AMMI

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metan: an R package for multi‐environment trial analysis

The reference article of the r pakage metan

Metan: an r package for multi‐environment trial analysis

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, …

Mean performance and stability in multi‐environment trials i: combining features of ammi and blup techniques

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 …

Mean performance and stability in multi‐environment trials ii: selection based on multiple traits

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 …