Aplicación del análisis por componentes principales en la evaluación de tres variedades de pasto

Objective: demonstrate how to use the principal-component analysis to reduce dimensionality in assessing three varieties of Ryegrass (Lolium sp. L.), namely, tetraploid hybrid (Foster), annual diploid (Southern Star), and annual tetraploid (Beefbuilder). Both the statistical properties and programmi...

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Autores:
Restrepo Bentancur, Luis Fernando
Posada Ochoa, Sandra Lucía
Noguera Rosero, Jaime Ricardo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2012
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/47189
Acceso en línea:
https://hdl.handle.net/10495/47189
Palabra clave:
Pastos
Grasses
Crecimiento (plantas)
Growth (plants)
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description
Summary:Objective: demonstrate how to use the principal-component analysis to reduce dimensionality in assessing three varieties of Ryegrass (Lolium sp. L.), namely, tetraploid hybrid (Foster), annual diploid (Southern Star), and annual tetraploid (Beefbuilder). Both the statistical properties and programming using the SAS statistical package are also highlighted. Results: The variables that defined the main factor for the three grass varieties were: height from the floor, middle width of the fully elongated last leaf, and biomass.