Wheat growth model capturing growth-defense trade-off.

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.