What question did this study set out to answer?

The study aims to calibrate the SWAP model for predicting maize growth under Partial Root-Zone Drying irrigation.

February 27, 2026Water Practice & TechnologyOpen Access

Calibration and evaluation of SWAP model under PRD irrigation: a case study, Pakdasht, Iran

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This case study calibrates the SWAP model for maize under PRD irrigation, indicating its potential for yield prediction.

The study aims to calibrate the SWAP model for predicting maize growth under Partial Root-Zone Drying irrigation.
Calibrated the SWAP model under full irrigation conditions (100% water requirement).
Validated the model using deficit irrigation treatments (75% and 55% water requirements).
Assessed model performance based on plant height, leaf area index (LAI), and biomass yield.
The model showed high accuracy for LAI under full irrigation (R2 = 0.97).
Plant height predictions ranged from R2 = 0.88 to R2 = 0.99 across treatments.
Under full irrigation, biomass yield was predicted with R2 = 0.98, but accuracy dropped under deficit irrigation.

Behizadi et al. (2026) studied this question.

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