Since its introduction in 2001, genomic selection (GS) has progressed rapidly. As a research
and application hot topic, GS has led to a revolution in the field of animal and plant breeding …

Recent advancements in genomic technologies have led to the discovery and application of
DNA‐markers [eg single nucleotide polymorphisms (SNPs)] for the genetic improvement of …

In this study, we investigated the effect of five feature selection approaches on the
performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) prediction method. We …

Lactation persistency and milk production are among the most economically important traits
in the dairy industry. In this study, we explored the association of over 6.1 million imputed …

Background Millions of genetic variants have been identified by population-scale
sequencing projects, but subsets of these variants are needed for routine genomic …

Background The development of next-generation sequencing technologies (NGS) has made
the use of whole-genome sequence data for routine genetic evaluations possible, which has …

Background In contrast to currently used single nucleotide polymorphism (SNP) panels, the
use of whole-genome sequence data is expected to enable the direct estimation of the …

Background For genomic selection in populations with a small reference population,
combining populations of the same breed or populations of related breeds is an effective …

In modern plant breeding, genomic selection is becoming the gold standard for selection of
superior genotypes. The basis for genomic prediction models is a set of phenotyped lines …

Background Early simulations indicated that whole-genome sequence data (WGS) could
improve the accuracy of genomic predictions within and across breeds. However, empirical …