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J. Dairy Sci. 87:468-475
© American Dairy Science Association, 2004.

Detection of Quantitative Trait Loci Affecting Milk Production, Health, and Reproductive Traits in Holstein Cattle

M. S. Ashwell1, D. W. Heyen2, T. S. Sonstegard1, C. P. Van Tassell1, Y. Da3, P. M. VanRaden4, M. Ron5, J. I. Weller5 and H. A. Lewin2

1 USDA-ARS, Bovine Functional Genomics Laboratory, Beltsville, MD 20705
2 Department of Animal Sciences, University of Illinois, Urbana 61801
3 Department of Animal Science, University of Minnesota, St. Paul 55108
4 USDA-ARS, Animal Improvement Programs Laboratory, Beltsville, MD 20705
5 Institute of Animal Sciences, ARO, The Volcani Center, Bet Dagan 50250 Israel

Corresponding author: Melissa S. Ashwell; e-mail: mashwell{at}anri.barc.usda.gov.

We report putative quantitative trait loci affecting female fertility and milk production traits using the merged data from two research groups that conducted independent genome scans in Dairy Bull DNA Repository grandsire families to identify quantitative trait loci (QTL) affecting economically important traits. Six families used by both groups had been genotyped for 367 microsatellite markers covering 2713.5 cM of the cattle genome (90%), with an average spacing of 7.4 cM. Phenotypic traits included PTA for pregnancy rate and daughter deviations for milk, protein and fat yields, protein and fat percentages, somatic cell score, and productive life. Analysis of the merged dataset identified putative quantitative trait loci that were not detected in the separate studies, and the pregnancy rate PTA estimates that recently became available allowed detection of pregnancy rate QTL for the first time. Sixty-one putative significant marker effects were identified within families, and 13 were identified across families. Highly significant effects were found on chromosome 3 affecting fat percentage and protein yield, on chromosome 6 affecting protein and fat percentages, on chromosome 14 affecting fat percentage, on chromosome 18 affecting pregnancy rate, and on chromosome 20 affecting protein percentage. Within-family analysis detected putative QTL associated with pregnancy rate on six chromosomes, with the effect on chromosome 18 being the most significant statistically. These findings may help identify the most useful markers available for QTL detection and, eventually, for marker-assisted selection for improvement of these economically important traits.

Key Words: quantitative trait locus • pregnancy rate • milk production traits

Abbreviation key: AIPL = Animal Improvement Programs Laboratory, BTA = Bos taurus autosome, DBDR = Dairy Bull DNA Repository, PL = productive life, DGAT1 = acylCoA:diacylglycerol acyltransferase gene, GHR = growth hormone receptor gene




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