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The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations

Authors

  • Pierre Martre INRA
  • Matthew P. Reynolds CIMMYT
  • Senthold Asseng University of Florida
  • Frank Ewert University of Bonn
  • Phillip D. Alderman CIMMYT
  • Davide Cammarano University of Florida
  • Andrea Maiorano INRA
  • Alexander C. Ruane NASA Goddard Institute for Space Studies
  • Pramod K. Aggarwal International Water Management Institute
  • Jakarat Anothai Washington State University
  • Bruno Basso Michigan State University
  • Christian Biernath Helmholtz Zentrum München
  • Andrew J. Challinor University of Leeds
  • Giacomo De Sanctis Joint Research Centre
  • Jordi Doltra Cantabrian Agricultural Research and Training Centre
  • Benjamin Dumont Michigan State University
  • Elias Fereres University of Cordoba
  • Margarita Garcia-Vila University of Cordoba
  • Sebastian Gayler University of Hohenheim,
  • Gerrit Hoogenboom Washington State University
  • Leslie A. Hunt University of Guelph
  • Roberto C. Izaurralde University of Maryland
  • Mohamed Jabloun Aarhus University
  • Curtis D. Jones University of Maryland
  • Belay T. Kassie University of Florida
  • Kurt C. Kersebaum Leibniz Centre for Agricultural Landscape Research
  • Ann-Kristin Koehler University of Leeds
  • Christoph Müller Potsdam Institute for Climate Impact Research
  • Soora Naresh Kumar Indian Agricultural Research Institute
  • Bing Liu Nanjing Agricultural University
  • David B. Lobell Stanford University
  • Claas Nendel Leibniz Centre for Agricultural Landscape Research
  • Garry O'Leary Department of Economic Development, Jobs, Transport and Resources
  • Jørgen E. Olesen Aarhus University
  • Taru Palosuo Natural Resources Institute Finland
  • Eckart Priesack Helmholtz Zentrum München
  • Ehsan Eyshi Rezaei University of Bonn
  • Dominique Ripoche INRA
  • Reimund P. Rötter Natural Resources Institute Finland
  • Mikhail A. Semenov Rothamsted Research
  • Claudio Stöckle Washington State University
  • Pierre Stratonovitch Rothamsted Research
  • Thilo Streck University of Hohenheim
  • Iwan Supit Wageningen University
  • Fulu Tao Chinese Academy of Science
  • Peter Thorburn CSIRO Agriculture
  • Katharina Waha Potsdam Institute for Climate Impact Research
  • Enli Wang CSIRO Agriculture
  • Jeffrey W. White U.S. Arid-Land Agricultural Research Center
  • Joost Wolf Wageningen University
  • Zhigan Zhao China Agricultural University
  • Yan Zhu Nanjing Agricultural University

DOI:

https://doi.org/10.18174/odjar.v3i1.15766

Abstract

The data set contains a portion of the International Heat Stress Genotype Experiment (IHSGE) data used in the AgMIP-Wheat project to analyze the uncertainty of 30 wheat crop models and quantify the impact of heat on global wheat yield productivity. It includes two spring wheat cultivars grown during two consecutive winter cropping cycles at hot, irrigated, and low latitude sites in Mexico (Ciudad Obregon and Tlaltizapan), Egypt (Aswan), India (Dharwar), the Sudan (Wad Medani), and Bangladesh (Dinajpur). Experiments in Mexico included normal (November-December) and late (January-March) sowing dates. Data include local daily weather data, soil characteristics and initial soil conditions, crop measurements (anthesis and maturity dates, anthesis and final total above ground biomass, final grain yields and yields components), and cultivar information. Simulations include both daily in-season and end-of-season results from 30 wheat models. All data are available via DOI 10.7910/DVN/ECSFZG.

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Published

2017-06-13

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Issue

Vol. 3 (2017)

Section

Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.