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

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

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademic

Abstract

Accurate and early identification of the likelihood of conception (LC) 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 LC. The results show that the MIR data within 30 to 50 d after calving and close to insemination had a better prediction in LC (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
Title of host publicationProceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Subtitle of host publicationTechnical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges
EditorsR.F. Veerkamp, Y. de Haas
Place of PublicationWageningen
PublisherWageningen Academic Publishers
Pages631-634
ISBN (Electronic)9789086869404
DOIs
Publication statusPublished - 2022
EventWorld Congress on Genetics Applied to Livestock Production (2022) - Rotterdam, Netherlands
Duration: 3 Jul 20228 Jul 2022

Conference/symposium

Conference/symposiumWorld Congress on Genetics Applied to Livestock Production (2022)
Abbreviated titleWCGALP 2022
Country/TerritoryNetherlands
CityRotterdam
Period3/07/228/07/22

Fingerprint

Dive into the research topics of 'Classifying the likelihood of conception in dairy cow with milk mid-infrared spectra before the first insemination.'. Together they form a unique fingerprint.

Cite this