Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/11646
Title: Bayesian Segregation Analysis of Somatic Cell Scores of Ontario Holstein Cattle
Contributor(s): Pan, Y (author); Boettcher, PJ (author); Gibson, John Paul (author)
Publication Date: 2001
DOI: 10.3168/jds.S0022-0302(01)74735-2
Handle Link: https://hdl.handle.net/1959.11/11646
Abstract: Bayesian segregation analysis using a Gibbs sampling approach was applied to four sets of simulated data and one set of field data to detect evidence of major genes affecting the evaluated trait. The substitution effect of a major gene and its allelic frequency were estimated for each set of data. For two datasets simulated with a model with no major gene effect, the resulting estimates of polygenic variance and heritability agreed with the simulated values and tests for the presence of a major gene were not significant. Analyses of two sets of data simulated with a major gene produced posterior distributions that gave significant evidence of major gene effects but underestimated the substitution values of the major gene. The segregation analysis of field data suggested that a major gene significantly affected somatic cell score (SCS) in the population of Ontario Holstein cattle. The estimated heritability of SCS was approximately 0.16. The major gene variance accounted for about 17% of the total genetic variance and the point estimate of the frequency of the allele having a positive effect on SCS was 0.30. However, the precision of these estimates is questionable based on the simulation results. The effect of the major gene may be underestimated.
Publication Type: Journal Article
Source of Publication: Journal of Dairy Science, 84(12), p. 2796-2802
Publisher: Elsevier Inc
Place of Publication: United States of America
ISSN: 1525-3198
0022-0302
Field of Research (FOR): 070201 Animal Breeding
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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