[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ags/ugidic/302157.html
   My bibliography  Save this paper

Performance Evaluation Of The Budget Model In Simulating Cotton And Wheat Yield And Soil Moisture In Fergana Valley

Author

Listed:
  • Kenjabaev, Sh.
  • Forkutsa, I.
  • Bach, M.
  • Frede, H.G.
Abstract
Cotton (Gossypium hirsutum L.) and wheat (Triticum aestivum L.) are major crops grown in Uzbekistan and water shortage is considered as the main limiting factor for crop growth as well as sustainable economic development. The objective of this study was to adapt and test the ability of the soil water balance model BUDGET (ver. 6.2) to simulate cotton as well as wheat yield and soil water content under current agronomic practices in the Fergana Valley. Crop yield and soil moisture content data, collected and measured from sites in 2010 and 2011, were compared with model simulations. Results showed that the BUDGET can be used to predict cotton yield and soil water content with acceptable accuracy using the minimum approach. However, predicted wheat yield was high compared to the observed and reported yield. Overall, relationship between the observed and predicted cotton and wheat yield for both sites combined produced R² of 0.91 and 0.15, RMSE of 0.24 and 1.64 t ha-1, relative Nash-Sutcliffe efficiency (Erel) of 0.71 and -5.68 and index of agreement (d) of 0.48 and -0.54, respectively. Similarly, comparison of the observed and simulated soil moisture contents at the top 0-30 cm soil layer and soil water contents in 90 cm profile yielded R² of 0.88 and 0.71-0.88, RMSE of 2.74 %vol. and 21.4-28.7 mm, Erel of 0.87 and 0.53-0.81, respectively and d around 1.0. Consequently, the BUDGET can be a valuable tool for simulating both cotton yield and soil water content, particularly considering the fact that the model requires relatively minimal input data. Predicted soil water balance can be used to improve current practice of irrigation water management, whereas simulated soil moisture content can be used to estimate capillary rise from groundwater in the UPFLOW model. However, performance of the model has to be evaluated under a wider range of agro-climatic and soil conditions in the future.

Suggested Citation

  • Kenjabaev, Sh. & Forkutsa, I. & Bach, M. & Frede, H.G., 2013. "Performance Evaluation Of The Budget Model In Simulating Cotton And Wheat Yield And Soil Moisture In Fergana Valley," International Conference and Young Researchers Forum - Natural Resource Use in Central Asia: Institutional Challenges and the Contribution of Capacity Building 302157, University of Giessen (JLU Giessen), Center for International Development and Environmental Research.
    • Handle: RePEc:ags:ugidic:302157
    DOI: 10.22004/ag.econ.302157
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/302157/files/DiscPap_64%20-%20Proceedings%20LUCA%20Conference%202013-001.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.302157?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
    ---><---

    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:ags:ugidic:302157. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/zegiede.html .

    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.