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| Content Provider | Springer Nature Link |
|---|---|
| Author | Carrasquinho, Isabel Freire, João Rodrigues, Abel Tomé, Margarida |
| Copyright Year | 2010 |
| Abstract | • Multivariate statistical analysis was used to define different developmental stages for stone pine (Pinus pinea L.) considering tree size and cone production, without site-specific information. • This was achieved in two steps. First, trees from permanent plots were classified using cluster analysis in five different stages. Second, discriminant analysis was applied to confirm the robustness of the groups generated by cluster analysis and to allow the assignment of new stone pine trees to one of the five development stages. Each development stage was associated with an average cone production. • A methodology for selecting candidates for plus trees was suggested. Trees belonging to the 90th quartile or higher for the number of cones per crop and for cone crop weight were identified throughout the three years of the study. • Trees were evaluated as potential candidates for plus trees using the following variables: the number of cones, cone crop weight and relative production capacity. The relative production capacity was defined as the cone crop weight per square meter of the crown area. |
| Starting Page | 814 |
| Ending Page | 814 |
| Page Count | 1 |
| File Format | |
| ISSN | 12864560 |
| Journal | Annals of Forest Science |
| Volume Number | 67 |
| Issue Number | 8 |
| e-ISSN | 1297966X |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2010-01-01 |
| Publisher Institution | Institut National de la Recherche Agronomique (INRA) |
| Publisher Place | Dordrecht |
| Access Restriction | Subscribed |
| Subject Keyword | Pinus pinea L. discriminant analysis cluster analysis plus trees cone production Forestry Wood Science & Technology Forestry Management Tree Biology Environment |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ecology Forestry |
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