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Prediction of genomic breeding values for reproductive traits in Nellore heifers

Costa, Raphael Bermal, Irano, Natalia, Diaz, Iara Del Pilar Solar, Takada, Luciana, Hermisdorff, Isis da Costa, Carvalheiro, Roberto, Baldi, Fernando, de Oliveira, Henrique Nunes, Tonhati, Humberto, de Albuquerque, Lucia Galvão
Theriogenology 2019 v.125 pp. 12-17
Nellore, breeding value, cows, genomics, genotyping, heifers, marker-assisted selection, phenotype, prediction, regression analysis, reproductive traits, single nucleotide polymorphism
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.