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Title

CALIBRATION AND EVALUATION OF THE CERES-MAIZE MODEL IN GORGAN CLIMATIC CONDITIONS

Pages

  25-49

Abstract

 Background and objectives: Sowing date and irrigation are two constrain factors for maize production, thus before sowing, it is necessary to know about crop yield responses to sowing date and water stress. These factors can be simulated using CERES-Maize model. This experiment was aimed to calibrate and evaluate the CERES-Maize model in Gorgan climatic conditions.Materials and methods: For this purpose, two experiments (each one at two years) were carried out at agricultural research station of Gorgan, Golestan Province. SC.704 as a commercial late-maturing hybrid (MO17×B73), is known as the best maize hybrid is planting in different parts of Iran as well as Golestan province. The first experiment was performed within a three-replicated randomized complete block design during two years (2012 and 2013). The factors included three sowing dates (22 June, 6 July and 21 July) and four irrigation regimes based on maximum allowable depletion (MAD) of the total available soil water (TAW). Also the second experiment was conducted within a four-replicated randomized complete block design during two years (2007 and 2008). The factors included three sowing dates (7 April, 19 April, and 4 May) and two planting densities (6.5 and 8.5 plant m-2). The data from 6.5 plant m-2 was used in this experiment. The model was calibrated using three treatments of optimum irrigation and with nostress in 2012 and two treatments of the second experiment in 2007. Evaluation was done using planting date treatment (2008), planting date and deficit irrigation in 2012 and 2013.Results: The results of the model evaluation indicated that the model simulated phenological stages (anthesis day and maturity day) with high accuracy in different sowing dates and different irrigation regimes. The values of root mean square for anthesis and maturity dates were as 2.5 and 2.9 days, respectively. Therefore, this model could be used in field management planning. Also the results of evaluation base on spring sowing date (2008) and summer sowing dates (2012 and 2013) indicated that the model simulated dry matter and yield of maize with high accuracy. On the other hand, the model simulated dry matter and leaf area index (LAI) trend in different irrigation levels, but hadn’t enough accuracy in terms of model statistical indices.Conclusion: Referring to results of this experiment, the CERES-Maize model can be used in Gorgan climatic conditions for simulating the growing stages and grain yield of maize under favorable conditions.

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    APA: Copy

    FEYZBAKHSH, M.T., KAMKAR, B., MOKHTARPOUR, H., & ASADI, M.E.. (2016). CALIBRATION AND EVALUATION OF THE CERES-MAIZE MODEL IN GORGAN CLIMATIC CONDITIONS. ELECTRONIC JOURNAL OF CROP PRODUCTION, 8(4), 25-49. SID. https://sid.ir/paper/135207/en

    Vancouver: Copy

    FEYZBAKHSH M.T., KAMKAR B., MOKHTARPOUR H., ASADI M.E.. CALIBRATION AND EVALUATION OF THE CERES-MAIZE MODEL IN GORGAN CLIMATIC CONDITIONS. ELECTRONIC JOURNAL OF CROP PRODUCTION[Internet]. 2016;8(4):25-49. Available from: https://sid.ir/paper/135207/en

    IEEE: Copy

    M.T. FEYZBAKHSH, B. KAMKAR, H. MOKHTARPOUR, and M.E. ASADI, “CALIBRATION AND EVALUATION OF THE CERES-MAIZE MODEL IN GORGAN CLIMATIC CONDITIONS,” ELECTRONIC JOURNAL OF CROP PRODUCTION, vol. 8, no. 4, pp. 25–49, 2016, [Online]. Available: https://sid.ir/paper/135207/en

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