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Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles
2016
158 citations
Journal Article
green Open Access
Field-Weighted Citation Impact:
45.63
Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles | Researchclopedia
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Rothamsted Research
Daniel Wallach
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AGroecologies, Innovations & Ruralities
Enli Wang
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Commonwealth Scientific and Industrial Research Organisation
Phillip D. Alderman
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Centro Internacional de Mejoramiento de Maíz Y Trigo
Belay T. Kassie
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University of Florida
Christian Biernath
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Leibniz Institute of Plant Biochemistry
Bruno Basso
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Michigan State University
Davide Cammarano
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James Hutton Institute
Andrew J. Challinor
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University of Leeds
Jordi Doltra
Benjamin Dumont
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W.K. Kellogg Foundation
Ehsan Eyshi Rezaei
Sebastian Gayler
Kurt Christian Kersebaum
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Leibniz Centre for Agricultural Landscape Research
Bruce A. Kimball
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U.S. Arid Land Agricultural Research Center
Ann-Kristin Koehler
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University of Leeds
Bing Liu
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Nanjing Agricultural University
Garry J. O’Leary
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Water Research Australia
Jørgen E. Olesen
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Danish Cattle Research Centre
Michael J. Ottman
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Plant (United States)
Eckart Priesack
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Leibniz Institute of Plant Biochemistry
Matthew Reynolds
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Centro Internacional de Mejoramiento de Maíz Y Trigo
Pierre Stratonovitch
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Rothamsted Research
Thilo Streck
Peter J. Thorburn
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Commonwealth Scientific and Industrial Research Organisation
Katharina Waha
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Commonwealth Scientific and Industrial Research Organisation
Gerard W. Wall
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U.S. Arid Land Agricultural Research Center
Jeffrey W. White
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U.S. Arid Land Agricultural Research Center
Zhigan Zhao
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Commonwealth Scientific and Industrial Research Organisation
Yan Zhu
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Nanjing Agricultural University