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Genetic Structure Analysis of Tatra Shepherd Dog Population From Tatra Mountain Region Cover

Genetic Structure Analysis of Tatra Shepherd Dog Population From Tatra Mountain Region

Open Access
|Apr 2015

Abstract

The aim of the work was to analyze the genetic structure of the population of Tatra Shepherd dogs, registered in branches of Polish Kennel Club from Tatra Mountain Region. Data were pedigrees of 102 Tatra Shepherd dogs (33 males and 69 females) born between 1994 and 2011. Inbreeding and relationship coefficients, as well as effective number of founders and ancestors, were calculated. These statistics give the picture of genetic diversity of the population. Average inbreeding coefficient was 7.17%, whereas average relationship coefficient was 18.20%. The number of inbred animals and the mean FX values steadily increased over time. Twenty-six of 80 inbred animals had inbreeding coefficients higher than 10%. The effective number of founders was relatively high in relation to the population size (the effective number of ancestors was four times lower) and both were similar to the results of studies of other authors on different dog breeds. The total contribution of only 4 ancestors was enough to explain 50% of the gene pool of the population. Therefore, mating of related animals should be avoided in order to prevent the further increase of inbreeding level, because almost all Polish and foreign Tatra Shepherd dogs living now originate from the population under study.

DOI: https://doi.org/10.2478/aoas-2014-0090 | Journal eISSN: 2300-8733 | Journal ISSN: 1642-3402
Language: English
Page range: 323 - 335
Submitted on: Jun 9, 2014
Accepted on: Nov 19, 2014
Published on: Apr 23, 2015
Published by: National Research Institute of Animal Production
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Joanna Kania-Gierdziewicz, Maciej Gierdziewicz, Bartłomiej Budzyński, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.