Parameterization of the AquaCrop model for simulating table grapes growth and water productivity in an arid region of Mexico

S. Er-Raki, E. Bouras, J.C. Rodriguez, C.J. Watts, C. Lizarraga-Celaya and A. Chehbouni

Agricultural Water Management, 2021, vol. 245, issue C

Abstract: Currently, the AquaCrop model has been widely tested for many fruit/grain crops; root and tuber crops; leafy vegetables, or forage crops, but is restricted to annual herbaceous species, while deciduous crops have received less if no attention. In this context, this study aims to test for the first time the ability of the AquaCrop model to simulate canopy cover (CC), actual evapotranspiration (ETa), total soil water content (TWC), biomass (B) and fruit yield (FY) of table grapes vineyards (Vitis vinifera L., cvs. Perlette and Superior) at the Costa de Hermosillo, Sonora in Northwest Mexico. Observed weather and soil physical parameters, with measured crop parameters from an experiment conducted during 2005 were used to develop climate, soil and crop input files for AquaCrop and for calibrating the model. While collected data during the 2006 growing season were used to validate the model. The model adequately simulated CC, ETa and TWC during 2005 and 2006. The Root Mean Square Error (RMSE) between observed and measured CC, ETa and TWC were 5.18%, 0.46 mm/day and 10.11 mm during 2005, and 8.82%, 0.84 mm/day and 9.1 mm during 2006, respectively. The good accuracy of simulations of CC, ETa and TWC by the model have been confirmed by additional statistical parameters like the coefficient of determination (R2), The Mean Bias Error (MBE), the Willmott’s index of agreement (d) and the Nash–Sutcliffe Efficiency (NSE).

Keywords: AquaCrop; Evapotranspiration; Percolation; Tablegrapes (Vitisvinifera L., cvs. Perletteand Superior); Water productivity; Irrigation scheduling (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:245:y:2021:i:c:s0378377420321326

DOI: 10.1016/j.agwat.2020.106585

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