Predicting Potential Climatic Suitability for Ditylenchus dipsaci in India Using MaxEnt Modelling


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Authors

  • PRASANNA HOLAJJER ICAR-National Bureau of Plant Genetic Resources, Regional Station, Hyderabad - 500 030, Author https://orcid.org/0000-0001-5697-5358
  • G. HARISH Institute of Organic Farming, University of Agricultural Sciences, Dharwad - 580 005, India Author
  • Z. KHAN ICAR-National Bureau of Plant Genetic Resources, New Delhi -110 012, India Author
  • BHARAT H. GAWADE ICAR-National Bureau of Plant Genetic Resources, New Delhi -110 012, India Author
  • BHASKAR BAJARU ICAR-National Bureau of Plant Genetic Resources, Regional Station, Hyderabad - 500 030, India Author
  • GUNDAPPA BARADEVANAL ICAR-National Bureau of Agricultural Insect Resources, Bengaluru - 560 024, India Author
  • N. SIVARAJ ICAR-National Bureau of Plant Genetic Resources, Regional Station, Hyderabad - 500 030, India Author

https://doi.org/10.5958/0974-4444.2024.00036.1

Keywords:

Distribution, Ditylenchus dipsaci, MaxEnt modelling, prediction

Abstract

The stem and bulb nematode, Ditylenchus dipsaci is a major nematode parasite of plants that causes economic damage to a wide range of plants, particularly in areas with a temperate climate. According to the Plant Quarantine Order (Regulation of Import into India) 2003, this nematode is classified as a quarantine pest and is not known to occur in India. Assessing the suitable habitat and possible geographic distribution areas for D. dipsaci would help us to better understand its level of establishment and spread in India. Therefore, in this work, the maximum entropy (MaxEnt) model was employed to determine the possible geographic distribution in India under the current climate. The model-predicted suitable areas for D. dipsaci are distributed in the parts of Himachal Pradesh and Uttarakhand states, and the Jammu and Kashmir union territory in northern India, besides Sikkim, Arunachal Pradesh and a few parts of Manipur in the northeastern region. Among the bioclimatic variables, annual mean temperature (Bio1) and precipitation seasonality (Bio15) have more influence on the geographic suitability of D. dipsaci.

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Submitted

2025-01-17

Published

2025-01-24 — Updated on 2025-01-24

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How to Cite

Predicting Potential Climatic Suitability for Ditylenchus dipsaci in India Using MaxEnt Modelling. (2025). Indian Journal of Nematology, 54(2), 242-248. https://doi.org/10.5958/0974-4444.2024.00036.1