Pattern analysis of genotype and year interaction for grain yield in mutant lines of rice (Oryza sativa L.) using AMMI multivariate method

Document Type : Research Paper


1 Assistant Professor, Rice Research Institute of Iran, Agricultural Research Education and Extension Organization (AREEO), Rasht, Iran

2 Researcher, Rice Research Institute of Iran, Agricultural Research Education and Extension Organization (AREEO), Rasht, Iran

3 Assistant Professor, Sugar Beet Research Department, West Azarbaijan Agricultural and Natural Resources Research Center, AREEO, Urmia, Iran


The existence of genotype × environment interaction necessiate the assessment of genotypes yields in wide range of environmental conditions, so that obtained information could increase their selection and introduction efficiency. In this study to determine the yield stability and analysis of genotype × environment interaction pattern, 66 mutant lines of rice with 5 check cultivars were evaluated using a randomized block design with three replications for three years (2012-2014). Analysis of additive main effects (analysis of variance) and multiplicative interaction effects (principal components analysis) revealed that the effects of genotype, year, and interaction between of them were highly significant. Total interaction effect was divided into one significant interaction principal component at 5% probability level and residual (noise) via AMMI model. The first principal component explained 57.57% of the total variation. Biplot of the first principal component and mean yields (AMMI1 model) for evaluated genotypes and environments (years) revealed that high yielding genotypes of G7, G41 and G69 with the least genotype × environment interaction effect were more stable genotypes and G63, G20 and G33 with yield lower than average recognized as unstable genotypes.


Main Subjects

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Volume 47, Issue 4 - Serial Number 4
February 2017
Pages 565-573
  • Receive Date: 09 November 2015
  • Revise Date: 13 December 2015
  • Accept Date: 14 February 2016
  • Publish Date: 19 February 2017