| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
1 VIT, Heideweg 1, 27-283 Verden, Germany
2 Department of Animal Genetics, Wroclaw Agricultural University, 51-631 Wroclaw, Poland
Corresponding author: Joanna Szyda; e-mail: Joanna.Szyda{at}vit.de.
The main objective of this study was to estimate the proportion of total genetic variance attributed to a quantitative trait locus (QTL) on Bos taurus autosome 6 (BTA6) for milk production traits in the German Holstein dairy cattle population. The analyzed chromosomal region on BTA6 spanned approximately 70 cM, and contained 6 microsatellite markers. Milk production data were obtained from routine genetic evaluation for 4500 genotyped German Holstein bulls. Technical aspects related to the estimation of model parameters for a large data set from routine genotype recording were outlined. A fixed QTL model and a random QTL model were introduced to incorporate marker information into parameter estimation and genetic evaluation. Estimated QTL variances, expressed as the ratio of QTL to polygenic variances, were 0.04, 0.03, and 0.07 for milk yield; 0.06, 0.08, and 0.14 for fat yield; and 0.04, 0.04, and 0.11 for protein yield, in the first 3 parities, respectively. The estimated QTL positions, expressed as distances from the leftmost marker DIK82, were 18, 31, and 17 cM for milk yield; 25, 17, and 9 cM for fat yield; and 16, 30, and 17 cM for protein yield in the 3 respective parities. Because the data for the parameter estimation well represented the current population of active German Holstein bulls, the QTL parameter estimates have been used in routine marker-assisted genetic evaluation for German Holsteins.
Key Words: quantitative trait locus • variance component • milk production trait • chromosome 6
Abbreviation key: AIA = average information algorithm, BTA6 = Bos taurus autosome 6, DYD = daughter yield deviations, EDC = effective daughter contribution, IBD = identical by descent, MAS = marker-assisted selection, MCMC = Monte Carlo Markov Chain, RRTDM = random regression test day model, VIT = genetic evaluation center
This article has been cited by other articles:
|
|
 |
|
  Z. Liu, J. Jaitner, F. Reinhardt, E. Pasman, S. Rensing, and R. Reents Genetic Evaluation of Fertility Traits of Dairy Cattle Using a Multiple-Trait Animal Model J Dairy Sci, November 1, 2008; 91(11): 4333 - 4343. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. Neuner, R. Emmerling, G. Thaller, and K.-U. Gotz Strategies for Estimating Genetic Parameters in Marker-Assisted Best Linear Unbiased Predictor Models in Dairy Cattle J Dairy Sci, November 1, 2008; 91(11): 4344 - 4354. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. Gengler, S. Abras, C. Verkenne, S. Vanderick, M. Szydlowski, and R. Renaville Accuracy of Prediction of Gene Content in Large Animal Populations and its Use for Candidate Gene Detection and Genetic Evaluation J Dairy Sci, April 1, 2008; 91(4): 1652 - 1659. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Lillehammer, M. Arnyasi, S. Lien, H. G. Olsen, E. Sehested, J. Odegard, and T. H. E. Meuwissen A Genome Scan for Quantitative Trait Locus by Environment Interactions for Production Traits J Dairy Sci, July 1, 2007; 90(7): 3482 - 3489. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
T. Druet, S. Fritz, D. Boichard, and J. J. Colleau Estimation of genetic parameters for quantitative trait Loci for dairy traits in the French holstein population. J Dairy Sci, October 1, 2006; 89(10): 4070 - 4076. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
J. Kucerova, M. S. Lund, P. Sorensen, G. Sahana, B. Guldbrandtsen, V. H. Nielsen, B. Thomsen, and C. Bendixen Multitrait quantitative trait Loci mapping for milk production traits in danish Holstein cattle. J Dairy Sci, June 1, 2006; 89(6): 2245 - 2256. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
