PJB-2021-28
Evaluation of upland cotton genotypes for stability over different locations using AMMI and GGE biplot analysis
Saifullah Abro, Muhammad Rizwan, Muhammad Tahir Rajput, Mahboob Ali Sial and Zaheer Ahmed Deho
Abstract
Exploration of consistently high performing genotypes of cotton is important for sustainable production in major cotton growing areas of Sindh, Pakistan. In present study fifteen cotton genotypes were evaluated against three check varieties CRIS-342, CIM-496 and CRIS-134 over two years (2016, 2017). These genotypes were evaluated in advance line yield trial at five different locations. Two-way ANOVA was performed to find variation in genotypes and environments. Data were analyzed using AMMI analysis for residual multiplicative interaction. The genotypes stability was estimated by measuring different parameters like IPCA score, AMMI stability value (ASV), yield sustainability index (YSI) and genotype selection index (GSI). Genotypes and multi-locations provided an opportunity to find the best genotypes in the best environment on the basis of yield performance.The genotypes G3 (NIA-83), G13 (NIA-Bt-2) and G15 (Sadori) were found as high yielding with very high stability as compared to check varieties. Hence, recommended across the studied environments. Another genotype G2 (NIA-81) was more stable and can be used as breeding material in cotton breeding program for sustainable cotton production in diverse environments/areas of Sindh province, Pakistan
To Cite this article:
Abro, S., M. Rizwan, M.T. Rajput, M.A. Sial and Z.A. Deho. 2022. Evaluation of upland cotton genotypes for stability over different locations using AMMI and GGE biplot analysis. Pak. J. Bot., 54(5): DOI: http://dx.doi.org/10.30848/PJB2022-5(1)
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