Stability analysis of different Wheat (Triticum aestivum L.) varieties using AMMI and GGE biplot under Heat drought and Irrigated environment

Abstract

Abstract Wheat a widely grown cereal crop, which accounts for about 30 percent of the world grain output and affects the half of the land cultivated with wheat. Drought has a robust impact which affect 40 percent of wheat production and crop response, and other factor like plant growth, productivity, pigments contents, leaf senescence, fertility of spike, water relations and also photosynthetic activities. Low yield can be attributed to the planting time and varietal selection. To meet the need for food grains, high yielding genotypes resistant to diverse biotic and abiotic stress must be established and well performed genotypes are selected using multiplicative trails. So, the main objective of the study is to find the most stable, high yielding and adaptive genotype through genotype-environment interaction. The data were interpreted using AMMI (Additive Main Effect and Multiplicative Interaction) and GGE biplots. The experiment was conducted on twenty wheat genotypes in alpha lattice design on irrigated and heat drought environment. AMMI model showed that the grain yield is significantly affected by environment and 83.03%, 8.24%, 8.73% is attributed to environment, genotype and environment*genotype interaction. According to AMMI model, NL 1384 is the high yielding genotype in irrigated environment and NL 1179 under heat drought. NL 1346 is the winning elite line of drought environment and NL 1384 is the winning elite line for this environment as per GGE biplot analysis. Mean versus stability showed that NL 1384 is the highest mean yielding genotype and ranking genotype revealed NL 1420 is the ideal genotype.