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Center for Kvantitativ Genetik og Genomforskning

Publikationer

Peer-reviewed publikationer ved QGG

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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. Book of Abstracts of the Annual EAAP Meeting Bind 22 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). [0395] http://www.jtmtg.org/JAM/2016/abstracts/134.pdf

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, [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, [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 ved 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. Book of Abstracts of the Annual EAAP Meeting Bind 22 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, [193]. https://doi.org/10.3389/fcimb.2016.00193

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

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

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. [98]. https://doi.org/10.1186/s12711-016-0271-4

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

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, [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

Nielsen, N. H., Jahoor, A., Jensen, J. D., Orabi, J., Cericola, F., Edriss, V. & Jensen, J. (2016). Genomic prediction of seed quality traits using advanced barley breeding lines. P L o S One, 11(10), [e0164494]. https://doi.org/10.1371/journal.pone.0164494

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), [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

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. [0407]. https://doi.org/10.2527/jam2016-0407

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. Book of Abstracts of the Annual EAAP Meeting Bind 22 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., 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. [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. Book of Abstracts of the Annual EAAP Meeting Bind 22 https://doi.org/10.3920/978-90-8686-830-8

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), [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. Book of Abstracts of the Annual EAAP Meeting Bind 22 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). 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

Difford, G. F., Lassen, J. & Løvendahl, P. (2016). Interchangeability between methane measurements in dairy cows assessed by comparing precision and agreement of two non-invasive infrared methods. Computers and Electronics in Agriculture, 124, 220-226. https://doi.org/10.1016/j.compag.2016.04.010

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 ved 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

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

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. [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. Book of Abstracts of the Annual EAAP Meeting Bind 22 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

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

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). 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 ved 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.

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, 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.

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.

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), [82]. https://doi.org/10.1186/s12864-016-2403-1

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 ved 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 ved 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. Book of Abstracts of the Annual EAAP Meeting Bind 22 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

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. Paper præsenteret ved Nordic workshop in dairy cattle genetics and genomics, Copenhagen, Danmark. http://orgprints.org/30151/

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

Van den Berg, I., Boichard, D. & Lund, M. S. (2016). Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle. Genetics Selection Evolution, 48, [83]. https://doi.org/10.1186/s12711-016-0259-0

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. 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. [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

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

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. [1158365]. https://doi.org/10.1080/19336934.2016.1158365

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. [135]. https://doi.org/10.3390/sym8110135

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), [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. Book of Abstracts of the Annual EAAP Meeting Bind 22 https://doi.org/10.3920/978-90-8686-830-8

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

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). 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

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)

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

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.

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

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

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. EAAP Book of Abstracts 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. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

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

Mao, X., Sahana, G., de Koning, D. J. & Guldbrandtsen, B. (2015). Association studies for growth index in three dairy cattle breeds using whole-genome sequence data. I Book of Abstracts of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21, s. 347-347). Wageningen Academic Publishers. EAAP Book of Abstracts https://doi.org/10.3920/978-90-8686-816-2

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

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Revideret 05.11.2021 -

Jette Odgaard Villemoes