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Accuracy of Genomic Prediction in French Charolais Cattle Population Using High-density Chip
Genomic breeding values were estimated in the French Charolais beef breed for the direct and maternal genetic effects for field traits routinely recorded at birth and weaning. A total of 2,671 (for direct effect traits) and 872 (for maternal effect traits) animals genotyped for the BovineHD BeadChip or imputed from the BovineSNP50 BeadChip were clustered into training (TS) and validation sets (VS). Their deregressed EBV were used as observations in weighted analyses using a BayesC approach. Accuracies of genomic EBV (GEBV) varied from 0.48 to 0.61 for direct effect traits and from 0.29 to 0.50 for maternal effect traits when the VS animals had close relatives in the TS. The GEBV of VS animals having only more distant relatives in the TS were on average 18% and 51% less accurate for direct and maternal effect traits, respectively.
Keywords:
Genomic selection
