Genotype-by-environment interaction (GEI) is an important phenomenon in plant breeding.
This paper presents a series of models for describing, exploring, understanding, and …

Background Genome-wide association studies (GWAS) based on linkage disequilibrium (LD)
provide a promising tool for the detection and fine mapping of quantitative trait loci (QTL) …

Plant growth and development are influenced by the genetic composition of the plant (G), the
environment (E), and the interaction between them (G × E). To produce suitable genotypes …

A good statistical analysis of genotype × environment interactions (G × E) is a key requirement
for progress in any breeding program. Data for G × E analyses traditionally come from …

New types of phenotyping tools generate large amounts of data on many aspects of plant
physiology and morphology with high spatial and temporal resolution. These new phenotyping …

Many quantitative trait loci (QTL) detection methods ignore QTL-by-environment interaction (QEI)
and are limited in accommodation of error and environment-specific variance. This …

Despite QTL mapping being a routine procedure in plant breeding, approaches that fully
exploit data from multi-trait multi-environment (MTME) trials are limited. Mixed models have …

Heritability is a central parameter in quantitative genetics, from both an evolutionary and a
breeding perspective. For plant traits heritability is traditionally estimated by comparing within- …

A spring barley collection of 192 genotypes from a wide geographical range was used to
identify quantitative trait loci (QTLs) for salt tolerance traits by means of an association mapping …

To study the performance of genotypes under different growing conditions, plant breeders
evaluate their germplasm in multi-environment trials. These trials produce genotype × …