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Abstract

Forty mungbean genotypes were evaluated for fourteen quantitative traits, planted in Randomized Complete Block Design with three replications. Mahalanobis' generalised distance D2 was used to assess the character data and Principal Component Analysis for estimating genetic diversity and identification of superior mungbean genotypes. Following Tocher's technique, the 40 genotypes were divided into 7 clusters in accordance with their genetic distance. Among them four clusters were polygenotypic and three were monogenotypic. The genotypes of cluster IV and VII showed highest (40.51) inter cluster distance followed by cluster III and VII (39.04). Cluster V has been discovered to have the largest intra-cluster distance. In order to increase the genetic diversity of Vigna radiata, genotypes from these clusters may be crossed. Based on Principal Component Analysis results, 5 PCs explained 75.87% of the variation among the 14 parameters and had eigen values greater than unit. Only six genotypes—TJM-37, TJM-134, TJM-140, TJM-235, Shikha, and PM-1632—contained with favourable yield and quality associated PCs, and had outstanding remark for yield traits—out of all genotypes contributing their existence in more than one PC with high PC score. These lines may be used in hybridization programmes to transmit desirable features, such as high yield and high quality, to recipient mungbean genotypes, resulting in the creation of promising cultivars.

Keywords

Cluster analysis Greengram Mahalanobis D2 PCA Tocher method

Article Details

How to Cite
Rahangdale, S., Lakhani, J. P., Singh, S. K., Barela, A., Kumar, P., & Prajapati, S. S. (2023). Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes . Environment Conservation Journal, 24(3), 40–46. https://doi.org/10.36953/ECJ.15472494

References

  1. Directorate of Economics and Statistics (2022). Third advance estimates of Production of Food grains for 2021-22. Department of Agriculture and Farmers Welfare, Government of India.
  2. Divyaramakrishnan, C.K. & Savithramma, D.L. (2014). Tailoring genetic diversity of mungbean [Vigna radiata (L). Wilczek] germplasm through principal component and cluster analysis for yield and yield related traits. International Journal of Agronomy and Agricultural Research, 5(2), 94-102.
  3. Fetemeh, A., Faruq, G. & Subha, B. (2012). Estimation of genetic diversity of mungbean (Vigna radiata L. Wilczek) in Malaysian tropical environment. African Journal of Microbiology Research, 6(8), 1770-1775. DOI: https://doi.org/10.5897/AJMR11.1133
  4. Gadakh, S.S., Dethe, A.M., Kathale, M.N. & Kahate, N.S. (2013). Genetic diversity for yield and its component traits in green gram [Vigna radiata (L.) Wilczek]. Journal of crop and weed, 9(1), 106-109.
  5. Garg, G.K., Verma, P.K., Kesh, H. & Kumar, A. (2017). Genetic variability, character association and genetic divergence for seed quality traits in mungbean [Vigna radiata (L.) Wilczek]. Indian Journal of Agricultural Research, 51(6). DOI: https://doi.org/10.18805/IJARe.A-4929
  6. Gokulakrishnan, J., Sunil Kumar, B. & Prakash, M. (2012). Studies on genetic diversity in mung bean (Vigna radiata L.). Legume Research: An International Journal, 35(1).
  7. Goyal, L., Intwala, C.G., Modha, K.G. & Acharya, V.R. (2021). Association and diversity analysis for yield attributing traits in advance generation of green gram (Vigna radiata (L.) Wilczek). International Journal of Chemical Studies, 9(1), 1934-1939. DOI: https://doi.org/10.22271/chemi.2021.v9.i1aa.11504
  8. Gupta, D., Muralia, S., Gupta, N.K., Gupta, S., Jakhar, M.L. & Sandhu, J.S. (2021). Genetic Diversity and Principal Component Analysis in Mungbean [Vigna radiata (L.) Wilczek] under Rainfed Condition. Legume Research-An International Journal, 1, 8. DOI: https://doi.org/10.18805/LR-4568
  9. Jadhav, R.A., Mehtre, S.P., Patil, D.K. & Gite, V.K. (2021). Multivariate Analysis using D2 and Principal Component Analysis in Mung bean [Vigna radiata (L.) Wilczek] for Study of Genetic Diversity. Legume Research-An International Journal, 1, 8. DOI: https://doi.org/10.18805/LR-4508
  10. Kang, Y.J., Kim, S.K., Kim, M.Y., Lestari, P., Kim, K.H., Ha, B.K., Jun, T.H., Hwang, W.J., Lee, T., Lee, J. & Shim, S. (2014). Genome sequence of mungbean and insights into evolution within Vigna species. Nature communications, 5(1), 1-9. DOI: https://doi.org/10.1038/ncomms6443
  11. Kumar, S. & Kumar, R. (2014). Genetic improvement of mungbean for yield, nutrition and resistance to stresses-A review. International Journal of Tropical Agriculture, 32(3/4), 683–687.
  12. Mahalingam, A., Manivanan, N., Kumar, K.B., Ramakrishnan, P. & Vadivel, K. (2020). Character association and principal component analysis for seed yield and its contributing characters in greengram (Vigna radiata (L.) Wilczek). Electronic Journal of Plant Breeding, 11(01), 259-262. DOI: https://doi.org/10.37992/2020.1101.043
  13. Markam, N.K., Nair, S.K., Nanda, H.C. & Lakpale, N. (2018). Studies on allelic relationship for resistance to mungbean yellow mosaic virus disease in mungbean genotypes. International Journal of Chemical Studies, 6(2), 2401-2403.
  14. Rahangdale, S., Singh, Y., Upadhyay, P.K. & Koutu, G.K. (2021). Principal component analysis of JNPT lines of rice for the important traits responsible for yield and quality. Indian Journal of Genetics and Plant Breeding, 81(01), 127-131. DOI: https://doi.org/10.31742/IJGPB.81.1.14
  15. Rao, C.R. (1952). Advanced statistical methods in biometrical research. John Wiley and Sons Inc NY.
  16. Vairam, N., Lavanya, S.A., Muthamilan, M. & Vanniarajan, C. (2016). Screening of M3 mutants for yellow vein mosaic virus resistance in greengram [Vigna radiata (L.) wilczek]. International Journal of Plant Science, 11(2), 265–269. doi: 10.15740/HAS/IJPS/11.2/265-269. DOI: https://doi.org/10.15740/HAS/IJPS/11.2/265-269
  17. Win, K.S., Win, S., Htun, T.M. & Win, N.K.K. (2020). Characterization and evaluation of mungbean [Vigna radiata (L.) Wilczek] germplasm through morphological and agronomic characters. Indian Journal of Agricultural Research, 54(3), 308-314. DOI: https://doi.org/10.18805/IJARe.A-520
  18. Yagoob, H. & Yagoob, M. (2014). The effects of water deficit stress on protein yield of mungbean genotypes. Peak Journal of Agricultural Science, 2(3), 30-35.