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Influence of soil hydraulic variability on soil moisture simulations and irrigation scheduling in a maize field

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  • Feki, Mouna
  • Ravazzani, Giovanni
  • Ceppi, Alessandro
  • Mancini, Marco

Abstract

Hydrological models play a crucial role for their ability to simulate water movement from soil surface to groundwater and to predict onset of stress conditions within agricultural fields. However, optimal use of mathematical models requires intensive, time consuming and expensive collection of soil related parameters. Typically soils to be characterized exhibit large variations in space and time as well during the cropping cycle, due to biological processes and agricultural management practices: tillage, irrigation, fertilization and harvest. This paper investigates the variability of soil hydraulic properties over a cropping cycle between April and September 2015, within a surface irrigated maize field (6 ha) located in northern Italy.

Suggested Citation

  • Feki, Mouna & Ravazzani, Giovanni & Ceppi, Alessandro & Mancini, Marco, 2018. "Influence of soil hydraulic variability on soil moisture simulations and irrigation scheduling in a maize field," Agricultural Water Management, Elsevier, vol. 202(C), pages 183-194.
    • Handle: RePEc:eee:agiwat:v:202:y:2018:i:c:p:183-194
    DOI: 10.1016/j.agwat.2018.02.024
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    References listed on IDEAS

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    1. Levidow, Les & Zaccaria, Daniele & Maia, Rodrigo & Vivas, Eduardo & Todorovic, Mladen & Scardigno, Alessandra, 2014. "Improving water-efficient irrigation: Prospects and difficulties of innovative practices," Agricultural Water Management, Elsevier, vol. 146(C), pages 84-94.
    2. Xu, D. & Mermoud, A., 2003. "Modeling the soil water balance based on time-dependent hydraulic conductivity under different tillage practices," Agricultural Water Management, Elsevier, vol. 63(2), pages 139-151, December.
    3. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    4. Lozano, David & Mateos, Luciano, 2008. "Usefulness and limitations of decision support systems for improving irrigation scheme management," Agricultural Water Management, Elsevier, vol. 95(4), pages 409-418, April.
    5. Mun, S. & Sassenrath, G.F. & Schmidt, A.M. & Lee, N. & Wadsworth, M.C. & Rice, B. & Corbitt, J.Q. & Schneider, J.M. & Tagert, M.L. & Pote, J. & Prabhu, R., 2015. "Uncertainty analysis of an irrigation scheduling model for water management in crop production," Agricultural Water Management, Elsevier, vol. 155(C), pages 100-112.
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    Cited by:

    1. Saurabh Kumar & Richa Ojha, 2023. "Modeling Soil Hydraulic Properties Using Dynamic Variability of Soil Pore Size Distribution," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    2. Liu, Ziqi & Li, Kaiping & Xiong, Kangning & Li, Yuan & Wang, Jin & Sun, Jian & Cai, Lulu, 2021. "Effects of Zanthoxylum bungeanum planting on soil hydraulic properties and soil moisture in a karst area," Agricultural Water Management, Elsevier, vol. 257(C).
    3. Zhu, Pingzong & Zhang, Guanghui & Wang, Hongxiao & Zhang, Baojun & Liu, Yingna, 2021. "Soil moisture variations in response to precipitation properties and plant communities on steep gully slope on the Loess Plateau," Agricultural Water Management, Elsevier, vol. 256(C).

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