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Natural variation in baseline data: when do we call a new sample ‘resistant’?
Author(s) -
Schaub Lukas,
Sardy Sylvain,
Capkun Gorana
Publication year - 2002
Publication title -
pest management science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.296
H-Index - 125
eISSN - 1526-4998
pISSN - 1526-498X
DOI - 10.1002/ps.561
Subject(s) - statistics , population , biology , bootstrapping (finance) , variation (astronomy) , mathematics , econometrics , demography , physics , astrophysics , sociology
Mortality of pear psylla to amitraz was studied by means of bioassays. Variation between samples, temporal variation within the season in one orchard and spatial variation between Swiss regions were considered. Variation between samples was large enough to produce different Probit functions and LC 50 values. Temporal and spatial variations were too small to indicate resistance. Prediction intervals of the pooled functions using bootstrapping were calculated to determine if future samples come from a population with decreased sensitivity. Probabilistic criteria on the population level were proposed for resistance. © 2002 Society of Chemical Industry