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.