The Potential of Applying Decision Support Systems to Improve Agrotechnology Transfer in the Rainfed Areas of the Loess Plateau in China

نویسندگان

  • Pengxin Wang
  • Gerrit Hoogenboom
  • Dong Qu
چکیده

Three soils in the Loess Plateau were selected to explore the potential of applying the decision support system for agrotechnology transfer (DSSAT) crop models in the areas and to test the CERES-Wheat model under DSSAT shell. The predicted maturity dates and grain yields were similar to the actual measured values. The manural loessial soil had the highest productivity. The loessial soil had the lowest productivity. Predicted yields for different terrains of the loessial soil showed that the soil in the plain lands and the table lands had a higher productivity than that of the slope lands and the terraces.

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تاریخ انتشار 1997