Study of Genetic Divergence for Yield and Quality Traits in Cowpea [Vigna unguiculata (L.) Walp.]

DOI: 10.18805/LR-4297    | Article Id: LR-4297 | Page : 410-414
Citation :- Study of Genetic Divergence for Yield and Quality Traits in Cowpea [Vigna unguiculata (L.) Walp.].Legume Research.2022.(45):410-414
Sanjeev Vaggar, Udit Kumar, K. Prasad, L.M. Yadav, Pramila, B.M. Sinha udithort@gmail.com
Address : Department of Horticulture, Dr. Rajendra Prasad Central Agricultural University, Pusa-848 125, Bihar, India.
Submitted Date : 10-12-2019
Accepted Date : 15-04-2020


Background: The genetic divergence analysis was done using Mahalanobis D2 statistics. The mean intra-cluster and inter-cluster D2 values are compared for drawing conclusions on superiority of cowpea genotypes for various plant yield and quality attributes.
Methods: In the field of Vegetable Research Farm of Department of Horticulture, RPCAU, Pusa, Indiaduring 2018-19 (Rainy season) thirty-three cowpea genotypes were taken for genetic divergence analysis. The genotypes exhibited marked divergence and thus grouped into clusters following Tocher’s method of clustering. The mean intra-cluster and inter-cluster D2 values among the clusters were compared for their superiority of yield and quality attributes. 
Result: All the selected genotypes displayed marked divergence. Among the five clusters, cluster I consisted eight, cluster II had three, cluster III had eleven, cluster IV had nine and cluster V had two genotypes. The clustering pattern had no parallelism between genetic diversity and geographical distribution, suggesting that the selection of parental genotypes for hybridization will be more appropriate based on genetic diversity. The intra-cluster D2 values ranged from 0.00 in cluster II, cluster III, cluster IV and cluster V to 16.12 in cluster I. The inter-cluster D2 values revealed that highest inter-cluster generalized distance (44.50) was between cluster V and cluster III, while it was the lowest (20.12) between cluster II and cluster I. From this study it can be concluded that for selection and heterotic recombinants emphasis may be given to attributes such as seed germination percentage, peduncle length and average pod weight to enhance the yield of cowpea. Similarly, with respect to the clusters for obtaining the heterotic recombinants, genotypes placed in cluster V, cluster II and cluster III may be used in the crossing program. 


Clusters Cowpea Divergence Genotype Mahalanobis D2


  1. Anonymous (2017). UN FAO Annual Report, Food and Agriculture Organization of the United States, Rome, Italy.
  2. Anonymous (2020a). Indian Horticulture Database, National Horticulture Board, Ministry of Agriculture, Government of India, Gurgaon, Haryana, India.
  3. Anonymous (2020b). Agricultural and Processed Food Products Export Development Authority, Ministry of Commerce, Government of India, New Delhi, India.
  4. Borah, H.K. and Khan, A.K.F. (2002). Genetic divergence in fodder cowpea [Vigna unguiculata (L.) Walp.]. Madras Agricultural Journal. 88: 625-628.
  5. Bakiyarani, S., Nadarajan, N., Rajendran, C. and Shanthi, S. (2000). Genetic divergence for physiological traits in cowpea [Vigna unguiculata (L.) Walp.]. Legume Research. 23: 114-117. 
  6. Brahmaiah, M., Jhansirani, K., Sunil, N. and Keshavulu, K. (2014). Genetic divergence in cowpea [Vigna unguiculata (L.) Walp.]. Electronic Journal of Plant Breeding. 5: 107-111. 
  7. Dahiya, O. P., Mishra, S. K. and Singh, D. (2007). Genetic variability in cowpea [Vigna unguiculata (L.) Walp.]. J. Arid Legumes. 4(2): 107-109. 
  8. Dalsaniya, S.B., Pansuriya, A.G. and Devada, B.K. (2009). Genetic divergence in cowpea [Vigna unguiculate (L.) walp.]. Legume Research. 32: 250-245.
  9. Darlington, C.D and Wylie, A.P. (1955).Chromosome Atlas of Flowering Plants. George Allen and Unwin Ltd London. The United Kingdom.
  10. Diouf, D. (2014). Recent advance in cowpea [Vigna ungiculata (L.) Walp.]. Omies Research for Genetic Improvement. Africa Journal of Biotechnology. FAO http//WWW. fao.stat.fao.org, 10: 2803-2810.
  11. Dovi, K.P. (2013). Whole grain sorghum and whole-grain cowpea biscuits as a complementary food for improved child nutrition, M.Sc. Food Science thesis. University of Pretoria, South Africa. 
  12. Hall, A. E, Cisse, N., Thiaw, S., Elawad, H.O.and Ehler, J.D. (2003). Development of cowpea cultivar and germplasm by Cowpea CRSP, Field Crop Research. 82: 103-134.
  13. Jogdhande, Srinivas, Vijay, S., Kale, P.K. and Nagre. (2017). Correlation and path analysis study in cowpea [Vigna unguiculata (L.) Walp.] genotypes. International Journal of Current Microbiology and Applied Sciences. 6: 3305-3313.
  14. Kumar, R. and Kumar, M. (2015). Estimation of genetic divergence in garden pea (Pisum sativum var. hortense L.) germplasm to facilitate the selection of potential parents for hybridization programme. Legume Research. 39: 709-712.
  15. Kumari, R.U., Usharani, K.S., Suguna, R. and Anadkumar, C.R. (2010). Relationship between the yield contributing characters in cowpea for grain purpose (Vigna unguiculata (L.) Walp.]. Electronic Journal of Plant Breeding. 1: 882-884.
  16. Kwaga, Y.M. (2014). Correlation coefficient between kernel yield of groundnut (Arachis hypogaea L.). American Journal of Research Communication. 2: 82-90.
  17. Mackie, W.W. and Smith, F.L. (1935).Evidence of field hybridization in beans. Journal American Society Agronomy. 27: 903-908.
  18. Madheshia, S.K. and Pandey, I.D. (2005). Studies on biodiversity in grain cowpea. Indian Journal of Plant Genetic Recourse. 18: 217-220.
  19. Mahalanobis, P.C. (1936). On the generalized distance in statistic. Proceedings of National Institute of Science, India. 2: 49-55.
  20. Manggoel, W., Uguru, M.I., Ndam, O.N. and Dasbak, M.A. (2012). Genetic variability, Correlation and path coefficient analysis of some yield component of ten cowpea [Vigna unguiculata (L.) Walp.]. Journal of Plant Breeding and Crop Science. 4: 80-86.
  21. Meena, B.L., Das, S.P., Kandpal, B.K. and Nagachan, S.V. (2017). Genetic estimates and character association studies in field pea (Pisum sativum L.). National Journal of Plant Improvement. 7: 169-174.
  22. Mishra, S.K. and Singh, D. (2007).Correlation and path coefficient analysis in cowpea [Vigna unguiculata (L.) Walp.]. Journal of Arid Legumes. 4: 127-129.
  23. Ng, N.Q. and Marechal, R. (1985) Cowpea taxonomy, origin and germplasm in Cowpea research, production and utilization. (Singh, S.R. and Rachie, K.O.) Wiley, New York, 11-21.
  24. Nwosu, D.J., Olatunbosun, B.D. and Adetiloye, I.S. (2013). Genetic variability, heritability and genetic advance in cowpea genotypes in two agro-ecological environments. Greener Journal of Biological Science. 3: 202-207.
  25. Prasad, K., Guarav, A., Preethi, P. and Neha, P. (2018a). Edible coating technology for extending market life of horticultural produce, Acta Scientific Agriculture. 2: 55-64.
  26. Prasad, K., Jacob, S. and Siddiqui, M.W. (2018b). Fruit Maturity, harvesting and quality standards. Preharvest modulation of postharvest fruit and vegetable quality. Elsevier publications. Academic Press. USA. 41-69.
  27. Salimath, P.M., Birander, S., Gowda, L. and Uma, M.S. (2007). Variability parameters in F2 and F3 populations of Cowpea involving determinate, semi-determinate and indeterminate. Karnataka Journal of Agricultural Sciences. 20: 255-256.
  28. Singh, B.B., Chambliss, O.L. and Shamar, B. (1997). Recent advances in cowpea breeding. IITAJIRCAS, Ibadan, Nigeria.
  29. Singh, O.V., Shekhawat, N., Singh, K. and Gowthami, R. (2018). Genetic divergence studies in cowpea [Vigna unguiculata (L.) Walp.]. germplasm using Mahalanobis D2 analysis. International Journal of Current Microbiology and Applied Science. 7: 2616-2624.
  30. Singh, S.C. and Srivastava, P. (2017). Field screening of green gram [Vigna radiate (L.) Wilczek]. Genotypes against spotted pod borer, Maruca vitrata (Fabricauas). Journal of Entomology and Zoology Studies. 5: 1161-1165.
  31. Vavilov, N.I. (1949). The origin, variation, immunity and breeding of cultivated plants. Chronica Botanica. 13: 1-54.
  32. Venkatesan, M., Prakash, M. and Ganesan, J. (2003). Correlation and path analysis in cowpea [Vigna unguiculata (L.) Walp.]. Legume Research. 26: 105-108.
  33. Venkatesan, M., Veeramani, N., Thangaveal, P. and Ganesan, J. (2004). Genetic divergence in cowpea [Vigna unguiculata (L.) Walp.]. Legume Research. 27: 223-225.

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