Skip to main navigation menu Skip to main content Skip to site footer

Research Articles

Vol. 13 No. sp1 (2026): Recent Advances in Agriculture

Genetic variability studies in the underutilized vegetable Momordica cymbalaria Hook F.

DOI
https://doi.org/10.14719/pst.10757
Submitted
19 July 2025
Published
26-02-2026

Abstract

The study aimed to examine the genetic variability and relatedness among 23 genotypes of athalakkai (Momordica cymbalaria Hook F.) evaluated at the college orchard, Department of Horticulture, Agricultural College and Research Institute, Madurai, Tamil Nadu. The study assessed yield-related traits such as days to sprouting, vine length, number of vines per plant, fruit stalk length, number of fruits per vine, number of fruits per plant, fruit length, fruit girth, fruit weight, number of seeds and yield per plant. Results showed significant variations in the mean performance of 23 athalakkai genotypes for various traits, indicating substantial genetic diversity and high breeding potential within the germplasm. The study of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) in M. cymbalaria germplasms showed variability in traits such as fruits per vine, number of seeds, number of fruits per vine, number of vines per plant, vine length and yield per plant. High heritability estimates and genetic advance were observed, indicating that variation is due to a high degree of additive effect and can be improved through selection. Correlation and path analysis results showed that vine length, number of seeds, number of fruits per plant, number of fruits per vine, fruit weight and fruit stalk length had a significant positive direct effect on the number of fruits per plant, suggesting these traits could be considered for yield improvement programs in M. cymbalaria.

References

  1. 1. Rajamanickam C, Arunachalam P. Evaluation of underutilized vegetable Momordica cymbalaria accessions for growth, yield and quality parameters. J Eco Friendly Agric. 2024;19(2):359–63. https://doi.org/10.48165/jefa.2024.19.02.21
  2. 2. Parvathi S, Kumar V. Studies on chemical composition and utilization of the wild edible vegetable athalakkai (Momordica tuberosa). Plant Foods Hum Nutrn. 2002;57:215–22. https://doi.org/10.1023/A:1021884406024
  3. 3. Reddy R, Subbaiah Y, Reddy M, editors. Exploitation of kaasara kaya (Momordica tuberose) for diversification of vegetables. Proceedings of the International Conference on Indigenous Vegetables and Legumes Prospectus for Fighting Poverty, Hunger and Malnutrition 752; 2006. https://doi.org/10.17660/ActaHortic.2007.752.108
  4. 4. Anbu S. Potential, scope and status of cucurbits in Tamil Nadu. In: Proceedings of National Seminar cum Workshop on Strategies for improvement, enhancing and productivity and utilization of cucurbits; Bhuvaneshwar, Odisha. 2018.
  5. 5. Rajamanickam C, Arunachalam P. Genetic variability, correlation and path analysis of Momordica cymbalaria. In: Proceedings of International Seminar on Exotic and Underutilized Horticultural Crops; Bengaluru. 2023.
  6. 6. Panse VG, Sukhatme PV, editors. Statistical Methods for Agriculture Workers: Indian Council of Agriculture Research; 1967.
  7. 7. Burton GW, De Vane DE. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agron J. 1953. https://doi.org/10.2134/agronj1953.00021962004500100005x
  8. 8. Hanson C, Robinson H, Comstock R. Biometrical studies of yield in segregating populations of Korean lespedeza. Agron J. 1956;48(6):268–72. https://doi.org/10.2134/agronj1956.00021962004800060008x
  9. 9. Johnson HW, Robinson H, Comstock R. Estimates of genetic and environmental variability in soybeans. Agron J. 1955;47:314–8. https://doi.org/10.2134/agronj1955.00021962004700070009x
  10. 10. Al-Jibouri HA, Miller P, Robinson H. Genotypic and environmental variances and covariances in an upland cotton cross of interspecific origin. Agron J. 1958;50(10):633–6. https://doi.org/10.2134/agronj1958.00021962005000100020x
  11. 11. Dewey DR, Lu K. A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agron J. 1959;51(9):515–8. https://doi.org/10.2134/agronj1959.00021962005100090002x
  12. 12. Islam M, Hossain M, Bhuiyan M, Husna A, Syed M. Genetic variability and path-coefficient analysis of bitter gourd (Momordica charantia L.). Int J Sustainable Agric. 2009;1(3):53–7.
  13. 13. Singh V, Rana D, Shah K. Genetic variability, heritability and genetic advance in some strains of bitter gourd (Momordica charantia L.) under subtropical conditions of Garhwal Himalaya. Plant Arch. 2017;17(1):564–8.
  14. 14. Priyadharshini S, Kumanan K, Krishnamoorthy V, Ahamed AS. Performance of bitter gourd genotypes (Momordica charantia var. muricata L.) for higher yield and quality traits under sodic soil condition cultivar Mithi Pagal. Electron J Plant Breed. 2018;9(3):1107–14. https://doi.org/10.5958/0975-928X.2018.00138.2
  15. 15. Kannan A, Rajamanickam C, Krishnamoorthy V, Arunachalam P. Genetic variability, correlation and path analysis in F4 generation of ridge gourd (Luffa acutangula (Roxb) L.). Int J Chem Stud. 2019;7(3):208–13.
  16. 16. Dey S, Behera T, Anand Pal AP, Munshi A. Correlation and path coefficient analysis in bitter gourd (Momordica charantia L.). Veget Sci. 2005;32(2):173–6.
  17. 17. Sandilya VK, Ekka R, Sinha S, Tiwari J. Genetic variability, correlation and path analysis of fruit yield in spine gourd (Momordica dioica Roxb.). Appl Biol Res. 2020;22(1):20–5. https://doi.org/10.5958/0974-4517.2020.00003.8
  18. 18. Dora D, Behera T, Acharya G, Mohapatra P, Mishra B. Genetic variability and character association in pointed gourd (Trichosanthes dioica Roxb.). Indian J Hortic. 2003;60(2):163–6.
  19. 19. Vijayakumar R, Rajamanickam C, Beaulah A, Arunachalam P. Genetic variability, correlation and path analysis in F6 generation of ridge gourd (Luffa acutangula (Roxb) L.) for yield and quality. Int J Curr Microbiol App Sci. 2020;9(7):1012–9. https://doi.org/10.20546/ijcmas.2020.907.119
  20. 20. Joseph John K, Antony V. Collection and preliminary evaluation of small bitter gourds (Momordica charantia L.) a relict vegetable of Southern Peninsular India. Genet Resour Crop Evol. 2009;56:99–104. https://doi.org/10.1007/s10722-008-9348-4
  21. 21. Bharathi L, Naik G, Dora D. Studies on genetic variability in spine gourd. Indian J Hortic. 2006;63(1):96–7.
  22. 22. Saranyadevi G, Lakshmanan V, Rohini N. Performance evaluation and correlation analysis in mithipagal genotypes (Momordica charantia var. muricata). Electron J Plant Breed. 2017;8(2):652–9.
  23. 23. Ram D, Rai M, Singh H, Verma A, Sudhakar Pandey SP, Arun Kumar AK. Cause and effect analysis of yield in off-season bitter gourd (Momordica charantia L.). Veget Sci. 2006;33(1):63–4.
  24. 24. Pandey R, Singh D, Upadhyay M. Study of correlation and path coefficient under different seasons in sponge gourd (Luffa cylindrica Roem.). Prog Hortic. 2006;38(2):224.
  25. 25. Bharathi L, Naik G, Singh H, Dora D. Correlation and path analysis in spine gourd (Momordica dioica Roxb.). Orissa J Hortic. 2005;33(2):105–8.

Downloads

Download data is not yet available.