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Plant Science Today (PST)

Research Articles

Vol. 13 No. 4 (2026)

Assessment of genetic divergence in pumpkin (Cucurbita moschata Duchesne) through morphological and microsatellite markers for enhanced fruit yield and related traits

DOI
https://doi.org/10.14719/pst.14498
Submitted
10 March 2026
Published
11-10-2026 — Updated on 20-10-2026
Versions

Abstract

Understanding the genetic diversity of crop species is critical for developing effective breeding strategies to improve yield and related traits. This study presents an integrative assessment of genetic diversity among 72 pumpkin (Cucurbita moschata Duchesne) genotypes including standard check varieties, using both morphological traits and molecular markers. The experiment was carried out at ICAR-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh in augmented block design during the summer season of 2023 with data recorded on 17 quantitative traits. The analysis of variance revealed that the mean sum of squares attributable to genotype was significant to highly significant across all 17 quantitative traits, indicating that the evaluated genotypes exhibited significant genetic diversity for test traits under study. High heritability coupled with high genetic advance as per cent of mean was observed for characters such as peduncle diameter (73.34 % and 169.72 %, respectively) and seed width (99.85 % and 157.59 %, respectively), making them ideal targets for genetic improvement through selection. Principal component analysis identified seven significant principal components, with PC1 accounting for the largest proportion of variability (13.99 %), followed by PC2 (12.90 %) and PC3 (11.58 %) and highlighting fruit yield per plant, fruit weight and seed width were major contributors to the phenotypic divergence. Molecular profiling using 19 SSR markers revealed high polymorphism with polymorphic information content (PIC) values ranging from 0.36–0.97 and unweighted pair group method with arithmetic mean (UPGMA) clustering delineated seventy-two genotypes into three distinct clusters. The marker CMTm34 had the highest PIC value (0.97), suggesting its exceptional discriminatory power for detecting genetic variability in pumpkin genotypes. Allele frequencies across all markers varied widely, ranging from 8.75 % to 80.00 %, demonstrating the genetic richness and diversity of the genotypes under study. The diverse genotypes identified in this study may be utilised as potential parents in hybrid breeding programmes to develop superior pumpkin lines.

References

  1. 1. Harry SP. Germplasm enhancement of Cucurbita pepo (pumpkin, squash, gourd: Cucurbitaceae): progress and challenges. Euphytica. 2016;208(3):415–38. https://doi.org/10.1007/s10681-015-1605-y
  2. 2. Dhatt AS, Pandey S, Garcha KS, Verma N, Sagar V, Sharma M. Comprehensive review of pumpkin (Cucurbita spp.): domestication, global distribution, genetic characterization, breeding strategies, and genomic insights. Veg Sci. 2024;51(2):196–210. https://doi.org/10.61180/vegsci.2024.v51.i2.01
  3. 3. Hosen M, Rafii MY, Mazlan N, Jusoh M, Oladosu Y, Chowdhury MFN, et al. Pumpkin (Cucurbita spp.): a crop to mitigate food and nutritional challenges. Horticulturae. 2021;7(10):352. https://doi.org/10.3390/horticulturae7100352
  4. 4. Sagar V, Sharma M, Devi J, Tiwari S, Dhatt AS, Behera TK. Pumpkin crop biodiversity: conservation and use of genetic resources. In: Kalia P, editor. Vegetable Crops. Handbooks of Crop Diversity: Conservation and Use of Plant Genetic Resources. Springer. 2025. https://doi.org/10.1007/978-981-97-8949-8_12
  5. 5. Horticulture Statistics Unit, Economics, Statistics and Evaluation Division, Department of Agriculture and Farmers Welfare, Ministry of Agriculture and Farmers Welfare, Government of India. Horticultural statistics at a glance 2024.
  6. 6. CEIC Data. Production: horticulture crops: vegetables: others: pumpkin (Sitaphal): Uttar Pradesh.
  7. 7. Ferriol M, Pico B. Pumpkin and winter squash. In: Vegetables I: Asteraceae, Brassicaceae, Chenopodicaceae, and Cucurbitaceae. Handbook of Plant Breeding. Springer. 2008;1:317–49. https://doi.org/10.1007/978-0-387-30443-4_10
  8. 8. Darrudi R, Nazeri V, Soltani F, Shokrpour M, Ercolano MR. Genetic diversity of Cucurbita pepo L. and Cucurbita moschata Duchesne accessions using fruit and seed quantitative traits. J Appl Res Med Aromat Plants. 2018. https://doi.org/10.1016/j.jarmap.2017.11.003
  9. 9. Soltani F, Karimi R, Kashi A. Estimation of genetic diversity in Cucurbita species using morphological and phytochemical analysis. Int J Veg Sci. 2016;23(1):42–53. https://doi.org/10.1080/19315260.2016.1174968
  10. 10. Ezin V, Gbemenou UH, Ahanchede A. Characterization of cultivated pumpkin (Cucurbita moschata Duchesne) landraces for genotypic variance, heritability and agro-morphological traits. Saudi J Biol Sci. 2022;29(5):3661–74. https://doi.org/10.1016/j.sjbs.2022.02.057
  11. 11. Panging K, Bora GC, Sarma D. Genetic divergence among pumpkin (Cucurbita moschata Duch ex. Poir) landraces of Assam. Pharma Innov. 2023;12(2):3551–4.
  12. 12. Kumar V, Mishra DP, Yadav GC, Dwivedi DK. Genetic diversity assessment for morphological, yield and biochemical traits in genotypes of pumpkin. J Pharmacogn Phytochem. 2017;6(3):14–18.
  13. 13. Powell W, Machray GC, Provan J. Polymorphism revealed by simple sequence repeats. Trends Plant Sci. 1996;1(7):215–22. https://doi.org/10.1016/1360-1385(96)86898-1
  14. 14. Tautz D. Hypervariability of simple sequences as a general source for polymorphic DNA markers. Nucleic Acids Res. 1989;17(16):6463–71. https://doi.org/10.1093/nar/17.16.6463
  15. 15. Rafalski JA. DNA markers in plant breeding. Biotech. 1996;13:134–39.
  16. 16. Gupta PK, Varshney RK. The development and use of microsatellite markers for genetic analysis and plant breeding with emphasis on bread wheat. Euphytica. 2000;113:163–85. https://doi.org/10.1023/A:1003910819967
  17. 17. Srivastava U, Mahajan RK, Gangopadhyay KK, Singh M, Dhillon BS. Minimal descriptors of agri-horticultural crops, part II: vegetable crops. National Bureau of Plant Genetic Resources. 2001:74–84.
  18. 18. Doyle JJ, Doyle JL. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull. 1987;19:11–15.
  19. 19. Lele S. Euclidean distance matrix analysis (EDMA): estimation of mean form and mean form difference. Math Geol. 1993;25:573–602. https://doi.org/10.1007/BF00890247
  20. 20. Srikanth M, Bharad SG, Thulasiram LB, Potdukhe NR. Studies on genetic variability, heritability and genetic advance in pumpkin (Cucurbita moschata Duch ex Poir.). Int J Curr Microbiol Appl Sci. 2017;6(6):1416–22. https://doi.org/10.20546/ijcmas.2017.606.166
  21. 21. Garcha KS, Verma N, Kaur B, Sharma M, Khosa JS, Dhatt AS. Physio-morphological characterization of interspecific hybridization-derived hull-less seeded lines for fruit and seed traits in pumpkin. Agricultural Research. 2024;13:429–35. https://doi.org/10.1007/s40003-024-00712-y
  22. 22. Barman A, Anshumali A. Genetic diversity estimates in landraces of pumpkin (Cucurbita moschata) from North Eastern Himalayan region of India using agro-morphological and molecular traits. Indian J Agric Sci. 2018;88(1):79–85. https://doi.org/10.56093/ijas.v88i1.79601
  23. 23. Gaikwad AG, Musmade AM, Dhumal SS, Sonawane HG. Variability studies in cucumber (Cucumis sativus L.). Ecol Environ Conserv. 2011;17(4):799–802.
  24. 24. Dabalo DY, Singh BCS, Weyessa B. Genetic variability and association of characters in linseed (Linum usitatissimum L.) plant grown in central Ethiopia region. Saudi J Biol Sci. 2020;27(8):2192–206. https://doi.org/10.1016/j.sjbs.2020.06.043
  25. 25. Begum T, Munda S, Pandey SK, Lal M. Estimation of selection criteria through multi-year assessment of variability parameters, association studies and genetic diversity of Solanum khasianum CB Clarke. Sci Hortic. 2022;297:110923. https://doi.org/10.1016/j.scienta.2022.110923
  26. 26. Singh O, Kumar J. Variability, heritability and genetic advance in brinjal. Indian J Hortic. 2005;62:265–67.
  27. 27. Chaudhari DJ, Acharya RR, Patel JN, Gohil SB, Bhalala KC. Variability, correlation and path analysis in pumpkin (Cucurbita moschata Duch. ex. Poir.). J Pharmacogn Phytochem. 2017;6(6):142–45. https://doi.org/10.20546/ijcmas.2017.606.360
  28. 28. Singh MK, Singh VB, Yadav GC, Kumar P. Studies on variability, heritability (narrow sense) and genetic advance analysis for growth, yield and quality traits in pumpkin (Cucurbita moschata Duch. ex. Poir). J Pharmacogn Phytochem. 2019;8:3621–24. https://doi.org/10.20546/ijcmas.2019.807.120
  29. 29. Magar BT, Acharya S, Gyawali B, Timilsena K, Upadhayaya J, Shrestha J. Genetic variability and trait association in maize (Zea mays L.) varieties for growth and yield traits. Heliyon. 2021;7(9):e07939. https://doi.org/10.1016/j.heliyon.2021.e07939
  30. 30. Rasheed A, Ilyas M, Khan TN, Mahmood A, Riaz U, Chattha MB, et al. Study of genetic variability, heritability, and genetic advance for yield related traits in tomato (Solanum lycopersicon Mill.). Front Genet. 2023;13(2):1–13. https://doi.org/10.3389/fgene.2022.1030309
  31. 31. Yunli W, Yangyang W, Wenlong X, Chaojie W, Chongshi C, Shuping Q. Genetic diversity of pumpkin based on morphological and SSR markers. Pak J Bot. 2020;52(2):477–87. https://doi.org/10.30848/PJB2020-2(6)
  32. 32. Chen R, Takamura K, Sugiyama K, Kami D, Shimomura K, Yoshioka Y. Genetic diversity assessment of Cucurbita genetic resources in Japan by nuclear and organelle DNA markers. J Hortic. 2021;90(4):382–92. https://doi.org/10.2503/hortj.UTD-292
  33. 33. Nyabera LA, Nzuki IW, Runo SM, Amwayi PW. Assessment of genetic diversity of pumpkins (Cucurbita spp.) from western Kenya using SSR molecular markers. Mol Biol Rep. 2021;48(3):2253–60. https://doi.org/10.1007/s11033-021-06245-9
  34. 34. Méndez-López A, Villanueva-Verduzco C, Sahagún-Castellanos J. Genetic diversity of parthenocarpic genotypes shrubby squash using molecular genetic markers. Rev Mex Cienc Agric. 2019;10(1):1–9. https://doi.org/10.29312/remexca.v10i1.1727
  35. 35. Fayeun LS, Omikunle AO, Famogbiele AA, Oyetunde OA. Phenotypic traits diversity in fluted pumpkin (Telfairia occidentalis Hook F.). Int J Plant Soil Sci. 2018;24(2):1–11. https://doi.org/10.9734/IJPSS/2018/16119
  36. 36. Hadia HA, Abdel-Razzak HS, Hafez EE. Assessment of genetic relationships among and within Cucurbita species using RAPD and ISSR markers. J Appl Sci Res. 2008;4(5):515–25.

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