SciELO - Scientific Electronic Library Online

 
vol.31 issue1Germination of Albizia hassleri seeds at different temperatures, under laboratory conditionsDeforestation in temperate ecosystems of pre-Andean range of south-central Chile author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Bosque (Valdivia)

On-line version ISSN 0717-9200

Abstract

GUTIERREZ VAZQUEZ, Benito Natalio et al. Converting a progeny test of Pinus greggii var. greggii into a seed orchard based on Eigenanalysis. Bosque (Valdivia) [online]. 2010, vol.31, n.1, pp.45-52. ISSN 0717-9200.  http://dx.doi.org/10.4067/S0717-92002010000100006.

The study was conducted on a progeny test of Pinus greggii var. greggii established at Los Tarihuanes, Arteaga, Coahuila, Mexico. The objective was to convert a progeny test of Pinus greggii var. greggii into a seed orchard by simulating a silvo-genetic thinning and a tree selection through a selection index based on a principal components (CP) analysis. The selection index method based on the Eigenanalysis (i.e., principal components) allowed the selection of the best seed trees. The variables used for the construction of the selection index (basal diameter, normal diameter, volume of Pressler, total height, canopy diameter, and diameter of branches) explained 80.5% out of the total variance. The application of low and geometric thinning simulations with the Software Stand Visualization System (SVS) allowed the design of the seed orchard. The use of the SVS facilitated the design of the area as well as the visualization of the spatial distribution for each tree. Trees density in the seed orchard is within the range of densities used in other related studies.

Keywords : Pinus greggii; principal component; index of selection; seed orchard.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License