GGE Bi-plot analysis in castor (Riccinus communis L.) for vidarbha region of Maharashtra state

Abstract

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.