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Numerical modeling to optimize nitrogen fertigation with consideration of transient drought and nitrogen stress

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  • Groenveld, Thomas
  • Argaman, Amir
  • Šimůnek, Jiří
  • Lazarovitch, Naftali

Abstract

Optimization of nitrogen (N) fertigation is a formidable challenge involving complex interactions between water and N uptake and their effects on crop production. Numerical models can be useful in studying the interaction of multiple variables like those found in mechanistic simulations of N fertigation strategies. The physical aspects can often be accurately represented in soil-plant-atmosphere continuum models, while the biological factors lag due to their oversimplification. When optimizing N fertigation using numerical models, it is essential to consider the effects of N and water stresses on the plant size and corresponding feedback on potential transpiration and N uptake. The HYDRUS (2D/3D) model was modified to allow for active uptake and decay of multiple solutes and reduce potential transpiration due to a limitation in N uptake. Subsequently, we calibrated and validated the model with a dataset that consisted of 3 nitrate (NO3-) concentration and 6 irrigation levels: a total of 18 distinct treatments used to fertigate cucumber plants grown in lysimeters. The calibration was based on the treatment that received the highest N fertigation. The model was validated by testing its ability to accurately reduce potential N uptake and transpiration in water and N deficiency cases. Simulations showed that the N stress function could explain 82% of the reduction in transpiration measured in the experimental setup. The sensitivity analysis, evaluating the effects of the root shape and distribution parameters by increasing and decreasing their values by 20%, showed that these parameters had little impact on the results. Following its validation, the model was used to determine the optimal N concentration in irrigation water and the optimal N application amount to obtain maximal yield with minimal N loss. The optimal irrigation water NO3--N concentration and seasonal NO3--N application were determined to be 75 mg L−1 and 40 mg m−2, respectively.

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  • Groenveld, Thomas & Argaman, Amir & Šimůnek, Jiří & Lazarovitch, Naftali, 2021. "Numerical modeling to optimize nitrogen fertigation with consideration of transient drought and nitrogen stress," Agricultural Water Management, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:agiwat:v:254:y:2021:i:c:s0378377421002365
    DOI: 10.1016/j.agwat.2021.106971
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    References listed on IDEAS

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    1. Krevh, Vedran & Filipović, Lana & Petošić, Dragutin & Mustać, Ivan & Bogunović, Igor & Butorac, Jasminka & Kisić, Ivica & Defterdarović, Jasmina & Nakić, Zoran & Kovač, Zoran & Pereira, Paulo & He, Ha, 2023. "Long-term analysis of soil water regime and nitrate dynamics at agricultural experimental site: Field-scale monitoring and numerical modeling using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 275(C).
    2. Eva Hyánková & Michal Kriška Dunajský & Ondřej Zedník & Ondřej Chaloupka & Miroslava Pumprlová Němcová, 2021. "Irrigation with Treated Wastewater as an Alternative Nutrient Source (for Crop): Numerical Simulation," Agriculture, MDPI, vol. 11(10), pages 1-20, September.
    3. Chen, Ning & Li, Xianyue & Šimůnek, Jiří & Shi, Haibin & Zhang, Yuehong & Hu, Qi, 2022. "Quantifying inter-species nitrogen competition in the tomato-corn intercropping system with different spatial arrangements," Agricultural Systems, Elsevier, vol. 201(C).

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