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Schils, R. |
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Online maps of Yield Gaps of cereals across Europe |
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2017 |
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FACCE MACSUR Reports |
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10 |
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Xc9.1-D2 |
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The yield gap and water productivity analysis of key cereal crops in Europe is completed and results are available through www.yieldgap.org |
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XC, CropM |
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MA @ admin @ |
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4961 |
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Author |
Schils, R. |
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Title |
Yield gaps of cereals across Europe |
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2017 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
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Xc9.1-D1 |
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The increasing global demand for food requires a sustainable intensification of crop production in low-yielding areas. Actions to improve crop production in these regions call for accurate spatially explicit identification of yield gaps, i.e. the difference between potential or water-limited yield and actual yield. The Global Yield Gap Atlas (GYGA) project proposes a consistent bottom-up approach to estimate yield gaps. For each country, a climate zonation is overlaid with a crop area map. Within climate zones with important crop areas, weather stations are selected with at least 10 years of daily data. For each of the 3 dominant soil types within a 100 km zone around the weather stations, the potential and water-limited yields are simulated with the WOFOST crop model, using location-specific knowledge on crop systems. Data from variety trials or other experiments, approaching potential or water-limited yields, are used for validation and calibration of the model. Actual yields are taken from sub-national statistics. Yields and yield gaps are scaled up to climate zones and subsequently to countries. The average national simulated wheat yields under rainfed conditions varied from around 5 to 6 t/ha/year in the Mediterranean to nearly 12 t/ha/year on the British Isles and in the Low Countries. The average actual wheat yield varied from around 2 to 3 t/ha/year in the Mediterranean and some countries in East Europe to nearly 9 t/ha/year on the British Isles and in the Low Countries. The average relative yield gaps varied from around 10% to 30% in many countries in Northwest Europe to around 50% to 70% in some countries in the Mediterranean and East Europe. The paper will elaborate on results per climate zone and soil type, and will also include barley and maize. Furthermore we will relate yield gaps to nitrogen use. |
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XC, CropM |
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MA @ admin @ |
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4960 |
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Bishop, J.; Lotze-Campen, H. |
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XC8 Extreme events – Final report |
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2017 |
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FACCE MACSUR Reports |
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10 |
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XC8-D |
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Following a MACSUR Workshop a joint working paper preliminary titled “More than a change in crop production: metrics and approaches to understand the impacts of extreme events on food security” is now in an advanced stage. A conference paper based on an M.Sc. thesis by Christoph Buschmann, titled “A model-based economic assessment of future climate variability impacts on global agricultural markets” has been presented and the International Conference of Agricultural Economists, 2015. We are working on a journal publication at the moment. Based on a B.Sc. thesis by Patrick Jeetze, we have submitted an abstract and held a presentation at the GlobalFood Symposium 2017, 28-29 April 2017 at Georg-August-University of Goettingen, Germany. Title: “Implications of future climate variability on food security: A model-based assessment of climate-induced crop price volatility impacts” We are currently working on a journal publication on this. Finally, we contributed one section to MACSUR's Research Gap Report (H0.1-D). |
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XC |
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MA @ admin @ |
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4953 |
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Saetnan, E.R. |
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Capacity building strategy |
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2015 |
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FACCE MACSUR Reports |
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7 |
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XC4.1.1-D |
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Introduction Raising the capacity of established researchers Capacity for cross-theme collaboration Short “Master Classes” Raising the capacity of early career researchers PhD/ECR training courses Training integrative and international modellers through a Marie Curie ITN Raising the capacity of our stakeholders MACSUR input to the Advanced Training Partnership (ATP) |
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XC, LiveM |
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MA @ admin @ |
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4949 |
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Bellocchi, G., B.; Brilli, L.; Ferrise, R.; Dibari, C.; Bindi, M. |
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Model comparison and improvement: Links established with other consortia |
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2017 |
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FACCE MACSUR Reports |
Abbreviated Journal |
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10 |
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XC1.3-D |
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XC1 has established links to other research activities and consortia on model comparison and improvement. They include the global initiatives AgMIP (http://www.agmip.org ) and GRA (http://www.globalresearchalliance.org), and the EU-FP7 project MODEXTREME (http://modextreme.org ). These links have allowed sharing and communication of recent results and methods, and have created opportunities for future research calls. |
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MA @ admin @ |
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4941 |
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