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Filters: Author is Guosheng Su  [Clear All Filters]
2018
S. Gajjar, Guldbrandtsen, B., Su, G., Nayee, N. Kumar, Sahana, G., Trivedi, K., and Lund, M., Breed-of-origin specific genomic relationship matrix improves genomic prediction accuracy in crossbred Holstein Friesian cattle in India, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Theory to Application 3, p. 754, 2018. (182.59 KB)
G. Su, Madsen, P., Nielsen, B., Ostersen, T., Shirali, M., Jensen, J., and Christensen, O., Efficiency of group records for prediction of breeding values, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools - Prediction 3, p. 565, 2018. (451.81 KB)
N. Kumar Nayee, Su, G., Gajjar, S., Sahana, G., Saha, S., Trivedi, K., Guldbrandtsen, B., and Lund, M., Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Theory to Application - 1, p. 411, 2018. (223.06 KB)
G. Su, Gordo, D., LI, B., Aamand, G., Lund, M., and Lassen, J., Genomic prediction for dry matter intake in Nordic Holsteins, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Methods and Tools - Prediction 2, p. 474, 2018. (161.44 KB)
M. Teka Anche, Su, G., Karaman, E., Janss, L. L., and Lund, M., Genomic prediction using multi-trait model with heterogeneous genomic (co)variance, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools - Models and Computing Strategies 2, p. 284, 2018. (426.73 KB)
T. Villumsen, Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G., and Lund, M. S., Genomic selection in mink yield higher accuracies with a Bayesian approach allowing for heterogeneous variance than a GBLUP model., Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools - Prediction 2, p. 618, 2018. (179.26 KB)
M. Henryon, Liu, H., Berg, P., Su, G., Nielsen, H. Marie, and Sørensen, A. Christian, Optimum-contribution selection using pedigree relationships to control inbreeding realises more genetic gain than genomic relationships at the same rate of true inbreeding, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Gain - Breeding Strategies 2, p. 452, 2018. (150.17 KB)
E. Karaman, Lund, M. S., Anche, M. T., Janss, L., and Su, G., A two-step approach to account for heterogeneous (co)variances across the genome using GBLUP, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Methods and Tools - Prediction 2, p. 556, 2018. (183.55 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)
2014
P. Ma, Lund, M. Sandø, Nielsen, U. S., Aamand, G. P., Sørensen, A. Christian, and Su, G., Bias of genetic trend of genomic predictions based on both real and simulated dairy cattle data, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information (Posters), p. 466, 2014. (274.3 KB)
O. Fredslund Christensen, Nielsen, B., Madsen, P., and Su, G., Genomic evaluation of both purebred and crossbred performances, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information (Posters), p. 474, 2014. (1.72 MB)
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)
X. Wu, Lund, M. Sandø, Sun, D., Zhang, Q., and Su, G., Impact of Relationships between Test and Reference Animals and between Reference Animals on Reliability of Genomic Prediction, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetic Improvement Programs: Selection using molecular information (Posters), p. 476, 2014. (1.56 MB)
X. Guo, Christensen, O. Fredslund, Ostersen, T., Sørensen, D. Alberto, Wang, Y., Lund, M. Sandø, and Su, G., Improving Genetic Evaluation of Litter Size Using a Single-step Model, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Species Breeding: Swine, p. 383, 2014. (1.81 MB)
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)