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Communication Dans Un Congrès Année : 2022

Coupling plant growth models, application on pest & disease models: an interaction structure proposal

Résumé

Prediction of plant production under pest or disease attack is usually estimated in the short term. Medium and long term production projections are rarely taken into account; and this is partly due to the lack of mechanistic dynamic approaches to model and simulate the interactions between the plant growth and the attacks at the organ level. Therefore, attacks feedback on the plant itself can hardly be assessed. The main objective of our study is to develop a framework and tools to couple plant growth and P&D attack models and even cultural management models (treatment, harvest). This framework will allow us to simulate the effects of attacks on production over the long term, and to better understand the underlying influencing mechanisms. We illustrate the implementation of this framework on the case of the Arabica coffee tree growth, subjected to coffee berry borer attacks.
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Dates et versions

hal-03990801 , version 1 (15-02-2023)

Identifiants

  • HAL Id : hal-03990801 , version 1

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Houssem E. M. Triki, Fabienne Ribeyre, Fabrice Pinard, Marc Jaeger. Coupling plant growth models, application on pest & disease models: an interaction structure proposal. 7th International Symposium on Plant Growth Modeling, Simulation, Visualization, and Applications (PMA 2022), Oct 2022, Wuxi, China. ⟨hal-03990801⟩
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