{"references": ["Arunachalam, V. (1981). Genetic distance in plant breeding. Indian Journal of Genetics and Plant Breeding, 41, 226-236.", "Mishra, A., Singh, R. K., L, N. K., & Kumar, P. Study on Genetic Diversity in Indian Mustard (Brassica juncea L. Czern. & Coss).", "Mustard, T.I.I. Genetic divergence for seed yield and component traits in indian mustard [Brassica juncea (L.) Czern & Coss.] RK Chaurasia*, Ram Bhajan and GR Chougule GB Pant university of agriculture & technology, Pantnagar (Uttarakhand).", "Kumar, B., Pandey, A., & Singh, S. K. (2013). Genetic diversity for agro-morphological and oil quality traits in Indian mustard (Brassica juncea L. Czern & Coss). The Bioscan, 8(3), 771-775.", "Lodhi, B., Thakral, N. K., Singh, D., Avtar, R., & Bahadur, R. (2016). Genetic diversity analysis in Indian mustard (Brassica juncea). Journal of Oilseed Brassica, 1(2), 57-60", "Mahalanobis, P. C. (2018). On the generalized distance in statistics. Sankhy\u0101: The Indian Journal of Statistics, Series A (2008-), 80, S1-S7.", "Rao, C. R. (1952). Advanced statistical methods in biometric research.", "Roy, R. K., Kumar, A., Kumar, S., & Kumar, A. (2016). Genetic variability, correlation, path analysis and genetic diversity studies in late sown mustard (Brassica juncea L. Czern & Coss.). The Bioscan, 11(4), 3117-3124.", "Neelam, S., Jadeja, G. C., & Jogendra, S. (2014). Genetic diversity analysis in relation to seed yield and its component traits in Indian mustard (Brassica juncea L. Czern & Coss). The Bioscan, 9(2 Supplement), 713-717", "Singh, R. K. (1985). Biometrical methods in quantitative genetic analysis. Kalyani Pub. Ludhiana. New Delhi, Revised Ed., 318."]}

The field experiment comprising 68 Rapeseed-Mustard genotypes was conducted during Rabi 2019-2020 at Jaguli Instructional Farm, Mohanpur, BCKV, West Bengal. Morphological characterization and grouping of 68 Rapeseed-Mustard genotypes by D2 analysis revealed that genotypic differences for all most all the traits were highly significant indicating considerable amount of genetic variability for the characters under study. Sixty-eight genotypes were grouped in to twelve clusters based on Mahalanobis D2 statistics. Cluster X had maximum number of genotypes. It is evident from the inter cluster distance that the most divergent clusters were V and XII followed by cluster I and V suggesting wide diversity between them and the genotypes in these clusters could be used as parents in hybridization program. The cluster means of fifteen characters in D2 statistics were observed basis on which genotypes from these different clusters may be utilised as source lines for development of Rapeseed-Mustard varieties with high yield, early maturity and other desirable characters in crossing program.