Comparing deregression methods for genomic prediction of test-day traits in dairy cattle

Author:

de Oliveira H.R.12ORCID,Silva F.F.2,Brito L.F.1,Guarini A.R.1,Jamrozik J.13,Schenkel F.S.1

Affiliation:

1. Centre for Genetic Improvement of Livestock; Department of Animal Biosciences; University of Guelph; Guelph ON Canada

2. Department of Animal Science; Universidade Federal de Viçosa; Viçosa Minas Gerais Brazil

3. Canadian Dairy Network; Guelph ON Canada

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals,General Medicine

Reference28 articles.

1. Aguilar , I. Misztal , I. Tsuruta , S. Legarra , A. Wang , H 2014 PREGSF90-POSTGSF90: Computational tools for the implementation of single-step genomic selection and genome-wide association with ungenotyped individuals in BLUPF90 programs Proceedings, 10th World Congress of Genetics Applied to Livestock Production Vancouver, Canada https://doi.org/10.13140/2.1.4801.5045

2. Application of single-step genomic best linear unbiased prediction with a multiple-lactation random regression test-day model for Japanese Holsteins;Baba;Animal Science Journal,2016

3. Validation of simultaneous deregression of cow and bull breeding values and derivation of appropriate weights;Calus;Journal of Dairy Science,2016

4. Inclusion of cow records in genomic evaluations and impact on bias due to preferential treatment;Dassonneville;Genetics Selection Evolution,2012

5. Deregressing estimated breeding values and weighting information for genomic regression analyses;Garrick;Genetics Selection Evolution,2009

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