Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances.

Abstract excerpt

Various models have been used for genomic prediction. Bayesian variable selection models often predict more accurate genomic breeding values than genomic BLUP (GBLUP), but GBLUP is generally preferred for routine genomic evaluations because of low computational demand. The objective of this study was to achieve the benefits of both models using results from Bayesian models and genome-wide association studies as...

Topics

• Animals
• Bayes Theorem
• Body Weight
• Breeding
• Cattle
• Fertility
• Genetic Association Studies
• Genetic Loci
• Genome
• Genomics
• Genotype
• Linear Models
• Milk
• Models, Theoretical
• Phenotype
• Polymorphism, Single Nucleotide
• Reproducibility of Results