Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level

Measures of agro-ecosystems genetic variability are essential to sustain scientific-based actions and policies tending to protect the ecosystem services they provide. To build the genetic variability datum it is necessary to deal with a large number and different types of variables. Molecular marker...

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Detalles Bibliográficos
Autores principales:	Balzarini, Mónica, Teich, Ingrid, Bruno, Cecilia, Peña, Andrea
Formato:	article Artículo publishedVersion
Lenguaje:	Inglés
Publicado:	Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias 2011
Materias:	Córdoba (Argentina) Variación genética Estadísticas agrícolas Variabilidad espacial Clustering Multivariate association Spatial variability
Acceso en línea:	http://bdigital.uncu.edu.ar/3936
Aporte de:	Biblioteca Digital de Universidad Nacional de Cuyo

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institution	Universidad Nacional de Cuyo
institution_str	I-11
repository_str	R-8
collection	Biblioteca Digital
language	Inglés
orig_language_str_mv	eng
topic	Córdoba (Argentina) Variación genética Estadísticas agrícolas Variabilidad espacial Clustering Multivariate association Spatial variability
spellingShingle	Córdoba (Argentina) Variación genética Estadísticas agrícolas Variabilidad espacial Clustering Multivariate association Spatial variability Balzarini, Mónica Teich, Ingrid Bruno, Cecilia Peña, Andrea Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
topic_facet	Córdoba (Argentina) Variación genética Estadísticas agrícolas Variabilidad espacial Clustering Multivariate association Spatial variability
description	Measures of agro-ecosystems genetic variability are essential to sustain scientific-based actions and policies tending to protect the ecosystem services they provide. To build the genetic variability datum it is necessary to deal with a large number and different types of variables. Molecular marker data is highly dimensional by nature, and frequently additional types of information are obtained, as morphological and physiological traits. This way, genetic variability studies are usually associated with the measurement of several traits on each entity. Multivariate methods are aimed at finding proximities between entities characterized by multiple traits by summarizing information in few synthetic variables. In this work we discuss and illustrate several multivariate methods used for different purposes to build the datum of genetic variability. We include methods applied in studies for exploring the spatial structure of genetic variability and the association of genetic data to other sources of information. Multivariate techniques allow the pursuit of the genetic variability datum, as a unifying notion that merges concepts of type, abundance and distribution of variability at gene level.
format	article Artículo Artículo publishedVersion
author	Balzarini, Mónica Teich, Ingrid Bruno, Cecilia Peña, Andrea
author_facet	Balzarini, Mónica Teich, Ingrid Bruno, Cecilia Peña, Andrea
author_sort	Balzarini, Mónica
title	Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
title_short	Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
title_full	Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
title_fullStr	Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
title_full_unstemmed	Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
title_sort	making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level
publisher	Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias
publishDate	2011
url	http://bdigital.uncu.edu.ar/3936
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Making genetic biodiversity measurable : a review of statistical multivariate methods to study variability at gene level

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