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Research Article Open access CC BY 4.0

Unlocking Natures Secret: Revealing the Culprit Behind Maharashtra Papaya Ringspot Disease

Sanjay Kolase, Sachin Jagtap, Pravin Khaire

Journal of Advances in Microbiology · pp. 25–35 · Published 27 Jun 2024

10.9734/jamb/2024/v24i7836

Abstract

The papaya ringspot disease (PRSD) in Western Maharashtra, India, it is a big threat to cause complete loss in papaya cultivation and the symptomatology of this disease is still insufficient to identify with accuracy to manage the disease. Therefore, the current research was conducted during year 2020-21 with objective to check the occurrence and severity of disease in five major papaya growing districts (Ahmednagar, Pune, Sangli and Satara and Solapur) by using 0-4 disease rating scale. The further studies on Transmission Electron Microscopy (TEM) were employed for identification of virus associated with it. The result of the survey shows that, Ahmednagar having the highest incidence at 87.50%, followed by Solapur (68.75%). In surveyed area Taiwan-786 papaya cultivar found everywhere and revealing an average disease incidence ranging from 10.41 to 87.50%. Common symptoms were found including light leaf discoloration, mosaic patterns, chlorotic patches, leaf curling, stunting, blisters, and fruit deformation. The ringspot virus is characterized by distinctive features such as green ice-land, shoe string formation, pale oily greasy streaks, and ringspots on leaves, fruits, and stems. The TEM studies confirmed the presence of flexible rod-shaped particles of papaya ringspot virus (PRSV) in infected samples.

Carica papaya disease intensity PRSV detection TEM

References (16)

  1. 1 An Introduction to Plant Diseases [DOI]
  2. 2 Proteomic analysis of differentially accumulated proteins during ripening and in response to 1-MCP in papaya fruit [DOI]
  3. 3 Importance and Genetic Diversity of Vegetable-Infecting Tospoviruses in India [DOI]
  4. 4 Papaya Diseases and Integrated Control [DOI]
  5. 5 Phylogeography and molecular epidemiology of Papaya ringspot virus [DOI]
  6. 6 Overview of Global Papaya Production, Trade, and Consumption [DOI]
  7. 7 Gene Technology for Papaya Ringspot Virus Disease Management [DOI]
  8. 8 Genetic Connectivity Between Papaya Ringspot Virus Genomes from Papua New Guinea and Northern Australia, and New Recombination Insights [DOI]
  9. 9 Biological and molecular evidence of papaya ring spot virus pathotype P from mid-hills of Meghalaya, India [DOI]
  10. 10 Identification of Novel Begomoviruses Associated with Leaf Curl Disease of Papaya (Carica papaya L.) in India [DOI]
  11. 11 Papaya Ringspot Virus Isolates From Papaya in Bangladesh: Detection, Characterization, and Distribution [DOI]
  12. 12 Fungi Diversity on Some Fruits and Biological Control using Two Plants Extracts [DOI]
  13. 13 Occurrence and relative incidence of viruses infecting papaya in Venezuela [DOI]
  14. 14 Control of Peduncular Rot in Post-harvest Mango Fruits with Hydrotherapy and Refrigeration [DOI]
  15. 15 The distribution of virus disease and the migrant vector aphid.
  16. 16 Network analysis of the papaya orchard virome from two agroecological regions of Chiapas, Mexico [DOI]

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