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Center for Kvantitativ Genetik og Genomforskning

Publikationer

Peer-reviewed publikationer ved QGG

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Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H. & Buitenhuis, A. J. (2016). Fine mapping and genomic prediction for detailed milk protein composition. Poster session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Mao, X., Kadri, N. K., Thomasen, J. R., de Koning, D. J., Sahana, G. & Guldbrandtsen, B. (2016). Fine mapping of a calving QTL on Bos taurus autosome 18 in Holstein cattle. Journal of Animal Breeding and Genetics, 133(3), 207-218. https://doi.org/10.1111/jbg.12187

Gregersen, V. R., Madsen, L. B., Poulsen, N. A., Thomsen, B., Panitz, F., Stenholt Hansen, M., Buitenhuis, A. J., Holm, L.-E., Larsen, L. B. & Bendixen, C. (2016). Fine mapping of a quantitative trait locus. Abstract fra 2nd Annual Danish Bioinformatics Conference, Odense, Danmark.

Gregersen, V. R., Madsen, L. B., Poulsen, N. A., Thomsen, B., Panitz, F., Stenholt Hansen, M., Buitenhuis, A. J., Holm, L.-E., Larsen, L. B. & Bendixen, C. (2016). Fine mapping of a quantitative trait locus. Poster session præsenteret på 2nd Annual Danish Bioinformatics Conference, Odense, Danmark.

Løvendahl, P. & Sorensen, L. P. (2016). Frequently recorded sensor data may correctly provide health status of cows if data are handled carefully and errors are filtered away. Biotechnologie, Agronomie, Société et Environnement, 20(1), 3-12. http://popups.ulg.ac.be/1780-4507/index.php?id=12562

Kumar, A., Kumar, S., Kumar, U., Suravajhala, P. & Gajula, M. N. V. P. (2016). Functional and structural insights into novel DREB1A transcription factors in common wheat (Triticum aestivum L.): A molecular modeling approach. Computational Biology and Chemistry, 64, 217-226. https://doi.org/10.1016/j.compbiolchem.2016.07.008

Szekeres, B. D., Schönherz, A., Nielsen, V. H. & Guldbrandtsen, B. (2016). Gamle danske husdyrracers genomer - Racernes oprindelse og slægtskab. DCA - Nationalt Center for Fødevarer og Jordbrug,. DCA rapport Nr. 082

Difford, G., Lassen, J. & Løvendahl, P. (2016). Genes and microbes, the next step in dairy cattle breeding. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Difford, G., Lassen, J. & Løvendahl, P. (2016). Genes and microbes, the next step in dairy cattle breeding. I Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science: EAAP 2016, 67th Annual Meeting of the European Federation of Animal Science, Belfast UK, 29 Aug – 2 Sept 2016 (Bind 22, s. 285)

de Haas, Y., Pryce, J. E., Wall, E., McParland, S., Difford, G. & Lassen, J. (2016). Genetic and genomic analyses of enteric methane emissions of dairy cattle. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Lassen, J., Poulsen, N. A., Larsen, M. K. & Buitenhuis, A. J. (2016). Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins. Animal Production Science, 56(2-3), 298-303. https://doi.org/10.1071/AN15489

Le, T. H., Madsen, P., Lundeheim, N., Nilsson, K. & Norberg, E. (2016). Genetic association between leg conformation in young pigs and sow longevity. Journal of Animal Breeding and Genetics, 133(4), 283-290. https://doi.org/10.1111/jbg.12193

Li, B., Fikse, W. F., Lassen, J., Lidauer, M. H., Løvendahl, P., Mäntysaari, P. & Berglund, B. (2016). Genetic parameters for dry matter intake in primiparous Holstein, Nordic Red, and Jersey cows in the first half of lactation. Journal of Dairy Science, 99(9), 7232-7239. https://doi.org/10.3168/jds.2015-10669

Zetouni, L., Kargo, M. & Lassen, J. (2016). Genetic relationship between methane emissions and conformation traits in Danish Holstein cattle. I Book of Abstracts of the ASAS-ADSA-CSAS-WSASAS 20146 Joint Annual Meeting (s. 187). Artikel 0395 http://www.jtmtg.org/JAM/2016/abstracts/134.pdf

Hamzic, E. (2016). Genetics of mechanisms controlling responses to two major pathogens in broiler and layer chickens. Aarhus University, Science and Technology.

Guo, X., Su, G., Christensen, O. F., Janss, L. & Lund, M. S. (2016). Genome-wide association analyses using a Bayesian approach for litter size and piglet mortality in Danish Landrace and Yorkshire pigs. BMC Genomics, 17, Artikel 468. https://doi.org/10.1186/s12864-016-2806-z

Iso-Touru, T., Sahana, G., Guldbrandtsen, B., Lund, M. S. & Vilkki, J. (2016). Genome-wide association analysis of milk yield traits in Nordic Red Cattle using imputed whole genome sequence variants. BMC Genetics, 17(1), Artikel 55. https://doi.org/10.1186/s12863-016-0363-8

Mao, X., Sahana, G., Johansson, A. M., Ismael, A. I. S., Løvendahl, P., De Koning, D.-J. & Guldbrandtsen, B. (2016). Genome-wide association studies of additive and dominance effects for female fertility traits in Danish Holstein cattle. Poster session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Mao, X., Sahana, G., De Koning, D.-J. & Guldbrandtsen, B. (2016). Genome-wide association studies of growth traits in three dairy cattle breeds using whole-genome sequence data. Journal of Animal Science, 94(4), 1426-1437. https://doi.org/10.2527/jas.2015-9838

Lassen, J., Løvendahl, P., Su, G. & Sahana, G. (2016). Genome-wide association study and genomic predicition for methane emission in Danish Holstein cattle. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Zhang, Q., Guldbrandtsen, B., Thomasen, J. R., Lund, M. S. & Sahana, G. (2016). Genome-wide association study for longevity with whole-genome sequencing in 3 cattle breeds. Journal of Dairy Science, 99(9), 7289-7298. https://doi.org/10.3168/jds.2015-10697

Hamzic, E., Pinard-van der Laan, M.-H., Buitenhuis, A. J., Hawken, R. & Bed'Hom, B. (2016). Genome-wide association study of the Eimeria maxima response in Cobb500 broilers. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Fang, L., Hou, Y., An, J., Li, B., Song, M., Wang, X., Sørensen, P., Dong, Y., Liu, C., Wang, Y., Zhu, H., Zhang, S. & Yu, Y. (2016). Genome-wide transcriptional and post-transcriptional regulation of innate immune and defense responses of bovine mammary gland to Staphylococcus aureus. Frontiers in cellular and infection microbiology, 6, Artikel 193. https://doi.org/10.3389/fcimb.2016.00193

Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2016). Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs. Genetics Selection Evolution, 48(1), 1-14. Artikel 98. https://doi.org/10.1186/s12711-016-0271-4

Guo, X. (2016). Genomic prediction and GWAS for reproduction traits in Danish pigs. Aarhus University, Science and Technology.

Guo, X., Christensen, O. F., Ostersen, T., Wang, Y., Lund, M. S. & Su, G. (2016). Genomic Prediction for Lean Meat Percentage and Average Daily Gain using Models Including Dominance and Imprinting Effects. Abstract fra Plant & Animal Genome Conference, San Diego, USA.

Edwards, S. M., Sørensen, I. F., Sarup, P., Mackay, T. F. C. & Sørensen, P. (2016). Genomic prediction for quantitative traits is improved by mapping variants to gene ontology categories in Drosophila melanogaster. Genetics, 203(4), 1871-1883. https://doi.org/10.1534/genetics.116.187161

Bellucci, A., Edriss, V., Jensen, J. D., Orabi, J., Jahoor, A. & Jensen, J. (2016). Genomic Prediction in Spring Barley. Poster session præsenteret på 12th International Barley Genetics Symposium, Minneapolis, USA.

Esfandyari, H., Bijma, P., Henryon, M., Christensen, O. F. & Sørensen, A. C. (2016). Genomic prediction of crossbred performance based on purebred Landrace and Yorkshire data using a dominance model. Genetics Selection Evolution, 48(1), Artikel 40. https://doi.org/10.1186/s12711-016-0220-2

Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Knol, E. F. & Bovenhuis, H. (2016). Genomic prediction of growth in pigs based on a model including additive and dominance effects. Journal of Animal Breeding and Genetics (Online), 133(3), 180-186. https://doi.org/10.1111/jbg.12195

Laplat, F., Jensen, J. & Madsen, P. (2016). Genomic Prediction of Manganese Efficiency in Winter Barley. The Plant Genome, 9(2), 1-13. https://doi.org/10.3835/plantgenome2015.09.0085

Alemu, S. W., Calus, M. P. L., Muir, W. M., Peeters, K., Vereijken, A. & Bijma, P. (2016). Genomic prediction of survival time in a population of brown laying hens showing cannibalistic behavior. Genetics Selection Evolution, 48(1), Artikel 68. https://doi.org/10.1186/s12711-016-0247-4

Guo, X., Christensen, O. F., Ostersen, T., Wang, Y., Lund, M. S. & Su, G. (2016). Genomic prediction using models with dominance and imprinting effects for backfat thickness and average daily gain in Danish Duroc pigs. Genetics Selection Evolution, 48(1), Artikel 67. https://doi.org/10.1186/s12711-016-0245-6

Ashraf, B., Edriss, V., Akdemir, D., Autrique, E., Bonnett, D., Crossa, J., Janss, L., Singh, R. & Jannink, J. L. (2016). Genomic prediction using phenotypes from pedigreed lines with no marker data. Crop Science, 56(3), 957-964. https://doi.org/10.2135/cropsci2015.02.0111

Jensen, J. (2016). Genomic selection and its application to poultry breeding. 175-178. Abstract fra The XXV World's Poultry Congress, Beijing, Kina. http://www.wpsa.com/index.php/publications/wpsa-proceedings/2016/xxv-world-s-poultry-congress/2105-genomic-selection-and-its-application-to-poultry-breeding/file

Ankamah-Yeboah, T., Torp, A. M., Jensen, J. D., Janss, L. & Rasmussen, S. K. (2016). Genomic Selection for agronomic important traits in two-rowed winter barley. Abstract fra 12th International Barley Genetics Symposium, Minneapolis, USA.

Esfandyari, H. (2016). Genomic selection for crossbred performance. Aarhus University, Science and Technology. http://library.wur.nl/WebQuery/wurpubs/fulltext/369078

de Haas, Y., Pryce, J. E., Wall, E., McParland, S., Manzanilla-Pech, C., Difford, G. & Lassen, J. (2016). Genomic selection for methane emission. Journal of Animal Science, 94(supplement 5), 197-198. Artikel 0407. https://doi.org/10.2527/jam2016-0407

Knol, E. F., Nielsen, B. & Knap, P. W. (2016). Genomic selection in commercial pig breeding. Animal Frontiers, 6(1), 15-22. https://doi.org/10.2527/af.2016-0003

Ismael, A. I. S., Strandberg, E., Berglund, B., Kargo, M., Fogh, A. & Løvendahl, P. (2016). Genotype by environment interaction for activity based estrus traits in Danish Holstein. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Ismael, A., Strandberg, E., Berglund, B., Kargo, M., Fogh, A. & Løvendahl, P. (2016). Genotype by environment interaction for activity-based estrus traits in relation to production level for Danish Holstein. Journal of Dairy Science, 99(12), 9834-9844. https://doi.org/10.3168/jds.2016-11446

Ismael, A. I. S. (2016). Genotype by environment interaction for automated and traditional fertility traits in dairy cattle. Aarhus University, Science and Technology.

Ismael, A. I. S., Strandberg, E., Berglund, B., Kargo, M., Fogh, A. & Løvendahl, P. (2016). Genotype by environment interaction for the interval from calving to first insemination with regard to calving month and geographic location in Holstein cows in Denmark and Sweden. Journal of Dairy Science, 99(7), 5498-5507. Artikel 10.3168/jds.2015-10820. https://doi.org/10.3168/jds.2015-10820

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Herd characteristics influence farmers’ preferences for trait improvements in Danish Red and Danish Jersey cows. Acta Agriculturae Scandinavica, Section A - Animal Science, 66(3), 177-182. https://doi.org/10.1080/09064702.2016.1277550

Lassen, J. & Løvendahl, P. (2016). Heritability estimates for enteric methane emissions from Holstein cattle measured using noninvasive methods. Journal of Dairy Science, 99(3), 1959-1967. https://doi.org/10.3168/jds.2015-10012

Li, B., Berglund, B., Fikse, W. F., Lassen, J. & Løvendahl, P. (2016). Heterogeneity in genetic variation for feed intake and adjusted feed intake between dairy cow breeds. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Poulsen, J. B., Lescai, F., Grove, J., Bækvad-Hansen, M., Christiansen, M., Hagen, C. M., Maller, J., Stevens, C., Li, S., Li, Q., Sun, J., Wang, J., Nordentoft, M., Werge, T. M., Mortensen, P. B., Børglum, A. D., Daly, M., Hougaard, D. M., Bybjerg-Grauholm, J. & Hollegaard, M. V. (2016). High-Quality Exome Sequencing of Whole-Genome Amplified Neonatal Dried Blood Spot DNA. PLOS ONE, 11(4), e0153253. Artikel e0153253. https://doi.org/10.1371/journal.pone.0153253

Liu, Y., Lucas-Hahn, A., Petersen, B., Li, R., Hermann, D., Hassel, P., Ziegler, M., Li, J., Larsen, K. E., Niemann, H. & Callesen, H. (2016). Histone acetylation profile of porcine embryos produced by 2 cloning methods with or without in-vitro culture. Reproduction, Fertility and Development, 28, 137 (abst 15). https://doi.org/10.1071/RDv28n2abs

Christensen, M. H., Jensen, S. B., Miettinen, J. J., Luecke, S., Prabakaran, T., Reinert, L. S., Mettenleiter, T., Chen, Z. J., Knipe, D. M., Sandri-Goldin, R. M., Enquist, L. W., Hartmann, R., Mogensen, T. H., Rice, S. A., Nyman, T. A., Matikainen, S. & Paludan, S. R. (2016). HSV-1 ICP27 targets the TBK1-activated STING signalsome to inhibit virus-induced type I IFN expression. EMBO Journal, 35(13), 1385-1399. https://doi.org/10.15252/embj.201593458

Simianer, H. & Sørensen, P. (2016). ICQG 5 on Madison's Isthmus links genomics and statistics of complex traits. Journal of Animal Breeding and Genetics (Online), 133(4), 249-250. https://doi.org/10.1111/jbg.12231

Chen, M., Pan, D., Ren, H., Fu, J., Li, J., Su, G., Wang, A., Jiang, L., Zhang, Q. & Liu, J.-F. (2016). Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations. Genetics Selection Evolution, 48(1), 1-12. Artikel 76. https://doi.org/10.1186/s12711-016-0254-5

Yang, H. & Su, G. (2016). Impact of phenotypic information of previous generations and depth of pedigree on estimates of genetic parameters and breeding values. Livestock Science, 187, 61-67. https://doi.org/10.1016/j.livsci.2016.03.001

Sarup, P. M., Jensen, J., Ostersen, T., Henryon, M. & Sørensen, P. (2016). Increased prediction accuracy using a genomic feature model including information on QTLs. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Sarup, P. M., Jensen, J., Ostersen, T., Henryon, M. & Sørensen, P. (2016). Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs. BMC Genetics, 17(11), Artikel 11. https://doi.org/10.1186/s12863-015-0322-9

Sverrisdóttir, E., Janss, L., Byrne, S., Asp, T. & Lehmann Nielsen, K. (2016). Initiating genomic selection in tetraploid potato. Abstract fra 13th Solanaceae Conference, Davis, USA.

Henten, A. M. V., Loeschcke, V., Pedersen, J. G., Leisner, J. J. & Sarup, P. (2016). Injuries can prolong lifespan in Drosophila melanogaster males. Biogerontology, 17(2), 337-346. https://doi.org/10.1007/s10522-015-9616-6

Guldbrandtsen, B., (2016). Internationale anbefalinger vedr. udvælgelse af materiale fra husdyr til genbanker, Nr. 1603555, Nr. 105789 , 12 s., jan. 18, 2016.

Welderufael, B. G., Janss, L., De Koning, D.-J., Sørensen, L. P., Løvendahl, P. & Fikse, W. F. (2016). Joint genetic evaluation of mastitis susceptibility and recovery ability in Holstein cows. Poster session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Stjernholm, T., Ommen, P., Langkilde, A., Johansen, C., Iversen, L., Rosada, C. & Stenderup, K. (2016). 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

Begli, H. E., Torshizi, R. V., Masoudi, A. A., Ehsani, A. & Jensen, J. (2016). Longitudinal analysis of body weight, feed intake and residual feed intake in F₂ chickens. Livestock Science, 184, 28-34. https://doi.org/10.1016/j.livsci.2015.11.018

Hjortø, L., Thomassen, J. R., Kargo, M., Sørensen, A. C. & Slagboom, M. (2016). Mælkeproducenter prioriterer forskellige egenskaber i avlen. Kvaeg, (6), 48-49. https://www.landbrugsinfo.dk/Kvaeg/Avl/Sider/KvaegJuni2016_side48.pdf

Hjortø, L. (2016). Mælkeproducenter vægter ydelse højt i avlsmålet. Oekologi & Erhverv, (588), 10. Artikel 588. http://okologi.dk/media/890423/oekologi-erhverv-nr-588.pdf

Liu, H., Henryon, M. & Sørensen, A. C. (2016). 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

Fan, S., Geissmann, Q., Lakatos, E., Lukauskas, S., Ale, A., Babtie, A. C., Kirk, P. D. W. & Stumpf, M. P. H. (2016). MEANS: Python package for Moment Expansion Approximation, iNference and Simulation. Bioinformatics, 32(18), 2863-2865. https://doi.org/10.1093/bioinformatics/btw229

Li, X. (2016). Methods to improve genomic prediction and GWAS using combined Holstein populations. Aarhus University, Science and Technology.

Sarup, P., Petersen, S. M. M., Nielsen, N. C., Loeschcke, V. & Malmendal, A. (2016). Mild heat treatments induce long-term changes in metabolites associated with energy metabolism in Drosophila melanogaster. Biogerontology, 17(5), 873-882. Artikel 873. https://doi.org/10.1007/s10522-016-9657-5

Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H. & Buitenhuis, A. J. (2016). Modeling heterogeneous co-variancas for genomic regions in prediction for milk protein compositions. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Jönsson, L., Madsen, P. & Mark, T. (2016). Modelling repeated competition records in genetic evaluations of Danish sport horses. Journal of Animal Breeding and Genetics (Online), 133(4), 291-302. https://doi.org/10.1111/jbg.12190

Sørensen, L. P., Bjerring, M. & Løvendahl, P. (2016). Monitoring individual cow udder health in automated milking systems using online somatic cell counts. Journal of Dairy Science, 99(1), 608-620. https://doi.org/10.3168/jds.2014-8823

Olijhoek, D., Hellwing, A. L. F., Løvendahl, P., Lassen, J., Weisbjerg, M. R. & Lund, P. (2016). No difference in methane production between low and high feed efficient Holstein and Jersey dairy cows at two forage:concentrate ratios. Abstract fra 6th Greenhouse Gas and Animal Agriculture Conference, Melbourne, Australien.

Olijhoek, D., Hellwing, A. L. F., Løvendahl, P., Lassen, J., Weisbjerg, M. R. & Lund, P. (2016). No difference in methane production between low and high feed efficient Holstein and Jersey dairy cows at two forage:concentrate ratios. Poster session præsenteret på 6th Greenhouse Gas and Animal Agriculture Conference, Melbourne, Australien.

Guldbrandtsen, B., (2016). Notat vedr. indsamling og opbevaring af biologisk materiale med henblik på kryobevaring af høns, Nr. 1596827, 8 s., jan. 14, 2016.

Nielsen, B., Christensen, O. F. & Velander, I. (2016). Nurse capacity, fertility, and litter size in crossbred sows and genetic correlation to purebred sow information. Journal of Animal Science, 94(5), 1827-1833. https://doi.org/10.2527/jas.2015-0199

Jimenez Mena, B., Tataru, P., Brøndum, R. F., Sahana, G., Guldbrandtsen, B. & Bataillon, T. (2016). One size fits all? Direct evidence for the heterogeneity of genetic drift throughout the genome. Biology Letters, 12(7), Artikel 20160426. https://doi.org/10.1098/rsbl.2016.0426

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Organic and Conventional Dairy Farmers Prefer Different Improvements in Breeding Goal Traits. Poster session præsenteret på 67th Annual Meeting of the European Association for Animal Production (EAAP), Belfast, Storbritannien.

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Organic dairy farmers put more emphasis on production traits than conventional farmers. Journal of Dairy Science, 99(12), 9845–9856. https://doi.org/10.3168/jds.2016-11346

Wu, X., Sahana, G., Guldbrandtsen, B. & Lund, M. S. (2016). Phenotypic effect of recessive embryonic lethal haplotypes on non-return rate in cattle. Abstract fra 5th International Conference on Quantitative Genetics , Madison, USA.

Mao, X. (2016). Population level genome-wide association studies in dairy cattle. Aarhus University, Science and Technology.

Pedersen, H. S., Løvendahl, P., Larsen, K. E., Madsen, L. B. & Callesen, H. (2016). Porcine oocyte mtDNA copy number is high or low depending on the donor. Zygote, 24(4), 617-623. https://doi.org/10.1017/S0967199415000611

Kargo, M. (2016). Possibilities and requirements for organic dairy breeding lines. Abstract fra 67th Annual Meeting of the European Federation of Animal Science (EAAP 2016), Belfast, Storbritannien.

Vanlierde, A., Grelet, C., Gengler, N., Ferris, C. P., Sørensen, M. T., Höglund, J., Carter, F., Ingvartsen, K. L., Santoro, A., Dardenne, P. & Dehareng, F. (2016). Potential use of milk MIR spectra to obtain new health phenotypes for dairy cows in the framework of the GplusE project. I Book of abstracts of the 67th Annual Meeting of the European Federation of Animal Science (67 udg.). Wageningen Academic Publishers.

Shetty, N., Løvendahl, P., Lund, M. S. & Buitenhuis, A. J. (2016). 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

Slagboom, M., Kargo, M., Edwards, D., Sørensen, A. C., Thomasen, J. R. & Hjortø, L. (2016). Preferences for Breeding Goal Traits for Danish Red and Jersey Cattle. Abstract fra 67th Annual Meeting of the European Association for Animal Production (EAAP), Belfast, Storbritannien.

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Rare variants from imputed whole genome sequence explain a small fraction of the total genetic variance for stature and milk yield in cattle. Poster session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Zhang, Q., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Rare variants from imputed whole genome sequence explain a small fraction of the total genetic variance in different traits in cattle. Abstract fra 5th International Conference on Quantitative Genetics , Madison, USA.

Sahana, G., Zhang, Q., Guldbrandtsen, B. & Lund, M. S. (2016). Rare variants’ impact on female fertility in dairy cattle. Poster session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Shetty, N., Løvendahl, P., Lund, M. S. & Buitenhuis, A. J. (2016). Representative sample selection using FT-IR milk spectra to predict dry matter intake in dairy cows. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8

Thomasen, J. R., Willam, A., Egger-Danner, C. & Sørensen, A. C. (2016). Reproductive technologies combine well with genomic selection in dairy breeding programs. Journal of Dairy Science, 99(2), 1331-40. https://doi.org/10.3168/jds.2015-9437

Lund, M. S., van den Berg, I., Ma, P., Brøndum, R. F. & Su, G. (2016). Review: How to improve genomic predictions in small dairy cattle populations. Animal, 10(6), 1042-1049. https://doi.org/10.1017/S1751731115003031

Hamzic, E., Kjærup, R. B., Mach , N., Minozzi, G., Strozzi, F., Gualdi, V., Williams, J. L., Chen, J., Wattrang, E., Buitenhuis, A. J., Juul-Madsen, H. R. & Dalgaard, T. S. (2016). RNA sequencing based analysis of the spleen transcriptome following the infectious bronchitis virus infection of chickens selected for different mannose-binding lectin serum concentrations. BMC Genomics, 17(1), Artikel 82. https://doi.org/10.1186/s12864-016-2403-1

Ismael, A. I. S., Strandberg, E., Berglund, B., Fogh, A. & Løvendahl, P. (2016). Seasonality of fertility measured by physical activity traits in Holstein cows. Journal of Dairy Science, 99(4), 2837-2848. https://doi.org/10.3168/jds.2015-10067

Su, G., Ma, P., Nielsen, U. S., Aamand, G. P., Wiggans, G., Guldbrandtsen, B. & Lund, M. S. (2016). Sharing reference data and including cows in the reference population improve genomic predictions in Danish Jersey. Animal, 10(6), 1067-1075. https://doi.org/10.1017/S1751731115001792

Gebreyesus, G., Lund, M. S., Janss, L., Poulsen, N. A., Larsen, L. B., Bovenhuis, H. & Buitenhuis, A. J. (2016). Short communication: Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein. Journal of Dairy Science, 99(4), 2863-2866. https://doi.org/10.3168/jds.2015-10501

Løvendahl, P. & Sehested, J. (2016). Short communication: Individual cow variation in urinary excretion of phosphorus. Journal of Dairy Science, 99(6), 4580-4585. Artikel 74483. https://doi.org/10.3168/jds.2015-10338

Li, X., Lund, M. S., Zhang, Q., Costa, C. N., Ducrocq, V. & Su, G. (2016). Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations. Journal of Dairy Science, 99(6), 4574-4579. Artikel 74482. https://doi.org/10.3168/jds.2015-10609

Løvendahl, P., Sørensen, L. P., Bjerring, M. & Lassen, J. (2016). Short communication: Genetic variation in choice consistency for cows accessing automatic milking units. Journal of Dairy Science, 99(12), 9857-9863. https://doi.org/10.3168/jds.2016-11287

Mao, X., Johansson, A. M., Sahana, G., Guldbrandtsen, B. & De Koning, D.-J. (2016). Short communication: Imputation of markers on the Bovine X chromosome. Journal of Dairy Science, 99(9), 7313-7318. https://doi.org/10.3168/jds.2016-11160

Kargo, M., Hjortø, L., Slagboom, M., Thomasen, J. R., Buitenhuis, A. J., Hein, L., Pedersen, J. & Munk, A. (2016). SOBcows - Specialized organic breeding goals and breeding schemes within dairy production. Afhandling præsenteret på Nordic workshop in dairy cattle genetics and genomics, Copenhagen, Danmark. http://orgprints.org/30151/

Ostersen, T., Christensen, O. F., Madsen, P. & Henryon, M. (2016). Sparse single-step method for genomic evaluation in pigs. Genetics Selection Evolution, 48(1), Artikel 48. https://doi.org/10.1186/s12711-016-0227-8

Rovere, G. A. (2016). Sport horses: Breeding specialist from a single breeding programme. GVO drukkers & vormgevers B.V.| Ponsen & Looijen, Ede, The Netherlands.

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Jette Odgaard Villemoes