Morpho-genetic variability, character association and diversity studies for yield attributing traits of mungbean [Vigna radiata (L.) Wilczek]
DOI:
https://doi.org/10.25081/jaa.2025.v11.9517Keywords:
Mungbean, Yield-traits, Correlation and path-coefficient, Principal component analysis, Cluster analysisAbstract
Crop improvement requires an understanding of genetic diversity and the relationships between different variables that affect seed yield. The goal of this study was to characterize twenty-two mungbean genotypes in order to estimate genetic variability, heritability, genetic advancement, and genetic diversity as well as the correlation coefficient for nine variables and the degree to which they are associated with yield. The experiment was conducted during Kharif-1 season of 2023 following a randomized complete block design with three replications. Data on key yield-attributing morphological traits viz., days to first flowering, days to maturity, plant height, number of branches plant-1, number of pods plant-1, pod length, number of seeds pod-1, 100-seed weight and yield plant-1 were recorded. Based on yield and traits attributed to yield, the genotypes BMX 11140, BMX 1148, BMX 11170, BMX 11111 and BARI Mung-6 were selected as promising genotypes. The highest differences between genotypic and phenotypic coefficients of variation were observed for number of branches plant-1, number of pods plant-1, yield plant-1, pod length and days to first flowering. High heritability coupled with high genetic advance as percentage of mean was recorded for the traits yield plant-1, number of pods plant-1 and 100-seed weight. Yield plant-1 showed a significant positive correlation with number of pods plant-1 (0.783**) and number of seeds pod-1 (0.738**). The traits number of pods plant-1, 100-seed weight, number of seeds pod-1, number of branches plant-1, pod length, plant height, and days to maturity exerted positive direct effect on yield plant-1 whereas days to first flowering showed negative effects. Principal component analysis revealed that the first three components explained 71.66% of the total variation among the genotypes. Cluster analysis grouped twenty-two genotypes into four distinct clusters where cluster III indicated the highest yield plant-1. The maximum inter cluster distance was observed between clusters III and II (2.33). Thus, the promising genotypes viz., BMX 11140, BMX 1148, BMX 11170, BMX 11111 and BARI Mung-6 isolated from this study can be used for developing high-yielding mungbean variety.
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Abna, F., Golam, F., & Bhassu, S. (2012). Estimation of genetic diversity of mungbean [Vigna radiata (L.) Wilczek] in Malaysian tropical environment. African Journal of Microbiology Research, 6(8), 1770-1775. https://doi.org/10.5897/AJMR11.1133
Agbeleye, O. A., Akinyosoye, S. T., & Adetumbi, J. A. (2021). Correlation, path coefficient and principal component analysis of yield components in mung bean [Vigna radiata (L.) Wilcezk] accessions. Tropical Agriculture, 97(4), 2012-2218.
Allard, R. W. (1960). Principles of plant breeding. New York, UK: John Wiley and Sons Inc.
Basnet, K. M., Adhikari, N. R., & Pandey, M. P. (2014). Multivariate analysis among the Nepalese and exotic mungbean [Vigna radiata (L.) Wilczek] genotypes based on the qualitative parameters. Universal Journal of Agricultural Research, 2(5), 147-153. https://doi.org/10.13189/ujar.2014.020502
BBS. (2023). Statistical year book of Bangladesh (pp. 109-110). Dhaka, Bangladesh: Bureau of Statistics, Government of Peoples Republic of Bangladesh.
Bhardwaj, R., Lone, J. K., Pandey, R., Mondal, N., Dhandapani, R., Meena, S. K., Khan, S., & Gayacharan. (2023). Insights into morphological and physio-biochemical adaptive responses in mungbean (Vigna radiata L.) under heat stress. Frontiers in Genetics, 14, 1112206. https://doi.org/10.3389/fgene.2023.1206451
Dahiya, P. K., Linnemann, A. R., Van Boekel, M. A. J. S., Khetarpaul, N., Grewal, R. B., & Nout, M. J. R. (2015). Mung bean: technological and nutritional potential. Critical Reviews in Food Science and Nutrition, 55(5), 670-688. https://doi.org/10.1080/10408398.2012.671202
Deshmukh, S. N., Basu, M. S., & Reddy, P. S. (1986). Genetic variability, character association and path coefficients of quantitative traits in Virginia bunch varieties of groundnut. Indian Journal of Agricultural Science, 56(12), 816-821.
Dewey, D. R., & Lu, K. H. (1959). A correlation and path-coefficient analysis of components of crested wheatgrass seed production. Agronomy Journal, 51(9), 515-518. https://doi.org/10.2134/agronj1959.00021962005100090002x
Freitas, R. M., Carvalho, M. A. C., Ribeiro, V. O., & Gomes, R. F. L. (2016). Genetic improvement of mungbean (Vigna radiata L. Wilczek): Advances and challenges. International Journal of Agriculture and Biology, 18(2), 272-279.
Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58(3), 453-467. https://doi.org/10.2307/2334381
Ghosh, S., Roy, A., & Kundagrami, S. (2019). Character association studies on yield and attributing traits of fifty-two mungbean [Vigna radiata (L.) Wilczek] genotypes. International Journal of Current Research and Review, 11(12), 25-28. https://doi.org/10.31782/IJCRR.2019.11125
Graham, P. H., & Vance, C. P. (2003). Legumes: importance and constraints to greater use. Plant Physiology, 131(3), 872-877. https://doi.org/10.1104/pp.017004
Gravois, K. A., & Helms, R. S. (1992). Path analysis of rice yield and yield components as affected by seeding rate. Agronomy Journal, 84(1), 1-4. https://doi.org/10.2134/agronj1992.00021962008400010001x
Hasan-Ud-Daula, M., & Sarker, U. (2020). Variability, heritability, character association, and path coefficient analysis in advanced breeding lines of rice (Oryza sativa L.). Genetika, 52(2), 711-726. https://doi.org/10.2298/GENSR2002711H
Islam, K. N., Khan, M. M. H., Islam, M. M., Uddin, M. M., & Latif, M. A. (2020). Performance of different cultivars of mungbean in coastal region of Bangladesh. SAARC Journal of Agriculture, 18(1), 161-172. https://doi.org/10.3329/sja.v18i1.48390
Jahan, I., Rahman, M. M., Tuzzohora, M. F., Hossain, M. A., Begum, S. N., Burritt, D. J., & Hossain M. A. (2020). Phenotyping of mungbean (Vigna radiata L.) genotypes against salt stress and assessment of variability for yield and yield attributing traits. Journal of Plant Stress Physiology, 6, 7-17. https://doi.org/10.25081/jpsp.2020.v6.6111
Jat, S. L., Shivay, Y. S., Parihar, C. M., & Meena, H. N. (2012). Evaluation of summer legumes for their economic feasibility, nutrient accumulation and soil fertility. Journal of Food Legumes, 25, 239-242.
Johnson, H. W., Robinson, H. F., & Comstock, R. E. (1955). Estimates of genetic and environmental variability in soybeans. Agronomy Journal, 47(7), 314-318. https://doi.org/10.2134/agronj1955.00021962004700070009x
Jollife, I. T., & Cadima, J. (2016). Principal component analysis: a review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2065), 20150202. https://doi.org/10.1098/rsta.2015.0202
Kumar, J., Choudhary, A. K., Solanki, R. K., & Pratap, A. (2011). Towards marker assisted selection in pulses. Plant Breeding, 130(3), 297-313. https://doi.org/10.1111/j.1439-0523.2011.01851.x
Lipton, M. (2001). Reviving global poverty reduction: What role for genetically modified plants? Journal of International Development, 13(7), 823-846.
Mehandi, S., Singh, I. P., Bohra, A., & Singh, C. M. (2015). Multivariate analysis in green gram [Vigna radiata (L.) Wilczek]. Legume Research, 38(6), 758-762. https://doi.org/10.18805/lr.v38i6.6720
Miller, P. A., Williams, J. C., Robinson, H. F., & Comstock, R. E. (1958). Estimates of genotypic and environmental variances in upland cotton and their implications in selection. Agronomy Journal, 50, 126-131.
Nair, R., & Schreinemachers, P. (2020). Global status and economic importance of mungbean. In R. M. Nair, R. Schafleitner & S.-H. Lee, (Eds.), The Mungbean Genome (pp. 1-8). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-20008-4_1
Noor, F., Ashraf, M., & Ghafoor, A. (2003). Path analysis and relationship among quantitative traits in chickpea (Cicer arietinum L.). Pakistan Journal of Biological Sciences, 6(6), 551-555. https://doi.org/10.3923/pjbs.2003.551.555
Sandhu, K., & Singh, A. (2021). Strategies for the utilization of the USDA mungbean germplasm collection for breeding outcomes. Crop Science, 61(1), 422-442. https://doi.org/10.1002/csc2.20322
Sarker, U., Biswas, P. S., Prasad, B., & Mian, M. A. K. (2001). Correlated response, relative selection efficiency and path analysis in cold tolerant rice. Bangladesh Journal of Plant Breeding and Genetics, 14, 33-36.
Singh, B., & Bains, T. S. (2014). Effective selection criteria for yield improvement in interspecific derivatives of Mungbean [Vignaradiata (L.) Wilczek]. Indian Journal of Applied Research, 4(11), 1-3.
Singh, P., Pandey, B., Pratap, A., Gyaneshwari, U., Nair, R. M., Mishra, A. K., & Singh, C. M. (2022). Genetic and genomics resources of cross-species Vigna gene pools for improving biotic stress resistance in mungbean (Vigna radiata L. Wilczek). Agronomy, 12(12), 3000. https://doi.org/10.3390/agronomy12123000
Singh, R., Ali, H., & Pathak, B. (2013). Non-hierarchical Euclidean cluster analysis in mungbean. Trends in Bioscience, 3(2), 135-136.
Tantasawat, P. A., Khajudparn, P., Prajongjai, T., & Poolsawat, O. (2015). Heterosis for the improvement of yield in mungbean [Vigna radiata (L.) Wilczek]. Genetics and Molecular Research, 14, 10444-10451.
Thirtle, C., Lin, L., & Piesse, J. (2003). The impact of research-led agricultural productivity growth on poverty reduction in Africa, Asia and Latin America. World Development, 31(12), 1959-1975. https://doi.org/10.1016/j.worlddev.2003.07.001
Ullah, A., Shah, T. M., & Farooq, M. (2020). Pulses production in Pakistan: Status, constraints, and opportunities. International Journal of Plant Production, 14, 549-569. https://doi.org/10.1007/s42106-020-00108-2
Van Haeften, S., Dudley, C., Kang, Y., Smith, D., Nair, R. M., Douglas, C. A., Potgieter, A., Robinson, H., Hickey, L. T., & Smith, M. R. (2023). Building a better mungbean: breeding for reproductive resilience in a changing climate. Food and Energy Security, 12(6), e467. https://doi.org/10.1002/fes3.467
Ward, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236-244. https://doi.org/10.1080/01621459.1963.10500845
Yimram, T., Somta, P., & Srinives, P. (2009). Genetic variation in cultivated mungbean germplasm and its implication in breeding for high yield. Field Crops Research, 112(2-3), 260-266. https://doi.org/10.1016/j.fcr.2009.03.013
Zhao, T., Meng, X., Chen, C., Wang, L., Cheng, X., & Xue, W. (2022). Agronomic traits, fresh food processing characteristics and sensory quality of 26 mung bean (Vigna radiata L.) cultivars (Fabaceae) in China. Foods, 11(12), 1687. https://doi.org/10.3390/foods11121687
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Copyright (c) 2025 Arup Jyoti Biswas, Biswajit Das, Sadia Akter, Adrita Abdullah, Fauzia Afrin Aurin , Mohammad Anwar Hossain

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