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AquaCrop model simulation under different irrigation water and nitrogen strategies
Mojtaba Khoshravesh1, Behrouz Mostafazadeh-Fard, Manouchehr Heidarpour
1Water Engineering Department, College of Agriculture, Isfahan University of Technology, Isfahan 84156-83111, Iran. m.khoshravesh@ag.iut.ac.ir
Deficit irrigation strategies using the AquaCrop model can effectively manage soybean production, improving water use efficiency (WUE) while maintaining acceptable crop yields. This simulation tool aids in optimizing agricultural water management.
Area of Science:
- Agricultural Science
- Crop Modeling
- Water Resource Management
Background:
- Irrigated agriculture accounts for 72% of global freshwater use.
- Deficit irrigation offers a strategy to conserve water while ensuring crop production.
- The AquaCrop model provides a robust, data-efficient simulation tool for irrigation and nitrogen management.
Purpose of the Study:
- To simulate canopy cover, grain yield, and water use efficiency (WUE) for soybean using the AquaCrop model.
- To evaluate the model's accuracy under various deficit irrigation and nitrogen application scenarios.
- To assess the utility of AquaCrop for optimizing soybean water productivity.
Main Methods:
- Field experiments with a line source sprinkler system were conducted over two seasons.
- Soybean was subjected to full and deficit irrigation with varying nitrogen fertilizer rates.
- The AquaCrop model was employed to simulate key crop parameters.
Main Results:
- The AquaCrop model accurately predicted soybean yield, canopy cover, and WUE, with errors below 23%.
- Simulated canopy progression closely matched measured data, achieving a Willmott's index of agreement ≥0.95.
- The model demonstrated proficiency in simulating WUE under diverse irrigation and nitrogen conditions.
Conclusions:
- The AquaCrop model is a valuable tool for simulating soybean growth and water use efficiency.
- It provides reliable predictions for managing irrigation and nitrogen, enhancing crop water productivity.
- The model supports informed decision-making in agricultural water resource management.
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