Our primary presentation of the results used Jaccard's coefficient of similarity, by far the most widely used index in biogeography studies7, and Group Average linkage clustering methods.
Based on the cluster analysis of Listeria spp. strains, obtained from international collections, the coefficient of similarity was selected.
Accessions clustered into three distinct groups, at a 0.67 coefficient of similarity, with no correlation to geographical origins.
Also primer M13 gave positive results, but the coefficient of similarity to use had to be increased to 80%.
STMS analysis with these primers also revealed a very high level of variation between six Vigna species, which clustered into three groups at a 0.5 coefficient of similarity.
If two areas are being compared, the coefficient of similarity, s, is determined by dividing the number of taxa shared between the areas, c, by the sum of c and the number of taxa peculiar to each area alone, a and b.
Similarities of regions can be quantified using Jaccard's coefficient of biotic similarity, which is determined by the equation: If two areas are being compared, the coefficient of similarity, s, is determined by dividing the number of taxa shared between the areas, c, by the sum of c and the number of taxa peculiar to each area alone, a and b.
Coefficient of similarity.
Fig. 4 Average clustering coefficient of similarity networks in the function of the similarity threshold.
The coefficient of similarity and subsequently ranking of alternatives have been calculated by using Eq. 29.
