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Related Experiment Video

Updated: Mar 31, 2026

Author Spotlight: Integrating Biochemical Functions of β-Glucanases and Peroxidase Enzymes in Wheat-RWA Interaction

Author Spotlight: Integrating Biochemical Functions of β-Glucanases and Peroxidase Enzymes in Wheat-RWA Interaction

Published on: July 26, 2024

Wheat growth model capturing growth-defense trade-off.

Pauline Dusfour-Castan¹, Gerhard Buck-Sorlin², Patrice Loisel¹

¹Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie (MISTEA), University of Montpellier, Institut National de la Recherche Agronomique (INRAE), Institut Agro, Montpellier, France.

Frontiers in Plant Science

|March 30, 2026

Summary

This study reviews plant growth models, highlighting their limitations in simulating stress impacts on crop productivity. It proposes a new conceptual model integrating growth-defense trade-offs for better agroecological simulations.

Keywords:

functional-structural plant modeling growth-defense trade-off hormones plant growth model source-sink relationship stress wheat

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Published on: December 2, 2016

Area of Science:

Agricultural Science
Plant Physiology
Computational Biology

Background:

Agroecological systems face multiple stresses impacting crop productivity.
Current plant growth models (PBMs, FSPMs) often neglect these crucial stress factors.
Existing models focus on yield prediction, lacking integration of physiological stress responses.

Purpose of the Study:

To analyze current process-based models (PBMs) and Functional-Structural Plant Models (FSPMs) for wheat growth simulation.
To review physiological growth concepts and resource allocation trade-offs, particularly growth vs. defense.
To propose a conceptual model integrating trade-offs and hormonal signaling for improved agroecological modeling.

Main Methods:

Analysis of existing PBMs and FSPMs structure, components, and limitations.
Review of physiological concepts: photosynthesis, nitrogen uptake, source-sink relationships, respiration.
Development of a conceptual model incorporating growth-defense trade-offs and hormonal signaling.

Main Results:

Current models inadequately represent biotic and abiotic stress impacts on crop growth.
Resource allocation trade-offs, especially between growth and defense, are underrepresented in existing frameworks.
A conceptual model is proposed to explicitly integrate these trade-offs and hormonal networks.

Conclusions:

Improved crop productivity in agroecological systems requires models that integrate physiological stress mechanisms.
Explicit integration of growth-defense trade-offs and hormonal signaling is crucial for stress-resilient crop modeling.
The proposed conceptual model enhances the ability of models to support agroecological principles.