The genomic prediction of phenotypes and breeding values in animals and plants has
developed rapidly into its own research field. Results of genomic prediction studies are often …

Early application of genomic selection relied on SNP estimation with phenotypes or de-
regressed proofs (DRP). Chips of 50k SNP seemed sufficient for an accurate estimation of …

Computing the inverse of the genomic relationship matrix using recursion was investigated.
A traditional algorithm to invert the numerator relationship matrix is based on the observation …

Background A single-step blending approach allows genomic prediction using information
of genotyped and non-genotyped animals simultaneously. However, the combined …

Background Efficient, robust, and accurate genotype imputation algorithms make large-scale
application of genomic selection cost effective. An algorithm that imputes alleles or allele …

An important goal in animal breeding is to improve longitudinal traits; that is, traits recorded
multiple times during an individual's lifetime or physiological cycle. Longitudinal traits were …

In single‐step genomic evaluation using best linear unbiased prediction (ss GBLUP),
genomic predictions are calculated with a relationship matrix that combines pedigree and …

Official multibreed genomic evaluations for dairy cattle in the United States are based on
multibreed BLUP evaluation followed by single-breed estimation of SNP effects. Single-step …

Genomic selection increases accuracy and decreases generation interval, speeding up
genetic changes in the populations. However, intensive changes caused by selection can …

Genomic selection (GS) is now practiced successfully across many species. However, many
questions remain, such as long-term effects, estimations of genomic parameters, robustness …