Genetic and Genomic Methods

Tuesday, July 22, 2014: 2:00 PM-5:00 PM
2504 (Kansas City Convention Center)
Moderator:
John B Cole
2:00 PM
163
Evaluation of predictive ability of Cholesky factorization of genetic relationship matrix for additive and non-additive genetic effect using Bayesian regularized neural network
Hayrettin Okut, University of Yuzuncu Yil; Daniel Gianola, University of Wisconsin - Madison; Kent A. Weigel, University of Wisconsin; Guilherme J.M. Rosa, University of Wisconsin - Madison
2:15 PM
164
Using recursion to compute the inverse of the genomic relationship matrix
Ignacy Misztal, University of Georgia; Andres Legarra, INRA; Ignacio Aguilar, INIA
Recorded Presentation (mp4)
2:30 PM
165
Advantage of supernodal methods in restricted maximum likelihood when dense matrices are involved in a coefficient matrix of mixed model equations
Yutaka Masuda, Obihiro University of Agriculture and Veterinary Medicine; Shogo Tsuruta, University of Georgia; Ignacy Misztal, University of Georgia
Recorded Presentation (mp4)
2:45 PM
166
Use of Genomic Recursions and APY Algorithm for Single-Step GBLUP Analyses with Large Number of Genotypes
Breno d Fragomeni, University of Georgia; Ignacy Misztal, University of Georgia; Daniela Lourenco, University of Georgia; Shogo Tsuruta, University of Georgia; Yutaka Masuda, University of Georgia
Recorded Presentation (mp4)
3:00 PM
167
Genomic Prediction Accounting For Residual Heteroskedasticity
Zhining Ou, Kansas State University; Robert J. Tempelman, Michigan State University; Juan P. Steibel, Michigan State University; Catherine W. Ernst, Michigan State University; Ronald O. Bates, Michigan State University; Nora M. Bello, Kansas State University
3:15 PM
168
Are Past Generations Contributing to Evaluations on Young Genotyped Animals?
Daniela Lourenco, University of Georgia; Ignacy Misztal, University of Georgia; Shogo Tsuruta, University of Georgia; Ignacio Aguilar, INIA; Tom J Lawlor, Holstein Association USA Inc.; Selma Forni, Genus Plc; Joel I Weller, ARO, The Volcani Center
Recorded Presentation (mp4)
3:30 PM
169
Use of Linear Models with Normal, Student-t or Slash Distributed Error for the Analysis of Quantitative Traits
Burcu Mestav, Canakkale Onsekiz Mart University; Kadir Kizilkaya, Adnan Menderes University; Sunday O Peters, New Mexico State University
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