*Corresponding author: verma.dwr@gmail.com (ORCID ID: 0000-0001-9255-6134)
The biplot analyses methods of AMMI & GGE were applied to analyze multi-environment trials data for advanced wheat genotypes evaluated under northern eastern plains zone of the country. The combined analysis of variance showed that the interaction effect of genotypes with environment accounted for 57.3% of total variation. Genotypes PBW 693 and NW 5054 with mean yields greater than the overall mean and low IPC1 scores had a high combination of yield and stability performances. Based on the angles between environment vectors, the Patna, Coochbehar and Ranchi, Malda as well as Shillongani, Jalalgarh separated in a three groups highly correlated among themselves. The vertex genotypes in GGE biplot study were HD 3128, K 0307, NW 5054, HD 2733 and UP 2855 as these genotypes were farthest from the origin of the biplot.
Highly significant environment effect accounted for 75.4% of total sum of squares (TSS). G×E accounted for 16.5% of TSS and was about fifteen times the G effect. IPC1 contributed 29.54% of G×E interaction. PBW 693and NW 5054 expressed yields greater than overall mean accompanied low IPC1 scores desirable combination of yield and stability performances. Environments Patna, Coochbehar and Ranchi, Malda as well as Shillongani, Jalalgarh separated in a three groups shoed high correlation among themselves. Obtuse angles of environments Varanasi with IARI Pusa, Kalyani with Shillongani and Patna with Ranchi indicated a negative correlation.
Biplot analysis, AMMI, GGE, stability estimates
