Genetic diversity estimates of Pinus pinaster in the Iberian Peninsula: a comparison of allozymes and quantitative traits

  • S. C. González Martínez Universidad Politécnica de Madrid, Madrid
  • L. Gil Universidad Politécnica de Madrid, Madrid
  • R. Alia CIFOR-INIA
Keywords: molecular markers, common garden experiments, genetic variation, maritime pine, Mediterranean Basin

Abstract

The estimation of genetic diversity using molecular markers is a major component of genetic conservation programs. However, molecular data are only weakly correlated with adaptive variation, which seriously limits the value of molecular information for guiding conservation policies. In this paper, we used allozyme markers to analyse the distribution of gene diversity in the native range of Pinus pinaster Ait. in the Iberian Peninsula, including seven marginal populations close to the Mediterranean Basin. Then, the variability of three quantitative traits (total height, stem form and survival) was computed using data from a multisite provenance test in central Spain and the two data sets were compared. Within the general pattern of variation, marginal populations presented levels of diversity closely related to those of nearby central populations, clearly suggesting that historical factors were more important than actual population sizes in determining levels of observed diversity. A weak but nevertheless significant correlation between allozymes and quantitative variability was found in maritime pine. Environmental gradients, as measured by geographic variables, are suggested to have selective effects on quantitative traits and to influence effective population size, which might explain the weak correlation found between allozyme and adaptive variability.

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Published
2005-04-01
How to Cite
González Martínez, S. C., Gil, L., & Alia, R. (2005). Genetic diversity estimates of Pinus pinaster in the Iberian Peninsula: a comparison of allozymes and quantitative traits. Forest Systems, 14(1), 3-12. https://doi.org/10.5424/srf/2005141-00869
Section
Research Articles

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