Beyond the plot
Technology extrapolation domains for scaling out agronomic science
Bibliographic Data
| ID | 15549565 |
|---|---|
| Authors | Juan I Rattalino Edreira (0000-0002-6192-4296, University of Nebraska–Lincoln), Kenneth G Cassman (0000-0002-9775-3468, University of Nebraska–Lincoln), Zvi Hochman (0000-0002-6217-5231, Commonwealth Scientific and Industrial Research Organisation), Martin K Van Ittersum (0000-0001-8611-6781, Wageningen University & Research), L G J van Bussel (0000-0003-3801-9754, Wageningen University & Research), Lenny van Bussel, Lieven Claessens (0000-0003-2961-8990, International Institute of Tropical Agriculture), Patricio Grassini (0000-0002-7501-842X, University of Nebraska–Lincoln, corresponding author) |
| Year | 2018 |
| Volume | 13 |
| Issue | 5 |
| Pages | 054027-054027 |
| Publication date | 2018-04-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/aac092 |
| PMID | 33343687 |
| OpenAlex | W2801089813 |
| Language | EN |
| Citations received | 7 |
| References cited | 20 |
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
Agricultural engineering · Agricultural productivity · Agriculture · Business · Crop yield · Cropping · Environmental resource management · Extrapolation · Precision agriculture · Prioritization · Production (economics · Agricultural Economics and Policy · Climate change impacts on agriculture · Computer Science · Crop Yield and Soil Fertility · Engineering · Environmental Science · Mathematics · Ecology
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Advances in global hydrology–crop modelling to support the UN’s Sustainable Development Goals in South Asia
Sustainable intensification in land systems
Benchmarking irrigation water use in producer fields in the US central Great Plains
| Unique citing works | 7 |
|---|---|
| Citations per year | 1 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |