Publication:
Simulation of winter wheat yield and its variability in different climates of Europe: A comparison of eight crop growth models

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Çaldağ, Barış
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Elsevier BV

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We compared the performance of eight widely used, easily accessible and well-documented crop growth simulation models (APES, CROPSYST, DAISY, DSSAT, FASSET, HERMES. STICS and WOFOST) for winter wheat (Triticum aestivum L) during 49 growing seasons at eight sites in northwestern, Central and southeastern Europe. The aim was to examine how different process-based crop models perform at the field scale when provided with a limited set of information for model calibration and simulation, reflecting the typical use of models for large-scale applications, and to present the uncertainties related to this type of model application. Data used in the simulations consisted of daily weather statistics, information on soil properties, information on crop phenology for each cultivar, and basic crop and soil management information.

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European Journal of Agronomy

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1161-0301

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OPEN

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[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, plante céréaliere, Academy of Finland, Environment (including Climate Change), modèle de culture, sato, Climatic variability, Model comparison, Crop growth model, Simulation, Winter wheat, Yield prediction, FP7, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, SP1-Cooperation, Model comparison, simulation, winter wheat, Agricultural sciences, Winter wheat, model comparison, Ka, europe, Simulation, mallintaminen, climatic variability, Ys, kasvu, crop growth model, prévision de rendement, modèle mathématique, blé, simulointi, European Commission, EC, climat, triticum, Climatic variability, aide à la décision, mallit, ennusteet, Crop growth model, ilmastonmuutokset, Yield prediction, yield prediction, syysvehnä, Sciences agricoles

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