Multi-Environment Trial Analysis of Food Barley in Ethiopia Using AMMI and GGE Biplot Methods
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 final phases of new soybean cultivar development, lines are cultivated in several locations across multiple seasons with the intention of identifying and selecting superior genotypes for quantitative traits. In this context, this study aimed to study the genotype-by-environment interaction for the trait grain yield (kg/ha), and to evaluate the adaptability and stability of early-cycle so...
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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We evaluated the phenotypic and genotypic stability and adaptability of hybrids using the additive main effect and multiplicative interaction (AMMI) and genotype x genotype-environment interaction (GGE) biplot models. Starting with 10 single-cross hybrids, a complete diallel was done, resulting in 45 double-cross hybrids that were appraised in 15 locations in Southeast, Center-West and Northeas...
متن کاملBiplot analysis of multi-environment trial data: Principles and applications
Yan, W. et Tinker, N. A. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623–645. Biplot analysis has evolved into an important statistical tool in plant breeding and agricultural research. Here we review the basic principles of biplot analysis and recent developments in its application in analyzing multi-environment trail (MET) data, w...
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ژورنال
عنوان ژورنال: Journal of Plant Breeding and Genetics
سال: 2018
ISSN: 2305-297X,2308-121X
DOI: 10.33687/pbg.006.03.2579