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Book: Methods of Introducing System Models into Agricultural Research
Published by: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America



  1.  p. 297-326
    Advances in Agricultural Systems Modeling 2.
    Methods of Introducing System Models into Agricultural Research

    Laj R. Ahuja and Liwang Ma (ed.)

    ISBN: 978-0-89118-196-5


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Modeling Winter Wheat Production across Europe with WOFOST—The Effect of Two New Zonations and Two Newly Calibrated Model Parameter Sets

  1. Joost Wolf,
  2. Rudi Hessel,
  3. Hendrik Boogaard,
  4. Allard de Wit,
  5. Wies Akkermans and
  6. Kees van Diepen
  1. J. Wolf, Wageningen Univ., group Plant Production systems, P.O. Box 430, 6700 AK Wageningen, The Netherlands (minghan@tamu.edu); R. Hessel, H. Boogaard, A. de Wit, and K. van Diepen, Alterra Research Institute, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands; W. Akkermans, Plant Research International, Bornsesteeg 47, 6700 AA Wageningen, The Netherlands.


The Crop Growth Monitoring System (CGMS) is applied for regional monitoring of growing conditions, for simulating growth and yields of the main arable crops, and for producing regional yield forecasts over Europe. An automated Calibration Platform (CALPLAT) was developed and applied for calculating model parameters. The basic ideas of the calibration approach in CALPLAT and its main structure were discussed. With CALPLAT, the model parameters TSUM1 and TSUM2 were calculated for winter wheat (Triticum aestivum L.) across Europe. These parameters determine the phenological development of crops simulated with the WOFOST simulation model in CGMS. The calibration analyses were done at the European scale for a recently compiled set of observed crop data and for two new zonations (i.e., NUTS-2 administrative and agro-climatic zonation) for Europe. The resulting model parameters were used for crop growth simulations across Europe. The results of the crop growth simulations for winter wheat over Europe with CGMS-WOFOST for the two newly produced crop parameter sets were compared. The successfulness of the CALPLAT approach for calibrating crop parameters in CGMS can be evaluated on the basis of these CGMS results.

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