Literature DB >> 14762088

Mapping quantitative trait loci affecting dairy conformation to chromosome 27 in two Holstein grandsire families.

C P Van Tassell1, T S Sonstegard, M S Ashwell.   

Abstract

Preliminary marker association results for quantitative trait loci affecting conformation traits using the granddaughter design and 8 large US Holstein grandsire families revealed strong associations in two families between the predicted transmitting abilities for dairy conformation and marker genotypes on bovine chromosome 27. Those results were based on single marker-trait associations in a genome-scan to identify broad chromosomal regions potentially containing genes affecting traits of interest. Results presented here describe continued study of quantitative trait loci on chromosome 27 for eventual incorporation into a marker-assisted selection program. Tests of marker associations for family 8 (91 sons) indicated an association with a microsatellite marker located near the telomere of chromosome 27. Interval analysis performed using additional marker genotypes generated for family 8 yielded further evidence for a quantitative trait locus in this region. No evidence was found for associations with milk production traits in this family in this region. An association was also detected in family 2 (240 sons) with a microsatellite marker located approximately 21 cM from the centromere of chromosome 27. Interval analysis performed for family 2 yielded evidence for a quantitative trait locus for dairy conformation near BMS689 with evidence of associations with fat percentage in the same region. Identification of quantitative trait loci affecting dairy conformation and fat components supports results reported by other groups, providing additional evidence that genes affecting fat metabolism are located on bovine chromosome 27.

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Year:  2004        PMID: 14762088     DOI: 10.3168/jds.S0022-0302(04)73184-7

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  1 in total

1.  Deregressing estimated breeding values and weighting information for genomic regression analyses.

Authors:  Dorian J Garrick; Jeremy F Taylor; Rohan L Fernando
Journal:  Genet Sel Evol       Date:  2009-12-31       Impact factor: 4.297

  1 in total

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