Main Article Content
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
Article Details
Copyright (c) 2023 Environment Conservation Journal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
- 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.
- 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.
- 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
- 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.
- 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
- 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).
- 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
- 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
- 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
- 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
- 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.
- 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
- 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.
- 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
- Rao, C.R. (1952). Advanced statistical methods in biometrical research. John Wiley and Sons Inc NY.
- 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
- 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
- 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.
References
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.
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.
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
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.
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
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).
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
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
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
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
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.
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
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.
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
Rao, C.R. (1952). Advanced statistical methods in biometrical research. John Wiley and Sons Inc NY.
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
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
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.