Date Available
7-29-2016
Year of Publication
2015
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College
Agriculture, Food and Environment
Department/School/Program
Animal and Food Sciences
Advisor
Dr. Jeffrey M. Bewley
Co-Director of Graduate Studies
Dr. William J. Silvia
Abstract
The detection of estrus continues to be a primary factor contributing to poor reproductive performance in modern dairy cattle. The objectives of this research were 1) to evaluate performance of automated detection of estrus using a reference standard of ovulation detection with temporal progesterone patterns 2) to evaluate the efficacy of parameters measured by automated detection of estrus systems 3) to evaluate the efficacy of alerts generated by several commercially available systems used for automated detection of estrus and 4) to determine the differences in these parameters among cows with or without poor health conditions at the time of estrus. Systems used for automated detection of estrus can perform better than the previous original reference standard, visual observation for standing behaviors. All systems used for automated detection of estrus tested were similar for estrus detection efficiency.
Recommended Citation
Mayo, Lauren M., "ASSESSING THE EFFICACY OF AUTOMATED DETECTION OF ESTRUS IN DAIRY CATTLE" (2015). Theses and Dissertations--Animal and Food Sciences. 51.
https://uknowledge.uky.edu/animalsci_etds/51
