Document Type : Original Article
Authors
1
Agronomy Department, Faculty of Agriculture, Minia University, El-Minia, 61517, Egypt
2
Agronomy Department, Faculty of Agriculture, Al-Azhar University, Cairo 11884, Egypt
Abstract
Using univariate and multivariate stability statistics, the current study attempts to evaluate the 27 cotton genotypes that are stable and adaptive under normal irrigation and drought stress conditions. The combined ANOVA and AMMI model study of seed cotton yield (SCY) showed that the G × E interaction is the largest factor and that there was significant variation among genotypes, environment, and GEI. PC1, PC2, and PC3 were also highly significant. In the 2023 and 2024 seasons, the grand mean of SCY was reduced by drought stress, with values of 2.12% and 6.19%, respectively, compared to normal irrigation. G17 and G18 genotypes with highest SCY by Yi, bi, S2di, W2i, D2, δ2i and CVi statistics and G4, G27, and G26 genotypes with the high to moderate SCY by ASTAB, ASI, ASV, MASI, MASV, Za, and WAAS statistics were most stable genotypes. For rW2i, rS2di, rD2, rδ2i and rCVi statistics, as well as for AMMI-based stability statistics under study, all possible pairs had positive significant rank correlation coefficients. The genotypes G17, G12, G8, and G20 by the AMMI model and the genotypes G17, G23, G18, G9, and G4 by GGE biplot analysis are more stable and produce higher mean SCY. Based on the mean response and most stability statistics, the genotypes G17, G18, and G4 were determined to be the most stable and optimal. The test environment E4 was thought to be the most discriminating test environment, making it ideal for choosing genotypes that are widely acclimated to drought stress in Egypt.
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