Augmented Block Designs: Replicated and Unreplicated Treatments, Study notes of Design

Augmented block designs are an experimental design used in agriculture and scientific research to test both replicated and unreplicated treatments. Replicated treatments are tested in each block, while unreplicated treatments occur only once per block. This design offers advantages such as time and cost savings, flexibility, and critical comparisons. However, it comes with disadvantages like less precision for comparing unreplicated treatments and loss of information when data is missing. Applications include preliminary screening, demonstrations, testing extremes, and extra controls. Analysis involves using anova and orthogonal contrasts for controls and treatments, and adjusting unreplicated treatment means for block effects.

Typology: Study notes

2021/2022

Uploaded on 08/05/2022

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Augmented Blocks
Have both replicated and unreplicated treatments
Replicated treatments are tested in each block as in a RCBD
Unreplicated treatments occur in only one block - so each block has a different set of
unreplicated treatments
Advantages
1. Save time and money with smaller blocks
2. Still have critical comparisons
3. Flexible with large numbers of treatments
Disadvantages
1. Less precision for comparing unreplicated treatments
2. Missing data for unreplicated treatment means loss of all information on that
treatment
Uses
1. Preliminary screening and selection of treatments for future experiments
- variety trials
- drug screening
2. Demonstrations
3. Testing extremes of treatment combinations
4. Extra controls, eg assays
Analysis
Extra controls
1. Use regular ANOVA and orthogonal contrasts to compare controls and treatments
2. Use controls as covariate and correct treatment means based on control
measurements.
Extra unreplicated treatments
1. Perform regular ANOVA for replicated treatments
2. Adjust unreplicated treatment means for block effects
Example Experiment
replicated treatments tr = 3
blocks r = 4
unreplicated treatments per block tu = 2
(total of 8 unreplicated treatments)
pf3

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Augmented Blocks

Have both replicated and unreplicated treatments Replicated treatments are tested in each block as in a RCBD Unreplicated treatments occur in only one block - so each block has a different set of unreplicated treatments

Advantages

  1. Save time and money with smaller blocks
  2. Still have critical comparisons
  3. Flexible with large numbers of treatments

Disadvantages

  1. Less precision for comparing unreplicated treatments
  2. Missing data for unreplicated treatment means loss of all information on that treatment

Uses

  1. Preliminary screening and selection of treatments for future experiments
    • variety trials
    • drug screening
  2. Demonstrations
  3. Testing extremes of treatment combinations
  4. Extra controls, eg assays

Analysis

Extra controls

  1. Use regular ANOVA and orthogonal contrasts to compare controls and treatments
  2. Use controls as covariate and correct treatment means based on control measurements.

Extra unreplicated treatments

  1. Perform regular ANOVA for replicated treatments
  2. Adjust unreplicated treatment means for block effects

Example Experiment replicated treatments tr = 3 blocks r = 4 unreplicated treatments per block tu = 2 (total of 8 unreplicated treatments)

ANOVA for replicated treatments

Source df

Total 11

Treatment 2

Block 3

Error 6

Adjustment of unreplicated treatment means for block effect

Standard error of the difference depends on whether comparisons are for replicated or unreplicated treatments Replicated treatment means are averages for all blocks Unreplicated treatments are single observations

LSD = t.05SED df = df for MSE