Agronomy (Sep 2024)

Performance and Stability for Grain Yield and Its Components of Some Rice Cultivars under Various Environments

  • Mohamed S. Abd El-Aty,
  • Mahmoud I. Abo-Youssef,
  • Fouad A. Sorour,
  • Mahmoud Salem,
  • Mohamed A. Gomma,
  • Omar M. Ibrahim,
  • Mohammad Yaghoubi Khanghahi,
  • Wahidah H. Al-Qahtani,
  • Mostafa A. Abdel-Maksoud,
  • Amira M. El-Tahan

DOI
https://doi.org/10.3390/agronomy14092137
Journal volume & issue
Vol. 14, no. 9
p. 2137

Abstract

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Refine current agricultural practices considering environmental changes are crucial for finding tolerant rice varieties that can meet the demands of human consumption. To this end, stability analysis assesses a crop genotype’s ability to adapt to various conditions. Therefore, the objective of this study was to (1) examine the interaction between rice genotypes and environmental conditions; (2) evaluate the stability of twelve rice genotypes using various stability methods; (3) identify representative environments for multi-environment testing; and (4) determine superior genotypes for specific environments. The evaluated rice cultivars were Sakha 101, Sakha 104, Sakha 105, Sakha 106, Sakha 107, Sakha 108, Giza 177, Giza 178, Giza 179, Giza 182, Egyptian Yasmine, and Sakha super 300. The experiment followed a strip-plot design, with three replications. The findings revealed significant differences among the rice varieties across various environments for the majority of the assessed characteristics. The joint regression analysis of variance demonstrated highly significant differences among rice cultivars for all the studied traits in terms of genotype-by-environment interaction (G × E). The statistical significance of the interaction between genetic and environmental factors was evident for all variables demonstrating heritable variation among the rice cultivars, specifically Sakha 108, Sakha 104, Giza 177, and Giza 178, concerning grain yield per feddan. These rice cultivars exhibited stability parameters that were not significantly different from unity for the regression coefficient (bi) and from zero for the deviations from regression (S2di) for those traits. Overall, stability criteria are essential for ensuring reliable rice production, meeting human consumption, advancing genetic improvement, and promoting environmental sustainability in agriculture.

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