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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...

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Autores principales: Edreira, Juan I Rattalino, Cassman, Kenneth G, Hochman, Zvi, van Ittersum, Martin K, van Bussel, Lenny, Claessens, Lieven, Grassini, Patricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iop Publishing 2018
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.
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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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