Rights statement: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Economic Entomology following peer review. The definitive publisher-authenticated versionPhilip Donkersley, Justine M Blanford, Renan Batista Queiroz, Farley W S Silva, Claudine M Carvalho, Abdullah Mohammed Al-Sadi, Simon L Elliot, Witch’s Broom Disease of Lime (Candidatus Phytoplasma aurantifolia): Identifying High-Risk Areas by Climatic Mapping, Journal of Economic Entomology, Volume 111, Issue 6, December 2018, Pages 2553–2561, https://doi.org/10.1093/jee/toy248 is available online at: https://academic.oup.com/jee/article/111/6/2553/5076923
Accepted author manuscript, 379 KB, PDF document
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Witch’s Broom Disease of Lime (Candidatus Phytoplasma aurantifolia)
T2 - Identifying High-Risk Areas by Climatic Mapping
AU - Donkersley, Philip William
AU - Blanford, Justine M.
AU - Queiroz, Renan Batista
AU - Silva, Farley W. S.
AU - Carvalho, Claudine Márcia
AU - Al-Sadi, Abdullah Mohammed
AU - Elliot, Simon L.
N1 - This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Journal of Economic Entomology following peer review. The definitive publisher-authenticated versionPhilip Donkersley, Justine M Blanford, Renan Batista Queiroz, Farley W S Silva, Claudine M Carvalho, Abdullah Mohammed Al-Sadi, Simon L Elliot, Witch’s Broom Disease of Lime (Candidatus Phytoplasma aurantifolia): Identifying High-Risk Areas by Climatic Mapping, Journal of Economic Entomology, Volume 111, Issue 6, December 2018, Pages 2553–2561, https://doi.org/10.1093/jee/toy248 is available online at: https://academic.oup.com/jee/article/111/6/2553/5076923
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Biological invasions of vectorborne diseases can be devastating. Bioclimatic modeling provides an opportunity to assess and predict areas at risk from complex multitrophic interactions of pathogens, highlighting areas in need of increased monitoring effort. Here, we model the distribution of an economically critical vectorborne plant pathogen ‘Candidatus Phytoplasma aurantifolia’, the etiological agent of Witches’ Broom Disease of Lime. This disease is a significant limiting factor on acid lime production (Citrus aurantifolia, Swingle) in the Middle East and threatens its production globally. We found that temperature, humidity, and the vector populations significantly determine disease distribution. Following this, we used bioclimatic modeling to predict potential novel sites of infections. The model outputs identified potential novel sites of infection in the citrus producing regions of Brazil and China. We also used our model to explore sites in Oman where the pathogen may not be infectious, and suggest nurseries be established there. Recent major turbulence in the citrus agricultural economy has highlighted the importance of this work and the need for appropriate and targeted monitoring programs to safeguard lime production.
AB - Biological invasions of vectorborne diseases can be devastating. Bioclimatic modeling provides an opportunity to assess and predict areas at risk from complex multitrophic interactions of pathogens, highlighting areas in need of increased monitoring effort. Here, we model the distribution of an economically critical vectorborne plant pathogen ‘Candidatus Phytoplasma aurantifolia’, the etiological agent of Witches’ Broom Disease of Lime. This disease is a significant limiting factor on acid lime production (Citrus aurantifolia, Swingle) in the Middle East and threatens its production globally. We found that temperature, humidity, and the vector populations significantly determine disease distribution. Following this, we used bioclimatic modeling to predict potential novel sites of infections. The model outputs identified potential novel sites of infection in the citrus producing regions of Brazil and China. We also used our model to explore sites in Oman where the pathogen may not be infectious, and suggest nurseries be established there. Recent major turbulence in the citrus agricultural economy has highlighted the importance of this work and the need for appropriate and targeted monitoring programs to safeguard lime production.
KW - bioclimatic modeling
KW - witches’ broom disease of lime
KW - acid citrus lime
KW - Middle East
KW - Brazil
U2 - 10.1093/jee/toy248
DO - 10.1093/jee/toy248
M3 - Journal article
VL - 111
SP - 2553
EP - 2561
JO - Journal of Economic Entomology
JF - Journal of Economic Entomology
SN - 0022-0493
IS - 6
ER -