Prediction of genetic merit using dense SNP genotypes can be used for estimation of
breeding values for selection of livestock, crops, and forage species; for prediction of …

The genetic architecture of complex traits in cattle includes very large numbers of loci
affecting any given trait. Most of these loci have small effects but occasionally there are loci …

Genomic prediction of future phenotypes or genetic merit using dense SNP genotypes can
be used for prediction of disease risk, forensics, and genomic selection of livestock and …

Background A haplotype approach to genomic prediction using high density data in dairy
cattle as an alternative to single-marker methods is presented. With the assumption that …

Dominance may be an important source of non-additive genetic variance for many traits of
dairy cattle. However, nearly all prediction models for dairy cattle have included only …

Background Dominance effects may contribute to genetic variation of complex traits in dairy
cattle, especially for traits closely related to fitness such as fertility. However, traditional …

Background Currently, genomic prediction in cattle is largely based on panels of about 54k
single nucleotide polymorphisms (SNPs). However with the decreasing costs of and current …

Background Estimates of dominance variance in dairy cattle based on pedigree data vary
considerably across traits and amount to up to 50% of the total genetic variance for …

The main goal in animal breeding is to select individuals that have high breeding values for
traits of interest as parents to produce the next generation and to do so as quickly as …

Background In dairy cattle populations in which crossbreeding has been used, animals
show some level of diversity in their origins. In rotational crossbreeding, for instance …