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Center for Kvantitativ Genetik og Genomforskning

Publikationer

Peer-reviewed publikationer ved QGG

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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.

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

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.

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.

Poulsen, N. A., Rosengaard, A. K., Szekeres, B. D., Gregersen, V. R., Jensen, H. B. & Larsen, L. B. (2016). Protein heterogeneity of bovine β-casein in Danish dairy breeds and association of rare β-casein F with milk coagulation properties. Acta Agriculturae Scandinavica, Section A - Animal Science, 66(4), 190-198. https://doi.org/10.1080/09064702.2017.1342858

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.

Chen, M. (2016). Studies on selection signatures in the genome of domestic animals. Aarhus University, Science and Technology.

Derks, M., Blavy, P., Höglund, J. & Friggens, N. (2016). Templates to classify progesterone profiles, built using real-time milk progesterone measurements. I C. Kamphuis & W. Steeneveld (red.), Precision Dairy Farming 2016 Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-829-2

Rohde, P. D., Madsen, L. S., Arvidson, S. M. N., Loeschcke, V., Demontis, D. & Kristensen, T. N. (2016). Testing candidate genes for attention-deficit/hyperactivity disorder in fruit flies using a high throughput assay for complex behavior. Fly, 10(1), 25-34. Artikel 1158365. https://doi.org/10.1080/19336934.2016.1158365

Zhu, Z., Noel, S. J., Difford, G., Abu Al-Soud, W., Brejnrod, A., Sørensen, J., Lassen, J., Løvendahl, P. & Højberg, O. (2016). The community structure of rumen metabolically active bacterial and archaeal communities in dairy cows over the transition period. I Proceedings: Gut Microbiology - 20 Years & counting. 10th INRA-Rowett Symposium (s. 92-92).

Cai, Z., Panitz, F., Petersen, B., Sahana, G., Thomsen, B., Bendixen, C., Lund, M. S. & Guldbrandtsen, B. (2016). The draft genome sequence of the American mink (Neovison vison) opens new opportunities of genomic research in mink. I Proceedings of the XIth International Scientific Congress in Fur Animal Production (s. 131-136)

Moyes, K. M., Sørensen, P. & Bionaz, M. (2016). The impact of intramammary Escherichia coli challenge on liver and mammary transcriptome and cross-talk in dairy cows during early lactation using RNAseq. P L o S One, 11(6), Artikel e0157480. https://doi.org/10.1371/journal.pone.0157480

Buitenhuis, A. J., Poulsen, N. A., Noel, S. J., Plichta, D. R. & Lassen, J. (2016). The impact of the rumen microbiome on the detailed milk fatty acid profile in Danish Holstein cattle. I ook 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

Pertoldi, C., Bahrndorff, S., Kurbalija Novicic, Z. & Rohde, P. D. (2016). The Novel Concept of “Behavioural Instability” and Its Potential Applications. Symmetry, 8(11), 1-13. Artikel 135. https://doi.org/10.3390/sym8110135

Thodberg, K., Uhrskov, L., Christensen, J. W., Haun Poulsen, P., Houbak, B., Damgaard, V. J., Keseler, I., Edwards, D. & Videbech, P. (2016). Therapeutic effects of dog visits in nursing homes for the elderly. Psychogeriatrics, 16(5), 289-297. https://doi.org/10.1111/psyg.12159

Xia, D., Zhang, S., Nielsen, E., Ivarsen, A. R., Liang, C., Li, Q., Thomsen, K., Hjortdal, J. Ø. & Dong, M. (2016). The Ultrastructures and Mechanical Properties of the Descement's Membrane in Fuchs Endothelial Corneal Dystrophy. Scientific Reports, 6, Artikel 23096. https://doi.org/10.1038/srep23096

Salleh, S. M., Mazzoni, G., Höglund, J., Olijhoek, D., Lund, P., Løvendahl, P. & Kadarmideen, H. N. (2016). Transcritpomics of feed efficiency in Nordic dairy cattle. Abstract fra 67th Annual Meeting of the European Federation of Animal Science (EAAP 2016), Belfast, Storbritannien.

Schönherz, A. A., Lorenzen, N., Guldbrandtsen, B., Buitenhuis, B. & Einer-Jensen, K. (2016). Ultra-deep sequencing of VHSV isolates contributes to understanding the role of viral quasispecies. Veterinary Research, 47(10), Artikel 10. https://doi.org/10.1186/s13567-015-0298-5

Pedersen, H. S., Callesen, H., Løvendahl, P., Chen, F., Nyengaard, J. R., Nikolaisen, N. K., Holm, P. & Hyttel, P. (2016). Ultrastructure and mitochondrial numbers in pre- and postpubertal pig oocytes. Reproduction, Fertility and Development, 28(5), 586-598. https://doi.org/10.1071/RD14220

van den Berg, I., Boichard, D., Guldbrandtsen, B. & Lund, M. S. (2016). Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study. G3: Genes, Genomes, Genetics, 6(8), 2553-2561. https://doi.org/10.1534/g3.116.027730

Esfandyari, H., Sørensen, A. C. & Bijma, P. (2015). A crossbred reference population can improve the response to genomic selection for crossbred performance. Genetics Selection Evolution, 47(76), 1-12. https://doi.org/10.1186/s12711-015-0155-z

Lidauer, M. H., Pösö, J., Pedersen, J., Lassen, J., Madsen, P., Mäntysaari, E. A., Nielsen, U. S., Eriksson, J.-Å., Johansson, K., Pitkänen, T., Strandén, I. & Aamand, G. P. (2015). Across-country test-day model evaluations for Holstein, Nordic Red Cattle, and Jersey. Journal of Dairy Science, 98(2), 1296-1309. https://doi.org/10.3168/jds.2014-8307

Arsenos, A., Ferris, C., Moorby, J. M., Rinne, M., Sairanen, A., Shingfield, K., Sørensen, P., Steinwidder, A., Vestergaard, M. & Zollitsch, W. (2015). Adaptation of dairy cattle and goat breeds to organic and low input production systems: Delivrable 2.5 Official deliverable of the 7th Framework Programme KBBE.

Legarra, A., Christensen, O. F., Vitezica, Z. G., Aguilar, I. & Misztal, I. (2015). Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships. Genetics (Print), 200(2), 455-468. https://doi.org/10.1534/genetics.115.177014

Pickering, N. K., Oddy, V. H., Basarab, J., Cammack, K., Hayes, B., Hegarty, R. S., Lassen, J., McEwan, J. C., Miller, S., Pinares-Patiño, C. S. & de Haas, Y. (2015). Animal board invited review: genetic possibilities to reduce enteric methane emissions from ruminants. Animal, 9(09), 1431-1440. https://doi.org/10.1017/S1751731115000968

Løvendahl, P. & Munksgaard, L. (2015). An investigation into genetic and phenotypic variation in time budgets and yield of dairy cows. Journal of Dairy Science, 99(1), 408-417. https://doi.org/10.3168/jds.2015-9838

Hamzic, E., Pinard-van der Laan, M.-H., Bed'hom, B. & Juul-Madsen, H. R. (2015). Annotation and genetic diversity of the chicken collagenous lectins. Molecular Immunology, 65(2), 277-286. http://www.sciencedirect.com/science/article/pii/S0161589015000371

Xiang, T., Nielsen, B., Legarra, A. & Christensen, O. F. (2015). Application of single-step genomic evaluation for crossbred performance in pig. I Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-816-2

Su, G., Nielsen, U. S., Ma, P., Aamand, G. P. & Lund, M. S. (2015). Approaches to improve genomic predictions in Danish Jersey. I Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21, s. 250-250). Wageningen Academic Publicers. https://doi.org/10.3920/978-90-8686-816-2

Meier, K., Lund, M. S. & Sørensen, A. C. (2015). A simulation study of a future infrastructure supporting genomic selection in mink. I Proceedings of NJF fur animal seminar 485 (s. 221-230)

Wu, X., Lund, M. S., Sahana, G., Guldbrandtsen, B., Sun, D., Zhang, Q. & Su, G. (2015). Association analysis for udder health based on SNP-panel and sequence data in Danish Holsteins. Genetics Selection Evolution, 47(50), 1-14. https://doi.org/10.1186/s12711-015-0129-1

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Wone, B. W. M., Madsen, P., Donovan, E. R., Labocha, M. K., Sears, M. W., Downs, C. J., Sorensen, D. & Hayes, J. P. (2015). A strong response to selection on mass-independent maximal metabolic rate without a correlated response in basal metabolic rate. Heredity, 114, 417-427. https://doi.org/10.1038/hdy.2014.122

Sørensen, P., Moorby, J., Shingfield, K. & Vestergaard, M. (2015). Biomarkers for health, fertility and milk quality of dairy cows: Delivrable 2.5 Official deliverable of the 7th Framework Programme KBBE. I Adaptation of dairy cattle and goat breeds to organic and low input production systems (s. 108-115)

Castro Dias Cuyabano, B., Su, G., Rosa, G. J. M., Lund, M. S. & Gianola, D. (2015). Bootstrap study of genome-enabled prediction reliabilities using haplotype blocks across Nordic Red cattle breeds. Journal of Dairy Science, 98(10), 7351-63. https://doi.org/10.3168/jds.2015-9360

Gregersen, V. R., Gustavsson, F., Glantz, M., Christensen, O. F., Stålhammar, H., Andrén, A., Lindmark-Månsson, H., Poulsen, N. A., Larsen, L. B., Paulsson, M. & Bendixen, C. (2015). Bovine chromosomal regions affecting rheological traits in rennet-induced skim milk gels. Journal of Dairy Science, 98, 1261-1272. https://doi.org/10.3168/jds.2014-8136

Axelsson, H. H., Thomasen, J. R., Sørensen, A. C., Rydhmer, L., Kargo, M., Johansson, K. & Fikse, W. F. (2015). Breakeven prices for recording of indicator traits to reduce the environmental impact of milk production. Journal of Animal Breeding and Genetics, 132(1), 30-41. https://doi.org/10.1111/jbg.12106

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Jette Odgaard Villemoes