The aim of this study was to perform genome-wide selection using a set of Dart-seq markers
associated to the additive-dominant genomic best linear unbiased prediction (GBLUP) …

In crop breeding, genomic selection (GS) serves as a powerful tool for predicting unknown
phenotypes by using genome-wide markers, aimed at enhancing genetic gain for …

The usefulness of genomic prediction (GP) for many animal and plant breeding programs
has been highlighted for many studies in the last 20 years. In maize breeding programs …

Key message Weighted outperformed unweighted genomic prediction using an unbalanced
dataset representative of a commercial breeding program. Moreover, the use of the two …

Maize (Zea mays L.) serves as model plant for heterosis research and is the crop where
hybrid breeding was pioneered. We analyzed genomic and phenotypic data of 1254 hybrids …

Genotyping platforms are important for genetic research and molecular breeding. In this
study, a low-density genotyping platform containing 5.5 K SNP markers was successfully …

Key message The calibration data for genomic prediction should represent the full genetic
spectrum of a breeding program. Data heterogeneity is minimized by connecting data …

Background There is increasing empirical evidence that whole-genome prediction (WGP) is
a powerful tool for predicting line and hybrid performance in maize. However, there is a lack …

The ability to predict the agronomic performance of single-crosses with high precision is
essential for selecting superior candidates for hybrid breeding. With recent technological …

Genomic selection has been implemented in several plant and animal breeding programs
and it has proven to improve efficiency and maximize genetic gains. Phenotypic data of …