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

  • Pierre Martre (Creator)
  • Bruce A. Kimball (Creator)
  • Michael J. Ottman (Creator)
  • Gerard W. Wall (Creator)
  • Jeffrey W. White (Creator)
  • Senthold Asseng (Creator)
  • Frank Ewert (Creator)
  • Davide Cammarano (Creator)
  • Andrea Maiorano (Creator)
  • Pramod K. Aggarwal (Creator)
  • Iwan Supit (Creator)
  • J. Wolf (Creator)



The dataset 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.
Date made available26 Feb 2018
PublisherWageningen University & Research


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

    Martre, P., Kimball, B. A., Ottman, M. J., Wall, G. W., White, J. W., Asseng, S., Ewert, F., Cammarano, D., Maiorano, A., Aggarwal, P. K., Anothai, J., Basso, B., Biernath, C., Challinor, A. J., De Sanctis, G., Doltra, J., Dumont, B., Fereres, E., Garcia-Vila, M., Gayler, S., & 32 othersHoogenboom, G., Hunt, L. A., Izaurralde, R. C., Jabloun, M., Jones, C. D., Kassie, B. T., Kersebaum, K. C., Koehler, A-K., Müller, C., Kumar, S. N., Liu, B., Lobell, D. B., Nendel, C., O'Leary, G., Olesen, J. E., Palosuo, T., Priesack, E., Rezaei, E. E., Ripoche, D., Rötter, R. P., Semenov, M. A., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P., Waha, K., Wang, E., Wolf, J., Zhao, Z. & Zhu, Y., 25 Apr 2018, In: ODjAR : open data journal for agricultural research. 4, p. 28-34

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access

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