Skip to main navigation menu Skip to main content Skip to site footer

Research Articles

Vol. 12 No. sp4 (2025): Recent Advances in Agriculture by Young Minds - III

Resistance profiling of soybean RILs against yellow mosaic virus and charcoal rot under field conditions

DOI
https://doi.org/10.14719/pst.9379
Submitted
8 May 2025
Published
17-10-2025 — Updated on 24-10-2025
Versions

Abstract

Soybean (Glycine max) is a vital leguminous crop that faces significant yield losses due to an array of biotic stresses, particularly Yellow Mosaic Virus (YMV) and Charcoal Rot (CR). Present investigation aimed to evaluate the putative resistance of 118 soybean genotypes, including 115 Recombinant Inbred Lines (RILs) along with three checks viz., JS 97-52, NRC-37 and JS 335, under natural disease pressure at JNKVV, Jabalpur, Madhya Pradesh., India well known a hotspot centre for both YMV and CR diseases for a long time. The genotypes were assessed at different growth stages and disease severity classified based on standard rating scales. Among the tested genotypes, 19 RILs displayed high resistance to YMV, while 63 were resistant including the check (62 RILs; a JS 97-52 check), 6 moderately resistant, 8 moderately susceptible including check NRC 37, 16 susceptible including the check JS-335 (15 RILs; 1 check) and 6 highly susceptible. For CR disease, 21 RILs were identified resistant, 41 moderately resistant including the check, JS 97-52 (40 RILS; a check), 22 moderately susceptible including checks JS 335 and NRC 37 (20 RILS; 2 checks), 8 susceptible and 26 highly susceptible. Markedly, 29 RILs demonstrated resistance against both YMV and CR diseases, allowing them valuable candidates for incorporation as donor parents. The findings highlighted the genetic variability of genotypes to disease resistance and the aptitude for selecting resistant line (s) for soybean improvement. The identified resistant genotype (s) can be utilized in breeding programmes to develop high yielding, disease resistant cultivar (s), contributing to sustainable production and reduced reliance on chemical disease management strategies.

References

  1. 1. Coleman K, Whitmore AP, Hassall KL, Shield I, Semenov MA, Dobermann A, et al. The potential for soybean to diversify the production of plant-based protein in the UK. Science of The Total Environment. 2021;767:144903. https://doi.org/10.1016/j.scitotenv.2020.144903
  2. 2. Mishra N, Tripathi MK, Tiwari S, Tripathi N, Sapre S, Ahuja A, Tiwari S. Cell suspension culture and in vitro screening for drought tolerance in soybean using poly-ethylene glycol. Plants. 2021;10(3):517. https://doi.org/10.3390/plants10030517
  3. 3. Satpute GK, Ratnaparkhe MB, Chandra S, Kamble VG, Kavishwar R, Singh AK, et al. Breeding and molecular approaches for evolving drought-tolerant soybeans. In: Plant Stress Biology. Singapore: Springer Singapore; 2020:83-130. https://doi.org/10.1007/978-981-15-9380-2_4
  4. 4. Ramlal A, Nautiyal A, Lal SK, Chigeza G. Editorial: A wonder legume, soybean: prospects for improvement. Frontiers in Plant Science. 2023;14:1294185. https://doi.org/10.3389/fpls.2023.1294185
  5. 5. Mishra R, Shrivastava MK, Tripathi MK, Amrate PK, Singh Y, Solanki R, et al. Unravelling soybean yield potential: exploring trait synergy, impact pathways, multidimensional patterns and biochemical insights. Plant Science Today. 2025;12(2):1-10.
  6. https://doi.org/10.14719/pst.6401
  7. 6. Mishra R, Tripathi M, Tripathi N, Singh J, Tiwari S. Nutritional and anti-nutritional factors in soybean. Acta Scientific Agriculture. 2024;8(11):46-63.
  8. 7. Mishra R, Shrivastava MK, Amrate PK, Sharma S, Singh Y, Tripathi MK. Phenotypic diversity and trait analysis of soybean recombinant inbred lines. Plant Cell Biotechnology and Molecular Biology. 2025;26(7-8):32-52. https://doi.org/10.56557/pcbmb/2025/v26i7-89345
  9. 8. Mishra R, Tripathi MK, Tripathi N, Singh J, Yadav PK, Sikarwar RS, et al. Breeding for major genes against drought stress in soybean. In: Tripathi MK, Tripathi N, editors. Advances in Plant Biotechnology. Cornous Publications LLP, Puducherry, India; 2024:22-68.
  10. 9. Hosseini B, Voegele RT, Link TI. Diagnosis of soybean diseases caused by fungal and oomycete pathogens: existing methods and new developments. Journal of Fungi. 2023;9(5):587. https://doi.org/10.3390/jof9050587
  11. 10. Nanda A, Pandit E, Ranasingh N, Biswal KK, Srivastava RK, Sahoo UK. Eco-friendly sustainable methods for mitigating the charcoal rot disease of sesame in Eastern India, using both in-vitro and in-vivo techniques. Ecological Frontiers. 2024;44(4):829-38.
  12. https://doi.org/10.1016/j.ecofro.2024.04.006
  13. 11. Mishra R, Tripathi MK, Sikarwar RS, Singh Y, Tripathi N. Soybean (Glycine max L. Merrill): a multipurpose legume shaping our world. Plant Cell Biotechnology and Molecular Biology. 2024;25(3-4):17-37. https://doi.org/10.56557/pcbmb/2024/v25i3-48643
  14. 12. Biswas S, Das R. Organic farming to mitigate biotic stresses under climate change scenario. Bulletin of the National Research Centre. 2024;48(1):71. https://doi.org/10.1186/s42269-024-01226-x
  15. 13. Marquez N, Giachero ML, Declerck S, Ducasse DA. Macrophomina phaseolina: general characteristics of pathogenicity and methods of control. Frontiers in Plant Science. 2021;12:634397. https://doi.org/10.3389/fpls.2021.634397
  16. 14. Abhishek GJ, Jagdeesh MS, Ragi S, Danakumar T, Tripathi K, Chalam VC, et al. Mungbean yellow mosaic disease (YMD) a destructive disease of cowpea: economic impact and management practices. Plant Archives. 2024;24(2). https://doi.org/10.51470/PLANTARCHIVES.2024.v24.no.2.169
  17. 15. Amrate PK. Survey and present status of soybean diseases in Central India. International Journal of Bio-resource and Stress Management. 2024;15(5):1-10. https://doi.org/10.23910/1.2024.5299
  18. 16. Mishra N, Tripathi MK, Tiwari S, Tripathi N, Trivedi HK. Morphological and molecular screening of soybean genotypes against yellow mosaic virus disease. Legume Research. 2020. https://doi.org/10.18805/LR-4240
  19. 17. Amrate PK, Shrivastava MK, Borah M, Routhu GK, Sharma S, Nataraj V, et al. Molecular characterization of soybean yellow mosaic virus isolates and identification of stable resistance sources in central India. Australasian Plant Pathology. 2023;52(3):165-79.
  20. https://doi.org/10.1007/s13313-022-00902-8
  21. 18. Amrate PK, Nataraj V, Shivakumar M, Shrivastava MK, Rajput LS, Mohare S, et al. Best linear unbiased prediction (BLUP)-based models aided in selection of high yielding charcoal rot and yellow mosaic resistant soybean genotypes. Genetic Resources and Crop Evolution. 2024. https://doi.org/10.1007/s10722-024-02289-5
  22. 19. Rahman SU, Raza G, Naqvi RZ, McCoy E, Hammad M, LaFayette P, et al. A source of resistance against yellow mosaic disease in soybeans correlates with a novel mutation in a resistance gene. Frontiers in Plant Science. 2023;14:1230559.
  23. https://doi.org/10.3389/fpls.2023.1230559
  24. 20. Mishra GP, Dikshit HK, SVR, Tripathi K, Kumar RR, Aski M, et al. Yellow mosaic disease (YMD) of mungbean (Vigna radiata (L.) Wilczek): current status and management opportunities. Frontiers in Plant Science. 2020;11:918.
  25. https://doi.org/10.3389/fpls.2020.00918
  26. 21. Khan Y, Kumar V, Gacem A, Satpathi A, Setiya P, Surbhi K, et al. Comparative evaluation of hybrid and individual models for predicting soybean yellow mosaic virus incidence. Scientific Reports. 2025;15(1):15790.
  27. https://doi.org/10.1038/s41598-025-99427-5
  28. 22. Srivastava A, Marabi R, Bal LM, Yogranjan. Weather based rules for yellow mosaic disease prediction on soybean in Madhya Pradesh. Indian Journal of Biochemistry and Biophysics. 2021;58:486-97.
  29. 23. Amrate PK, Chaukika K, Kharte S, Pancheshwar DK, Marabi RS, Shrivastav MK, et al. Distribution of charcoal rot of soybean, its influencing factors and pathogenic variabilities in different regions of Madhya Pradesh. Legume Research - An International Journal. 2024. https://doi.org/10.18805/LR-5262
  30. 24. Romero Luna MP, Mueller D, Mengistu A, Singh AK, Hartman GL, Wise KA. Advancing our understanding of charcoal rot in soybeans. Journal of Integrated Pest Management. 2017;8(1). https://doi.org/10.1093/jipm/pmw020
  31. 25. Amrate PK, Shrivastava MK, Bhale MS, Agrawal N, Kumawat G, Shivakumar M, et al. Identification and genetic diversity analysis of high-yielding charcoal rot resistant soybean genotypes. Scientific Reports. 2023;13(1):8905. https://doi.org/10.1038/s41598-023-35688-2
  32. 26. Borah M, Saikia H. Influence of weather parameters on the development of collar rot of soybean caused by Sclerotium rolfsii. International Journal of Current Microbiology and Applied Sciences. 2019;8(10):1667-75.
  33. https://doi.org/10.20546/ijcmas.2019.810.194
  34. 27. Romero Luna MP, Mueller D, Mengistu A, Singh AK, Hartman GL, Wise KA. Advancing our understanding of charcoal rot in soybeans. Journal of Integrated Pest Management. 2017;8(1). https://doi.org/10.1093/jipm/pmw020
  35. 28. Rajput LS, Kumar S, Nataraj V, Shivakumar M, Pathak K, Jaiswal S, et al. Recent advancement in management of soybean charcoal rot caused by Macrophomina phaseolina. In: Macrophomina phaseolina. Elsevier; 2023:55-74. https://doi.org/10.1016/B978-0-443-15443-0.00023-1
  36. 29. Rajput LS, Kumar S, Pathak K, Acharya P, Goswami D, Nataraj V, et al. Morpho-cultural, pathogenic and genetic characterization of Indian isolates of Macrophomina phaseolina causing charcoal rot in soybean. Heliyon. 2025;11(2):e42035.
  37. https://doi.org/10.1016/j.heliyon.2025.e42035
  38. 30. Silva RM da, Thurow LB, Nardino M, Oliveira VF de, Lopes JL, Maltzahn LE, et al. Identification of RILs for agronomic and grain quality traits in rice through intraspecific crosses. Crop Breeding and Applied Biotechnology. 2024;24(1). https://doi.org/10.1590/1984-70332024v24n1a05
  39. 31. Singh AK, Singh KP. Screening for disease incidence of YVMV in okra treated with gamma rays and EMS. Vegetable Science. 2000;27:72-5.
  40. 32. Amrate PK, Shrivastava MK, Pancheshwar DK, Sharma S. Charcoal rot and yellow mosaic virus diseases of soybean under hot spot condition: symptoms, incidence and resistance characterization. International Journal of Bio-resource and Stress Management. 2020;11(3):268-73. https://doi.org/10.23910/1.2020.2104
  41. 33. Rohlf FJ. NTSYS-pc: numerical taxonomy and multivariate analysis system. Version 2.1. Exeter Publishing, Setauket, New York, USA; 2000.
  42. 34. Nichal SS, Patil PV, Chandankar GD, Dandge MS, Ingle YV, Munje SS, et al. A new high yielding, charcoal rot and yellow mosaic virus disease resistant soybean variety AMS-1001 (PDKV Yellow Gold). Electronic Journal of Plant Breeding. 2020;11(4).
  43. https://doi.org/10.37992/2020.1104.163
  44. 35. Naveesh YB, Prameela HA, Basavaraj S, Rangaswamy KT. Screening of soybean genotypes to soybean yellow mosaic virus disease. International Journal of Current Microbiology and Applied Sciences. 2020;9(3):2070-6. https://doi.org/10.20546/ijcmas.2020.903.237
  45. 36. Swathi M, Gaur N, Singh K. Virus vector relationship of yellow mosaic virus and whitefly, Bemisia tabaci (Gennadius) in soybean. Legume Research. 2021. https://doi.org/10.18805/LR-4479
  46. 37. Magar SG, Jadhav PV, Vaidya ER, Moharil MP, Ghawade RS, Shinde UD, et al. Assessment of soybean genotypes for charcoal rot disease resistance and agronomic performance. International Journal of Advanced Biochemistry Research. 2024;8(6):309-13.
  47. https://doi.org/10.33545/26174693.2024.v8.i6d.1327
  48. 38. Tripathi N, Tripathi MK, Tiwari S, Payasi DK. Molecular breeding to overcome biotic stresses in soybean: update. Plants. 2022;11(15):1967. https://doi.org/10.3390/plants11151967
  49. 39. Upadhyay S, Singh AK, Tripathi MK, Tiwari S, Tripathi N. Validation of simple sequence repeats markers for charcoal rot and Rhizoctonia root rot resistance in soybean genotypes. International Journal of Advanced Biological Research. 2020;10(2):137-44.
  50. 40. Sun B, Fu C, Yang C, Ma Q, Pan D, Nian H. Genetic diversity of wild soybeans from some regions of southern China based on SSR and SRAP markers. American Journal of Plant Sciences. 2013;4(2):257-68. https://doi.org/10.4236/ajps.2013.42034
  51. 41. Tripathi N, Khare D. Molecular approaches for genetic improvement of seed quality and characterization of genetic diversity in soybean: a critical review. Biotechnology Letters. 2016;38(10):1645-54. https://doi.org/10.1007/s10529-016-2154-8
  52. 42. Gwinner R, Setotaw TA, Pasqual M, Santos JB dos, Zuffo AM, Zambiazzi EV, et al. Genetic diversity in Brazilian soybean germplasm. Crop Breeding and Applied Biotechnology. 2017;17(4):373-81. https://doi.org/10.1590/1984-70332017v17n4a56
  53. 43. Kachare S, Tiwari S, Tripathi N, Thakur VV. Assessment of genetic diversity of soybean (Glycine max) genotypes using qualitative traits and microsatellite markers. Agricultural Research. 2020;9(1):23-34. https://doi.org/10.1007/s40003-019-00412-y
  54. 44. Sharma A, Mishra N, Tripathi N, Nehra S, Singh J, Tiwari S, et al. Qualitative trait based variability among soybean genotypes. Acta Scientific Agriculture. 2023;7:2-13. https://doi.org/10.31080/ASAG.2023.07.1212
  55. 45. Hoque N, Haque MdA. Detection of yellow mosaic virus resistance in soybean (Glycine max L.) genotypes for yield and related traits. F1000Research. 2024;13:982. https://doi.org/10.12688/f1000research.150924.1
  56. 46. Usovsky M, Chen P, Li D, Wang A, Shi A, Zheng C, et al. Decades of genetic research on soybean mosaic virus resistance in soybean. Viruses. 2022;14(6):1122. https://doi.org/10.3390/v14061122
  57. 47. Mangal V, Verma LK, Singh SK, Saxena K, Roy A, Karn A, et al. Triumphs of genomic-assisted breeding in crop improvement. Heliyon. 2024;10(15):e35513. https://doi.org/10.1016/j.heliyon.2024.e35513
  58. 48. Gai Y, Liu S, Zhang Z, Wei J, Wang H, Liu L, et al. Integrative approaches to soybean resilience, productivity and utility: a review of genomics, computational modelling and economic viability. Plants. 2025;14(5):671. https://doi.org/10.3390/plants14050671
  59. 49. Hasan N, Choudhary S, Naaz N, Sharma N, Laskar RA. Recent advancements in molecular marker-assisted selection and applications in plant breeding programmes. Journal of Genetic Engineering and Biotechnology. 2021;19(1):128.
  60. https://doi.org/10.1186/s43141-021-00231-1
  61. 50. Fatemifard SZ, Masoumiasl A, Rezaei R, Fazeli-Nasab B, Salehi-Sardoei A, Ghorbanpour M. Association between molecular markers and resistance to bacterial blight using binary logistic analysis. BMC Plant Biology. 2024;24(1):670. https://doi.org/10.1186/s12870-024-05381-1

Downloads

Download data is not yet available.