Achieving accurate genomic estimated breeding values for dairy cattle requires a very large
reference population of genotyped and phenotyped individuals. Assembling such reference …

Results from genome-wide association studies in livestock, and humans, has lead to the
conclusion that the effect of individual quantitative trait loci (QTL) on complex traits, such as …

Background The purpose of this work was to study the impact of both the size of genomic
reference populations and the inclusion of a residual polygenic effect on dairy cattle genetic …

This study investigated genomic prediction using medium-density (∼ 54,000; 54K) and high-
density marker panels (∼ 777,000; 777K), based on data from Nordic Holstein and Red …

Various models have been used for genomic prediction. Bayesian variable selection models
often predict more accurate genomic breeding values than genomic BLUP (GBLUP), but …

A new technology called genomic selection is revolutionizing dairy cattle breeding. Genomic
selection refers to selection decisions based on genomic breeding values (GEBV). The …

Reliabilities for genomic estimated breeding values (GEBV) were investigated by simulation
for a typical dairy cattle breeding setting. Scenarios were simulated with different heritabilites …

Methods for genomic prediction were evaluated for an Israeli Holstein dairy population of
713,686 cows and 1,305 progeny-tested bulls with genotypes. Inclusion of genotypes of 343 …

Background Two key findings from genomic selection experiments are 1) the reference
population used must be very large to subsequently predict accurate genomic estimated …

The objective of the present study was to evaluate the predictive ability of direct genomic
values for economically important dairy traits when genotypes at some single nucleotide …