What do we know about the future of crop pests and diseases in relation to food systems?
Crop pests and diseases (P&D) can cause substantial yield losses and pose a threat to global food security. Losses at a regional level can even exceed 40 percent for crops like maize and rice. Most studies show that a warmer climate creates a conducive, albeit spatially variable, environment for P&...
| Main Authors: | , , , , |
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| Format: | Book Chapter |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175230 |
| _version_ | 1855541530937262080 |
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| author | Petsakos, Athanasios Montes, Carlo Pequeno, Diego Schiek, Benjamin Sonder, Kai |
| author_browse | Montes, Carlo Pequeno, Diego Petsakos, Athanasios Schiek, Benjamin Sonder, Kai |
| author_facet | Petsakos, Athanasios Montes, Carlo Pequeno, Diego Schiek, Benjamin Sonder, Kai |
| author_sort | Petsakos, Athanasios |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop pests and diseases (P&D) can cause substantial yield losses and pose a threat to global food security. Losses at a regional level can even exceed 40 percent for crops like maize and rice.
Most studies show that a warmer climate creates a conducive, albeit spatially variable, environment for P&D spread. However, existing foresight research is largely biophysical in nature and focuses on individual pathosystems, examined mostly at the national level. As such, projections of the magnitude of economic impacts of changing patterns of P&D are missing.
Global assessment of model-based historical and future P&D impacts on food systems remains constrained by the small number of available models that can estimate yield losses under contrasting climate and agroecological conditions.
Efforts are needed to improve data accessibility, model versatility, and simulation platforms and to establish international observation and modeling networks. Artificial intelligence (AI) and related methods can assist in the development of robust and adaptable models to capture the impacts of P&D on food systems. |
| format | Book Chapter |
| id | CGSpace175230 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1752302025-11-06T13:01:03Z What do we know about the future of crop pests and diseases in relation to food systems? Petsakos, Athanasios Montes, Carlo Pequeno, Diego Schiek, Benjamin Sonder, Kai food systems plant pests plant diseases plant health yield factors climate change yield losses pathogens artificial intelligence modelling Crop pests and diseases (P&D) can cause substantial yield losses and pose a threat to global food security. Losses at a regional level can even exceed 40 percent for crops like maize and rice. Most studies show that a warmer climate creates a conducive, albeit spatially variable, environment for P&D spread. However, existing foresight research is largely biophysical in nature and focuses on individual pathosystems, examined mostly at the national level. As such, projections of the magnitude of economic impacts of changing patterns of P&D are missing. Global assessment of model-based historical and future P&D impacts on food systems remains constrained by the small number of available models that can estimate yield losses under contrasting climate and agroecological conditions. Efforts are needed to improve data accessibility, model versatility, and simulation platforms and to establish international observation and modeling networks. Artificial intelligence (AI) and related methods can assist in the development of robust and adaptable models to capture the impacts of P&D on food systems. 2025-07-21 2025-06-20T19:34:25Z 2025-06-20T19:34:25Z Book Chapter https://hdl.handle.net/10568/175230 en https://hdl.handle.net/10568/175019 Open Access application/pdf International Food Policy Research Institute Petsakos, Athanasios; Montes, Carlo; Pequeno, Diego; Schiek, Benjamin; and Sonder, Kai. 2025. What do we know about the future of crop pests and diseases in relation to food systems? In What do we know about the future of food systems? eds. Keith Wiebe and Elisabetta Gotor. Part One: What Do We Know About the Future of Food Systems Drivers and Impacts? Chapter 8, Pp. 45-49. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/175230 |
| spellingShingle | food systems plant pests plant diseases plant health yield factors climate change yield losses pathogens artificial intelligence modelling Petsakos, Athanasios Montes, Carlo Pequeno, Diego Schiek, Benjamin Sonder, Kai What do we know about the future of crop pests and diseases in relation to food systems? |
| title | What do we know about the future of crop pests and diseases in relation to food systems? |
| title_full | What do we know about the future of crop pests and diseases in relation to food systems? |
| title_fullStr | What do we know about the future of crop pests and diseases in relation to food systems? |
| title_full_unstemmed | What do we know about the future of crop pests and diseases in relation to food systems? |
| title_short | What do we know about the future of crop pests and diseases in relation to food systems? |
| title_sort | what do we know about the future of crop pests and diseases in relation to food systems |
| topic | food systems plant pests plant diseases plant health yield factors climate change yield losses pathogens artificial intelligence modelling |
| url | https://hdl.handle.net/10568/175230 |
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