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An early warning system to predict and mitigate wheat rust diseases in Ethiopia

Wheat rust diseases pose one of the greatest threats to global food security, including subsistence farmers in Ethiopia. The fungal spores transmitting wheat rust are dispersed by wind and can remain infectious after dispersal over long distances. The emergence of new strains of wheat rust has exace...

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Autores principales: Allen-Sader, Clare, Thurston, William, Meyer, Marcel, Nure, Elias, Bacha, Netsanet, Alemayehu, Yoseph, Stutt, Richard O J H, Safka, Daniel, Craig, Andrew P, Derso, Eshetu, Burgin, Laura E, Millington, Sarah C, Hort, Matthew C, Hodson, David P, Gilligan, Christopher A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680955/
https://www.ncbi.nlm.nih.gov/pubmed/33343688
http://dx.doi.org/10.1088/1748-9326/ab4034
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author Allen-Sader, Clare
Thurston, William
Meyer, Marcel
Nure, Elias
Bacha, Netsanet
Alemayehu, Yoseph
Stutt, Richard O J H
Safka, Daniel
Craig, Andrew P
Derso, Eshetu
Burgin, Laura E
Millington, Sarah C
Hort, Matthew C
Hodson, David P
Gilligan, Christopher A
author_facet Allen-Sader, Clare
Thurston, William
Meyer, Marcel
Nure, Elias
Bacha, Netsanet
Alemayehu, Yoseph
Stutt, Richard O J H
Safka, Daniel
Craig, Andrew P
Derso, Eshetu
Burgin, Laura E
Millington, Sarah C
Hort, Matthew C
Hodson, David P
Gilligan, Christopher A
author_sort Allen-Sader, Clare
collection PubMed
description Wheat rust diseases pose one of the greatest threats to global food security, including subsistence farmers in Ethiopia. The fungal spores transmitting wheat rust are dispersed by wind and can remain infectious after dispersal over long distances. The emergence of new strains of wheat rust has exacerbated the risks of severe crop loss. We describe the construction and deployment of a near realtime early warning system (EWS) for two major wind-dispersed diseases of wheat crops in Ethiopia that combines existing environmental research infrastructures, newly developed tools and scientific expertise across multiple organisations in Ethiopia and the UK. The EWS encompasses a sophisticated framework that integrates field and mobile phone surveillance data, spore dispersal and disease environmental suitability forecasting, as well as communication to policy-makers, advisors and smallholder farmers. The system involves daily automated data flow between two continents during the wheat season in Ethiopia. The framework utilises expertise and environmental research infrastructures from within the cross-disciplinary spectrum of biology, agronomy, meteorology, computer science and telecommunications. The EWS successfully provided timely information to assist policy makers formulate decisions about allocation of limited stock of fungicide during the 2017 and 2018 wheat seasons. Wheat rust alerts and advisories were sent by short message service and reports to 10 000 development agents and approximately 275 000 smallholder farmers in Ethiopia who rely on wheat for subsistence and livelihood security. The framework represents one of the first advanced crop disease EWSs implemented in a developing country. It provides policy-makers, extension agents and farmers with timely, actionable information on priority diseases affecting a staple food crop. The framework together with the underpinning technologies are transferable to forecast wheat rusts in other regions and can be readily adapted for other wind-dispersed pests and disease of major agricultural crops.
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spelling pubmed-76809552020-12-18 An early warning system to predict and mitigate wheat rust diseases in Ethiopia Allen-Sader, Clare Thurston, William Meyer, Marcel Nure, Elias Bacha, Netsanet Alemayehu, Yoseph Stutt, Richard O J H Safka, Daniel Craig, Andrew P Derso, Eshetu Burgin, Laura E Millington, Sarah C Hort, Matthew C Hodson, David P Gilligan, Christopher A Environ Res Lett Letter Wheat rust diseases pose one of the greatest threats to global food security, including subsistence farmers in Ethiopia. The fungal spores transmitting wheat rust are dispersed by wind and can remain infectious after dispersal over long distances. The emergence of new strains of wheat rust has exacerbated the risks of severe crop loss. We describe the construction and deployment of a near realtime early warning system (EWS) for two major wind-dispersed diseases of wheat crops in Ethiopia that combines existing environmental research infrastructures, newly developed tools and scientific expertise across multiple organisations in Ethiopia and the UK. The EWS encompasses a sophisticated framework that integrates field and mobile phone surveillance data, spore dispersal and disease environmental suitability forecasting, as well as communication to policy-makers, advisors and smallholder farmers. The system involves daily automated data flow between two continents during the wheat season in Ethiopia. The framework utilises expertise and environmental research infrastructures from within the cross-disciplinary spectrum of biology, agronomy, meteorology, computer science and telecommunications. The EWS successfully provided timely information to assist policy makers formulate decisions about allocation of limited stock of fungicide during the 2017 and 2018 wheat seasons. Wheat rust alerts and advisories were sent by short message service and reports to 10 000 development agents and approximately 275 000 smallholder farmers in Ethiopia who rely on wheat for subsistence and livelihood security. The framework represents one of the first advanced crop disease EWSs implemented in a developing country. It provides policy-makers, extension agents and farmers with timely, actionable information on priority diseases affecting a staple food crop. The framework together with the underpinning technologies are transferable to forecast wheat rusts in other regions and can be readily adapted for other wind-dispersed pests and disease of major agricultural crops. IOP 2019-10-30 /pmc/articles/PMC7680955/ /pubmed/33343688 http://dx.doi.org/10.1088/1748-9326/ab4034 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Letter
Allen-Sader, Clare
Thurston, William
Meyer, Marcel
Nure, Elias
Bacha, Netsanet
Alemayehu, Yoseph
Stutt, Richard O J H
Safka, Daniel
Craig, Andrew P
Derso, Eshetu
Burgin, Laura E
Millington, Sarah C
Hort, Matthew C
Hodson, David P
Gilligan, Christopher A
An early warning system to predict and mitigate wheat rust diseases in Ethiopia
title An early warning system to predict and mitigate wheat rust diseases in Ethiopia
title_full An early warning system to predict and mitigate wheat rust diseases in Ethiopia
title_fullStr An early warning system to predict and mitigate wheat rust diseases in Ethiopia
title_full_unstemmed An early warning system to predict and mitigate wheat rust diseases in Ethiopia
title_short An early warning system to predict and mitigate wheat rust diseases in Ethiopia
title_sort early warning system to predict and mitigate wheat rust diseases in ethiopia
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680955/
https://www.ncbi.nlm.nih.gov/pubmed/33343688
http://dx.doi.org/10.1088/1748-9326/ab4034
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