ASSOCIATION AND DIVERGENCE STUDIES FOR YIELD AND ITS ATTRIBUTING TRAITS IN UPLAND COTTON


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Authors

  • RANI CHAPARA Department of Genetics and Plant Breeding, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Lam, Guntur - 522 034
  • K.V. SIVA REDDY
  • M. SUDHA RANI Department of Genetics and Plant Breeding, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Lam, Guntur - 522 034
  • K. SUDHAMANI Department of Genetics and Plant Breeding, Regional Agricultural Research Station, Acharya N.G. Ranga Agricultural University, Lam, Guntur - 522 034

https://doi.org/10.58537/jorangrau.2024.52.1.01

Keywords:

Correlation, D2 analysis, Principal Component Analysis, Upland Cotton

Abstract

The study was executed during Kharif, 2022 to evaluate the character association and genetic
variability of yield and its associated traits in cotton. Correlation studies revealed that seed cotton
yield exhibited a substantial positive kinship with the number of bolls per plant, the number of sympodial
branches per plant, seed index, ginning out turn (GOT), and lint yield.The first three principal
components (PCs) out of the 12 PCs displayed eigen values more than one and exhibited maximum
share to total variability. The attributes that contributed a maximum portion to the total divergence
included the number of sympodia per plant, lint yield, seed cotton yield, ginning outturn percent, and
number of bolls per plant. The traits, number of bolls per plant, number of sympodia per plant, seed
index, ginning out turn, and lint yield can be utilized for direct selection for further heterosis breeding.
Based on D2 analysis the lines, L 2251 and L 2252 were found divergent and may be used in further
heterosis breeding programs.

References

1. Amein, M.M.M., Masri, M.I., EL-Adly, H.H and

2. Attia, S.S. 2020.Correlation and path

3. coefficient analysis for yield components

4. traits in egyptian cotton genotypes

5. (Gossypium barbadense L.). Plant

6. Archives. 20(2): 803-806.

7. Chaudhari, M., Faldu, G and Ramani, H.J.A.I.B.

8. Genetic variability, correlation and

9. path coefficient analysis in cotton

10. (Gossypium hirsutum L.). Advanced

11. Biomedical Research. 8 (6):226-233.

12. Cotton Corporation of India. 2023. Area,

13. production and productivity of cotton in

14. India. Retrieved from the website

15. (www.cotcorp.gov.in/statistics.aspx) on

16. 12.2023.

17. Isong, A., Balu, P.A and Ramakrishnan, P.

18. Association and principal

19. component analysis of yield and its

20. components in cultivated cotton.

21. Electronic Journal of Plant Breeding.

22. (3):857–64.

23. Jangid, K., Sangwan, O., Sagar, C. M and

24. Kumar, P. 2022. Correlation and path

25. analysis for seed cotton yield and its

26. contributing traits under irrigated

27. conditions of Sirsa in desi cotton. Journal

28. of Agri Search. 9(2):129-132.

29. Jarwar, A. H., Wang, X., Iqbal, M. S., Sarfraz,

30. Z., Wang, L., Ma, Q and Shuli, F. 2019.

31. Genetic divergence on the basis of

32. principal component, correlation and

33. cluster analysis of yield and quality traits

34. in cotton cultivars. Pakistan Journal of

35. Botany. 51(3): 1143-1148.

36. Kumbhar, Z. M., Wajid Ali Jatoi, Jay Kumar

37. Sootaher, Muhammad Ishaque Baloch,

38. Adil Ali Gadahi, Kirshan Kumar

39. ASSOCIATION AND DIVERGENCE STUDIES FOR YIELD AND ITS ATTRIBUTING TRAITS IN COTTON

40. Menghwar, Muhammad Saleem Chang

41. and MithoKachi. 2020. Studies on

42. correlation and heritability estimates in

43. upland cotton (Gossypium hirsutum L.)

44. genotypes under the agro-climatic

45. conditions of Tandojam, Sindh, Pakistan.

46. Pure and Applied Biology. 9(4):2272-227.

47. Manonmani, K., Mahalingam, L., Malarvizhi, D.,

48. Sritharan, N and Premalatha, N. 2019.

49. Genetic variability, correlation and path

50. analysis for seed cotton yield

51. improvement in upland cotton

52. (Gossypium hirsutum L.). Journal of

53. Pharmacognosy and Phytochemistry.

54. (4):1358–1361.

55. Memon,S., Gandahi, A.W.B.N., Yasir,

56. T.A.,Sarki, S.M.,Wasaya, N.S., Khan,

57. T.M., Iqbal, M.A., Ullah, R., Bhutta, M.A.,

58. Ahmad, S and Ishaq, M. Z. 2022.

59. Assessment of yield contributing

60. quantitative traits in upland cotton

61. (Gossypium hirsutum.L). Sarhad Journal

62. of Agriculture. 38(1): 353-359.

63. Sahar, A., Zafar, M. M., Razzaq, A., Manan, A.,

64. Haroon, M., Sajid, S., Rehman, A., MoH,

65. A.M., Ren, M and Shakeel, A. 2021.

66. Genetic variability for yield and fibre

67. related traits in genetically modified

68. cotton. Journal of Cotton Research.

69. (1):1-10.

70. Satish, Y. 2021. Genetic diversity analysis in

71. American cotton (Gossypium hirsutum L.)

72. genotypes. The Electronic Journal of

73. Plant Breeding. 12(4):1448 – 1453.

74. Satish,Y., Rani, M.Sand Chapara, R.2020.

75. Correlation and path coefficient analysis

76. for yield and yield component traits in

77. upland cotton (Gossypium hirsutum L.).

78. International Journal of Chemical Studies.

79. (2): 2742-2746.

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Published

31-03-2024

How to Cite

RANI CHAPARA. (2024). ASSOCIATION AND DIVERGENCE STUDIES FOR YIELD AND ITS ATTRIBUTING TRAITS IN UPLAND COTTON (K.V. SIVA REDDY, M. SUDHA RANI, & K. SUDHAMANI, Trans.). The Journal of Research ANGRAU, 52(1), 01-08. https://doi.org/10.58537/jorangrau.2024.52.1.01