Sustainability on Different Canola (Brassica napus L.) Cultivars by GGE Biplot Graphical Technique in Multi-Environment

Knowledge about the extent of genotype in environment interaction is helpful for farmers and plant breeders. This because it helps them choose proper strategies agricultural management breeding new cultivars. The main contribution this paper to investigate on environmental using GGE biplot method (Genotype Genotype-by-Environment) ten canola experimental design was a randomized complete block (RCBD) with three replications assess stability grain yield cultivars five regions Iran, including Birjand, Karaj, Kashmar, Sanandaj, Shiraz, within two years 2016 2017. results combined ANOVA illustrated that effects environment, × were highly significant at 1%. Variance Analysis showed impacts, genotype, effect, produced 68.44%, 18.63%, 12.9% total variance. graphs constructed PCA. first principle component (PC1) explained 65.3%, second (PC2) 18.8% variation. research examined polygon diagrams identify top genotypes four mega-environments. Also, appropriate each diagnosed. Using biplot, possible make visual comparisons superior canola. Accordingly,. obtained from graphical analysis indicated Licord, Hyola 401 Okapi highest selected as most stable genotypes. Karaj region chosen where screening very suitable. Based ranking suitable (Karaj), desired genotype. In examining heatmap drawn between investigated environments, lot similarity Sarigal, observed environments. enabled detection environments grouping based yield. can be used both extension future programs. Our provide information