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Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D

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  • Mailhol, Jean Claude
  • Ruelle, Pierre
  • Walser, Sabine
  • Schütze, Niels
  • Dejean, Cyril

Abstract

Innovative irrigation solutions have to face water scarcity problems affecting the Mediterranean countries. Generally, surface (DI) or subsurface drip irrigation systems (SDI) have the ability to increase water productivity (WP). But the question about their possible utilisation for crops such as corn would merit to be analysed using an appropriate economic tool. The latter would be necessary based on the utilisation of a modelling approach to identify the optimal irrigation strategy associating a water amount with a crop yield (Yc). In this perspective, a possible utilisation of the operative 1D crop model PILOTE for simulating actual evapotranspiration (AET) and yield under a 2D soil water transfer process characterizing DI and SDI was analysed. In this study, limited to a loamy soil cultivated with corn, the pertinence of the root water uptake model used in the numerical code Hydrus-2D for AET estimations of actual evapotranspiration (AET) under water stress conditions is discussed throughout the Yc = F(AET) relationship established by PILOTE on the basis of validated simulations. The conclusions of this work are (i): with slight adaptations, PILOTE can provide reliable WP estimations associated to irrigation strategies under DI and SDI, (ii): the current Hydrus-2D version used in this study underestimates AET, compared with PILOTE, in a range varying from 7% under moderate water stress conditions to 14% under severe ones, (iii): A lateral spacing of 1.6 m for the irrigation of corn with a SDI system is an appropriate solution on a loamy soil under a Mediterranean climate. A local Yc = F(AET) relationship associated with a Hydrus-2D version taking into account the compensating root uptake process could result in an interesting tool to help identify the optimal irrigation system design under different soil conditions.

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  • Mailhol, Jean Claude & Ruelle, Pierre & Walser, Sabine & Schütze, Niels & Dejean, Cyril, 2011. "Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D," Agricultural Water Management, Elsevier, vol. 98(6), pages 1033-1044, April.
    • Handle: RePEc:eee:agiwat:v:98:y:2011:i:6:p:1033-1044
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    6. Mubarak, Ibrahim & Mailhol, Jean Claude & Angulo-Jaramillo, Rafael & Bouarfa, Sami & Ruelle, Pierre, 2009. "Effect of temporal variability in soil hydraulic properties on simulated water transfer under high-frequency drip irrigation," Agricultural Water Management, Elsevier, vol. 96(11), pages 1547-1559, November.
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    3. M.R. Khaledian & J.C. Mailhol & P. Ruelle & C. Dejean, 2013. "Effect of cropping strategies on the irrigation water productivity of durum wheat," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 59(1), pages 29-36.
    4. Mailhol, J.-C. & Albasha, R. & Cheviron, B. & Lopez, J.-M. & Ruelle, P. & Dejean, C., 2018. "The PILOTE-N model for improving water and nitrogen management practices: Application in a Mediterranean context," Agricultural Water Management, Elsevier, vol. 204(C), pages 162-179.
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    6. He, Qinsi & Li, Sien & Kang, Shaozhong & Yang, Hanbo & Qin, Shujing, 2018. "Simulation of water balance in a maize field under film-mulching drip irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 252-260.
    7. Elamri, Y. & Cheviron, B. & Lopez, J.-M. & Dejean, C. & Belaud, G., 2018. "Water budget and crop modelling for agrivoltaic systems: Application to irrigated lettuces," Agricultural Water Management, Elsevier, vol. 208(C), pages 440-453.
    8. Albasha, Rami & Mailhol, Jean-Claude & Cheviron, Bruno, 2015. "Compensatory uptake functions in empirical macroscopic root water uptake models – Experimental and numerical analysis," Agricultural Water Management, Elsevier, vol. 155(C), pages 22-39.
    9. Sebastian Kloss & Raji Pushpalatha & Kefasi Kamoyo & Niels Schütze, 2012. "Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 997-1014, March.
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    11. Julia de Frutos Cachorro & Katrin Erdlenbruch & Mabel Tidball, 2017. "A dynamic model of irrigation and land-use choice: application to the Beauce aquifer in France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(1), pages 99-120.
    12. Nayebloie, Fatemeh & Kouchakzadeh, Mahdi & Ebrahimi, Kumars & Homaee, Mahdi & Abbasi, Fariborz, 2022. "Improving fertigation efficiency by numerical modelling in a lettuce subsurface drip irrigation farm," Agricultural Water Management, Elsevier, vol. 270(C).
    13. Zahra Jafari & Sayed Hamid Matinkhah & Mohammad Reza Mosaddeghi, 2022. "Wetting Patterns in a Subsurface Irrigation System Using Reservoirs of Different Permeabilities: Experimental and HYDRUS-2D/3D Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5335-5352, November.
    14. Hamze, Mohamad & Cheviron, Bruno & Baghdadi, Nicolas & Lo, Madiop & Courault, Dominique & Zribi, Mehrez, 2023. "Detection of irrigation dates and amounts on maize plots from the integration of Sentinel-2 derived Leaf Area Index values in the Optirrig crop model," Agricultural Water Management, Elsevier, vol. 283(C).
    15. Haddon, Antoine & Kechichian, Loïc & Harmand, Jérôme & Dejean, Cyril & Ait-Mouheb, Nassim, 2023. "Linking soil moisture sensors and crop models for irrigation management," Ecological Modelling, Elsevier, vol. 484(C).

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