PPublicator
Sign in
SSRDSociety for Soybean Research and Development
Submit

Integrative Genetic Diversity and Disease Resistance Analysis for Identification of superior Genotypes in soybean

Kumari Alka, Nutan Verma, Savita Ekka, Shivam Mishra, Kundan Kumar

Published 9/17/2026

PDF2.3 MB

Abstract

A field experiment was conducted during kharif 2024 at Birsa Agricultural University, Ranchi, to evaluate 30 soybean genotypes for genetic divergence, yield, quality traits, and resistance to Rhizoctonia aerial blight and bacterial blight under natural field conditions. The experiment was laid out in a randomized block design with three replications, and data were analysed using Mahalanobis D2 statistics, Tocher's clustering, and percent disease index (PDI). The genotypes were grouped into four clusters, showing substantial genetic variability, with Cluster I found early maturing and Cluster IV high yielding. The maximum inter-cluster distance between Clusters II and III indicated good scope for hybridization. Branches per plant contributed most to divergence, followed by days to maturity and plant height. BAUS(M)-15 showed complete resistance to both diseases, while BAUS(M)-11 recorded the highest yield with good oil and protein content. The study identified BAUS(M)-15, BAUS(M)-11, BAUS-102, MACS-1140, and BAUS-103 as promising parents for soybean improvement.

Keywords

Rhizoctonia aerial blightBacterial BlightDisease resistanceGenetic Diversity

References

  1. [1]Anonymous (2024). Agricultural Statistics at a glance 2024, Ministry of Agriculture and Department of Agriculture, Animal Husbandry & Co-operative Jharkhand.
  2. [2]Verma, H. S., & Thapliyal, P. N. (1976). Rhizoctonia aerial blight of soybean.
  3. [3]Rao, C. R. (1952). Advanced statistical methods in biometric research.
  4. [4]Joshi, D., Singh, P., & Adhikari, S. (2018). Study of Genetic Divergence in Soybean Germplasm. Chemical Science Review and Letters 7(26): 533–539.
  5. [5]Patil, S. S., Patil, P. P., Lodam, V. A., & Chaudhari, M. H. (2011). Genetic diversity in soybean. Journal of Phytology 3(2): 95–102.
  6. [6]Roja, K. S., Kavuri, S. R., & Rani, P. R. (2022). Genetic diversity studies in soybean (Glycine max (L.) Merrill) germplasm lines based on Mahalanobis D² distance. Biological Forum – An International Journal 14(2): 11–16.
  7. [7]Zatybekov, A., Karimov, K., Sarsenbekova, A., Ibragimov, T., Abugalieva, A., & Turuspekov, Y. (2023). Genetic diversity and population structure analysis of soybean (Glycine max (L.) Merrill) genotypes using agro-morphological traits and SNP markers. Genes 14(11): 1373.
  8. [8]Amrate, P. K., Shrivastava, M. K., & Singh, G. (2020). Screening of genotypes to identify the resistance source against major diseases of soybean under high disease pressure conditions. Int. J. Curr. Microbiol. App. Sci, 9(5), 1739-1745.
  9. [9]Surbhi, K., Singh, K. P., & Jeena, H. (2022). Evaluation of soybean genotypes for resistance against bacterial leaf blight under field conditions. The Pharma Innovation Journal 11(8): 1111-1114.
  10. [10]Mayee, C. D., & Datar, V. V. (1986). Phytopathometry, Technical Buletien-1 (Special Buletein-3), Marathwada Agric. Univ. Parbhani, India, 218.