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

Key message Development of models to predict genotype by environment interactions, in
unobserved environments, using environmental covariates, a crop model and genomic …

Key message Population structure must be evaluated before optimization of the training set
population. Maximizing the phenotypic variance captured by the training set is important for …

Genomic selection (GS) has created a lot of excitement and expectations in the animal‐ and
plant‐breeding research communities. In this review, we briefly describe how genomic …

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

Genomic selection (GS) offers breeders the possibility of using historic data and unbalanced
breeding trials to form training populations for predicting the performance of new lines. …

Simulation and empirical studies of genomic selection (GS) show accuracies sufficient to
generate rapid annual genetic gains. Whole‐genome genotyping provides the opportunity to …

Spot blotch, caused by Cochliobolus sativus, is an important foliar disease of wheat in
warmer wheat-growing regions leading to significant reductions in grain yield and quality. …

Fusarium head blight (FHB), also known as head scab, is a devastating fungal disease of
bread and durum wheat worldwide. It reduces yield, lowers seed germination, reduces grain …

Genomic prediction, the joint analysis of high-density molecular marker data and phenotype
to predict the performance of individuals for breeding purpose, is now a method used in …