Amiri et al. (2025) Evaluation of CERES‐Maize Model for Predicting Yield, Evapotranspiration, Water Productivity and Drought Stress Indices Under Center Pivot, Subsurface Drip and Furrow Irrigation Systems With Different Irrigation Levels Simultaneously

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Identification

• Journal: Irrigation and Drainage
• Year: 2025
• Date: 2025-10-17
• Authors: Suat Irmak, Pooya Aalaee Bazkiaee
• DOI: 10.1002/ird.70050

Research Groups

[Not explicitly mentioned in the provided text.]

Short Summary

This study investigated the impact of various irrigation methods and levels on maize yield, evapotranspiration, water productivity, and drought stress indices using field data and the CERES-Maize model. It found that irrigation management significantly affected productivity variables, and the model showed good agreement with observed yield and evapotranspiration, despite systematically overestimating evapotranspiration.

Objective

• To investigate the effects of different irrigation methods (center pivot [CPI], subsurface drip [SDI], and furrow irrigation [FI]) and levels (full irrigation treatment [FIT], 80% FIT, 60% FIT, and rainfed) on maize yield, crop evapotranspiration (ETc), ET-water productivity (WP ET), and drought stress indices for leaf expansion (SIE) and photosynthesis (SIP).

Study Configuration

• Spatial Scale: Field-scale plots.
• Temporal Scale: Not explicitly mentioned, but implied to cover maize growing seasons.

Methodology and Data

• Models used: CERES-Maize model.
• Data sources: Field data (for calibration and validation).

Main Results

• Irrigation method and level had a significant effect (p < 0.05) on maize productivity variables.
• CERES-Maize Calibration:
  • Yield: Root Mean Square Error (RMSE) = 0.97 t/ha (Normalized RMSE [RMSEn] = 6.9%), R² = 0.99.
  • Crop Evapotranspiration (ETc): RMSE = 54.5 mm (RMSEn = 11.3%), R² = 0.96, with systematic overestimation.
  • ET-Water Productivity (WP ET): RMSEn = 8%, R² = 0.94.
• CERES-Maize Validation:
  • Yield: RMSE = 1.98 t/ha (RMSEn = 14.3%), R² = 0.91.
  • ETc: RMSE = 54.2 mm (RMSEn = 11.3%), R² = 0.68.
  • WP ET: RMSEn = 12%, R² = 0.65.
• Drought stress indices (SIE and SIP) were strongly (inversely) correlated with yield.

Contributions

• Provides a comprehensive field-based and modeling assessment of various irrigation methods and levels on multiple maize productivity and stress indicators.
• Calibrates and validates the CERES-Maize model under diverse irrigation scenarios, quantifying its accuracy and identifying its tendency to overestimate ETc.
• Demonstrates the significant impact of irrigation management on maize performance and the utility of drought stress indices in predicting yield.

Funding

[Not explicitly mentioned in the provided text.]

Citation

@article{Amiri2025Evaluation,
  author = {Amiri, Ebrahim and Irmak, Suat and Bazkiaee, Pooya Aalaee},
  title = {Evaluation of CERES‐Maize Model for Predicting Yield, Evapotranspiration, Water Productivity and Drought Stress Indices Under Center Pivot, Subsurface Drip and Furrow Irrigation Systems With Different Irrigation Levels Simultaneously},
  journal = {Irrigation and Drainage},
  year = {2025},
  doi = {10.1002/ird.70050},
  url = {https://doi.org/10.1002/ird.70050}
}