Publications

Peer-reviewed publications at QGG

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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, [1165]. https://doi.org/10.3389/fpls.2018.01165

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 [11.618] http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

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 [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. Paper 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.

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). [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 from 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Croatia.

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), [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. 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), [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), [62]. https://doi.org/10.1186/s12711-018-0432-8

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 A: Animal Sciences, 68(1), 11-24. https://doi.org/10.1080/09064702.2018.1541361

Lassen, J., Thomasen, J. R., Hjort Hansen, R., Gunner Brink Nielsen, G., Olsen, E. V., Bolvig Stentebjerg, P. R., Worsøe Hansen, N. & Borchersen, S. (2018). Individual measure of feed intake on in-house commercial dairy cattle using 3D camera system. In WCGALP 2018 Proceedings http://www.wcgalp.org/proceedings/2018/individual-measure-feed-intake-house-commercial-dairy-cattle-using-3d-camera

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.

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), [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 from The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

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

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, 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, 9926-9940. https://doi.org/10.3168/jds.2017-14278

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, [9345]. https://doi.org/10.1038/s41598-018-27729-y

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). [405] http://www.wcgalp.org/proceedings/2018/microbiability%E2%80%93-new-insights-genetic-modelling-methane-emissions-cattle

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.

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.

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

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, [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. Paper presented at 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. In R. Baumont, M. Silberberg & I. Cassar-Malek (Eds.), Proceedings of the 10th International Symposium on the Nutrition of Herbivores (Vol. 9). [623] Cambridge University Press. Advances in Animal Biosciences

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

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), [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 A: Animal Sciences, 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), [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

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), [103]. https://doi.org/10.1186/s12863-018-0688-6

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

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

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

Nielsen, H. M., Ask, B. & Madsen, P. (2018). Social genetic effects for growth in pigs differ between boars and gilts. Genetics Selection Evolution, 50, [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

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, [1118]. https://doi.org/10.3389/fpls.2018.01118

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), [41]. https://doi.org/10.1186/s12711-018-0411-0

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 No. 130 http://web.agrsci.dk/djfpublikation/index.asp?action=show&id=1273

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 presented at 36th International Society for Animal Genetics Conference, Dublin, Ireland. http://www.isag.us/Docs/Proceedings/ISAG2017_Proceedings.pdf?v3

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 from 10th NIZO Dairy Conference , Papendal, Netherlands.

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 presented at 10th NIZO Dairy Conference , Papendal, Netherlands.

Gebregiwergis, G. T., Meuwissen, T. H. E., Sørensen, A. C. & Henryon, M. (2017). Alternative genomic relationship matrices in genomic optimum optimun contribution selection. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia. 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), [64]. https://doi.org/10.1186/s12711-017-0338-x

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

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), [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 presented at 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Denmark.

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), [e0175448]. https://doi.org/10.1371/journal.pone.0175448

Guldbrandtsen, B., (2017). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, 27. april 2017, No. 2017-760-000193, 8 p., 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 from EAAP, Tallin, Estonia.

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, [160]. https://doi.org/10.3389/fgene.2017.00160

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.

Zhu, Z., Noel, S. J., Difford, G. F., Al-Soud, W. A., Brejnrod, A., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2017). Community structure of the metabolically active rumen bacterial and archaeal communities of dairy cows over the transition period. P L o S One, 12(11), e0187858. https://doi.org/10.1371/journal.pone.0187858

Kjærup, R. B., Juul-Madsen, H. R., Norup, L. R., Sørensen, P. & Dalgaard, T. S. (2017). Comparison of growth performance and immune parameters of three commercial chicken lines used in organic production. Veterinary Immunology and Immunopathology, 187, 69-79. https://doi.org/10.1016/j.vetimm.2017.04.007

Guo, G., Hou, Y., Zhang, Y. & Su, G. (2017). Comparison of models for genetic evaluation of number of inseminations to conception in Danish Holstein cows. Animal Science Journal, 88(4), 567-574. https://doi.org/10.1111/asj.12406

Zhang, Q., Calus, M. P. L., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2017). Contribution of rare and low-frequency whole-genome sequence variants to complex traits variation in dairy cattle. Genetics Selection Evolution, 49(1), [60]. https://doi.org/10.1186/s12711-017-0336-z

Larsen, M., Hellwing, A. L. F., Larsen, T., Løvendahl, P., Sehested, J. & Weisbjerg, M. R. (2017). Creatinine in milk as biomarker for muscle protein mobilisation in postpartum cows. 407. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Sorensen, D. & de los Campos, G. (2017). Daniel Gianola's contributions to animal breeding and quantitative genetics, a vuelo de pájaro. Journal of Animal Breeding and Genetics, 134(3), 175-177. https://doi.org/10.1111/jbg.12254

Poulsen, N. A., Hein, L., Gregersen, S. B., Sørensen, L. P., Larsen, L. B., Kargo, M. & Buitenhuis, A. J. (2017). Detailed milk fatty acid profiling of the Danish dairy cattle population. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Poulsen, N. A., Hein, L., Gregersen, S. B., Sørensen, L. P., Larsen, L. B., Kargo, M. & Buitenhuis, A. J. (2017). Detailed milk fatty acid profiling of the Danish dairy cattle population. Poster session presented at 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Løvendahl, P. (2017). Detection of carry-over in automated milk sampling equipment. Agroscope Science, (45), 21-24. https://www.agroscope.admin.ch/agroscope/en/home/publications/publication-search/agroscope-science.html

Zetouni, L., Henryon, M., Kargo, M. & Lassen, J. (2017). Direct multitrait selection realizes the highest genetic response for ratio traits. Journal of Animal Science, 95(5), 1921-1925. https://doi.org/10.2527/jas.2016.1324

Difford, G., de Haas, Y., Visker, M. H. P. W., Lassen, J., Bovenhuis, H., Veerkamp, R. F. & Løvendahl, P. (2017). Do breath gas measurements hold the key to unlocking the genetics of feed efficiency in dairy cows?. 184. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Ettema, J. F., Thomasen, J. R., Hjortø, L., Kargo, M., Ostergaard, S. & Sorensen, A. C. (2017). Economic opportunities for using sexed semen and semen of beef bulls in dairy herds. Journal of Dairy Science, 100(5), 4161-4171. https://doi.org/10.3168/jds.2016-11333

Clasen, J. B., Norberg, E., Madsen, P., Pedersen, J. & Kargo, M. (2017). Estimation of genetic parameters and heterosis for longevity in crossbred Danish dairy cattle. Journal of Dairy Science, 100(8), 6337-6342. https://doi.org/10.3168/jds.2017-12627

Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection. Genetics Selection Evolution, 49, [44]. https://doi.org/10.1186/s12711-017-0319-0

Reyer, H., Shirali, M., Ponsuksili, S., Murani, E., Varley, P. F., Jensen, J. & Wimmers, K. (2017). Exploring the genetics of feed efficiency and feeding behaviour traits in a pig line highly selected for performance characteristics. Molecular Genetics and Genomics, 292(5), 1001-1011. https://doi.org/10.1007/s00438-017-1325-1

Shetty, N., Difford, G., Lassen, J., Løvendahl, P. & Buitenhuis, A. J. (2017). Feasibility of FT-IR-milk spectra to predict methane emissions in danish lactating dairy cows. 199. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Kargo, M. (2017). Fedtsyremålinger på enkeltkøer - potentiale og perspektiver. Paper presented at Kvægkongres 2017, Herning, Denmark. http://orgprints.org/31276/

Villumsen, T. M., Cai, Z., Sahana, G., Guldbrandtsen, B., Asp, T. & Lund, M. S. (2017). Gener i kortlagte genområder påvirker størrelse, kvalitet og reproduktion. In S. H. Møller & J. Malmkvist (Eds.), Temadag om aktuel minkforskning (Vol. 103, pp. 32-40). DCA - Nationalt Center for Fødevarer og Jordbrug,. DCA rapport http://pure.au.dk/portal/files/116891581/DCArapport103.pdf

Løvendahl, P., Lauritsen, U., Hansen, L. F., Persson, J. & Sarup, P. M. (2017). Genetic assessment of intra-individual animal variation in milking order of Jersey cows. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Rovere, G., Ducro, B. J., van Arendonk, J. A. M., Norberg, E. & Madsen, P. (2017). Genetic correlations between dressage, show jumping and studbook-entry inspection traits in a process of specialization in Dutch Warmblood horses. Journal of Animal Breeding and Genetics, 134(2), 162-171. https://doi.org/10.1111/jbg.12241

Poulsen, N. A., Buitenhuis, A. J., C. Robinson, R., Barile, D. & Larsen, L. B. (2017). Genetic parameter estimation for bovine milk oligosaccharides in Danish dairy breeds. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Poulsen, N. A., Buitenhuis, A. J., C. Robinson, R., Barile, D. & Larsen, L. B. (2017). Genetic parameter estimation of bovine milk oligosaccharides in Danish dairy breeds. Abstract from Conference on milk composistion, functional genomics and health aspects, Larkollen, Norway.

Thirstrup, J. P., Jensen, J. & Lund, M. S. (2017). Genetic parameters for fur quality graded on live animals and dried pelts of American mink (Neovison vison). Journal of Animal Breeding and Genetics (Online), 134(4), 322-331. https://doi.org/10.1111/jbg.12258

Byskov, M. V., Fogh, A. & Løvendahl, P. (2017). Genetic parameters of rumination time and feed efficiency traits in primiparous Holstein cows under research and commercial conditions. Journal of Dairy Science, 100(12), 9635-9642. https://doi.org/10.3168/jds.2016-12511

Stronen, A. V., Salmela, E., Baldursdottir, B. K., Berg, P., Espelien, I. S., Jarvi, K., Jensen, H., Kristensen, T. N., Melis, C., Manenti, T., Lohi, H. & Pertoldi, C. (2017). Genetic rescue of an endangered domestic animal through outcrossing with closely related breeds: A case study of the Norwegian Lundehund. P L o S One, 12(6), [0177429]. https://doi.org/10.1371/journal.pone.0177429

Liu, A., Wang, Y., Sahana, G., Zhang, Q., Liu, L., Lund, M. S. & Su, G. (2017). Genome-wide Association Studies for Female Fertility Traits in Chinese and Nordic Holsteins. Scientific Reports, 7(1), [8487]. https://doi.org/10.1038/s41598-017-09170-9

Le, T. H., Christensen, O. F., Nielsen, B. & Sahana, G. (2017). Genome-wide association study for conformation traits in three Danish pig breeds. Genetics Selection Evolution, 49, [12]. https://doi.org/10.1186/s12711-017-0289-2

Rohde, P. D., Gartner, B., Ward, K., Sørensen, P. & F C Mackay, T. (2017). Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior. Genetics (Print), 206(4), 1969-1984. https://doi.org/10.1534/genetics.117.200642

Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H., Poulsen, N. A. & Buitenhuis, A. J. (2017). Genomic prediction for detailed milk protein composition traits. Poster session presented at 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Denmark.

Sverrisdóttir, E., Byrne, S., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L. & Nielsen, K. L. (2017). Genomic prediction of starch content and chipping quality in tetraploid potato using genotyping-by-sequencing. Theoretical and Applied Genetics, 130(10), 2091-2108. https://doi.org/10.1007/s00122-017-2944-y

Rohde, P. D., Demontis, D., Børglum, A., iPSYCH-Broad Consortium & Sørensen, P. (2017). Improved prediction of genetic predisposition to psychiatric disorders using genomic feature best linear unbiased prediction models. Poster session presented at ESHG 2017: European Society of Human Genetics Annual Meeting, Copenhagen, Denmark.

Ismael, A., Løvendahl, P., Fogh, A., Lund, M. S. & Su, G. (2017). Improving genetic evaluation using a multitrait single-step genomic model for ability to resume cycling after calving, measured by activity tags in Holstein cows. Journal of Dairy Science, 100(10), 8188-8196. https://doi.org/10.3168/jds.2017-13122

Fang, L., Sahana, G., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle. Scientific Reports, 7, [45560]. https://doi.org/10.1038/srep45560

de Haas, Y., Pszczola, M., Soyeurt, H., Wall, E. & Lassen, J. (2017). Invited review: Phenotypes to genetically reduce greenhouse gas emissions in dairying. Journal of Dairy Science, 100(2), 855-870. https://doi.org/10.3168/jds.2016-11246

Shirali, M., Strathe, A. B., Mark, T., Nielsen, B. & Jensen, J. (2017). Joint analysis of longitudinal feed intake and single recorded production traits in pigs using a novel Horizontal model. Journal of Animal Science, 95(3), 1050-1062. https://doi.org/10.2527/jas.2016.0606

Kargo, M. (2017, Jan 12). Koens gener kan afgøre mælkens sundhed. http://dca.au.dk/aktuelt/nyheder/vis/artikel/koens-gener-kan-afgoere-maelkens-sundhed/

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Jette Odgaard Villemoes