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Updated: Jun 12, 2026

Kinematic Analysis of Cell Division and Expansion: Quantifying the Cellular Basis of Growth and Sampling Developmental Zones in Zea mays Leaves
Published on: December 2, 2016
On the structure-bounded growth processes in plant populations
H G Kilian1, M Kazda, F Király
1Abteilung Experimentelle Physik, Universität Ulm, Albert-Einstein Allee 11, 89069, Ulm, Germany. hanns-georg.kilian@uni-ulm.de
Plant growth is optimal when reaction-entropy matches increments' contact energy. This model explains bimodal growth curves and continuous solidification in plants.
Area of Science:
- Plant biology
- Biophysics
- Theoretical ecology
Background:
- Plant growth is a complex process influenced by cellular dynamics.
- Existing models often simplify the interactions within plant tissues.
- Understanding the physical and entropic factors governing growth is crucial.
Purpose of the Study:
- To formulate an extended law of mass action for plant growth based on cellular increments.
- To investigate the role of reaction-entropy and contact energy in optimal plant development.
- To model the bimodal growth curves and continuous solidification observed in plants.
Main Methods:
- Formulation of an extended law of mass action considering increments (ICs).
- Analysis of the relationship between reaction-entropy and contact energy for optimal growth.
- Development of equations describing logistical structure-dynamics for growth curves.
- Modeling of signal-response systems within finite-sized cell ensembles.
Main Results:
- Optimal plant growth occurs when reaction-entropy matches the contact energy of increments.
- Thermal molecular movements aid in removing structural disturbances.
- Stem diameter distributions show fluctuations due to constraints.
- A network of size-limited subsystems forms in large plants.
- Equations accurately describe bimodal growth curves and continuous solidification.
Conclusions:
- The proposed model provides a framework for understanding plant growth dynamics.
- Entropy and energy interactions at the cellular level are key determinants of growth patterns.
- The model successfully explains phenomena like bimodal growth and growth cessation.
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