N. R. Kitchen1, Peter Scharf2, Darrin Roberts2, and Kenneth A. Sudduth3. (1) USDA-ARS, Cropping Systems and Water Quality Res. Unit, 269 Ag Engineering Building, Columbia, MO 65211, (2) University of Missouri, "Dept of Agronomy, 214 Waters", "Dept of Agronomy, 214 Waters", Columbia, MO 65211, United States of America, (3) USDA-ARS, Cropping Syst. and Water Quality Res. Unit, Columbia, MO 65211
For many corn production fields, variable-rate N applications can optimize production and minimize off-field N losses. Variability in N fertilizer need is a function of both year-to-year climate differences (e.g., precipitation and temperature) and point-to-point soil differences (e.g., mineralization potential and denitrification potential). Crop canopy reflectance sensors employing artificial light sources have allowed researchers and producers to explore procedures accounting for this variability in N fertilizer need and, when employed on a variable-rate applicator, automatically adjusting N application rates. This procedure is based on the fact that corn needing N is lighter in color, usually smaller, and reflects light differently than corn that has sufficient N. This work reports on using these sensors in quantifying crop N needs and the potential subsequent environmental benefits. As an example, a 2004-05 study conducted on 12 producer fields in Missouri found that economic optimal N rate (EONR) was significantly related to readings from the sensors. Averaged over all fields, sensor-based applications reduced N fertilizer rate from what the producer applied by 37 kg N/ha. As N-rate approached EONR, both yield efficiency and N fertilizer recovery efficiency declined, while post-harvest inorganic N levels increased. The potential reduction in N lost from corn production fields into rivers and streams by using this sensor technology will be examined for the case of the U.S. Midwest. Adoption of sensor-based N management will occur once profitability is demonstrated and environmental benefits are documented.