Breeding Value Estimation for Fat Percentage Using Dense Markers on Bos taurus Autosome 14

摘要: Prediction of breeding values using whole-genome dense marker maps for genomic selection has become feasible with the advances in DNA chip technology and discovery thousands single nucleotide polymorphisms genome-sequencing projects. The objective this study was to compare accuracy predicted from (GS), without genetic information (BLUP), gene-assisted (GEN) on real dairy cattle data 1 chromosome. Estimated 1,300 bulls fat percentage, based daughter performance records, were obtained national evaluation used as phenotypic data. All genotyped 32 markers chromosome 14, which causative mutation a gene large effect percentage. In GS, analyzed multiple quantitative trait loci (QTL) model haplotype effects each bracket polygenic effect. Identical-by-descent probabilities linkage disequilibrium covariances between haplotypes. A Bayesian method Gibbs sampling predict presence putative QTL haplotypes bracket. BLUP, removed model, whereas GEN, replaced by genotype at known mutation. treated true because their high compute prediction GEN. allele substitution mutation, 0.35% fat. GS (0.75) GEN higher than BLUP (0.51). When some close omitted only slightly lower, around 0.72. removal all within 8 cM reduced 0.64, still much BLUP. It is concluded that, when applied if are available, presented accurate