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

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Developing a global spatial framework helps evaluate and scale productive cropping technologies. This framework uses climate and soil data to identify

Keywords:
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Area of Science:

  • Agricultural Science
  • Environmental Science
  • Spatial Analysis

Background:

  • Ensuring global food supply requires productive, resource-efficient cropping systems on existing farmland.
  • Scaling agricultural technologies is hindered by a lack of robust spatial evaluation frameworks.

Purpose of the Study:

  • To develop a global spatial framework for delineating 'technology extrapolation domains'.
  • To facilitate rapid evaluation and scaling of agricultural technologies for rainfed crop production.

Main Methods:

  • Utilized key climate and soil factors to define domains governing crop yields and stability.
  • Validated the framework using crop yield and stability data from the US Corn Belt.

Main Results:

  • The developed framework accurately represents spatial patterns of crop yields and stability.
  • The framework enables continent-wide evaluation of cropping system performance.

Conclusions:

  • The spatial framework improves the efficiency of agricultural research for intensifying production.
  • Integrating socio-economic data can amplify research and development returns through better prioritization and impact assessment.