improve insights by aggregating on farm trial data
TRANSCRIPT
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Improve Insights by Aggregating On-farm Trial Data
Precision Ag Insight Webinar
June 27, 2016
Sponsored by XSInc
Webcast Format
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• A recording of today’s webcast will be emailed to you.
Minimized Controls
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Speakers
PresenterDr. Chad GodseyOwner, Godsey Precision Ag
HostBen GistBusiness Development Analyst, XS Inc
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On-farm Research Is Important
• Answer questions important to growers˃ New products
˃ Precision ag practices
• Increase grower profitability
• Compliance, stewardship and sustainability
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Registration Question
• Which best describes how you have considered using aggregate results from on-farm trials?
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Results –Using On-Farm Trials
30%
10%
40%
20%
Have not considered
To account for varying field characteristics that influence site specific recommendations
To discover if a product works overall across the tested acreage
To draw conclusions for other producers/other fields
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3 Keys to Success
• Quality over Quantity
• Keep It Simple
• Reduce Noise
˃ You can never be 100% certain that yield differences in a trial are solely due to the treatments being evaluated.
˃ But you can manage sources of noise with good planning and analysis.
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Define the question
• The first step is clearly defining a question that you want to answer with aggregate analysis.
˃ Is Product A better than Product B?
˃ If I increase or decrease the application rate of this
product by 10% in each management zone, how much
will my yield increase or decrease?
• Consider other factors that may influence trial outcome
˃ Management practices
˃ Hybrid or varietal differences
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4 Considerations for Layout
1. Objective
2. Background information
3. Equipment and logistics
4. The “Three Rs” of on-farm trials
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Using Productivity Zones
• Why?˃ Accounts for temporal variability˃ Provides a baseline to compare treatments against
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Data Considerations for Aggregate Analysis• Standardization
• Most important part of on-farm trials. Makes or breaks a study!
• If a data layer appears to be important it needs to be collected on all fields
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The Why and When of Aggregate Analysis
• Why
• Aggregation enables the results of multiple single field on-farm trials where the same product or practice is being tested, to form broader conclusions from the insights of each individual trial.
• CONFIDENCE!!!
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Aggregate Analysis
• Knowing what to aggregate can be even more important
• Product A versus B
• What is the level of aggregation?
• Farm vs. Region
• Are you trying to answer a specific question for a specific farm?
• Seeding Rate Seeding Rate Checks
Compost Trial
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Registration question• Do you see a problem with aggregating data
across multiple producers?
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Aggregate Example – Fungicide trials
Fungicide Trial
Soil Types Elevation
- 2 corn fields in Ohio- Analyzing 3 known factors:
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What is AgVeritas?• Web-based yield analysis tool
• Analyzes all the factors that impact yield at the same time Planting choice / rate
Treatment choice / rate
Nutrient levels, soil types, elevation
Or any factor for which you have data
• Uses spatial statistics to detect and account for unidentified factors affecting yield
• Determines which factors impacted yield more and less
• Guides user to profitable adjustments in practices
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Aggregate Analysis Approach
• Start with more precision, end with more precision
• Removes spatial effect areas
• Based on each field’s unique “model”
• Examines the specific conditions under which different responses are seen down to a individual yield point level
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Aggregate Example – Fungicide trials
Fungicide Trial
Soil Types Elevation
- 2 corn fields in Ohio- Analyzing 3 known factors:
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Thank You
Chad Godsey, PhD
Owner, Godsey Precision Ag
Phone: 970-630-7732
Email: [email protected]
Web: godseyag.com
Twitter: @godseyag