Interpretation of Genotype-by-Environment Interaction for Late Maize Hybrids’ Grain Yield Using a Biplot Method

Authors : Hamid DEHGHANI, Naser SABAGHNIA, Mohammad MOGHADDAM

Pages : 139-148

View : 19 | Download : 10

Publication Date : 2009-04-01

Article Type : Research Paper

Abstract :The stability of grain yield of 11 late maize hybrids with a check cultivar were studied in a randomized complete block design with 4 replications for 2 years at 11 sites in multi-environment trials in Iran. The obtained data were analyzed with a GGE [genotype + insert ignore into journalissuearticles values(genotype × environment interaction);] biplot method. The first 2 principal components insert ignore into journalissuearticles values(PC1 and PC2); were used to create a 2-dimensional GGEbiplot and explained 44% and 27% of GGE sum of squares insert ignore into journalissuearticles values(SS);, respectively. Ranking of the genotypes based on the ideal genotype revealed that grain yields of G2, G3, and G12 were higher together with being more stable. Ranking of environments for the ideal environment showed that site Rasht insert ignore into journalissuearticles values(RAS); was the most discriminating, whereas site Hamedan insert ignore into journalissuearticles values(HAM); was the most representative. There were 5 winning genotypes and 3 mega-environments in our study. The GGE biplot suggests 3 late maize mega-environments in Iran: a minor mega-environment insert ignore into journalissuearticles values(northern Iran consisting of Rasht and Ghaemshahr);, an average one insert ignore into journalissuearticles values(southern and central Iran consisting of Shiraz insert ignore into journalissuearticles values(SHI); and Esfahan insert ignore into journalissuearticles values(ESF););, and a major one insert ignore into journalissuearticles values(western and central Iran consisting of Arak insert ignore into journalissuearticles values(ARA);, HAM, Karaj insert ignore into journalissuearticles values(KAR);, Kermanshah insert ignore into journalissuearticles values(KER);, Khoramabad insert ignore into journalissuearticles values(KHO);, Varamin insert ignore into journalissuearticles values(VAR);, and Sanandaj insert ignore into journalissuearticles values(SAN););. As a result, the findings from our study are as follows: insert ignore into journalissuearticles values(1); genotype G2 was the most stable and is thus recommended for commercial release in Iran; insert ignore into journalissuearticles values(2); the GGEbiplot method can be used to identify superior genotypes for target sites in Iran and sites in other parts of the world.
Keywords : Multi environmental trials, GGEbiplot, maize Zea mays L,