IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v216y2019icp27-43.html
   My bibliography  Save this article

DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions

Author

Listed:
  • Malik, Wafa
  • Dechmi, Farida

Abstract

Water is considered the most critical resource for sustainable development in Spain. Crop models can enhance water efficiency, which provides an economic advantage while also reducing environmental burdens. The aim of this study was to calibrate and evaluate the Decision Support System for Agro-technology Transfer (DSSAT) model for the major crops grown in the fields of the La Violada Irrigation District (VID), Spain; additionally, this research sought to evaluate the current practices and to determine the best irrigation management practices under different soil types in the VID for each crop. Crop and soil type data from 54 plots of farmers’ fields were used for model calibration and evaluation during the 2015 and 2016 irrigation seasons. Two irrigation scenarios were applied in eight soil types in the VID based on the current irrigation applied by farmers and the optimum irrigation adjusted to crop requirement. The DSSAT model demonstrated good performance among maize, wheat, barley and sunflower crops. The evaluation of the current irrigation system showed that farmers were not managing their irrigation systems properly. The adjusted irrigation management application showed a potential reduction in the seasonal irrigation depth for maize-SS (short-season maize) (27%), maize-LS (long season maize) (18%) and sunflower (16%). In a broader context, optimum irrigation practices can reduce the amount of leached N and deep percolation losses by 31% (4.48 T) and 34% (1.2 hm3), respectively, considering the cultivated crop area in each soil type in the entire VID.

Suggested Citation

  • Malik, Wafa & Dechmi, Farida, 2019. "DSSAT modelling for best irrigation management practices assessment under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 216(C), pages 27-43.
    • Handle: RePEc:eee:agiwat:v:216:y:2019:i:c:p:27-43
    DOI: 10.1016/j.agwat.2019.01.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377418313659
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.01.017?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. Rinaldi, Michele & Losavio, Nicola & Flagella, Zina, 2003. "Evaluation and application of the OILCROP-SUN model for sunflower in southern Italy," Agricultural Systems, Elsevier, vol. 78(1), pages 17-30, October.
    2. Kadiyala, M.D.M. & Jones, J.W. & Mylavarapu, R.S. & Li, Y.C. & Reddy, M.D., 2015. "Identifying irrigation and nitrogen best management practices for aerobic rice–maize cropping system for semi-arid tropics using CERES-rice and maize models," Agricultural Water Management, Elsevier, vol. 149(C), pages 23-32.
    3. Isidoro, D. & Quilez, D. & Aragues, R., 2004. "Water balance and irrigation performance analysis: La Violada irrigation district (Spain) as a case study," Agricultural Water Management, Elsevier, vol. 64(2), pages 123-142, January.
    4. Jiménez-Aguirre, M.T. & Isidoro, D., 2018. "Hydrosaline Balance in and Nitrogen Loads from an irrigation district before and after modernization," Agricultural Water Management, Elsevier, vol. 208(C), pages 163-175.
    5. Arora, V.K. & Singh, Harbakhshinder & Singh, Bijay, 2007. "Analyzing wheat productivity responses to climatic, irrigation and fertilizer-nitrogen regimes in a semi-arid sub-tropical environment using the CERES-Wheat model," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 22-30, December.
    6. Timsina, J. & Humphreys, E., 2006. "Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: A review," Agricultural Systems, Elsevier, vol. 90(1-3), pages 5-31, October.
    7. Li, Zhuo Ting & Yang, J.Y. & Drury, C.F. & Hoogenboom, G., 2015. "Evaluation of the DSSAT-CSM for simulating yield and soil organic C and N of a long-term maize and wheat rotation experiment in the Loess Plateau of Northwestern China," Agricultural Systems, Elsevier, vol. 135(C), pages 90-104.
    8. Wei, Yongping & Chen, Deli & Hu, Kelin & Willett, Ian R. & Langford, John, 2009. "Policy incentives for reducing nitrate leaching from intensive agriculture in desert oases of Alxa, Inner Mongolia, China," Agricultural Water Management, Elsevier, vol. 96(7), pages 1114-1119, July.
    9. Dechmi, F. & Playan, E. & Faci, J. M. & Tejero, M. & Bercero, A., 2003. "Analysis of an irrigation district in northeastern Spain: II. Irrigation evaluation, simulation and scheduling," Agricultural Water Management, Elsevier, vol. 61(2), pages 93-109, June.
    10. Dechmi, F. & Playan, E. & Faci, J. M. & Tejero, M., 2003. "Analysis of an irrigation district in northeastern Spain: I. Characterisation and water use assessment," Agricultural Water Management, Elsevier, vol. 61(2), pages 75-92, June.
    11. Gheysari, Mahdi & Mirlatifi, Seyed Majid & Bannayan, Mohammad & Homaee, Mehdi & Hoogenboom, Gerrit, 2009. "Interaction of water and nitrogen on maize grown for silage," Agricultural Water Management, Elsevier, vol. 96(5), pages 809-821, May.
    12. McCown, R.L. & Carberry, P.S. & Dalgliesh, N.P. & Foale, M.A. & Hochman, Z., 2012. "Farmers use intuition to reinvent analytic decision support for managing seasonal climatic variability," Agricultural Systems, Elsevier, vol. 106(1), pages 33-45.
    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. Dechmi, Farida & Skhiri, Ahmed & Isidoro, Daniel, 2021. "Modeling environmental impact in a semi-arid intensive irrigated watershed," Agricultural Water Management, Elsevier, vol. 256(C).
    2. Amiri, E. & Irmak, S. & Araji, H. Ahmadzadeh, 2022. "Assessment of CERES-Maize model in simulating maize growth, yield and soil water content under rainfed, limited and full irrigation," Agricultural Water Management, Elsevier, vol. 259(C).
    3. Zhang, Jing & Zhang, Huihui & Sima, Matthew W. & Trout, Thomas J. & Malone, Rob W. & Wang, Li, 2021. "Simulated deficit irrigation and climate change effects on sunflower production in Eastern Colorado with CSM-CROPGRO-Sunflower in RZWQM2," Agricultural Water Management, Elsevier, vol. 246(C).
    4. Kheir, Ahmed M.S. & Alrajhi, Abdullah A. & Ghoneim, Adel M. & Ali, Esmat F. & Magrashi, Ali & Zoghdan, Medhat G. & Abdelkhalik, Sedhom A.M. & Fahmy, Ahmed E. & Elnashar, Abdelrazek, 2021. "Modeling deficit irrigation-based evapotranspiration optimizes wheat yield and water productivity in arid regions," Agricultural Water Management, Elsevier, vol. 256(C).
    5. Malik, Wafa & Dechmi, Farida, 2020. "Modelling agricultural nitrogen losses to enhance the environmental sustainability under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 230(C).

    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. Dechmi, Farida & Skhiri, Ahmed & Isidoro, Daniel, 2021. "Modeling environmental impact in a semi-arid intensive irrigated watershed," Agricultural Water Management, Elsevier, vol. 256(C).
    2. Cameira, Maria do Rosário & Rodrigo, Isabel & Garção, Andreia & Neves, Manuela & Ferreira, Antónia & Paredes, Paula, 2024. "Linking participatory approach and rapid appraisal methods to select potential innovations in collective irrigation systems," Agricultural Water Management, Elsevier, vol. 299(C).
    3. Franco-Luesma, Samuel & Álvaro-Fuentes, Jorge & Plaza-Bonilla, Daniel & Arrúe, José Luis & Cantero-Martínez, Carlos & Cavero, José, 2019. "Influence of irrigation time and frequency on greenhouse gas emissions in a solid-set sprinkler-irrigated maize under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 221(C), pages 303-311.
    4. Playan, Enrique & Mateos, Luciano, 2006. "Modernization and optimization of irrigation systems to increase water productivity," Agricultural Water Management, Elsevier, vol. 80(1-3), pages 100-116, February.
    5. Lecina, S. & Playan, E. & Isidoro, D. & Dechmi, F. & Causape, J. & Faci, J.M., 2005. "Irrigation evaluation and simulation at the Irrigation District V of Bardenas (Spain)," Agricultural Water Management, Elsevier, vol. 73(3), pages 223-245, May.
    6. Lecina, S. & Isidoro, D. & Playán, E. & Aragüés, R., 2010. "Irrigation modernization and water conservation in Spain: The case of Riegos del Alto Aragón," Agricultural Water Management, Elsevier, vol. 97(10), pages 1663-1675, October.
    7. Barros, R. & Isidoro, D. & Aragüés, R., 2011. "Long-term water balances in La Violada Irrigation District (Spain): II. Analysis of irrigation performance," Agricultural Water Management, Elsevier, vol. 98(10), pages 1569-1576, August.
    8. Ghimire, Chandra Prasad & Bradley, Stuart & Ritchie, Willis & Appels, Willemijn M. & Grundy, Laura & Snow, Val, 2022. "Towards quantifying plot-scale overland flow connectivity using acoustic proximal remote sensing," Agricultural Water Management, Elsevier, vol. 262(C).
    9. Stambouli, T. & Faci, J.M. & Zapata, N., 2014. "Water and energy management in an automated irrigation district," Agricultural Water Management, Elsevier, vol. 142(C), pages 66-76.
    10. Ján Jobbágy & Koloman Krištof, 2018. "Evaluation of the coefficient of uniformity and non-uniformity of irrigation for wide-range irrigators in various field conditions," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 64(2), pages 55-62.
    11. Andrés, R. & Cuchí, J.A., 2014. "Analysis of sprinkler irrigation management in the LASESA district, Monegros (Spain)," Agricultural Water Management, Elsevier, vol. 131(C), pages 95-107.
    12. Lecina, S. & Neale, C.M.U. & Merkley, G.P. & Dos Santos, C.A.C., 2011. "Irrigation evaluation based on performance analysis and water accounting at the Bear River Irrigation Project (U.S.A.)," Agricultural Water Management, Elsevier, vol. 98(9), pages 1349-1363, July.
    13. Mohamadzade, Fahime & Gheysari, Mahdi & Eshghizadeh, Hamidreza & Tabatabaei, Mahsa Sadat & Hoogenboom, Gerrit, 2022. "The effect of water and nitrogen on drip tape irrigated silage maize grown under arid conditions: Experimental and simulations," Agricultural Water Management, Elsevier, vol. 271(C).
    14. Chopart, J.L. & Mezino, M. & Aure, F. & Le Mezo, L. & Mete, M. & Vauclin, M., 2007. "OSIRI: A simple decision-making tool for monitoring irrigation of small farms in heterogeneous environments," Agricultural Water Management, Elsevier, vol. 87(2), pages 128-138, January.
    15. Ge, Maosheng & Wu, Pute & Zhu, Delan & Zhang, Lin & Cai, Yaohui, 2020. "Optimized configuration of a hose reel traveling irrigator," Agricultural Water Management, Elsevier, vol. 240(C).
    16. Anar, Mohammad J. & Lin, Zhulu & Hoogenboom, Gerrit & Shelia, Vakhtang & Batchelor, William D. & Teboh, Jasper M. & Ostlie, Michael & Schatz, Blaine G. & Khan, Mohamed, 2019. "Modeling growth, development and yield of Sugarbeet using DSSAT," Agricultural Systems, Elsevier, vol. 169(C), pages 58-70.
    17. Aftab Wajid & Khalid Hussain & Ayesha Ilyas & Muhammad Habib-ur-Rahman & Qamar Shakil & Gerrit Hoogenboom, 2021. "Crop Models: Important Tools in Decision Support System to Manage Wheat Production under Vulnerable Environments," Agriculture, MDPI, vol. 11(11), pages 1-22, November.
    18. Yahui Guo & Wenxiang Wu & Mingzhu Du & Christopher Robin Bryant & Yong Li & Yuyi Wang & Han Huang, 2019. "Assessing Potential Climate Change Impacts and Adaptive Measures on Rice Yields: The Case of Zhejiang Province in China," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    19. Playán, Enrique & Zapata, Nery & Latorre, Borja & Cavero, José & Paniagua, Piluca & Medina, Eva T. & Lorenzo, María Angeles & Burguete, Javier, 2024. "Ador-Solid-Set: A coupled simulation model for commercial solid-set irrigated fields," Agricultural Water Management, Elsevier, vol. 295(C).
    20. Timsina, J. & Godwin, D. & Humphreys, E. & Yadvinder-Singh & Bijay-Singh & Kukal, S.S. & Smith, D., 2008. "Evaluation of options for increasing yield and water productivity of wheat in Punjab, India using the DSSAT-CSM-CERES-Wheat model," Agricultural Water Management, Elsevier, vol. 95(9), pages 1099-1110, September.

    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:eee:agiwat:v:216:y:2019:i:c:p:27-43. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.