IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v316y2025ics0378377425002975.html
   My bibliography  Save this article

Crop water use and crop coefficients of sunflower in the U.S. Central Great Plains

Author

Listed:
  • Trout, Thomas J.
  • DeJonge, Kendall C.
  • Zhang, Huihui

Abstract

Sunflower is a drought-tolerant crop commonly grown as a rainfed crop in semi-arid areas, but irrigation is required to produce maximum yield. The purpose of this study was to determine sunflower water requirements and crop coefficients to facilitate irrigation planning and precision scheduling. Sunflower crop water use (evapotranspiration, ETc) was measured by water balance in a 9-year field trial (2008–2016) in the west-central U.S. Great Plains. Seasonal ETc of the well-irrigated crops varied from 422 to 660 mm and averaged 523 mm. About 10 % of the seasonal ETc with surface drip irrigation was estimated to be evaporation from the wet soil surface following precipitation or irrigation. Seasonal ETc averaged 67 % of alfalfa (tall crop) reference evapotranspiration and 81 % of grass (short crop) reference evapotranspiration. Derived mid-season basal alfalfa reference crop coefficients, averaged 1.09 but varied among years from 0.94 to 1.32. Derived mid-season climate-adjusted basal grass reference crop coefficients averaged 1.23 and likewise varied among years. The variability was not correlated with several climatic or cropping parameters. The derived basal crop coefficients were linearly related to crop canopy ground cover which provided an excellent way to scale mid-season crop coefficients during both crop development and maturation stages. These multiyear results indicate that crop coefficients may vary among years.

Suggested Citation

  • Trout, Thomas J. & DeJonge, Kendall C. & Zhang, Huihui, 2025. "Crop water use and crop coefficients of sunflower in the U.S. Central Great Plains," Agricultural Water Management, Elsevier, vol. 316(C).
  • Handle: RePEc:eee:agiwat:v:316:y:2025:i:c:s0378377425002975
    DOI: 10.1016/j.agwat.2025.109583
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377425002975
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2025.109583?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:316:y:2025:i:c:s0378377425002975. 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.