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Wageningen Agricultural University

Sub-department of Theoretical Production Ecology

 

Theme 2: Crop Growth and Development

Model evaluation of experimental variability to improve predictability of crop yields under climate change (MODEXCROP).

Researcher(s):J. Wolf, J. Goudriaan

Aim

The yield response of crops to future global climatic conditions is still hard to predict. For example, the yield response of wheat to a doubling of the ambient atmospheric CO2 concentration varied in field experiments between no increase of yield to almost a doubling of the yield. The aim of this project is to improve the understanding of causes of variability in crop yields in relation to expected global climatic changes.
In the project special attention will be given to the yield response of wheat. Existing data sets on wheat productivity under ambient and future CO2 conditions will be collected, and analysed using detailed mechanistic crop growth models (SUCROS, AFRCWHEAT, WIMOVAC). Single factors, such as temperature and nutrient or water availability, will be tested on their effect on the CO2 response factor. If required, algorithms will be added to the models. Model performances will be compared.

Cooperation

KVL-Royal Veterinary and Agricultural University, Dept of Agricultural Sciences (DK) University of Essex, Dept of Biological and Chemical Sciences (UK), AB-DLO (NL), IACR-Rothamsted (UK), IATA-CNR-Florence (IT), INRA-Clermont Ferrand (F), Justus Liebig University (DL), and USDA-ARS-Phoenix (USA).

Progress

The project started in July 1996. The collection and analysis of experimental data sets is in progress. Data from the FACE experiments in Arizona are analysed. Simulations with the various crop growth models for the specific FACE conditions were made. Experimental data of FACE show that the above-ground wheat biomass response to elevated CO2 (370 versus 550 ppm) is circa 20% at anthesis and 10% at maturity under conditions of potential production situations. The models simulated comparable biomass responses for potential production situations when observed phenology and leaf area indices were fitted. When the leaf area indices were not fitted, the models tended to overestimate the biomass response to elevated CO2. In the coming year more data sets will be analysed and more simulations will be made.

Publications

C. Kempenaar, 1997. Mid-term report on state of the art of MODEXCROP. Wageningen Agricultural University, Dept. of Theoretical Production Ecology, Wageningen, 12 pp.

Project: EU-ENVIRONMENT Programme 1995-1997.

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Last modified: August 19, 1997