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a USDA-ARS, Irrigated Agriculture Research and Extension Center, Prosser, WA 99350
b USDA-ARS Pasture Systems and Watershed Management Research Lab., University Park, PA 16802
c Department of Agronomy, 116 A.S.I. Bldg., Pennsylvania State University, University Park, PA 16802
Corresponding author (jjabro{at}tricity.wsu.edu)
Received for publication February 25, 2000. Water resources protection from nitrate nitrogen (NO3N) contamination is an important public concern and a major national environmental issue. The abilities of the SOILSOILN model to simulate water drainage and nitrate N fluxes from orchardgrass (Dactylis glomerata L.) were evaluated using data from a 3-yr field experiment. The soil is classified as a Hagerstown silt loam soil (fine, mixed, semiactive, mesic Typic Hapludalf). Nitrate losses below the 1-m depth from N-fertilized grazed orchardgrass were measured with intact soil core lysimeters. Five N-fertilizer treatments consisted of a control, urine application in the spring, urine application in the summer, urine application in the fall, and feces application in the summer. The SOILSOILN models were evaluated using water drainage and nitrate flux data for 19931994, 19941995, and 19951996. The N rate constants from a similar experiment with inorganic fertilizer and manure treatments under corn (Zea mays L.) were used to evaluate the SOILN model under orchardgrass sod. Results indicated that the SOIL model accurately simulated water drainage for all three years. The SOILN model adequately predicted nitrate losses for three urine treatments in each year and a control treatment in 19941995. However, it failed to produce accurate simulations for two control treatments in 19931994 and 19951996, and feces treatments in all three years. The inaccuracy in the simulation results for the control and feces treatments seems to be related to an inadequate modeling of N transformation processes. In general, the results demonstrate the potential of the SOILN model to predict NO3N fluxes under pasture conditions using N transformation rate constants determined through the calibration process from corn fields on similar soils.
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