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A sequential approach for improving AZODYN crop model under conventional and low-input conditions

David, Christophe and Jeuffroy, Marie-Hélène (2009) A sequential approach for improving AZODYN crop model under conventional and low-input conditions. European Journal of Agronomy, 31 (4), pp. 177-182.

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Advances in scientific understanding of the plant and soil behaviour in a cultivated field led to the design of numerous soil-crop models simulating crop growth. The frequent low predictive quality of these models is linked to uncertainties in inputs, parameters and equations. The AZODYN crop model predicting wheat grain yield and grain protein content was previously developed to support decision for N management of conventional and organic wheat crops. This paper outlines a sequential approach to improve the predictions of the AZODYN model by testing various formalisms. This study is based on the comparison of 38 versions of the model assessed in multi-environment trials carried out under conventional or low-input conditions. This paper describes and discusses the methodology. The results show that the predictive value of grain yield and grain protein content could be largely improved without increasing model complexity.

EPrint Type:Journal paper
Subjects: Crop husbandry > Production systems > Cereals, pulses and oilseeds
Crop husbandry > Composting and manuring
Soil > Nutrient turnover
Research affiliation: European Union > CORE Organic > AGTEC-Org
France > INRA - Institut National de la Recherche Agronomique
France > ISARA - Institut supérieure d’agriculture Lyon
Deposited By: CELETTE, Florian
ID Code:19494
Deposited On:31 Oct 2011 07:47
Last Modified:31 Oct 2011 07:47
Document Language:English
Refereed:Peer-reviewed and accepted

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