Two-stage analysis methods are often used in multi-environment trials (MET) for plant
variety selection, when a single-stage approach is not feasible or too time consuming. In any …

Sparse testing in genome‐enabled prediction in plant breeding can be emulated throughout
different line allocations where some lines are observed in all environments (overlap) and …

The prediction accuracy of multi-environment prediction models can be affected by the
complexity of the genotype by environment interaction (G× E). Moreover, depending on the …

Abstract Key Message The use of multi-environment trials to test yield-related traits in a
diverse alfalfa panel allowed to find multiple molecular markers associated with complex …

The development of genome-informed methods for identifying quantitative trait loci (QTL)
and studying the genetic basis of quantitative variation in natural and experimental …

Large-effect loci—those statistically significant loci discovered by genome-wide association
studies or linkage mapping—associated with key traits segregate amidst a background of …

Contrast between marker-assisted backcross (MABC) and doubled haploid (DH) methods in
transferring genes for resistance to maize lethal necrosis (MLN) in maize (Zea mays L.) is …

In recent years, breeders have been incorporating genomic predictions (GP) into their
breeding programs as a useful, cost-effective, and versatile tool to increase genetic gain …

Large-effect loci—those discovered by genome-wide association studies or linkage
mapping—associated with key traits segregate amidst a background of minor, often …

Spatial point processes allow for model fitting to spatial point pattern data. These spatial
models estimate parameters, including covariates, based on the spatial location of points of …