Publikationer

Peer-reviewed publikationer ved QGG

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Østergaard, S., Ettema, J. F., Hjortø, L., Pedersen, J., Lassen, J. & Kargo, M. (2016). Avoiding double counting when deriving economic values through stochastic dairy herd simulation. Livestock Science, 187, 114-124. https://doi.org/10.1016/j.livsci.2016.03.004

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

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

Sahana, G., Iso-Touru, T., Wu, X., Nielsen, U., de Koning, D.-J., Lund, M. S., Vilkki, J. & Guldbrandtsen, B. (2016). A 0.5-Mbp deletion on bovine chromosome 23 is a strong candidate for stillbirth in Nordic Red cattle. Genetics Selection Evolution, 48(1), Artikel 35. https://doi.org/10.1186/s12711-016-0215-z

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

Bovenhuis, H., Visker, M. H. P. W., Poulsen, N. A., Sehested, J., van Valenberg, H. J. F., van Arendonk, J. A. M., Larsen, L. B. & Buitenhuis, A. J. (2016). Effects of the diacylglycerol o-acyltransferase 1 (DGAT1) K232A polymorphism on fatty acid, protein, and mineral composition of dairy cattle milk. Journal of Dairy Science, 99(4), 3113-3123. https://doi.org/10.3168/jds.2015-10462

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

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

Rohde, P. D., Krag, K., Loeschcke, V., Overgaard, J., Sørensen, P. & Kristensen, T. N. (2016). A Quantitative Genomic Approach for Analysis of Fitness and Stress Related Traits in a Drosophila melanogaster Model Population. International Journal of Genomics, 2016, 1-11. Artikel 2157494. https://doi.org/10.1155/2016/2157494

Bertelsen, H. P., Gregersen, V. R., Poulsen, N. A., Nielsen, R. O., Das, A., Madsen, L. B., Buitenhuis, A. J., Holm, L.-E., Panitz, F., Larsen, L. B. & Bendixen, C. (2016). Detection of genetic variation affecting milk coagulation properties in Danish Holstein dairy cattle by analyses of pooled whole-genome sequences from phenotypically extreme samples (pool-seq). Journal of Animal Science, 94(4), 1365-1376. https://doi.org/10.2527/jas.2015-9884

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

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

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/

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

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

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

Sørensen, A. C. (2016). Den perfekte øko-so forudsætter uafhængigt avlsarbejde. Oekologi & Erhverv, (584), 12. http://orgprints.org/29908/1/Sorensen_2016_avlsarbejde_svineproduktion.pdf

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

Xiang, T., Nielsen, B., Su, G., Legarra, A. & Christensen, O. F. (2016). Application of single-step genomic evaluation for crossbred performance in pig. Journal of Animal Science, 94(3), 936-948. https://doi.org/10.2527/jas.2015-9930

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

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

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.

Alemu, S. W., Berg, P., Janss, L. & Bijma, P. (2016). Estimation of indirect genetic effects in group-housed mink (Neovison vison) should account for systematic interactions either due to kin or sex. Journal of Animal Breeding and Genetics, 133(1), 43-50. https://doi.org/10.1111/jbg.12163

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

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

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

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

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

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

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

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

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

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

Thodberg, K., Sørensen, L. U., Videbech, P. B., Haun Poulsen, P., Houbak, B., Damgaard, V., Keseler, I., Edwards, D. & Christensen, J. W. (2016). Behavioral Responses of Nursing Home Residents to Visits From a Person with a Dog,a Robot Seal or a Toy Cat. Anthrozoos, 29(1), 107-121. https://doi.org/10.1080/08927936.2015.1089011

Ashraf, B. H., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Lenk, I., Roulund, N., Didion, T., Jensen, C. S., Jensen, J. & Janss, L. L. (2016). Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing. Theoretical and Applied Genetics, 129(1), 45-52. https://doi.org/10.1007/s00122-015-2607-9

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

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

Manzanares, C., Barth, S., Thorogood, D., Byrne, S., Yates, S., Czaban, A., Asp, T., Yang, B. & Studer, B. (2016). A Gene Encoding a DUF247 Domain Protein Cosegregates with the S Self-Incompatibility Locus in Perennial Ryegrass. Molecular Biology and Evolution, 33(4), 870-884. https://doi.org/10.1093/molbev/msv335

Michot, P., Chahory, S., Marete, A. G., Grohs, C., Dagios, D., Donzel, E., Aboukadiri, A., Deloche, M.-C., Allais-Bonnet, A., Chambrial, M., Barbey, S., Genestout, L., Boussaha, M., Danchin-Burge, C., Fritz, S., Boichard, D. & Capitan, A. (2016). A reverse genetic approach identifies an ancestral frameshift mutation in RP1 causing recessive progressive retinal degeneration in European cattle breeds. Genetics Selection Evolution, 48. https://doi.org/10.1186/s12711-016-0232-y

Shirali, M., Varley, P. F. & Jensen, J. (2016). Bayesian analysis of selection response on linear or ratio feed efficiency traits in pigs. 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

Thodberg, K., Sørensen, L. U., Videbech, P. B., Haun Poulsen, P., Houbak, B., Damgaard, V., Keseler, I., Edwards, D. & Christensen, J. W. (2016). Behaviour of nursing home residents towards a visiting animal and the human companion - A randomized controlled trial in 4 Danish nursing homes. I M. B. Jensen, K. Thodberg & J. W. Christensen (red.), Nordic ISAE 2016: Proceedings of the 26th Nordic Regional Symposium of the International Society for Applied Ethology (January 2016 udg., Bind DCA Report No. 070, s. 27-27). http://web.agrsci.dk/djfpublikation/djfpdf/DCArapport070.pdf

Difford, G., Lassen, J. & Løvendahl, P. (2016). Comparing equipment for recording enteric methane concentrations, carbon dioxide concentrations and their ratio in the breath of Danish Holsteins during automated milking. Abstract fra 6th Greenhouse Gas and Animal Agriculture Conference, Melbourne, Australien.

Szalanski, M., Difford, G., Løvendahl, P. & Lassen, J. (2016). Comparing methods to analyse raw, large-scale methane data. 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

Ehsani, A., Janss, L., Pomp, D. & Sørensen, P. (2016). Decomposing genomic variances in a mouse F2 population using information from GWA, GWE and eQTL analyses. Animal Genetics, 47(2), 165-173. https://doi.org/10.1111/age.12396

Hein, L., Buitenhuis, A. J., Gregersen, S. B., Larsen, L. B., Demirovic, D., Warnecke, S., Nielsen, N. H., Munk, A., Sørensen, L. P., Pedersen, J. & Kargo, M. (2016). Detailed milk fatty acid profiling of the Danish dairy cattle population. http://www.icar.org/Documents/Puerto%20Varas%202016%20Abstracts/files/TS/TS%203/RDY/ICAR%202016%20paper_FINAL%20Niels%20nielsen.pdf

Jardim, J. G., Sahana, G., Quirino, C., Peixoto, M., Santos, G. & Lund, M. S. (2016). Detection of QTL for mastitis resistance and related functional traits in Bos Taurus and Bos indicus. 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

Salleh, S. M., Mazzoni, G., Höglund, J., Olijhoek, D., Lund, P., Løvendahl, P. & Kadarmideen, H. (2016). Differential Expression of Genes between High and Low Feed Efficiency in Holstein and Jersey Cattle. Abstract fra PAG ASIA 2016, Singapore.

Marete, A. G., Lund, M. S. & Boichard, D. A. (2016). Dissecting dairy complex traits beyond additive effects using genetic markers. Abstract fra 19 thSéminaire des thésards du Département de Génétique Animale, Toulouse, Frankrig.

Marete, A. G., Lund, M. S. & Boichard, D. A. (2016). Dissecting dairy complex traits using genetic markers: combining GWASand functional pathways. Poster-session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Shirali, M., Varley, P. F. & Jensen, J. (2016). ECO FCE: Value of RFI vs FCR in genetic selection programs. I ook of AbsBook 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., Shirali, M., Ostersen, T., H, R., Varley, P. & Sørensen, P. (2016). ECO-FCE: Integrative genomic models for FCE in monogastries. 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

Zetouni, L., Kargo, M. & Lassen, J. (2016). Fertility and health traits correlations with methane emissions. 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

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.

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

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

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

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

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.

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

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

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.

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

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.

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

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

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

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

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

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

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.

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

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.

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.

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.

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

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

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)

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

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

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

Christensen, O. F., Legarra, A., Lund, M. S. & Su, G. (2015). Genetic evaluation for three-way crossbreeding. Genetics Selection Evolution, 47(98). https://doi.org/10.1186/s12711-015-0177-6

Sørensen, A. C., (2015). Vurdering af en tysk geneksperts påstand om det ønskelige i far/datter parringer, Nr. 1580073, 1 s., dec. 15, 2015.

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.

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Chachra, D., Kaur, P., Siddavatam, P., Suravajhala, P. & Saxena, H. M. (2015). On genome annotation of Brucellaphage Gadvasu (BpG): discovery of ORFans for integrated systems biology approaches. Systems and synthetic biology, 9(Suppl 1), 57-62. https://doi.org/10.1007/s11693-015-9185-7

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