t 0 . 4 3 5 4 d . f . 7 5 . 0 3 S t o r a g e . H e i g h t 0 . 4 7 9 3 0. 8708 d . f . 16 7 5 . 0 3 S t o r a g e . S W H W 0 . 3 8 5 6 0 . 8 2 3 0 d . f . 24 . 04 8 6 . 7 9 H e i g h t . S W H W 0 . 4 4 5 2 d . f . 64 S e a s o n . S t o r a g e H e i g h t 0 . 8 7 0 8 d . f . 7 5 . 0 3 S e a s o n . S t o r a g e SWHW 0 . 8 2 3 0 d . f . 8 6 . 7 9 S t o r a g e . H e i g h t SWHW 0 . 8 9 0 5 d . f . 64 * * * L e a s t s i g n i f i c a n t d i f f e r e n c e s o f means (5% l e v e l ) * * * T a b l e S e a s o n S t o r a g e H e i g h t SWHW r e p . 64 48 48 96 d . f . 64 3 12 16 l . s . d . 0 . 3 1 4 5 0 . 4 8 0 0 0 . 2 0 0 5 0 . 2 5 4 0 T a b l e S e a s o n S e a s o n S t o r a g e S e a s o n S t o r a g e H e i g h t H e i g h t SWHW r e p . 16 16 12 32 l . s . d . 0 . 6 0 6 5 0 . 5 4 3 9 0. 4873 0 . 4 3 3 7 d . f . 3 2 . 7 8 74 . 89 1 0 . 2 4 7 5 . 0 3 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0. 6289 0 . 4 0 0 9 d . f . 64 12 H e i g h t 0 . 6289 d . f . 64 SWHW 0 . 4 4 4 7 d . f . 64 T a b l e S t o r a g e H e i g h t S e a s o n S e a s o n SWHW SWHW S t o r a g e S t o r a g e H e i g h t SWHW r e p . 24 24 4 8 l . s . d . 0 . 4 9 5 1 0 . 3 9 7 9 1 .1138 0 . 8 5 5 1 d . f . 1 1 . 82 24 . 04 74 . 08 67 . 85 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0 . 5 0 8 0 1 .0878 0 . 8 6 7 4 d . f . 16 74 . 8 9 75 . 03 H e i g h t 0 . 5 0 8 0 d . f . 16 S e a s o n . S t o r a g e 1 .0878 0 . 8 6 7 4 d . f . 74 . 8 9 7 5 . 0 3 S t o r a g e . H e i g h t 1 . 2 5 7 9 d . f . 64 S t o r a g e . S W H W 0 . 8 8 9 5 d . f . 64 T a b l e S e a s o n S t o r a g e S e a s o n H e i g h t H e i g h t S t o r a g e SWHW SWHW H e i g h t SWHW r e p . 8 6 2 l . s . d . 0 . 8 1 7 9 0 . 8 3 1 0 1 . 6 5 2 6 d . f . 8 6 . 7 9 2 5 . 2 9 88 .30 E x c e p t when c o m p a r i n g means w i t h t h e same l e v e l ( s ) o f S t o r a g e 0 . 7 9 5 8 1 . 6 3 5 9 d . f . 24 . 04 8 6 . 7 9 H e i g h t 0 . 8 6 7 4 d . f . 7 5 . 0 3 S e a s o n . S t o r a g e 1. 6359 d . f . 8 6 . 7 9 S e a s o n . H e i g h t 0 .8674 d . f . 7 5 . 0 3 S t o r a g e . H e i g h t 1 . 0 1 6 0 1 .7348 d . f . 16 7 5 . 0 3 102 S t o r a g e . S W H W d . f . H e i g h t . S W H W 0 . 8 8 9 5 d . f . 64 S e a s o n . S t o r a g e . H e i g h t d . f . S e a s o n . S t o r a g e . S W H W d . f . S t o r a g e . H e i g h t . S W H W d . f . 0 . 7958 2 4 . 0 4 1 . 6 3 5 9 8 6 . 7 9 1 .7348 7 5 . 0 3 1 . 6 3 5 9 8 6 . 7 9 1 . 7 7 8 9 64 140 DAPLOT f i t t e d , n o r m a l , h a l f n o r m a l , h i s t o g r a m Appendix 5 - Description of ANOVA A two-way Analysis of Variance (ANOVA) was used to determine the significance of fixed factors on two response variables as shown below: Fixed Factors Response Variables Temperature (T) Heating time (H) Ring Location (R) T x H T x R H x R T x H x R L* - lightness *** *** *** NS *** NS NS a* - redness *** *** *** *** *** NS NS *** = p < 0.001; NS = not significant (p > 0.05) The ANOVA was used to compare the means of individual factors or interactions between factors and determine if the difference in means is significant using an F-test. An F-test is expressed in terms of the F-ratio: F = (variation in the group means)/(expected variation in the group means) If no effects occurred (the null hypothesis Ho is correct), one would expect F to be close to 1. However, a high F value indicates that one of the fixed factors (or interactions between fixed factors) affected the response variable(s) significantly (reject Ho). Interaction effects are a result of the interaction between two fixed factors. In the example below, Class 1 scores better than Class 2 when students study alone. However, Class 2 outscores Class 1 when studying in groups. Therefore, the effect of class number is dependant on the type of studying. This relationship can be noticed graphically. If data lines cross, the effect of a factor on a variable is influence by another fixed factor. N o I n t e r a c t i o n I n t e r a c t i o n (StataCorp 2005) 104

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