. Le Compleat cladist : une introduction de procédures phylogénétique. L'analyse cladistique ; Zoologie -- Classification ; la phylogénie. ABCDEFGH. Fig. 5.16.-arbres pour la construction de stricte, Adams, et arbres consensus majoritaire (exercice 5.10). Notes et Références Chapitre 1. L'utilisation de l'EC à caractériser la quantité d'homoplasie pour un arbre donné est controversée, et d'autres indices ont été suggérées, y compris l'excès d'homoplasie ratio (Archie, 1989) et la rétention (Farris, 1989b). Voir aussi articles par Farris (1990) et Archie (1990) pour les différentes opinions au sujet de ces mesures et l'utilisation de l'EC.

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. The Compleat cladist : a primer of phylogenetic procedures. Cladistic analysis; Zoology -- Classification; Phylogeny. ABCDEFGH. Fig. 5.16.—Trees for construction of strict, Adams, and majority consensus trees (Exercise 5.10). Chapter Notes and References 1. The use of CI to characterize the amount of homoplasy for a particular tree is controversial, and other indices have been suggested, including the homoplasy excess ratio (Archie, 1989) and the retention index (Farris 1989b). See also papers by Farris (1990) and Archie (1990) for various opinions regarding these measures and the use of CI. 2. Nelson (1979) is often credited as the source for strict consensus trees. However, he really described component analysis, which possesses qualities of clique analysis (Page, 1987, 1988, 1989). The resulting trees may fit the description of either strict or majority rule consensus trees or no particular consensus tree at all, depending on the number of trees involved. The use of consensus trees of all types has increased in the last few years, probably because they offer what appears to be a simple solution to the difficult problems associated with choosing among several equally parsimonious trees. However, we feel that consensus trees solve no such problems and their use in this manner has the effect of avoiding the difficult problems associated with equally parsimonious trees. Having many equally parsimonious trees may be the result of insufficient study (a lack of sufficient data) or chaotic evolution in the particular data sets studied, reflecting a complex history of reticulation or homoplastic evolution. You should be extremely careful when using consensus trees to investigate specific questions or to organize your data. A consensus tree. Please note that these images are extracted from scanned page images that may have been digitally enhanced for readability - coloration and appearance of these illustrations may not perfectly resemble the original work.. Wiley, E.

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