Volume Genetic Improvement Programs: Selection using molecular information, Proceedings of the World Congress on Genetics Applied to Livestock Production


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D. J. Garrick, Dekkers, J. C. M., Golden, B. L., and Fernando, R. L., “Bayesian prediction combining genotyped and non-genotyped individuals”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 053, 2014. (4.44 MB)
V. Ducrocq, Croiseau, P., Baur, A., Saintilan, R., Fritz, S., and Boichard, D., “Genomic evaluation using QTL information”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 054, 2014. (297.2 KB)
Gde los Campos, Sorensen, D. A., and Gianola, D., “Genomic Heritability: What Is It?”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 055, 2014. (297.2 KB)
R. Wellmann, Ertl, J., Emmerling, R., Edel, C., Götz, K. - U., and Bennewitz, J., “Joint genomic evaluation of cows and bulls with BayesD for prediction of genotypic values and dominance deviations”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 056, 2014. (112.05 KB)
M. Pszczola, Strabel, T., and Calus, M. P. L., “Size of required reference population updates to achieve constant genomic prediction accuracy across generations”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 057, 2014. (58.46 KB)
Y. Miar, Plastow, G., Bruce, H., Kemp, R., Charagu, P., Zhang, C., Huisman, A., and Wang, Z., “Genomic Selection of Pork pH in Purebred Pigs for Crossbred Performance”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 058, 2014. (171.29 KB)
E. N. Amuzu-Aweh, Bovenhuis, H., de Koning, D. - J., and Bijma, P., “Prediction of Heterosis in White Leghorn Crossbreds using Paternal 60K SNP Genotypes”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 059, 2014. (155.75 KB)
G. Su, Nielsen, U. S., Wiggans, G. R., Aamand, G. P., Guldbrandtsen, B., and Lund, M. Sandø, “Improving genomic prediction for Danish Jersey using a joint Danish-US reference population”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 060, 2014. (75.94 KB)
H. Esfandyari, Sørensen, A. Christian, and Bijma, P., “Maximizing crossbred performance through purebred genomic selection”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 061, 2014. (154.85 KB)
N. Moghaddar and van der Werf, J. H. J., “Genomic estimation of additive and dominance genetic variance and their effect on the accuracy of genomic prediction of sheep”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 062, 2014. (140.87 KB)
R. F. Brøndum, Su, G., Janss, L., Sahana, G., and Lund, M. Sandø, “Genomic prediction using QTL derived from whole genome sequence data”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 063, 2014. (145.36 KB)
M. P. L. Calus, Huang, H., Wientjes, Y. C. J., Napel, Jten, Bastiaansen, J. W. M., Price, M. D., Veerkamp, R. F., Vereijken, A., and Windig, J. J., “(A)cross-breed Genomic Prediction”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 064, 2014. (397.62 KB)
M. Saatchi and Garrick, D. J., “Across breed genomic predictions in beef cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 065, 2014. (120.19 KB)
B. L. Harris, “Across-breed genomic prediction in dairy cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 066, 2014. (553.27 KB)
F. Tiezzi and Maltecca, C., “Genomic prediction using a weighted relationship matrix to account for trait architecture in US Holstein cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 067, 2014. (152.1 KB)
G. Gorjanc, Woolliams, J. A., and Hickey, J. M., “Hierarchical Quantitative Genetic Model Using Genomic Information”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 068, 2014. (152.1 KB)
I. Strandén and Mäntysaari, E. A., “Comparison of Some Equivalent Equations to Solve Single-Step GBLUP”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 069, 2014. (147.38 KB)
C. Yao, Zhu, X., and Weigel, K. A., “Semi-Supervised Learning Combining Phenotyped and Non-phenotyped individuals for Enhancing Prediction in Residual Feed Intake”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 070, 2014. (254.93 KB)
Z. Liu, “A Single Step SNP Model Applied to Test-Day Data of Dairy Cows”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 071, 2014. (103.4 KB)
B. Castro Dia Cuyabano, “Haplotype Based Genome-Enabled Prediction of Traits Across Nordic Red Cattle Breeds”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 072, 2014. (132.95 KB)
A. Brown, Banos, G., Coffey, M. P., Woolliams, J. A., and Mrode, R., “Holstein-Friesian Relationships and the Impact on the Accuracy of an Across-Breed Evaluation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 073, 2014. (263.38 KB)
Y. C. J. Wientjes, Calus, M. P. L., Goddard, M. E., and Hayes, B. J., “Effect of genetic architecture on accuracy of multi breed genomic prediction”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 074, 2014. (142.95 KB)
A. Legarra, Christensen, O. Fredslund, Vitezica, Z. G., Aguilar, I., and Misztal, I., “Across-Breeds Ancestral Relationships and Metafounders for Genomic Evaluation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 075, 2014. (153.63 KB)
A. M. Hidalgo, Bastiaansen, J. W. M., Lopes, M. S., Harlizius, B., Groenen, M. A. M., and de Koning, D. - J., “Accuracy of Genomic Breeding Values Predicted Within and Across Breeds in Pig Populations”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 076, 2014. (118.63 KB)
R. Rekaya, “Genomic Selection in Admixed Populations”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 077, 2014. (100.17 KB)
L. Plieschke and Edel, C., “Influence of Foreign Genotypes on Genomic Breeding Values of National Candidates in Brown Swiss”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 078, 2014. (349.22 KB)
E. A. Mäntysaari, “Challenges in Industry Application of Genomic Prediction - Experiences from dairy cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 079, 2014. (203.44 KB)
A. Wolc, Kranis, A., Arango, J., Settar, P., Fulton, J. E., O'Sullivan, N. P., Avendaño, S., Watson, K., Preisinger, R., Habier, D., Lamont, S. J., Fernando, R. L., Garrick, D. J., and Dekkers, J. C. M., “Applications of Genomic Selection in Poultry”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 080, 2014. (111.92 KB)
J. Ødegård, Moen, T., Santi, N., Korsvoll, S. A., Kjøglum, S., and Meuwissen, T. H. E., “Genomic Predictions in Aquaculture: Reliabilities in an Admixed Atlantic Salmon Population”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 081, 2014. (200.9 KB)
Ø. Nordbø, Gjerlaug-Enger, E., Aasmundstad, T., and Grindflek, E., “Genomic relationships give improved prediction ability for a selection of traits in Norsvin Landrace and Duroc”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 082, 2014. (119.52 KB)
M. Koivula, Strandén, I., Aamand, G. P., and Mäntysaari, E. A., “Effect of Cow Reference Group on Validation Accuracy of Genomic Evaluation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 083, 2014. (124.15 KB)
J. J. Ilska, Kranis, A., and Woolliams, J. A., “The Effect of Training Population Size and Chip Density on Accuracy and Bias of Genomic Predictions in Broiler Chickens”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 084, 2014. (129.34 KB)
X. Yu, Meuwissen, T. H. E., Baranski, M., and Sonesson, A. K., “Selective Breeding Against Infectious Diseases In Atlantic Cod With Whole Genome Sequence Data”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 085, 2014. (122.41 KB)
P. R. Boddhireddy, Prayaga, K. C., Barros, P. S., Lôbo, R. B., and DeNise, S. K., “Genomic Predictions of Economically Important Traits in Nelore Cattle of Brazil”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 086, 2014. (63.06 KB)
M. Stoop, Eding, H., van Pelt, M., de Haer, L., and de Jong, G., “Using Pseudo-observations to combine Genomic and Conventional Data in the Dutch National Evaluation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information, p. 087, 2014. (175.11 KB)