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Use of animals with partially known ancestries in scientifically managed breeding programs
Author(s) -
Willis Kevin,
Lacy Robert C.
Publication year - 2016
Publication title -
zoo biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.5
H-Index - 54
eISSN - 1098-2361
pISSN - 0733-3188
DOI - 10.1002/zoo.21295
Subject(s) - inbreeding , kinship , biology , population , genetic genealogy , offspring , evolutionary biology , effective population size , selection (genetic algorithm) , genetic fitness , genetics , population genetics , genetic variation , demography , biological evolution , gene , pregnancy , artificial intelligence , sociology , political science , computer science , law
Animals with only partially known ancestry present a problem for population managers because it can be difficult to determine their relative genetic value to the population. So long as their ancestry is not completely unknown, population management software such as PMx can calculate a mean kinship for these animals, but that mean kinship is calculated such that there is no decrease in relative genetic value or “penalty” for only partially known ancestry. However, there is a longer‐term genetic cost to having animals with only partially known ancestry in the population, and thus it is appropriate to “penalize” animals with partially known ancestry to some extent. The challenge is determining the correct “penalty” which will serve to decrease the percent unknown ancestry in subsequent generations while not causing excessive selection against the known ancestry of the animal. A new parameter of relative genetic value is developed which takes into account both an animal's mean kinship as well as its percent known ancestry. The method used in PMx to calculate the mean kinships also in general overestimates the inbreeding coefficients of offspring of animals with partially known ancestry when the known parents share a common ancestor, but can underestimate inbreeding if common ancestors exist within the unknown portion of the pedigree. This may result in population managers selecting less suitable pairs for breeding in an attempt to avoid an apparent higher level of inbreeding. A parameter is developed that adjusts the inbreeding coefficient to more accurately reflect the likely inbreeding coefficient of potential offspring. Zoo Biol. 35:319–325, 2016. © 2016 Wiley Periodicals, Inc.