289-1 Nitrogen Recommendations in North Carolina: Evaluation of Adapt-N.

Poster Number 100

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: Adaptive Nutrient Management: II

Tuesday, November 17, 2015
Minneapolis Convention Center, Exhibit Hall BC

Shelby Rajkovich1, Deanna L. Osmond2, Rob Austin1, Harold van Es3 and Shai Sela4, (1)North Carolina State University, Raleigh, NC
(2)PO Box 7620, North Carolina State University, Raleigh, NC
(3)Emerson Hall, Rm. 235, Cornell University, Ithaca, NY
(4)Soil and Crop Sciences Section, Cornell University, Ithaca, NY
Abstract:
As awareness of the environmental and economic cost of excess nitrogen (N) applications in agriculture increases, the need for producers to be able to confidently make precise N management decisions is critical. Adapt-N, a nitrogen recommendation tool, is designed to recommend N application rates in corn at or after V-6 and quantify the fate of N in corn fields including mineralization and leaching. However, its use has been mainly in the Northeast and Midwest. Soils and climate data from North Carolina have recently been incorporated into Adapt-N but the tool has not been validated against field conditions (e.g. soil, management, crop, yield goals, and weather parameters) in the Southeast. Two different trial types will be included: 1) N rate strip trials (farmer N rate, +/- 25%, and Adapt-N rate) in the lower Coastal Plain of North Carolina, and 2) three N response trials (Coastal Plain, Piedmont and Mountains). Corn yield data are evaluated with linear-plateau, quadratic, and quadratic plateau models to determine agronomic optimum N rates (AONR) and economic optimum N rates (EONR) for 26 corn trials over 2 years. These rates are then compared to N rate recommendations based on Adapt-N, the North Carolina Realistic Yield Expectation (RYE) database recommendations, and farmer rates. Year one data will be presented.

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: Adaptive Nutrient Management: II

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