Volume Method and Tools - Prediction 1, Proceedings of the World Congress on Genetics Applied to Livestock Production


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T. Lopdell, Tiplady, K., and Littlejohn, M., “Using RNAseq data to improve genomic selection in dairy cattle”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 49, 2018. (214.5 KB)
M. Goddard, MacLeod, I., Kemper, K., Xiang, R., van den Berg, I., Khansefid, M., Daetwyler, H., and Hayes, B., “The use of multi-breed reference populations and multi-omic data to maximize accuracy of genomic prediction”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 115, 2018. (239.98 KB)
Bde Oliveir Fragomeni, Lourenco, D. Andressa L., Tooker, M. E., VanRaden, P. M., Legarra, A., and Misztal, I., “Use of causative variants and SNP weighting in a single-step GBLUP context”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 140, 2018. (207.41 KB)
M. Khansefid, Bolormaa, S., Swan, A., Van Der Werf, J., Moghaddar, N., Duijvesteijn, N., Daetwyler, H., and MacLeod, I., “Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian models”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 253, 2018. (1.22 MB)
B. Harris, Sherlock, R. G., Couldrey, C., Keehan, M., and Tiplady, K., “The use of sequence SNP in a marker model for an across-breed dairy cattle genomic evaluation”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 340, 2018. (909.72 KB)
N. Moghaddar, MacLeod, I., Duijvesteijn, N., Bolormaa, S., Khansefid, M., Al-Mamun, H. A., Clark, S., Swan, A., Daetwyler, H., and Van Der Werf, J., “Genomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populations”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 456, 2018. (334.04 KB)
A. Liu, Lund, M., Boichard, D., Fritz, S., Karaman, E., Wang, Y., and Su, G., “Using additional single nucleotide polymorphisms selected from whole genome sequence data for genomic prediction in Danish Jersey”, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Method and Tools - Prediction 1, p. 586, 2018. (207.07 KB)