Publikationer

Peer-reviewed publikationer ved QGG

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

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

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

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

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

Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J. & Løvendahl, P. (2017). Using nonlinear quantile regression to describe the milk somatic cell count of Iranian Holstein cows. 262. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

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

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

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2017). Weighted Multi-Trait GBLUP: Using (co)variance estimates from Bayesian models. Poster-session præsenteret på 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Danmark.

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

Guldbrandtsen, B., Mullaart, E., Fritz, S., De Roo, S., Aamand, G. P., David, X., Jimenez, J. A., Alkhoder, H., Liu, Z., Schrooten, C. & Zukowski, K. (2017). Wide-spread adoption of customized genotyping improves European cattle breeding. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

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

Esfandyari, H. & Sørensen, A. C. (2017). xbreed: an R package for genomic simulation of purebreds and crossbreds. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.

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

Fè, D., Ashraf, B. H., Pedersen, M. G., Janss, L., Byrne, S., Roulund, N., Lenk, I., Didion, T., Asp, T., Jensen, C. S. & Jensen, J. (2016). Accuracy of genomic prediction in a commercial perennial ryegrass breeding program. The Plant Genome, 9(3). https://doi.org/10.3835/plantgenome2015.11.0110

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

Rovere, G., Ducro, B. J., van Arendonk, J. A. M., Norberg, E. & Madsen, P. (2016). Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses. Journal of Animal Breeding and Genetics, 133(6), 503-512. https://doi.org/10.1111/jbg.12221

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

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

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

Wu, X., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2016). Association analysis for feet and legs disorders with whole-genome sequence variants in 3 dairy cattle breeds. Journal of Dairy Science, 99(9), 7221–7231. https://doi.org/10.3168/jds.2015-10705

Bengtsson, C., Fogh, A. & Kargo, M. (2016). Avlsindekset for persistens har begrænset information om ydelsen i sen laktation. Ny KvægForskning, (5), 7-8.

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

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). 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

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

Steffensen, S., Pedersen, H., Adhikari, K., Laursen, B., Jensen, C., Høyer, S., Borre, M., Pedersen, H. H., Borre, M., Edwards, D. & Fomsgaard, I. S. (2016). Benzoxazinoids in Prostate Cancer Patients after a Rye-Intensive Diet: Methods and Initial Results. Journal of Agricultural and Food Chemistry, 64(43), 8235-8245. https://doi.org/10.1021/acs.jafc.6b03765

Guldbrandtsen, B., (2016). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, Nr. 2234410, 8 s., aug. 27, 2016.

Wang, L., Madsen, P., Sapp, R., Henshall, J., Hawken, R., Alemu, S. W., Sørensen, A. C. & Jensen, J. (2016). Bias due to selective genotyping in genomic prediction using H-BLUP. Poster-session præsenteret på XXV World's Poultry Congress (WPC2016), Beijing, Kina.

Wang, L., Madsen, P., Sapp, R., Henshall, J., Hawken, R., Alemu, S. W., Sørensen, A. C. & Jensen, J. (2016). Bias due to selective genotyping in genomic prediction using H-BLUP. Poster-session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Løvendahl, P., Strandberg, E. & Ismael, A. I. S. (2016). BIG DATA may be useful to dairy herd managers - after washing and drying. Abstract fra Fourth Dairycare Conference, Lissabon, Portugal.

Le, T. H. (2016). Breeding for robust sows: Association between leg conformation, fertility and sow stayability. Aarhus University, Science and Technology.

Amayi, A. A., Okeno, T. O., Gicheha, M. G. & Kahi, A. K. (2016). Breeding systems for genetic improvement of dairy goats in smallholder production systems in Kenya. Small Ruminant Research, 144, 176-183. https://doi.org/10.1016/j.smallrumres.2016.09.017

Ulrich-Lynge, S. L., Juul-Madsen, H. R., Kjærup, R. B., Okimoto, R., Abrahamsen, M., Maurischat, S., Sørensen, P. & Dalgaard, T. S. (2016). Broilers with low serum Mannose-binding Lectin show increased faecal shedding of Salmonella enterica serovar Montevideo. Poultry Science, 95(8), 1779-1786. https://doi.org/10.3382/ps/pew101

Zhu, Z., Noel, S. J., Difford, G., Al-Soud, W. A., Brejnrod, A. D., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2016). Community structure of rumen metabolically active bacterial and archaeal communities in dairy cows over the transition period. Poster-session præsenteret på INRA - Rowett 2016, Clermont-Ferrand, Frankrig.

Katam, R., Sakata, K., Suravajhala, P., Pechan, T., Kambiranda, D. M., Naik, K. S., Guo, B. & Basha, S. M. (2016). Comparative leaf proteomics of drought-tolerant and -susceptible peanut in response to water stress. Journal of Proteomics, 143, 209-226. https://doi.org/10.1016/j.jprot.2016.05.031

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

van den Berg, I., Boichard, D. & Lund, M. S. (2016). Comparing power and precision of within-breed and multibreed genome-wide association studies of production traits using whole-genome sequence data for 5 French and Danish dairy cattle breeds. Journal of Dairy Science, 99(11), 8932-8945. https://doi.org/10.3168/jds.2016-11073

Zhang, Q., Guldbrandtsen, B., Calus, M. P. L., Lund, M. S. & Sahana, G. (2016). Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships. Genetics Selection Evolution, 48(1), Artikel 60. https://doi.org/10.1186/s12711-016-0238-5

Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. Genetics (Print), 203(4), 1901-1913. https://doi.org/10.1534/genetics.116.189498

Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. 1901-1913. Poster-session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.

Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. 1901-1913. Poster-session præsenteret på 2nd Annual Danish Bioinformatics Conference, Odense, Danmark.

Iddamalgoda, L., Das, P. S., Aponso, A., Sundararajan, V. S., Suravajhala, P. & Valadi, J. K. (2016). Data Mining and Pattern Recognition Models for Identifying Inherited Diseases: Challenges and Implications. Frontiers in Genetics, 7(AUG), Artikel 136. https://doi.org/10.3389/fgene.2016.00136

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

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

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

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

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.

Groeneveld, L. F., Gregusson, S., Guldbrandtsen, B., Hiemstra, S. J., Hveem, K., Kantanen, J., Lohi, H., Stroemstedt, L. & Berg, P. (2016). Domesticated Animal Biobanking: Land of Opportunity. PLoS Biology, 14(7), Artikel e1002523. https://doi.org/10.1371/journal.pbio.1002523

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

Anneberg, I., Østergaard, S., Ettema, J. F. & Kudahl, A. B. (2016). Economic figures in herd health programmes as motivation factors for farmers. Preventive Veterinary Medicine, 134, 170-178. https://doi.org/10.1016/j.prevetmed.2016.10.007

Noel, S. J., Olijhoek, D., Lassen, J., Løvendahl, P., Lund, P. & Højberg, O. (2016). Effect of dietary concentrate on rumen fermentation, methane production and the archaeal community of different breeds and feed efficency. Poster-session præsenteret på INRA - Rowett 2016, Clermont-Ferrand, Frankrig.

Noel, S. J., McLean, F., Olijhoek, D., Lassen, J., Løvendahl, P., Lund, P. & Højberg, O. (2016). Effects of dietary concentrate on rumen fermentation, methane production and the archaeal community in dairy cows of different breeds and feed efficiencies. I Proceedings: Gut Microbiology - 20 Years & counting. 10th INRA-Rowett Symposium (s. 139-139).

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

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

Buitenhuis, A. J., Poulsen, N. A., Gebreyesus, G. & Larsen, L. B. (2016). Estimation of genetic parameters and detection of chromosomal regions affecting the major milk proteins and their post translational modifications in Danish Holstein and Danish Jersey cattle. BMC Genetics, 17(1), Artikel 114. https://doi.org/10.1186/s12863-016-0421-2

Jensen, J. (2016). Estimation of genetic variance in the age of genomics. Journal of Animal Breeding and Genetics, 133(5), 333. https://doi.org/10.1111/jbg.12235

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

Herold, C., Hooli, B. V., Mullin, K., Liu, T., Roehr, J. T., Mattheisen, M., Parrado, A. R., Bertram, L., Lange, C. & Tanzi, R. E. (2016). Family-based association analyses of imputed genotypes reveal genome-wide significant association of Alzheimer's disease with OSBPL6, PTPRG, and PDCL3. Molecular Psychiatry, 21(11), 1608-1612. https://doi.org/10.1038/mp.2015.218

Kargo, M., Buitenhuis, A. J. & Munk, A. (2016). Fedtsyreprofilen i mælk fra malkekøer - potentiale og perspektiver. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Nr. 088

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

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

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Jette Odgaard Villemoes