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Missouri algorithm: Design

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Title: Missouri algorithm: Design


1
Missouri algorithmDesign objectives
Peter Scharf Newell Kitchen, Ken Sudduth, Glenn
Davis, John Lory, Vicky Hubbard, Kent Shannon,
Harlan Palm
  • Peter Scharf
  • University of Missouri

2
On the way here, I saw a lot of money laying on
the ground!!
3
Missouri Algorithm Objectives
  • Dont leave money laying on the ground
  • Supply enough N to the crop to support full yield
  • Dont apply N that the crop doesnt need
  • Dont let N escape from fields to water

4
Crop N need is variable
  • Twenty on-farm N rate experiments in Missouri,
    corn after soybean, no manure
  • Most profitable N rates were 109, 114, 175, 0,
    90, 190, 244, 63, 119, 300, 0, 146, 146, 180, 52,
    175, 112, 149, 136, 114 lb N/acre

5
Crop N need is variable Missouri
lb/ac
6
Crop N need is variable Minnesota
7
Overapplication leftover N in soil
8
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9
Spatially intensive diagnosis is needed
How?
10
Diagnosing where to put more N
11
Sensor advantages over other color measurements
  • Immediateno waiting, minimal interference from
    weather
  • Works earlier than remote sensing
  • Accuracy probably better than remote sensing
  • Manages variability better than chlorophyll meter

12
Missouri algorithm designJust an empirical
relationship
  • John Lory and I initial calibration with
    Cropscan
  • Newell Kitchen et al more recent field-scale
    calibration of Greenseeker and Crop Circle
  • Multi-state (country) data from this group

13
Missouri Algorithm Objectives, Set 2
  • Deal with spatial variability in N need
  • Support producer, retailers, consultants in
    planned sidedress operations from V6 to V16
  • Support producer, retailers, consultants in
    rescue N applications when previously applied N
    has been lost

14
Supporting producers in planned sidedress
operations using sensors
  • 26 demo fields in 2007 ( )
  • 61 demo fields 2004-2007

Nearly 30 demo fields 2008, including first
cotton field
15
Color sensors can be used for sidedressing
anhydrous
16
or sidedressing solution
17
or with a high-clearance spinner
18
with a big sprayer
19
or a big injector
20
On-farm sensor demos 2004-2007
21
On-farm sensor demos 2004-2007
22
On-farm sensor demos 2004-2007
23
On-farm sensor demos 2004-2007
24
On-farm sensor demos 2004-2007
25
On-farm sensor demos 2004-2007
26
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27
Sensor Benefits
  • Make sure enough N is applied
  • Avoid unneeded N application

28
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30
N application to head-high corn N rate map June
20, 2007
31
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32
Sensor Benefits
  • Make sure enough N is applied
  • Avoid unneeded N application

33
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35
August 1 Aerial Photo after the June 13 UAN
Application
36
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2008 Our first cotton demo
38
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