Please use this identifier to cite or link to this item:
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Miškotyra / Forestry (A004)
Author(s): Kerpauskaitė, Vilma;Danusevičius, Darius;Kavaliauskas, Darius;Fussi, Barbara;Konnert, Monika;Baliuckas, Virgilijus;Augustaitis, Algirdas
Title: A Methodological Approach for Assessment of the Spatial Genetic Structure Within Scots Pine Stands Based on DNA Markers
Is part of: Rural development 2013 : the sixth international scientific conference, 28-29 November, 2013, Akademija : proceedings. Akademija : Aleksandras Stulginskis University, Vol. 6, b. 3 (2013)
Extent: p. 324-331
Date: 2013
Keywords: Bayesian;Genetic diversity;Non-parametric genetic tests;Pinus sylvestris;Spatial statistics
Abstract: The objective of our study was to test the suitability of several main spatial analysis methods to detect spatial genetic structure in Scots pine stands. We used a sub-set of 47 trees representing a sub-plot of 0.5 ha within a large sample plot selected within a 200-year-old Scots pine stand of natural origin in Punia in central Lithuania. We used 11 nSSR loci to estimate the genetic distance between the 47 trees. The analysis included: PCA, the Mantel test, spatial autocorrelation tests and Bayesian clustering. The results of this pilot study indicate that for well spatially uniform clusters, spatial autocorrelation and Mantel tests may detect the spatial structure, but for highly overlapping structures we suggest Bayesian clustering. Regarding the spatial structure with the subplot of 47 trees selected for this study, 9 highly overlapping clusters were obtained with Bayesian clustering. Our preliminary conclusion is that the spatial genetic structure in natural Scots pine stands is complex and there is an indication of highly intermixed structures, probably a consequence of multiple establishment events
Affiliation(s): Vytauto Didžiojo universitetas
Žemės ūkio akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml7.97 kBXMLView/Open

MARC21 XML metadata

Show full item record
Export via OAI-PMH Interface in XML Formats
Export to Other Non-XML Formats

Page view(s)

checked on Feb 10, 2020


checked on Feb 10, 2020

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.