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Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models

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  • Doltra, J.
  • Muñoz, P.

Abstract

Two different modeling approaches were used to simulate the N leached during an intensively fertigated crop rotation: a recently developed crop-based simulation model (EU-Rotate_N) and a widely recognized solute transport model (Hydrus-2D). Model performance was evaluated using data from an experiment where four N fertigation levels were applied to a bell pepper-cauliflower-Swiss chard rotation in a sandy loam soil. All the input data were obtained from measurements, transfer functions or were included in the model databases. Model runs were without specific site calibration. The use of soil input parameters based on the same pedotransfer functions in both models resulted in a very similar simulation of soil water content in spite of the different nature of the approaches. Good correlations were found between the simulated water draining below 60cm and that calculated by water balance. Accuracy of the predicted nitrate nitrogen (NO3-N) contents in the 0-90cm soil profile was acceptable with both models, with values of the mean absolute error (MAE) below the average standard deviation of the observations. The uptake of nitrate was better simulated with EU-Rotate_N where specific crop N demand algorithms are involved. In the simulations with Hydrus-2D the evapotranspiration demand was a limiting factor for N uptake, resulting in an increasing underestimation of uptake with decreasing N fertilizer rates. Simulated N leaching below a depth of 60cm was higher with Hydrus-2D due to a higher nitrate concentration in percolated water. Comparison of the observed and predicted yield response to N applications with EU-Rotate_N demonstrated that the best fertigation strategy could be identified and the risk of nitrate leaching quantified with this model. The results showed that for a successful solving of the problem studied, Hydrus-2D probably would need a more complex calibration, and that the EU-Rotate_N model can provide acceptable predictions by adjusting basic parameters for the growing conditions. Further research with other crops and soil types will allow up-scaling the quantification of N leaching from a field level to regional and national levels, identifying best management strategies in relation to N use from an environmental and economic perspective.

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  • Doltra, J. & Muñoz, P., 2010. "Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models," Agricultural Water Management, Elsevier, vol. 97(2), pages 277-285, February.
  • Handle: RePEc:eee:agiwat:v:97:y:2010:i:2:p:277-285
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    2. Soto, F. & Thompson, R.B. & Granados, M.R. & Martínez-Gaitán, C. & Gallardo, M., 2018. "Simulation of agronomic and nitrate pollution related parameters in vegetable cropping sequences in Mediterranean greenhouses using the EU-Rotate_N model," Agricultural Water Management, Elsevier, vol. 199(C), pages 175-189.
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    6. Karandish, Fatemeh & Šimůnek, Jiří, 2017. "Two-dimensional modeling of nitrogen and water dynamics for various N-managed water-saving irrigation strategies using HYDRUS," Agricultural Water Management, Elsevier, vol. 193(C), pages 174-190.
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    13. Karandish, Fatemeh & Šimůnek, Jiří, 2018. "An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS," Agricultural Water Management, Elsevier, vol. 208(C), pages 67-82.
    14. Wang, Jun & Huang, Guanhua & Zhan, Hongbin & Mohanty, Binayak P. & Zheng, Jianhua & Huang, Quanzhong & Xu, Xu, 2014. "Evaluation of soil water dynamics and crop yield under furrow irrigation with a two-dimensional flow and crop growth coupled model," Agricultural Water Management, Elsevier, vol. 141(C), pages 10-22.
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    16. Grecco, Katarina L. & Miranda, Jarbas H. de & Silveira, Laís K. & van Genuchten, Martinus Th., 2019. "HYDRUS-2D simulations of water and potassium movement in drip irrigated tropical soil container cultivated with sugarcane," Agricultural Water Management, Elsevier, vol. 221(C), pages 334-347.
    17. Callau-Beyer, Ana Claudia & Mburu, Martin Mungai & Weßler, Caspar-Friedrich & Amer, Nasser & Corbel, Anne-Laure & Wittnebel, Mareille & Böttcher, Jürgen & Bachmann, Jörg & Stützel, Hartmut, 2024. "Effect of high frequency subsurface drip fertigation on plant growth and agronomic nitrogen use efficiency of red cabbage," Agricultural Water Management, Elsevier, vol. 297(C).
    18. Azad, Nasrin & Behmanesh, Javad & Rezaverdinejad, Vahid & Abbasi, Fariborz & Navabian, Maryam, 2018. "Developing an optimization model in drip fertigation management to consider environmental issues and supply plant requirements," Agricultural Water Management, Elsevier, vol. 208(C), pages 344-356.
    19. Amin, M.G. Mostofa & Šimůnek, Jirka & Lægdsmand, Mette, 2014. "Simulation of the redistribution and fate of contaminants from soil-injected animal slurry," Agricultural Water Management, Elsevier, vol. 131(C), pages 17-29.
    20. Tang, Ruoling & Supit, Iwan & Hutjes, Ronald & Zhang, Fen & Wang, Xiaozhong & Chen, Xuanjing & Zhang, Fusuo & Chen, Xinping, 2023. "Modelling growth of chili pepper (Capsicum annuum L.) with the WOFOST model," Agricultural Systems, Elsevier, vol. 209(C).
    21. Soto, F. & Gallardo, M. & Giménez, C. & Peña-Fleitas, T. & Thompson, R.B., 2014. "Simulation of tomato growth, water and N dynamics using the EU-Rotate_N model in Mediterranean greenhouses with drip irrigation and fertigation," Agricultural Water Management, Elsevier, vol. 132(C), pages 46-59.

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