The identification of superior hybrids is important for the success of a hybrid breeding
program. However, field evaluation of all possible crosses among inbred lines requires …

Hybrid breeding in barley (Hordeum vulgare L.) offers great opportunities to accelerate the
rate of genetic improvement and to boost yield stability. A crucial requirement consists of the …

Accurate prediction of the phenotypical performance of untested single-cross hybrids allows
for a faster genetic progress of the breeding pool at a reduced cost. We propose a prediction …

Key message Complex traits in sugarcane can be accurately predicted using genome-wide
DNA markers. Genomic single-step prediction is an attractive method for genomic selection …

Testcross factorials in newly established hybrid breeding programs are often highly
unbalanced, incomplete, and characterized by predominance of special combining ability …

Genomic selection (GS) uses associations between markers and phenotypes to predict the
breeding values of individuals. It can be applied early in the breeding cycle to reduce the …

A reliable phenotyping and a thorough investigation of the experimental data via accurate
statistical methods are key requirements for attaining selection gain. Coffee bean yield data …

Oilseed rape (Brassica napus) is an economically important oil crop, yet the genetic
architecture of its complex traits remain largely unknown. Here, genome-wide association …

Cowpea (Vigna unguiculata (L.) Walp.) is one such legume that can facilitate achieving
sustainable nutrition and climate change goals. Assessing nutritional traits conventionally …

In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that
allows the prediction of the phenotype of single cross hybrids that were not tested in field …