Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus1-Reference-Cited by-同舟云学术

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Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus1

Published:2015-06-01 Issue:6 Volume:93 Page:2653-2662
ISSN:0021-8812
Container-title:Journal of Animal Science
language:en
Short-container-title:

Author:

Lourenco D. A. L.¹,Tsuruta S.¹,Fragomeni B. O.¹,Masuda Y.¹,Aguilar I.²,Legarra A.³,Bertrand J. K.¹,Amen T. S.⁴,Wang L.⁴,Moser D. W.⁴,Misztal I.¹

Affiliation:

1. Department of Animal and Dairy Science, University of Georgia, Athens 30602

2. Instituto Nacional de Investigacion Agropecuaria, Canelones, Uruguay 90200

3. Institut National de la Recherche Agronomique, UMR1388 GenPhySE, Castanet Tolosan, France 31326

4. Angus Genetics Inc., St. Joseph, MO 64506

Funder

Agriculture and Food Research Initiative Competitive

National Institute of Food and Agriculture

Publisher

Oxford University Press (OUP)

Subject

Genetics,Animal Science and Zoology,General Medicine,Food Science

Link

http://academic.oup.com/jas/article-pdf/93/6/2653/23774780/2653.pdf

Reference32 articles.

1. Genetic evaluation using unsymmetric single step genomic methodology with large number of genotypes;Aguilar;Interbull Bull.,2013

2. Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score;Aguilar;J. Dairy Sci.,2010

3. Efficient computation of the genomic relationship matrix and other matrices used in single-step evaluation;Aguilar;J. Anim. Breed. Genet.,2011

4. Accuracies of estimated breeding values from ordinary genetic evaluations do not reflect the correlation between true and estimated breeding values in selected populations;Bijma;J. Anim. Breed. Genet.,2012

5. Genomic prediction when some animals are not genotyped;Christensen;Genet. Sel. Evol.,2010

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