Mapping global potential risk of mango sudden decline disease caused by ceratocystis fimbriata

Tarcísio Visintin Da Silva Galdino, Sunil Kumar, Leonardo S S Oliveira, Acelino C. Alfenas, Lisa G. Neven, Abdullah M. Al-Sadi, Marcelo C. Picanc

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The Mango Sudden Decline (MSD), also referred to as Mango Wilt, is an important disease of mango in Brazil, Oman and Pakistan. This fungus is mainly disseminated by the mango bark beetle, Hypocryphalus mangiferae (Stebbing), by infected plant material, and the infested soils where it is able to survive for long periods. The best way to avoid losses due to MSD is to prevent its establishment in mango production areas. Our objectives in this study were to: (1) predict the global potential distribution of MSD, (2) identify the mango growing areas that are under potential risk of MSD establishment, and (3) identify climatic factors associated with MSD distribution. Occurrence records were collected from Brazil, Oman and Pakistan where the disease is currently known to occur in mango. We used the correlative maximum entropy based model (MaxEnt) algorithm to assess the global potential distribution of MSD. The MaxEnt model predicted suitable areas in countries where the disease does not already occur in mango, but where mango is grown. Among these areas are the largest mango producers in the world including India, China, Thailand, Indonesia, and Mexico. The mean annual temperature, precipitation of coldest quarter, precipitation seasonality, and precipitation of driest month variables contributed most to the potential distribution of MSD disease. The mango bark beetle vector is known to occur beyond the locations where MSD currently exists and where the model predicted suitable areas, thus showing a high likelihood for disease establishment in areas predicted by our model. Our study is the first to map the potential risk of MSD establishment on a global scale. This information can be used in designing strategies to prevent introduction and establishment of MSD disease, and in preparation of efficient pest risk assessments and monitoring programs.This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Original languageEnglish
Article numbere0159450
JournalPLoS One
Volume11
Issue number7
DOIs
Publication statusPublished - Jul 1 2016

Fingerprint

Ceratocystis fimbriata
Mangifera
mangoes
Hypocryphalus mangiferae
Fungi
Risk assessment
Oman
Entropy
Soils
Pakistan
Beetles
Monitoring
Brazil

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Galdino, T. V. D. S., Kumar, S., Oliveira, L. S. S., Alfenas, A. C., Neven, L. G., Al-Sadi, A. M., & Picanc, M. C. (2016). Mapping global potential risk of mango sudden decline disease caused by ceratocystis fimbriata. PLoS One, 11(7), [e0159450]. https://doi.org/10.1371/journal.pone.0159450

Mapping global potential risk of mango sudden decline disease caused by ceratocystis fimbriata. / Galdino, Tarcísio Visintin Da Silva; Kumar, Sunil; Oliveira, Leonardo S S; Alfenas, Acelino C.; Neven, Lisa G.; Al-Sadi, Abdullah M.; Picanc, Marcelo C.

In: PLoS One, Vol. 11, No. 7, e0159450, 01.07.2016.

Research output: Contribution to journalArticle

Galdino, TVDS, Kumar, S, Oliveira, LSS, Alfenas, AC, Neven, LG, Al-Sadi, AM & Picanc, MC 2016, 'Mapping global potential risk of mango sudden decline disease caused by ceratocystis fimbriata', PLoS One, vol. 11, no. 7, e0159450. https://doi.org/10.1371/journal.pone.0159450
Galdino, Tarcísio Visintin Da Silva ; Kumar, Sunil ; Oliveira, Leonardo S S ; Alfenas, Acelino C. ; Neven, Lisa G. ; Al-Sadi, Abdullah M. ; Picanc, Marcelo C. / Mapping global potential risk of mango sudden decline disease caused by ceratocystis fimbriata. In: PLoS One. 2016 ; Vol. 11, No. 7.
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