- Original Article
- Published:
Selection of Pinus pinea L. plus tree candidates for cone production
Annals of Forest Science volume 67, page 814 (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.
References
Alpuim M., Baeta J., Carneiro M.M., Carvalho M.A., Rocha M.E., and Pessoa, J., 2000. Classification of stone pine selected by pine kernels production, IUFRO International Meeting, Maio, Sevilha.
Akindele S.O. and LeMay V.M., 2006. Development of tree volume equations for common timber species in the tropical rain forest area of Nigeria. For. Ecol. Manage. 226: 41–48.
Barreira and Alpuim, 1988. Contribuição para um programa de melhoramento de Pinheiro manso (Pinus pinea L.), Encontro sobre o Pinheiro manso organizado pela Sociedade Portuguesa de Ciências Florestais, de 25–26 de Novembro 1988 em Alcácer do Sal.
Cardoso M.M. and Lobo P.A., 2001. Delimitação de pisos bioclimáticos e regiões de proveniência de Pinheiro manso em Portugal, usando sistemas de informação geográfica, Silva Lusitana 9: 93–108.
Carneiro A.N., 2005. Ganhos genéticos na selecção de características biométricas das pinhas e semente de Pinheiro manso, V Congresso Florestal Nacional, organizado pela Sociedade Portuguesa de Ciências Florestais, 16–19 de Maio 2005 em Viseu.
DGRF, 2006. Resultados Preliminares do Inventário Florestal Nacional 2005–2006, Apresentação realizada na Torre do Tombo, em Março 2008, Direcção Geral dos Recursos Florestais, Lisboa.
Finegan B., Camacho M., and Zamora N., 1999. Diameter increment patterns among 106 tree species in a logged and silviculturally treated Costa Rica rain forest. For. Ecol. Manage. 121: 159–176.
Gordo F.J., 2004. Selección de grandes productores de fruto de Pinus pinea L. en la Meseta Norte, Tesis Doctoral, Escuela Técnica Superior de Ingenieros de Montes, Universidad Politécnica de Madrid.
Huang J.Y., Guo X.P., Qiu Y.B., and Chen Z.Y., 2007. Cluster and discriminant analysis of electrochemical noise dta. Electrochimica, Acta 53: 680–687.
Huberty C.J., 1994. Applied Discrinimant Analysis, John Wiley & Sons, Inc., New York, 466 p.
Mutke S., Gordo J., and Gil L., 2005a. Cone yield characterization of a stone pine (Pinus pinea L.) clone bank. Silvae Genet. 54: 189–197.
Mutke S., Gordo J., and Gil L., 2005b. Variability of Mediterranean stone pine cone production: yield loss as response to climate change. Agric. For. Meteorol. 132: 263–272.
Owens J.N., 2006. The reproductive biology of lodgepole pine, FGC extension note 07, ISBN: 0-7726-5342-9, 62 p.
Owens J.N. and Fernando D.D., 2007. Pollination and seed production on western white pine (Pinus albicaulis Engelm.) seed production in natural stands. Can. J. For. Res. 37: 260–275.
Owens J.N., Kittirat T., and Malalovich M.F., 2008. Whitebark pine (Pinus albicaulis Engelm.) seed production in natural stands. For. Ecol. Manage. 255: 803–809.
Phillips P.D., Yasman I., Brash T.E., and van Gardingen P.R., 2002. Grouping tree species for analysis of forest data in Kalimantan (Indonesian Borneo). For. Ecol. Manage. 157: 205–216.
SAS Institute Inc., 1999. SAS/STAT® User’s Guide, Version 8, Cary NC, 3884 p.
Schulz H. and Härtling S., 2003. Vitality analysis of Scots pines using a multivariate approach. For. Ecol. Manage. 186: 73–84.
Thompson M.E., 1999. The Science and Art of Market Segmentation Using PROC FASTCLUS, Proceedings of the 24th Annual Conference SAS User’s Group International, 11–14 April, Miami Beach, Florida, No. 270.
Zobel B. and Talbert J., 1984. Applied forest tree improvement, John Wiley & Sons, New York, 505 p.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Carrasquinho, I., Freire, J., Rodrigues, A. et al. Selection of Pinus pinea L. plus tree candidates for cone production. Ann. For. Sci. 67, 814 (2010). https://doi.org/10.1051/forest/2010050
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1051/forest/2010050