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Information Journal Paper

Title

Comparison of DSSAT and AQUACROP Models Performance for Wheat Yield Simulation

Pages

  223-233

Abstract

 The investigation of plant production limiting factors requires extensive and costly research, so the use of models can be noteworthy. Practical models including Aquacrop and DSSAT are used to simulate plant production. In the first year, these models were calibrated for Khuzestan wheat farms in Ramseh pilot and in the second year for two pilots, Ramseh and Hamidiyeh. The normalized root mean square error, agreement index and model efficiency with DSSAT model for grain yield values in the first year were 0. 036, 0. 01, 0. 92 and 0. 76, respectively that Comparison of these values with statistical indices obtained from Aquacrop model indicates less error and more performance index for using DSSAT model. Also, the performance of the model, which is an indicator of the effectiveness in the selection of models, shows that the DSSAT is more efficient than the Aquacrop model. Mean root mean square error and normalized root mean square error of wheat biomass in the DSSAT model were determined to be 0. 23 and 0. 04 respectively that indicates the DSSAT model has higher efficiency and accuracy than the Aquacrop model in simulating grain yield and wheat biomass.

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    APA: Copy

    EMDAD, M.R., & TAFTEH, A.. (2021). Comparison of DSSAT and AQUACROP Models Performance for Wheat Yield Simulation. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 15(1 ), 223-233. SID. https://sid.ir/paper/1053746/en

    Vancouver: Copy

    EMDAD M.R., TAFTEH A.. Comparison of DSSAT and AQUACROP Models Performance for Wheat Yield Simulation. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2021;15(1 ):223-233. Available from: https://sid.ir/paper/1053746/en

    IEEE: Copy

    M.R. EMDAD, and A. TAFTEH, “Comparison of DSSAT and AQUACROP Models Performance for Wheat Yield Simulation,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 15, no. 1 , pp. 223–233, 2021, [Online]. Available: https://sid.ir/paper/1053746/en

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