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Predicting soil and plant water status dynamic in olive orchards under different irrigation systems with Hydrus-2D: Model performance and scenario analysis

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  • Autovino, Dario
  • Rallo, Giovanni
  • Provenzano, Giuseppe

Abstract

The paper analyzes the performance of Hydrus-2D model to simulate the dynamic of soil water contents and transpiration fluxes in an olive orchard in which two different irrigation systems were used in 2011 and 2012. The relationship between measured midday stem water potential, MSWP, and simulated relative transpiration (ratio between simulated actual and maximum crop transpiration), Ks, was also identified with the aim to use the model for crop water status predictions. Finally, a scenario analysis was carried out for irrigation management purposes, by considering the level of crop water stress achieved in the different phases of the vegetative growth. The results evidenced that active roots (d < 2.0 mm) are mainly localized along the tree row where is installed the drip irrigation pipe, with concentrations that tended to decrease at increasing depth and with the distance from the plant row. Moreover, Hydrus-2D model is generally able to reproduce the trends of measured soil water contents at different distances and depths from the plant row with RMSE equal to 0.04 cm3 cm−3 in 2011 and 0.09 cm3 cm−3 in 2012, because of the inadequate schematization of the root system, that could have changed according to the different irrigation system. Moreover, the model was also suitable to estimate actual transpiration with RMSE values, in the two years, of 0.09 and 0.05 mm. It was also observed that measured MSWPs are linearly correlated to the ratio between actual and maximum transpiration; under the examined conditions in fact, reductions of MSWP from −1.5 MPa to −3.1 MPa determined a decline of actual transpiration from about 86% to 50% of maximum. Finally, the performed scenario analysis evidenced the potential of the model to identify crop water status during the different stages of crop growth, that can be used to identify irrigation strategies aimed to cope with water scarcity.

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  • Autovino, Dario & Rallo, Giovanni & Provenzano, Giuseppe, 2018. "Predicting soil and plant water status dynamic in olive orchards under different irrigation systems with Hydrus-2D: Model performance and scenario analysis," Agricultural Water Management, Elsevier, vol. 203(C), pages 225-235.
    • Handle: RePEc:eee:agiwat:v:203:y:2018:i:c:p:225-235
    DOI: 10.1016/j.agwat.2018.03.015
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    1. Egea, Gregorio & Diaz-Espejo, Antonio & Fernández, José E., 2016. "Soil moisture dynamics in a hedgerow olive orchard under well-watered and deficit irrigation regimes: Assessment, prediction and scenario analysis," Agricultural Water Management, Elsevier, vol. 164(P2), pages 197-211.
    2. Minacapilli, M. & Cammalleri, C. & Ciraolo, G. & Rallo, G. & Provenzano, G., 2016. "Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves," Agricultural Water Management, Elsevier, vol. 170(C), pages 49-60.
    3. Phogat, V. & Skewes, Mark A. & Mahadevan, M. & Cox, J.W., 2013. "Evaluation of soil plant system response to pulsed drip irrigation of an almond tree under sustained stress conditions," Agricultural Water Management, Elsevier, vol. 118(C), pages 1-11.
    4. Rallo, Giovanni & González-Altozano, Pablo & Manzano-Juárez, Juan & Provenzano, Giuseppe, 2017. "Using field measurements and FAO-56 model to assess the eco-physiological response of citrus orchards under regulated deficit irrigation," Agricultural Water Management, Elsevier, vol. 180(PA), pages 136-147.
    5. Cammalleri, C. & Rallo, G. & Agnese, C. & Ciraolo, G. & Minacapilli, M. & Provenzano, G., 2013. "Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 120(C), pages 89-97.
    6. Corell, M. & Pérez-López, D. & Martín-Palomo, M.J. & Centeno, A. & Girón, I. & Galindo, A. & Moreno, M.M. & Moreno, C. & Memmi, H. & Torrecillas, A. & Moreno, F. & Moriana, A., 2016. "Comparison of the water potential baseline in different locations. Usefulness for irrigation scheduling of olive orchards," Agricultural Water Management, Elsevier, vol. 177(C), pages 308-316.
    7. Mailhol, Jean Claude & Ruelle, Pierre & Walser, Sabine & Schütze, Niels & Dejean, Cyril, 2011. "Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D," Agricultural Water Management, Elsevier, vol. 98(6), pages 1033-1044, April.
    8. Rallo, Giovanni & Provenzano, Giuseppe, 2013. "Modelling eco-physiological response of table olive trees (Olea europaea L.) to soil water deficit conditions," Agricultural Water Management, Elsevier, vol. 120(C), pages 79-88.
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    12. Yunquan Zhang & Peiling Yang, 2023. "A Simulation-Based Optimization Model for Control of Soil Salinization in the Hetao Irrigation District, Northwest China," Sustainability, MDPI, vol. 15(5), pages 1-20, March.

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