GGE Bi-plot analysis in castor (Riccinus communis L.) for vidarbha region of Maharashtra state
The present study was undertaken to explore the effect of genotype (G) and genotype × environment interaction (GEI) on yield of 10 castor varieties evaluated during three growing seasons (2010-2013). Yield data were analyzed using GGE biplot method. According to the results of combined analysis of variance, genotype × environment interaction was highly significant at 1% probability level, where G and GEI captured 68% of total variability. The first two principal components (PC1 and PC2) explained 98% of the total GGE variation, with PC1 and PC2 explaining 94.9% and 3.1% respectively. The first mega environment comprised of environments E1 and E3 with the hybrid DCH 519 being the winner; the second mega environment consisted of environment E2 with the hybrid GCH 7 being the winner. Mean performance and stability of genotypes indicated that the hybrid GCH 7 was highly stable with high yield.
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