Comparison Among different Stability Models for Yield in Bread Wheat

Malak Atiq Ullah Khan; Fida Mohammad; Fahim Ullah Khan; Sheraz Ahmad; Mian Ahmad Raza; Tariq Kamal

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Comparison Among different Stability Models for Yield in Bread Wheat

Author(s)

Malak Atiq Ullah Khan Department of Agriculture, University of Swabi,Khyber Pakhtunkhwa,Pakistan

Fida Mohammad Department of Plant Breeding and Genetics, hTe University of Agriculture Peshawar,Khyber Pakhtunkhwa,Pakistan

Fahim Ullah Khan Department of Agriculture, Hazara University Mansehra,Khyber Pakhtunkhwa,Pakistan

Sheraz Ahmad Department of Plant Breeding and Genetics, hTe University of Agriculture Peshawar,Khyber Pakhtunkhwa,Pakistan

Mian Ahmad Raza Department of Agriculture, University of Swabi,Khyber Pakhtunkhwa,Pakistan

Tariq Kamal Department of Agriculture, University of Swabi,Khyber Pakhtunkhwa,Pakistan

Abstract

| 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 coeficient of variation (CV ) declared G-79 as top-ranked genotype while Shukla stability value (si2) 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, si2 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.

Publication Details

Page(s) 282-290

DOI DOI not available

Published Journal: Sarhad Journal of Agriculture, Volume: 36, Issue: 1, Year: 2020

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Keywords

GGE biplot, AMMI analysis, Stability parameters