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Estrus Detection Intensity and Accuracy, and Optimal Timing of Insemination with Automated Activity Monitors for Dairy Cows

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dc.contributor.advisor LeBlanc, Stephen
dc.contributor.author LeRoy, Craig
dc.date.accessioned 2016-04-21T18:23:27Z
dc.date.available 2016-04-21T18:23:27Z
dc.date.copyright 2016-04
dc.date.created 2016-04-12
dc.date.issued 2016-04-21
dc.identifier.uri http://hdl.handle.net/10214/9598
dc.description.abstract This thesis was conducted to evaluate automated activity monitors (AAM) for estrus detection and to identify the time interval after activity alert that optimizes pregnancy risk. A study was conducted on four dairy farms using one of two AAM systems for inseminations before 80 days in milk (DIM). Activity monitors identified 83% of cows in estrous by 80 DIM. Anovular or multiparous cows, cows with purulent vaginal discharge, or lame cows with body condition score ≤ 2.5 had higher odds of not being detected in estrus by 80 DIM. In a sample of inseminations based on AAM, only 3% were not in estrus based on serum progesterone concentration. The probability of pregnancy was higher for primiparous cows inseminated 0 to 8 hours after AAM alert but was not different for multiparous cows inseminated 0 to 8 h, 8 to 16 h or 16 to 24 h after AAM alert. en_US
dc.description.sponsorship Dairy Farmers of Ontario en_US
dc.language.iso en en_US
dc.subject Activity Monitors en_US
dc.subject Estrus Detection en_US
dc.title Estrus Detection Intensity and Accuracy, and Optimal Timing of Insemination with Automated Activity Monitors for Dairy Cows en_US
dc.type Thesis en_US
dc.degree.programme Population Medicine en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Population Medicine en_US
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