U.S. flagAn official website of the United States government
                    Here's how you know **Official websites use .gov**
                            
                            A **.gov** website belongs to an official government organization in the United States.
 **Secure .gov websites use HTTPS**
                            
                            A **lock** (                            
                              A locked padlock                                                      
                            
                            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


Menu Agricultural Research Service
						
                    U.S. DEPARTMENT OF AGRICULTURE
 Animal Genomics and Improvement Laboratory: Beltsville, MD
 close



    Research

                    Research Projects
                                    Publications
                                    Collaborations
                                    News
                                    Software
                People

                    Staff Listing
                                    Careers


        


                    AIP
                        Home
                                    About
                                    Publications
                                    Software
                                    People
                                    Collaborations
                                    Careers
                                    Centennial
                                    Contact
                                    Dairy industry links
                    DirectionsSearch small
                    Search
            
            ARS Home
                                About ARS
                                Contact Us




ARS Home Northeast Area Beltsville, Maryland (BARC) Beltsville Agricultural Research Center Animal Genomics and Improvement Laboratory Research Publications at this Location





- ARS National Programs
- Search for a scientific manuscript
- Search for a research project
- ARS Software
- Programs and Projects
- Collaborations
- Subjects of Investigation
- Publications
- IACUC
- Home
- About
- Publications
- Software
- People
- Collaborations
- Careers
- Centennial
- Contact
- Dairy industry links
- Home
- Queries login
- News
- Animal Evaluation lists
- Genotype counts

Title:   Author  item
                                            SUN, CHUANYU - National Association Of Animal Breedersitem
                                            Vanraden, Paulitem
                                            Cole, Johnitem
                                            O'CONNELL, JEFFREY - University Of Maryland
  Submitted to: World Congress of Genetics Applied in Livestock Production
                                    Publication Type: Proceedings
                                    Publication Acceptance Date: 4/21/2014
                                    Publication  Date: 8/17/2014
                                    Citation: Sun, C., Van Raden, P.M., Cole, J.B., O'Connell, J.R. 2014. Increasing predictive ability using dominance in genomic selection. World Congress of Genetics Applied in Livestock Production. Vancouver, Canada, Aug. 17–22. 3 pp.Interpretive Summary:
                                Technical Abstract: Dominance can be an important source of nonadditive genetic variance for many traits of dairy cattle. The role of dominance was investigated for Holstein and Jersey milk, protein, and fat yields; somatic cell score (SCS), productive life (PL), and daughter pregnancy rate (DPR). Additive and dominance variance components were estimated first, and then those estimates were used to estimate additive and dominance effects of single-nucleotide polymorphisms. The predictive ability between 3 models with both additive and dominance effects (MAD1, MAD2, and MAD3) and a model with additive effect only (MA) were assessed using 10-fold cross-validation. The MAD1 model estimated dominance values, and MAD2 estimated dominance deviations with a different dominance relationship matrix; MAD3 enlarged the data set by including cows with genotype probabilities that were derived from genotyped ancestors. Dominance from MAD1 accounted for 5 and 7% of total variance for Holstein and Jersey yield traits, respectively. Heritability estimates were lower for dominance and higher for additive genetic effects with MAD2 than with MAD1. For SCS, PL, and DPR, Holstein and Jersey dominance variances were very small. Mean correlations between estimated genetic effects and phenotypes for the 10-fold cross-validation showed that MAD1 and MAD2 increased prediction accuracy relative to the MA model for yield traits, but no difference was found for SCS, PL, and DPR. Compared with MAD1 and MAD2, MAD3 did not further improve prediction.


Return to top


Connect with ARS Sign up


ARS Home
                            USDA.gov
                            Plain Writing
                            Policies & Links
                            Civil Rights Statements
                            FOIA
                            Accessibility Statement
                            Privacy Policy
                            Non-Discrimination Statement
                            Quality of Information
                            USA.gov
                            WhiteHouse.gov