'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia

Knowledge about spatial distribution of genetic diversity is very important for foresters in order to make right decisions during establishing of management plans for conservation, afforestation or reforestation. Advanced molecular technologies provide us with efficiently measured genetic informatio...

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Main Authors: Ivetić Vladan, Isajev Vasilije, Mladenović-Drinić Snežana
Format: Article
Language:English
Published: Serbian Genetics Society 2008-01-01
Series:Genetika
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0534-0012/2008/0534-00120803283I.pdf
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spelling doaj-e810ed50995f4d0aaf0ee9db8a91c84e2020-11-24T21:04:34ZengSerbian Genetics SocietyGenetika0534-00122008-01-0140328329210.2298/GENSR0803283I'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in SerbiaIvetić VladanIsajev VasilijeMladenović-Drinić SnežanaKnowledge about spatial distribution of genetic diversity is very important for foresters in order to make right decisions during establishing of management plans for conservation, afforestation or reforestation. Advanced molecular technologies provide us with efficiently measured genetic information's which can be analyzed powerful statistical tools. Landscape Shape Interpolation analysis was applied on protein based marker data sets from six natural populations of Balkan beech. Results indicate existence of three genetically distinct groups: 1) Djerdap, Kopaonik, Zubin potok and Ivanjica; 2) Bor and 3) Pirot. These results were compared with results of UPGMA clustering of sampled population based on NEI original distances, Principal Coordinate Analysis and Monmonier's Maximum Difference Algorithm Analysis. Landscape Shape Interpolation analysis represent a powerful tool in spatial genetic diversity research. Combining of Landscape Shape Interpolation analysis results with digitalized maps of investigated area in some of numerous GIS applications will for certainly improve visualization of results and provide better understanding of causal factors of genetic diversity. http://www.doiserbia.nb.rs/img/doi/0534-0012/2008/0534-00120803283I.pdfbeechinterpolationspatial genetic diversity
collection DOAJ
language English
format Article
sources DOAJ
author Ivetić Vladan
Isajev Vasilije
Mladenović-Drinić Snežana
spellingShingle Ivetić Vladan
Isajev Vasilije
Mladenović-Drinić Snežana
'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia
Genetika
beech
interpolation
spatial genetic diversity
author_facet Ivetić Vladan
Isajev Vasilije
Mladenović-Drinić Snežana
author_sort Ivetić Vladan
title 'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia
title_short 'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia
title_full 'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia
title_fullStr 'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia
title_full_unstemmed 'Landscape shape interpolation' for defining spatial pattern of beech genetic diversity in Serbia
title_sort 'landscape shape interpolation' for defining spatial pattern of beech genetic diversity in serbia
publisher Serbian Genetics Society
series Genetika
issn 0534-0012
publishDate 2008-01-01
description Knowledge about spatial distribution of genetic diversity is very important for foresters in order to make right decisions during establishing of management plans for conservation, afforestation or reforestation. Advanced molecular technologies provide us with efficiently measured genetic information's which can be analyzed powerful statistical tools. Landscape Shape Interpolation analysis was applied on protein based marker data sets from six natural populations of Balkan beech. Results indicate existence of three genetically distinct groups: 1) Djerdap, Kopaonik, Zubin potok and Ivanjica; 2) Bor and 3) Pirot. These results were compared with results of UPGMA clustering of sampled population based on NEI original distances, Principal Coordinate Analysis and Monmonier's Maximum Difference Algorithm Analysis. Landscape Shape Interpolation analysis represent a powerful tool in spatial genetic diversity research. Combining of Landscape Shape Interpolation analysis results with digitalized maps of investigated area in some of numerous GIS applications will for certainly improve visualization of results and provide better understanding of causal factors of genetic diversity.
topic beech
interpolation
spatial genetic diversity
url http://www.doiserbia.nb.rs/img/doi/0534-0012/2008/0534-00120803283I.pdf
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