The availability of cheap and abundant molecular markers has led to plant-breeding
methods that rely on the prediction of genotypic value from marker data, but published …

Using different populations in genomic selection raises the possibility of marker effects
varying across populations. However, common models for genomic selection only account …

A crucial step in plant breeding is the selection and combination of parents to form new
crosses. Genome-based prediction guides the selection of high-performing parental lines in …

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 …

We compared the accuracies of four genomic-selection prediction methods as affected by
marker density, level of linkage disequilibrium (LD), quantitative trait locus (QTL) number …

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) …

Despite important strides in marker technologies, the use of marker‐assisted selection has
stagnated for the improvement of quantitative traits. Biparental mating designs for the …

Marked-assisted genetic improvement of agricultural species exploits statistical
dependencies in the joint distribution of marker genotypes and quantitative traits. An issue is …

Over the last two decades, the application of genomic selection has been extensively
studied in various crop species, and it has become a common practice to report prediction …

Genetic correlations between quantitative traits measured in many breeding programs are
pervasive. These correlations indicate that measurements of one trait carry information on …