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P.D. Harrington, E.D. Nafziger, and R.G. Hoeft 1![]()
The introduction of variable rate application technology and grain yield monitors
has greatly increased farmer interest in varying input rates to match crop productivity.
The use of yield monitors allows producers the opportunity to evaluate the effects
of varying input rates on grain yield and ultimately profit. In order to fully
utilize these technologies, recommendations from small plot research needs to
be adapted to a field scale basis (Vetsch et al. 1994). The use of on-farm trials
and proper statistical analysis is one way to accomplish this goal.
There have been a number of publications dealing with variable application of
P and K (Wollenhaupt et al., 1994). This technology of variably applying nutrients
has been adopted in several areas of the state. Nitrogen, on the other hand
is most often applied at a constant rate rather than on a site specific basis,
even though the controllers needed for variable-rate N application is becoming
more widely available. The main reason for this slow adoption is the difficulty
in quantifying the optimum nitrogen rate for a particular part of a field. Malzer
et al. (1994) found that N responses varied considerably across a field. Huggins
et al (1994) found that N rates required for maximum yield varied from 80 to
160 lb N/acre. The use of yield monitoring as a predictive tool for expected
yields might improve our ability to apply the correct rate of nitrogen fertilizer
(Kitchen et al., 1994), but a rational basis for rate adjustments must be developed.
This is the second year of a three year study designed to evaluate the potential
for site specific application of nitrogen fertilizer in different parts of variable
fields.
Names and locations of the eight farmer cooperators who participated in the
1996 study are listed below. Six different nitrogen rates in increments of 30
lb N/acre were applied in field length strips arranged in an RCBD with 2 or
3 replications. The total amount of N applied differed somewhat among the locations
due to differing fertility programs that included varying amounts of spring-applied
N.
| Cooperator | County | Notes |
|---|---|---|
| John Adams | Logan/McLean | Late emergence |
| Doug Harford | Grundy | Excellent conditions |
| Andy Hunt | Grundy | Some early water damage |
| Mick Johnson | Morgan | Excellent conditions |
| Dave & Dean Sasse | Dewitt | Excellent conditions |
| Ken Sauder | Tazewell | Late Rootworm beetle feeding |
| John Reifsteck | Champaign | Early hail damage |
| Kent Western | Morgan | Some early water damage |
The strips were harvested as individual loads on the yield monitor and data
were collected in 1-second increments. Yield data were processed with Ag Link
3.51 and Arc View 3.0 GIS software. The pass editor features of Ag Link were
used to realign GPS flyers whose pass could be identified by load number. The
data were then imported and analyzed in Arc View 3.0 using Mark II Agronomy's
Arc View Project, Green Plan Analyst.
For purposes of analysis, fields were segmented into grids 100 feet long by
the total width of the six rate strips within a single rep. This was simply
a systematic way of delineating areas of the field to determine if N response
differed in different parts of the field. Among the different locations, there
were thus a total of 6 to 20 grids long by 2 to 3 grids wide, depending on the
length of the field and whether there were two or three reps. Regression curves
were fitted to the data within each grid, with the quadratic-plateau model used
where appropriate. Optimum N rates were calculated from the regression analysis
using the assumptions of $2.50 bu of com and nitrogen cost of $.20/lb ($328/ton
for anhydrous ammonia).
All of the trials were planted in a timely fashion in 1996. The cool and wet
conditions in May caused some slow emergence problems, but stands were generally
good. Yield data were collected in the fall at all eight of the sites.
The Reifsteck site in Champaign County is used as an example of how the data
are being analyzed. Figure la shows the
yield data with the treatments overlaid. The lightest colored areas on the map.,
which represent the lowest yielding areas, correspond somewhat to the lower
nitrogen rates. Figure lb is corrected
for N rate differences by adjusting the yield of each data point using the overall
quadratic regression curve in Figure 2.
This map thus shows the yield variation had the optimum nitrogen rate been applied
to the entire plot area. This adjusted map will be used to delineate high and
low yielding areas of the field, and to determine whether yield level corresponds
to optimum N rate within the field.
Table 1 shows the yield data within each
of the grids. The actual data points, the curve fitted to these points, and
the N rate at which the yield reached a plateau is shown for grids 1 to 3 (Figure
3a) and for grids 4 to 6 (Figure 3b),
moving across the field. The optimum N rates ranged from 65 to 180 lb N/acre
among the different grids (Table 2). The
second rep of this experiment shows a rather unexpected response. The plateau
response seen in the other two reps occurred within the range of the applied
rates in only one grid (Grid 5). The curve for grids 1, 2, 3, and 4 appears
to have been affected by lower than expected yields at the 150 lb N rate in
these grids. No reason is known for this response.
Table 1: Yields, bu/acre within the six grids
Table 2: Optimum N rates (lb N/acre) within the grids shown in Figure 3
Table 3: Optimum grain yields (bu/ac) within the grids shown in Figure 3
Figure 2. N response as assessed by the entire trial. Reifsteck location, 1996
Figure 3a. Nitrogen response, Grids 1 to 3 (from west to east).
Figure 3b. Nitrogen response, Grids 4 to 6 (from west to east)
1 P.D. Harrington is Graduate Research Assistant, Dept. of Crop
Sciences; and E.D. Nafziger and R.G. Hoeft are Professors, Dept. of Crop Sciences,
Univ. of Illinois.
Huggins D.R. and R.D. Alderfer. 1994. Yield variability within long-term management
study: implications for precision farming. Proceedings of Site Specific Management
For Agricultural Systems. Minneapolis, MN. March 27-30, 1994. 417-426.
Kitchen N.R., D.F. Hughes, K.A. Sudduth, and S.J. Birrell. 1994. Comparison
of variable rate to single rate nitrogen fertilizer application: corn production
and residual N03-N. ibid. pp. 427-442.
Malzer, G.L.,T.J. Graff, P.C. Robert, D.R. Huggins, D.J. Fuchs, W.H. Thompson,
G.L. Gaalaas, and T.W. Bruulsema. 1994. Site specific crop management: N-response
by soil condition at Hildreth site 1993. Field Research in Soil Science. 1994,
Miscellaneous Publication 83-1994, Minnesota Agricultural Experiment Station,
University of Minnesota, St. Paul.
Vetsch J.A., G.L. Malzer, P.C. Robert, and D.R. Huggins. 1994. Nitrogen specific
management by soil condition: managing fertilizer nitrogen in corn. Proceedings
of Site Specific Management for Agricultural Systems. Minneapolis, MN. March
27-30 1994. 465-473.
Wollenhaupt, N.C., R.P. Wolkowski, and M.K. Clayton. 1994. Mapping soil test
phosphorus and potassium for variable-rate fertilizer application. J. Prod.
Agric. 7:441-448.