Simulation and Evaluation of DSSAT Model under Long-Term Continuous Maize Production for Agricultural Intelligent Decision Support

Abstract:

DSSAT (Decision Support System for Agrotechnology Transfer) -CERES-Maize was employed to characterize maize yield and nitrogen dynamics in a 50-year maize production study at Woodslee, Ontario, Canada. The treatments selected for evaluation included continuous maize/corn with fertilization (CC-F) and continuous maize/corn without fertilization (CC-NF) treatments. The results showed that the DSSAT model could simulate yield of CC-F more precisely than that of CC-NF. The simulated cumulative nitrate loss from CC-F treatment from 1998 to 2000 was consistent with the actual measured value. For CC-NF, The DSSAT model overestimated the cumulative nitrate loss.

• Periodical: Advanced Materials Research (Volume 709)
• Pages: 551-554
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.709.551
• Online since: June 2013
• Authors: Hai Long Liu, Ye Ping Zhu, Jing Yi Yang, Ping He, Ji Yun Jin
• Keywords: CERES-Maize, Crop System Model, DSSAT, Sequential Simulation

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