IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v310y2025ics0378377425000745.html
   My bibliography  Save this article

Calibration and validation of the AquaCrop model for simulating cotton growth under a semi-arid climate in Uzbekistan

Author

Listed:
  • Boulange, Julien
  • Nizamov, Sherzod
  • Nurbekov, Aziz
  • Ziyatov, Musulmon
  • Kamilov, Bakhtiyor
  • Nizamov, Sirojiddin
  • Abduvasikov, Abduaziz
  • Khamdamova, Gulnoza
  • Watanabe, Hirozumi

Abstract

Cotton is a crucial fiber crop, but its conventional production methods are heavily water intensive. In regions where water availability already limits cotton yields, there is a growing need to explore alternative field management practices that stabilize yields while reducing irrigation demands. Crop models, such as the AquaCrop model, are instrumental in these efforts, enabling simulations of the complex interactions between field management, water dynamics, crop growth, and yield. However, the variability in calibrated parameter values reported across AquaCrop studies for cotton raises concerns about the transferability and reliability of previously calibrated models.

Suggested Citation

  • Boulange, Julien & Nizamov, Sherzod & Nurbekov, Aziz & Ziyatov, Musulmon & Kamilov, Bakhtiyor & Nizamov, Sirojiddin & Abduvasikov, Abduaziz & Khamdamova, Gulnoza & Watanabe, Hirozumi, 2025. "Calibration and validation of the AquaCrop model for simulating cotton growth under a semi-arid climate in Uzbekistan," Agricultural Water Management, Elsevier, vol. 310(C).
    • Handle: RePEc:eee:agiwat:v:310:y:2025:i:c:s0378377425000745
    DOI: 10.1016/j.agwat.2025.109360
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377425000745
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2025.109360?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.

    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:310:y:2025:i:c:s0378377425000745. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.