Drought stress (DS) is a major constraint to maize yield production. Heat stress (HS) alone
and in combination with DS are likely to become the increasing constraints. Association …

Multi-trait and multi-environment analyses can improve genomic prediction by exploiting
between-trait correlations and genotype-by-environment interactions. In the context of …

The performance of genomic prediction (GP) on genetically correlated traits can be
improved through an interdependence multi-trait model under a multi-environment context …

Genome-wide prediction is a promising approach to boost selection gain in hybrid breeding.
Our main objective was to evaluate the potential and limits of genome-wide prediction to …

Genomic selection holds a great promise to accelerate plant breeding via early selection
before phenotypes are measured, and it offers major advantages over marker-assisted …

Genomic prediction models have been commonly used in plant breeding but only in
reduced datasets comprising a few hundred genotyped individuals. However, pedigree …

Genomic selection (GS) has become an important aid in plant and animal breeding.
Multienvironment (multitrait) models allow borrowing of information across environments …

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 prediction studies incorporating genotype× environment (G× E) interaction effects
are limited in durum wheat. We tested the genomic‐enabled prediction accuracy (PA) of …

To enable a scalable sparse testing genomic selection (GS) strategy at preliminary yield
trials in the CIMMYT maize breeding program, optimal approaches to incorporate genotype …