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Estimating irrigation duration for high performance furrow irrigation on cracking clay soils

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  • Smith, R.J.
  • Uddin, M.J.
  • Gillies, M.H.

Abstract

Selection of an appropriate combination of flow rate and time to cut-off is critical to the achievement of high performance furrow irrigation. For the cotton growing regions of Australia the ready availability of land and the relative scarcity of water impose a constraint not present in all surface irrigation areas. In this situation the objective is to improve water use efficiency by maximising application efficiency. In this paper, simulations employing this strategy and historical furrow irrigation data have shown that application efficiency increases with flow rate up to a point where no further increase in efficiency is possible. They have also shown that for any field there is a simple linear relationship between time to cut-off and the time for the advance to reach mid-way down the field. This relationship provides a simple and robust guide for the selection of time to cut-off that requires no knowledge of the flow rate or soil moisture deficit. Application of the relationship delivers a significant increase in efficiency over that resulting from usual grower practice.

Suggested Citation

  • Smith, R.J. & Uddin, M.J. & Gillies, M.H., 2018. "Estimating irrigation duration for high performance furrow irrigation on cracking clay soils," Agricultural Water Management, Elsevier, vol. 206(C), pages 78-85.
    • Handle: RePEc:eee:agiwat:v:206:y:2018:i:c:p:78-85
    DOI: 10.1016/j.agwat.2018.03.014
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    References listed on IDEAS

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    1. Smith, R.J. & Raine, S.R. & Minkevich, J., 2005. "Irrigation application efficiency and deep drainage potential under surface irrigated cotton," Agricultural Water Management, Elsevier, vol. 71(2), pages 117-130, February.
    2. Feyen, Jan & Zerihun, Dawit, 1999. "Assessment of the performance of border and furrow irrigation systems and the relationship between performance indicators and system variables," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 353-362, May.
    3. Bautista, E. & Clemmens, A.J. & Strelkoff, T.S. & Schlegel, J., 2009. "Modern analysis of surface irrigation systems with WinSRFR," Agricultural Water Management, Elsevier, vol. 96(7), pages 1146-1154, July.
    4. Koech, R.K. & Smith, R.J. & Gillies, M.H., 2014. "Evaluating the performance of a real-time optimisation system for furrow irrigation," Agricultural Water Management, Elsevier, vol. 142(C), pages 77-87.
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    Citations

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    Cited by:

    1. Pazouki, Ehsan, 2021. "A practical surface irrigation design based on fuzzy logic and meta-heuristic algorithms," Agricultural Water Management, Elsevier, vol. 256(C).
    2. Smith, RJ & Uddin, MJ, 2020. "Selection of flow rate and irrigation duration for high performance bay irrigation," Agricultural Water Management, Elsevier, vol. 228(C).
    3. Pazouki, Ehsan, 2023. "A smart surface irrigation design based on the topographical and geometrical shape characteristics of the land," Agricultural Water Management, Elsevier, vol. 275(C).
    4. Costabile, Pierfranco & Costanzo, Carmelina & Gangi, Fabiola & De Gaetani, Carlo Iapige & Rossi, Lorenzo & Gandolfi, Claudio & Masseroni, Daniele, 2023. "High-resolution 2D modelling for simulating and improving the management of border irrigation," Agricultural Water Management, Elsevier, vol. 275(C).
    5. Mazarei, Reza & Soltani Mohammadi, Amir & Ebrahimian, Hamed & Naseri, Abd Ali, 2021. "Temporal variability of infiltration and roughness coefficients and furrow irrigation performance under different inflow rates," Agricultural Water Management, Elsevier, vol. 245(C).
    6. Nie, Wei-Bo & Li, Yi-Bo & Zhang, Fan & Ma, Xiao-Yi, 2019. "Optimal discharge for closed-end border irrigation under soil infiltration variability," Agricultural Water Management, Elsevier, vol. 221(C), pages 58-65.
    7. Nie, Wei-Bo & Dong, Shu-Xin & Li, Yi-Bo & Ma, Xiao-Yi, 2021. "Optimization of the border size on the irrigation district scale – Example of the Hetao irrigation district," Agricultural Water Management, Elsevier, vol. 248(C).
    8. Ioannidou, Sotiroula C. & Litskas, Vassilis D. & Stavrinides, Menelaos C. & Vogiatzakis, Ioannis N., 2022. "Linking management practices and soil properties to Ecosystem Services in Mediterranean mixed orchards," Ecosystem Services, Elsevier, vol. 53(C).
    9. Mohamed Khaled Salahou & Xiyun Jiao & Haishen Lü & Weihua Guo, 2020. "An improved approach to estimating the infiltration characteristics in surface irrigation systems," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    10. Pazouki, Ehsan, 2021. "A practical surface irrigation system design based on volume balance model and multi-objective evolutionary optimization algorithms," Agricultural Water Management, Elsevier, vol. 248(C).
    11. Mehri, Akbar & Mohammadi, Amir Soltani & Ebrahimian, Hamed & Boroomandnasab, Saeid, 2023. "Evaluation and optimization of surge and alternate furrow irrigation performance in maize fields using the WinSRFR software," Agricultural Water Management, Elsevier, vol. 276(C).

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