Plant Biological Processes

Plants are the cornerstone of the Earth's ecosystem, responsible for the global carbon cycle, oxygen production, and the maintenance of agriculture and biodiversity. With the global population growth, climate change, and increasing pressure on land resources, how to improve plant production efficiency, adapt to environmental changes, and achieve sustainable agricultural production has become a key topic of global research. In order to meet these challenges, accurate understanding and modeling and simulation of plant biological processes are particularly important.

Fig.1 Flow chart on molecular dynamics simulation of plant biomolecules. (Wu JT, et al., 2023)

Our Services

• Photosynthesis Modeling and Simulation

Dynamic process simulation: Analyze the kinetic changes of the electron transport chain during photosynthesis, as well as the energy distribution between photochemical and dark reactions.

Study on the impact of environmental variables: Optimize the design of passive and active mixers to achieve efficient liquid mixing.

Carbon sink analysis: Simulate the contribution of plants to the global carbon cycle and evaluate the carbon sequestration potential of different vegetation types.

• Plant water management and transpiration analysis

Transpiration modeling: Simulate the water loss process under stomatal regulation and analyze plant water use efficiency.

Water stress response: Study the effects of extreme conditions such as drought and flooding on plant water absorption and transportation.

Optimize irrigation strategies: Provide scientific basis for agricultural production and water-saving technology.

• Plant Morphology Modeling and Simulation

3D structure simulation: Reconstruct the overall structure of plants based on the L system (Lindenmayer system), including the growth process of roots, stems, leaves and flowers.

Canopy optimization: Study the relationship between photosynthesis efficiency and plant arrangement through a virtual canopy model to optimize planting density.

Organ level simulation: Model the morphology and function of leaves, root tips and pollen tubes in detail.

• Plant Gene Expression Network Modeling

Transcription factors and signaling pathways: Reconstruct the gene regulatory network of plants in response to environmental stimuli and reveal key regulatory mechanisms.

Gene mutation simulation: Predict the effects of gene editing (such as CRISPR technology) on plant growth, development and resistance.

• Plant ecological process modeling

Thermal management design: Study the effects of competition and synergy on plant community structure and function.

Plant-environment interaction: Explore the short-term and long-term effects of greenhouse gases, soil conditions and climate change on plants.

• Complex system simulation

Multi-factor coupling simulation: Incorporate multiple factors such as light, water, nutrition and environmental stress into the model at the same time to study their synergistic or mutual inhibition.

Plant-microorganism symbiotic system: Simulate the enhancing effects of microorganisms such as rhizobia and mycorrhizal fungi on plant health and growth.

Advantages

Results Delivery

At CD Biomodeling, we are committed to providing high-quality plant bioprocess modeling and simulation services to our customers. The deliverables for each project are tailored to the specific needs of our customers. Below is an overview of typical deliverables.

1. Simulation Model and Results

• Model Structure & Assumptions: Outline the model assumptions and structure, including descriptions of key parameters for plant growth, photosynthesis, nutrient absorption, and stress response.
• Simulation Results: Present the key simulation results with quantitative analysis on plant growth, photosynthesis, nutrient absorption, root development, and resistance enhancement.
• Result Visualization: Provide charts and 3D models to illustrate plant growth and physiological changes, such as plant morphology, energy flow in photosynthesis, and nutrient flow paths.

2. Model Validation & Sensitivity Analysis

• Model Validation: Compare simulation results with experimental data (if available) to evaluate model accuracy.
• Sensitivity Analysis: Identify the most influential factors (e.g., light, temperature, moisture, soil type) by performing sensitivity analysis on key parameters.

3. Data Analysis & Statistics

• Data Export: Export detailed simulation data, including numerical values, charts, and statistical results, in various formats for further analysis.
• Statistical Analysis: Analyze data to uncover trends and patterns in plant biological processes for better decision-making.

4. Project Documentation & Technical Report

• Technical Report: Provide a comprehensive report detailing the modeling process, assumptions, results analysis, optimization recommendations, and future research directions.
• User Manual: If applicable, provide a user manual to help clients understand how to operate and modify the model according to their specific needs.

Through advanced modeling techniques and simulation tools, CD Biomodeling is committed to helping you deeply explore the complex dynamics of plant biological processes and solve key problems in research and application. Whether you are focusing on basic research, agricultural production optimization, or ecosystem protection, we can provide you with precise data support and scientific insights. If you would like to learn more about the service details or get technical support, please feel free to contact us.

For Research Use Only!

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