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A Method for Ascertaining and Controlling Representation Bias in Field Trials for Airborne Plant Pathogens

Author

Listed:
  • R. Deardon
  • S. G. Gilmour
  • N. A. Butler
  • K. Phelps
  • R. Kennedy

Abstract

The basic premise of running a field trial is that the estimates of treatment effects obtained are representative of how the different treatments will perform in the field. The disparities between the treatment effects observed experimentally, and those that would be observed were the treatments applied to the field, we term 'representation bias.' When looking at field trials testing the efficacies of treatment sprays on plant pathogens, representation bias can be caused by positive and negative inter-plot interference. The potential for such effects will be greatest when looking at pathogens that are dispersed by wind. In this paper, a computer simulation that simulates plant disease dispersal under such conditions is described. This program is used to quantify the amount of representation bias occurring in various experimental situations. Through this, the relationships between field design parameters and representation bias are explored, and the importance of plot dimension and spacing, as well as treatment to plot allocation, emphasized.

Suggested Citation

  • R. Deardon & S. G. Gilmour & N. A. Butler & K. Phelps & R. Kennedy, 2004. "A Method for Ascertaining and Controlling Representation Bias in Field Trials for Airborne Plant Pathogens," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(3), pages 329-343.
    • Handle: RePEc:taf:japsta:v:31:y:2004:i:3:p:329-343
    DOI: 10.1080/0266476042000184073
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