genotype-environment interaction

metan v1.11.0 now on CRAN

Find out the changes made in the v1.11.0 of metan package

metan v1.5.1 on CRAN

Find out the changes made in the v1.5.1 of metan package

R package metan

An R package for multi-environment trial analysis

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, …

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 …

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 …

Caracteres morfol\'ogicos e rendimento de gr\~aos de h\'ibridos simples de milho em diferentes ambientes

The aim of this study was to assess the behavior of morphological components and yield of simple hybrid corn grains cultivated in different environments. Three field trials were conducted in the state of Rio Grande do Sul under an experimental …

Environment stratification in the evaluation of corn hybrids in southern brazil

The implementation of a network of maize trials is an onerous task, so breeding programs seek to eliminate redundant environments, remaining only contrasting ones. The objective was to perform the homogeneous environment grouping by studying the …

Morphological characteristics and grain yield of simple corn hybrids in different environments