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Fluid Journal : Spring 2015
17 The Fluid Journal Spring 2015 indication that overall site productivity was high. Sensor treatments were effective at determining the optimum N rate for high yield and profitability. Summing up Pooled analysis of all locations (Table 7) shows that overall performance of the sensors and algorithm used was effective at achieving high yields, but has the tendency to overestimate N requirements. However, this result is not surprising as the algorithm was designed for single N applications of N at V-10 and achieving the highest yield possible rather than the agronomic optimum yield. Fertigation systems present the possibility of monitoring the corn crop throughout the growing season and making multiple applications, thus allowing the opportunity to determine the optimum N rate for a given field any particular year. However, in order to optimize sensor-based N recommendations for fertigation systems, algorithms must be specifically designed for these systems in order to take advantage of their full capabilities, thus allowing advanced N management systems to be implemented. Mr. Asebedo is Graduate Research Assistant in Agronomy, Dr. Eric Adee is Assistant Professor and Agronomist-in-Charge of the Kansas River Valley Experiment Field, Topeka, and Dr. Dave Mengel is Professor of Agronomy, all at Kansas State University in Manhattan, Kansas. ACT N JOIN IN THE SUPPORT OF THIS ORGANIZATIO The Fluid Fertilizer Foundation • 2805 Clafl The Fluid Fertilizer Foundation We need you to join hundreds of other growers, dealers Figure 2. 2013 Scandia Station Rainfall and Irrigation. Figure 3. 2014 Scandia Station Rainfall and Irrigation.