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Field Plots & Agricultural Research
Dr. Bob Kemerait & Dr. Eric Prostko
University of Georgia
Cooperative Extension Service
April 2001
Topics
• Demonstration plots vs replicated field trials• Importance of replications• Common experimental designs
– CRD, RCBD, Split-plot, Factorial– Small plots or large plots?
• Plot maintenance• Data analysis & “significance”• Steps for a successful trial
Demonstration Plots
• Objectives– example/information for growers– simple qualitative comparisons
• Advantages– simple to coordinate– simple to assess
• Disadvantages– not very useful for quantitative study– may oversimplify issue
Demonstration Plotsexample: rates of nitrogen on a field crop
HighNitrogen
NormalNitrogen
LowNitrogen
Replicated Field Plots
• Objectives– desire to statistically compare treatments,
varieties, etc.
• Advantages– results recognized by scientific community– results suitable for making decisions
• Disadvantages– more complicated to conduct
How many replications are enough?
• Generally, the more, the better!– increased “degrees of freedom”– easier to differentiate similar means– better assessment of variation within plot area
• But consider…………– land constraints– time constraints– material constrains – (chemical, plants, etc.)
You want how many reps???!!!!
• Minimum number varies with discipline and researcher
• Absolute minimum: 3 reps
• Foliar fungicide programs: we like to see at least 4 reps
• For soilborne diseases, including nematodes- we like 5 and even 6 reps– uneven distribution of organisms in the soil
Common Types of Experimental Design
• There is more than one type!– all of these designs are replicated
• completely randomized design– appropriate if no variation in plot area
• randomized complete block design– consider ONE source of variation in field!!
• split-plot design– two treatment levels, consider interactions
• factorial design
Split-Plot Design
Abound in-furrow
No in-furrow
Abound in-furrow
Abound in-furrow
No in-furrow
No in-furrow
Plot Maintenance
• Importance cannot be overlooked
• Uniformity in planting
• Careful calibration of spray equipment
• Fertility
• Weed control
• Insect control
• Disease control
• Field Tours & PRIDE
Data Analysis
• Statistical analysis can be tricky– consider specialists as references
• Statistical Packages/Software– SAS--------MSTAT--------ARM
• Analysis of Variance– are treatments significantly different?
• Mean Separations– which means are different? – (Fisher’s Protected LSD)
What’s so significant about “significance”?
• Frequent question
• Confusion over meaning
• agricultural standard: 95% (usually)
• “At the 95% confidence level, we can be sure that these means are different at least 95% of the time.”
Getting Started with a Field Trial
• Carefully determine your objectives
• Decide on (limited) treatments
• Develop an experimental design & plot plan
• Secure necessary equipment and materials
• Identify a conscientious cooperator
• Choose your field site CAREFULLY
• Remain safety oriented
• Keep careful notes
• Ask for help