Capitalizing on fine milk composition for breeding and management of dairy cows

Journal of Dairy Science
N GenglerP Dardenne

Abstract

The challenge of managing and breeding dairy cows is permanently adapting to changing production circumstances under socio-economic constraints. If managing and breeding address different timeframes of action, both need relevant phenotypes that allow for precise monitoring of the status of the cows, and their health, behavior, and well-being as well as their environmental impact and the quality of their products (i.e., milk and subsequently dairy products). Milk composition has been identified as an important source of information because it could reflect, at least partially, all these elements. Major conventional milk components such as fat, protein, urea, and lactose contents are routinely predicted by mid-infrared (MIR) spectrometry and have been widely used for these purposes. But, milk composition is much more complex and other nonconventional milk components, potentially predicted by MIR, might be informative. Such new milk-based phenotypes should be considered given that they are cheap, rapidly obtained, usable on a large scale, robust, and reliable. In a first approach, new phenotypes can be predicted from MIR spectra using techniques based on classical prediction equations. This method was used successfully for many no...Continue Reading

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Citations

Jul 4, 2016·Journal of Dairy Science·J E PryceJ B Cole
Nov 7, 2017·Journal of Dairy Science·J B Cole, P M VanRaden
Oct 17, 2017·Animal : an International Journal of Animal Bioscience·F G ColinetN Gengler
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Jul 28, 2021·Animal : an International Journal of Animal Bioscience·J M Moorby, M D Fraser

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