A common dataset for genomic analysis of livestock populations.

摘要: Although common datasets are an important resource for the scientific community and can be used to address questions, genomic of a meaningful size have not generally been available in livestock species. We describe pig dataset that PIC (a Genus company) has made comparing prediction methods. also evaluation data using methods considers best practice predicting validating breeding values, we discuss impact structure on accuracy. The contains 3534 individuals with high-density genotypes, phenotypes, estimated values five traits. Genomic were calculated BayesB, phenotypes de-regressed single-step BLUP approach combines information from genotyped un-genotyped animals. value accuracy increased trait heritability relationship between training validation. In nearly all cases, BayesB outperformed other approaches, but performed only slightly worse. This was useful real data. Our results indicate validation approaches accounting relatedness populations correct potential overestimation accuracies, implications genotyping strategies carry out selection programs.