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Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale

Plant disease threatens the environmental and financial sustainability of crop production, causing $220 billion in annual losses. The dire threat disease poses to modern agriculture demands tools for better detection and monitoring to prevent crop loss and input waste. The nascent discipline of plan...

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Detalles Bibliográficos
Autor principal: Gold, Kaitlin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594440/
https://www.ncbi.nlm.nih.gov/pubmed/34783579
http://dx.doi.org/10.1128/mSystems.01228-21
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author Gold, Kaitlin M.
author_facet Gold, Kaitlin M.
author_sort Gold, Kaitlin M.
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description Plant disease threatens the environmental and financial sustainability of crop production, causing $220 billion in annual losses. The dire threat disease poses to modern agriculture demands tools for better detection and monitoring to prevent crop loss and input waste. The nascent discipline of plant disease sensing, or the science of using proximal and/or remote sensing to detect and diagnose disease, offers great promise to extend monitoring to previously unachievable resolutions, a basis to construct multiscale surveillance networks for early warning, alert, and response at low latency, an opportunity to mitigate loss while optimizing protection, and a dynamic new dimension to agricultural systems biology. Despite its revolutionary potential, plant disease sensing remains an underdeveloped discipline, with challenges facing both fundamental study and field application. This article offers a perspective on the current state and future of plant disease sensing, highlights remaining gaps to be filled, and presents a bold vision for the future of global agriculture.
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spelling pubmed-85944402021-11-29 Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale Gold, Kaitlin M. mSystems Commentary Plant disease threatens the environmental and financial sustainability of crop production, causing $220 billion in annual losses. The dire threat disease poses to modern agriculture demands tools for better detection and monitoring to prevent crop loss and input waste. The nascent discipline of plant disease sensing, or the science of using proximal and/or remote sensing to detect and diagnose disease, offers great promise to extend monitoring to previously unachievable resolutions, a basis to construct multiscale surveillance networks for early warning, alert, and response at low latency, an opportunity to mitigate loss while optimizing protection, and a dynamic new dimension to agricultural systems biology. Despite its revolutionary potential, plant disease sensing remains an underdeveloped discipline, with challenges facing both fundamental study and field application. This article offers a perspective on the current state and future of plant disease sensing, highlights remaining gaps to be filled, and presents a bold vision for the future of global agriculture. American Society for Microbiology 2021-11-16 /pmc/articles/PMC8594440/ /pubmed/34783579 http://dx.doi.org/10.1128/mSystems.01228-21 Text en Copyright © 2021 Gold. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Gold, Kaitlin M.
Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale
title Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale
title_full Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale
title_fullStr Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale
title_full_unstemmed Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale
title_short Plant Disease Sensing: Studying Plant-Pathogen Interactions at Scale
title_sort plant disease sensing: studying plant-pathogen interactions at scale
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594440/
https://www.ncbi.nlm.nih.gov/pubmed/34783579
http://dx.doi.org/10.1128/mSystems.01228-21
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