Comparative Assessment of AMMI, BLUP, and WAASB Models for Identifying Stable Wheat Genotypes across Diverse Agroclimatic Conditions in Pakistan

Author(s) : Muhammad Zeeshan, Saba Aleem, Muhammad Imran Khan, Waheed Arshad, Muqadas Aleem, Rehmat Ullah, Muhammad Saqib, Ghulam Nabi, Saadia, Muhammad Rizwan

Digital object identifier:

https://doi.org/10.52587/JAF060110

Abstract:

The interaction between genotype and environment (GEI) complicates the identification of stable, high-yielding genotypes in multi-environment trials. This study evaluates three statistical methods—AMMI, BLUP, and WAASB—to identify stable wheat genotypes. AMMI and WAASB consistently identified genotypes with superior mean yield and phenotypic stability, with G2 showing the highest yield and remarkable stability across environments. BLUP stability indices identified G1 as a stable and high-yielding variety. AMMI also helped identify "which-won-where" genotypes and mega-environments with discriminating powers useful for genotype evaluation. BLUP provided insights into genetic parameters and heritability, while WAASB was effective in clustering genotypes based on yield and stability. These methods offer valuable tools for selecting stable wheat genotypes suitable for diverse environments.