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

Research Articles

Early Access

The Graphical analysis and numerical studies for yield components in sponge gourd (Luffa cylindrica (L.) M.Roem.)

DOI
https://doi.org/10.14719/pst.14151
Submitted
20 February 2026
Published
02-07-2026
Versions

Abstract

Graphical (Wr–Vr) and numerical analyses were employed to determine the nature and magnitude of gene action governing yield and yield-related traits in sponge gourd (Luffa cylindrica (L.) M.Roem.) using a 10 × 10 half-diallel mating design (excluding reciprocals). The regression coefficient (b) deviated significantly from unity for 10 of 12 traits (t-test, Ho: b = 1; p < 0.05), indicating the presence of non-allelic interactions (epistasis) for most characters. The Wr–Vr graphical analysis revealed partial dominance for seven traits, including vine length (VL), number of branches per vine (NBV), fruit length (FL), fruit diameter (FD), fruit weight (FW), fruits per vine (FV) and yield per vine (YV). Overdominance was observed for earliness-related traits (days to first female and male flowering and days to first harvest). Dominance variance components (H₁ and H₂) were significant for all 12 traits, confirming the prevalence of dominance effects. Additive genetic variance (D) was significant for most fruit and vegetative traits but not for days to female bud emergence, node to female bud emergence, first harvest days and FV. Narrow-sense heritability was low for most earliness traits (11.49 –18.99 %) but moderate to high for fruit-related traits (FL: 48.24 %; FD: 46.54 %; FW: 58.36 %). These findings indicate that heterosis breeding is the preferred strategy for earliness improvement, while selection in advanced generations can be effective for fruit and yield traits.

 

References

  1. 1. Chauhan VBS, Singh DK, Choudhary H. Biochemical characterisation of parental lines and F1 hybrids in smooth gourd (Luffa cylindrica Roem.). Vegetable Science. 2012;39(1):105–7. https://doi.org/10.61180/
  2. 2. Yawalkar KS. Vegetable crops of India. 5th ed. Nagpur: Agri-Horticultural Publishing House; 2004. p. 152–5.
  3. 3. Cruz CD, Regazzi AJ. Modelos biométricos aplicados ao melhoramento genético. Viçosa: UFV; 1994.
  4. 4. Hayman BI. The theory and analysis of diallel crosses. Genetics. 1954;39(6):789–809. https://doi.org/10.1093/genetics/39.6.789
  5. 5. Singh P, Kumar JC, Sharma JP. Genetic estimates in long-fruited bottle gourd (Lagenaria siceraria). Vegetable Science. 2000;27(2):162–64.
  6. 6. Chauhan VBS, Singh DK, Choudhary H, Bansode V, Patil K. Nature of gene action for yield and its contributing traits in sponge gourd (Luffa cylindrica Roem.). Int J Curr Microbiol App Sci. 2018;7(12):2201–6. https://doi.org/10.20546/ijcmas.2018.712.250
  7. 7. Mather K, Jinks JL. Biometrical Genetics. 2nd ed. Ithaca (NY): Cornell University Press; 1971. https://doi.org/10.1007/978-1-4899-3404-8
  8. 8. Kumar R, Munshi AD, Behera TK, Kumar R, Sureja AK. Estimates of genetic components of variation in sponge gourd (Luffa cylindrica Roem.). Vegetable Science. 2012;39(2):214–17. https://doi.org/10.61180/
  9. 9. Hedau NK, Sirohi PS. Diallel studies in ridge gourd (Luffa acutangula (Roxb.)). Orissa J Hortic. 2004;32(1):13–4.
  10. 10. Mehta DR, Purohit VL, Golani IJ, Dhaduk LK, Gajipara NN. Genetics of fruit yield and its components in ridge gourd (Luffa acutangula (Roxb.)). In: Cucurbits Breeding and Production Technology. Proceedings of Seminar held at GBPUA&T; Pantnagar, India. 2005. p. 289–95.
  11. 11. Singh PK, Kumar JC, Sharma JR. Heterosis studies in long fruited bottle gourd. Vegetable Science. 1998;25(1):55–7.
  12. 12. Behera TK, Bhardwaj DR, Gautam KK. Bitter gourd: breeding and genomics. Vegetable Science. 2023;50(Spl):189–207. https://doi.org/10.61180/vegsci.2023.v50.spl.06
  13. 13. Narasannavar A, Devappa V, Fakrudin B, Pitchaimuthu M, Sriram S. Gene action and heterosis studies for growth, earliness, yield and downy mildew disease [Pseudoperonospora cubensis (Berk. and Curt.) Rostow.] in ridge gourd [Luffa acutangula (Roxb.) L.]. Int J Curr Microbiol App Sci. 2018;7(2):3533–42. https://doi.org/10.20546/ijcmas.2018.702.419
  14. 14. Khan MH, Bhuiyan SR, Saha KC, Bhuyin MR, Ali AS. Variability, correlation and path co-efficient analysis of bitter gourd (Momordica charantia L.). Bangladesh J Agric Res. 2015;40(4):607–18. https://doi.org/10.3329/bjar.v40i4.26936
  15. 15. Nallyadhara MV, Dhaduk LK, Barad AV, Sanandiya ST. Genetics of fruit yield and its components in sponge gourd [Luffa cylindrica (Roem.) L.]. Vegetable Science. 2007;34(2):196–197.
  16. 16. Rajeswari KS, Natarajan S. Genetics and inheritance of yield and its components in bitter gourd (Momordica charantia L.). South Indian Hortic. 2002;50(1–3):82–90.
  17. 17. Tyagi SV, Sharma P, Siddiqui SA, Khandelwal RC. Combining ability for yield and fruit quality in Luffa. Int J Veg Sci. 2010;16(3):267–77. https://doi.org/10.1080/19315261003669858
  18. 18. Bhardwaj DR, Pandey J, Singh A, Kumar S, Gautam K. Genetic divergence studies using multivariate analysis in bitter gourd (Momordica charantia L.). Vegetable Science. 2024;51(2):275–82. https://doi.org/10.61180/vegsci.2024.v51.i2.11
  19. 19. Singh J, Munshi AD, Sureja AK, Lyngdoh YA, Sangwan S, Tomar BS. Graphical (Wr-vr) and numerical diallel analyses in relation to yield and its components in ridge gourd (Luffa acutangula roxb.). Int J Curr Microbiol App Sci. 2019;8(11):1869–76. https://doi.org/10.20546/ijcmas.2019.811.219
  20. 20. Chithra K, Shashikanth E, Gowda KH, Ramanagouda SH, Devaraju M, Jagadeesh SL, et al. Multivariate analysis for nutritional composition, phytochemical contents, yield and yield contributing characters in underutilised cucurbit sponge gourd [Luffa cylindrica (L.) Roem.]. Genet Resour Crop Evol. 2025;72(3):3163–81. https://doi.org/10.1007/s10722-024-02159-0

Downloads

Download data is not yet available.