Use of AMMI model in the analysis of cultivar responses to environments
Jakub Paderewski
jakub_paderewski@sggw.edu.plKatedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)
Wiesław Mądry
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa (Poland)
Abstract
Series of cultivar trials are a key issue in agricultural experimentation. They represent a specific case of two-factorial experiments, where cultivars are one factor and locations are the other one. Multivariate statistical models like AMMI, GGE or JREG are used to describe type of interaction between the factors. The paper is aimed at showing possibilities of application of some statistical models, with particular emphasis put on the AMMI model. Additionally, supplementary cluster analysis is presented. The described statistical methods are a suitable tool in analysis of response of crop cultivars to environmental conditions, based on data from series of trials.
Supporting Agencies
Keywords:
AMMI analysis, cultivar adaptation, genotype by environment interaction, GGE analysis, multiplicative modelsReferences
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Authors
Jakub Paderewskijakub_paderewski@sggw.edu.pl
Katedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland
Authors
Wiesław MądryKatedra Doświadczalnictwa i Bioinformatyki, SGGW, Warszawa Poland
Statistics
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