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Effects of Biochar on Irrigation Management and Water Use Efficiency for Three Different Crops in a Desert Sandy Soil

Author

Listed:
  • Giorgio Baiamonte

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Bldg. 4, 90128 Palermo, Italy)

  • Mario Minacapilli

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Bldg. 4, 90128 Palermo, Italy)

  • Giuseppina Crescimanno

    (Department of Agricultural, Food and Forest Sciences (SAAF), University of Palermo, Viale delle Scienze, Bldg. 4, 90128 Palermo, Italy)

Abstract

This paper aimed at investigating if the application of biochar ( BC ) to desert sand ( DS ) from the United Arab Emirates (UAE), characterized by a very poor soil-water retention ( SWR ) and by a very low value of the maximum water available for crops ( AW max ), could positively affect soil water balance, by reducing the irrigation needs ( V IRR ) and improving the irrigation water use efficiency ( IWUE ) and the water use efficiency ( WUE ). The analysis was performed for three crops, i.e., wheat ( Triticum aestivum ), sorghum ( Sorghum vulgare ) and tomato ( Lycopersicon esculentum ). BC was applied to the DS at different fractions, f BC ( f BC = 0, 0.091, 0.23 and 0.33). Drip irrigation was adopted as a highly efficient water saving method, which is particularly relevant in arid, water-scarce countries. Soil water balance and irrigation scheduling were simulated by application of the AQUACROP model, using as input the SWR measured without and with BC addition. The effect of BC was investigated under either a no-water stress ( NWS ) condition for the crops or deficit irrigation ( DI ). The results showed that the application of BC made it possible to reduce the predicted V IRR and to increase the IWUE under the NWS scenario, especially for wheat and sorghum, with less evident benefits for tomato. When a deficit irrigation ( DI ) was considered, even at the lowest considered f BC (0.091), BC counterbalanced the lower V IRR provided under DI , thus mitigating the yield reduction due to water stress, and improved the WUE . The influence of BC was more pronounced in wheat and tomato than in sorghum. The results evidenced that the application of BC could be a potential strategy for saving irrigation water and/or reducing the effects of drought stress in desert sand. This means that biochar could be used a management option to promote local production and reduce the dependency on food import, not only in the UAE, but also in other countries with extremely arid climatic conditions and large extensions of sandy soils similar to the considered DS .

Suggested Citation

  • Giorgio Baiamonte & Mario Minacapilli & Giuseppina Crescimanno, 2020. "Effects of Biochar on Irrigation Management and Water Use Efficiency for Three Different Crops in a Desert Sandy Soil," Sustainability, MDPI, vol. 12(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7678-:d:414847
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    References listed on IDEAS

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    1. Baiamonte, Giorgio, 2018. "Advances in designing drip irrigation laterals," Agricultural Water Management, Elsevier, vol. 199(C), pages 157-174.
    2. Abedinpour, M. & Sarangi, A. & Rajput, T.B.S. & Singh, Man & Pathak, H. & Ahmad, T., 2012. "Performance evaluation of AquaCrop model for maize crop in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 110(C), pages 55-66.
    3. Montoya, F. & Camargo, D. & Ortega, J.F. & Córcoles, J.I. & Domínguez, A., 2016. "Evaluation of Aquacrop model for a potato crop under different irrigation conditions," Agricultural Water Management, Elsevier, vol. 164(P2), pages 267-280.
    4. Toumi, J. & Er-Raki, S. & Ezzahar, J. & Khabba, S. & Jarlan, L. & Chehbouni, A., 2016. "Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management," Agricultural Water Management, Elsevier, vol. 163(C), pages 219-235.
    5. Pereira, Luis Santos & Oweis, Theib & Zairi, Abdelaziz, 2002. "Irrigation management under water scarcity," Agricultural Water Management, Elsevier, vol. 57(3), pages 175-206, December.
    6. Droogers, P. & Bastiaanssen, W. G. M. & Beyazgul, M. & Kayam, Y. & Kite, G. W. & Murray-Rust, H., 2000. "Distributed agro-hydrological modeling of an irrigation system in western Turkey," Agricultural Water Management, Elsevier, vol. 43(2), pages 183-202, March.
    7. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    8. Liu, Y. & Pereira, L.S. & Fernando, R.M., 2006. "Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 27-40, July.
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