Environment effects explained 78% & 66.8%, GxE interaction accounted for 5.9% & 15.4 and genotypes explained only 2.4% & 4.0 % of sum of squares during 2018-19 and 2019-20 respectively. More than 98% of variations had been accounted for by three interaction principal components for the first year. Ranking of genotypes had altered with the utilization of the number of IPCA’s for AMMI-based and WAASB measures. Superiority indexes as per arithmetic, geometric, and the harmonic mean as well adaptability measures had identified HS562, HS652, VL907 genotypes. Graphical analysis utilized 83.7% variations accounted by PC1 & PC2’s observed deviation of Adaptability measures from others and maintained the right angle with MASV1 and stability measures. Cluster of Superiority indexes was placed in the quadrant of adaptability measures. Wheat genotypes HPW349, VL907, HS507 selected by Superiority indexes and adaptability measures the second year of study. Biplot considered 85.1% of variability accounted by two PC’s. Cluster of Adaptability measures was placed in a seperate quadrant. However, this group maintained nearly the right angle with stability measures. Superiority indexes as per averages of the yield of wheat genotypes were clustered in the quadrant.
AMMI model, MASV, WAASB, SI, SSI, Graphical analysis
Cite this paper
Ajay Verma, GP Singh. (2020) Wheat genotypes evaluated for Stability, adaptability analysis for Northern Hills by AMMI & BLUP Tools. International Journal of Agricultural Science, 5, 187-193
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