'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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Serbian Genetics Society
2008-01-01
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Online Access: | http://www.doiserbia.nb.rs/img/doi/0534-0012/2008/0534-00120803283I.pdf |
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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 |
work_keys_str_mv |
AT iveticvladan landscapeshapeinterpolationfordefiningspatialpatternofbeechgeneticdiversityinserbia AT isajevvasilije landscapeshapeinterpolationfordefiningspatialpatternofbeechgeneticdiversityinserbia AT mladenovicdrinicsnezana landscapeshapeinterpolationfordefiningspatialpatternofbeechgeneticdiversityinserbia |
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