GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate
نویسندگان
چکیده
منابع مشابه
Graphical Analysis of Multi-Environment Trials for Barley Yield Using AMMI and GGE-Biplot Under Rain-Fed Conditions
The AMMI and SREG GGE are among the models that effectively capture the additive and multiplicative components of genotype × environment interaction (GEI) and provide meaningful interpretation of multi-environment trials’ data set in the breeding programs. The objective of this study was to assess the effect of GEI on grain yield of barely advanced lines and exploit the positive GEI effect us...
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In the studies on selection and population genetics of forest trees that include the analysis of genotype × environment interaction (GE), the use of biplot graphs is relatively rare. This article describes the models and analytic methods useful in the biplot graphs, which enable the analyses of mega-environments, selection of the testing environment, as well as the evaluation of genotype stabil...
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The additive main effects and multiplicative interaction (AMMI) and the genotype main effects and genotype x environment interaction (GGE) models stand out among the linear-bilinear models used in genotype x environment interaction studies. Despite the advantages of their use to describe genotype x environment (AMMI) or genotype and genotype x environment (GGE) interactions, these methods have ...
متن کاملgraphical analysis of multi-environment trials for barley yield using ammi and gge-biplot under rain-fed conditions
the ammi and sreg gge are among the models that effectively capture the additive and multiplicative components of genotype × environment interaction (gei) and provide meaningful interpretation of multi-environment trials’ data set in the breeding programs. the objective of this study was to assess the effect of gei on grain yield of barely advanced lines and exploit the positive gei effect us...
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ژورنال
عنوان ژورنال: Chilean journal of agricultural research
سال: 2016
ISSN: 0718-5839
DOI: 10.4067/s0718-58392016000200003