Statistical methods for genomic prediction

Wednesday, August 20, 2014: 10:30 AM-12:00 PM
Bayshore Grand Ballroom B-C (The Westin Bayshore)
Moderator:
Roel F. Veerkamp
10:30 AM
067
Genomic prediction using a weighted relationship matrix to account for trait architecture in US Holstein cattle
Francesco Tiezzi, North Carolina State University; Christian Maltecca, North Carolina State University
Recorded Presentation (flv)
10:45 AM
068
Hierarchical Quantitative Genetic Model Using Genomic Information
Gregor Gorjanc, The Roslin Institute and R(D)SVS, University of Edinburgh; John A. Woolliams, The Roslin Institute and R(D)SVS, University of Edinburgh; John M. Hickey, The Roslin Institute and R(D)SVS, University of Edinburgh
Recorded Presentation (flv)
11:00 AM
069
Comparison of Some Equivalent Equations to Solve Single-Step GBLUP
Ismo Strandén, MTT Agrifood Research Finland, Biotechnology and Food Research; Esa A. Mäntysaari, MTT Agrifood Research Finland
Recorded Presentation (flv)
11:15 AM
070
Semi-Supervised Learning Combining Phenotyped and Non-phenotyped individuals for Enhancing Prediction in Residual Feed Intake
Chen Yao, University of Wisconsin; Xiaojin Zhu, Department of Computer Science University of Wisconsin; Kent A. Weigel, University of Wisconsin
Recorded Presentation (flv)
11:30 AM
071
A Single Step SNP Model Applied to Test-Day Data of Dairy Cows
Zengting Liu, vit Germany
Recorded Presentation (flv)
11:45 AM
072
Haplotype Based Genome-Enabled Prediction of Traits Across Nordic Red Cattle Breeds
Beatriz Castro Dias Cuyabano, Aarhus University
Recorded Presentation (flv)
See more of: Genetic Improvement Programs: Selection using molecular information
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