Reconciling experimentation and modelling in the design of alternative agricultural systems

Tittonell Pablo, Bianchi Felix J.J.A., Groot Jeroen C.J., Lantinga Egbert A., Scholberg Johannes M.S., Rossing Walter A.H.. 2012. Reconciling experimentation and modelling in the design of alternative agricultural systems. In : Conservation agriculture and sustainable upland livelihoods innovations for, with and by farmers to adapt to local and global changes : Proceedings the 3rd International Conference on Conservation Agriculture in Southeast Asia, held in Hanoi, Vietnam, 10t. Hauswirth Damien (ed.), Pham Thi Sen (ed.), Nicetic Oleg (ed.), Tivet Florent (ed.), Doanh Le Quoc (ed.), Van de Fliert Elske (ed.), Kirchhof Gunnar (ed.), Boulakia Stéphane (ed.), Chabierski Stéphane (ed.), Husson Olivier (ed.), Chabanne André (ed.), Boy. CIRAD, University of Queensland. Montpellier : CIRAD, 142-155. ISBN 978-2-87614-687-7 International Conference on Conservation Agriculture in Southeast Asia. 3, Hanoi, Viet Nam, 10 Décembre 2012/15 Décembre 2012.

Résumé : Linking experimentation, field data collection and modelling is essential in the design of alternative agricultural systems. Most alternative agricultural systems, such as conservation agriculture (CA), organic farming or ecologically intensive low-input systems, rely largely on biologically mediated processes and ecological-based support and regulation services. Since deterministic modelling of such systems typically fails to reproduce their intrinsic behaviour and complexity, experimentation remains indispensable in many cases. We show through examples that field measurements, experiments and modelling can support each other when one is diagnosing a specific problem or exploring viable alternatives as part of the design of, for example, disease-tolerant cropping systems, pest-suppressive landscapes or closely integrated crop-livestock farming systems. Expert knowledge and farmer perceptions may provide essential clues for validating models at scales transcending the field-plot scale. Instead of segregating modelling from field observations, experiments or practitioner knowledge, we propose a framework for their integration in the design of alternative agricultural systems.

Classification Agris : U10 - Informatique, mathématiques et statistiques
U30 - Méthodes de recherche
F08 - Systèmes et modes de culture

Auteurs et affiliations

• Tittonell Pablo, CIRAD-PERSYST-UPR SCA (ZWE)
• Bianchi Felix J.J.A., Wageningen University and Research Centre (NLD)
• Groot Jeroen C.J., Wageningen University and Research Centre (NLD)
• Lantinga Egbert A., Wageningen University (NLD)
• Scholberg Johannes M.S., Wageningen University (NLD)
• Rossing Walter A.H., Wageningen University and Research Centre (NLD)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/567376/)

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