Maize (Zea mays L.) breeders evaluate many single-cross hybrids each year in multiple
environments. Our objective was to determine the usefulness of genomewide predictions …

In genomewide selection, the expected correlation between predicted and true genotypic
values (rMG) has been previously derived as a function of the training population size (N) …

In preliminary studies, best linear unbiased prediction (BLUP) has been found useful for
identifying high‐yielding maize (Zea mays L.) single crosses prior to field evaluation. In this …

In hybrid breeding, the prediction of hybrid performance (HP) is extremely important as it is
difficult to evaluate inbred lines in numerous cross combinations. Recent developments …

Methods for predicting hybrid yield would facilitate the identification of superior maize (Zea
mays L.) single crosses. Best linear unbiased prediction of the performance of single …

Identifying high performing hybrids is an essential part of every maize breeding program.
Genomic prediction of maize hybrid performance allows to identify promising hybrids, when …

Predicting genetic variances of biparental populations has been a long‐standing goal for
plant breeders. The ability to discriminate among crosses with similarly predicted high …

Prediction of single-cross performance has been a major goal of plant breeders since the
beginning of hybrid breeding. Recently, genomic prediction has shown to be a promising …

Methods for predicting single‐cross performance would facilitate maize (Zea mays L.) hybrid
development. The objective of this study was to evaluate different genetic models for best …

Genomewide selection within an A/B biparental cross is most advantageous if it could be
effectively done before the cross is phenotyped. Our objectives were to determine if a …