GGE bipot analysis of genotype x environment interaction in rice (oryza sativa l.) genotypes in Bangladesh
Journal Title: Scientia Agriculturae - Year 2015, Vol 12, Issue 1
Abstract
The GGE genotype main effect (G) and genotype by environment interaction (GE) biplot graphical tool was applied to analyze multi-environment trials (MET) data. The first two principal components (IPC1 and IPC2) were used to create a two-dimensional GGE biplot that accounted percentages of 49.4% and 39.1% respectively of sums of squares of the GE interaction. The combined ANOVA analysis for grain yield data indicated that the differences among all sources of variation were highly significant (P<0.01). Environment (E), Genotype (G) and G x E interaction effects accounted for 23.60, 16.27 and 24.89% of the total sum of squares, respectively. The GGE biplot suggested the existence of two rice mega-environments with wining genotypes G2 and G4. According to the ideal-genotype biplot, genotype G4 was the better genotype demonstrating high mean yield and high stability of performance across test locations. The average tester coordinate view indicated that genotype G1 had the highest average yield, and genotype G4 recorded the best stability. Among the six environments, E6 and E4 were most discriminating (informative) and E1 and E3 were most representative. The G4 is adaptable for a wide range of environments of Bangladesh.
Authors and Affiliations
Hasina Khatun, Rafiqul Islam, Mohammad Anisuzzaman, Helal Uddin Ahmed, Maksudul Haque
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