Joint analysis of spatial genetic structure and inbreeding in a managed population of Scots pine

Garcia Gil, RosarioSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig genetik och växtfysiologi,Department of Forest Genetics and Plant Physiology (author)

We have investigated the fine-scale spatial genetic structure in a managed Scots pine forest. For this purpose, we perform a Bayesian genetic-cluster analysis of 96 geographically mapped individual seed trees of Swedish Scots pine based on 14 microsatellite loci. The analysis was carried out with the recently developed program GENECLUST (Francois et al., 2006), which provides the facility to jointly incorporate both spatial information from a geographical neighborhood structure through a Potts-Dirichlet model and account for variable degrees of inbreeding within the clusters. To evaluate whether inbreeding and spatial interaction should be included in the best-fitting statistical model for our data, we used the deviance information criterion (DIC), a weighted measure of model fit that accounts for an effective number of free parameters in a model. Analysis shows that a model with a single estimated cluster, with high levels of inbreeding (0.25) and with a moderate amount of spatial dependency within the unique cluster (Psi = 0.2-0.4), best explains the data. We also carried out Bayesian parentage analysis, which enabled us to exclude the possibility that the sample constitutes one single full-sib family. Heredity (2009) 103, 90-96; doi: 10.1038/hdy.2009.33; published online 22 April 2009

Waldmann, PatrikSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig genetik och växtfysiologi,Department of Forest Genetics and Plant Physiology(Swepub:slu)51661 (author)
Sveriges lantbruksuniversitetInstitutionen för skoglig genetik och växtfysiologi (creator_code:org_t)
Sveriges lantbruksuniversitet

In:Heredity: Springer Science and Business Media LLC103, s. 90-960018-067X1365-2540

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AGRICULTURAL SCIENCES: AGRICULTURAL SCI ...; and Agriculture Fore ...; and Forest Science

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