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Revista Colombiana de Ciencias Pecuarias

Print version ISSN 0120-0690
On-line version ISSN 2256-2958


RESTREPO, Luis F; L POSADA, Sandra  and  R NOGUERA, Ricardo. Application of the principal-component analysis in the evaluation of three grass varieties. Rev Colom Cienc Pecua [online]. 2012, vol.25, n.2, pp.258-266. ISSN 0120-0690.

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

Keywords : dimensionality; eigenvalue; factor; grass growth.

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