Volume Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, Proceedings of the World Congress on Genetics Applied to Livestock Production


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D. Gianola, “Statistical learning methods for genome‐based analysis of quantitative traits”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0014, 2010. (431.59 KB)
F. F. Cardoso, Alencar, M., and Tempelman, R. J., “Genotype by environment interaction and prediction of genetic merit”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0015, 2010. (171.09 KB)
K. Meyer and Kirkpatrick, M., “Bending over Backwards: Better Estimates of Genetic Covariance Matrices by Penalized REML”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0061, 2010. (104.74 KB)
D. Sorensen, “Quantitative Genetics of Environmental Variation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0072, 2010. (201.79 KB)
L. Rönnegård and Lee, Y., “Hierarchical generalized linear models have a great potential in genetics and animal breeding”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0095, 2010. (51.89 KB)
A. Legarra, Robert-Granié, C., Croiseau, P., GUILLAUME, F., FRITZ, S., and Ducrocq, V., “Aptitude of Bayesian Lasso for genomic selection”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0118, 2010. (103.12 KB)
U. Ober, Erbe, M., Schlather, M., and Simianer, H., “Kernel-Based BLUP with Genomic Data”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0126, 2010. (189.89 KB)
R. F. Veerkamp, Mulder, H. A., and Calus, M. P. L., “Estimation of heritability for dairy traits, combining pedigree with dense SNP information on some animals”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0138, 2010. (45.9 KB)
H. Mulder, Rönnegård, L., and Veerkamp, R. F., “Prediction of breeding values for mean and environmental variance with an iterative BLUP-procedure”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0333, 2010. (33.58 KB)
C. COLOMBANI, Legarra, A., Croiseau, P., GUILLAUME, F., FRITZ, S., Ducrocq, V., and Robert-Granie, C., “Application of PLS and Sparse PLS regression in Genomic Selection”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0439, 2010. (185.41 KB)
D. Habier, Fernando, R. L., Kizilkaya, K., and Garrick, D. J., “Extension Of The Bayesian Alphabet For Genomic Selection”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0468, 2010. (149.46 KB)
delos G Campos, Gianola, D., Rosa, G. J. M., Weigel, K. A., Vazquez, A. I., and Allison, D. B., “Semi-Parametric Marker-enabled Prediction of Genetic Values using Gaussian Processes”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0520, 2010. (129.18 KB)
M. Erbe, Pimentel, E., Sharifi, A. R., and Simianer, H., “Assessment of cross-validation strategies for genomic prediction in cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0553, 2010. (62.34 KB)
A. - M. Tyrisevä, Meyer, K., Fikse, F., Ducrocq, V., Lidauer, M., Mäntysaari, E. A., and Jakobsen, J., “Principal Component and Factor Analytic ModelsIn International Sire Evaluation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0718, 2010. (103.88 KB)
Y. Zhang, Tier, B., and Hawken, R., “Whole Genome Analysis of Heifer Puberty in Brahman Cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0761, 2010. (325.83 KB)
H. Jorjani, “Validation of Genomic Evaluation Models”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0801, 2010. (56.63 KB)
K. Hanford, Thallman, M., Kachman, S. D., Kuehn, L., Quaas, R., Tempelman, R. J., Fernando, R. L., and Pollak, E. J., “Estimation of The Proportion of Variation Accounted For By DNA Tests. I. Genetic Variance”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0822, 2010. (35.05 KB)
R. J. Tempelman and Yang, W., “A Bayesian antedependence model to account for linkage disequilibrium in whole genome selection”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0908, 2010. (118.62 KB)
J. Franzén, Thorburn, D., Urioste, J. I., and Strandberg, E., “Use Of Transition Probabilities For Estimation Of Mastitis Resistance”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0913, 2010. (44.88 KB)
M. Thallman, Hanford, K., Kachman, S. D., Kuehn, L., Quaas, R., Tempelman, R. J., Fernando, R. L., and Pollak, E. J., “Estimation of the Proportion of Variation Accounted for by DNA Tests. II. Phenotypic Variance”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and tools: Statistical methods - linear and non-linear models - Lecture Sessions, p. 0918, 2010. (38.82 KB)