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Publications

Peer-reviewed publications at QGG

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Daetwyler, H. D., Capitan, A., Pausch, H., Stothard, P., van Binsbergen, R., Brøndum, R. F., Liao, X., Djari, A., Rodriguez, S. C., Grohs, C., Jung, S., Esquerré, D., Bouchez, O., Gollnick, N. S., Rossignol, M.-N., Klopp, C., Rocha, D., Fritz, S., Eggen, A. ... Hayes, B. J. (2014). Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle. Nature Genetics, 46(8), 858 - 865.
Zhou, L., Heringstad, B., Su, G., Guldbrandtsen, B., Meuwissen, T. H. E., Svendsen, M., Grove, H., Nielsen, U. S. & Lund, M. S. (2014). Genomic predictions based on a joint reference population for the Nordic Red cattle breeds. Journal of Dairy Science, 97(7), 4485-4496. https://doi.org/10.3168/jds.2013-7580
Zhu, Z., Kristensen, L., Poulsen, M., Lassen, J., Noel, S. J., Højberg, O. & Løvendahl, P. (2014). Dairy cow rumen fermentation characteristics at the onset of lactation. Poster session presented at Rowett-INRA 2014. Gut Microbiology: from Sequence to Function, Aberdeen, United Kingdom.
Kjærup, R. M., Dalgaard, T. S., Norup, L. R., Sørensen, P. & Juul-Madsen, H. R. (2014). Different serum levels of mannose-binding lectin influence the immune responses in chickens after infectious bronchitis infection. Abstract from 8TH INTERNATIONAL SYMPOSIUM ON AVIAN CORONA- AND PNEUMOVIRUSES AND COMPLICATING PATHOGENS, Rauischholzhausen, Germany.
Berry, D. P., Coffey, M. P., Pryce, J. E., de Haas, Y., Løvendahl, P., Krattenmacher, N., Crowley, J. J., Wang, Z., Spurlock, D., Weigel, K., Macdonald, K. & Veerkamp, R. F. (2014). International genetic evaluations for feed intake in dairy cattle through the collation of data from multiple sources. Journal of Dairy Science, 97(6), 3894-3904. https://doi.org/10.3168/jds.2013-7548
de los Campos, G. & Sorensen, D. (2014). On the genomic analysis of data from structured populations. Journal of Animal Breeding and Genetics, 131(3), 163-164. https://doi.org/10.1111/jbg.12091
Legarra, A., Christensen, O. F., Aguilar, I. & Misztal, I. (2014). Single Step, a general approach for genomic selection. Livestock Science, 166, 54-65. https://doi.org/10.1016/j.livsci.2014.04.029
Løvendahl, P., Bjerring, M. & Larsen, T. (2014). A testing protocol for carry over in AMS using tracer-color dilution. In Main Program: IDF/ISO Analytical Week and ICAR/Interbull Conference (pp. 43-43) http://www.icar2014.de
de Haas, Y., Lassen, J., Pickering, N., McEwan, J., Oddy, H., Wall, E., Gengler, N., Dehareng, F., Løvendahl, P. & Rowe, S. (2014). The road to genetic selection for methane emission from ruminants: A global approach. In Main Program: IDF/ISO Analytical Week and ICAR/Interbull Conference (pp. 55-55) http://www.icar2014.de
Galesloot, T. E., Van Steen, K., Kiemeney, L. A. L. M., Janss, L. L. & Vermeulen, S. H. (2014). A comparison of multivariate genome-wide association methods. PLoS One, 9(4), 1-8. Article e95923. https://doi.org/10.1371/journal.pone.0095923
Pryce, J. E., Johnston, J., Hayes, B. J., Sahana, G., Weigel, K. A., McParland, S., Spurlock, D., Krattenmacher, N., Spelman, R. J., Wall, E. & Calus, M. P. L. (2014). Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations. Journal of Dairy Science, 97(3), 1799-1811. https://doi.org/10.3168/jds.2013-7368
Schrooten, C., Dassonneville, R., Ducrocq, V., Brøndum, R. F., Lund, M. S., Chen, J., Liu, Z., González-Recio, O., Pena, J. & Druet, T. (2014). Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip. Genetics Selection Evolution, 46(10), 1-9. https://doi.org/10.1186/1297-9686-46-10
Møller, S. H. & Berg, P. (2014). Vi kan avle for mere sociale mink! In Faglig Årsberetning 2013 (pp. 25-28). Kopenhagen Fur.
Ashraf, B., Fé, D., Jensen, J., Byrne, S., Asp, T., Greve-Pedersen, M., Lenk, I., Jensen, C. S. & Janss, L. (2014). Genomic Variance Estimation Based on Genotyping-by-Sequencing with Different Coverage in Perennial Ryegrass. In Proceeding of Plant & Animal Genome XXII: The International Conference on the Status of Plant & Animal Genome Research (pp. 157-157).
Vilkki, J., Dolezal, M. A., Sahana, G., Iso-Touru, T., Panitz, F., Fasold, M., Bagnato , A. & Soller, M. (2014). Multiple Breed Validation of Five QTL Affecting Mastitis Resistance. Abstract from Plant and Animal Genome XXII, San Diego, United States. http://pag14.mapyourshow.com/5_0/sessions/sessiondetails.cfm?ScheduledSessionID=11AECD
Vilkki, J., Dolezal, M. A., Sahana, G., Iso-Touru, T., Panitz, F., Fasold, M., Bagnato , A. & Soller, M. (2014). Multiple Breed Validation of Five QTL Affecting Mastitis Resistance. Poster session presented at Plant and Animal Genome XXII, San Diego, United States.
Norberg, E. (2014). Editorial: A special issue in honor of Professor Odd Vangen. Acta Agriculturae Scandinavica, Section A - Animal Science, 64(1), 1-1. https://doi.org/10.1080/09064702.2014.983333
Guo, G., Guo, X., Wang, Y., Zhang, X., Zhang, S., Li, X., Liu, L., Shi, W., Usman, T., Wang, X., Du, L. & Zhang, Q. (2014). Estimation of genetic parameters of fertility traits in Chinese Holstein cattle. Canadian Journal of Animal Science, 94(2), 281-285. https://doi.org/10.4141/CJAS2013-113
Gustavsson, F., Glantz, M., Buitenhuis, A. J., Lindmark-Månsson, H., Stålhammar, H., Andrén, A. & Paulsson, M. (2014). Factors influencing chymosin-induced gelation of milk from individual dairy cows: Major effects of casein micelle size and calcium. International Dairy Journal, 39(1), 201-208. https://doi.org/10.1016/j.idairyj.2014.06.011
Jonavičienė, K., Abeynayake, S., Brazauskas, G. & Asp, T. (2014). Validation of candidate genes expression profiles during cold acclimation and freezing in perennial ryegrass. In Quantitative Traits Breeding for Multifunctional Grasslands and Turf (pp. 273-278). Springer. https://doi.org/10.1007/978-94-017-9044-4_38
Marete, A. G., Ojango, J., Mujibi, F., Rao, J., Poole, J., Weerasinghe, S., Rege, E., Gondro, C. & Gibson, J. (2014). A novel use of high density SNP assays to optimize choice of different crossbred dairy. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.confex.com/asas/WCGALP14/webprogram/Paper9248.html
Fotsa, J.-C., Sørensen, P. & Pym, R. A. (2014). Breeding and reproduction. In Decision tools for family poultry development (Vol. 16, pp. 18-26). Food and Agriculture Organization of the United Nations. http://www.fao.org/docrep/019/i3542e/i3542e.pdf
Della Riva, A., Kristensen, T., De Marchi1, M., Kargo, M., Jensen, J. & Cassandro, M. (2014). Carbon footprint from dairy farming system: comparison between Holstein and Jersey cattle in Italian circumstances. Acta Agraria Kaposvàriensis, 18(Supplement 1), 75-80.
Czaban, A., Byrne, S. & Asp, T. (2014). Comparative genomics within the Lolium-Festuca complex of grasses. In L. F. Groeneveld & A. K. Præbel (Eds.), Book of Abstracts. Genetic Resources for Food and Agriculture in a Changing Climate (pp. 56). The Nordic Genetic Resource Center. http://climate.nordgen.org/downloadable-documents
van den Berg, I., Rodrigue<, S., Fritz, S., Boussaha, M., Lund, M. S. & Boichard, D. (2014). Concordance analysis for QTL detection in dairy cattle: a case study of leg morphology. Genetics Selection Evolution, 46(31). https://doi.org/10.1186/1297-9686-46-31
Gebreyesus, G., Haile, A. & Dessie, T. (2014). Evaluation of growth trends in the short-eared somali goat breed of eastern Ethiopia. Research Journal of Applied Sciences, 9(5), 224-227.
Buitenhuis, A. J., Poulsen, N. A., Larsen, L. B. & Sehested, J. (2014). Genetic Analysis of Micro- and Macro-elements in Danish Holstein and Danish Jersey Milk. Abstract from 11th International Symposium for Milk Genomics and Human Health, Aarhus, Denmark.
Su, G., Aamand, G. P., Nielsen, U. S. & Lund, M. S. (2014). Improving Genomic Prediction for Claw-health Using Multi-trait Model. Abstract from Interbull Meeting, Berlin, Germany.
Su, G., Aamand, G. P., Nielsen, U. S. & Lund, M. S. (2014). Improving genomic prediction using GBLUP model with weighted G-matrix. Abstract from Interbull Meeting, Berlin, Germany.
Byrne, S. & Asp, T. (2014). Sequencing approaches for estimating genetic diversity between ecotypes and populations in forage grasses. In A. Præbel & L. F. Groeneveld (Eds.), Book of Abstracts, Genetic Resources for Food and Agriculture in a Changing Climate (pp. 37). NordGen. https://sites.google.com/a/nordgen.org/agricultural-genetic-resources-in-changing-climate/home
Marete, A. G., Mujibi, F., Ojango, J., Rao, J., Kihara, A., Baltenweck, I., Poole, J., Rege, E., Gondro, C., Gibson, J., Mwai, O. & Karanja, T. (2014). Use of high density SNP genotypes to determine the breed composition of cross bred dairy. Paper presented at 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.confex.com/asas/WCGALP14/webprogram/Paper10026.html
Wu, X., Fang, M., Liu, L., Wang, S., Liu, J., Ding, X., Zhang, S., Zhang, Q., Zhang, Y., Qiao, L., Lund, M. S., Su, G. & Sun, D. (2013). Genome wide association studies for body conformation traits in the Chinese Holstein cattle population. BMC Genomics, 14(897), 1-10. https://doi.org/10.1186/1471-2164-14-897
Pickering, N. K., de Haas, Y., Cammack, K., Hayes, B., Hegarty, R. S., Lassen, J., McEwan, J. C., Miller, S., Pinares-Patino, C. S., Shackell, G., Vercoe, P. & Oddy, V. H. (2013, Nov 18). Consensus methods for breeding low methane emitting animals. http://www.asggn.org/publications,listing,95,mpwg-white-paper.html
Krokida, A., Delis, C., Geisler, K., Garagounis, C., Tsikou, D., Peña-Rodríguez, L. M., Katsarou, D., Field, B., Osbourn, A. E. & Papadopoulou, K. K. (2013). A metabolic gene cluster in Lotus japonicus discloses novel enzyme functions and products in triterpene biosynthesis. New Phytologist, 200(3), 675-90. https://doi.org/10.1111/nph.12414
Strathe, A. B., Mark, T., Jensen, J., Nielsen, B., Duy, D. N. & Kadarmideen, H. N. (2013). Random regression models for daily feed intake in Danish Duroc pigs. Abstract from The American Association for Laboratory Animal Science National Meeting, Minneapolis, United States.
Gustavsson, F., Buitenhuis, A. J., Bertelsen, H. P., Glantz, M., Lindmark Månsson, H., Stålhammar, H., Poulsen, N. A., Larsen, L. B., Bendixen, C., Andrén, A. & Paulsson, M. (2013). Effect of casein genetic variants and composition on casein micelle size in Swedish Red. Abstract from IDF World Dairy Summit 2013, Yokohama, Japan. http://www.wds2013.com/eng/
Gustavsson, F., Buitenhuis, A. J., Bertelsen, H. P., Glantz, M., Lindmark Månsson, H., Stålhammar, H., Poulsen, N. A., Larsen, L. B., Paulsson, M. & Andrén, A. (2013). Effect of casein genetic variants on rennet-induced gelation in Swedish Red. Abstract from IDF World Dairy Summit 2013, Yokohama, Japan. http://www.wds2013.com/eng/
Gustavsson, F., Gregersen, V. R., Buitenhuis, A. J., Bertelsen, H. P., Glantz, M., Stålhammar, H., Lindmark Månsson, H., Poulsen, N. A., Larsen, L. B., Bendixen, C., Fikse, F., Andrén, A. & Paulsson, M. (2013). Investigation of rennet coagulation properties in milk from Swedish Red cows using both traditional and modern milk genomics approaches. Abstract from 10th International Symposium for Milk Genomics and Human Health, UC Davis, Californien, United States. http://milkgenomics.org/10th-international-symposium-on-milk-genomics-and-human-health/
Hamzic, E., Bed'Hom, B., Juin, H., Hawken, R., Abrahamsen, M., Elsen, J.-M., Servin, B., Pinard-van der Laan, M.-H. & Demeure, O. (2013). Investigation of immune response to Eimeria maxima in broilers. Abstract from 8th European Symposium on Poultry Genetics, Venice, Italy.
Hamzic, E., Bed'Hom, B., Juin, H., Hawken, R., Abrahamsen, M., Elsen, J.-M., Servin, B., Pinard-van der Laan, M.-H. & Demeure, O. (2013). Investigation of immune response to Eimeria maxima in broilers. Poster session presented at 8th European Symposium on Poultry Genetics, Venice, Italy.
Sørensen, A. C., Lassen, J. & Hansen, B. K. (2013). Der er penge i at holde styr på dine dyrs afstamning. Dansk Pelsdyravl, 6, 30-31.