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Breeding and genetics: Genomic evaluation I - Methods

Wednesday, July 20, 2016: 9:30 AM-12:30 PM
Grand Ballroom I (Salt Palace Convention Center)
Chair:
James E. Koltes
9:30 AM
291
APY inverse of genomic relationship matrix – theory, analyses and questions
Ignacy Misztal, University of Georgia; Ivan Pocrnic, University of Georgia; Daniela Lourenco, University of Georgia; Yutaka Masuda, University of Georgia
Audio File Recorded Presentation (mp4)
9:45 AM
292
Dimensionality of genomic information and APY inverse of genomic relationship matrix
Ivan Pocrnic, University of Georgia; Daniela A. L. Lourenco, University of Georgia; Yutaka Masuda, University of Georgia; Andres Legarra, INRA, UMR 1388 GenPhySE; Ignacy Misztal, University of Georgia
Audio File Recorded Presentation (mp4)
10:00 AM
293
Accounting for discovery bias in genomic prediction
R. Mark Thallman, USDA, ARS, U.S. Meat Animal Research Center; Jamie T Parham, South Dakota State University; Larry A. Kuehn, USDA, ARS, U.S. Meat Animal Research Center; Joseph P. Cassady, South Dakota State University
Audio File Recorded Presentation (mp4)
10:15 AM
294
Assessing genomic prediction accuracy for Holstein sires using bootstrap aggregation sampling and leave-one-out cross validation
Ashley Mikshowsky, University of Wisconsin-Madison; Kent A. Weigel, Department of Dairy Science University of Wisconsin; Daniel Gianola, University of Wisconsin - Madison
Audio File Recorded Presentation (mp4)
10:30 AM
295
The impact of call rate on genotype accuracy
Deirdre C Purfield, Animal & Grassland Research and Innovation Centre, Teagasc, Moorepark; Matthew C McClure, Irish Cattle Breeding Federation; Donagh P Berry, Teagasc, Moorepark
Audio File Recorded Presentation (mp4)
10:45 AM
296
Strategy for incorporating newly discovered causative genetic variants into genomic evaluations
George R. Wiggans, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA; Paul M. VanRaden, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA; Derek M. Bickhart, Animal Genomics and Improvement Laboratory, USDA-ARS; Melvin E. Tooker, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA
Audio File Recorded Presentation (mp4)
11:00 AM
Break
11:15 AM
297
High density marker panels, SNPs prioritizing and accuracy of genomic selection
Ling-Yun Chang, Department of Animal and Dairy Science, The University of Georgia; Sajjad Toghiani, Department of Animal and Dairy Science, The University of Georgia; Samuel E Aggrey, Institute of Bioinformatics, The University of Georgia; Romdhane Rekaya, Institute of Bioinformatics, The University of Georgia
Audio File Recorded Presentation (mp4)
11:30 AM
298
Selection of sequence variants to improve dairy cattle genomic predictions
Melvin E. Tooker, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA; Paul M. VanRaden, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA; Derek M. Bickhart, Animal Genomics and Improvement Laboratory, Agricultural Research Service, USDA; Jeff O'Connell, University of Maryland School of Medicine
Audio File Recorded Presentation (mp4)
11:45 AM
299
Genomic prediction of crossbred performance
Barbara Harlizius, Topigs Norsvin Research Center; Marcos S. Lopes, Topigs Norsvin Research Center; Jeremie Vandenplas, Wageningen University; Claudia A Sevillano, Wageningen University; John W.M. Bastiaansen, Animal Breeding and Genomics Centre, Wageningen University
Audio File Recorded Presentation (mp4)
12:00 PM
300
SNP filtering using Fst and implications for Genome wide association and phenotype prediction
Sajjad Toghiani, Department of Animal and Dairy Science, The University of Georgia; Ling-Yun Chang, Department of Animal and Dairy Science, The University of Georgia; Samuel E Aggrey, Institute of Bioinformatics, The University of Georgia; Romdhane Rekaya, Institute of Bioinformatics, The University of Georgia
12:15 PM
301
A combined coalescence forward in time simulator software for pedigreed populations undergoing selection for complex traits
Jeremy T Howard, North Carolina State University; Francesco Tiezzi, North Carolina State University; Jennie E Pryce, Department of Economic Development, Jobs, Transport and Resources; Christian Maltecca, North Carolina State University
Audio File Recorded Presentation (mp4)
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