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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Investigation of Automated Activity Monitoring Systems for Reproduction in Dairy Cattle

Neves, Rafael 26 July 2011 (has links)
This thesis is an investigation of the reproductive performance of dairy herds managed using automated activity monitoring systems for heat detection (AHD) in comparison to herds using timed artificial insemination programs (TAI). Two approaches were taken: a randomized clinical trial and a retrospective cross-sectional study. In the field trial, pregnancy risk (PR) was not different between the AHD (14.6%) and TAI program (15.9%). Overall, time to pregnancy, time to 1st service and time to 2nd service were not different between breeding programs. In the observational study, annual herd-summary reproductive performance in farms using AHD and TAI were not different. Finally, a retrospective analysis in herds that were using AHD for more than one year compared the years before and after adoption of the system. A significant increase of PR and insemination risk was found. In conclusion, AHD systems had comparable reproductive performance to TAI-based programs. / Ontario Ministry of Agriculture, Food and Rural Affairs. Gencor and SCR Engineers Ltd.
2

ASSESSMENT OF THE TECHNICAL AND ECONOMIC POTENTIAL OF AUTOMATED ESTRUS DETECTION TECHNOLOGIES FOR DAIRY CATTLE

Dolecheck, Karmella Ann 01 January 2015 (has links)
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.

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