Actinomycetes, Vol. 5, Part 1, 1-8, 1994
The use of statistical models to predict the effects of pretreatments on
the total viable counts of actinomycetes isolated from soils
P. F. LONG, H. G. WILDMAN and G. E. AMPHLETT
Code Number: AC94001
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ABSTRACT. Current estimates show that there is a large pool of
untapped microorganisms in the soil that could potentially be
isolated for natural product screening. We have reassessed a
number of methods commonly used for the isolation of
actinomycetes using fixed and random effects statistical
models. The use of fixed effects models may lead to erroneous
predictions of treatment effects if they are generalised to
all samples. It is recommended that a full factorial
experiment is designed and a random effects analysis used when
assessing new treatments or media for the isolation of
microorganisms. Once trends from a full factorial experiment
are established, a smaller experiment taking into account the
factors investigated in the larger experiment can be designed
to examine changes as a result of a treatment.
Copyright 1994 C. E. T. A.
