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Analysis of components and applications of major crop models for nutrient management in agricultural land

  • Lee, Seul-Bi (Division of Soil & Fertilizer, National Institute of Agricultural Sciences) ;
  • Lim, Jung-Eun (Division of Soil & Fertilizer, National Institute of Agricultural Sciences) ;
  • Lee, Ye-Jin (Division of Soil & Fertilizer, National Institute of Agricultural Sciences) ;
  • Sung, Jwa-Kyung (Division of Soil & Fertilizer, National Institute of Agricultural Sciences) ;
  • Lee, Deog-Bae (Division of Soil & Fertilizer, National Institute of Agricultural Sciences) ;
  • Hong, Suk-Young (Division of Soil & Fertilizer, National Institute of Agricultural Sciences)
  • Received : 2016.08.22
  • Accepted : 2016.10.18
  • Published : 2016.12.31

Abstract

The development of models for agriculture systems, especially for crop production, has supported the prediction of crop yields under various environmental change scenarios and the selection of better crop species or cultivar. Crop models could be used as tools for supporting reasonable nutrient management approaches for agricultural land. This paper outlines the simplified structure of main crop models (crop growth model, crop-soil model, and crop-soil-environment model) frequently used in agricultural systems and shows diverse application of their simulated results. Crop growth models such as LINTUL, SUCROS, could provide simulated data for daily growth, potential production, and photosynthesis assimilate partitioning to various organs with different physiological stages, and for evaluating crop nutrient demand. Crop-Soil models (DSSAT, APSIM, WOFOST, QUEFTS) simulate growth, development, and yields of crops; soil processes describing nutrient uptake from root zone; and soil nutrient supply capability, e.g., mineralization/decomposition of soil organic matter. The crop model built for the DSSAT family software has limitations in spatial variability due to its simulation mechanism based on a single homogeneous field unit. To introduce well-performing crop models, the potential applications for crop-soil-environment models such as DSSAT, APSIM, or even a newly designed model, should first be compared. The parameterization of various crops under different cultivation conditions like those of intensive farming systems common in Korea, shortened crop growth period, should be considered as well as various resource inputs.

Keywords

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