ASSESSMENT OF GENETIC VARIABILITY FOR YIELD AND YIELD RELATED TRAITS IN WHEAT


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Authors

  • GADDAM TARUN Department of Genetics and Plant Breeding Guru Kashi University, Talwandi Sabo,Punjab, India
  • KRISHAN PAL Department of Genetics and Plant Breeding Guru Kashi University, Talwandi Sabo,Punjab, India
  • KAVITA RANI Department of Genetics and Plant Breeding Guru Kashi University, Talwandi Sabo,Punjab, India.
  • R. P. SAHARAN Department of Genetics and Plant Breeding Guru Kashi University, Talwandi Sabo,Punjab, India.

https://doi.org/10.58537/jorangrau.2025.53.2.03

Keywords:

Genetic advance, Heritability, Variance, Wheat Yield

Abstract

 A field study was undertaken at Guru Kashi University, Talwandi Sabo in Bathinda (Punjab) throughout the Rabi season of 2023–2024 to evaluate the genetic variability of 43 wheat genotypes  for yield and yield associated characteristics. The experiment used a Randomized Block Design with three replications. Analysis of variance showed considerable variation in all traits except flag  leaf width, confirming significant genetic diversity among the genotypes. The maximum genotypic  and phenotypic coefficient of variation (GCV and PCV) were noted for each plant’s biological  yield (GCV: 36.03%, PCV: 39.86%), grain weight per spike (GCV: 29.78%, PCV: 30.18%), and  grains per spike (GCV: 22.01%, PCV: 22.23%), indicating their potential for selection. High heritability (>80%) combined with a high genetic advance (>30%)for grains per spike, expressed  as a percentage of the mean (heritability: 98.01%, genetic advance: 44.88%), grain weight per spike (heritability: 97.38%, genetic advance: 60.54%), and biological yield per plant (heritability: 81.71%, genetic advance: 67.09%), suggesting these characteristics were mostly controlled by additive genetic effects and could be effectively improved through selection. Traits such as days to flowering (heritability: 87.37%, genetic advance: 8.14%), days to maturity (heritability: 90.97%, genetic advance: 3.58%), and plant height (heritability: 72.87%, genetic advance: 12.77%) displayed high heritability with moderate genetic advance, indicating the impact of both additive  and non-additive gene effects.In contrast, traits like tillers per plant (heritability:17.57%) and flag  leaf area(heritability: 21.27%) showed low heritability and genetic advance, implying strong  environmental influence and limited potential for direct selection. This study found significant genetic variability within the wheat genotypes, with key yield-related traits showing strong potential  for genetic improvement.

References

1. Ahmed, H.G.M.D., Sajjad, M., Li, M., Azmat,

2. M.A., Rizwan, M., Maqsood, R.H. and

3. Khan, S.H. 2019. Selection criteria for

4. drought-tolerant bread wheat genotypes

5. at seedling stage. Sustainability, MDPI,

6. 11: 2584-2589.

7. Arya, V., Singh, J., Kumar, L., Kumar, R. and

8. Kumar, P. 2017. Genetic variability and

9. diversity analysis for yield and its

10. components in wheat (Triticum aestivum

11. L.). Indian Journal of Agricultural

12. Research, 51(2): 128-134.

13. Bapela, T., Shimelis, H., Tislo, T.J. and Mathew,

14. I. 2022. Genetic improvement of Wheat

15. for drought tolerance: Progress,

16. Challenges and Opportunities. Plants

17. MDPI, 11(10):1331.

18. DES. 2023. First advance estimates of

19. production of food grains for 2022- 23,

20. DES, FAC, FW Dhaliwal, S.S., Sharma, V., Shukla, A.K.,

21. Behera, S.K., Verma, V., Kaur, M., Singh,

22. P., Alamri, S., Skalicky, M. and Hossain,

23. A. 2023. Biofortification of wheat

24. (Triticuma estivum L.) genotypes with

25. zinc and manganese lead to improve the

26. grain yield and quality in sandy loam soil.

27. Frontiers in Sustainable Food Systems,

28. 7:1164011.

29. Farshadfar E, Romena H and Safari H. 2013.

30. Evaluation of variability and genetic

31. parameters in agro-physiological traits of

32. wheat under rain-fed condition.

33. International Journal of Agriculture and

34. Crop Sciences, 2013 Mar. 1;5(9):1015

35. Fouad, H. 2020. Principal Component and

36. Cluster Analyses to Estimate Genetic

37. Diversity in Bread Wheat (Triticum

38. aestivum L.) Genotypes. Journal of Plant

39. Production, 11(4): 325-331.

40. Gautam, Nikita Chaurasia and A. K. and

41. Bineeta, M. Bara. 2018. Study of Seed

42. Quality Parameters in Stored Wheat

43. (Triticum aestivum L.) Seed. International

44. Journal of Research in Engineering,

45. Science Management, 1(9): 2851-5782.

46. Guarin, J.R., and Asseng, S. 2022. Improving

47. Wheat Production and Breeding

48. Strategies Using Crop Models. In:

49. Reynolds, M.P., Braun, HJ. (eds) Wheat

50. Improvement. Springer, Cham, 573-591.

51. Haydar, F. M. A., Ahamed, M. S., Siddique, A.

52. B., Uddin, G. M., Biswas, K. L., and Alam,

53. M. F. 2020. Estimation of genetic

54. variability, heritability and correlation for

55. some quantitative traits in wheat

56. (Triticum aestivum L.). Journal of Bio

57. Science, 28(4): 81- 86.

58. Koshraj, U. 2020. Correlation and Path

59. Coefficient Analysis Among Yield and

60. Yield Attributing Traits of Wheat (Triticumaestivum L.) Genotypes. Archives of

61. Agriculture and Environmental Science,

62. 5(2):196-196.

63. Kumar, V.; Poonia, R.C. and Chaudhary,

64. Kautilya. 2018. Assessment of the Seed

65. Vigour Potential in Different Varieties of

66. Wheat. International Journal of Current

67. Microbiology and Applied Sciences,

68. 7(07): 354-361.

69. Kumari, G.,Shukla, R. S. and Devesh, P. 2022.

70. Genetic diversity analysis in bread wheat

71. (Triticum aestivum L. EM. Thell.) For

72. quantitative and physiological traits

73. under normal sown condition. The

74. Pharma Innovation Journal, 11(8): 574

75. 577.

76. OECD-FAO Agricultural Outlook 2024-2033.

77. (2024). In OECD agricultural outlook . .

78. ./OECD-FAO agricultural outlook. https:/

79. /doi.org/10.1787/4c5d2cfb-en

80. Raviteja, K., Dubey, N., Avinashe, H. and

81. Bharath, U. 2023. Analysis of genetic

82. variability for morphological and

83. physiological traits in bread wheat

84. (Triticum aestivum L.). The Pharma

85. Innovation Journal, 12(8): 737-741.

86. Rani, K., Singh, V. and Singh, G. 2018.Genetic

87. parameters of variability and path

88. analysis for morpho-physiological and

89. seed vigour character in bread wheat

90. (Triticum aestivum L.). Journal of

91. Pharmacognosy and Phytochemistry,

92. 7(3): 1653-1657.

93. Rani, K., Singh, V., Mor., V.S., Dalal., M.S. and

94. Ramni. 2018. Phenological Develo

95. pment, Grain Growth Rate, Seedling

96. Vigour and Yield Relationships in Wheat

97. Cultivars under Normal Sown Irrigated

98. Conditions. International Journal of

99. Current Microbiology and Applied

100. Sciences, 7(6): 3230-3238.

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Published

15-10-2025

How to Cite

GADDAM TARUN. (2025). ASSESSMENT OF GENETIC VARIABILITY FOR YIELD AND YIELD RELATED TRAITS IN WHEAT (KRISHAN PAL, KAVITA RANI, & R. P. SAHARAN, Trans.). The Journal of Research ANGRAU, 53(2), 21-28. https://doi.org/10.58537/jorangrau.2025.53.2.03