Grants and Contracts Details
Description
The proposed study design creates a unique plot layout that will offer an opportunity to increase our
fundamental understanding of nitrogen fertilizer response and improve our ability to predict the correct
nitrogen rate to achieve maximum yield, maximum return on nitrogen investment, or to minimize
potential environmental impacts due to nitrogen leaching. This study includes six unique early season N
rates, generating a range of V8 NDVI values along with responsiveness and yield potential data for each
of those NDVI values. In addition, using a split plot design for the sidedress treatments allows us to
assess total response to sidedress nitrogen at each sidedress rate, with small spatial variability. This data
will improve sensor]based models that use yield potential and nitrogen responsiveness to generate
spatially variable nitrogen recommendations. We hope to conduct this research over many years to
continually add to the database allowing annual evaluation of nitrogen recommendation systems
commonly used across Kentucky. This study will generate six nitrogen response curves, one for each
preseason nitrogen rate, that look like the curve provided in Figure 2. For each site, we will the
University of Kentucky recommended rate and the rates recommended by the commercial systems
evaluated. We will be able to compare each of these recommended rates to the economic optimum,
agronomic optimum, and environmentally optimum rates for each site. Across sites and years we will be
able to report the error for each recommendation system compared to the three different targets. If we
are able to continue this work for many years we will develop a database that farmers can use when
deciding between current or future nitrogen recommendation systems available to them.
Status | Finished |
---|---|
Effective start/end date | 4/1/18 → 2/20/20 |
Funding
- Kentucky Corn Growers Association: $188,366.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.