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

Copyright Taylor & Francis.

Bibliographische Detailangaben
Veröffentlicht in:Journal of applied statistics. - 1991. - 31(2004), 3 vom: 18., Seite 329-343
1. Verfasser: Deardon, R (VerfasserIn)
Weitere Verfasser: Gilmour, S G, Butler, N A, Phelps, K, Kennedy, R
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2004
Zugriff auf das übergeordnete Werk:Journal of applied statistics
Schlagworte:Journal Article Inter-plot interference experimental design plant pathology simulation of plant disease dispersal
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520 |a 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 
650 4 |a Journal Article 
650 4 |a Inter-plot interference 
650 4 |a experimental design 
650 4 |a plant pathology 
650 4 |a simulation of plant disease dispersal 
700 1 |a Gilmour, S G  |e verfasserin  |4 aut 
700 1 |a Butler, N A  |e verfasserin  |4 aut 
700 1 |a Phelps, K  |e verfasserin  |4 aut 
700 1 |a Kennedy, R  |e verfasserin  |4 aut 
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