Article
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Population Structure Analysis of the Border Collie Dog Breed in Hungary
Version 1
: Received: 21 March 2019 / Approved: 22 March 2019 / Online: 22 March 2019 (15:43:46 CET)
A peer-reviewed article of this Preprint also exists.
Ács, V.; Bokor, Á.; Nagy, I. Population Structure Analysis of the Border Collie Dog Breed in Hungary. Animals 2019, 9, 250. Ács, V.; Bokor, Á.; Nagy, I. Population Structure Analysis of the Border Collie Dog Breed in Hungary. Animals 2019, 9, 250.
Abstract
Pedigree data of the Border Collie dog breed was constructed in Hungary, to examine genetic diversity within the breed and between its different lines. The database based on available herd books from the development of the breed (the late 1800s) until now. The constructed pedigree file consisted of 13 339 individuals from which 1567 dogs (born between 2010 and 2016) composed the reference population that are still alive and active from breeding aspect. Since the breed is subdivided by phenotype, the reference population was dissected according to the existing lines. The number of founders was 894 but only 8 individuals were responsible for contributing 50% of the genetic variability. The reference population had a pedigree completeness 99.6% until 15 generations and inbreeding coefficient of 9.86%, respectively. Due to the changing breed standards and the requirements of the potential buyers the effective population size substantially decreased between 2010 and 2016. Generation intervals varied between 4.09 and 4.71 years where the sire paths were longer due to the later ages when males begin their breeding carrier compared to females. Genetic differences among the existing lines calculated by fixation indices are not significant, nonetheless ancestral inbreeding coefficients are able to show the contrasts.
Keywords
Border Collie, inbreeding, pedigree analysis, population size, subpopulations
Subject
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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