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Center for Kvantitativ Genetik og Genomforskning

Publikationer

Peer-reviewed publikationer ved QGG

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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.

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.

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

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.

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

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.

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.

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.

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

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

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

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

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

Fogsgaard, K. K., Munksgaard, L. & Norberg, E., (2017). Redegørelse vedrørende kupering af lammehaler – smertepåvirkning, Nr. 2017-760-000196, 4 s., dec. 14, 2017.

Gebreyesus, G., Lund, M. S., Buitenhuis, A. J., Bovenhuis, H., Poulsen, N. A. & Janss, L. (2017). Modeling heterogeneous (co)variances from adjacent-SNP groups improves genomic prediction for milk protein composition traits. Genetics Selection Evolution, 49(1), Artikel 89. https://doi.org/10.1186/s12711-017-0364-8

Sørensen, I. F., Edwards, S. M., Rohde, P. D. & Sørensen, P. (2017). Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster /631/208/721 /631/208/721 /631/208/729/743 /631/208/729/743 /119 /45 /45/43 article. Scientific Reports, 7(1), Artikel 2413. https://doi.org/10.1038/s41598-017-02281-3

Cai, Z., Petersen, B., Sahana, G., Madsen, L. B., Larsen, K., Thomsen, B., Bendixen, C., Lund, M. S., Guldbrandtsen, B. & Panitz, F. (2017). The first draft reference genome of the American mink (Neovison vison). Scientific Reports, 7(1), Artikel 14564. https://doi.org/10.1038/s41598-017-15169-z

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

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.

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 præsenteret på 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Danmark.

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2017). Multi-population GWAS for the de novo synthesis of milk fatty acids. Poster-session præsenteret på 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Danmark.

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. Artikel e0187858. https://doi.org/10.1371/journal.pone.0187858

Li, B., Berglund, B., Fikse, W. F., Lassen, J., Lidauer, M. H., Mäntysaari, P. & Løvendahl, P. (2017). Neglect of lactation stage leads to naive assessment of residual feed intake in dairy cattle. Journal of Dairy Science, 100(11), 9076-9084. https://doi.org/10.3168/jds.2017-12775

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

Chen, M., Su, G., Fu, J., Zhang, Q., Wang, A., Sandø Lund, M. & Guldbrandtsen, B. (2017). Population admixture in Chinese and European Sus scrofa. Scientific Reports, 7(1), Artikel 13178. https://doi.org/10.1038/s41598-017-13127-3

Frioni, N., Rovere, G., Aguilar, I. & Urioste, J. I. (2017). Genetic parameters and correlations between days open and production traits across lactations in pasture based dairy production systems. Livestock Science, 204, 104-109. https://doi.org/10.1016/j.livsci.2017.08.018

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

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

Mebratie, W., Shirali, M., Madsen, P., Sapp, R. L., Hawken, R. & Jensen, J. (2017). The effect of selection and sex on genetic parameters of body weight at different ages in a commercial broiler chicken population. Livestock Science, 204, 78-87. https://doi.org/10.1016/j.livsci.2017.08.013

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

Shetty, N., Difford, G., Lassen, J., Løvendahl, P. & Buitenhuis, A. J. (2017). Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk. Journal of Dairy Science, 100(11), 9052-9060. https://doi.org/10.3168/jds.2017-13014

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

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 fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

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

Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds. B M C Genomics, 18(1), 604. Artikel 604. https://doi.org/10.1186/s12864-017-4004-z

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), Artikel 60. https://doi.org/10.1186/s12711-017-0336-z

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

Poulsen, N. A., Gregersen, V. R., Maciel, G. D. M., Madsen, L. B., Buitenhuis, A. J., Stenholt Hansen, M., Bendixen, C. & Larsen, L. B. (2017). Novel genetic variation associated to CSN3 strongly affects rennet-induced milk coagulation. International Dairy Journal, 71, 122-130. https://doi.org/10.1016/j.idairyj.2017.03.012

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

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.

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

Hjortø, L., Thomasen, J. R., Berg, P., Kargo, M., Henryon, M., Liu, H. & Sørensen, A. C. (2017). Managing lethal alleles using genomic optimum contribution selection. Abstract fra EAAP, Tallin, Estland.

Thomasen, J. R., Liu, H. & Sørensen, A. C. (2017). Pedigree inbreeding underestimate true inbreeding in genomic dairy cattle breeding schemes. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J. & Løvendahl, P. (2017). Quantile regression mixed model at different milk production levels of Iranian Holsteins. Abstract fra EAAP, Tallin, Estland.

Munksgaard, L., Schmidt Henriksen, J. C., Weisbjerg, M. R. & Løvendahl, P. (2017). Relationship between daily lying time and weight during lactation in Holstein and Jersey cows. I M. B. Jensen, M. S. Herskin & J. Malmkvist (red.), Proceedings of the 51st Congress of the International Society for Applied Ethology: Understanding animal behaviour (s. 121-121). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-858-2

Slagboom, M., Wallenbeck, A., Hjortø, L., Sørensen, A. C., Thomasen, J. R. & Kargo, M. (2017). Simulating consequences of choosing a breeding goal for organic dairy cattle production. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

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

Liu, A., Lund, M. S., Wang, Y., Guo, G., Dong, G., Madsen, P. & Su, G. (2017). Variance components and correlations of female fertility traits in Chinese Holstein population. Journal of Animal Science and Biotechnology, 8(1), Artikel 56. https://doi.org/10.1186/s40104-017-0189-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

Sørensen, P., Otieno, T. O. & Buitenhuis, A. J. (2017). The motivation of hens to lay eggs on the floor in non-cage systems has a heritable background. European Poultry Science (EPS) / Archiv für Geflügelkunde, 81. https://doi.org/10.1399/eps.2017.192

Khatun, M., Jorgensen, H. B. H., Ehsani, A., Lund, M. S., Sahana, G., Sorensen, P. & Rontved, C. M. (2017). Whole blood optimization and genetic association of ex vivo TNF-alpha responsiveness to killed E-coli in Danish Holstein cows. Livestock Science, 201, 92-98. https://doi.org/10.1016/j.livsci.2017.04.014

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

Persson, J., Lauritsen, U., Hansen, L. F. & Løvendahl, P. (2017). Test day milk yield and composition records are affected by deviations in milking intervals in overly simplified recording schemes. Abstract fra ICAR 2017, Storbritannien. http://www.icar.org/Documents/Puerto%20Varas%202016%20Abstracts/files/TS/TS%205/RDY/ICAR%202016%20TS-5.%20Test%20day%20milk%20yield%20and%20composition%20records_Persson_Lauritsen_Fast_Lovendahl.pdf

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 præsenteret på ESHG 2017: European Society of Human Genetics Annual Meeting, Copenhagen, Danmark.

Fang, L. (2017). Genomic feature model analysis of complex traits in dairy cattle. Aarhus Universitet, Institut for Molekylærbiologi og genetik.

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, Artikel 44. https://doi.org/10.1186/s12711-017-0319-0

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

Tesauro, C., Ferrando, B., Ma, X., Jepsen, M. L., Ivarsen, A. K., Frohlich, R., Stevnsner, T., Knudsen, B. R. & Ho, Y. P. (2017). Isolation of functional mitochondria by inertial microfluidics - a new method to sort intracellular organelles from a small scale biological sample. R S C Advances, 7(38), 23735-23741. https://doi.org/10.1039/c7ra03384b

Shirali, M., Varley, P. F. & Jensen, J. (2017). Longitudinal genetic dissection of feed efficiency and feeding behaviour in MaxGro pigs. Livestock Science, 199, 79-85. https://doi.org/10.1016/j.livsci.2017.03.017

Esfandyari, H., Henryon, M., Berg, P., Thomasen, J. R., Bjima, P. & Sørensen, A. C. (2017). Response to selection in finite locus models with non-additive effects. Journal of Heredity, 108(3), 318-327. https://doi.org/10.1093/jhered/esw123

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

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

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

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

Xiang, T., Christensen, O. F. & Legarra, A. (2017). Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders. Journal of Animal Science, 95(4), 1472-1480. https://doi.org/10.2527/jas2016.1155

Esfandyari, H. & Sørensen, A. C. (2017, apr. 3). xbreed: An R package for genomic simulation of purebred and crossbred populations. https://cran.r-project.org/web/packages/xbreed/index.html

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.

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

Stjernholm, T., Ommen, P., Langkilde, A., Johansen, C., Iversen, L., Rosada, C. & Stenderup, K. (2017). Leptin-deficiency in mice counteracts imiquimod (IMQ)-induced psoriasis-like skin inflammation while leptin stimulation induces inflammation in human keratinocytes. Experimental Dermatology, 26(4), 338-345. https://doi.org/10.1111/exd.13149

Liu, H., Henryon, M. & Sørensen, A. C. (2017). Mating strategies with genomic information reduce rates of inbreeding in animal breeding schemes without compromising genetic gain. Animal, 11(4), 547-555. https://doi.org/10.1017/S1751731116001786

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, Artikel 45560. https://doi.org/10.1038/srep45560

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

Salleh, S. M., Mazzoni, G., Höglund, J. K., Olijhoek, D. W., Lund, P., Løvendahl, P. & Kadarmideen, H. N. (2017). RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle. B M C Genomics, 18(1), Artikel 258. https://doi.org/10.1186/s12864-017-3622-9

Li, X., Lund, M. S., Janss, L., Wang, C., Ding, X., Zhang, Q. & Su, G. (2017). The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations. BMC Genetics, 18, Artikel 26. https://doi.org/10.1186/s12863-017-0491-9

Garcia-Baccino, C. A., Legarra, A., Christensen, O. F., Misztal, I., Pocrnic, I., Vitezica, Z. G. & Cantet, R. J. C. (2017). Metafounders are related to F_st fixation indices and reduce bias in single-step genomic evaluations. Genetics Selection Evolution, 49(1), 1-14. Artikel 34. https://doi.org/10.1186/s12711-017-0309-2

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

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

Munk, A., Buitenhuis, A. J. & Kargo, M. (2017). Viden om mælkens fedtsyreindhold giver nye muligheder. Oekologi & Erhverv, 604, 15. http://okologi.dk/oekologi-og-erhverv/nyheder/2017/02/oekologi-forskning-oekologi-erhverv-nr-604

Difford, G. F., Vlok, A. C., Rhode, C. & Brink, D. (2017). Heritability of growth traits in South African Abalone (Haliotis midae L.) using the ‘internal reference’ method. Aquaculture, 468(Part 1), 451-457. https://doi.org/10.1016/j.aquaculture.2016.10.042

Kargo, M. (2017). Fedtsyremålinger på enkeltkøer - potentiale og perspektiver. Afhandling præsenteret på Kvægkongres 2017, Herning, Danmark. http://orgprints.org/31276/

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(1), Artikel 12. https://doi.org/10.1186/s12711-017-0289-2

Welderufael, B. G., de Koning, D. J., Janss, L. L. G., Franzén, J. & Fikse, W. F. (2017). Simultaneous genetic evaluation of simulated mastitis susceptibility and recovery ability using a bivariate threshold sire model. Acta Agriculturae Scandinavica, Section A - Animal Science, 66(3), 125-134. https://doi.org/10.1080/09064702.2016.1275761

Chung, N. C., Szyda, J., Frąszczak, M., Fries, H. R., Lund, M. S., Guldbrandtsen, B., Boichard, D. A., Stothard, P., Veerkamp, R., Goddard, M., Van Tassell, C. P. & Hayes, B. (2017). Population Structure Analysis of Bull Genomes of European and Western Ancestry. Scientific Reports, 7, Artikel 40688. https://doi.org/10.1038/srep40688

Buitenhuis, A. J., Kargo, M. & Munk, A. (2017, jan. 13). The fatty acid profile of the milk is measured on all cows in Denmark: Analysis of milk samples shows a large genetic variation, which opens up the possibility to change the fatty acid profile of the cow by genetic selection. http://icrofs.dk/en/aktuelt/nyheder/viewnews/artikel/the-fatty-acid-profile-of-the-milk-is-measured-on-all-cows-in-denmark/

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/

Wang, H.-M., Shi, L., Liang, T., Wang, B., Wu, W. J., Su, G., Wei, J., Li, P. & Huang, R. (2017). MiR-696 regulates C2C12 cell proliferation and differentiation by targeting CNTFRα. International Journal of Biological Sciences, 13(4), 413-425. https://doi.org/10.7150/ijbs.17508

Shetty, N., Løvendahl, P., Lund, M. S. & Buitenhuis, A. J. (2017). Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk. Journal of Dairy Science, 100(1), 253-264. https://doi.org/10.3168/jds.2016-11609

Cericola, F., Jahoor, A., Orabi, J., Andersen, J. R., Janss, L. L. & Jensen, J. (2017). Optimizing Training Population Size and Genotyping Strategy for Genomic Prediction Using Association Study Results and Pedigree Information. A Case of Study in Advanced Wheat Breeding Lines. P L o S One, 12(1), e0169606. Artikel e0169606. https://doi.org/10.1371/journal.pone.0169606

Tessema, B. B., Liu, H., Andersen, J. R. & Jensen, J. (2017). Stochastic Simulation of Selective Breeding Schemes for Wheat. Poster-session præsenteret på PAG 2017, San Diego, USA.

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

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Jette Odgaard Villemoes