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,#,
* Research Institute for the Biology of Farm Animals Dummerstorf, D-18196 Departments of
Dairy Science and
Statistics, Virginia Polytechnic Institute and State University Blacksburg, VA-24061-0315
# Department of Animal Breeding and Genetics, Danish Institute of Agricultural Sciences Research Centre Tjele, DK-8830
Corresponding author:
Gertraude Freyer; e-mail:
freyer{at}fbn-dummerstorf.de.
The primary aim of this study was to investigate whether previous findings of similar quantitative trait loci (QTL) positions for correlated yield traits are due to a pleiotropic QTL. We applied a multitrait variance component based QTL mapping method to a dataset involving five granddaughter families from the German Holstein dairy cattle population. The marker map contained 16 microsatellite markers, distributed across chromosome BTA6. A chromosomewise significance threshold was used, because BTA6 is known to harbor QTL for several milk traits. To evaluate the results from the multivariate, across-family analysis, we also conducted single-family analyses using the least squares method of QTL estimation. The results provided two significant QTL findings at 49 and 64 cM for milk yield in different families and putative QTL at 68 cM for fat yield and at 71 cM for protein yield in another family. The results for fat and protein yield were confirmed by a univariate, across-family variance components analysis. The multivariate analysis of three bivariate trait combinations resulted in a significant pleiotropic QTL finding at 68 cM for fat yield and protein yield, bracketed by markers TGLA37 and FBN13. The estimates of variance contribution due to this QTL were 23% and 25%, respectively.
Key Words: milk yield traits • QTL mapping • multivariate analysis
Abbreviation key: AIREML = average information restricted maximum likelihood, CVC = covariance components, DYD = daughter yield deviations, IBD = identity by descent, LR = likelihood ratio, LS = least squares
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