Posters: Prediction using molecular information (Group 1)

Monday, August 18, 2014: 9:30 AM-10:00 AM
Posters (The Westin Bayshore)
Moderators:
Dorian J. Garrick , Roel F. Veerkamp and Esa A. Mäntysaari
451
Genome-wide Association Study for Loin Marbling Score in Duroc pigs
Anna Neustaeter, University of Guelph; Daniela A Grossi, Centre for Genetic Improvement of Livestock, University of Guelph; Mohsen Jafarikia, Canadian Centre for Swine Improvement; Mehdi Sargolzaei, The Semex Alliance; Flavio S Schenkel, Centre for Genetic Improvement of Livestock, University of Guelph
452
Genomic Evaluation Using 50K and Imputed HD Genotypes in Guzera (Bos indicus) Breed
Solomon A Boison, University of Natural Resources and Life Sciences; Daniel J. A Santos, UNESP Univ Estadual Paulista; José F Garcia, Faculdade de Medicina Veterinária de Araçatuba, Univ Estadual Paulista; Johann Soelkner, University of Natural Resources and Life Sciences; Maria G. C. D. Peixoto, Embrapa Gado de Leite; Marcos V. G. B. da Silva, Embrapa Dairy Cattle
453
Balancing Conservation and Production: A Molecular Genetic Approach in Aid of Buffalo Ranching
Ben Greyling, Agricultural Research Council; Bettine van Vuuren, University of Johannesburg; Pim van Hooft, Resource Ecology Group, Wageningen University; Azwihangwisi A Maiwashe, University of the Free State
454
Improving predictive ability of selected subsets of single nucleotide polymorphisms in a moderately sized dairy cattle population
Joel I Weller, ARO, The Volcani Center; Ephraim Ezra, Israel Cattle Breeders Association; Eyal Seroussi, ARO, The Volcani Center; Maya Shemesh, Israel Cattle Breeders Association; Micha Ron, ARO, The Volcani Center
455
Is the use of formulas a reliable way to predict the accuracy of genomic selection?
Sophie Brard, INRA, UMR 1388; Anne Ricard, INRA, UMR 1313
456
Association between GDF9, FecB and Prolactin gene polymorphisms and prolificacy of Awassi sheep
Khaleel I Jawasreh, Jordan University of Science and Technology; Alaa Al-Qaisi, Jordan University of Science and Technology; Faisal T Awawdeh, Jordan University of Science and Technology
457
The role of obesity genes for milk fat yield in Holstein dairy cattle
Lea G Zielke, Humboldt-Universität zu Berlin; Ralf H Bortfeldt, Department for Crop and Animal Sciences, Humboldt-Universität zu Berlin; Jens Tetens, Institute of Animal Breeding and Husbandry, Christian-Albrechts-Universität zu Kiel; Georg Thaller, Christian-Albrechts-Universität; Gudrun A Brockmann, Department for Crop and Animal Sciences, Humboldt-Universität zu Berlin
458
Accuracy of Genomic Prediction in French Charolais Cattle Population Using High-density Chip
Thierry Tribout, INRA UMR 1313 GABI; Mélanie Gunia, INRA, UMR1388 GenPhySE; Romain Saintilan, UNCEIA; Eric Vénot, INRA, UMR1313 GABI; Marie-Noelle Fouilloux, Institut de l'Elevage - Idele; Florence Phocas, INRA, UMR1313 GABI
459
Genomic Evaluations using Combined reference Population from Montbéliarde and French Simmental breeds
Chris Hoze, INRA, UMR1313 GABI; Sebastien Fritz, INRA, UMR1313 GABI; Florence Phocas, INRA, UMR1313 GABI; Didier Boichard, INRA, UMR1313 GABI; Vincent Ducrocq, INRA, UMR1313 GABI; Pascal Croiseau, INRA, UMR1313 GABI
460
Estimation of linkage disequilibrium and effective population size using whole genome single nucleotide polymorphisms in Korean native pig and Landrace
Jong-Eun Park, Hankyong National University; Joon-ho Lee, Hankyong National University; Ji-Hyun Son, Hankyong National University; Deukhwan Lee, Hankyong National University
461
Estimating variance components for growth, feed efficiency and carcass merit traits in Angus steers using additive and dominance genomic relationship matrices
Liuhong Chen, University of Alberta
462
Haplotype-assisted genomic evaluations in Nordic Red dairy cattle
Timo Knürr, MTT Agrifood Research Finland, Biotechnology and Food Research; Ismo Strandén, MTT Agrifood Research Finland, Biotechnology and Food Research; Minna Koivula, MTT Agrifood Research Finland, Biotechnology and Food Research; Gert P. Aamand, NAV Nordic Cattle Genetic Evaluation; Esa A. Mäntysaari, MTT Agrifood Research Finland, Biotechnology and Food Research
463
Imputation of genotypes in Danish two-way crossbred pigs using low density panels
Tao Xiang, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Ole Fredslund Christensen, Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University; Andres Legarra, INRA; Tage Ostersen, Pig Research Centre
464
Genomic breeding values for ungenotyped individuals
Bruce Tier, Animal Genetics and Breeding Unit
465
Ancestral Haplotypes, Quantal Genomics and Healthy Beef
Edward J Steele, C.Y.O'Connor ERADE Village Foundation; Sally S Lloyd, C.Y.O'Connor ERADE Village Foundation; Susan Lester, C.Y.O'Connor ERADE Village Foundation; Joseph F Williamson, Division Health Sciences, Murdoch University; Dominic Bayard, Global Reproductive Solutions; Roger L Dawkins, Faculty of Medicine and Dentistry, University of Western Australia
466
Bias of genetic trend of genomic predictions based on both real and simulated dairy cattle data
Peipei Ma, 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; Ulrik S. Nielsen, Knowledge Center for Agriculture; Gert P. Aamand, NAV Nordic Cattle Genetic Evaluation; Anders Christian Sørensen, 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
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