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 …

Genomic selection (GS) is a powerful tool for improving genetic gain in maize breeding.
However, its routine application in large-scale breeding pipelines is limited by the high cost …

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 studies usually use few environmental models to predict progenies from
biparental crosses. However, in a maize breeding program, numerous crosses need to be …

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 …

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

Genomic selection has become a reality in plant breeding programs with the reduction in
genotyping costs. Especially in maize breeding programs, it emerges as a promising tool for …

Hybrid breeding programs are driven by the potential to explore the heterosis phenomenon
in traits with nonadditive inheritance. Traditionally, progress has been achieved by crossing …

Maize (Zea mays L.) has been a focus of scientific research and breeding for over a century.
It is also one of the most economically important crops in the world, with a value of …

Genomic selection is being used increasingly in plant breeding to accelerate genetic gain
per unit time. One of the most important applications of genomic selection in maize breeding …