Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …

The breeding of forest trees is only a few decades old, and is a much more complicated,
longer, and expensive endeavor than the breeding of agricultural crops. One breeding cycle …

Simulation and empirical studies of genomic selection (GS) show accuracies sufficient to
generate rapid genetic gains. However, with the increased popularity of GS approaches …

A common problem for genome-wide association analysis (GWAS) is lack of power for
detection of quantitative trait loci (QTLs) and precision for fine mapping. Here, we present a …

Whole-genome enabled prediction of complex traits has received enormous attention in
animal and plant breeding and is making inroads into human and even Drosophila genetics …

Genomic evaluation methods assume that the reference population is genotyped and
phenotyped. This is most often false and the generation of pseudo-phenotypes is uncertain …

Background Genomic selection (GS) is emerging as an efficient and cost-effective method
for estimating breeding values using molecular markers distributed over the entire genome …

Genomic evaluation models can fit additive and dominant SNP effects. Under quantitative
genetics theory, additive or “breeding” values of individuals are generated by substitution …

Genomic selection can increase genetic gain per generation through early selection.
Genomic selection is expected to be particularly valuable for traits that are costly to …

Quantitative trait loci (QTL)/association mapping aims at finding genomic loci associated
with the phenotypes, whereas genomic selection focuses on breeding value prediction …