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Research Articles

Vol. 13 No. sp2 (2026): Recent Advances in Agriculture

Genetic analysis of combining ability, heritability and genetic advance for morphological and biochemical traits in bread wheat (Triticum aestivum L.)

DOI
https://doi.org/10.14719/pst.12261
Submitted
14 October 2025
Published
14-05-2026

Abstract

A total of 15 genetically diverse wheat genotypes (10 lines and 5 testers) and their fifty F1 hybrids were evaluated for 15 traits under normal conditions at the Agricultural Research Farm of Chandra Shekhar Azad University of Agriculture and Technology in Kanpur, India. Analysis of variance showed highly significant mean squares for general combining ability (GCA) and specific combining ability (SCA), indicating both additive and non-additive gene actions. Parental genotypes PBW-343, DBW-39, K-402, K-1317, KRL-210 and K-68 exhibited strong GCA effects, identifying them as good general combiners. Significant positive SCA effects for grain yield were observed in hybrids HD-3086 × HD-3171, K-402 × K-9107, K-1317 × K-9107, HD-2967 × K-0307 and K-402 × K-68, indicating the contribution of non-additive genetic effects in these specific cross combinations. In contrast, moderate to high heritability estimates for plant height (77.32 %), biological yield           (59.52 %) and grain yield (68.76 %), together with moderate genetic advance for harvest index (11.72 %) and grain yield (13.15 %), suggest a substantial additive genetic component. Collectively, these findings indicate that both additive and non-additive gene actions influence yield-related traits, supporting the use of integrated breeding approaches that combine heterosis exploitation with selection-based improvement.

 

References

  1. 1. Anbes T, Asredie S. Effects of lower seed rate and seed classes on seed quality yield and seed multiplication factors of bread wheat (Triticum aestivum L.) under irrigation in the Northwest Amhara region. Discov Agric. 2025;3:30. https://doi.org/10.1007/s44279-025-00178-8
  2. 2. Eze VH, Eze EC, Alaneme GU, BUBU PE, Nnadi EO, Okon MB. Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges and future prospects. Discov Agric. 2025;3:83. https://doi.org/10.1007/s44279-025-00247-y
  3. 3. Mohammadi M, Mirlohi A, Majidi MM, Soleimani Kartalaei E. Emmer wheat as a source for trait improvement in durum wheat: a study of general and specific combining ability. Euphytica. 2021;217:64. https://doi.org/10.1007/s10681-021-02806-4
  4. 4. Fu YB, Somers DJ. Genome-wide reduction of genetic diversity in wheat breeding. Crop Sci. 2009;49:161–8. https://doi.org/10.2135/cropsci2008.03.0125
  5. 5. Bassi FM, Nachit MM. Genetic gain for yield and allelic diversity over 35 years of durum wheat breeding at ICARDA. Crop Breed Genet Genom. 2019;3:1. https://doi.org/10.20900/cbgg20190002
  6. 6. Sarkar S, Barma NC, Ahmed JU, Waza SA, Islam AA. Morpho-physiological characterisation for identification of heat-tolerant wheat genotypes. Discov Agric. 2025;3:74. https://doi.org/10.1007/s44279-025-00223-6
  7. 7. Kamara MM, Ibrahim KM, Mansour E, Kheir AM. Combining ability and gene action controlling grain yield and its related traits in bread wheat under heat stress and normal conditions. Agronomy. 2021;11:1450. https://doi.org/10.3390/agronomy11081450
  8. 8. Hassan MZ, Hasanuzzaman M, Uddin MJ, Alomgir MB, Akter MS, Mohanto AC, et al. Assessing genetic diversity and population structure of F4:F5 wheat genotypes using morphological and microsatellite markers under heat stress. Discov Agric. 2025;3:14. https://doi.org/10.1007/s44279-025-00161-3
  9. 9. Ma H, Liu Y, Zhang S, Sha J, Sun Y, Hu Z, et al. Wheat resistance to Fusarium head blight and breeding strategies. Crop Health. 2025;3:9. https://doi.org/10.1007/s44297-025-00048-1
  10. 10. Lai X, Zhu Z, Zhang Y, Liu Y, Lu T, Qin J, et al. The selection and application of tiller number QTLs in modern wheat breeding. Theor Appl Genet. 2025;138:124. https://doi.org/10.1007/s00122-025-04908-w
  11. 11. Xiong W, Reynolds MP, Montes C, Crossa J, Snapp S, Akin B, et al. New wheat breeding paradigms for a warming climate. Nat Clim Chang. 2024;14:869–75. https://doi.org/10.1038/s41558-024-02069-0
  12. 12. Chowdhary MA, Sajad M, Ashraf MI. Analysis on combining ability of metric traits in bread wheat (Triticum aestivum). J Agric Res. 2007;45:11–7
  13. 13. Zencirci N, Altay F, Baloch FS, Nadeem MA, Ludidi N, editors. Advances in wheat breeding: towards climate resilience and nutrient security. 1st ed. Singapore: Springer Nature Singapore; 2024. https://doi.org/10.1007/978-981-99-9478-6
  14. 14. Karaoğlu C, Salantur A. Recent technologies in wheat breeding. In: Zencirci N, Altay F, Baloch FS, Nadeem MA, Ludidi N, editors. Advances in wheat breeding. Singapore: Springer; 2024. p. 13. https://doi.org/10.1007/978-981-99-9478-6_13
  15. 15. Zhao Y, Han G, Qie Y, Song J, Zi Y, Xiao B, et al. Characterisation of the powdery mildew resistance locus in wheat breeding line Jimai 809 and its breeding application. Mol Breed. 2024;44:28. https://doi.org/10.1007/s11032-024-01467-8
  16. 16. Nannuru VKR, Dieseth JA, Lillemo M. Evaluating genomic selection and speed breeding for Fusarium head blight resistance in wheat using stochastic simulations. Mol Breed. 2025;45:14. https://doi.org/10.1007/s11032-024-01527-z
  17. 17. Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybeans. Agron J. 1955;47:314–8. https://doi.org/10.2134/agronj1955.00021962004700070009x
  18. 18. Ali S, Khan NU, Gul S, Goher R, Naz I, Khan SA, et al. Heterotic effects for yield-related attributes in F1 populations of maize. Pak J Bot. 2019;51:1675–86.https://doi.org/10.30848/PJB2019-5(33)
  19. 19. Zhuang L, Liu H, Hou J, Jian C, Liu Y, Li H, et al. Genetic improvement of important agronomic traits in Chinese wheat breeding over the past 70 years. BMC Plant Biol. 2024;24:1151. https://doi.org/10.1186/s12870-024-05841-8
  20. 20. Sprague GH, Tatum LA. General versus specific combining ability in single crosses in corn. J Am Soc Agron. 1942;30:923–32. https://doi.org/10.2134/agronj1942.00021962003400100008x
  21. 21. Robinson HF, Comstock RE, Harvey PH. Estimate of heritability and degree of dominance in corn. Agron J. 1949;41:353–9. https://doi.org/10.2134/agronj1949.00021962004100080005x
  22. 22. Gimenez K, Blanc P, Argillier O, Pierre JB, Le Gouis J, Paux E, et al. Dissecting bread wheat heterosis through the integration of agronomic and physiological traits. Biology (Basel). 2021;10:907. https://doi.org/10.3390/biology10090907
  23. 23. Omara RI, Shahin AA, Ahmed SM, Mostafa YS, Alamri SA, Hashem M, et al. Wheat resistance to stripe and leaf rusts conferred by introgression of slow rusting resistance genes. J Fungi (Basel). 2021;7:622. https://doi.org/10.3390/jof7080622
  24. 24. Elango D, Sandoya G, Chopra S. Techniques and tools of modern plant breeding. In: Plant biotechnology: experience and future prospects. 2021. p. 17–26. https://doi.org/10.1007/978-3-030-68345-0_2
  25. 25. Abbass DM, Al-Layla MG, Al-Hamdani ZB. Estimation of heritability and expected genetic improvement in durum wheat (Triticum durum Desf.). J Univ Shanghai Sci Technol. 2020;22:2192–200.
  26. 26. Hassan G, Mohammad F, Afridi SS, Khalil IH. Combining ability in the F1 generations of diallel cross for yield and yield components in wheat. Sarhad J Agric. 2007;23:937–44.
  27. 27. Valério IP, de Carvalho FI, de Oliveira AC. Combining ability of wheat genotypes in two models of diallel analyses. Crop Breed Appl Biotechnol. 2009;9:1–7. https://doi.org/10.12702/1984-7033.v09n02a01
  28. 28. Mia MS, Liu H, Wang X, Lu Z, Yan G. Response of wheat to post-anthesis water stress and the nature of gene action as revealed by combining ability analysis. Crop Pasture Sci. 2017;68:534–43. https://doi.org/10.1071/CP17112
  29. 29. Griffing B. Concept of general and specific combining ability in relation to diallel crossing systems. Aust J Biol Sci. 1956;9:463–93. https://doi.org/10.1071/BI9560463
  30. 30. Fasahat P, Rajabi A, Rad JM, Derera J. Principles and utilisation of combining ability in plant breeding. Biom Biostat Int J. 2016;4:1–24. https://doi.org/10.15406/bbij.2016.04.00085
  31. 31. Fellahi ZE, Hannachi A, Bouzerzour H, Boutekrabt A. Line × tester mating design analysis for grain yield and yield-related traits in bread wheat (Triticum aestivum L.). Int J Agron. 2013;2013:1–8. https://doi.org/10.1155/2013/201851
  32. 32. Ahmad E, Akhtar M, Badoni S, Jaiswal JP. Combining ability studies for seed yield related attributes and quality parameters in bread wheat (Triticum aestivum L.). J Genet Genom Plant Breed. 2017;1:21–27.
  33. 33. Hama-Amin TN, Towfiq SI. Estimation of some genetic parameters using line × tester analysis of common wheat (Triticum aestivum L.). Appl Ecol Environ Res. 2019;17:9735–52. https://doi.org/10.15666/aeer/1704_97359752
  34. 34. Mwadzingeni L, Shimelis H, Tsilo TJ. Combining ability and gene action controlling yield and yield components in bread wheat (Triticum aestivum L.) under drought-stressed and non-stressed conditions. Plant Breed. 2018;137:502–13. https://doi.org/10.1111/pbr.12609
  35. 35. Akram Z, Ajmal SU, Khan KS, Qureshi R, Zubair M. Combining ability estimates of some yield and quality related traits in spring wheat (Triticum aestivum L.). Pak J Bot. 2011;43:221–31.
  36. 36. Delaney A. Investigating parental effects on end-use quality in hard winter wheat (Triticum aestivum L.) hybrids [dissertation]. Lincoln (NE): University of Nebraska–Lincoln; 2019. 118 p. https://digitalcommons.unl.edu/agronhortdiss/169
  37. 37. Khan SA, Hassan G. Heritability and correlation studies of yield and yield-related traits in bread wheat. Sarhad J Agric. 2017;33:103–7. https://doi.org/10.17582/journal.sja/2017.33.1.103.107
  38. 38. Hulle A, Dubey N, Avinashe H, Reddy JP, Chormule S, Sachan S. PCA-based multivariate statistical diversity analysis for grain yield and its components in wheat (Triticum aestivum L.). Ann Biol. 2023;39(2):386–91.
  39. 39. Sewore BM, Abe A. Genetic variability and trait associations in bread wheat (Triticum aestivum L.) genotypes under drought-stressed and well-watered conditions. CABI Agric Biosci. 2024;5:64. https://doi.org/10.1186/s43170-024-00259-6
  40. 40. KC B, Pandit R, Maharjan B, Adhikari NR, Poudel MR, Thapa DB, et al. Genetic parameters, correlation and multivariate analysis of yield and yield components in 30 promising wheat (Triticum aestivum L.) genotypes. Int J Agron. 2025;2025:3774228. https://doi.org/10.1155/2025/3774228
  41. 41. Bartaula S, Panthi U, Timilsena K, Acharya SS, Shrestha J. Variability, heritability and genetic advance of maize (Zea mays L.) genotypes. Res Agric Livest Fish. 2019;6(2):163–9. https://doi.org/10.3329/ralf.v6i2.42962
  42. 42. Tiwari DN, Tripathi SR, Tripathi MP, Khatri N, Bastola BR. Genetic variability and correlation coefficients of major traits in early maturing rice under rainfed lowland environments of Nepal. Adv Agric. 2019;2019:5975901. https://doi.org/10.1155/2019/5975901
  43. 43. Reddy BR, Reddy DS, Reddaiah K, Sunil N. Studies on genetic variability, heritability and genetic advance for yield and quality traits in tomato (Solanum lycopersicum L.). Int J Curr Microbiol Appl Sci. 2013;2(9):238–44.
  44. 44. Regmi S, Poudel B, Ojha BR, Kharel R, Joshi P, Khanal S, et al. Estimation of genetic parameters of different wheat genotype traits in Chitwan, Nepal. Int J Agron. 2021;2021:6651325. https://doi.org/10.1155/2021/6651325

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