The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles (Data Paper) Open Data Journal for Agricultural Research Year : 2018

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

1 LEPSE - Écophysiologie des Plantes sous Stress environnementaux
2 Agricultural Research Service / US Arid Land Agricultural Research Center
3 The School of Plant Sciences
4 UF|ABE - Department of Agricultural and Biological Engineering [Gainesville]
5 INRES - Institute of Crop Science and Resource Conservation [Bonn]
6 CGIAR - Consultative Group on International Agricultural Research
7 AgWeatherNet Program
8 Department of Geological Sciences and W. K. Kellogg Biological Station
9 German Research Center for Environmental Health - Helmholtz Center München (GmbH)
10 University of Leeds
11 GMO Unit
12 CIFA - Catabrian Agricultural Research and Training Center
13 Universidad de Córdoba = University of Córdoba [Córdoba]
14 IAS CSIC - Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture
15 Institute of Soil Science and Land Evaluation
16 Department of Plant Agriculture
17 Department of Geographical Sciences
18 Texas A and M AgriLife Research
19 Department of Agroecology
20 Leibniz Association
21 PIK - Potsdam Institute for Climate Impact Research
22 IARI - Indian Agricultural Research Institute
23 National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production
24 Department of Environmental Earth System Science and Center on Food Security and the Environment
25 Landscape & Water Sciences
26 LUKE - Natural Resources Institute Finland
27 AGROCLIM - Agroclim
28 Computational and Systems Biology Department
29 Biological Systems Engineering
30 PPS and WSG &CALM
31 IGSNRR - Institute of geographical sciences and natural resources research [CAS]
32 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
33 College of Agronomy and Biotechnology
Giacomo de Sanctis
  • Function : Author
Gerrit Hoogenboom
Claas Nendel
Dominique Ripoche
  • Function : Author
  • PersonId : 1203111
Iwan Supit
  • Function : Author
Joost Wolf
  • Function : Author

Abstract

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.
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hal-02619668 , version 1 (25-05-2020)

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Pierre Martre, Bruce A. Kimball, Michael J. Ottman, Gerard W. Wall, Jeffrey W. White, et al.. 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, 2018, 4, pp.28-34. ⟨10.18174/odjar.v4i0.15830⟩. ⟨hal-02619668⟩
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