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Modeling Long Term Corn Yield Response to Nitrogen Rate and Crop Rotation

11/6/2016

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REFERENCE:
Puntel, L. A., Sawyer, J. E., Barker, D. W., Dietzel, R., Poffenbarger, H., Castellano, M. J., et al. (2016). Modeling long-term corn yield response to nitrogen rate and crop rotation. Front. Plant Sci. 7, 1630. doi:10.3389/fpls.2016.01630.
OBJECTIVES:
Quantify model prediction accuracy before and after calibration, and report calibration steps
Compare crop model-based techniques in estimating optimal N rate for corn
Utilize the calibrated model to explain factors causing year to year variability in yield and optimal N

METHODOLOGY:
We tested the ability of the Agricultural Production Systems sIMulator (APSIM) to simulate corn [Zea mays L.] and soybean [Glycine max L.] yields, the economic optimum N rate (EONR)   using a 16-year field-experiment dataset from central Iowa, USA that included two crop sequences (continuous corn and soybean-corn) and five N fertilizer rates (0, 67, 134, 201, and 268 kg N ha-1) applied to corn. We evaluate APSIM the model performance of a “blind phase” (uncalibrated model) where management and cultivar information were used, and a “calibrated phase” (calibrated model) where crop yield and soil organic carbon (SOC) data were provided into the model.
Picture
Figure 1. Sixteen year mean crop yield response to N fertilizer rate (A, D, and G panels), and observed versus simulated crop yields across years and N rate (B, C, E, F, H, and I). Points are observations or simulations, continuous lines are regression fits from Eqs. 1–3, and broken lines show 1:1 relationship. mean square error for both calibrated (RRMSE) and uncalibrated model (RRMSE_un) are shown for each year

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