Microsatellite markers in genetic analysis of selected populations of greylag goose (Anser anser L.) in the Czech Republic and the Slovak Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F19%3A43917066" target="_blank" >RIV/62156489:43210/19:43917066 - isvavai.cz</a>
Result on the web
<a href="https://mnet.mendelu.cz/mendelnet2019/mnet_2019_full.pdf" target="_blank" >https://mnet.mendelu.cz/mendelnet2019/mnet_2019_full.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Microsatellite markers in genetic analysis of selected populations of greylag goose (Anser anser L.) in the Czech Republic and the Slovak Republic
Original language description
The greylag goose is a nesting bird species of the Czech Republic and the Slovak Republic makes few divided nesting populations. By the morphological differences, the greylag goose bird species has been divided into three subspecies. This pilot study aimed to determine the genetic structure of this species using variability in microsatellite loci, with the main focus on populations in the Czech Republic and the Slovak Republic with a future goal to determine how the geese populations mix. We used microsatellites from feathers of 27 bird individuals collected from 8 different nesting areas. The basic parameters of genetic variability were determined, the overall observed heterozygosity was 0.42 and polymorphic information content 0.52. The genotypic analysis revealed that an optimized panel of 6 microsatellites is suitable for studying diversity in this population
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10615 - Ornithology
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MendelNet 2019: Proceedings of International PhD Students Conference
ISBN
978-80-7509-688-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
265-268
Publisher name
Mendelova univerzita v Brně
Place of publication
Brno
Event location
Brno
Event date
Nov 6, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000576735500048