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Plant Science Today (PST)

Research Articles

Vol. 12 No. 3 (2025)

Genotype × environment interaction and stability analysis of CMS- Based wheat hybrids under terminal heat stress

DOI
https://doi.org/10.14719/pst.7607
Submitted
5 February 2025
Published
12-08-2025 — Updated on 27-08-2025
Versions

Abstract

The current study aimed to ascertain the performance of hybrid wheat under different environmental conditions. Sixteen newly developed CMS-based hybrids were used as the experimental material. Stability for grain yield performance and genotype × environment (G × E) interaction was studied in 16 hybrids made by using line × tester design of hybrid wheat by evaluating them across three temperature regimes viz., 20th November, 30th November and 10th December following randomized block design with twice replications during rabi 2018-19 at Seed Breeding Farm, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.). Genotype × environment interaction was analyzed using Eberhart and Russell's additive main effect and multiplicative interaction (AMMI) model, as well as the genotype and genotype  × environment interaction (GGE) stability model analysis. There was considerable variation in grain yield among both genotypes and environments. The AMMI and GGE biplots explained 83.31 % and 94.7 % of the observed genotypic variation for grain yield, respectively. The hybrid G15 (CMS94 × Res-37) was the most stable across the environments in terms of grain yield. They can be considered potential genotypes for cultivation under terminal heat stress after evaluation in multilocation trials. Hence, the hybrids mentioned above could be used to accelerate wheat improvement programs for different cropping systems.

References

  1. 1. Sharma AK, Mishra CN, Singh BP, Singh SK, Singh GP. Perspective of enhancing wheat production and productivity in Uttar Pradesh by improving the varietal replacement rate. J Cereal Res. 2020;12(1):19–22. https://doi.org/10.25174/
  2. 2582-2675/2020/100826
  3. 2. Asseng S, Foster I, Turner NC. The impact of temperature variability on wheat yields. Glob Chang Biol. 2011;17(2):997–1012. https://doi.org/10.1111/j.1365-2486.2010.02262.x
  4. 3. Bennett D, Izanloo A, Reynolds M, Kuchel H, Langridge P, Schnurbusch T. Genetic dissection of grain yield and physical grain quality in bread wheat (Triticum aestivum L.) under water-limited environments. Theor Appl Genet. 2012;125(2):255–71. https://doi.org/10.1007/s00122-012-1831-9
  5. 4. Yu Q, Li L, Luo Q, Eamus D, Xu S, Chen C, et al. Year patterns of climate impact on wheat yields. Int J Climatol. 2014;34(2):518–28. https://doi.org/10.1002/joc.3704
  6. 5. Cakir R. Effect of water stress at different development stages on vegetative and reproductive growth of corn. Field Crops Res. 2004;89(1):1–16. https://doi.org/10.1016/j.fcr.2004.01.005
  7. 6. Otegui ME, Slafer GA, editors. Increasing cereal yield potential by modifying developmental traits. Proc 4th Int Crop Sci Congr. 2004;26:1–11. https://doi.org/10.1081/E-EPCS-120029758
  8. 7. Singh S, Kundu S, Kumar D, Srinivasan K, Mohan D, Nagarajan S. Wheat. In: Dhillon BS, Saxena S, Agrawal A, Tyagi RK, editors. Plant Genetic Resources: Food Grains. New Delhi: Narosa Publishing House; 2006. p. 58–89.
  9. 8. Khare V, Pandey S, Singh S, Shukla R. Identification of drought-tolerant recombinant inbred lines (RILs) based on selection indices in bread wheat. J Cereal Res. 2022;14(1):44–56. https://doi.org/10.25174/2582-2675/2022
  10. 9. Gauch HG Jr. AMMI analysis on yield trials. CIMMYT Wheat Spec Rep. 1992.
  11. 10. Purchase J, Hatting H, Van Deventer C. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. S Afr J Plant Soil. 2000;17(3):101–07. https://doi.org/10.10
  12. 80/02571862.2000.10634878
  13. 11. Farshadfar E. Incorporation of AMMI stability value and grain yield in a single non-parametric index (GSI) in bread wheat. Pak J Biol Sci. 2008;11(14):1791–96. https://doi.org/10.3923/pjbs.2008.1791.1796
  14. 12. Yan W. GGEbiplot—A Windows application for graphical analysis of multienvironment trial data and other types of two‐way data. Agron J. 2001;93(5):1111–18. https://doi.org/10.2134/agronj2001.9351111x
  15. 13. Gauch HG Jr. Statistical analysis of yield trials by AMMI and GGE. Crop Sci. 2006;46(4):1488–500. https://doi.org/
  16. 10.2135/cropsci2005.07-0193
  17. 14. Yan W, Kang MS, Ma B, Woods S, Cornelius PL. GGE biplot vs. AMMI analysis of genotype‐by‐environment data. Crop Sci. 2007;47(2):643–53. https://doi.org/10.2135/cropsci2006.06.0374
  18. 15. Kumar Bose L, Jambhulkar NN, Pande K, Singh ON. Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under direct-seeded conditions. Chil J Agric Res. 2014;74(1):3–9. https://doi.org/10.4067/S0718-58392014000100001
  19. 16. Shah S, Sahito M, Tunio S, Pirzado A. Genotype-environment interactions and stability analysis of yield and yield attributes of ten contemporary wheat varieties of Pakistan. Sindh Univ Res J Sci Ser. 2009;41(1)13–24.
  20. 17. Amin M, Mohammad T, Khan AJ, Irfaq M, Ali A, Tahir GR. Yield stability of spring wheat (Triticum aestivum L.) in the North West Frontier Province, Pakistan. Songklanakarin J Sci Technol. 2005;27(6):1147–50. https://doi.org/10.379
  21. 92/2021.1201.035
  22. 18. Arya V, Pawar I, Lamba R. Phenotypic stability for yield, its components and quality traits in bread wheat. Natl J Plant Improv. 2004;6:9–13.
  23. 19. Yadav R, Choudhary H. Stability analysis for performance of rainfed bread wheat (Triticum aestivum L.) genotypes. Ann Agric Res. 2004;25:248–52.
  24. 20. Crossa J, Gauch HG Jr, Zobel RW. Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop Sci. 1990;30(3):493–500. https://doi.org/10.2135/cropsci1990.0011183X003000030003x
  25. 21. Zobel RW, Wright MJ, Gauch HG Jr. Statistical analysis of a yield trial. Agron J. 1988;80(3):388–93. https://doi.org/
  26. 10.2134/agronj1988.00021962008000030002x
  27. 22. Kaya MD, Okçu G, Atak M, Cıkılı Y, Kolsarıcı Ö. Seed treatments to overcome salt and drought stress during germination in sunflower (Helianthus annuus L.). Eur J Agron. 2006;24(4):291–95. https://doi.org/10.1016/j.eja.2005.
  28. 08.001
  29. 23. Farshadfar E, Mohammadi R, Aghaee M, Vaisi Z. GGE biplot analysis of genotype x environment interaction in wheat-barley disomic addition lines. Aust J Crop Sci. 2012;6(6):1074–79.
  30. 24. Mohammadi R, Amri A. Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica. 2008;159(3):419–32. https://doi.org/10.1007/s10681-
  31. 007-9600-6
  32. 25. Eskridge KM. Selection of stable cultivars using a safety‐first rule. Crop Sci. 1990;30(2):369–74. https://doi.org/10.
  33. 2135/cropsci1990.0011183X003000020025x
  34. 26. Kang MS. Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agron J. 1993;85(3):754–57. https://doi.org/10.2134/agronj1993.00021962008500030042x
  35. 27. Bajpai P, Prabhakaran V. A new procedure of simultaneous selection for high-yielding and stable crop genotypes. Indian J Genet Plant Breed. 2000;60(2):141–46.
  36. 28. Rao A, Prabhakaran V. Use of AMMI in simultaneous selection of genotypes for yield and stability. 2005;59:76–82. https://doi.org/10.2478/bile-2014-0007
  37. 29. Dehghani H, Ebadi A, Yousefi A. Biplot analysis of genotype by environment interaction for barley yield in Iran. Agron J. 2006;98(2):388–93. https://doi.org/10.2134/agronj2004.0310
  38. 30. Rad MN, Kadir MA, Rafii M, Jaafar HZ, Naghavi M, Ahmadi F. Genotype environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. Aust J Crop Sci. 2013;7(7):956.
  39. 31. Khan A, Kabir M. Evaluation of spring wheat genotypes (Triticum aestivum L.) for heat stress tolerance using different stress tolerance indices. 2014;77(4):160. https://repository.iuls.ro/xmlui/handle/20.500.12811/1762
  40. 32. Lopes MS, El-Basyoni I, Baenziger PS, Singh S, Royo C, Ozbek K, et al. Exploiting genetic diversity from landraces in wheat breeding for adaptation to climate change. J Exp Bot. 2015;66(12):3477–86. https://doi.org/10.1093/jxb/erv122
  41. 33. Qu AL, Ding YF, Jiang Q, Zhu C. Molecular mechanisms of the plant heat stress response. Biochem Biophys Res Commun. 2013;432(2):203–07. https://doi.org/10.1016/j.bbrc.2013.01.104

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