Winboot: A program for performingbootstrap analysis for binary data to determine the confidence limitsof UPGMA-based dendrograms
The cophenetic values were calculated to test the goodness of fit between the clusters in the dendrograms
and the similarity index matrix.
6 by using Pearson correlation coefficients to determine genetic similarities and the unweighted pair group method with arithmetic mean to create dendrograms
The lower Fraser River branch includes Harrison River and Chilliwack and is supported in 96% of the dendrograms
Again, two distinct populations-human and bovine-appeared on the dendrograms
of upland river basins on the basis of their minnow and their darter faunas were very similar to the dendrogram
for "all species" [ILLUSTRATION FOR FIGURE 2 OMITTED].
were generated by the Unweighted Pair Group Method with Arithmetic Average (UPGMA) (Sneath and Sokal, 1973).
Through UPGMA group analysis, using the Smouse and Peakall (1999) and Kosman and Leonard (2005) coefficients as well as the weighted index, all dendrograms
differentiated the germplasm bank accessions (BAG1, BAG2, BAG3 and BAG4) as well as the 'Cariflora' genotype from the other inbred lines (52B[C.
were obtained using the SAHN clustering routine of NTSYS-pc (Rohlf, 2004).
It is evident from the dendrogram
that 1) there is a clear subdivision in both within-populations dendrograms
that distinguishes the populations inhabiting the upper Gulf (hence, it is not only the previously discussed characteristic of heterozygote deficiency that segregates these populations from the rest, but the distribution of their genes too) and 2) a subdivision between species where the degree of genetic similarity is similar to those previously reported in other penaeid species.
The three dendrograms
established showed similar clustering, where all studied species were clustered into two main branches.
To estimate phylogenetic relationships among the lines, distances were calculated and dendrograms
constructed for morphological and/or phenological and molecular characteristics by the complete clustering method.