Publikationer

Peer-reviewed publikationer ved QGG

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

Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2018). Genomic model with correlation between additive and dominance effects. Genetics, 209(3), 711-723. https://doi.org/10.1534/genetics.118.301015

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 præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

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. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Theory to Application - 1 (Bind 11). Artikel 11.411 http://www.wcgalp.org/proceedings/2018/genomic-prediction-single-step-genomic-blup-using-cow-reference-population-holstein

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. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 (Bind Volume Electronic Poster Session - Methods and Tools - Prediction 2). Artikel 474 WCGALP. http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-dry-matter-intake-nordic-holsteins.pdf

Guo, X., Cericola, F., Fè, D., Pedersen, M. G., Lenk, I., Jensen, C. S., Jensen, J. & Janss, L. L. (2018). Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing. Frontiers in Plant Science, 9, Artikel 1165. https://doi.org/10.3389/fpls.2018.01165

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

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2018). Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome. G3: Genes, Genomes, Genetics (Bethesda), 8(11), 3549-3558. https://doi.org/10.1534/g3.118.200673

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. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Artikel 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

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 fra Plant Biology Europe 2018, Copenhagen, Danmark.

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. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 1 Artikel 539 http://www.wcgalp.org/proceedings/2018/genomics-using-assembly-mink-genome

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. Afhandling præsenteret på 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 præsenteret på The 11th World Congress on Genetics Applied to Livestock Production , 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. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 3 (Bind 11). Artikel 662 http://www.wcgalp.org/proceedings/2018/genotype-call-chromosomal-deletions-using-read-depth-whole-genome-sequence-variants

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

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 fra 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, USA.

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

Mukherjee, A., Mukherjee, S., Dhakal, R., Mech, M., Longkumer, I., Haque, N., Vupru, K., Khate, K., Jamir, I. Y., Pongen, P., Rajkhowa, C., Mitra, A., Guldbrandtsen, B. & Sahana, G. (2018). High-density Genotyping reveals Genomic Characterization, Population Structure and Genetic Diversity of Indian Mithun (Bos frontalis). Scientific Reports, 8(1), Artikel 10316. https://doi.org/10.1038/s41598-018-28718-x

Difford, G. F., Plichta, D. R., Løvendahl, P., Lassen, J., Noel, S. J., Højberg, O., Wright, A.-D. G., Zhu, Z., Kristensen, L., Nielsen, H. B., Guldbrandtsen, B. & Sahana, G. (2018). Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows. PLOS Genetics, 14(10), e1007580. Artikel e1007580. https://doi.org/10.1371/journal.pgen.1007580

Zhang, Q., Calus, M., Bosse, M., Sahana, G., Lund, M. S. & Guldbrandtsen, B. (2018). Human-Mediated Introgression of Haplotypes in a Modern Dairy Cattle Breed. Genetics, 209(4), 1305-1317. https://doi.org/10.1534/genetics.118.301143

Salleh, S. M., Mazzoni, G., Nielsen, M. O., Løvendahl, P. & Kadarmideen, H. (2018). Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics. Journal of Genetics and Genome Research, 5(1), Artikel 035. https://www.clinmedjournals.org/articles/jggr/journal-of-genetics-and-genome-research-jggr-5-035.pdf?jid=jggr

Zhang, Q., Sahana, G., Su, G., Guldbrandtsen, B., Lund, M. S. & Calus, M. P. L. (2018). Impact of rare and low-frequency sequence variants on reliability of genomic prediction in dairy cattle. Genetics Selection Evolution, 50(1), Artikel 62. https://doi.org/10.1186/s12711-018-0432-8

Liu, A. (2018). Improvement of genetic evaluation and detection of quantitative trait loci for female fertility traits in dairy cattle.

Pitkänen, T. J., Mäntysaari, E. A., Nielsen, U. S., Aamand, G. P., Madsen, P., Eriksson, J. & Lidauer, M. H. (2018). Incorporation of observations with different residual error variances into existing complex test-day models. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 11-24. https://doi.org/10.1080/09064702.2018.1541361

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 fra 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

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 fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

Schönherz, A. A., Forsberg, R., Guldbrandtsen, B., Buitenhuis, A. J. & Einer-Jensen, K. (2018). Introduction of Viral Hemorrhagic Septicemia Virus into Freshwater Cultured Rainbow Trout Is Followed by Bursts of Adaptive Evolution. Journal of Virology, 92(12), Artikel e00436-18. https://doi.org/10.1128/JVI.00436-18, https://doi.org/10.1128/JVI.00436-18

Zetouni, L., Difford, G. F., Lassen, J., Byskov, M. V., Norberg, E. & Løvendahl, P. (2018). Is rumination time an indicator of methane production in dairy cows? Journal of Dairy Science, 101(12), 11074-11085. https://doi.org/10.3168/jds.2017-14280

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 fra The 11th 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 præsenteret på IDF World Dairy Summit 2018, Daejeon, Sydkorea.

Madsen, M. D., Madsen, P., Nielsen, B., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Macro-environmental sensitivity for growth rate in Danish Duroc pigs is under genetic control. Journal of Animal Science, 96(12), 4967-4977. https://doi.org/10.1093/jas/sky376

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

Bouwman, A. C., Daetwyler, H. D., Chamberlain, A. J., Ponce, C. H., Sargolzaei, M., Schenkel, F. S., Sahana, G., Govignon-Gion, A., Boitard, S., Dolezal, M., Pausch, H., Brøndum, R. F., Bowman, P. J., Thomsen, B., Guldbrandtsen, B., Lund, M. S., Servin, B., Garrick, D. J., Reecy, J. ... Hayes, B. J. (2018). Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. Nature Genetics, 50(3), 362-372. https://doi.org/10.1038/s41588-018-0056-5

Olijhoek, D. W., Løvendahl, P., Lassen, J., Hellwing, A. L. F., Höglund, J. K., Weisbjerg, M. R., Noel, S. J., McLean, F., Højberg, O. & Lund, P. (2018). Methane production, rumen fermentation, and diet digestibility of Holstein and Jersey dairy cows being divergent in residual feed intake and fed at 2 forage-to-concentrate ratios. Journal of Dairy Science, 101(11), 9926-9940. https://doi.org/10.3168/jds.2017-14278

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

Fang, L., Sørensen, P., Sahana, G., Panitz, F., Su, G., Zhang, S., Yu, Y., Li, B., Ma, L., Liu, G., Lund, M. S. & Thomsen, B. (2018). MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle. Scientific Reports, 8(1), Artikel 9345. https://doi.org/10.1038/s41598-018-27729-y

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 fra 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, USA.

Milkevych, V., Munkholm, L. J., Chen, Y. & Nyord, T. (2018). Modelling approach for soil displacement in tillage using discrete element method. Soil & Tillage Research, 183(November), 60-71. https://doi.org/10.1016/j.still.2018.05.017

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 fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

Mebratie, W., Madsen, P., Hawken, R. & Jensen, J. (2018). Multi-trait estimation of genetic parameters for body weight in a commercial broiler chicken population. Livestock Science, 217, 15-18. https://doi.org/10.1016/j.livsci.2018.09.007

Skjerve, T. A., Grova, L., Sorheim, L. K., Slagboom, M., Eriksson, S., Kargo, M. & Wallenbeck, A. (2018). Norwegian dairy farmers' preferences for breeding goal traits and associations with herd and farm characteristics. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(3), 117-123. https://doi.org/10.1080/09064702.2019.1627406

Chu, T. T., Bastiaansen, J. WM., Norberg, E. & Berg, P. (2018). On farm observations to increase genetic gain in breeding schemes for village poultry production – A simulation study. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 1-10. https://doi.org/10.1080/09064702.2018.1543444

Zetouni, L. (2018). Opportunities to select for low methane emitting dairy cattle.

Cericola, F., Lenk, I., Fè, D., Byrne, S., Jensen, C. S., Pedersen, M. G., Asp, T., Jensen, J. & Janss, L. (2018). Optimized Use of Low-Depth Genotyping-by-Sequencing for Genomic Prediction among multi-parental Family Pools and Single Plants in Perennial Ryegrass (Lolium perenne L.). Frontiers in Plant Science, 9, Artikel 369. https://doi.org/10.3389/fpls.2018.00369

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

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

Rovere, G. A., Madsen, P., Christiansen, K., Holm, M. & Lund, M. S. (2018). Prevalence and genetic variability of osteochondrosis in Danish Warmblood horses. I 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

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle. BMC Genomics, 19(1), Artikel 656. https://doi.org/10.1186/s12864-018-5050-x

Difford, G. F., Olijhoek, D. W., Hellwing, A. L. F., Lund, P., Bjerring, M. A., de Haas, Y., Lassen, J. & Løvendahl, P. (2018). Ranking cows’ methane emissions under commercial conditions with sniffers versus respiration chambers. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 25-32. https://doi.org/10.1080/09064702.2019.1572784

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Retraction Note: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle ( Reference: BMC Genetics (2018) 19:30 DOI: 10.1186/s12863-018-0620-0). BMC Genetics, 19(1), Artikel 111. https://doi.org/10.1186/s12863-018-0698-4

Løvendahl, P., Difford, G. F., Li, B., Chagunda, M. G. G., Huhtanen, P., Lidauer, M. H., Lassen, J. & Lund, P. (2018). Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle. Animal, 12(S2), 336-349. https://doi.org/10.1017/S1751731118002276

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. I Faglig årsberetning 2017: Kopenhagen Fur Research Annual Report 2017 (s. 16-21) https://issuu.com/kopenhagenfur/docs/289208__rsberetning_2017

Song, H., Li, L., Ma, P., Zhang, S., Su, G., Lund, M. S., Zhang, Q. & Ding, X. (2018). Short communication: Improving the accuracy of genomic prediction of body conformation traits in Chinese Holsteins using markers derived from high-density marker panels. Journal of Dairy Science, 101(6), 5250-5254. https://doi.org/10.3168/jds.2017-13456

Gao, H., Koivula, M., Jensen, J., Strandén, I., Madsen, P., Pitkänen, T., Aamand, G. P. & Mäntysaari, E. A. (2018). Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population. Journal of Dairy Science, 101(11), 10082-10088. https://doi.org/10.3168/jds.2018-14913

Gao, H., Madsen, P., Pösö, J., Aamand, G. P., Lidauer, M. & Jensen, J. (2018). Short communication: Multivariate outlier detection for routine Nordic dairy cattle genetic evaluation in the Nordic Holstein and Red population. Journal of Dairy Science, 101(12), 11159-11164. https://doi.org/10.3168/jds.2018-15123

Bertolini, F., Servin, B., Talenti, A., Rochat, E., Kim, E. S., Oget, C., Palhière, I., Crisà, A., Catillo, G., Steri, R., Amills, M., Colli, L., Marras, G., Milanesi, M., Nicolazzi, E., Rosen, B. D., Van Tassell, C. P., Guldbrandtsen, B., Sonstegard, T. S. ... The ADAPTMAP consortium (Vivi Hunnicke Nielsen; member) (2018). Signatures of selection and environmental adaptation across the goat genome post-domestication. Genetics Selection Evolution, 50, 57. https://doi.org/10.1186/s12711-018-0421-y

Slagboom, M., Wallenbeck, A., Hjortø, L., Sørensen, A. C., Rydhmer, L., Thomasen, J. R. & Kargo, M. (2018). Simulating consequences of choosing a breeding goal for organic dairy production. Journal of Dairy Science, 101(12), 11086-11096. https://doi.org/10.3168/jds.2017-14316

Cai, Z., Villumsen, T. M., Asp, T., Guldbrandtsen, B., Sahana, G. & Lund, M. S. (2018). SNP markers associated with body size and pelt length in American mink (Neovison vison). BMC Genetics, 19(1), Artikel 103. https://doi.org/10.1186/s12863-018-0688-6

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. I 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

Nielsen, H. M., Ask, B. & Madsen, P. (2018). Social genetic effects for growth in pigs differ between boars and gilts. Genetics Selection Evolution, 50(1), Artikel 4. https://doi.org/10.1186/s12711-018-0375-0

Nayee, N., Sahana, G., Gajjar, S., Sudhakar, A., Trivedi, K., Lund, M. S. & Guldbrandtsen, B. (2018). Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses. Journal of Animal Breeding and Genetics (Online), 135(6), 432-441. https://doi.org/10.1111/jbg.12356

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

Ma, P., Huang, J., Gong, W., Li, X., Gao, H., Zhang, Q., Ding, X. & Wang, C. (2018). The impact of genomic relatedness between populations on the genomic estimated breeding values. Journal of Animal Science and Biotechnology, 9(1), Artikel 64. https://doi.org/10.1186/s40104-018-0279-4

Sverrisdóttir, E., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L., Bryan, G. & Nielsen, K. L. (2018). The value of expanding the training population to improve genomic selection models in tetraploid potato. Frontiers in Plant Science, 9, Artikel 1118. https://doi.org/10.3389/fpls.2018.01118

Ettema, J. F., Kudahl, A. B., Børsting, C. F. & Østergaard, S. (2018). Tørkeråd: Køb grovfoder i stedet for at slagte dyr. KvægNYT, 23, 2-2. https://www.landbrugsinfo.dk/kvaeg/kvaegnyt/sider/startside.aspx

Cuyabano, B. C. D., Sørensen, A. C. & Sørensen, P. (2018). Understanding the potential bias of variance components estimators when using genomic models. Genetics Selection Evolution, 50(1), Artikel 41. https://doi.org/10.1186/s12711-018-0411-0

Marete, A. G. (2018). Use of large scale cow genotyping to dissect dairy complex traits beyond additive effects.

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. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 586 http://www.wcgalp.org/system/files/proceedings/2018/using-additional-single-nucleotide-polymorphisms-selected-whole-genome-sequence-data-genomic.pdf

Olesen, J. E., Petersen, S. O., Lund, P., Jørgensen, U., Kristensen, T., Elsgaard, L., Sørensen, P. & Lassen, J. (2018). Virkemidler til reduktion af klimagasser i landbruget. DCA - Nationalt Center for Fødevarer og Jordbrug,. DCA rapport Nr. 130 http://web.agrsci.dk/djfpublikation/index.asp?action=show&id=1273

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Stenholt Hansen, M., Christensen, B., Buitenhuis, A. J., Sørensen, E. S. & Larsen, L. B. (2017). Absolute quantification of individual milk proteins with ingredient potential. Abstract fra 10th NIZO Dairy Conference , Papendal, Holland.

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Stenholt Hansen, M., Christensen, B., Buitenhuis, A. J., Sørensen, E. S. & Larsen, L. B. (2017). Absolute quantification of individual milk proteins with ingredient potential. Poster session præsenteret på 10th NIZO Dairy Conference , Papendal, Holland.

Schönherz, A. (2017). Acute Myeloid Leukemia Classification System That Associates Normal Myeloid-Cell Subset Gene Signatures with Prognosis. Poster session præsenteret på 59th ASH Annual Meeting & Exposition, Atlanta, USA.

Gebregiwergis, G. T., Meuwissen, T. H. E., Sørensen, A. C. & Henryon, M. (2017). Alternative genomic relationship matrices in genomic optimum optimun contribution selection. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland. http://www.dairycareaction.org/uploads/2/4/2/6/24266896/eaap2017_book_of_abstracts_-_preliminary_pages.pdf

Li, H., Su, G., Jiang, L. & Bao, Z. (2017). An efficient unified model for genome-wide association studies and genomic selection. Genetics Selection Evolution, 49(1), Artikel 64. https://doi.org/10.1186/s12711-017-0338-x

Uddin, M. M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., de Koning, D.-J., Boichard, D., Lund, M. S. & Sahana, G. (2017). A population scale discovery of large deletions in Holstein, Jersey and Nordic Red Cattle genome. Poster session præsenteret på 36th International Society for Animal Genetics Conference, Dublin, Irland. http://www.isag.us/Docs/Proceedings/ISAG2017_Proceedings.pdf?v3

Su, G. (2017). Application of traditional and modern methods to improve accuracy of genetic selection. Invited speech.. Abstract fra The 1st CM Swine Summit, Suzhou, Kina.

Liu, T., Luo, C., Wang, J., Ma, J., Shu, D., Lund, M. S., Su, G. & Qu, H. (2017). Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens. P L o S One, 12(3), Artikel e0173620. https://doi.org/10.1371/journal.pone.0173620

Wu, X., Guldbrandtsen, B., Nielsen, U. S., Lund, M. S. & Sahana, G. (2017). Association analysis for young stock survival index with imputed whole-genome sequence variants in Nordic Holstein cattle. Journal of Dairy Science, 100(8), 6356-6370. https://doi.org/10.3168/jds.2017-12688

Villumsen, T. M., Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G. & Lund, M. S. (2017). Bayes AS and GBLUP models for genomic selection in mink. Poster session præsenteret på 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Danmark.

Wang, C., Li, X., Qian, R., Su, G., Zhang, Q. & Ding, X. (2017). Bayesian methods for jointly estimating genomic breeding values of one continuous and one threshold trait. P L o S One, 12(4), Artikel e0175448. https://doi.org/10.1371/journal.pone.0175448

Schönherz, A. (2017). Beneficial Effect of Microrna-155 in Vincristine Response and Clinical Outcome in Especially GCB Diffuse Large B-Cell Lymphoma. Poster session præsenteret på 59th ASH Annual Meeting & Exposition, Atlanta, USA.

Guldbrandtsen, B., (2017). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, 27. april 2017, Nr. 2017-760-000193, 8 s., apr. 26, 2017.

Hinrichs, D., Calus, M., De Koning, D.-J., Bennewitz, J., Meuwissen, T., Thaller, G., Szyda, J., Tetens, J., Juskiene, V. & Guldbrandtsen, B. (2017). Biodiversity within and between European Red dairy breeds - conversation though utilization. Abstract fra EAAP, Tallin, Estland.

Welderufael, B. G., Janss, L. L. G., de Koning, D. J., Sørensen, L. P., Løvendahl, P. & Fikse, W. F. (2017). Bivariate threshold models for genetic evaluation of susceptibility to and ability to recover from mastitis in Danish Holstein cows. Journal of Dairy Science, 100(6), 4706-4720. https://doi.org/10.3168/jds.2016-11894

Schwabe, I., Janss, L. & van den Berg, S. M. (2017). Can we validate the results of twin studies? A census-based study on the heritability of educational achievement. Frontiers in Genetics, 8, Artikel 160. https://doi.org/10.3389/fgene.2017.00160

Xiang, T. (2017). Combined purebred and crossbred information for genomic evaluation in pig.

Meier, K., Norberg, E., Thomsen, B. & Sorensen, A. C. (2017). Combining breeding practice and quantitative genetic theory: Examples from a fish breeding network in Denmark. Aquaculture, 472(Special Issue), 133.