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Related Experiment Video

Updated: Jun 17, 2026

Assessing Structural Traits in Triticum aestivum and Zea mays for C3 and C4 Photosynthetic Differentiation Using Free-hand and Semi-thin Sections

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Functional-structural plant modelling: a new versatile tool in crop science.

J Vos¹, J B Evers, G H Buck-Sorlin

¹Centre for Crop Systems Analysis, Wageningen University, PO Box 430, 6700 AK, Wageningen, The Netherlands. jan.vos@wur.nl

Journal of Experimental Botany

|December 10, 2009

Summary

This summary is machine-generated.

Functional-structural plant models (FSPM) integrate plant structure and physiology. These models are useful for understanding plant responses to the environment and for optimizing crop management strategies.

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Area of Science:

Plant Sciences
Computational Biology
Agricultural Science

Background:

Plants dynamically adjust structure and physiology in response to environmental cues and human management.
Functional-structural plant models (FSPMs) integrate 3D plant architecture with physiological functions to simulate plant behavior.
FSPMs comprise an architectural component (organ initiation, expansion, geometry) and a process component (photosynthesis, carbon allocation).

Purpose of the Study:

To elucidate the construction principles of FSPMs.
To highlight the diverse applications and utility of FSPMs in plant science and agriculture.
To differentiate between static and dynamic modeling approaches within FSPMs.

Main Methods:

Distinguishing between static architectural models and dynamic models that integrate environmental modulation.
Describing the components of FSPMs: plant structure (topology, expansion, geometry) and plant functioning (physiological processes).
Reviewing the construction methodologies and integration of architectural and process-based components.

Main Results:

Static models are valuable for analyzing plant structure's impact on light distribution, gas exchange, and biotic interactions.
Dynamic models quantitatively integrate plant functions and morphology, aiding in the study of environmental influences like light quality.
FSPMs are increasingly important for assessing genetic trait significance on plant performance and for exploring crop management strategies.

Conclusions:

FSPMs are versatile tools for understanding plant plasticity and environmental responses.
The application of FSPMs extends to optimizing agricultural practices and crop breeding by evaluating genetic variations.
FSPMs provide a robust framework for simulating and predicting plant performance under various conditions.