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2018
M. Lund, Hosseini-Vardanjani, S. Mahdi, Shariati, M. Mahdi, Janss, L., Christensen, O. Fredslund, Anche, M. Teka, and Lund, M. Sandø, Accounting for breed origin of alleles increase accuracy of genomic prediction in admixed populations, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Electronic Poster Session - Methods and Tools - Prediction 2, p. 499, 2018. (349.32 KB)
A. G. Marete, Janss, L., Sahana, G., Guldbrandtsen, B., Hoze, C., Lund, M. Sando, and Boichard, D., Exploring non-additive variance using genome-wide dense SNP in four French and Nordic dairy cattle breeds, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology & Species - Bovine (dairy) 1, p. 70, 2018. (205.83 KB)
M. Heidaritabar, Bijma, P., Janss, L., Bortoluzzi, C., Nielsen, H. Marie, Ask, B., and Christensen, O. Fredslund, Models with indirect genetic effects depending on group sizes - A simulation study assessing the precision of the estimates of the dilution, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Behaviour, p. 38, 2018. (124.38 KB)
H. Marie Nielsen, Ask, B., Christensen, O. Fredslund, Janss, L., Heidaritabar, M., and Madsen, P., Social genetic effects for growth in Landrace pigs with varying group sizes, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Biology - Behaviour, p. 212, 2018. (242.97 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)
2014
L. Janss, Disentangling Pleiotropy along the Genome using Sparse Latent Variable Models, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models, p. 214, 2014. (340.23 KB)
L. Wang, Edwards, D., and Janss, L., Evaluation of antedependence model performance and genomic prediction for growth in Danish pigs, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models, p. 211, 2014. (251.6 KB)
B. Karacaören, Janss, L., and Kadarmideen, H. N., Genetic Analysis of Daily Maximum Milking Speed by a Random Walk Model in Dairy Cows, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Species Breeding: Dairy cattle (Posters), p. 815, 2014. (708.72 KB)
Sworku Alemu, Berg, P., Janss, L., Moller, S. Henrik, and Bijma, P., Genetic and non-genetic indirect effects for bite mark traits in group housed mink, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetics of Trait Complexes: Disease resistance (Posters), p. 534, 2014. (752.13 KB)
G. Sahana, Janss, L., Guldbrandtsen, B., and Lund, M. Sandø, Genetic Architecture of Milk, Fat, Protein, Mastitis and Fertility Studied Using NGS Data in Holstein Cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 194, 2014. (193.3 KB)
D. N. Do, Janss, L., Strathe, A. B., Jensen, J., and Kadarmideen, H. N., Genomic prediction and genomic variance partitioning of daily and residual feed intake in pigs using Bayesian Power Lasso models, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Genetics of Trait Complexes: Feed intake and efficiency, p. 124, 2014. (275.87 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. S. Lopes, Bastiaansen, J. W. M., Janss, L., Bovenhuis, H., and Knol, E. F., Using SNP Markers to Estimate Additive, Dominance and Imprinting Genetic Variance, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical methods - linear and nonlinear models, p. 220, 2014. (233.66 KB)