Beyond the plot: technology extrapolation domains for scaling out agronomic science

Juan I. Rattalino Edreira, Kenneth G. Cassman, Zvi Hochman, Martin K. van Ittersum, Lenny van Bussel, Lieven Claessens, Patricio Grassini*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number054027
JournalEnvironmental Research Letters
Volume13
Issue number5
DOIs
Publication statusPublished - 14 May 2018

Fingerprint

agricultural research
Extrapolation
crop yield
Crops
cropping practice
agricultural land
Technology
prioritization
agricultural development
Research
crop production
environmental quality
research and development
Food supply
natural resource
Food Supply
maize
Natural resources
Agriculture
Climate

Keywords

  • geospatial analysis
  • impact assessment
  • research prioritization
  • technology extrapolation

Cite this

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title = "Beyond the plot: technology extrapolation domains for scaling out agronomic science",
abstract = "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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Beyond the plot: technology extrapolation domains for scaling out agronomic science. / Rattalino Edreira, Juan I.; Cassman, Kenneth G.; Hochman, Zvi; van Ittersum, Martin K.; van Bussel, Lenny; Claessens, Lieven; Grassini, Patricio.

In: Environmental Research Letters, Vol. 13, No. 5, 054027, 14.05.2018.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Beyond the plot: technology extrapolation domains for scaling out agronomic science

AU - Rattalino Edreira, Juan I.

AU - Cassman, Kenneth G.

AU - Hochman, Zvi

AU - van Ittersum, Martin K.

AU - van Bussel, Lenny

AU - Claessens, Lieven

AU - Grassini, Patricio

PY - 2018/5/14

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AB - 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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KW - impact assessment

KW - research prioritization

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