Title: Conducting Field Scale Research with Precision Agriculture Tools
1Conducting Field Scale Research with Precision
Agriculture Tools
2Why Field Scale Research?
- Includes production factors and limitations
- Greater credibility for results
- Provides information about specific situations
3What does Prec. Ag. Provide?
- Ease of implementing treatments with variable
rate equipment - Yield mapping provides data that can be selected
to match treatments - Ability to analyze areas, not just complete passes
4Types of Field Scale Research
- Producer optimization
- Regional performance demonstrations
- Scientific investigations
Each of the above can be enhanced by including
spatial information.
5Field Scale Research
Geo-referenced data collection systems on
production equipment provides the ability to
investigate alternative management strategies
under a producers land and enterprise
constraints.
6Producer Optimization
- Variety comparisons - few
- Variable vs. uniform rates of fertilizers
- Seed treatments
- Pre-emerge treatments
Generally implemented using strip trials that
cross a field.
7Regional Demonstrations
- Variety comparisons - many
- Variable vs. uniform rates
Generally implemented using strip trials that
cross a field.
8Scientific Investigations
- Validation of plot results
- Incorporation of local traits into experimental
design - VRT equipment allows small plot studies within
large field
9Implementing Strip Trials
- Identify direction of dominant field properties
- Orient strips across dominant properties
- Match application and harvesting equipment widths
10Figure from http//www.pioneer.com/usa/technology
/presup.htm
11Implementing Strip Trials
- Include as many strips as possible, but at least
six in a field - Include multiple fields if possible
- Include varying conditions (i.e., well and poorly
drained soils, hilltop, slope and bottom, etc.)
12Implementing Strip Trials
- Limit the number of treatments to include
sufficient replication - Note any unique conditions during growing season
that would affect yield (weed patches, disease,
insects, etc.)
13Harvesting Strip Trials
- Identify each treatment individually in recorded
data, if possible (load numbers) - Harvest adjacent treatments in the same direction
- Record yield at one sec. interval
14Yield mapped data is not random! Mixing of grain
during harvest makes neighboring data correlated,
and requires more replications to detect a real
difference between treatments.
15Field Scale Research Examples
16(No Transcript)
17Cypress Seeding Rate - Balas
Levees
18Cypress Seeding Rate - Balas
Seeding Rate (lbs/ac)
90 70 65 50
19Drew Seeding Rate - Garrett
Levees
20Drew Seeding Rate - Garrett
Seeding Rate (lbs/ac)
Producers rate 120 100 80 60 40
21Strip Trial Analysis
- Yield map difference by treatment
- Create map for each treatment
- Create yield difference map
- Examine for consistent bias and patterns related
to field conditions
22Strip Trial Analysis
- Paired comparisons of adjacent yield
- Select random locations for comparison (field or
subfield) - Extract yield over small area (3-5 m radius),
calculate difference - Use T-test to determine significant difference
23Scientific Investigations
- Use field characteristics to select regions for
replication (similar to blocks) - VRT equipment can create replicated plot areas in
large field with consistent treatment
24Statistical Analysis
- Try to simplify during experimental design
- Statistical analysis resource http//yolo.usda-ars
.orst.edu/steep/AgStatsweb/
25References
- Creating Yield Difference Maps from Split-Planter
Fields - http//www.pioneer.com/usa/technology/
yield_difference_maps.htm - Setting Up Side X Side Comparisons With A Yield
Monitor - http//www.pioneer.com/usa/technology
/i970411.htm - The Pioneer Split-Planter Comparison Method
-http//www.pioneer.com/usa/technology/presup.htm - Yield Monitor Calibration Update and Guidelines
for Collecting Pioneer Strip Trial Data -
http//www.pioneer.com/usa/technology/
yield_monitor_calibration_99.htm - PPI Site-Specific Management Guidelines 17 18