To overcome the multiple challenges currently faced by agriculture, such as climate change
and soil deterioration, more efficient plant breeding strategies are required. Genomic …

Genotype-environment interaction is pervasive in forest genetics. Delineation of spatial
breeding zones (BZs) is fundamental for accommodating genotype-environment interaction …

The optimization of perennial plant breeding necessarily involves the evaluation of multi-
harvest and/or multi-site trials. In these situations, modeling covariance structures can …

The selection of better-evaluated genotypes for a target region depends on the
characterization of the climate conditions of the environment. With the advancement of …

An accurate and efficient statistical method for repeated measures analysis and selection of
scion/rootstock combinations (SRC) is a fundamental prerequisite for genetic progress in …

Genomic prediction models that capture genotype-by-environment (GxE) interaction are
useful for predicting site-specific performance by leveraging information among related …

Multispectral imaging by unoccupied aerial vehicles provides a nondestructive, high-
throughput approach to measure biomass accumulation over successive alfalfa (Medicago …

Global warming threatens the productivity of forest plantations. We propose here the
integration of environmental information into a genomic evaluation scheme using individual …

The quantitative nature of wood production poses a challenge for breeders. The complex
interaction of genotypes with environments (G× E) makes cultivars recommendation difficult …

Random regression models (RRM) are a powerful tool to evaluate genotypic plasticity over
time. However, to date, RRM remains unexplored for the analysis of repeated measures in …