Simulating Cotton Growth and Productivity Using AquaCrop Model under Deficit Irrigation in a Semi-Arid Climate

Marjan Aziz, Sultan Ahmad Rizvi, Muhammad Sultan, Muhammad Sultan Ali Bazmi, Redmond R. Shamshiri, Sobhy M. Ibrahim and Muhammad A. Imran
Additional contact information
Marjan Aziz: Department of Agricultural Engineering, Barani Agricultural Research Institute, Chakwal 48800, Pakistan
Sultan Ahmad Rizvi: Water Conservation Division, Soil and Water Conservation Research Institute, Chakwal 48800, Pakistan
Muhammad Sultan: Department of Agricultural Engineering, Bahauddin Zakariya University, Bosan Road, Multan 60800, Pakistan
Muhammad Sultan Ali Bazmi: Department of Agronomy, Fodder Research Institute, Sargodha 40100, Pakistan
Redmond R. Shamshiri: Department of Engineering for Crop Production, Leibniz Institute for Agricultural Engineering and Bioeconomy, 14469 Potsdam, Germany
Sobhy M. Ibrahim: Department of Biochemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
Muhammad A. Imran: School of Environmental and Municipal Engineering, Xi’an University of Architecture and Technology, Shaanxi, Xi’an 710055, China

Agriculture, 2022, vol. 12, issue 2, 1-18

Abstract: AquaCrop is a water-driven model that simulates the effect of environment and management on crop production under deficit irrigation. The model was calibrated and validated using three databases and four irrigation treatments (i.e., 100%ET, 80%ET, 70%ET, and 50%ET). Model performance was evaluated by simulating canopy cover (CC), biomass accumulation, and water productivity (WP). Statistics of root mean square error ( RMSE ) and Willmott’s index of agreement ( d ) showed that model predictions are suitable for non-stressed and moderate stressed conditions. The results showed that the simulated biomass and yield were consistent with the measured values with a coefficient of determination (R 2 ) of 0.976 and 0.950, respectively. RMSE and d-index values for canopy cover (CC) were 2.67% to 4.47% and 0.991% to 0.998% and for biomass were 0.088 to 0.666 ton/ha and 0.991 to 0.999 ton/ha, respectively. Prediction of simulated and measured biomass and final yield was acceptable with deviation ˂10%. The overall value of R 2 for WP in terms of yield was 0.943. Treatment with 80% ET consumed 20% less water than the treatment with 100%ET and resulted in high WP in terms of yield (0.6 kg/m 3 ) and biomass (1.74 kg/m 3 ), respectively. The deviations were in the range of −2% to 11% in yield and −2% to 4% in biomass. It was concluded that AquaCrop is a useful tool in predicting the productivity of cotton under different irrigation scenarios.

Keywords: AquaCrop model; canopy and biomass simulation; stressed irrigation; water use efficiencies; water production function (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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