Managing Global Resources for a Secure Future

2017 Annual Meeting | Oct. 22-25 | Tampa, FL

60-6 The Best and Worst of Corn Nitrogen Rate Recommendation Tools Used in the Midwest.

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: Outcomes of an Innovative Public-Industry Corn Nitrogen Research Partnership

Monday, October 23, 2017: 10:34 AM
Marriott Tampa Waterside, Room 2

Curtis Ransom, Plant, Insect, and Microbial Sciences, University of Missouri, Columbia, MO and Newell R Kitchen, 243 Agricultural Engineering Bldg, USDA-ARS, Columbia, MO
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. The 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 across the Corn Belt. Nitrogen response trials were conducted across eight Midwest states from 2014 to 2016 resulting in a range of production sites and resulting corn response to N. The performance of publicly-available N recommendation tools: pre-plant soil nitrate tests, pre-sidedress soil nitrate tests (PSNT), maximum return to N (MRTN), crop canopy sensor, and the Maize-N crop growth model are contrasted in this presentation. Tools used for a split N application performed better than tools used for an all at planting recommendation. Of the tools evaluated, the IA PSNT, MRTN, and Nebraska yield goal performed the best as a split N application with 37 and 45 % of the sites having N recommendation within 30 kg N/ha of EONR and a RMSE of < 80 kg N/ha. In contrast, the three poorest performing tools included three of the five yield goal recommendations evaluated with <18% of the sites’ N recommendations were within 30 kg N/ha and have RMSE values between 114 to 125 kg N/ha. Additionally, the Maize-N crop growth model and canopy reflectance sensor algorithm tested performed poorly and on average underestimated EONR.

See more from this Division: ASA Section: Agronomic Production Systems
See more from this Session: Outcomes of an Innovative Public-Industry Corn Nitrogen Research Partnership