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In low-input systems, where most nutrients become available from soil organic matter (SOM) and residue turnover, the applicability of DSSAT (Decision Support System for Agrotechnology Transfer) crop simulation models is limited because (i) it recognizes only one type of SOM (i.e., humus) and rece...
We outline the need for generic crop-livestock systems databases and data standards for comprehensive systems analysis in developing countries. We also indicate the type of data that such databases should contain and review how they can be collected. We describe IMPACT, a database and analysis to...
Potato is the most important non-grain crop in the world. Therefore, understanding the potential impacts of climate change on potato production is critical for future global food security. The SUBSTOR-Potato model was recently evaluated across a wide range of growing conditions, and improvements ...
Efforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus...
Velvet bean (Mucuna pruriens (L.) DC. cv.-group utilis) is widely promoted in tropical and sub-tropical regions as a green manure cover crop that can reduce weed growth and soil erosion and enhance soil fertility. To provide these benefits, the crop must attain rapid ground cover and develop subs...
During the 1990s, a soils database was developed by the International Soil Reference and Information Centre in The Netherlands for the project “World Inventory of Soil Emission Potentials” (WISE). Using this database, we converted 1125 soil profiles from around the world into a format that can be...
This study uses geo-spatial crop modeling to quantify the biophysical impact of weather extremes. More specifically, the study analyzes the weather extreme which affected maize production in the USA in 2012; it also estimates the effect of a similar weather extreme in 2050, using future climate s...
Ecophysiological models are increasingly used as research and decision support tools in agriculture, but it is often difficult to assess how suitable a model is for a particular application. Model evaluations usually involve bivariate linear regression between observed and simulated values, which...
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