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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.
Afiliação
  • Edreira JIR; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583-0915, United States of America.
  • Cassman KG; Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68583-0915, United States of America.
  • Hochman Z; CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, QLD, 4067, Australia.
  • van Ittersum MK; Plant Production Systems Group, Wageningen University, PO Box 430, 6700 AK, Wageningen, The Netherlands.
  • van Bussel L; Plant Production Systems Group, Wageningen University, PO Box 430, 6700 AK, Wageningen, The Netherlands.
  • Claessens L; Soil Geography and Landscape group, Wageningen University and Research, PO Bo 47, 6700AA, Wageningen, The Netherlands.
  • Grassini P; International Institute of Tropical Agriculture (IITA), PO Box 10, Duluti, Arusha, Tanzania.
Environ Res Lett ; 13(5): 054027, 2018.
Article em En | MEDLINE | ID: mdl-33343687
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article