Iso-Touru, T., Wurmser, C., Venhoranta, H., Hiltpold, M., Savolainen, T., Sironen, A., Fischer, K., Flisikowski, K., Fries, R., Vicente-Carrillo, A., Alvarez-Rodriguez, M., Nagy, S., Mutikainen, M., Peippo, J., Taponen, J., Sahana, G., Guldbrandtsen, B., Simonen, H., Rodriguez-Martinez, H. ... Pausch, H. (2019). A splice donor variant in CCDC189 is associated with asthenospermia in Nordic Red dairy cattle. BMC Genomics, 20(1), Article 286. https://doi.org/10.1186/s12864-019-5628-y

Henryon, M., Liu, H., Berg, P., Su, G., Nielsen, H. M., Gebregiwergis, G. T. & Sørensen, A. C. (2019). Pedigree relationships to control inbreeding in optimum-contribution selection realise more genetic gain than genomic relationships. Genetics Selection Evolution, 51(1), Article 39. https://doi.org/10.1186/s12711-019-0475-5

Heidaritabar, M., Bijma, P., Janss, L., Bortoluzzi, C., Nielsen, H. M., Madsen, P., Ask, B. & Christensen, O. F. (2019). Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter. Genetics Selection Evolution, 51(1), 24. Article 24. https://doi.org/10.1186/s12711-019-0466-6

Geissmann, Q., Beckwith, E. J. & Gilestro, G. F. (2019). Most sleep does not serve a vital function: Evidence from Drosophila melanogaster. Science Advances, 5(2), Article eaau9253. https://doi.org/10.1126/sciadv.aau9253

Geissmann, Q., Rodriguez, L. G., Beckwith, E. J. & Gilestro, G. F. (2019). Rethomics: An R framework to analyse high-throughput behavioural data. PLOS ONE, 14(1), Article e0209331. https://doi.org/10.1371/journal.pone.0209331

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019). Combining multi-population datasets for joint genome-wide association and meta-analyses: The case of bovine milk fat composition traits. Journal of Dairy Science, 102(12), 11124-11141. https://doi.org/10.3168/jds.2019-16676

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019). Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition. BMC Genomics, 20, Article 178. https://doi.org/10.1186/s12864-019-5573-9

Gebreyesus, G., Bovenhuis, H., Lund, M. S., Poulsen, N. A., Sun, D. & Buitenhuis, B. (2019). Reliability of genomic prediction for milk fatty acid composition by using a multi-population reference and incorporating GWAS results. Genetics Selection Evolution, 51(1), Article 16. https://doi.org/10.1186/s12711-019-0460-z

Garnsworthy, P. C., Difford, G. F., Bell, M. J., Bayat, A. R., Huhtanen, P., Kuhla, B., Lassen, J., Peiren, N., Pszczola, M., Sorg, D., Visker, M. H. P. W. & Yan, T. (2019). Comparison of methods to measure methane for use in genetic evaluation of dairy cattle. Animals, 9(10), Article 837. https://doi.org/10.3390/ani9100837

Gao, H., Madsen, P., Aamand, G. P., Thomasen, J. R., Sørensen, A. C. & Jensen, J. (2019). Bias in estimates of variance components in populations undergoing genomic selection: a simulation study. BMC Genomics, 20(1), Article 956. https://doi.org/10.1186/s12864-019-6323-8

Gao, H., Nielsen, B., Su, G., Madsen, P., Jensen, J., Christensen, O. F., Ostersen, T. & Shirali, M. (2019). Use of Repeated Group Measurements with Drop Out Animals for Variance Component Estimation and Genetic Evaluation: A Simulation Study. G3: Genes, Genomes, Genetics, 9(9), 2935-2940. https://doi.org/10.1534/g3.119.400484

Gan, Q. F., Li, Y. R., Lund, M., Su, G. S. & Liang, X. W. (2019). Genome-wide association study identifies loci linked to serum electrolyte traits in Chinese Holstein cattle. Animal Genetics, 50(6), 744-748. https://doi.org/10.1111/age.12851

Fan, H., Hou, Y., Sahana, G., Gao, H., Zhu, C., Du, L., Zhao, F. & Wang, L. (2019). A Transcriptomic Study of the Tail Fat Deposition in Two Types of Hulun Buir Sheep According to Tail Size and Sex. Animals, 9(9), Article 655. https://doi.org/10.3390/ani9090655

Due, H., Schönherz, A. A., Ryø, L., Primo, M. N., Jespersen, D. S., Thomsen, E. A., Roug, A. S., Xiao, M., Tan, X., Pang, Y., Young, K. H., Bøgsted, M., Mikkelsen, J. G. & Dybkær, K. (2019). MicroRNA-155 controls vincristine sensitivity and predicts superior clinical outcome in diffuse large B-cell lymphoma. Blood Advances, 3(7), 1185-1196. https://doi.org/10.1182/bloodadvances.2018029660

de los Campos, G., Sorensen, D. A. & Toro, M. A. (2019). Imperfect linkage disequilibrium generates phantom epistasis (& perils of big data). G3: Genes, Genomes, Genetics, 9(5), 1429-1436. https://doi.org/10.1534/g3.119.400101

Clasen, J. B., Lehmann, J. O., Thomasen, J. R., Østergaard, S. & Kargo, M. (2019). Combining extended lactation with sexed semen in a dairy cattle herd: Effect on genetic and total economic return. Livestock Science, 223, 176-183. https://doi.org/10.1016/j.livsci.2019.03.001

Clasen, J. B., Fogh, A. & Kargo, M. (2019). Differences between performance of F1 crossbreds and Holsteins at different production levels. Journal of Dairy Science, 102(1), 436-441. https://doi.org/10.3168/jds.2018-14975

Chu, T. T., Bastiaansen, J. W. M., Berg, P. & Komen, H. (2019). Optimized grouping to increase accuracy of prediction of breeding values based on group records in genomic selection breeding programs. Genetics Selection Evolution, 51(1), Article 64. https://doi.org/10.1186/s12711-019-0509-z

Chu, T. T., Bastiaansen, J. WM., Berg, P., Rome, H. J. S., Marois, D., Henshall, J. & Jensen, J. (2019). Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments. Genetics Selection Evolution, 51, Article 50. https://doi.org/10.1186/s12711-019-0493-3

Christensen, O. F., Nielsen, B., Su, G., Xiang, T., Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2019). A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs. Genetics Selection Evolution, 51(1), Article 45. https://doi.org/10.1186/s12711-019-0486-2

Chen, M., Su, G., Fu, J., Wang, A., Liu, J. F., Lund, M. S. & Guldbrandtsen, B. (2019). Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs. Evolutionary Applications, 12(2), 292-300. https://doi.org/10.1111/eva.12716

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle. BMC Genetics, 20, Article 15. https://doi.org/10.1186/s12863-019-0717-0

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Prioritizing candidate genes for fertility in dairy cows using gene-based analysis, functional annotation and differential gene expression. BMC Genomics, 20, Article 255. https://doi.org/10.1186/s12864-019-5638-9

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle. Genetics Selection Evolution, 51(1), 20. Article 20. https://doi.org/10.1186/s12711-019-0463-9

Buitenhuis, B., Lassen, J., Noel, S. J., Plichta, D. R., Sørensen, P., Difford, G. F. & Poulsen, N. A. (2019). Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle. Genetics Selection Evolution, 51(1), Article 23. https://doi.org/10.1186/s12711-019-0464-8

Bornhofen, E., Ramires, T. G., Bergonci, T., Nakamura, L. R. & Righetto, A. J. (2019). Associations between global indices of risk management and agricultural development. Agricultural Systems, 173, 281-288. https://doi.org/10.1016/j.agsy.2019.03.006

Bordbar, F., Jensen, J., Zhu, B., Wang, Z., Xu, L., Chang, T., Xu, L., Du, M., Zhang, L., Gao, H., Xu, L. & Li, J. (2019). Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing. PLOS ONE, 14(10), Article e0223671. https://doi.org/10.1371/journal.pone.0223671

Aliakbari, A., Ehsani, A., Vaez Torshizi, R., Løvendahl, P., Esfandyari, H., Jensen, J. & Sarup, P. (2019). Genetic variance of metabolomic features and their relationship with body weight and body weight gain in Holstein cattle. Journal of Animal Science, 97(9), 3832-3844. https://doi.org/10.1093/jas/skz228

Alexandre, P., Porto-Neto, L., Karaman, E., Lehnert, S. & Reverter, A. (2019). Pooled genotyping strategies for the rapid construction of genomic reference populations. Journal of Animal Science, 97(12), 4761– 4769. https://doi.org/10.1093/jas/skz344

2018

Christensen, O. F., Kongsted, H. & Lund, M. S., (2018). Evaluering af avl for LG5, No. 2018-760-000656, 35 p., Jun 01, 2018.

2018

Contribution to conference

Slagboom, M., Wallenbeck, A., Rydhmer, L., Thomasen, J. R. & Kargo, M. (2018). Breeding Goals for Organic Dairy Farming in Denmark Based on the Principles of Organic Agriculture. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Liu, A., Kargo, M., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y. & Su, G. (2018). Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Kargo, M., Thomasen, J. R., Wallenbeck, A., Hjortø, L. & Slagboom, M. (2018). Organic dairy breeding lines? – Possibilities and Requirements. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Gao, H., Madsen, P., Aamand, G. & Jensen, J. (2018). Estimation of variance components in populations under genomic selection. Paper presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Zhang, H., Xu, W., Li, X., Luo, H., Liu, A. & Wang, Y. (2018). Genetic analysis of skinfold thickness and its association with body condition score, and milk production traits in Chinese Holstein population. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Zaalberg, R. M., Shetty, N., Janss, L. & Buitenhuis, A. J. (2018). Genetic analysis of Fourier transform infrared milk spectra for Danish Holstein and Danish Jersey. 302. Abstract from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Yan, X., Liu, A., Dong, G., Guo, G., Li, X., Su, G. & Wang, Y. (2018). Genetic analysis of productive life in Chinese Holstein population. Abstract from 5th International Conference on Quantitative Genetics, Madison, United States.

Thomasen, J. R., Lassen, J., Gunner Brink Nielsen, G., Borggard, C., Bolvig Stentebjerg, P. R., Hjort Hansen, R., Worsøe Hansen, N. & Borchersen, S. (2018). Individual cow identification in a commercial herd using 3D camera technology. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand. http://www.wcgalp.org/proceedings/2018/individual-cow-identification-commercial-herd-using-3d-camera-technology

Slagboom, M., Mulder, H. A., Sørensen, A. C., Hjortø, L., Thomasen, J. R. & Kargo, M. (2018). Effects of specific breeding lines for organic dairy production in Denmark. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Shirali, M., Nielsen, B. J., Ostersen, T., Christensen, O. F., Madsen, P., Su, G. & Jensen, J. (2018). Modelling of grouped recorded data for different population structures in pig breeding. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Shetty, N., Janss, L., Zaalberg, R. M., Kargo, M. & Buitenhuis, A. J. (2018). Lactation stage dependent genome-wide association mapping for longitudinal data of milk fatty acids in dairy cattle using Bayesian mixture models. 321. Abstract from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Sarup, P. M., Jensen, J., Ostersen, T., Christensen, O. F. & Sørensen, P. (2018). H1 NMR metabolomic phenotypic prediction of growth in pigs. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Poulsen, N. A., C. Robinson, R., Buitenhuis, A. J., Sundekilde, U. K., Lemay, D. G., Barile, D., Larsen, L. B. & Holm, L.-E. (2018). GWAS and expression of candidate genes for oligosaccharide synthesis in Danish dairy breeds. Abstract from 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, United States.

Poulsen, N. A., Buitenhuis, A. J., Le, T. T. T., Gregersen, V. R., Lindahl, I. E. I., Christensen, B. S., Sørensen, E. S. & Larsen, L. B. (2018). Milk Genomics: Variation in Danish Dairy milk and its possible exploitation in the dairy chain. Abstract from 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, United States.

Nielsen, B. J., Gao, H., Ostersen, T., Su, G., Jensen, J., Madsen, P. & Shirali, M. (2018). Group recordings accounted for drop out animals. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Milkevych, V., Madsen, P., Gao, H. & Jensen, J. (2018). Efficient block-Gibbs sampling in variance component estimation for predictions which combine phenotypic and genomic information. 468. Abstract from ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Adjusting for Macro-Environmental Sensitivity in Growth rate of Danish Landrace and Duroc Pigs. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Liu, A., Wang, Y., Lund, M. S. & Su, G. (2018). Genome-wide association study for female fertility traits in Chinese Holstein population. Abstract from 5th International Conference on Quantitative Genetics, Madison, United States.

Guldbrandtsen, B., Nielsen, V. H. & Schönherz, A. (2018). Case Studies using Molecular Data in Breed Conservation. Abstract from Workshop on Genomic Selection. Espoo 2018, Helsinki, Finland.

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2018). Genome-wide association study of the de novo synthesized milk fatty acids based on Dutch, Danish and Chinese Holstein Friesians. 141. Abstract from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Chu, T. T., Madsen, P., Wang, L., Henshall, J., Hawken, R. & Jensen, J. (2018). Influence of age on variance components for bodyweight in commercial male and female broiler chicken. Abstract from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

Cao, L. (2018). Effect of G×E on Breeding Cooperation Using Genomic Selection. Abstract from 12th World Conference on Animal Production (WCAP) & 2018 ASAS-CSAS Annual Meeting, Vancouver, British Columbia, Canada.

Ankamah-Yeboah, T., Janss, L., Hjortshøj, R. L. & Rasmussen, S. K. (2018). Genomic Selection in Winter Barley: A comparison of One-Step and Two-Step Approach. Abstract from Plant Biology Europe 2018, Copenhagen, Denmark.

Rohde, P. D., Sørensen, I. F. & Sørensen, P. (2018). Genomic Feature Prediction Models - Improved Prediction Accuracy by Joint Marker Estimation. Poster session presented at ESHG 2018: European Society of Human Genetics, Milano, Italy.

Nayee, N. K., Su, G., Gajjar, S. G., Sahana, G., Saha, S., Trivedi, K. R., Guldbrandtsen, B. & Lund, M. S. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. Poster session presented at The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Madsen, P., Milkevych, V., Gao, H., Christensen, O. F. & Jensen, J. (2018). DMU - A Package for Analyzing Multivariate Mixed Models in Quantitative Genetics and Genomics. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Genetic variance in macro-environmental sensitivity in growth rate in Danish Duroc pigs. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2018). A two-step approach to account for heterogeneous (co)variances across the genome using GBLUP. Poster session presented at ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Hosseini-Vardanjani, S. M., Mahdi Shariati, M., Janss, L., Christensen, O. F., Anche, M. T. & Lund, M. S. (2018). Accounting for breed origin of alleles increase accuracy of genomic prediction in admixed populations. Poster session presented at World Congress on Genetics Applied to Livestock Production, Auckland, New Zealand.

Demirovic, D., Buitenhuis, A. J., Poulsen, N. A., Munk, A. & Kargo, M. (2018). Large scale screening of the Danish dairy cattle population for their milk fatty acid profile. Poster session presented at IDF World Dairy Summit 2018, Daejeon, Korea, Republic of.

2018

Contribution to book anthology

Larsen, M., Buitenhuis, A. J., Hedemann, M. S. & Sehested, J. (2018). Prediction of individual dairy cow performance using LC-MS metabolome spectra. In R. Baumont, M. Silberberg & I. Cassar-Malek (Eds.), Proceedings of the 10th International Symposium on the Nutrition of Herbivores (Vol. 9). Article 623 Cambridge University Press.

Difford, G., Gebreyesus, G., Løvendahl, P., Buitenhuis, A. J., Lassen, J., Guldbrandtsen, B. & Sahana, G. (2018). Can rumen microbes improve prediction of subclinical ketosis in dairy cows? In S. C. (Ed.), Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science (Vol. 24). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-871-1

Villumsen, T. M., Thirstrup, J. P., Lund, M. S. & Malmkvist, J. (2018). Selektion for mere tillidsfulde mink medfører ikke tilbagegang for størrelse, kvalitet og frugtbarhed. In Faglig årsberetning 2017: Kopenhagen Fur Research Annual Report 2017 (pp. 16-21) https://issuu.com/kopenhagenfur/docs/289208__rsberetning_2017

Villumsen, T. M., Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G. & Lund, M. S. (2018). Genomic selection in mink yield higher accuracies with a Bayesian approach allowing for heterogeneous variance than a GBLUP model. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Article 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

Su, G., Madsen, P., Nielsen, B., Ostersen, T., Shirali, M., Jensen, J. & Christensen, O. F. (2018). Efficiency of group records for prediction of breeding values. In Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Methods and Tools - Prediction 3 (pp. 1-6). Article 11.565 WCGALP. http://www.wcgalp.org/proceedings/2018/efficiency-group-records-prediction-breeding-values

Su, G., Mansan Gordo, D. G., Li, B., Aamand, G., Lund, M. S. & Lassen, J. (2018). Genomic prediction for dry matter intake in Nordic Holsteins. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 (Vol. Volume Electronic Poster Session - Methods and Tools - Prediction 2). Article 474 WCGALP. http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-dry-matter-intake-nordic-holsteins.pdf

Stephansen, R. B., Lassen, J., Ettema, J. & Kargo, M. (2018). The economic value of saved feed in dairy cattle breeding goals. In Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science: EAAP Book of Abstracts, Volume 24 (Vol. 24). Wageningen Academic Publishers. https://docs.eaap.org/2018/Session45/S45_08_Stephansen.pdf

Rovere, G. A., Madsen, P., Christiansen, K., Holm, M. & Lund, M. S. (2018). Prevalence and genetic variability of osteochondrosis in Danish Warmblood horses. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 11.929 http://www.wcgalp.org/system/files/proceedings/2018/prevalence-and-genetic-variability-osteochondrosis-danish-warmblood-horses.pdf

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Christensen, B. S., Sørensen, E. S., Larsen, L. B. & Buitenhuis, A. J. (2018). Genetic parameter estimation of high value milk proteins and whey to casein ratio in Danish Holstein. In Proceedings of the 11th World Congress on Genetics Applied to Livestock Production (WCGALP), Auckland, New Zealand Article 312

Nielsen, H.-M., Ask, B., Christensen, O. F., Janss, L., Heidaritabar, M. & Madsen, P. (2018). Social genetic effects for growth in Landrace pigs with varying group sizes. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 11.212 http://www.wcgalp.org/system/files/proceedings/2018/social-genetic-effects-growth-landrace-pigs-varying-group-sizes.pdf

Nayee, N. K., Su, G., Gajjar, S., Sahana, G., Saha, S., Trivedi, K. R., Guldbrandtsen, B. & Lund, M. S. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Theory to Application - 1 (Vol. 11). Article 11.411 http://www.wcgalp.org/proceedings/2018/genomic-prediction-single-step-genomic-blup-using-cow-reference-population-holstein

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 3 (Vol. 11). Article 662 http://www.wcgalp.org/proceedings/2018/genotype-call-chromosomal-deletions-using-read-depth-whole-genome-sequence-variants

Marete, A. G., Janss, L., Guldbrandtsen, B., Hoze, C., Sahana, G., Boichard, D. A. & Lund, M. S. (2018). Exploring non-additive variance using genome-wide dense SNP in four French and Nordic dairy cattle breeds. In Proceedings of the World Congress on Genetics Applied to Livestock Production Article 70

Luo, H., Xu, W., Liu, A., Li, X., Liu, L. & Wang, Y. (2018). Genome-wide association study for rectal temperature in Chinese Holstein population. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Article 587 http://www.wcgalp.org/system/files/proceedings/2018/genome-wide-association-study-rectal-temperature-chinese-holstein-population.pdf

Liu, A., Lund, M. S., Boichard, D., Fritz, S., Karaman, E., Wang, Y. & Su, G. (2018). Using additional single nucleotide polymorphisms selected from whole genome sequence data for genomic prediction in Danish Jersey. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Article 586 http://www.wcgalp.org/system/files/proceedings/2018/using-additional-single-nucleotide-polymorphisms-selected-whole-genome-sequence-data-genomic.pdf

Guldbrandtsen, B., Cai, Z., Sahana, G., Villumsen, T. M., Asp, T., Thomsen, B. & Lund, M. S. (2018). Genomics using the Assembly of the Mink Genome. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 1 Article 539 http://www.wcgalp.org/proceedings/2018/genomics-using-assembly-mink-genome

Gajjar, S. G., Guldbrandtsen, B., Su, G., Nayee, N. K., Sahana, G., Trivedi, K. R. & Lund, M. S. (2018). Breed-of-origin specific genomic relationship matrix improves genomic prediction accuracy in crossbred Holstein Friesian cattle in India. In Proceedings of the World Congress on Genetics Applied to Livestock Production 2018: Volume theory to application (Vol. 3). Article 11.754 http://www.wcgalp.org/proceedings/2018/breed-origin-specific-genomic-relationship-matrix-improves-genomic-prediction

Gajjar, S. G., Guldbrandtsen, B., Nayee, N. G., Sudhakar, A., Trivedi, K. R., Lund, M. S. & Sahana, G. (2018). Genetic composition, divergence, admixture and use of ancestry informative markers in indigenous breeds of cattle in India. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Species Conservation Article 585 http://www.wcgalp.org/archive?f%5Bauthor%5D=14045

Difford, G. F., Løvendahl, P., Lassen, J., Guldbrandtsen, B. & Sahana, G. (2018). Microbiability – new insights into (genetic) modelling methane emissions of cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Environmental (Vol. 11). Article 405 http://www.wcgalp.org/proceedings/2018/microbiability%E2%80%93-new-insights-genetic-modelling-methane-emissions-cattle

Boichard, D. A., Boussaha, M., Capitan, A., Rocha, D., Hoze, C., Sanchez, M.-P., Tribout, T., Letaief, R., Croiseau, P., Grohs, C., Li, W., Harland, C., Charlier, C., Lund, M. S., Sahana, G., Georges, M., Barbier, S., Coppieters, W., Fritz, S. & Guldbrandtsen, B. (2018). Experience from large scale use of the EuroGenomics custom SNP chip in cattle. In Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Molecular Genetics 4 (Vol. 11). Article 11.675 http://www.wcgalp.org/proceedings/2018/experience-large-scale-use-eurogenomics-custom-snp-chip-cattle

Anche, M. T., Su, G., Karaman, E., Janss, L. & Lund, M. S. (2018). Genomic prediction using multi-trait model with heterogeneous genomic (co)variance. In Proceedings of the World Congress on Genetics Applied to Livestock, 2018 (Vol. Volume Methods and Tools - Models and Computing Strategies 2, pp. 1-6). Article 284 http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-using-multi-trait-model-heterogeneous-genomic-covariance.pdf

Villumsen, T. M. & Lund, M. S. (2018). Anvendelse af auktionsdata i minkavlen. In S. H. Møller & J. Malmkvist (Eds.), Temadag om aktuel minkforskning: DCA Rapport nr. 129, September 2018 (pp. 30-36). http://web.agrsci.dk/djfpublikation/index.asp?action=show&id=1272

Vagndorf, N. J., Kristensen, P. S., Andersen, J. R., Jahoor, A. & Orabi, J. (2018). Marker-assisted plant breeding in wheat. In Y. O. Çiftçi (Ed.), Next Generation Plant Breeding (pp. 107). InTechOpen. https://doi.org/10.5772/intechopen.74724

2018

Book anthology

Zhang, Q. (2018). Exploiting whole genome sequence variants in cattle breeding Unraveling the distribution of genetic variants and role of rare variants in genomic evaluation: Unraveling the distribution of genetic variants and role of rare variants in genomic evaluation.

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