@article{Kenjabaev:159114,
      recid = {159114},
      author = {Kenjabaev, Shavkat and Forkutsa, I. and Bach, M. and  Frede, H.-G.},
      title = {Performance evaluation of the BUDGET model in simulating  cotton and wheat yield and soil moisture in Fergana valley},
      address = {2013-10-01},
      number = {1611-2016-134573},
      pages = {15},
      month = {Oct},
      year = {2013},
      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.},
      url = {http://ageconsearch.umn.edu/record/159114},
      doi = {https://doi.org/10.22004/ag.econ.159114},
}