Ordenaciones de material genético a partir de información multidimensional
New biotechnologies allow to obtain information for genetic characterization from multiple molecular and/or morphological markers. The ordination of genetic material through the exploration of variability patterns is addressed by multivariate methods. Dimension reduction techniques (DRT) and g...
Guardado en:
| Publicado en: | Revista de la Facultad de Ciencias Agrarias |
|---|---|
| Autores principales: | , |
| Materias: | |
| Acceso en línea: | https://bdigital.uncu.edu.ar/fichas.php?idobjeto=6523 |
| Sumario: | New biotechnologies allow to obtain information
for genetic characterization from multiple
molecular and/or morphological markers.
The ordination of genetic material through the
exploration of variability patterns is addressed
by multivariate methods. Dimension reduction
techniques (DRT) and graphic representation
are crucial to visualize multivariate data in lowdimensional
spaces since it facilitate the understanding
of relationships among individuals
and/or markers. The principal component
analysis, the multidimensional scaling and
generalized procrustes analysis are dimension
reduction techniques applicable to data from
molecular and/or morphological markers.
The minimum spanning trees and the biplots
are techniques that allow geometrical representations
of results from DRT. This paper
describes such techniques and its applications
are illustrated on a dataset with molecular and
morphological markers characterizing fungus
genetic material. |
|---|
