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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 |
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Book Chapter |
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Year |
2014 |
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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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Call Number |
MA @ admin @ |
Serial |
2897 |
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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 |
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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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no |
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Call Number |
MA @ admin @ |
Serial |
2899 |
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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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Corporate Author |
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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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Summary 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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Series Issue |
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Call Number |
MA @ admin @ |
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2513 |
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Author |
Eyshi Rezaei, E.; Webber, H.; Gaiser, T.; Naab, J.; Ewert, F. |
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Title |
Heat stress in cereals: Mechanisms and modelling |
Type |
Journal Article |
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Year |
2015 |
Publication |
European Journal of Agronomy |
Abbreviated Journal |
European Journal of Agronomy |
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Volume |
64 |
Issue |
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Pages |
98-113 |
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Keywords |
high temperature; heat stress; cereal yield; climate change impact; crop modelling; high-temperature stress; tropical maize hybrids; triticum-aestivum l; high-yielding rice; induced spikelet sterility; stem reserve mobilization; climate-change impacts; oryza-sativa l.; grain-yield; kernel set |
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Abstract |
Increased climate variability and higher mean temperatures are expected across many world regions, both of which will contribute to more frequent extreme high temperatures events. Empirical evidence increasingly shows that short episodes of high temperature experienced around flowering can have large negative impacts on cereal grain yields, a phenomenon increasingly referred to as heat stress. Crop models are currently the best tools available to investigate how crops will grow under future climatic conditions, though the need to include heat stress effects has been recognized only relatively recently. We reviewed literature on both how key crop physiological processes and the observed yields under production conditions are impacted by high temperatures occurring particularly in the flowering and grain filling phases for wheat, maize and rice. This state of the art in crop response to heat stress was then contrasted with generic approaches to simulate the impacts of high temperatures in crop growth models. We found that the observed impacts of heat stress on crop yield are the end result of the integration of many processes, not all of which will be affected by a “high temperature” regime. This complexity confirms an important role for crop models in systematizing the effects of high temperatures on many processes under a range of environments and realizations of crop phenology. Four generic approaches to simulate high temperature impacts on yield were identified: (1) empirical reduction of final yield, (2) empirical reduction in daily increment in harvest index, (3) empirical reduction in grain number, and (4) semi-deterministic models of sink and source limitation. Consideration of canopy temperature is suggested as a promising approach to concurrently account for heat and drought stress, which are likely to occur simultaneously. Improving crop models’ response to high temperature impacts on cereal yields will require experimental data representative of field production and should be designed to connect what is already known about physiological responses and observed yield impacts. (C) 2014 Elsevier B.V. All rights reserved. |
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Address |
2016-06-01 |
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Language |
English |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1161-0301 |
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Medium |
Review |
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Notes |
CropM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4741 |
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Author |
Webber, H.; Ewert, F.; Kimball, B.A.; Siebert, S.; White, J.W.; Wall, G.W.; Ottman, M.J.; Trawally, D.N.A.; Gaiser, T. |
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Title |
Simulating canopy temperature for modelling heat stress in cereals |
Type |
Journal Article |
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Year |
2016 |
Publication |
Environmental Modelling & Software |
Abbreviated Journal |
Env. Model. Softw. |
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Volume |
77 |
Issue |
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Pages |
143-155 |
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Keywords |
canopy temperature; heat stress; cereals; crop models; profile relationships; crop production; climate-change; spring wheat; field plots; growth; maize; water; yields; variability |
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Abstract |
Crop models must be improved to account for the effects of heat stress events on crop yields. To date, most approaches in crop models use air temperature to define heat stress intensity as the cumulative sum of thermal times (TT) above a high temperature threshold during a sensitive period for yield formation. However, observational evidence indicates that crop canopy temperature better explains yield reductions associated with high temperature events than air temperature does. This study presents a canopy level energy balance using Monin ObukhovSimilarity Theory (MOST) with simplifications about the canopy resistance that render it suitable for application in crop models and other models of the plant environment. The model is evaluated for a uniform irrigated wheat canopy in Arizona and rainfed maize in Burkina Faso. No single variable regression relationships for key explanatory variables were found that were consistent across sowing dates to explain the deviation of canopy temperature from air temperature. Finally, thermal times determined with simulated canopy temperatures were able to reproduce thermal times calculated with observed canopy temperature, whereas those determined with air temperatures were not. (C) 2015 Elsevier Ltd. All rights reserved. |
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Corporate Author |
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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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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1364-8152 |
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Article |
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Notes |
CropM, ft_macsur |
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Call Number |
MA @ admin @ |
Serial |
4730 |
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