Classifying the likelihood of conception in dairy cow with milk mid-infrared spectra before the first insemination.

W. Lou, R. Shi, A. van der Linden, H.A. Mulder, S.J. Oosting, Lin Liu, Yachun Wang

Research output: Contribution to conferenceAbstract

Abstract

Accurate and early identification of the likelihood of conception (LS) in cows is imperative for a profitable dairy farm. This study aims to use the milk mid-infrared (MIR) spectra in different
intervals before the first insemination and partial least squares discriminant analysis (PLS-DA) to predict LS. The results show that the MIR data within 30 to 50 d after calving and close to
insemination had a better prediction in LS (Accuracy = 73.9% and 72.3%) than 0 to 30 d. And specificity (74.4% to 84.9%) was higher than sensitivity (67.8% to 73.1%). Once the expected
date of insemination is given, the model can predict LC before the actual insemination, and intervene in advance for cows predicted poor LC such as delayed insemination and treatment
can be initiated. The predicted LC also provide a novel and convenient way to accumulate extra reproductive phenotypes for genetic evaluation.
Original languageEnglish
Publication statusPublished - 3 Aug 2022
Event12th WCGALP 2022 - Rotterdam, Netherlands
Duration: 3 Jul 20228 Jul 2022
https://wcgalp.com/

Other

Other12th WCGALP 2022
Abbreviated titleWCGALP
Country/TerritoryNetherlands
CityRotterdam
Period3/07/228/07/22
Internet address

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