Sensitivity analysis of the AquaCrop model under salinity and water stress in tape drip irrigation in quinoa plant

Document Type : Complete scientific research article

Authors

1 Ph.D. Student of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran

2 Corresponding Author, Associate Prof., Dept. of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran

3 Associate Prof., Dept. of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran.

4 Assistant Prof., Dept. of Water Engineering, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Iran

Abstract

Background and purpose: Today, plant models are a suitable tool for simulating important agricultural parameters. Simulation models of plant performance have gained great importance in the last decade as a tool for water management in the farm and optimization of water productivity. Considering the existence of environmental stresses in each region, plant models should be evaluated and investigated. The AquaCrop model is one of the plant models presented by the Agricultural Food Organization to simulate the performance of crops under different environmental conditions.
Sensitivity analysis is considered as the basic step before evaluating the AquaCrop model, which has a great effect on improving the speed and accuracy of the calibration and validation stages. Therefore, it is very important to find sensitive and non-sensitive parameters at this stage for the crops available in the AquaCrop database.
Materials and methods: The present study was conducted with the aim of analyzing the sensitivity of this plant model in a research farm located in Baghmelk city, in the east of Khuzestan province, at the longitude of 49 degrees and 51 minutes east and latitude of 31 degrees and 41 minutes north in the crop year of 1402-1401. In this research, the quinoa plant was grown under drip irrigation and pulsed. In this research, the quinoa plant was grown under drip irrigation and pulsed.The researched treatments included the amount of irrigation water (I1: 60, I2: 80 and I3: 100 percent of field capacity) and water salinity (F: 0.5 and S: 6 dS.m-1). Next, the sensitivity of this plant model to changes in plant growth parameters including normalized water productivity (WP*), maximum plant transpiration coefficient (KCTrx), primary vegetation cover (CC0), vegetation growth coefficient (CGC), vegetation reduction coefficient (CDC) and harvest index (HI) were evaluated by Beven (1979) method.
Findings:The results showed that the AquaCrop was the most sensitive to changes in the WP* (with an average sensitivity coefficient of 0.82). Then, the highest sensitivity to KCTrx, HI and CGC was obtained with average sensitivity coefficients of 0.72, 0.68 and 0.38, respectively. The lowest sensitivity was determined with average sensitivity coefficients of 0.02 and 0.05, respectively, with respect to CCo and CDC parameters. Changes in quinoa biomass were inverse to the CDC values and direct to the values of other crop parameters. The increase in salinity and water stress increased the sensitivity of the AquaCrop results to changes in WP*, KCTrx, HI and CGC.
Conclusion:As a result, it is suggested to evaluate only these four crop parameters in the calibration stage and if there are water and salinity stress; calibration of parameters should also be done under these conditions.

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References

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Journal of Water and Soil Conservation
Volume 32, Issue 2
September 2025
Pages 99-120

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