metan: An R package for multi‐environment trial analysis

Abstract 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, visualization and modelling. As new methods are proposed, analysing MET data correctly and completely remains a challenge, often intractable with existing tools. Here we describe the metan R package, a collection of functions that implement a workflow‐based approach to (a) check, manipulate and summarize typical MET data; (b) analyse individual environments using both fixed and mixed‐effect models; (c) compute parametric and nonparametric stability…

• CD
  Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
• CN
  Conselho Nacional de Desenvolvimento Científico e Tecnológico