In biology, phenetics (/fɪˈnɛtɪks/; from Ancient Greek φαίνειν (phainein) 'to appear'), also known as taximetrics, is an attempt to classify organisms based on overall similarity, usually with respect to morphology or other observable traits, regardless of their phylogeny or evolutionary relation. It is related closely to numerical taxonomy which is concerned with the use of numerical methods for taxonomic classification. Many people contributed to the development of phenetics, but the most influential were Peter Sneath and Robert R. Sokal. Their books are still primary references for this sub-discipline, although now out of print.[1]
Phenetics has been largely superseded by cladistics for research into evolutionary relationships among species. However, certain phenetic methods, such as neighbor-joining, are used for phylogenetics, as a reasonable approximation of phylogeny when more advanced methods (such as Bayesian inference) are too expensive computationally.
Phenetic techniques include various forms of clustering and ordination. These are sophisticated methods of reducing the variation displayed by organisms to a manageable degree. In practice this means measuring dozens of variables, and then presenting them as two- or three-dimensional graphs. Much of the technical challenge of phenetics concerns balancing the loss of information due to such a reduction against the ease of interpreting the resulting graphs.
The method can be traced back to 1763 and Michel Adanson (in his Familles des plantes) because of two shared basic principles – overall similarity and equal weighting – and modern pheneticists are sometimes termed neo-Adansonians.[2]