Parameterization of the AquaCrop model for cowpea and assessing the impact of sowing dates normally used on yield

The AquaCrop model was evaluated considering a data set from a cowpea (BR3-Tracuateua cultivar) cultivation in Castanhal/Brazil under different irrigations during the reproductive phase, which is sensitive to water deficit. Data on leaf area index (LAI), soil water content (SWC), biomass, and final...

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Bibliographic Details
Published in:	Agricultural water management Vol. 252; p. 106880
Main Authors:	Nunes, H.G.G.C., Farias, V.D.S., Sousa, D.P., Costa, D.L.P., Pinto, J.V.N., Moura, V.B., Teixeira, E.O., Lima, M.J.A., Ortega-Farias, S., Souza, P.J.O.P.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 30-06-2021
Subjects:	Agricultural modeling Crop yield Drip irrigation Vigna unguicula L. Walp Water-use efficiency Drip irrigation Water-use efficiency Vigna unguicula L. Walp Crop yield Agricultural modeling
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Summary:	The AquaCrop model was evaluated considering a data set from a cowpea (BR3-Tracuateua cultivar) cultivation in Castanhal/Brazil under different irrigations during the reproductive phase, which is sensitive to water deficit. Data on leaf area index (LAI), soil water content (SWC), biomass, and final yield of two harvests were used for model calibration (2013) and validation (2014). LAI data were used for parameterization of canopy cover (CC), and some crop parameters obtained in the field. The model was also used to evaluate the impacts of sowing dates, as well as the strategy of using an economical irrigation threshold (60% of Readily Available Water) on the water use and crop yield. Regarding the results after parameterization of the canopy cover curve, the model efficiency index (EF) presented a satisfactory performance (0.98), which is due to the high correlation coefficient (R2 = 0.99) between the simulated and observed values and the low values of normalized root mean square error (NRMSE < 6.33%). For model performance in simulating SWC, there was high efficiency (EF > 0.70) for all treatments, with low estimated errors and NRMSE representing 8.12% of mean SWC observations during validation, indicating high precision for simulation of biomass and cowpea yield. The model performance index ranged from 0.92 to 0.94 for biomass and from 0.92 to 0.99 for final yield. These results showed that AquaCrop is suitable for simulating biomass production and yield of cowpea. Additionally, sowing in early April is appropriate for better water use and productivity and the tested irrigation threshold can be indicated to significantly improve final crop yields. •The cowpea, parameterized in AquaCrop, supports the choice of the best strategies.•Sowing earlier than usual is recommended, resulting in better water use efficiency.•Cowpea needs irrigation, even in sowing carried out in the rainy season.•Supplementary irrigation increases the final cowpea yield.
ISSN:	0378-3774 1873-2283
DOI:	10.1016/j.agwat.2021.106880