Application of GGE biplot analysis to investigate GE interaction on barley grain yield

Mohtasham Mohammadi, Abbas Ali Noorinia, Gholam Reza Khalilzadeh, Tahmaseb Hosseinpoor


Identification of phenotypic stability is prerequisites for improvement of plant adaptation and GGE biplot analysis has been used for studying genotype environment (GE) interaction in multi-environmental trials of barley. This research was carried out to determine stability of the grain yields of 16 barley genotypes (2 cultivars, 14 advanced lines) across four environments in three growing seasons. The experimental layout in all trials was a randomized complete block design with four replications. Combined analysis of variance indicated that the effects of environments, genotypes and GE interaction were highly significant (P < 0.01). The first two principle component axes (PC1 and PC2) of site regression model were significant (P < 0.01) and cumulatively contributed to 77% of the total GE interaction. In the average tester coordinate (ATC) biplot, genotypes with above average were selected (G1, G2 and G6), whereas most of the remained genotypes were discarded. In the polygon view of biplot, there are five rays which divide the biplot into five sectors, and the locations fall into two of them. Locations Gonbad and Khoramabad fell into sector 1 and the vertex genotype for this sector was G2, locations Gachsaran and Moghan fell into sector 2 and the vertex genotype for this sector was G1. Finally, genotypes G1, G2 and G9 were found to be the most stable genotype as well as high mean yield performance and so are recommended for commercial release in semi-arid areas of Iran. Also, the GGE model was found to be useful in detecting the yield stability of the genotypes studied.

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