Drainage and Nitrate Leaching from Artificially Drained Maize Fields Simulated by the Precision Nitrogen Management Model

• Published in: Journal of environmental quality Vol. 45; no. 6; pp. 2044 - 2052
• Main Authors: Marjerison, Rebecca D., Melkonian, Jeff, Hutson, John L., Es, Harold M., Sela, Shai, Geohring, Larry D., Vetsch, Jeffrey
• Format: Journal Article
• Language: English
• Published: United States The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc 01.11.2016
• ISSN: 0047-2425; 1537-2537
• DOI: 10.2134/jeq2016.04.0129

Environmental nitrogen (N) losses (e.g., nitrate leaching, denitrification, and ammonia volatilization) frequently occur in maize (Zea mays L.) agroecosystems. Decision support systems, designed to optimize the application of N fertilizer in these systems, have been developed using physically based models such as the Precision Nitrogen Management (PNM) model of soil and crop processes, which is an integral component of Adapt‐N, a decision support tool providing N fertilizer recommendations for maize production. Such models can also be used to estimate N losses associated with particular management practices and over a range of current climates and future climate projections. The objectives of this study were to update the PNM model to include an option for simulating soil‐water processes in artificially drained soils, and to calibrate the revised PNM model and test it against multiyear field studies in New York and Minnesota with different soils and management practices. Minimal calibration was required for the model. Denitrification rate constants were calibrated by minimizing the error between simulated and observed nitrate leaching for each study site. The normalized root mean squared error of cumulative daily drainage for the validation sets ranged from 10 to 23%. For cumulative daily nitrate leaching, the normalized root mean squared error ranged from 11 to 28% for the validation sets. The minimal calibration required and relatively simple data inputs make the PNM model a broadly applicable tool for simulating water and N flows in maize systems. Core Ideas The Precision Nitrogen Management model simulates NO3–N leaching in maize fields. We evaluated an updated version of the PNM model using data from two field studies. Drainage and NO3–N were simulated well; prediction errors were around 30% or less.