Selection of Pinus pinea L. plus tree candidates for cone production
Author(s) -
Isabel Carrasquinho,
João M. Freire,
Abel Rodrigues,
Margarida Tomé
Publication year - 2010
Publication title -
annals of forest science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.763
H-Index - 77
eISSN - 1297-966X
pISSN - 1286-4560
DOI - 10.1051/forest/2010050
Subject(s) - pinus <genus> , selection (genetic algorithm) , forestry , silviculture , tree (set theory) , cone (formal languages) , botany , woody plant , mathematics , agroforestry , biology , geography , computer science , combinatorics , artificial intelligence , algorithm
International audienceMultivariate 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
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