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) as a promising molecular breeding strategy has been widely
implemented and evaluated for plant breeding, because it has remarkable superiority in …

Genotype-by-environment interaction (GEI) is among the greatest challenges for maize
breeding programs. Strong GEI limits both the prediction of genotype performance across …

High throughput genotyping, phenotyping, and envirotyping applied within plant breeding
multienvironment trials (METs) provide the data foundations for selection and tackling …

Traits with a complex unknown genetic architecture are common in breeding programs.
However, they pose a challenge for selection due to a combination of complex …

Accurately predicting the phenotypes of complex traits is crucial to enhanced breeding in
plants and livestock, and to enhanced medicine in humans. Here we reports the first study …

Untangling the genetic architecture of grain yield (GY) and yield stability is an important
determining factor to optimize genomics-assisted selection strategies in wheat. We …

Genomic-enabled prediction is becoming increasingly important in animal and plant
breeding and is also receiving attention in human genetics. Deriving accurate predictions of …

Pea is an important food and feed crop and a valuable component of low-input farming
systems. Improving resistance to biotic and abiotic stresses is a major breeding target to …

Multi-environment trials are routinely conducted in plant breeding to select candidates for
the next selection cycle. In this study, we compare the prediction accuracy of four developed …