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    The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations

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    Authors
    Martre, Pierre
    Kimball, Bruce A.
    Ottman, Michael J.
    Wall, Gerard W.
    White, Jeffrey W.
    Asseng, Senthold
    Ewert, Frank
    Cammarano, Davide
    Maiorano, Andrea
    Aggarwal, Pramod K.
    Anothai, Jakarat
    Basso, Bruno
    Biernath, Christian
    Challinor, Andrew J.
    Sanctis, Giacomo de
    Doltra, Jordi
    Dumont, Benjamin
    Fereres, Elias
    García Vila, Margarita
    Gayler, Sebastian
    Hoogenboom, Gerrit
    Hunt, Leslie A.
    Izaurralde, Roberto César
    Jabloun, Mohamed
    Jones, Curtis D.
    Kassie, Belay T.
    Kersebaum, Kurt-Christian
    Köhler, Ann-Kristin
    Müller, Christoph
    Kumar, Soora Naresh
    Liu, Bing
    Lobell, David B.
    Nendel, Claas
    O'Leary, Garry J.
    Olesen, Jørgen E.
    Palosuo, Taru
    Priesack, Eckart
    Rezaei, Ehsan Eyshi
    Ripoche, Dominique
    Rötter, Reimund P.
    Semenov, Mikhail A.
    Stöckle, Claudio O.
    Stratonovitch, Pierre
    Streck, Thilo
    Supit, Iwan
    Tao, Fulu
    Thorburn, Peter J.
    Waha, Katharina
    Wang, Enli
    Wolf, Joost
    Zhao, Zhigan
    Zhu, Yan
    Date
    2018-04
    Language
    en
    Type
    Journal Article
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
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    Citation
    Martre P, Kimball BA, Ottman MJ, Wall GW, White JW, Asseng S, Ewert F, Cammarano D, Maiorano A, Aggarwal PK, Anothai J. 2018. The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations. Open Data Journal for Agricultural Research 4:28-34.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/100187
    External link to download this item: https://library.wur.nl/ojs/index.php/ODJAR/article/view/15830
    Abstract/Description
    The data set reported here includes the part of a Hot Serial Cereal Experiment (HSC) experiment recently used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat models and quantify their response to temperature. The HSC experiment was conducted in an open-field in a semiarid environment in the southwest USA. The data reported herewith include one hard red spring wheat cultivar (Yecora Rojo) sown approximately every six weeks from December to August for a two-year period for a total of 11 planting dates out of the 15 of the entire HSC experiment. The treatments were chosen to avoid any effect of frost on grain yields. On late fall, winter and early spring plantings temperature free-air controlled enhancement (T-FACE) apparatus utilizing infrared heaters with supplemental irrigation were used to increase air temperature by 1.3°C/2.7°C (day/night) with conditions equivalent to raising air temperature at constant relative humidity (i.e. as expected with global warming) during the whole crop growth cycle. Experimental data include local daily weather data, soil characteristics and initial conditions, detailed crop measurements taken at three growth stages during the growth cycle, and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models.
    CGIAR Author ORCID iDs
    Pierre Martrehttps://orcid.org/0000-0002-7419-6558
    Senthold Assenghttps://orcid.org/0000-0002-7583-3811
    CGIAR Affiliations
    Climate Change, Agriculture and Food Security
    AGROVOC Keywords
    food security; agriculture; climate change
    Related material
    Related data file: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/M9ZT0F
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