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Enhancing breeding potential in Indian mustard (Brassica juncea L. Czern & Coss): variability and association studies in Three F2 populations

DOI
https://doi.org/10.14719/pst.7290
Submitted
21 January 2025
Published
24-07-2025
Versions

Abstract

This research was conducted to investigate the genetic variability, heritability and relationships among traits in F2 populations of Indian mustard (Brassica juncea L. Czern & Coss) to identify practical breeding approaches for improving yield. Considerable variation was noted in traits associated with growth, yield and its components, highlighting the genetic diversity in the studied populations. Key characteristics such as the number of primary and secondary branches per plant, siliqua per raceme, racemes per plant and seed yield per plant exhibited high phenotypic and genotypic coefficients of variation (PCV and GCV), suggesting significant genetic variability. Traits with high heritability and genetic advance, including primary and secondary branches per plant, racemes per plant, siliqua per raceme and seed yield per plant, indicate a strong influence of additive genetic variance, making them ideal for direct selection. Through correlation and path analysis, key traits such as primary and secondary branches per plant, siliqua per raceme, number of racemes per plant and 1000-seed weight were identified as crucial for enhancing yield. The F2 population from the cross TM-138-1 × KMR(E) 16-1 demonstrated superior breeding potential, as evidenced by higher mean values, broader absolute and standardized ranges, increased phenotypic coefficient of variation and a higher frequency of transgressive segregants compared to other crosses. These results offer valuable insights for breeders seeking to improve productivity and adaptability in oilseed crops.

References

  1. 1. Allchin FR. Dilmun and the Gulf of Cambay. Antiquity. 1969;43(172):315–7. https://doi.org/10.1017/S0003598X00107549
  2. 2. Warwick SI, Francis A, Al-Shehbaz IA. 2006. Brassicaceae: species checklist and database on CD-ROM. Plant Syst Evol. 2006;259:249–58. https://doi.org/10.1007/s00606-006-0422-0
  3. 3. Rai PK, Yadav P, Kumar A, Sharma A, Kumar V, Rai P. Brassica juncea: A crop for food and health. In: Kole C, Mohapatra T, editors. The Brassica juncea genome. compendium of plant genomes. Cham: Springer. 2022. p.1–13. https://doi.org/10.1007/978-3-030-91507-0_1
  4. 4. Jabeen N. Agricultural, economic and societal importance of Brassicaceae plants. In: Hasanuzzaman M, editor. The Plant Family Brassicaceae. Singapore: Springer. 2020. p.45–128. https://doi.org/10.1007/978-981-15-6345-4_2
  5. 5. Pant U, Bhajan R, Singh A, Kulshesthra K, Singh AK, Punetha H. Green leafy mustard: A healthy alternative. Electron J Plant Breed. 2020;11(01):267–70. https://doi.org/10.37992/2020.1101.045
  6. 6. McVetty PB, Duncan RW. Canola, rapeseed and mustard: for biofuels and bioproducts. In: Cruz VMV, Dierig DA, editors. Industrial crops. handbook of plant breeding, vol 9. New York, NY: Springer; 2015. p.133–56. https://doi.org/10.1007/978-1-4939-1447-0_7
  7. 7. Prasad G, Patil BR. Genetic variability and heritability studies for yield and attributes in Indian mustard. J Pharmacogn Phytochem. 2018;7(5):519–22.
  8. 8. Indiastat. Area, production and productivity of rapeseed and mustard in Karnataka [internet]. 2024 [cited 2025 Feb 25]. Available at: https://www.indiastat.com
  9. 9. Anilkumar C, Mohan Rao A, Ramesh S. Breeding potential of crosses derived from parents differing in fruiting habit traits in chilli (Capsicum annuum L.). Genet Resour Crop Evol. 2021;68:4550. https://doi.org/10.1007/s10722-020-01002-6
  10. 10. Bernardo R. Breeding for quantitative traits in plants, 3rd ed. Woodbury, Minnesota: Stemma Press; 2020.
  11. 11. Suresh S, MS C, Ramesh S, Keerthi CM. Breeding potential of crosses in Dolichos bean (Lablab purpureus L. Sweet var lignosus). Environ Ecol 2017;35(1):33–38.
  12. 12. Johnson HW, Robinson HF, Comstock RE. Estimates of genetic and environmental variability in soybeans; Agron J. 1955;47(7):314–18. https://doi.org/10.2134/agronj1955.00021962004700070009x
  13. 13. Al‐Jibouri H, Miller PA, Robinson HF. Genotypic and environmental variances and covariances in an upland cotton cross of interspecific origin 1. Agron J. 1958;50(10):633–36. https://doi.org/10.2134/agronj1958.00021962005000100020x
  14. 14. Dewey DR, Lu K. A correlation and path‐coefficient analysis of components of crested wheatgrass seed production 1. Agron J. 1959;51(9):515–18. https://doi.org/10.2134/agronj1959.00021962005100090002x
  15. 15. Manoj MS, Patil BR, Lokeshkumar BM, Hampannavar M, Prasad G, Joshi V. Studies on Components of Genetic Variability in Indian Mustard (Brassica juncea (L.) Czern and Coss.) Genotypes Across Five Locations in Northern Karnataka. J Environ Ecol. 2023;41(4D):3093–97. https://doi.org/10.60151/envec/MEYW2345
  16. 16. Gupta MC, Roy HS, Bhadauria SS. Genetic variability analysis in F2/F3 population derived through interspecific hybridisation in oilseed Brassica. Electron J Plant Breed. 2019; 10(3):1275–82. https://doi.org/10.5958/0975-928X.2019.00163.7
  17. 17. Prasad G, Patil BR. Association and path coefficient analysis in Indian mustard genotypes. Int J Chem Stud. 2018;6(5):362–68.
  18. 18. Mohan S, Yadav RK, Tomar A, Kasana RK. Utilization of selection parameters for seed yield and its contributing traits in Indian mustard (Brassica juncea L. Czern & Coss). The Pharm Innov. 2017;6(8):306.
  19. 19. Rout S, Kerkhi SA, Chauhan C. Character association and path analysis among yield components in Indian Mustard [Brassica juncea (L) Czern and Coss]. Int J Curr Microbiol Appl Sci. 2018;7(1):50–55. https://doi.org/10.20546/ijcmas.2018.701.007
  20. 20. Yadava DK, Giri SC, Vignesh M, Vasudev S, Kumar Yadav A, Dass B, et al. Genetic variability and trait association studies in Indian mustard (Brassica juncea). Indian J Agr Sci. 2011;81(8):712.
  21. 21. Akbar M, Mahmood T, Yaqub M, Anwar M, Ali M, Iqbal N. Variability, correlation and path coefficient studies in summer mustard (Brassica juncea L.). Asian J Plant Sci; 2003. https://doi.org/10.3923/ajps.2003.696.698
  22. 22. Acharya NN. Correlation and path analysis of some quantitative characters in F2 population of indian mustard {Brassica juncea (L) Czern and Coss}. Indian J Agric Res. 2006;40(3):200–03.
  23. 23. Gowthami R, Patil SR. Correlation and path analysis in F2, F3 and biparent crosses of mustard. Electron J Plant Breed. 2014; 5(4):851–57.
  24. 24. Dawar S, Kumar N, Mishra SP. Genetic variability, correlation and path coefficient analysis in the Indian mustard (Brassica juncea L. Czern and Coss) varieties grown in Chitrakoot, India. Int J Curr Microbiol Appl Sci. 2018;7(3):883–90. https://doi.org/10.20546/ijcmas.2018.703.103
  25. 25. Saroj R, Soumya SL, Singh S, Sankar SM, Chaudhary R, Yashpal, et al. Unravelling the relationship between seed yield and yield-related traits in a diversity panel of Brassica juncea using a multi-traits mixed model. Front Plant Sci. 2021;12:651936. https://doi.org/10.3389/fpls.2021.651936
  26. 26. Falconer DS. Introduction to Quantitative Genetics. 1st ed. London: Oliver & Boyd; 1960. https://doi.org/10.1002/bimj.19620040211
  27. 27. Dudley JW. Theory for the transfer of alleles 1. Crop Sci. 1982;22(3):631–37. https://doi.org/10.2135/cropsci1982.0011183X002200030049x
  28. 28. Ambaw YD, Abitea AG, Olango TM, Molla MB. Genetic variation in Ethiopian mustard (Brassica carinata A. Braun) germplasm based on seed oil content and fatty acid composition. Genet Resour Crop Evol. 2024;1–15. https://doi.org/10.1007/s10722-024-02155-4
  29. 29. Dharvesh MH, Umadevi M, Kalaiyarasi R, Vanitha K, Rajeswari R. Genetic variability and association studies in F2 populations of Groundnut (Arachis hypogaea L.). Plant Sci Tod. 2024;11(sp4):01–09. https://doi.org/10.14719/pst.5241

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