Plant breeding

Sequential path analysis with {metan} R package

The new function path_analysis_seq() in {metan} can performs a sequential path analysis, a path analysis with two sets of predictors.

Introdução ao Software R [PT-BR]

Software R para avaliação de dados experimentais - Um foco em experimentos agronômicos

Em direção a uma seleção multivariada eficaz em experimentos biológicos

Encontre mais detalhes sobre o índice MGIDI

Toward an effective multivariate selection in biological experiments

Find out more about the MGIDI index

Multivariate index for analysis of biological experiments

The MGIDI index can be used to an effective multivariate selection in biological experiments, which is included (but not limited to) genotype selection in plant breeding and treatment recomendation in (un)replicated experiments.

R package metan

An R package for multi-environment trial analysis

metan: an R package for multi‐environment trial analysis

The reference article of the r pakage metan

MGIDI: towards an effective multivariate selection in biological experiments

Multi-trait selection in biological experiments

Mgidi: towards an effective multivariate selection in biological experiments

Multivariate data are common in biological experiments and using the information on multiple traits is crucial to make better decisions for treatment recommendations or genotype selection. However, identifying genotypes/treatments that combine high …