Precision Ag Insight | Optimize Returns with On-Farm Trials
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Transcript of Precision Ag Insight | Optimize Returns with On-Farm Trials
Sponsored by XSInc
Using On-farm Trials to Optimize Your Inputs
Chad Godsey, PhDPrecision Ag Insight WebinarFebruary 17, 2015
Sponsored by XSInc
Webcast Format
• You are muted.
• Please ask questions using the “Questions” box.• Click the red arrow to close/open
controls.• Click the “plus” next to “Questions” if
you don’t see the questions box.
• A recording of today’s webcast will be emailed to you.
Minimized Controls
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Speakers• Chad Godsey, PhD
Owner, Godsey Precision Ag
• Angela WalkerAgVeritas Product Manager, XSInc
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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
14%
29%
29%
21%
7%Rarely, 0-25% of the time Sometimes, 25-50% of the timeUsually, 50-75% of the time Almost always, 75+% of the timeI don't set specific objectives
How often do you/your customers meet your objectives for on-farm trials?
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3 Keys to Success• Quality over Quantity
˃ Focusing on quality in the short-term will lead to quantity over time.
˃ If we spend a little more time, we can uncover a lot more information with every trial.
• Keep It Simple• Reduce Noise
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3 Keys to Success• Quality over Quantity• Keep It Simple
˃ Keep it small and simple˃ Improve from year to year
• Reduce Noise
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3 Keys to Success• Quality over Quantity• Keep It Simple• Reduce Noise
˃ Know and manage sources of “noise”˃ Spatial variability (e.g. soils, nutrients, etc.)˃ Temporal variability (e.g. due to weather)˃ Human error
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Noise Example: Fungicide Trial
No fungicide appliedFungicide applied
• 7 bu/ac increase BUT• West half has always been 5-7 bu/ac better
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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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Registration question
40%
29%
24%
7%Collecting the data Getting a clear answer from the dataGetting the trial put out correctly I don't set specific objectives
What is your biggest challenge in achieving your objectives for on-farm trials?
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Define the question
• The first step is clearly defining a question that you want to answer.
˃ 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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Poll: Trial PlacementWhich factors do you consider when deciding on trial placement?
˃ Whatever is easiest/what the producer is willing to do
˃ Field conditions (e.g. soil types) that might affect response
˃ Variable rate practices/management zones
˃ Data collection plan/equipment widths
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4 Considerations for Trial Placement
1. Objective
2. Background information
3. Equipment and logistics
4. The “Three Rs” of on-farm trials
1. ObjectivesCheck StripsObjective: test new products or practices
˃ Obtain samples from most areas of the field
˃ Allows you to see how response varies across field
Test PlotsObjective: Refine an existing practice
˃ Take a sample from a previously defined management zone
˃ Test a change on a small area to minimize yield impact
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2. Background Information
• Avoid it˃ Unstable areas˃ Field edges
• Get a sample from it˃ Soils˃ Topography˃ Yield potential
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Using Historical Yield Data
• Why?˃ Accounts for temporal variability˃ Provides a baseline to compare treatments against ˃ Useful for problem areas (i.e. Fe deficiency)
• How?˃ Create yield potential zones
˃ Incorporate into management zones˃ Run test strips through all zones
˃ Create yield stability zones˃ Avoid and/or ignore during analysis
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3. Equipment & Logistics
• Ease of application• Width of applicator• Width of combine
Compost TrialSeeding Rate Checks
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4. The “Three Rs”
•Replicate•Randomize•Request help
A poorly planned (statistically-speaking) on-farm trial has a high risk of failure.
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Replicate
• Repeat treatments to enable the separation of treatment effects from “background noise”.• When possible, design replications to be within
relatively uniform areas (e.g. not up a hill).• Over replication can introduce noise from human or
machine error.
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Randomize
• Use when testing several things• Randomly select where each test will go • Decreases the odds that spatial variability will
influence treatment effects.˃ For example, areas of the field that are poorly drained.
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Request Help
• If research is not your vocation, then don’t be shy about requesting help from those who conduct research for a living.
˃ University researchers & Extension specialists˃ Industry researchers & agronomists˃ Crop consultants
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4 Parts of Data Collection
• Background Information• Trial Data• In-season Observations• Harvest
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Minimize harvest “noise”
• Faithfully calibrating scales or sensors.˃ This includes grain moisture sensors.
• Triple-check yield monitor settings!˃ Logging of data to card
˃ Swath width
˃ Load identification
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An Example
The QuestionIs it profitable to apply fungicide to corn at V5?
Background Information
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An Example
The QuestionIs it profitable to apply fungicide to corn at V5? Lay Out
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Thank You
Chad Godsey, PhDOwner, Godsey Precision AgPhone: 970-630-7732Email: [email protected]: godseyag.comTwitter: @godseyag
Stick around for an AgVeritas demonstration.
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AgVeritas Demo
• Web-based yield analysis tool• Uses spatial statistics to analyze yield• Analyzes all the factors that impact yield simultaneously• Planting choice / rate• Treatment choice / rate• Nutrient levels, soil types, elevation• And many more
• Determines which factors impacted yield more and less• Calculates if and where a tested management practice is
profitable
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AgVeritas DemoFungicide TrialSoil Types Elevation
The Question: Is it profitable to apply fungicide on this field?
Result of Comparison of AveragesTreated areas yield 8 bu/ac higher on average
https://agveritas.xsinc.com/AnalysisResults/Summary/323
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Thank You
Chad Godsey, PhDOwner, Godsey Precision AgPhone: 970-630-7732Email: [email protected]: godseyag.comTwitter: @godseyag
Stick around for an AgVeritas demonstration.