Volume Methods and Tools: Statistical methods - linear and nonlinear models (Posters), Proceedings of the World Congress on Genetics Applied to Livestock Production


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L. Rönnegård, Felleki, M., Alam, M., and Xia, “Simultaneous Estimation of Spatial and Genetic Effects Using Hierarchical Generalized Linear Models”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 686, 2014. (193.36 KB)
R. J. C. Cantet and Vitezica, Z. G., “Properties of Mendelian Residuals when regressing Breeding Values using a Genomic Covariance Matrix”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 687, 2014. (225.49 KB)
F. Fikse, “Can a model with genetic groups for Mendelian sampling deviations correct for pre-selection bias?”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 688, 2014. (243.49 KB)
C. Carre, Tusell, L., Forni, S., Gamboa, F., Gianola, D., and Manfredi, E., “Aggregation of methods for genetic prediction”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 689, 2014. (489.9 KB)
S. M. van den Berg, Schwabe, I., Fikse, F., Heuven, H. C. M., and Glas, C. A. W., “Bayesian analysis of heterogeneous residual variance in canine behaviour”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 690, 2014. (425.15 KB)
S. M. Edwards, Sarup, P. M., and Sørensen, P., “Influence of Family Structure on Variance Decomposition”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 691, 2014. (642.54 KB)
M. Nath, Pooley, C. M., Bishop, S. C., and Marion, G., “A Bayesian Modeling Framework to Integrate Genetics and Epidemiology in Field Disease Data”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 692, 2014. (360.26 KB)
A. Arakawa, Taniguchi, M., Hayashi, T., and Mikawa, S., “Variational Bayesian Method to Estimate Variance Components”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 693, 2014. (238.1 KB)
H. Cheng, Fernando, R. L., and Garrick, D. J., “Parallel Computing to Speed up Whole-Genome Analyses Using Independent Metropolis-Hastings Sampling”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 694, 2014. (223.44 KB)
Z. Zhang, He, J., Zhang, H., Gao, P., Erbe, M., Simianer, H., and Li, J., “Results of Genome Wide Association Studies Improve the Accuracy of Genomic Selection”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 695, 2014. (191.46 KB)
E. W. Brascamp, Veerkamp, R. F., and Bijma, P., “Estimation of genetic parameters and breeding values in honey bees”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 696, 2014. (234.38 KB)
I. Blunk and Reinsch, N., “Genetic variance components when fluctuating imprinting patterns are present”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 697, 2014. (218.78 KB)
K. Matilainen, Strandén, I., and Mäntysaari, E. A., “Approximation of Standard Errors of Estimates as a By-Product for MC EM REML Analysis”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 698, 2014. (240.05 KB)
P. Madsen, Jensen, J., Labouriau, R., Christensen, O. Fredslund, and Sahana, G., “DMU - A Package for Analyzing Multivariate Mixed Models in quantitative Genetics and Genomics”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 699, 2014. (260.84 KB)
Z. Hu and Yang, R. - C., “A New Nonparametric Approach to Delineating Spatial Population Genomic Variation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 700, 2014. (690.37 KB)
F. Morgante, Sorensen, D. A., Sørensen, P., Maltecca, C., and Mackay, T. F. C., “Genetic Analysis of Micro-environmental Plasticity in Drosophila melanogaster”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 701, 2014. (214.76 KB)
J. Zeng, “Genomic Prediction Within Family Combining Linkage Disequilibrium and Cosegregation Information”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 702, 2014. (217.35 KB)
Y. Masuda, Aguilar, I., Tsuruta, S., and Misztal, I., “Acceleration of computations in AI REML for single-step GBLUP models”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 703, 2014. (233.89 KB)
C. Chen, Wang, H., Yang, W., and Tempelman, R. J., “Exploring extensions and properties of expectation-maximization methods for whole genome prediction”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 704, 2014. (226.94 KB)
M. J. Yokoo, Campos, Gde los, Rosa, G. J. M., Cardoso, F. F., Sollero, B. P., Cardoso, L. Lunardini, Lôbo, R. B., and Albuquerque, L. Galvão, “Using Factor Analysis Modeling Multiple Traits in Genetic Improvement of Nelore Beef Cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 705, 2014. (274.23 KB)
J. Jiang, Zhang, Q., and Liu, J. - F., “Joint Prediction of Multiple Quantitative Traits Using a Bayesian Multivariate Antedependence Model”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 706, 2014. (409.1 KB)
P. H. Faux and Gengler, N., “Efficient approximations of the inverse of a part of the additive relationship matrix”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 707, 2014. (252.09 KB)
P. Croiseau, Fouilloux, M. - N., Jonas, D., Fritz, S., Baur, A., Ducrocq, V., Phocas, F., and Boichard, D., “Extension to Haplotypes of Genomic Evaluation Algorithms”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models (Posters), p. 708, 2014. (251.85 KB)