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 …

Traditional marker-assisted selection (MAS) did not result in a widespread use of DNA
information in animal breeding. The main reason was that the traits of interest in livestock …

Genotype data from dairy cattle selection programs have greatly facilitated GWAS to identify
variants related to economic traits. Results can enhance the accuracy of genomic prediction …

Background Genome wide association studies (GWAS) on residual feed intake (RFI) and its
component traits including daily dry matter intake (DMI), average daily gain (ADG), and …

This study investigated the effect on the reliability of genomic prediction when a small
number of significant variants from single marker analysis based on whole genome …

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 Genome-wide association studies (GWAS) were performed at the sequence
level to identify candidate mutations that affect the expression of six major milk proteins in …

Background Uncovering the genetic architecture of economic traits in pigs is important for
agricultural breeding. However, high-density haplotype reference panels are unavailable in …