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metan (version 1.2.1)
Multi Environment Trials Analysis
Description
Performs stability analysis of multi-environment
trial data using parametric and non-parametric methods. Parametric
methods includes Additive Main Effects and Multiplicative Interaction
(AMMI) analysis by Gauch (2013) ,
Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang
(2003) , joint Regression Analysis by
Eberhart & Russel (1966)
(), ecovalence by
Wricke (1965), genotypic confidence index by Annicchiarico (1992),
Murakami & Cruz's (2004) method ,
stability variance by Shukla (1972) ,
weighted average of absolute scores by Olivoto et al. (2019a)
, and multi-trait stability index by
Olivoto et al. (2019b) .
Non-parametric methods includes superiority index by Lin & Binns
(1988) , nonparametric measures of phenotypic
stability by Huehn (1990)
, TOP third
statistic by Fox et al. (1990) , geometric
adaptability index described by Shahbazi (2019)
. Functions for computing
biometrical analysis such as path analysis, canonical correlation,
partial correlation, clustering analysis, and tools for inspecting,
manipulating, summarizing and plotting typical multi-environment
trial data are also provided.