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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #332588
Title: Corn nitrogen fertilization rate tools compared over eight Midwest states

Author
item RANSOM, C - University Of Missouri
item Kitchen, Newell
item CAMBERATO, J - Purdue University
item CARTER, P - Dupont Pioneer Hi-Bred
item FERGUSON, R - University Of Nebraska
item FERNANDEZ, F - University Of Minnesota
item FRANZEN, D - North Dakota State University
item LABOSKI, C.A.M. - University Of Wisconsin
item NAFZIGER, E - University Of Illinois
item SAWYER, J - Iowa State University
item SHANAHAN, J - Dupont Pioneer Hi-Bred

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 8/30/2016
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Publicly-available nitrogen (N) rate recommendation tools are utilized to help maximize yield in corn production. These tools often fail when N is over-applied and results in excess N being lost to the environment, or when N is under-applied and results in decreased yield and economic returns. Performance of a tool is often based on the specific soil and weather conditions of a growing season. Research is needed to determine which tools are the most effective at recommending economical optimal N rates (EONR) under varying soil and weather conditions. Research on N response plots is ongoing to evaluate publically-available recommendation tools across eight Midwest states. This presentation will summarize 2014 and 2015 research. Two sites from each state, resulting in a range of historically productive sites, were used to evaluate differences in soil and weather environments. Performance of publicly-available tools for making N fertilizer recommendations are contrasted in this presentation. Tools to be compared include pre-plant soil nitrate test, pre-sidedress soil nitrate test, maximum return to N (MRTN), crop canopy sensor, and the Maize-N crop growth model. Analysis will include tool performance by site-specific soil and weather environments to understand the universality of each tool.