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Comparison Among Different Stability Models for Yield in Bread Wheat

Comparison Among Different Stability Models for Yield in Bread Wheat

Malak Atiq Ullah Khan1*, Fida Mohammad2, Fahim Ullah Khan3, Sheraz Ahmad2, Mian Ahmad Raza1 and Tariq Kamal

1Department of Agriculture, University of Swabi, Khyber Pakhtunkhwa, Pakistan; 2Department of Plant Breeding and Genetics, The University of Agriculture Peshawar, Khyber Pakhtunkhwa, Pakistan; 3Department of Agriculture, Hazara University Mansehra, Khyber Pakhtunkhwa, Pakistan.  


A critical comparison of stability models is essential to give an insight to breeders for developing relatively stable wheat cultivars. A multi-environment trial (MET) was conducted to assess the pattern of genotype by environment interaction (GEI) effects on yield using multiple stability models viz. Additive Main effect and Multiplicative Interaction (AMMI), GGE biplot analysis and stability parameters. Eighty-one wheat genotypes were evaluated during three consecutive years (2013/14, 2014/15 and 2015/16) across nine environments (sites × year combination) in Khyber Pakhtunkhwa, Pakistan. Graphical stability approaches such as AMMI and GGE provided almost similar results for identifying the high-yielding and stable wheat genotypes. The AMMI analysis identified G-58 and G-79, whereas GGE biplot identidified G-79 as the most stable and high yielding genotype. Numerical stability parameters like Eberhart and Russell’s model and Francis coefficient of variation (CV) declared G-79 as top-ranked genotype while Shukla stability value (σi2) and Wrick’s ecovalence (Wi) identified G-80 (check cultivar Janbaz), G-52 and G-79 as leading wheat genotypes based on grain yield. Spearman’s rank correlation revealed significant positive correlations of AMMI stability value (ASV) with CV, σi2 with Wi, and Wi with CV indicating that these parameters could invariably be used for identifying stable wheat genotypes depending upon the nature of the experiment, breeding material, and the complexity of data. Different stability models identified G-79 as high yielding and stable genotype and thus could be recommended for commercialization in the province of Khyber Pakhtunkhwa, Pakistan. Furthermore, stability parameters can supplement the use of AMMI and GGE biplot analysis to get more credible and reliable scrutiny of wheat genotypes in METs. 


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Sarhad Journal of Agriculture


Vol. 37, Iss. 2, Pages 331-713


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