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Multitrait quantitative trait Loci mapping for milk production traits in danish Holstein cattle
J Kucerová1, M S Lund, P Sørensen
1Department of Animal Breeding, University of South Bohemia, Ceské Budejovice, 370 05, Czech Republic.
Journal of Dairy Science
|May 17, 2006
Summary
This study confirmed quantitative trait loci (QTL) for milk production on bovine chromosomes 6, 11, and 14 in Danish Holstein cattle. Including extended pedigree data improved the precision of genetic parameter estimates for these important milk production QTL.
Area of Science:
- Animal Genetics
- Quantitative Genetics
- Dairy Cattle Breeding
Background:
- Quantitative trait loci (QTL) associated with milk production traits are crucial for dairy cattle breeding.
- Previous studies identified potential QTL on bovine chromosomes 6, 11, 14, and 23.
Purpose of the Study:
- To confirm previously identified QTL for milk production traits in Danish Holstein cattle.
- To investigate the pleiotropic effects of these QTL on various milk production traits.
- To enhance genetic parameter estimation by incorporating pedigree data from non-genotyped animals.
Main Methods:
- Analysis of 19 grandsire families using single-trait (ST) and multitrait (MT) QTL mapping.
- Implementation of a variance component-based QTL mapping model via restricted maximum likelihood (REML).
- Inclusion of extended pedigree information for non-genotyped individuals.
Main Results:
- Confirmation of QTL segregation on bovine chromosomes 6, 11, and 14; QTL on chromosome 23 was not confirmed.
- A highly significant QTL on chromosome 6 (37-73 cM) impacted protein percentage, fat percentage, milk yield, fat yield, and protein yield.
- QTLs affecting protein percentage on chromosome 11 and milk yield/fat percentage on chromosome 14 were identified.
Conclusions:
- The study successfully confirmed and characterized QTL for milk production traits in Danish Holstein cattle.
- Multitrait analysis revealed pleiotropic effects of QTL on multiple milk production traits.
- Incorporating extended pedigree data improved the precision of QTL variance component estimates.
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