Simulation model for predicting soil water and root distribution of a corn crop
1988
Hechanova, R.F. | Briones, A.A. (Isabela State Univ., Echague, Isabela (Philippines). Coll. of Engineering)
A microcomputer-based simulation model (CERES-MAIZE MODEL) using commonly measured soil, crop, weather, and management parameters as inputs was utilized to predict soil moisture contents, leaf area index (LAI), evapotranspiration (ET), root distribution, and crop yield. The model was tested and evaluated on three different soil types under corn in Isabela [Philippines]. The model satisfactorily predicted the soil moisture contents in the 0-15, 15-30, and 30-45 cm soil depths. Extending the simulation depths to 60 and 75 cm produced significant overestimates. Generally, the model gave higher degree of accuracy of predictions in the coarse-textured soil than in the medium and fine-textured soils. Reasonable agreement predicted and measured LAI and root distribution was obtained, although the model gave a slight overestimation and underestimation at tasseling to maturity for LAI and root distribution, respectively. The CERES-MAIZE model predicted satisfactorily the yield of Pioneer 6181 for the coarse and medium-textured soils but significantly overestimated the yield for the fine-textured soil. This could be attributed to pests and diseases damage which was not included as subroutine in the model.
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