The reference article of the r pakage metan
Multi-environment trials (MET) are crucial steps in plant breeding programs that aim at increasing crop productivity to ensure global food security. The analysis of MET data requires the combination of several approaches including data manipulation, …
Additive main effect and multiplicative interaction (AMMI) and best linear unbiased prediction (BLUP) are popular methods for analyzing multi‐environment trials (MET). The AMMI has nice graphical tools for modeling genotype‐vs.‐environment …
Modeling the genotype × environment interaction (GEI) and quantifying genotypic stability are crucial steps for selecting/recommending genotypes in multi‐environment trials (METs). The efficiency in selection/recommendation could be greater if based …
textcopyright 2018 Embrapa. The objective of this work was to evaluate the consistency of the methods of Annicchiarico, Lin \& Binns, Wricke, and factor analysis in identifying eucalyptus clones with stability, adaptability, and high productive …