Usefulness of statistical methods and measures for evaluating cultivar stability and adaptation: an overview of research
Wiesław Mądry
wieslaw_madry@sggw.ed.plKatedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie (Poland)
Marzena Iwańska
Katedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie (Poland)
Abstract
In the paper results of the newest studies on using statistical methods to analysis and interpretation of genotype x environment interaction (GEI) on the basis of multi-environment trials (MET) are presented. The methods presented here facilitate to evaluate stability and adaptability of tested cultivars for yield and other quantitative traits. Both univariate and multivariate methods are considered. The set of the discussed multivariate methods includes mostly those which are based on singular value decomposition of respective GE data matrix, e.g. the additive main effects and multiplicative interaction (AMMI) model-based analysis, the genotype main effects and genotype × environment interaction effects (GGE) model-based analysis as well as combined cluster and AMMI or GGE analyses called usually pattern analyses. Also, methods involving simple measures of cultivar stability and wide adaptability are overviewed. The all considered methods are addressed to plant breeders and cultivar evaluators who could and should use them in wider scale to improve reliability of testing new germplasm in order to implement effectively genetic gain to agricultural practice in Poland.
Supporting Agencies
Keywords:
AMMI analysis, cluster analysis, cultivar adaptation, GGE analysisReferences
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Authors
Wiesław Mądrywieslaw_madry@sggw.ed.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie Poland
Authors
Marzena IwańskaKatedra Doświadczalnictwa i Bioinformatyki, SGGW w Warszawie Poland
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