Beyond the plot: technology extrapolation domains for scaling out agronomic science
Ensuring an adequate food supply in systems that protect environmental quality and conserve natural resources requires productive and resource-efficient cropping systems on existing farmland. Meeting this challenge will be difficult without a robust spatial framework that facilitates rapid evaluatio...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
IOP Publishing
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/92901 |
| _version_ | 1855540438210969600 |
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| author | Edreira, J.I.R. Cassman, Kenneth G. Hochman, Z. Ittersum, Martin K. van Bussel, Lenny G. J. van Claessens, Lieven Grassini, P. |
| author_browse | Bussel, Lenny G. J. van Cassman, Kenneth G. Claessens, Lieven Edreira, J.I.R. Grassini, P. Hochman, Z. Ittersum, Martin K. van |
| author_facet | Edreira, J.I.R. Cassman, Kenneth G. Hochman, Z. Ittersum, Martin K. van Bussel, Lenny G. J. van Claessens, Lieven Grassini, P. |
| author_sort | Edreira, J.I.R. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Ensuring an adequate food supply in systems that protect environmental quality and conserve natural resources requires productive and resource-efficient cropping systems on existing farmland. Meeting this challenge will be difficult without a robust spatial framework that facilitates rapid evaluation and scaling-out of currently available and emerging technologies. Here we develop a global spatial framework to delineate 'technology extrapolation domains' based on key climate and soil factors that govern crop yields and yield stability in rainfed crop production. The proposed framework adequately represents the spatial pattern of crop yields and stability when evaluated over the data-rich US Corn Belt. It also facilitates evaluation of cropping system performance across continents, which can improve efficiency of agricultural research that seeks to intensify production on existing farmland. Populating this biophysical spatial framework with appropriate socio-economic attributes provides the potential to amplify the return on investments in agricultural research and development by improving the effectiveness of research prioritization and impact assessment. |
| format | Journal Article |
| id | CGSpace92901 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | IOP Publishing |
| publisherStr | IOP Publishing |
| record_format | dspace |
| spelling | CGSpace929012025-11-11T11:04:15Z Beyond the plot: technology extrapolation domains for scaling out agronomic science Edreira, J.I.R. Cassman, Kenneth G. Hochman, Z. Ittersum, Martin K. van Bussel, Lenny G. J. van Claessens, Lieven Grassini, P. research food supply food production cropping systems impact assessment geospatial analysis technology extrapolation research prioritization agriculture food security climate change technology Ensuring an adequate food supply in systems that protect environmental quality and conserve natural resources requires productive and resource-efficient cropping systems on existing farmland. Meeting this challenge will be difficult without a robust spatial framework that facilitates rapid evaluation and scaling-out of currently available and emerging technologies. Here we develop a global spatial framework to delineate 'technology extrapolation domains' based on key climate and soil factors that govern crop yields and yield stability in rainfed crop production. The proposed framework adequately represents the spatial pattern of crop yields and stability when evaluated over the data-rich US Corn Belt. It also facilitates evaluation of cropping system performance across continents, which can improve efficiency of agricultural research that seeks to intensify production on existing farmland. Populating this biophysical spatial framework with appropriate socio-economic attributes provides the potential to amplify the return on investments in agricultural research and development by improving the effectiveness of research prioritization and impact assessment. 2018-05-01 2018-05-25T09:46:31Z 2018-05-25T09:46:31Z Journal Article https://hdl.handle.net/10568/92901 en Open Access application/pdf IOP Publishing Edreira, J.I.R., Cassman, K.G., Hochman, Z., van Ittersum, M., van Bussel, L.G., Claessens, L. & Grassini, P. (2018). Beyond the plot: technology extrapolation domains for scaling out agronomic science. Environmental Research Letters, 13(5), 1-9. |
| spellingShingle | research food supply food production cropping systems impact assessment geospatial analysis technology extrapolation research prioritization agriculture food security climate change technology Edreira, J.I.R. Cassman, Kenneth G. Hochman, Z. Ittersum, Martin K. van Bussel, Lenny G. J. van Claessens, Lieven Grassini, P. Beyond the plot: technology extrapolation domains for scaling out agronomic science |
| title | Beyond the plot: technology extrapolation domains for scaling out agronomic science |
| title_full | Beyond the plot: technology extrapolation domains for scaling out agronomic science |
| title_fullStr | Beyond the plot: technology extrapolation domains for scaling out agronomic science |
| title_full_unstemmed | Beyond the plot: technology extrapolation domains for scaling out agronomic science |
| title_short | Beyond the plot: technology extrapolation domains for scaling out agronomic science |
| title_sort | beyond the plot technology extrapolation domains for scaling out agronomic science |
| topic | research food supply food production cropping systems impact assessment geospatial analysis technology extrapolation research prioritization agriculture food security climate change technology |
| url | https://hdl.handle.net/10568/92901 |
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