Agricultural Research

, Volume 7, Issue 2, pp 225–231 | Cite as

Profiling of Mineral Nutrients and Variability Study in Pumpkin (Cucurbita moschata) Genotypes

  • Arvind Nagar
  • Amish Kumar Sureja
  • Abhijit Kar
  • Rakesh Bhardwaj
  • S. Gopala Krishnan
  • Anilabha Das Munshi
Full-Length Research Article


The present investigation was carried out to estimate the extent genetic variability and character association for fruit yield and nine mineral nutrients (sodium, potassium, calcium, magnesium, iron, manganese, copper, zinc and selenium) in 76 genotypes of pumpkin during spring–summer season of the year 2014. The experimental results revealed significant differences among the genotypes for all the traits under study. Based on mean performance, the genotypes DPU-6, DPU-26 and DPU-51-3 were found most promising for different mineral nutrients and fruit yield per plant. Further, high heritability estimates coupled with high genetic gain were observed for all the traits under study, which indicated that these traits are under additive gene effects and are more reliable for effective selection. The correlation coefficients (phenotypic and genotypic) among different minerals along with fruit yield per plant depict that fruit yield per plant has significantly positive association with calcium (0.187 and 0.216) and magnesium (0.149 and 0.155) content. Path coefficient analysis at genotypic level revealed that iron has maximum positive direct effect (0.374) on marketable fruit yield per plant, followed by calcium (0.198) and copper (0.037). Besides, maximum positive indirect effect of manganese (0.331) and copper (0.265) via iron was observed on the fruit yield per plant.


Correlation Cucurbita moschata Genetic variance Mineral nutrient Additive gene effect Calcium Copper Iron Manganese Fruit yield 



Arvind Nagar is thankful to the ICAR, New Delhi for providing JRF. The authors are grateful to Director, ICAR-IARI, for providing necessary facilities for this study.


  1. 1.
    Akter S, Rasul MG, Islam AKMA, Hossain MM (2013) Genetic variability, correlation and path coefficient analysis of yield and quality traits in pumpkin (Cucurbita moschata Duch ex Poir.). Bangladesh J Pl Breed Genet 26(1):25–33Google Scholar
  2. 2.
    Al-Jibouri HW, Miller PA, Robinson HF (1958) Genotypic and environmental variances and co-variances in an upland cotton cross of interspecific origin. Agron J 50:633–636CrossRefGoogle Scholar
  3. 3.
    Allard RW (1960) Principles of plant breeding. Wiley, New York, p 485Google Scholar
  4. 4.
    Anonymous (2012) ICAR-Indian Agricultural Statistics Research Institute. Accessed 14 May 2015
  5. 5.
    Blessing AC, Ifeanyi UM, Chijioke OB (2011) Nutritional evaluation of some Nigerian pumpkins (Cucurbita spp.). Fruit, Vegetable and Cereal Sci Biotechnol 5(2):64–71Google Scholar
  6. 6.
    Bose TK, Som MG (1998) Vegetable crops in India. Naya Prokash, Calcutta, pp 92–95Google Scholar
  7. 7.
    Burton GW, De Vane DH (1953) Estimating heritability in tall fescue (Festuca arundinacea) from replicated clover materials. Agron J 45:478–481CrossRefGoogle Scholar
  8. 8.
    Cyril N, Denton DA, Oyelana O (2014) Genetic variability and heritability of vegetative, fruit and seed yield traits in fluted pumpkin (Telfairia occidentalis Hook F.). African J Biotech 13(32):3262–3270CrossRefGoogle Scholar
  9. 9.
    Dewey DR, Lu KH (1959) A correlation and path coefficient analysis of components in crested wheat grass and seed production. Agron J 51:515–518CrossRefGoogle Scholar
  10. 10.
    Fayeun LS, Odiyi AC, Makinde SCO, Aiyelari OP (2012) Genetic variability and correlation studies in the fluted pumpkin (Telfairia occidentalis Hook F.). J Plant Breed Crop Sci 4(10):156–160Google Scholar
  11. 11.
    Gomez KA, Gomez AA (1983) Statistical procedures for agricultural research. Wiley, New York, pp 357–427Google Scholar
  12. 12.
    Grant CA, Clarke JM, Duguid S, Chaney RL (2008) Selecting and breeding of plant cultivars to minimize cadmium accumulation. Sci Total Environ 390:301–331CrossRefPubMedGoogle Scholar
  13. 13.
    Johnson HW, Robinson HF, Comstock RE (1955) Estimates of genetic and environmental variability in soybean. Agron J 47:314–318CrossRefGoogle Scholar
  14. 14.
    Kopsell DE, Kopsell DA, Lefsrud MG, Curran-Celantano J (2004) Variability in elemental accumulations among leafy Brassica oleracea cultivars and selections. J Plant Nutr 27:1813–1826CrossRefGoogle Scholar
  15. 15.
    Kumar J, Singh RK, Pal K (2011) Variability and character association in pumpkin (Cucurbita moschata Duch. ex. Poir). Indian J Agric Res 45(1):87–90Google Scholar
  16. 16.
    Marschner H (1995) Mineral nutrition of higher plants. Academic Press, LondonGoogle Scholar
  17. 17.
    Muralidhara MS, Gowda NCN, Narayanaswamy P (2014) Genetic variability studies in pumpkin (Cucurbita moschata Duch. ex Poir.). Indian Hort J 4(2):105–107Google Scholar
  18. 18.
    Nwofia GE, Victoria NN, Nwofia K (2012) Nutritional variation in fruits and seeds of pumpkins (Cucurbita spp.) accessions from Nigeria. Pakistan J Nutr 11(10):946–956CrossRefGoogle Scholar
  19. 19.
    Selvi NAT, Jansirani P, Pugalendhi L, Nirmalakumari A (2012) Per se performance of genotypes and correlation analysis in pumpkin (Cucurbita moschata Duch. ex Poir.). Electron J Plant Breed 3(4):987–994Google Scholar
  20. 20.
    Swaminathan MS (1999) Enlarging the basis of food security: Role of unutilized species. In: Proceedings of the International Consultation organized by the Genetic Resources Policy Committee (GRPC) of CGIAR, M.S. Swaminathan Research Foundation, Chennai, India, February 17–19, 1999Google Scholar
  21. 21.
    Thamburaj S, Singh N (eds) (2004) Vegetables, Tuber Crops and Spices. ICAR, New DelhiGoogle Scholar

Copyright information

© NAAS (National Academy of Agricultural Sciences) 2018

Authors and Affiliations

  • Arvind Nagar
    • 1
  • Amish Kumar Sureja
    • 1
  • Abhijit Kar
    • 2
  • Rakesh Bhardwaj
    • 3
  • S. Gopala Krishnan
    • 4
  • Anilabha Das Munshi
    • 1
  1. 1.Division of Vegetable ScienceICAR-Indian Agricultural Research InstituteNew DelhiIndia
  2. 2.Division of Post Harvest TechnologyICAR-Indian Agricultural Research InstituteNew DelhiIndia
  3. 3.Germplasm Evaluation DivisionICAR-NBPGRNew DelhiIndia
  4. 4.Division of GeneticsICAR-Indian Agricultural Research InstituteNew DelhiIndia

Personalised recommendations