1. bookVolume 21 (2021): Issue 2 (April 2021)
Journal Details
License
Format
Journal
eISSN
2300-8733
First Published
25 Nov 2011
Publication timeframe
4 times per year
Languages
English
access type Open Access

Pedigree analysis of a red fox (Vulpes vulpes) population

Published Online: 08 May 2021
Volume & Issue: Volume 21 (2021) - Issue 2 (April 2021)
Page range: 457 - 468
Received: 03 Jan 2020
Accepted: 14 Jul 2020
Journal Details
License
Format
Journal
eISSN
2300-8733
First Published
25 Nov 2011
Publication timeframe
4 times per year
Languages
English
Abstract

Fur animal breeding has a long history. In many countries several fur animal species (including the red fox) have been recognized as livestock. The aim of this study was to estimate the pedigree parameters in the population of red fox on a Polish breeding farm. The data set consisted of information on 39 434 individuals, including 18 697 females and 20 004 males (733 animals were of unknown sex), from the years 1956–2016. The following pedigree parameters were estimated: average number of discrete generation equivalents, individual inbreeding coefficient, total and effective number of founders, effective population size, average relationship, founder genome equivalent, effective number of non-founders, and genetic diversity coefficient. The population size changed in successive years. The average inbreeding level was 5.34% for the population as a whole, and 6.04% for the inbred population. The estimated effective number of founders of the population was 84.18. The founder genome equivalent, which indicates the anticipated loss of genetic diversity caused by genetic drift, reached 9.59 in 2016 from an initial value of 34.22 in 1956. The loss of genetic diversity caused by the unequal contribution of the founder alleles did not change significantly over the years. Generally, the results indicate the good pedigree structure (including pedigree completeness) of the population studied. This implies reliable estimation of the inbreeding level, as one of the most important parameters in the genetic improvement programme.

Keywords

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