Multiple-trait prediction of lactation yields for dairy cows

Journal of Dairy Science
L R Schaeffer, J Jamrozik

Abstract

A multiple-trait procedure is described for predicting 305-d lactation yields for milk, fat, and protein that incorporates information about standard lactation curves and covariances between yields for milk, fat, and protein. Test day yields are weighted by their relative variances, and standard lactation curves of cows from similar breed, region, lactation number, age, and season of calving are used for the estimation of lactation curve parameters for each cow. Accuracies of the test interval method and the multiple-trait procedure were comparable. In addition, the multiple-trait procedure can handle long intervals between test days as well as test days with milk only recorded and can make 305-d predictions on the basis of just one test day record per cow. The procedure also lends itself to the calculation of peak yield, day of peak yield, yield persistency, and expected test-day yields, which could be useful management tools for a producer on a milk recording program.

References

Jun 1, 1992·Journal of Dairy Science·T L StantonS D Kachman

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Citations

Jan 19, 2010·Genetics and Molecular Research : GMR·S E SpeidelD H Crews
Jul 22, 2014·Animal Science Journal = Nihon Chikusan Gakkaihō·Yutaka MasudaMitsuyoshi Suzuki
Oct 26, 1999·Journal of Dairy Science·M GrossmanW J Koops
Mar 25, 2009·Journal of Dairy Science·J B ColeP M Vanraden
Sep 21, 2007·Journal of Dairy Science·M A QuistD F Kelton
Mar 11, 1998·Journal of Dairy Science·B VargasJ A Van Arendonk
May 28, 2011·Animal Science Journal = Nihon Chikusan Gakkaihō·Gelegjamts NaranchuluumMitsuyoshi Suzuki
Dec 19, 2002·Journal of Dairy Science·N P P MacciottaA Capplo-Borlino
Mar 3, 2015·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·E B Flores, J van der Werf
Feb 15, 2019·Animal Science Journal = Nihon Chikusan Gakkaihō·Koichi Hagiya
Feb 29, 2020·Asian-Australasian Journal of Animal Sciences·Amali Malshani SamaraweeraSusanne Hermesch

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