In sunflower, molecular markers for simple traits as, eg, fertility restoration, high oleic acid
content, herbicide tolerance or resistances to Plasmopara halstedii, Puccinia helianthi, or …

Genomic selection, the application of genomic prediction (GP) models to select candidate
individuals, has significantly advanced in the past two decades, effectively accelerating …

Genomic selection predicts the genomic estimated breeding values (GEBVs) of individuals
not previously phenotyped. Several studies have investigated the accuracy of genomic …

Background The characterization of genetic diversity and population differentiation for maize
inbred lines from breeding programs is of great value in assisting breeders in maintaining …

Background The selection of hybrids is an essential step in maize breeding. However,
evaluating a large number of hybrids in field trials can be extremely costly. However …

In maize breeding, genomic prediction may be an efficient tool for selecting single-crosses
evaluated under abiotic stress conditions. In addition, a promising strategy is applying …

Genotype‐by‐environment interaction (GEI) is a major concern in tropical maize breeding.
Here, we used factor analytic mixed models (FAMM) to study GEI in a tropical maize dataset …

The utilization of heterosis is a successful strategy in increasing yield for many crops.
However, it consumes tremendous manpower to test the combining ability of the parents in …

The ability of crop models to decompose complex traits and integrate the underlying
processes enables them to capture genotype-environment interactions in diverse …

Genomic prediction (GP) might be an efficient way to improve haploid induction rate (HIR)
and to reduce the laborious and time‐consuming task of phenotypic selection for HIR in …