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Economic Analysis of Segmented Soil Salinity Management Using Current Irrigation Technology

Author

Listed:
  • Nicolette Matthews

    (Department of Agricultural Economics, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa)

  • Bennie Grové

    (Department of Agricultural Economics, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa)

  • Johannes Hendrikus Barnard

    (Department of Soil, Crop and Climate Sciences, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa)

Abstract

Due to significant initial investments, adopting complex reactive irrigation technologies to manage salinity can be financially risky for farmers. This paper explores using existing irrigation systems to manage salinity by adjusting irrigation timing and amounts to manage salt and water stress. An integrated bioeconomic model, combining a crop model and an economic model, was developed to simulate the impact of irrigation decisions on crop yield and profitability. This paper used secondary data to develop the case study used in the analysis. The results indicated that the margin above specified costs for a segmented irrigation approach was consistently higher than for the uniform approach. The economic benefit varied depending on the soil salinity category that made up the uniform approach, with a maximum potential benefit of 161 ZAR/ha. Increasing irrigation in high-salinity zones to dilute salts enhanced crop yields through improved osmotic and matric potentials, leading to higher total soil water potential. Interestingly, despite higher irrigation applications, there was minimal leaching of salts. The conclusion is that farmers can effectively manage salt and water stress using their current irrigation technology, avoiding costly reactive technologies. Adjusting irrigation timing and amounts offers a viable, cost-effective solution for managing salinity and optimising crop yields.

Suggested Citation

  • Nicolette Matthews & Bennie Grové & Johannes Hendrikus Barnard, 2025. "Economic Analysis of Segmented Soil Salinity Management Using Current Irrigation Technology," Agriculture, MDPI, vol. 15(8), pages 1-14, April.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:8:p:850-:d:1634961
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    References listed on IDEAS

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    1. Wichelns, Dennis & Qadir, Manzoor, 2015. "Achieving sustainable irrigation requires effective management of salts, soil salinity, and shallow groundwater," Agricultural Water Management, Elsevier, vol. 157(C), pages 31-38.
    2. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    3. Margherita Masi & Jorgelina Di Pasquale & Yari Vecchio & Fabian Capitanio, 2023. "Precision Farming: Barriers of Variable Rate Technology Adoption in Italy," Land, MDPI, vol. 12(5), pages 1-16, May.
    4. Barnard, J.H. & Bennie, A.T.P. & van Rensburg, L.D. & Preez, C.C. du, 2015. "SWAMP: A soil layer water supply model for simulating macroscopic crop water uptake under osmotic stress," Agricultural Water Management, Elsevier, vol. 148(C), pages 150-163.
    5. Barnard, J.H. & van Rensburg, L.D. & Bennie, A.T.P. & du Preez, C.C., 2013. "Simulating water uptake of irrigated field crops from non-saline water table soils: Validation and application of the model SWAMP," Agricultural Water Management, Elsevier, vol. 126(C), pages 19-32.
    6. Galioto, Francesco & Chatzinikolaou, Parthena & Raggi, Meri & Viaggi, Davide, 2020. "The value of information for the management of water resources in agriculture: Assessing the economic viability of new methods to schedule irrigation," Agricultural Water Management, Elsevier, vol. 227(C).
    7. Lahiri, Radhika & Ding, Juhong & Chinzara, Zivanemoyo, 2018. "Technology adoption, adaptation and growth," Economic Modelling, Elsevier, vol. 70(C), pages 469-483.
    8. Liu, Lining & Zuo, Qiang & Shi, Jianchu & Wu, Xun & Wei, Congmin & Sheng, Jiandong & Jiang, Pingan & Chen, Quanjia & Ben-Gal, Alon, 2023. "Balancing economic benefits and environmental repercussions based on smart irrigation by regulating root zone water and salinity dynamics," Agricultural Water Management, Elsevier, vol. 285(C).
    9. Tenreiro, Tomás R. & García-Vila, Margarita & Gómez, José A. & Jimenez-Berni, José A. & Fereres, Elías, 2020. "Water modelling approaches and opportunities to simulate spatial water variations at crop field level," Agricultural Water Management, Elsevier, vol. 240(C).
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