Date Available
3-9-2015
Year of Publication
2015
Degree Name
Master of Science (MS)
Document Type
Master's Thesis
College
Agriculture, Food and Environment
Department/School/Program
Animal and Food Sciences
First Advisor
Dr. Jeffrey M. Bewley
Abstract
Poor estrus detection can limit the reproductive performance of a dairy herd. One objective of this research was to evaluate an alternative method to traditional estrus detection in the form of automated monitoring technologies. To accomplish this, the first study considered the ability of automatically monitored parameters (activity, number of steps, lying bouts, lying time, feeding time, rumination time, and temperature) to detect estrus. A second study compared automated activity monitoring to timed artificial insemination as reproductive management strategies on commercial herds. The other objective of this research was to evaluate the economic potential of automated estrus detection technologies. This was accomplished by creating and evaluating a farm specific decision support tool to determine the net present value of adopting an automated estrus detection technology.
Recommended Citation
Dolecheck, Karmella Ann, "ASSESSMENT OF THE TECHNICAL AND ECONOMIC POTENTIAL OF AUTOMATED ESTRUS DETECTION TECHNOLOGIES FOR DAIRY CATTLE" (2015). Theses and Dissertations--Animal and Food Sciences. 44.
https://uknowledge.uky.edu/animalsci_etds/44
