[Simulation alfalfa growth in Wulanbuhe sandy region]

Area of Science:

• Agricultural Science
• Plant Physiology
• Ecological Modeling

Background:

• Soil water stress significantly impacts crop yield in arid sandy regions.
• Understanding the physio-ecological characteristics of Medicago sativa is crucial for optimizing its growth.
• Existing models may not fully capture the complexities of alfalfa growth under water-limited conditions.

Purpose of the Study:

• To develop a simulation model for Medicago sativa growth under soil water stress in arid sandy environments.
• To integrate theories of accumulated temperature and plant characteristics into the model.
• To provide a predictive tool for alfalfa cultivation in challenging regions.

Main Methods:

• Developed a simulation model based on accumulated temperature and physio-ecological traits.
• The model incorporates four key modules: growth stage, leaf area index dynamics, dry matter accumulation, and dry matter distribution.
• Simulations and calculations were performed to validate model performance.

Main Results:

• The model successfully simulates and predicts the growing progress of alfalfa.
• Dynamic changes in leaf area and potential yield can be accurately forecasted.
• The model demonstrated effectiveness when applied to agricultural production scenarios.

Conclusions:

• The developed simulation model is a valuable tool for managing alfalfa cultivation in arid sandy areas.
• Accurate prediction of growth parameters aids in optimizing resource allocation and yield.
• The model's effectiveness suggests its utility for enhancing agricultural productivity under water stress.