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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: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iop Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691761/ https://www.ncbi.nlm.nih.gov/pubmed/33343687 http://dx.doi.org/10.1088/1748-9326/aac092 |
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author | Edreira, Juan I Rattalino Cassman, Kenneth G Hochman, Zvi van Ittersum, Martin K van Bussel, Lenny Claessens, Lieven Grassini, Patricio |
author_facet | Edreira, Juan I Rattalino Cassman, Kenneth G Hochman, Zvi van Ittersum, Martin K van Bussel, Lenny Claessens, Lieven Grassini, Patricio |
author_sort | Edreira, Juan I Rattalino |
collection | PubMed |
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 | Online Article Text |
id | pubmed-7691761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Iop Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-76917612020-12-18 Beyond the plot: technology extrapolation domains for scaling out agronomic science Edreira, Juan I Rattalino Cassman, Kenneth G Hochman, Zvi van Ittersum, Martin K van Bussel, Lenny Claessens, Lieven Grassini, Patricio Environ Res Lett Letter 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. Iop Publishing 2018-05-14 2018 /pmc/articles/PMC7691761/ /pubmed/33343687 http://dx.doi.org/10.1088/1748-9326/aac092 Text en © 2018 The Author(s) http://creativecommons.org/licenses/by/3.0/ Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
spellingShingle | Letter Edreira, Juan I Rattalino Cassman, Kenneth G Hochman, Zvi van Ittersum, Martin K van Bussel, Lenny Claessens, Lieven Grassini, Patricio 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 | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691761/ https://www.ncbi.nlm.nih.gov/pubmed/33343687 http://dx.doi.org/10.1088/1748-9326/aac092 |
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