Machine learning to identify endometrial biomarkers predictive of pregnancy success following artificial insemination in dairy cows
Quinn A Hoorn,
Maria B Rabaglino,
Thiago F Amaral
et al.
Abstract:The objective was to identify a set of genes whose transcript abundance is predictive of a cow’s ability to become pregnant following artificial insemination (AI). Endometrial epithelial cells from the uterine body were collected for RNA sequencing using the cytobrush method from 193 first-service Holstein cows at estrus prior to AI (day 0). A group of 253 first-service cows not used for cytobrush collection were controls. There was no effect of cytobrush collection on pregnancy outcomes at day 30 or 70 or on … Show more
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