Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels
University of Göttingen · La Trobe University · +3 more institutions
Abstract
Achieving accurate genomic estimated breeding values for dairy cattle requires a very large reference population of genotyped and phenotyped individuals. Assembling such reference populations has been achieved for breeds such as Holstein, but is challenging for breeds with fewer individuals. An alternative is to use a multi-breed reference population, such that smaller breeds gain some advantage in accuracy of genomic estimated breeding values (GEBV) from information from larger breeds. However, this requires that marker-quantitative trait loci associations persist across breeds. Here, we assessed the gain in accuracy of GEBV in Jersey cattle as a result of using a combined Holstein and Jersey reference…
Citation impact
- FWCI
- 30.05
- Percentile
- 100%
- References
- 34
Authors
8Topics & keywords
- Single-nucleotide polymorphism
- Genomic selection
- Biology
- Genetics
- Dairy cattle
- Polymorphism (computer science)
- Biotechnology
- Computational biology