Plant production model evaluation for the root zone water quality model (RZWQM 3.2) in Ohio

The Ohio Management Systems Evaluation Areas (MSEA) project focused on deve loping and evaluating improved agricultural management systems and predicti ve models. The Root Zone Water Quality Model (RZWQM) is an environmental mo del for simulating water, chemical, and biological response of agricultural management systems, This paper presents calibration and evaluation of the generic plant production model of RZWQM, as well as some evaluation results fur the nitrate and soil water content predictions. Corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] biomass data collected at the Ohio MSEA f rom 1991 to 1993 were used for evaluation, Data from 1992 were used in cali brating RZWQM, and data from two other years (1991 and 1993) at the same si te were used for validation. Crop growth predictions were compared with obs erved values of leaf, stem, and seed biomass collected throughout the growi ng season. Leaf and stem biomass predictions generally fell within 1 SD of the observed values, but For all years there were dates when predictions we re outside of the observed range. RZWQM predicted seed biomass or yield ade quately for all 3 years, with predictions falling within 1 SD of the observ ed values, Soil water content estimates for corn were higher than observed values late in the season, perhaps because of underestimates of evapotransp iration due to errors in leaf area predictions, The model overpredicted nit rate concentrations for the corn plot late in the season. Nitrate concentra tions for the soybean plot,were generally underpredicted. These differences may be due to underestimates of the fast humus pool of the nutrient model and of the NZ fixation rate for soybean. More evaluation is needed to refin e the nitrate and soil water content predictions.