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Related Experiment Video

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A modelling framework to simulate foliar fungal epidemics using functional-structural plant models.

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    This study introduces a simplified framework for functional-structural plant models (FSPMs) to simulate plant-pathogen interactions. The new approach enhances understanding of crop protection strategies and facilitates multidisciplinary research in sustainable agriculture.

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    Area of Science:

    • Plant pathology
    • Computational biology
    • Sustainable agriculture

    Background:

    • Sustainable agriculture necessitates novel, eco-friendly crop protection methods.
    • Pathosystem modeling aids in understanding plant-pathogen dynamics and developing innovative strategies.
    • Functional-structural plant models (FSPMs) offer potential for optimizing architecture-related traits in crop protection.

    Purpose of the Study:

    • To provide a framework that simplifies and extends the modeling of pathosystems using FSPMs.
    • To address the complexity limitations of current FSPM approaches in pathosystem analysis.

    Main Methods:

    • Formalized pathosystem entities and interactions into a conceptual model.
    • Implemented a framework within the OpenAlea platform, extending its capabilities for plant-pathogen interactions.
    • Developed generic data structures for lesions and dispersal units, and protocols for canopy and microenvironment communication.
    • Integrated a library of elementary models for pathosystem simulation, leveraging existing OpenAlea models.

    Main Results:

    • Successfully implemented two contrasting pathosystems using the developed framework, demonstrating its generic utility.
    • Simulations confirmed the framework's capacity for multiscaled interaction analysis within pathosystems.
    • Validated the modularity and extensibility of models, showcasing the impact of canopy architecture on fungal dispersal.

    Conclusions:

    • The study presents a versatile framework for modeling diverse pathosystems with FSPMs.
    • The structure accommodates existing and novel models, enabling the integration of knowledge from different expert domains.
    • This framework serves as a valuable tool for a collaborative and evolving research community in plant pathology and sustainable agriculture.