IDEAS home Printed from https://ideas.repec.org/a/caa/jnlswr/v10y2015i3id189-2014-swr.html
   My bibliography  Save this article

Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module

Author

Listed:
  • Monika MARKOVIĆ

    (Faculty of Agriculture, University of J.J. Strossmayer in Osijek, Osijek, Republic of Croatia)

  • Vilim FILIPOVIĆ

    (Department of Soil Amelioration, Faculty of Agriculture, University of Zagreb, Zagreb, Republic of Croatia)

  • Tarzan LEGOVIĆ

    (Ruđer Bošković Institute, Zagreb, Republic of Croatia)

  • Marko JOSIPOVIĆ

    (Agricultural Institute in Osijek, Osijek, Republic of Croatia$2)

  • Vjekoslav TADIĆ

    (Faculty of Agriculture, University of J.J. Strossmayer in Osijek, Osijek, Republic of Croatia)

Abstract

Irrigation efficiency improvement requires optimization of its parameters like irrigation scheduling, threshold and amount of water usage. If these parameters are not satisfactorily optimized, negative consequences for the plant-soil system can occur with decreased yield and hence economic viability of the agricultural production. Numerical modelling represents an efficient, i.e. simple and fast method for optimizing and testing different irrigation scenarios. In this study HYDRUS-1D model assuming single- and dual-porosity systems was used to evaluate a triggered irrigation module for irrigation scheduling in maize/soybean cropping trials. Irrigation treatment consisted of two irrigation regimes (A2 = 60-100% field capacity (FC) and A3 = 80-100% FC) and control plot (A1) without irrigation. The model showed a very good fit to the measured data with satisfactory model efficiency values of 0.77, 0.69, and 0.93 (single-porosity model) and 0.84, 0.67, and 0.92 (dual-porosity model) for A1, A2, and A3 plots, respectively. The single-porosity model gave a slightly better fit in the irrigated plots while the dual-porosity model gave better performance in the control plot. This inconsistency between the two approaches is due to the manual irrigation triggering and uncertainty in field data timing collection. Using the triggered irrigation module provided more irrigation events during maize and soybean crop rotation and consequently increased cumulative amounts of irrigated water. However, that increase resulted in more water available in the root zone during high evapotranspiration period. The HYDRUS code can be used to optimize irrigation threshold values further by assuming different scenarios (e.g. different irrigation threshold or scheduling) or a different crop.

Suggested Citation

  • Monika MARKOVIĆ & Vilim FILIPOVIĆ & Tarzan LEGOVIĆ & Marko JOSIPOVIĆ & Vjekoslav TADIĆ, 2015. "Evaluation of different soil water potential by field capacity threshold in combination with a triggered irrigation module," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(3), pages 164-171.
    • Handle: RePEc:caa:jnlswr:v:10:y:2015:i:3:id:189-2014-swr
    DOI: 10.17221/189/2014-SWR
    as

    Download full text from publisher

    File URL: http://swr.agriculturejournals.cz/doi/10.17221/189/2014-SWR.html
    Download Restriction: free of charge
    File URL: http://swr.agriculturejournals.cz/doi/10.17221/189/2014-SWR.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.17221/189/2014-SWR?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Radka Kodešová & Lukáš Brodský, 2006. "Comparison of CGMS-WOFOST and HYDRUS-1D Simulation Results for One Cell of CGMS-GRID50," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 1(2), pages 39-48.
    3. George, B. A. & Shende, S. A. & Raghuwanshi, N. S., 2000. "Development and testing of an irrigation scheduling model," Agricultural Water Management, Elsevier, vol. 46(2), pages 121-136, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michal KRIŠKA & Miroslava NĚMCOVÁ & Eva HYÁNKOVÁ, 2018. "The influence of ammonia on groundwater quality during wastewater irrigation," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 13(3), pages 161-169.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarr, Benoit & Lecoeur, Jeremie & Clouvel, Pascal, 2004. "Irrigation scheduling of confectionery groundnut (Arachis hypogeaea L.) in Senegal using a simple water balance model," Agricultural Water Management, Elsevier, vol. 67(3), pages 201-220, July.
    2. Mandal, Uttam Kumar & Victor, U.S. & Srivastava, N.N. & Sharma, K.L. & Ramesh, V. & Vanaja, M. & Korwar, G.R. & Ramakrishna, Y.S., 2007. "Estimating yield of sorghum using root zone water balance model and spectral characteristics of crop in a dryland Alfisol," Agricultural Water Management, Elsevier, vol. 87(3), pages 315-327, February.
    3. Fan, Yubing & McCann, Laura M., 2017. "Farmers’ Adoption of Pressure Irrigation Systems and Scientific Scheduling Practices: An Application of Multilevel Models," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258458, Agricultural and Applied Economics Association.
    4. Panigrahi, B. & Panda, Sudhindra N., 2003. "Field test of a soil water balance simulation model," Agricultural Water Management, Elsevier, vol. 58(3), pages 223-240, February.
    5. Satti, Sudheer R. & Jacobs, Jennifer M., 2004. "A GIS-based model to estimate the regionally distributed drought water demand," Agricultural Water Management, Elsevier, vol. 66(1), pages 1-13, April.
    6. Karandish, Fatemeh & Šimůnek, Jiří, 2016. "A field-modeling study for assessing temporal variations of soil-water-crop interactions under water-saving irrigation strategies," Agricultural Water Management, Elsevier, vol. 178(C), pages 291-303.
    7. M. Rowshon & M. Amin & T. Lee & A. Shariff, 2009. "GIS-Integrated Rice Irrigation Management Information System for a River-Fed Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 2841-2866, November.
    8. Gloaguen, Romain M. & Rowland, Diane L. & Brym, Zachary T. & Wilson, Chris. H. & Chun, Hyen Chung & Langham, Ray, 2021. "A METHOD FOR DEVELOPING IRRIGATION DECISION SUPPORT SYSTEMS de novo: EXAMPLE OF SESAME (Sesamum indicum L.) A KNOWN DROUGHT TOLERANT SPECIES," Agricultural Water Management, Elsevier, vol. 243(C).
    9. Barakat, Mohammad & Cheviron, Bruno & Angulo-Jaramillo, Rafael, 2016. "Influence of the irrigation technique and strategies on the nitrogen cycle and budget: A review," Agricultural Water Management, Elsevier, vol. 178(C), pages 225-238.
    10. Karandish, Fatemeh & Šimůnek, Jiří, 2019. "A comparison of the HYDRUS (2D/3D) and SALTMED models to investigate the influence of various water-saving irrigation strategies on the maize water footprint," Agricultural Water Management, Elsevier, vol. 213(C), pages 809-820.
    11. George, Biju A. & Raghuwanshi, N. S. & Singh, R., 2004. "Development and testing of a GIS integrated irrigation scheduling model," Agricultural Water Management, Elsevier, vol. 66(3), pages 221-237, May.
    12. Shang, Songhao & Li, Xichun & Mao, Xiaomin & Lei, Zhidong, 2004. "Simulation of water dynamics and irrigation scheduling for winter wheat and maize in seasonal frost areas," Agricultural Water Management, Elsevier, vol. 68(2), pages 117-133, August.
    13. Tadayonnejad, M. & Mosaddeghi, M.R. & Dashtaki, Sh. Ghorbani, 2017. "Changing soil hydraulic properties and water repellency in a pomegranate orchard irrigated with saline water by applying polyacrylamide," Agricultural Water Management, Elsevier, vol. 188(C), pages 12-20.
    14. Shang, Songhao & Mao, Xiaomin, 2006. "Application of a simulation based optimization model for winter wheat irrigation scheduling in North China," Agricultural Water Management, Elsevier, vol. 85(3), pages 314-322, October.
    15. 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.
    16. Stamatios Elmaloglou & Konstantinos Soulis & Nicholas Dercas, 2013. "Simulation of Soil Water Dynamics Under Surface Drip Irrigation from Equidistant Line Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4131-4148, September.
    17. Karandish, Fatemeh & Šimůnek, Jiří, 2018. "An application of the water footprint assessment to optimize production of crops irrigated with saline water: A scenario assessment with HYDRUS," Agricultural Water Management, Elsevier, vol. 208(C), pages 67-82.
    18. Prashant K. Srivastava, 2017. "Satellite Soil Moisture: Review of Theory and Applications in Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3161-3176, August.
    19. Karandish, Fatemeh & Šimůnek, Jiří, 2017. "Two-dimensional modeling of nitrogen and water dynamics for various N-managed water-saving irrigation strategies using HYDRUS," Agricultural Water Management, Elsevier, vol. 193(C), pages 174-190.
    20. Hasnain, Saquibul & Singh, Ajai, 2022. "Development of Electronic Wetting Front Detector for irrigation scheduling," Agricultural Water Management, Elsevier, vol. 274(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlswr:v:10:y:2015:i:3:id:189-2014-swr. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.