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Center for Quantitative Genetics and Genomics

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Peer-reviewed publications at QGG

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Guldbrandtsen, B., (2016). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, No. 2234410, 8 p., 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 presented at XXV World's Poultry Congress (WPC2016), Beijing, China.

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 presented at 5th International Conference on Quantitative Genetics , Madison, United States.

Løvendahl, P., Strandberg, E. & Ismael, A. I. S. (2016). BIG DATA may be useful to dairy herd managers - after washing and drying. Abstract from 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 presented at INRA - Rowett 2016, Clermont-Ferrand, France.

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 from 6th Greenhouse Gas and Animal Agriculture Conference, Melbourne, Australia.

Szalanski, M., Difford, G., Løvendahl, P. & Lassen, J. (2016). Comparing methods to analyse raw, large-scale methane data. In 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), Article 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 presented at 5th International Conference on Quantitative Genetics , Madison, United States.

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 presented at 2nd Annual Danish Bioinformatics Conference, Odense, Denmark.

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), Article 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. In 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 from PAG ASIA 2016, Singapore.

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. Poster session presented at 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 from 19 thSéminaire des thésards du Département de Génétique Animale, Toulouse, France.

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

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), Article 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. In 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. In 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 presented at INRA - Rowett 2016, Clermont-Ferrand, France.

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. In Proceedings: Gut Microbiology - 20 Years & counting. 10th INRA-Rowett Symposium (pp. 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), Article 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 No. 088

Zetouni, L., Kargo, M. & Lassen, J. (2016). Fertility and health traits correlations with methane emissions. In 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 presented at 5th International Conference on Quantitative Genetics , Madison, United States.

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 from 2nd Annual Danish Bioinformatics Conference, Odense, Denmark.

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 presented at 2nd Annual Danish Bioinformatics Conference, Odense, Denmark.

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 No. 082

Difford, G., Lassen, J. & Løvendahl, P. (2016). Genes and microbes, the next step in dairy cattle breeding. In 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. In 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 (Vol. 22, pp. 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. In 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. In Book of Abstracts of the ASAS-ADSA-CSAS-WSASAS 20146 Joint Annual Meeting (pp. 187). Article 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, Article 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), Article 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 presented at 5th International Conference on Quantitative Genetics , Madison, United States.

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. In 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. In 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, Article 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. Article 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 from Plant & Animal Genome Conference, San Diego, United States.

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 presented at 12th International Barley Genetics Symposium, Minneapolis, United States.

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), Article 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), Article 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), Article 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 from The XXV World's Poultry Congress, Beijing, China. 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 from 12th International Barley Genetics Symposium, Minneapolis, United States.

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. Article 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. In 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. Article 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. In 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. Article 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. Article 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. In 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), Article 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 from 13th Solanaceae Conference, Davis, United States.

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, No. 1603555, No. 105789 , 12 p., 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 presented at 5th International Conference on Quantitative Genetics , Madison, United States.

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

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