Validating Weather and Sensor-based N Prediction Models for Michigan Corn Production
IPNI-2015-USA-MI14
Justification: Due to seasonal and geographic variables impacting N cycling and corn growth, accurately predicting the economic optimum nitrogen rate (EONR) remains a challenge. One approach to provide N recommendations, referred to as MRTN (Maximum Return To Nitrogen), has been utilized by seven Midwestern states and provides N rate recommendations based on yield response to applied N while simultaneously accounting for fertilizer and grain prices. Read more
Interpretive Summary
Differences in weather, particularly the timing and amount of rain, cause variability in corn response to nitrogen (N) fertilizer from one year to another. The regional Maximum Return to Nitrogen (MRTN) approach used in seven midwestern states provides recommendations based on documented yield responses to N, and allows for economic optimization, but does not adjust for year-specific weather events. This trial compared two year-specific approaches as alternatives to MRTN.
Differences in weather, particularly the timing and amount of rain, cause variability in corn response to nitrogen (N) fertilizer from one year to another. The regional Maximum Return to Nitrogen (MRTN) approach used in seven midwestern states provides recommendations based on documented yield responses to N, and allows for economic optimization, but does not adjust for year-specific weather events. This trial compared two year-specific approaches as alternatives to MRTN.
Updates & Reports
| 2016 | 2016 Annual Report |
| 2015 | Project Description |
Project Leader
Kurt Steinke, Michigan State University
Project Cooperators
Jeff Rutan, Michigan State Univ
IPNI Staff
Location
Americas \ Northern America \ USA \ Michigan