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Plant Science Today (PST)

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Early Access

Genetic evaluation of muskmelon hybrids using performance, correlation and path analysis for yield and quality traits in Kashmir

DOI
https://doi.org/10.14719/pst.9375
Submitted
8 May 2025
Published
22-12-2025

Abstract

The present muskmelon hybrid study was carried out during the Kharif season of 2021–2022 in the experimental field of the vegetable science division, SKUAST, Kashmir, Shalimar. The experimental design employed was a randomized complete block design (RCBD) with three replications, evaluating twenty muskmelon hybrids for various quantitative and qualitative traits. Significant genotypic differences were observed across all the traits. Madhusree hybrid exhibited the highest fruit yield per plant (11.52 kg), followed by Tipu-50 (8.63 kg) and Punjab hybrid (7.87 kg). In terms of quality attributes, hybrid VS-8989 demonstrated the highest total soluble solids (TSS) (11.55 °B), followed by Sawarna hybrid (10.58 °B) while highest vitamin C content was found in Mahima (31.55 mg/100 g), followed by Punjab hybrid (31.08 mg/100 g) and Shelf life was longest in LHM-Masti (10.86 days), followed by Madhuraj (10.27 days). The average yield per plant demonstrated a significant positive correlation at both genotypic and phenotypic levels with several yield-contributing traits, including weight of fruit (g), number of fruits/plant, Vitamin C content (mg/100 g), flesh thickness (cm) and fruit length (cm). Path coefficient analysis further revealed that the highest positive direct effect on average yield per plant was observed for the number of fruits per plant, average fruit weight (g), fruit length (cm), flesh thickness (cm), phenol content (mg/g), days to first fruit harvest and internodal length (cm). These traits showed significant positive correlations and high positive direct effects on yield per plant, suggesting that direct selection based on these traits would be effective for yield improvement.

References

  1. 1. Chakrabarti AK. Importance of vegetables. In: Thamburaj S, Singh N, editors. Textbook of Vegetables, Tuber Crops and Spices. New Delhi: ICAR; 2011:4.
  2. 2. Bailey LH, Hortorium LHB, Bailey EZ. Hortus Third: A concise dictionary of plants cultivated in the United States and Canada. 1976. https://doi.org/10.2135/cropsci2001.1659
  3. 3. Singh SP. Broadening the genetic base of common bean cultivars. Crop Sci. 2001;41:1659–75.
  4. 4. Singh RK, Chaudhary BD. Biometrical Methods in Quantitative Genetic. 1985.
  5. 5. Steel RGD, Torrie JH. Principles and Procedures of Statistics. 1960.
  6. 6. Weber CR, Moorthy BR. Heritable and nonheritable relationships and variability of oil content and agronomic characters in the F₂ generation of soybean crosses. Agron J. 1952;44(4):202–9. https://doi.org/10.2134/agronj1952.00021962004400040010x
  7. 7. Shivaprasad MK, Vasant M, Buvaneshwari G. Growth and flowering behaviour of muskmelon (Cucumis melo L.) hybrids under Northern zone of Karnataka. Prog Hortic. 2015;47(2):344–7. https://doi.org/10.5958/2249-5258.2015.00069.X
  8. 8. Priya B, Jayaprada M, Arunodhayam K. Evaluation of muskmelon (Cucumis melo L.) parents and hybrids for growth, yield and quality traits. Pharma Innov J. 2021;10(8):1051–5.
  9. 9. Vijaykumar. Studies on genetic variability and molecular characterization of bitter gourd (Momordica charantia L.) genotypes. M.Sc. Thesis. UAS Bengaluru; 2007.
  10. 10. Dey SS, Behera TK, Munshi AD, Pal A. Gynoecious inbred with better combining ability improves yield and earliness in bitter gourd (Momordica charantia L.). Euphytica. 2010;173:37–47. https://doi.org/10.1007/s10681-009-0097-z
  11. 11. Gichimu BM, Owuor BO, Dida MM. Agronomic performance of popular commercial watermelon cultivars in Kenya compared to a newly introduced cultivar and a local landrace grown on dystric nitisols. ARPN J Agric Biol Sci. 2008;3(5–6).
  12. 12. Rakha MT, Metwally EI, Moustafa SA, Etman AA, Dewir YH. Evaluation of regenerated strains from six Cucurbita interspecific hybrids obtained through anther and ovule in vitro cultures. Aust J Crop Sci. 2012;6(1):23–30.
  13. 13. Liu L, Kakihara F, Kato M. Characterization of six varieties of Cucumis melo L. based on morphological and physiological characters, including shelf-life of fruit. Euphytica. 2004;135:305–13. https://doi.org/10.1023/B:EUPH.0000013330.66819.6f
  14. 14. Nunez-Palenius HG, Gomez-Lim M, Ochoa-Alejo N, Grumet R, Lester G, Cantliffe DJ. Melon fruits: genetic diversity, physiology and biotechnology features. Crit Rev Biotechnol. 2008;28(1):13–55. https://doi.org/10.1080/07388550801891111
  15. 15. Chikh-Rouhou H, Tlili I, Ilahy R, R’him T, Sta-Baba R. Fruit quality assessment and characterization of melon genotypes. Int J Veg Sci. 2021;27(1):3–19. https://doi.org/10.1080/19315260.2019.1692268
  16. 16. Cabello MJ, Castellanos MT, Romojaro F, Martinez-Madrid C, Ribas F. Yield and quality of melon grown under different irrigation and nitrogen rates. Agric Water Manag. 2009;96(5):866–74. https://doi.org/10.1016/j.agwat.2008.11.006
  17. 17. Reddy KAN, Munshi AD, Behera TK, Sureja AK. Correlation and path analysis for yield and biometrical characters in snapmelon (Cucumis melo var. momordica). SABRAO J Breed Genet. 2007;39(1):65–72.
  18. 18. Bhagyalekshmi TR, Gasti VD, Evoor S, Gopali JB, Mastiholi AB, Kamble CS. Studies on correlation and path-coefficient analysis for yield and its contributing characters in watermelon [Citrullus lanatus (Thunb.) Mansf.]. J Pharmacogn Phytochem. 2020;9(3):1909–12.
  19. 19. Karadi SM, Ganiger VM, Bhuvaneshwari G, Hadimani HP, Madalageri MB, Pallavi HM. Path analysis and diversity studies for growth, earliness, yield and quality parameters in wild melon (Cucumis melo sub sp. agrestis) genotypes. Int J Curr Microbiol Appl Sci. 2017;6(12):1612–8. https://doi.org/10.20546/ijcmas.2017.612.181
  20. 20. Singh G, Lal T. Correlation and path analysis of fruit yield and its component traits in muskmelon (Cucumis melo L.). J Crop Improv. 2005;32(1):102–7.
  21. 21. Reddy BP, Begum H, Sunil N, Reddy MT. Correlation and path coefficient analysis in muskmelon (Cucumis melo L.). Int J Curr Microbiol Appl Sci. 2017;6(6):2261–76. https://doi.org/10.20546/ijcmas.2017.606.268
  22. 22. Tomar RS, Kulkarni GU, Kakade OK, Patel AD, Acharya RR. Genetic divergence in muskmelon (Cucumis melo L.). Asian J Hortic. 2008;3(1):103–5. https://doi.org/10.24154/jhs.v3i2.569
  23. 23. Taha M, Omara K, El Jack A. Correlation among growth, yield and quality characters in Cucumis melo L. Cucurbit Genet Coop Rep. 2003;26:9–11.
  24. 24. Pandey S, Rai M, Singh B. Genetic variability and character association in muskmelon (Cucumis melo L.). Indian J Plant Genet Resour. 2005;18(2):212–6.
  25. 25. Yadav RK, Ram HH. Correlation and path coefficient analysis in muskmelon (Cucumis melo L.). Haryana J Hortic Sci. 2002;31(1–2):74–6.
  26. 26. Mehta R, Singh D, Bhalala MK. Correlation and path analysis in muskmelon. Indian J Hortic. 2009;66(3):396–9.
  27. 27. Choudhary BR, Fageria MS, Dhaka RS. Correlation and path coefficient analysis in muskmelon (Cucumis melo L.). Indian J Hortic. 2004;61(2):158–62.
  28. 28. Prajapati PJ, Acharya RR, Patel ND, Pandya MM, Patel NA. Character association and path analysis for fruit yield and its contributing traits in muskmelon (Cucumis melo L.). Pharma Innov J. 2022;11(1):670–4.
  29. 29. Harsh K, Pal AK. Correlation and path coefficient analysis of yield and component traits of muskmelon (Cucumis melo L.) genotypes at Varanasi, Uttar Pradesh. 2021.
  30. 30. Arya D, Pal AK, Singh AK, Kumar B, Rathour A. Studies of correlation and path coefficients for tomato yield and quality attributes (Solanum lycopersicum L.). Int J Environ Clim Change. 2023;13(10):381–8. https://doi.org/10.9734/ijecc/2023/v13i102650
  31. 31. Silpa R, Anitha P, Pradeepkumar T, John CL. Character associations and path analysis for horticultural traits and fruitfly infestation in oriental pickling melon (Cucumis melo var. conomon Mak.). Veg Sci. 2020;47(1):85–92. https://doi.org/10.61180/vegsci.2020.v47.i1.15

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