Making genetic biodiversity measurable \n : a review of statistical multivariate methods to study variability at gene level
Year: 2011
Type: article
Abstract: Measures of agro-ecosystems genetic variability are essential to sustain scientific-based\nactions and policies tending to protect the ecosystem services they provide. To build the genetic\nvariability datum it is necessary to deal with a large number and different types of variables.\nMolecular marker data is highly dimensional by nature, and frequently additional types of\ninformation are obtained, as morphological and physiological traits. This way, genetic variability\nstudies are usually associated with the measurement of several traits on each entity. Multivariate\nmethods are aimed at finding proximities between entities characterized by multiple traits by\nsummarizing information in few synthetic variables.\nIn this work we discuss and illustrate several multivariate methods used for different\npurposes to build the datum of genetic variability. We include methods applied in studies for\nexploring the spatial structure of genetic variability and the association of genetic data to\nother sources of information. Multivariate techniques allow the pursuit of the genetic variability\ndatum, as a unifying notion that merges concepts of type, abundance and distribution of\nvariability at gene level.\n
Authors: Balzarini, Mónica, Teich, Ingrid, Bruno, Cecilia, Peña, Andrea
Language: English
Subfield: Genetics
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W6992586621