PPT-Genomic Predictions for Crossbreds from All-Breed Data

Abstract 461 Background Crossbreeding Harris and Johnson 2010 used multibreed relationship matrix to obtain GEBVs in NZL Olson et al 2010 estimated MT multibreed SNP effects and genomic breed composition. breed composition for crossbred U.S. dairy cattle . Introduction. Traditional evaluations are on all-breed base. Pedigree breed composition (PBC) has been computed, distributed, and used to calculate heterosis since we went to the all-breed model in . Fikret Isik. Associate . Professor. September 16, 2013. Genomic BLUP - UofCopenhagen. 1. Cooperative Tree Improvement Program. North Carolina State University, Raleigh, . USA. Outline. Background. Realized genomic relationships. HO genotypes from . Switzerland. Genomic evaluation of . Guernseys. Mutations in . HCD. and in . BH2. HCR. edits and adjustments. Breed base representation . (BBR) . for crossbreds. April changes. Breed check markers. 3.8 Time Series. What we are looking at now. Very important for Merit AND Excellence!. Fitted vs. Raw. This involves comparing the raw data (black line) with the fitted model (green line).. In particular, we are looking at how well the model fits the data. . University of Nebraska-Lincoln. Development of Genomic EPD: Expanding to multiple breeds in multiple ways. Adoption of Genomic Predictions. AAA, ASA, AHA, NALF with others quickly following. Efficacy of this technology is not binary. John B. Cole. Animal Genomics and Improvement Laboratory. Agricultural Research Service, USDA. Beltsville, MD 20705-2350. Introduction. Genomic selection rapidly adopted for purebred cattle . (Hayes et al., 2009; . University of Nebraska-Lincoln. Development of Genomic EPD: Expanding to multiple breeds in multiple ways. Adoption of Genomic Predictions. AAA, ASA, AHA, NALF with others quickly following. Efficacy of this technology is not binary. Length. as . a Trait of the Service Sire . J.R. . . Wright. , . P.M. . VanRaden. ,* . and . J.L. . Hutchison. Animal Genomics . &. . Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350. USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD, USA. paul.vanraden@ars.usda.gov. Topics. Gestation length. Adjustments for expected future inbreeding (EFI) used since 2005 and . Validation of genomic predictions and genomic reliability Mel Tooker and Paul VanRaden USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD, USA melvin.tooker@ars.usda.gov Genotypes are Useful for More Than Genomic Evaluation Uses for genotypes Ancestor discovery within breeds Inheritance tracking for chromosomes Mating programs Genomic inbreeding, dominance Fertility defects – haplotypes and QTLs L.A. Kuehn, J.W. Keele, G.L. Bennett, . T.G. McDaneld, T.P.L. Smith, W.M. Snelling, . T.S. Sonstegard, and R.M. Thallman. United States Department of Agriculture. Agricultural Research Service. What breed is it?. more markers and gene tests. G.R. Wiggans,. 1. . P.M. VanRaden,. 2. D.J. Null,. 2. and J.B. Cole. 2. 1 . Council on Dairy Cattle Breeding, Bowie, MD, USA. 2 . Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA, Beltsville, MD, USA. Dina Paltoo, Ph.D., M.P.H.. NIH Office of Science Policy. Laura Lyman Rodriguez, Ph.D.. National Human Genome Research Institute. October 4, 2017. Housekeeping. Participants must register to join the webinar.