The single most important decision in plant breeding programs is the selection of
appropriate crosses. The ideal cross would provide superior predicted progeny performance …

In wheat breeding, it is a difficult task to select the most suitable parents for making crosses
aimed at the improvement of both grain yield and grain quality. By quantitative genetics …

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 …

Genomic selection offers several routes for increasing the genetic gain or efficiency of plant
breeding programmes. In various species of livestock, there is empirical evidence of …

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 …

Key message We evaluated genomic selection across five breeding cycles of bread wheat
breeding. Bias of within-cycle cross-validation and methods for improving the prediction …

Genotyping-by-sequencing technology is rapidly reducing marker costs and increasing
genome coverage allowing the widespread use of molecular markers and methods in plant …

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

Key message Genomic selection models can be trained using historical data and filtering
genotypes based on phenotyping intensity and reliability criterion are able to increase the …

Accurate prediction of single cross performance is of fundamental importance to increase
the selection gain in wheat (Triticum aestivum L.) hybrid breeding programs. We used …