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Genetic lag in a Meishan x Large White pig backcross population: A simulation study

Published online by Cambridge University Press:  20 November 2017

E.E. Wall ,
J.A. Woolliams  and
P.M. Visscher
E.E. Wall
Affiliation:
Institute of Cell, Animal and Population Biology, University of Edinburgh, West Mains Road, Edinburgh EH9 3JG Roslin Institute, Roslin Midlothian, EH25 9PS, Scotland
J.A. Woolliams
Affiliation:
Roslin Institute, Roslin Midlothian, EH25 9PS, Scotland
P.M. Visscher
Affiliation:
Institute of Cell, Animal and Population Biology, University of Edinburgh, West Mains Road, Edinburgh EH9 3JG
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Extract

Backcrossing can be used as a tool to introduce new alleles into a population. Having detected an allele of interest in a non-commercial (donor) line, backcrossing methods introduce the allele into a commercial (recipient) population whilst minimising the contribution of the less superior donor genome. Many alleles linked to the desired donor allele are incorporated into the recipient line by a phenomenon called linkage drag. Loci in the region of the target locus may trace back to a common ancestor and become identical by descent (IBD). This leads to a loss of diversity around the target locus. The linkage drag and contributions from ancestral recipient populations mean that the backcross population suffers genetic lag for commercial traits. This study aims to investigate the effect of population size and number of backcross generations on genetic lag, linkage drag and IBD around a target allele reducing back fat found in the Chinese Meishan breed when backcrossed to a commercial Large White population.

Type
Theatre Presentations
Information
Proceedings of the British Society of Animal Science , Volume 2002 , 2002 , pp. 59
Copyright
Copyright © The British Society of Animal Science 2002

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References

Haley, C.S., d’Agaro, E., Ellis, M., 1992. Genetic components of growth and ultrasonic fat depth traits in Meishan and Large White pigs and their reciprocal crosses. Animal Production, 54: 105–115.Google Scholar
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