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Filters: Author is Majid Khansefid  [Clear All Filters]
2018
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)
N. Duijvesteijn, Bolormaa, S., Gondro, C., Clark, S., Khansefid, M., Moghaddar, N., Swan, A. A., Stothard, P., Daetwyler, H. D., van der Werf, J. H. J., and MacLeod, I., Genome-wide association study of meat quality traits using whole-genome sequence data in a multi-breed sheep population, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools - GWAS, p. 257, 2018. (1.32 MB)
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)
H. D. Daetwyler, Jagt, C. J. Vander, Bolormaa, S., Khansefid, M., Tolkamp, A., Stothard, P., Chamberlain, A., and MacLeod, I. M., Quantifying and mitigating the impact of imperfect sequence data on downstream analyses, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Molecular Genetics 3, p. 207, 2018. (768.02 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)
2014
M. Khansefid, Pryce, J. E., Bolormaa, S., Miller, S. P., Wang, Z., Li, C., and Goddard, M. E., Increasing the Accuracy of Genomic Predictions for RFI in Dairy Cattle through Using Genomic Information from Beef Breeds, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetics of Trait Complexes: Feed intake and efficiency, p. 113, 2014. (107.14 KB)