Responses to Side-Dressed Nitrogen - Iowa
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Objectives
- Pioneer is interested in helping customers get the most out of their nitrogen (N) investment.
- In 2013, Pioneer field agronomists conducted a series of studies to understand the value of side-dressed or in-season N applications.
Study Description
| Locations: | 30 on-farm locations |
|---|---|
| Hybrids: | Results are pooled across 48 hybrids |
| Populations: | • 30,000 • 34,000 |
| (plants/acre) | • 38,000 • 42,000 |
| Treatments: | Farmer standard N management Farmer standard plus 50-75 lbs/acre side-dress N application |
At this high-yielding location, side-dressed N seemed to reduce late-season lodging. Left: Farmer standard. Right: Side-dress N
Results and Conclusions
- Farms in Iowa received abnormally high rain fall in late April and early May. This created conditions favorable for loss of fall or preplant applied N.
- The yield advantage by locations is shown in Figure 1.
- >Side-dress N modestly improved the response to plant population in environments yielding between 150 and 200 bu/acre Figure 2.
- At locations yielding more than 200 bu/acre, side-dress N strips were at a higher yield level across populations.
- Extreme drought and heat from silking through grain fill most likely limited yield responses to side-dress N.
- Despite the unusually dry summer, this research demonstrates the value of side-dress and in-season N applications.
Figure 1. Yield advantage with the addition of a side-dress N
application. n = 30 locations
Figure 2. Corn yield response to population and side-dressed N at
locations yielding between 150-200 bu/acre. n = 11 locations and
17 hybrids.
Figure 3. Corn response to population and side-dressed N at locations
yielding greater than 200 bu/acre. n = 16 locations and 28 hybrids.
2013 data are based on average of all comparisons made in 27 locations through November 25, 2013. Multi-year and multi-location is a better predictor of future performance. Do not use these or any other data from a limited number of trials as a significant factor in product selection. Product responses are variable and subject to a variety of environmental, disease, and pest pressures. Individual results may vary.