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BIBTEX RIS

Prediction of genomic breeding values for reproductive traits in Nellore heifers

2018; Elsevier BV; Volume: 125; Linguagem: Inglês

10.1016/j.theriogenology.2018.10.014

1879-3231

Raphael Bermal Costa, Natália Irano, Iara Del Pilar Solar Diaz, Luciana Takada, Ísis da Costa Hermisdorff, Roberto Carvalheiro, Fernando Baldi, Henrique Nunes de Oliveira, Humberto Tonhati, Lúcia Galvão de Albuquerque,

Genetics and Plant Breeding

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, BAYESCπ, 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. BAYESCπ showed higher predictive ability to estimate SNP effects and GEBV for all traits.