Improving accuracy of genomic prediction

Monday, August 18, 2014: 4:00 PM-6:00 PM
Bayshore Grand Ballroom D (The Westin Bayshore)
Moderator:
Dorian J. Garrick
4:00 PM
056
Joint genomic evaluation of cows and bulls with BayesD for prediction of genotypic values and dominance deviations
Robin Wellmann, Institute of Animal Husbandry and Breeding, University Hohenheim; Johann Ertl, Bavarian State Research Center for Agriculture, Institute of Animal Breeding; Reiner Emmerling, Bavarian State Research Center for Agriculture, Institute of Animal Breeding; Christian Edel, Bavarian State Research Center for Agriculture, Institute of Animal Breeding; Kay-Uwe Götz, Bavarian State Research Center for Agriculture, Institute of Animal Breeding; Jörn Bennewitz, Institute of Animal Husbandry and Breeding, University Hohenheim
Recorded Presentation (flv)
4:15 PM
057
Size of required reference population updates to achieve constant genomic prediction accuracy across generations
Marcin Pszczola, Department of Genetics and Animal Breeding, Poznan University of Life Sciences; Tomasz Strabel, Department of Genetics and Animal Breeding, Poznan University of Life Sciences; Mario P. L. Calus, Animal Breeding and Genomics Centre, Wageningen UR Livestock Research
Recorded Presentation (flv)
4:30 PM
058
Genomic Selection of Pork pH in Purebred Pigs for Crossbred Performance
Younes Miar, University of Alberta; Graham Plastow, University of Alberta; Heather Bruce, University of Alberta; Robert Kemp, Genesus Genetics Inc.; Patrick Charagu, Hypor Inc; Chunyan Zhang, University of Alberta; Abe Huisman, Hendrix Genetics; Zhiquan Wang, University of Alberta
Recorded Presentation (flv)
4:45 PM
059
Prediction of Heterosis in White Leghorn Crossbreds using Paternal 60K SNP Genotypes
Esinam N Amuzu-Aweh, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences; Henk Bovenhuis, Animal Breeding and Genomics Centre, Wageningen University; Dirk-Jan de Koning, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences; Piter Bijma, Animal Breeding and Genomics Centre, Wageningen University
Recorded Presentation (flv)
5:00 PM
060
Improving genomic prediction for Danish Jersey using a joint Danish-US reference population
Guosheng Su, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Ulrik S. Nielsen, Knowledge Center for Agriculture; George R. Wiggans, Animal Improvement Programs Laboratory, Agricultural Research Service, USDA; Gert P. Aamand, Nordic Cattle Genetic Evaluation; Bernt Guldbrandtsen, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Mogens Sandø Lund, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University
Recorded Presentation (flv)
5:15 PM
061
Maximizing crossbred performance through purebred genomic selection
Hadi Esfandyari, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Anders Christian Sørensen, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Piter Bijma, Animal Breeding and Genomics Centre, Wageningen University
Recorded Presentation (flv)
5:30 PM
062
Genomic estimation of additive and dominance genetic variance and their effect on the accuracy of genomic prediction of sheep
Nasir Moghaddar, School of Environmental & Rural Science, University of New England; Julius van der Werf, University of New England
5:45 PM
063
Genomic prediction using QTL derived from whole genome sequence data
Rasmus F Brøndum, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Guosheng Su, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Luc Janss, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Goutam Sahana, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Mogens Sandø Lund, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University
Recorded Presentation (flv)
See more of: Genetic Improvement Programs: Selection using molecular information
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