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
                                            Wiggans, Georgeitem
                                            SU, GUOSHENG - Aarhus Universityitem
                                            Cooper, Tabathaitem
                                            NIELSEN, U - Knowledge Center For Agricultureitem
                                            AAMAND, GERT PEDERSEN - Knowledge Center For Agricultureitem
                                            GULDBRANDTSEN, BERNT - Aarhus Universityitem
                                            LUND, MOGENS SANDØ - Aarhus Universityitem
                                            Vanraden, Paul
  Submitted to: Journal of Dairy Science
                                    Publication Type: Peer Reviewed Journal
                                    Publication Acceptance Date: 1/30/2015
                                    Publication  Date: 5/1/2015
                                    Citation: Wiggans, G.R., Su, G., Cooper, T.A., Nielsen, U.S., Aamand, G., Guldbrandtsen, B., Lund, M., Van Raden, P.M. 2015. Short communication: Improving accuracy of Jersey genomic evaluations in the United States and Denmark by sharing reference population bulls. Journal of Dairy Science. 98(5):3508-3513.Interpretive Summary: Accuracy of genomic prediction depends on how much information the reference population contributes. The gain in prediction accuracy for Jersey genomic evaluations in Denmark and the United States from using larger reference populations was assessed. Reliability of Danish genomic predictions was 4 percentage points higher with a joint reference population. For US genomic predictions, the average increase in reliability was 1 percentage point for young US animals and 2 percentage points when young Danish bulls were included in the prediction test. Exchanging reference data to increase the size of a reference population is an efficient approach to increasing the accuracy of genomic prediction.
                                Technical Abstract: The effect on prediction accuracy for Jersey genomic evaluations in Denmark and the United States from using larger reference populations was assessed. Each country contributed genotypes from 1,157 Jersey bulls to the reference population of the other. Eight of 9 traits analyzed by Denmark (milk, fat, and protein yields; fertility index; mastitis index; body conformation; feet-and-legs; and udder conformation) benefited from the inclusion of US Jersey bulls in the Danish reference population. Reliability gains for genomic estimated breeding value (GEBV) ranged from 0.01 for fertility to 0.13 for udder conformation. An exception was longevity, for which use of the combined Danish–US reference population resulted in a loss of 0.05 for GEBV reliability. Averaged over all 9 traits, reliability for GEBV based on the combined Danish–US reference population was 0.04 higher than reliability of GEBV based on only the Danish reference population. For the United States, mean increase in reliability over 23 yield and type traits of young US animals was 0.01 for genomic predicted transmitting ability (GPTA) based on a joint US–Danish reference population compared with previous GPTA from North American data; the reliability increase was 0.02 when young Danish bulls also were included in the validation set, which indicated a slightly larger benefit for bulls that had more Danish ancestors. To assess the effect of size of the reference population on reliability gain, the US reference population was reduced to a size similar to the Danish reference population. With the reference population subset, mean reliability gain was higher for both US and Danish young animals, which indicated a greater benefit from additional information with a smaller starting population. Exchanging reference data to increase the size of reference population was an efficient approach to increasing the accuracy of genomic prediction, especially for a breed with a small number of reference bulls.


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