Publicação: Prediction of genomic breeding values for reproductive traits in Nellore heifers
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Curso de graduação
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Editor
Elsevier B.V.
Tipo
Artigo
Direito de acesso
Acesso aberto
Resumo
The objective of this study was to assess the accuracy of genomic predictions for female reproductive traits in Nellore cattle. A total of 1853 genotyped cows and 305,348 SNPs were used for genomic selection analyses. GBLUP, BAYESC pi, and IBLASSO were applied to estimate SNP effects. The pseudo-phenotypes used as dependent variables were: observed phenotype (PHEN), adjusted phenotype (CPHEN), estimated breeding value (EBV), and deregressed estimated breeding value (DEBV). Predictive abilities were assessed by the average correlation between CPHEN and genomic estimated breeding value (GEBV) and by the average correlation between DEBV and GEBV in the validation population. Regression coefficients of pseudo phenotypes on GEBV in the validation population were indicators of prediction bias in GEBV. BAYESC pi showed higher predictive ability to estimate SNP effects and GEBV for all traits. (C) 2018 Elsevier Inc. All rights reserved.
Descrição
Palavras-chave
Genomic selection, Predicative ability, Reproductive efficiency, SNP
Idioma
Inglês
Como citar
Theriogenology. New York: Elsevier Science Inc, v. 125, p. 12-17, 2019.
