The use of calving behaviours and automated activity monitors to predict and detect parturition and uterine diseases in Holstein cattle
department or school: Land and Food Systems, Faculty of
data provider: DSpace
degree campus: UBCV
creator: Bauer, Janet Wright
issued: 2020-06-26T14:06:48Z
issued: 2020
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Proactive management practices during the transition period are necessary to reduce the risk and mitigate the effect of transition diseases, such as dystocia and uterine diseases, in dairy cows. The aims of this thesis were to 1) investigate the relationship between the duration of labour, calving assistance, and uterine diseases (metritis and subclinical endometritis), and 2) investigate the test performance of relative changes in activity and lying behaviour using two automated activity monitors (AAM) to predict calving time and uterine disease. Holstein cows (n = 567) were followed from 3wk before to 3wk after calving. Lying behaviour and activity were monitored continuously by the AAMs. Cameras were used to record calving time and duration and calving assistance was recorded. Metritis was diagnosed based on vaginal discharge and body temperature measured at 6 and 12DIM, while subclinical endometritis was based on cytological examination at 42 ± 3DIM. Duration of labour was estimated as time from the appearance of the amniotic sac until the calf was expelled. Within study 1, we determined that there was a quadratic relationship between metritis and duration of labour for assisted cows, where the probability of metritis was greatest at the shortest and longest durations of labour, but the lowest probability of metritis (28.2%) was at approximately 130 min. Probability of metritis in unassisted cows was not associated with duration of labour. Subclinical endometritis was not associated with the duration of labour or calving score. For study 2, a relative decrease of 44% in lying time per bout, 8 h before calving, resulted in the best performance (AUC = 0.76; Se = 67%; Sp = 77%). Distinct changes in activity and lying behaviour were observed prior to calving and within cows diagnosed with uterine disease. Although current technologies show promising results for on-farm detection of calving, they may not be a reliable method for detection of uterine disease. Future r…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/74793
note: THE USE OF CALVING BEHAVIOURS AND AUTOMATED ACTIVITY MONITORS TO PREDICT AND DETECT PARTURITION AND UTERINE DISEASES IN HOLSTEIN CATTLE by Janet Wright Bauer B.Sc., The University of British Columbia, 2017 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (Applied Animal Biology) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) June 2020 ©Janet Wright Bauer, 2020 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the thesis entitled: The use of calving behaviours and automated activity monitors to predict and detect parturition and uterine diseases in Holstein cattle submitted by Janet Wright Bauer in partial fulfillment of the requirements for the degree of Master of Science in Applied Animal Biology Examining Committee: Dr. Ronaldo Cerri, Professor, Applied Animal Biology, UBC Supervisor Dr. Wolfgang Heuwieser, Professor, Clinic for Animal Reproduction, Freie Universität Berlin Supervisory Committee Member Dr. Murray Isman, Dean Emeritus, Applied Biology, UBC Additional Examiner Additional Supervisory Committee Members: Dr. Daniel Weary, Professor, Animal Welfare Program, UBC Supervisory Committee Member iii Abstract Proactive management practices during the transition period are necessary to reduce the risk and mitigate the effect of transition diseases, such as dystocia and uterine diseases, in dairy cows. The aims of this thesis were to 1) investigate the relationship between the duration of labour, calving assistance, and uterine diseases (metritis and subclinical endometritis), and 2) investigate the test performance of relative changes in activity and lying behaviour using two automated activity monitors (AAM) to predict calving time and uterine disease. Holstein cows (n = 567) were followed from 3wk before to 3wk after calving. Lying behaviour and activity were monitored …
has type: Thesis/Dissertation
date issued: 2020-11
is shown at: 10.14288/1.0391999
language: eng
degree discipline: Applied Animal Biology
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/74793