Deciphering Genotype×Environment Interaction by AMMI and GGE Biplot Analysis Among Elite Wheat (Triticum aestivum L.) Genotypes of Himalayan Region

Year 2022, Volume: 8 Issue: 1, 41 - 52, 30.01.2022

Adil Naık Shabir Hussain Wanı Sumira Rafıqee Mehrajuddin Sofı Najeebul Rehman Sofı Asif Bashir Shıkarı Ashaq Hussaın Fayaz Mohıddın Intikhab Aalum Jehangır Gazala Hassan Khan Muneer Ahmed Sofı Farooq Ahmed Sheıkh Mohammad Ashraf Bhat Mohammad Nisar Khan Zahoor Ahmed Dar Mehdi Rahımı

Abstract

To determine yield stability and the effects of the interaction between the genotype and the environment, 101 wheat
genotypes were assessed over 2 years (2018-2020). The experiments were performed at different diverse locations in
Kashmir traversing a significant altitudinal range viz. Khudwani (34.38°N of latitude and 77.0°E of longitude) and Wadura
(34.52°N of latitude and 74.52°E of longitude) following recommended agronomical practices. Analysis of the main additive
effect and multiplicative interaction (AMMI) of the seed yield variance revealed a significant genotype, environmental
and genotype × environment interaction effect at p< 0.01% probability level. Three main principal components based
on AMMI explained most of the variation due to genotype × environment interaction at p<0.01% probability level. The
GGE biplot indicated that two mega-environments were present. The first section (large environment) contains the KH18
and WA18 test environments with genotypes G2, G38, and G16 with the highest yield (winner), the second section (large
environment) contains KH19 and genotypes G28, G19 and G3, KH19 and WA18 WA19 environment included. as a winner.
Plots of mean versus stability show that the genotypes exhibiting both high mean yield and stability scores at the test sites
are G2, G50, G26, G80, and G1. Hence, the above identified genotypes with superior yield and other desirable attributes
can be recommended as generally adapted or niche specific genotypes for broad and specific areas, respectively.

Keywords

Wheat germplasm, biplot, wheat yield stability, principal component, wheat screening, Wheat germplasm, biplot, wheat yield stability, principal component, wheat screening

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