Related Experiment Video
Updated: Mar 29, 2026

08:39
Shifting Zebrafish Lethal Skeletal Mutant Penetrance by Progeny Testing
Published on: September 1, 2017
8.2K
A simple strategy for managing many recessive disorders in a dairy cattle breeding program
1Animal Genomics and Improvement Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA. john.cole@ars.usda.gov.
Genetics, Selection, Evolution : GSE
|December 2, 2015
Summary
A new genomic mating strategy effectively reduces recessive allele frequencies in dairy cattle, managing genetic disorders and improving economic merit. This method aids in controlling undesirable traits while potentially enhancing desirable ones.
Area of Science:
- Animal Genetics
- Quantitative Genetics
- Dairy Cattle Breeding
Background:
- High-density SNP genotypes identify novel recessive mutations affecting dairy cattle fertility and other traits.
- Current mate allocation strategies often overlook genomic information, complicating management as mutation numbers increase.
Purpose of the Study:
- To develop and evaluate a modified genomic mating strategy accounting for economic impacts of Mendelian disorders.
- To compare this modified strategy against random mating, truncation selection, and the original Pryce method.
Main Methods:
- A modified Pryce method was developed, incorporating economic values of Mendelian disorders.
- The modified Pryce method was compared to existing strategies using scenarios with 6 and 12 recessive alleles in US Holstein populations.
Main Results:
- Both Pryce methods effectively reduced recessive allele frequencies, especially for common alleles (>0.30).
- The modified Pryce method showed superior performance for low-frequency alleles with minor economic impact.
- Genetic gain was marginally higher with the Pryce method, while inbreeding rates were comparable across methods.
Conclusions:
- The proposed method accelerates the reduction of undesirable recessive allele frequencies.
- This strategy can be adapted to manage desirable recessive alleles and is software-implementable.
- Freely available code supports the implementation of this advanced mate allocation tool.

