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Author |
Webber, H.; Kahiluoto, H.; Rötter, R.P.; Ewert, F. |
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Title |
Enhancing climate resilience of cropping systems |
Type  |
Book Chapter |
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Year |
2014 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
167-185 |
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Keywords |
CropM |
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Publisher |
CAB International |
Place of Publication |
Wallingford |
Editor |
Fuhrer, J.; Gregory, P.J. |
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Series Title |
Climate Change Impact and Adaptation in Agricultural Systems |
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Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
2897 |
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Author |
Kahiluoto, H.; Rötter, R.; Webber, H.; Ewert, F. |
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Title |
The Role of Modelling in Adapting and Building the Climate Resilience of Cropping Systems |
Type |
Book Chapter |
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Year |
2014 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
204-215 |
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Keywords |
CropM |
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Abstract |
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Publisher |
CAB International |
Place of Publication |
Wallingford |
Editor |
Fuhrer, J.; Gregory, P.J. |
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Language |
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Original Title |
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Series Editor |
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Series Title |
Climate Change Impact and Adaptation in Agricultural Systems |
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Notes |
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Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
2513 |
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Author |
Webber, H.; Zhao, G.; Britz, W.; deVries, W.; Wolf, J.; Gaiser, T.; Hoffmann, H.; Ewert, F. |
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Title |
Specification of nitrogen use in regional climate impact assessment studies |
Type |
Conference Article |
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Year |
2015 |
Publication |
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Abbreviated Journal |
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Place of Publication |
Montpellier (France) |
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5th International Symposium for Farming Systems Design, Montpellier, France, 2015-09-07 to 2015-09-10, Montpellier |
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Notes |
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no |
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Call Number |
MA @ admin @ |
Serial |
2899 |
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Author |
Webber, H.; Oomen, R.; Gaiser, T.; Teixeira, E.; Zhao, G.; Srivastava, A.; Zimmermann, A.; Wallach, D.; Ewert, F. |
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Title |
Uncertainty in future European irrigation water demand |
Type |
Conference Article |
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Year |
2016 |
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Place of Publication |
Berlin (Germany) |
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Conference |
International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany |
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Notes |
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Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
4900 |
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Author |
Webber, H.; Martre, P.; Asseng, S.; Kimball, B.; White, J.; Ottman, M.; Wall, G.W.; De Sanctis, G.; Doltra, J.; Grant, R.; Kassie, B.; Maiorano, A.; Olesen, J.E.; Ripoche, D.; Rezaei, E.E.; Semenov, M.A.; Stratonovitch, P.; Ewert, F. |
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Title |
Canopy temperature for simulation of heat stress in irrigated wheat in a semi-arid environment: A multi-model comparison |
Type |
Journal Article |
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Year |
2017 |
Publication |
Field Crops Research |
Abbreviated Journal |
Field Crops Research |
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Volume |
202 |
Issue |
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Pages |
21-35 |
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Keywords |
Crop model comparison; Canopy temperature; Heat stress; Wheat |
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Abstract |
Even brief periods of high temperatures occurring around flowering and during grain filling can severely reduce grain yield in cereals. Recently, ecophysiological and crop models have begun to represent such phenomena. Most models use air temperature (Tair) in their heat stress responses despite evidence that crop canopy temperature (Tc) better explains grain yield losses. Tc can deviate significantly from Tair based on climatic factors and the crop water status. The broad objective of this study was to evaluate whether simulation of Tc improves the ability of crop models to simulate heat stress impacts on wheat under irrigated conditions. Nine process-based models, each using one of three broad approaches (empirical, EMP; energy balance assuming neutral atmospheric stability, EBN; and energy balance correcting for the atmospheric stability conditions, EBSC) to simulate Tc, simulated grain yield under a range of temperature conditions. The models varied widely in their ability to reproduce the measured Tc with the commonly used EBN models performing much worse than either EMP or EBSC. Use of Tc to account for heat stress effects did improve simulations compared to using only Tair to a relatively minor extent, but the models that additionally use Tc on various other processes as well did not have better yield simulations. Models that simulated yield well under heat stress had varying skill in simulating Tc. For example, the EBN models had very poor simulations of Tc but performed very well in simulating grain yield. These results highlight the need to more systematically understand and model heat stress events in wheat. |
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Address |
2016-10-31 |
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Corporate Author |
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Publisher |
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Place of Publication |
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Editor |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0378-4290 |
ISBN |
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Medium |
Article |
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Notes |
CropM, ft_macsur |
Approved |
no |
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Call Number |
MA @ admin @ |
Serial |
4824 |
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