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How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?

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Title How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?
 
Creator Durand, Jean-Louis
Delusca, Kenel
Boote, Kenneth J.
Lizaso, Jon
Manderscheid, Remy
Weigel, Hans Johachim
Ruane, Alex C.
Rosenzweig, Cynthia
Jones, Jim
Ahuja, Laj
Anapalli, Saseendran
Basso, Bruno
Baron, Christian
Bertuzzi, Patrick
Biernath, Christian
Deryng, Delphine
Ewert, Frank
Gaiser, Thomas
Gayler, Sebastian
Heinlein, Florian
Kersebaum, Kurt-Christian
Kim, Soo-Hyung
Müller, Christoph
Nendel, Claas
Olioso, Albert
Priesack, Eckart
Ramírez Villegas, Julián
Ripoche, Dominique
Rötter, Reimund P.
Seidel, Sabine I.
Srivastava, Amit
Tao, Fulu
Timlin, Dennis
Twine, Tracy E
Wang, Enli
Webber, Heidi
Zhao, Zhigan
 
Subject ZEA MAYS
CARBON DIOXIDE
YIELD
WATER USE
CLIMATE CHANGE
MAÍZ DE LA INDIA
DIÓXIDO DE CARBONO
RENDIMIENTO
USO DEL AGUA
CAMBIO CLIMATICO
 
Description This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thünen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.
Peer Review
 
Date 2017-02-17T19:52:17Z
2017-02-17T19:52:17Z
2017-01
 
Type Journal Article
 
Identifier Durand, Jean-Louis; Delusca, Kenel; Boote, Ken; Lizaso, Jon; Manderscheid, Remy; Weigel, Hans Johachim; Ruane, Alex C; Rosenzweig, Cynthia; Jones, Jim; Ahuja, Laj; Anapalli, Saseendran; Basso, Bruno; Baron, Christian; Bertuzzi, Patrick; Biernath, Christian; Deryng, Delphine; Ewert, Frank; Gaiser, Thomas; Gayler, Sebastian; Heinlein, Florian; Kersebaum, Furt Christian; Kim, Soo-Hyung; Müller, Christoph; Nendel, Claas; Olioso, Albert; Priesack, Eckart; Ramirez Villegas, Julian; Ripoche, Dominique; Rötter, Reimund P.; Seidel, Sabine I; Srivastava, Amit; Tao, Fulu; Timlin, Dennis; Twine, Tracy; Wang, Enli; Webber, Heidi; Zhao, Zhigan. 2017. How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield? . European Journal of Agronomy 1-9 p.
1161-0301
https://hdl.handle.net/10568/79936
 
Language en
 
Format 1-9 p.
 
Source European Journal of Agronomy