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

The reliability of genomic evaluations depends on the proportion of genetic variation
explained by the DNA markers. In this study, we have estimated the proportion of variance in …

Animals can be genotyped for thousands of single nucleotide polymorphisms (SNPs) at one
time, where the SNPs are located at roughly 1‐cM intervals throughout the genome. For …

Reliability of predictions from single-step genomic BLUP (ssGBLUP) can be calculated by
matrix inversion, but that is not feasible for large data sets. Two methods of approximating …

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

Genomic selection increases accuracy and decreases generation interval, accelerating
genetic changes in populations. Assumptions of genetic improvement must be addressed to …

Single step genomic methodology provides a unified framework to integrate phenotypic,
pedigree and genomic information in prediction of breeding values for all individuals and in …

Efficient methods for processing genomic data were developed to increase reliability of
estimated breeding values and to estimate thousands of marker effects simultaneously …

Genomic selection offers many advantages with regard to improving the rate of genetic gain
in dairy cattle breeding programs. The most important factors that contribute to faster 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 …