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Variable Rate Seeding

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Conduct a 'split-planter' comparison of a variable versus a uniform seeding rates. ... Limited problem with planter height sensor preventing seeding ... – PowerPoint PPT presentation

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Title: Variable Rate Seeding


1
Variable Rate Seeding
2
Corn Variable Rate Seeding Suggested Practices
Pioneer, Inc.
  • Based on yield experiences in Midwest

3
Variable Rate Seeding Tips
  • Establish final populations of 28,000 to 32,000
    plants per acre except in areas where expected
    yield levels are consistently below 100 bu./acre.
  • Look for areas in fields that consistently have
    poor plant survival and consider increasing
    seeding rates in these areas (wet, compacted or
    steeply sloping areas).
  • Leave uniform seeding rate strips in fields
    planted with a variable rate seeding plan. Be
    sure to check the yields of side-by-side,
    variable rate and uniform rate strips at harvest.

http//www.pioneer.com/growingpoint/default_en.jsp
Variable Rate Seeding Success Requires Patience
and Practice
4
Variable Rate Seeding Tips
  • Conduct a "split-planter" comparison of a
    variable versus a uniform seeding rates.
  • Modern hybrids are more tolerant of
    higher-than-optimum populations.
  • Don't make large changes in your seeding rate
    choices based on one or two years worth of data.
  • Keep planters properly maintained and calibrated.

http//www.pioneer.com/growingpoint/default_en.jsp
Variable Rate Seeding Success Requires Patience
and Practice
5
Midwest Corn Yield Response
http//www.pioneer.com/usa/agronomy/corn/1106.htm
6
2002 IMPACT Variable Rate Seeding Study
7
Objectives
  • Evaluate the operation of the John Deere SeedStar
    system
  • Determine the value of varying seeding rate

8
SeedStar Principles
  • Map based create using JDMap software
  • Hydraulic drive for planter
  • Automatic adjustment of seeding rate to match map

9
Variable Seeding Justification
  • Match plant population to yield potential
  • Adjust for stand establishment problems
  • Decrease seed cost

10
Site Description
  • IMPACT Center Brazos Valley near Snook
  • Irrigated
  • Highly variable soils
  • Corn following cotton

11
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12
Experimental Design
  • Alternating passes of fixed and variable rates to
    facilitate paired comparisons
  • Three replications
  • Five treatments 4 fixed, 1 varying

13
Seeding Rates
  • Selected on combination of stand establishment
    and yield potential
  • Fixed 25, 28, 31, 34k seed/ac
  • Variable 4 above rates assigned by polygon

14
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17
Seed Rate Polygons
  • Area 1 (25,000) - sandy soil, moderate yield
    potential
  • Area 2 (28,000) deep silt, highest yield
    potential
  • Area 3 (31,000) clay, moderate yield potential
  • Area 4 (34,000) poorly drained clay, past stand
    problems, lower yield potential

18
Operational Evaluation
19
Seeding Map Creation
Graphic courtesy of John Deere Co.
20
Seeding Map Creation
  • JDMap expects seeding polygons to be drawn from
    yield maps
  • Import limited to digitized NRCS soils data
  • To use photo and conductivity, had to trick the
    software

21
Field Operation
  • Easy to select fixed or map operation
  • Limited problem with planter height sensor
    preventing seeding
  • Provided map of actual seeding rate for
    comparison to target
  • Actual tracked target rate well

22
Monitor shows current performance and allows easy
selection of preprogrammed seeding rates.
23
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24
Results of Seeding Rate Treatments
25
Yield Data Collection
  • Weighing trailer for grain weight from each
    treatment
  • Yield mapping on combine (typical accuracy lt 3
    error)

26
Yield Means Trailer Weight
Yield given as pounds since moisture content for
each load was unknown.
27
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28
Yield Means (bu/ac)
Means with the same letter are not significantly
different.
29
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30
Treatment Paired Comparisons
31
Same Rate Paired Comparisons
32
Stand Establishment
33
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34
Seed Cost Implications
  • Variable rate resulted in 31,258 seed/ac average
  • No cost reduction compared to nominal rate of
    31,000 seed/ac

35
Conclusions
  • Operational
  • Software limited by data sources for creating
    seed rate polygons
  • Field performance was as expected after initial
    learning

36
Conclusions
  • Seed rate impact on yield
  • Rate polygons did not accurately match yield
    pattern
  • In 2002, 25,000 seed/ac was optimum rate

37
Conclusions
  • Seed rate impact on yield
  • Variable rate generally matched target rate in
    each area
  • Paired comparisons of adjacent treatments showed
    a wide range with no trend

38
Conclusions
  • Impact on plant stand
  • Increasing seed rate on soils with problem
    history improved population

39
Conclusions
  • Impact on seed cost
  • Variable rate treatment averaged near the nominal
    seed rate. No reduction in seed cost for this
    field.

40
Summary
  • No value to varying seeding rate based on
    polygons used in 2002
  • Evaluation will continue with revisions in
    application plan
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