Genomic selection (GS) is a method to estimate the breeding values of individuals by using
markers throughout the genome. We evaluated the accuracies of GS using data from five …

Genomic selection (GS) is a promising tool for plant and animal breeding that uses genome‐
wide molecular marker data to capture small and large effect quantitative trait loci and …

Genomic selection (GS) has been promising for increasing genetic gains in several species.
Therefore, we evaluated the potential integration of GS for grain yield (GY) in bread wheat …

Genomic selection (GS) uses genome‐wide molecular marker data to predict the genetic
value of selection candidates in breeding programs. In plant breeding, the ability to produce …

Genomic Selection (GS) is a method in plant breeding to predict the genetic value of
untested lines based on genome-wide marker data. The method has been widely explored …

Genome-wide molecular markers are often being used to evaluate genetic diversity in
germplasm collections and for making genomic selections in breeding programs. To …

Prediction accuracy of genomic selection (GS) has been previously evaluated through
simulation and cross‐validation; however, validation based on progeny performance in a …

Genomic selection (GS) uses genomewide molecular markers to predict breeding values
and make selections of individuals or breeding lines prior to phenotyping. Here we show …

Core Ideas Training populations can be optimized for specific testing populations. Optimized
training populations are smaller, more related, and more predictive. Stratified sampling with …

Genomic selection applied to plant breeding enables earlier estimates of a line's
performance and significant reductions in generation interval. Several factors affecting …