Publications

Peer-reviewed publications at QGG

2018

Book anthology

Zetouni, L. (2018). Opportunities to select for low methane emitting dairy cattle.

Rohde, P. D. (2018). Dissecting the genetic variation of schizophrenia and ADHD using an integrative genomic approach.

Marete, A. G. (2018). Use of large scale cow genotyping to dissect dairy complex traits beyond additive effects.

Liu, A. (2018). Improvement of genetic evaluation and detection of quantitative trait loci for female fertility traits in dairy cattle.

Li, B. (2018). Genetic properties of feed efficiency and related traits in dairy cattle.

Gebreyesus, G. (2018). Fine mapping and genomic prediction for detailed milk composition. Aarhus University, Faculty of Science and Technology.

Difford, G. (2018). Genetic control of methane emission, feed efficiency and metagenomics in dairy cattle.

Olesen, J. E., Petersen, S. O., Lund, P., Jørgensen, U., Kristensen, T., Elsgaard, L., Sørensen, P. & Lassen, J. (2018). Virkemidler til reduktion af klimagasser i landbruget. DCA - Nationalt Center for Fødevarer og Jordbrug,. DCA rapport No. 130 http://web.agrsci.dk/djfpublikation/index.asp?action=show&id=1273

2018

Contribution to journal

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Retraction Note: Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle ( Reference: BMC Genetics (2018) 19:30 DOI: 10.1186/s12863-018-0620-0). BMC Genetics, 19(1), Article 111. https://doi.org/10.1186/s12863-018-0698-4

Zhu, Z., Kristensen, L., Difford, G. F., Poulsen, M., Noel, S. J., Abu Al-Soud, W., Sørensen, S. J., Lassen, J., Løvendahl, P. & Højberg, O. (2018). Changes in rumen bacterial and archaeal communities over the transition period in primiparous Holstein dairy cows. Journal of Dairy Science, 101(11), 9847-9862. https://doi.org/10.3168/jds.2017-14366

Zhang, Z., Zhang, Q., Xiao, Q., Sun, H., Gao, H., Yang, Y., Chen, J., Li, Z., Xue, M., Ma, P., Yang, H., Xu, N., Wang, Q. & Pan, Y. (2018). Distribution of runs of homozygosity in Chinese and Western pig breeds evaluated by reduced-representation sequencing data. Animal Genetics, 49(6), 579-591. https://doi.org/10.1111/age.12730

Zhang, Q., Calus, M., Bosse, M., Sahana, G., Lund, M. S. & Guldbrandtsen, B. (2018). Human-Mediated Introgression of Haplotypes in a Modern Dairy Cattle Breed. Genetics, 209(4), 1305-1317. https://doi.org/10.1534/genetics.118.301143

Zhang, Q., Sahana, G., Su, G., Guldbrandtsen, B., Lund, M. S. & Calus, M. P. L. (2018). Impact of rare and low-frequency sequence variants on reliability of genomic prediction in dairy cattle. Genetics Selection Evolution, 50(1), Article 62. https://doi.org/10.1186/s12711-018-0432-8

Zetouni, L., Kargo, M., Norberg, E. & Lassen, J. (2018). Genetic correlations between methane production and fertility, health and body type traits in Danish Holstein cows. Journal of Dairy Science, 101(3), 2273-2280. https://doi.org/10.3168/jds.2017-13402

Zetouni, L., Difford, G. F., Lassen, J., Byskov, M. V., Norberg, E. & Løvendahl, P. (2018). Is rumination time an indicator of methane production in dairy cows? Journal of Dairy Science, 101(12), 11074-11085. https://doi.org/10.3168/jds.2017-14280

Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2018). Genomic model with correlation between additive and dominance effects. Genetics, 209(3), 711-723. https://doi.org/10.1534/genetics.118.301015

Welderufael, B. G., Løvendahl, P., De Koning, D.-J., Janss, L. & Fikse, F. (2018). Genome-wide association study for susceptibility to and recoverability from mastitis in Danish Holstein cows. Frontiers in Genetics, 9(APR), Article 141. https://doi.org/10.3389/fgene.2018.00141

Wang, X., Gao, H., G. Gebremedhin, K., Schmidt Bjerg, B., Van Os, J., Tucker, C. B. & Zhang, G. (2018). A predictive model of equivalent temperature index for dairy cattle (ETIC). Journal of Thermal Biology, 76, 165-170. https://doi.org/10.1016/j.jtherbio.2018.07.013

Vestergaard, H. T., Thomsen, M. K., Nielsen, L. & Panum, I. (2018). Diagnostik af kongenit cytomegalovirusinfektion i Danmark. Ugeskrift for Læger, 180(50).

Sverrisdóttir, E., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L., Bryan, G. & Nielsen, K. L. (2018). The value of expanding the training population to improve genomic selection models in tetraploid potato. Frontiers in Plant Science, 9, Article 1118. https://doi.org/10.3389/fpls.2018.01118

Su, G., Madsen, P., Nielsen, B., Ostersen, T., Shirali, M., Jensen, J. & Christensen, O. F. (2018). Estimation of variance components and prediction of breeding values based on group records from varying group sizes. Genetics Selection Evolution, 50(1), Article 42. https://doi.org/10.1186/s12711-018-0413-y

Stephansen, R. S., Fogh, A. & Norberg, E. (2018). Genetic parameters for handling and milking temperament in Danish first-parity Holstein cows. Journal of Dairy Science, 101(12), 11033-11039. https://doi.org/10.3168/jds.2018-14804

Sorg, D., Difford, G. F., Mühlbach, S., Kuhla, B., Swalve, H. H., Lassen, J., Strabel, T. & Pszczola, M. (2018). Comparison of a laser methane detector with the GreenFeed and two breath analysers for on-farm measurements of methane emissions from dairy cows. Computers and Electronics in Agriculture, 153, 285-294. https://doi.org/10.1016/j.compag.2018.08.024

Song, H., Li, L., Ma, P., Zhang, S., Su, G., Lund, M. S., Zhang, Q. & Ding, X. (2018). Short communication: Improving the accuracy of genomic prediction of body conformation traits in Chinese Holsteins using markers derived from high-density marker panels. Journal of Dairy Science, 101(6), 5250-5254. https://doi.org/10.3168/jds.2017-13456

Slagboom, M., Wallenbeck, A., Hjortø, L., Sørensen, A. C., Rydhmer, L., Thomasen, J. R. & Kargo, M. (2018). Simulating consequences of choosing a breeding goal for organic dairy production. Journal of Dairy Science, 101(12), 11086-11096. https://doi.org/10.3168/jds.2017-14316

Skjerve, T. A., Grova, L., Sorheim, L. K., Slagboom, M., Eriksson, S., Kargo, M. & Wallenbeck, A. (2018). Norwegian dairy farmers' preferences for breeding goal traits and associations with herd and farm characteristics. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(3), 117-123. https://doi.org/10.1080/09064702.2019.1627406

Shirali, M., Varley, P. F. & Jensen, J. (2018). Bayesian estimation of direct and correlated responses to selection on linear or ratio expressions of feed efficiency in pigs. Genetics Selection Evolution, 50(1), Article 33. https://doi.org/10.1186/s12711-018-0403-0

Schönherz, A. A., Forsberg, R., Guldbrandtsen, B., Buitenhuis, A. J. & Einer-Jensen, K. (2018). Introduction of Viral Hemorrhagic Septicemia Virus into Freshwater Cultured Rainbow Trout Is Followed by Bursts of Adaptive Evolution. Journal of Virology, 92(12), Article e00436-18. https://doi.org/10.1128/JVI.00436-18, https://doi.org/10.1128/JVI.00436-18

Salleh, S. M., Mazzoni, G., Løvendahl, P. & Kadarmideen, H. N. (2018). Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency. BMC Bioinformatics, 19(1), Article 513. https://doi.org/10.1186/s12859-018-2553-z

Salleh, S. M., Mazzoni, G., Nielsen, M. O., Løvendahl, P. & Kadarmideen, H. (2018). Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics. Journal of Genetics and Genome Research, 5(1), Article 035. https://www.clinmedjournals.org/articles/jggr/journal-of-genetics-and-genome-research-jggr-5-035.pdf?jid=jggr

Rohde, P. D., Østergaard, S., Kristensen, T. N., Sørensen, P., Loeschcke, V., F C Mackay, T. & Sarup, P. M. (2018). Functional validation of candidate genes detected by genomic feature models. G3: Genes, Genomes, Genetics (Bethesda), 8(5), 1659-1668. https://doi.org/10.1534/g3.118.200082

Pitkänen, T. J., Mäntysaari, E. A., Nielsen, U. S., Aamand, G. P., Madsen, P., Eriksson, J. & Lidauer, M. H. (2018). Incorporation of observations with different residual error variances into existing complex test-day models. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 11-24. https://doi.org/10.1080/09064702.2018.1541361

Ørsted, M., Rohde, P. D., Hoffmann, A. A., Sørensen, P. & Kristensen, T. N. (2018). Environmental variation partitioned into separate heritable components. Evolution, 72(1), 136-152. https://doi.org/10.1111/evo.13391

Olijhoek, D. W., Løvendahl, P., Lassen, J., Hellwing, A. L. F., Höglund, J. K., Weisbjerg, M. R., Noel, S. J., McLean, F., Højberg, O. & Lund, P. (2018). Methane production, rumen fermentation, and diet digestibility of Holstein and Jersey dairy cows being divergent in residual feed intake and fed at 2 forage-to-concentrate ratios. Journal of Dairy Science, 101(11), 9926-9940. https://doi.org/10.3168/jds.2017-14278

Nielsen, H. M., Ask, B. & Madsen, P. (2018). Social genetic effects for growth in pigs differ between boars and gilts. Genetics Selection Evolution, 50(1), Article 4. https://doi.org/10.1186/s12711-018-0375-0

Nayee, N., Sahana, G., Gajjar, S., Sudhakar, A., Trivedi, K., Lund, M. S. & Guldbrandtsen, B. (2018). Suitability of existing commercial single nucleotide polymorphism chips for genomic studies in Bos indicus cattle breeds and their Bos taurus crosses. Journal of Animal Breeding and Genetics (Online), 135(6), 432-441. https://doi.org/10.1111/jbg.12356

Mukherjee, A., Mukherjee, S., Dhakal, R., Mech, M., Longkumer, I., Haque, N., Vupru, K., Khate, K., Jamir, I. Y., Pongen, P., Rajkhowa, C., Mitra, A., Guldbrandtsen, B. & Sahana, G. (2018). High-density Genotyping reveals Genomic Characterization, Population Structure and Genetic Diversity of Indian Mithun (Bos frontalis). Scientific Reports, 8(1), Article 10316. https://doi.org/10.1038/s41598-018-28718-x

Milkevych, V., Munkholm, L. J., Chen, Y. & Nyord, T. (2018). Modelling approach for soil displacement in tillage using discrete element method. Soil & Tillage Research, 183(November), 60-71. https://doi.org/10.1016/j.still.2018.05.017

Mesbah-Uddin, M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., De Koning, D.-J., Boichard, D., Lund, M. S. & Sahana, G. (2018). Genome-wide mapping of large deletions and their population-genetic properties in dairy cattle. D N A Research, 25(1), 49-59. https://doi.org/10.1093/dnares/dsx037

Mebratie, W., Madsen, P., Hawken, R. & Jensen, J. (2018). Multi-trait estimation of genetic parameters for body weight in a commercial broiler chicken population. Livestock Science, 217, 15-18. https://doi.org/10.1016/j.livsci.2018.09.007

Mathiesen, C. B. K., Carlsson, M. C., Brand, S., Möller, S. R., Idorn, M., Thor Straten, P., Pedersen, A. E., Dabelsteen, S., Halim, A., Würtzen, P. A., Brimnes, J., Ipsen, H., Petersen, B. L. & Wandall, H. H. (2018). Genetically engineered cell factories produce glycoengineered vaccines that target antigen-presenting cells and reduce antigen-specific T-cell reactivity. The Journal of allergy and clinical immunology, 142(6), 1983-1987. https://doi.org/10.1016/j.jaci.2018.07.030

Marete, A. G., Guldbrandtsen, B., Lund, M. S., Fritz, S., Sahana, G. & Boichard, D. (2018). A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations. Frontiers in Genetics, 9, Article 522. https://doi.org/10.3389/fgene.2018.00522

Marete, A. G., Lund, M. S., Boichard, D. A. & Ramayo-Caldas, Y. (2018). A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds. PLOS ONE, 13(7), Article e0199931. https://doi.org/10.1371/journal.pone.0199931

Marete, A. G., Sahana, G., Fritz, S., Lefebvre, R., Barbat, A., Lund, M. S., Guldbrandtsen, B. & Boichard, D. (2018). Genome-wide association study for milking speed in French Holstein cows. Journal of Dairy Science, 101(7), 6205-6219. https://doi.org/10.3168/jds.2017-14067

Madsen, M. D., Madsen, P., Nielsen, B., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Macro-environmental sensitivity for growth rate in Danish Duroc pigs is under genetic control. Journal of Animal Science, 96(12), 4967-4977. https://doi.org/10.1093/jas/sky376

Ma, X., Li, P. H., Zhu, M. X., He, L. C., Sui, S. P., Gao, S., Su, G. S., Ding, N. S., Huang, Y., Lu, Z. Q., Huang, X. G. & Huang, R. H. (2018). Genome-wide association analysis reveals genomic regions on Chromosome 13 affecting litter size and candidate genes for uterine horn length in Erhualian pigs. Animal, 12(12), 2453-2461. https://doi.org/10.1017/S1751731118000332

Ma, P., Huang, J., Gong, W., Li, X., Gao, H., Zhang, Q., Ding, X. & Wang, C. (2018). The impact of genomic relatedness between populations on the genomic estimated breeding values. Journal of Animal Science and Biotechnology, 9(1), Article 64. https://doi.org/10.1186/s40104-018-0279-4

Løvendahl, P., Difford, G. F., Li, B., Chagunda, M. G. G., Huhtanen, P., Lidauer, M. H., Lassen, J. & Lund, P. (2018). Review: Selecting for improved feed efficiency and reduced methane emissions in dairy cattle. Animal, 12(S2), 336-349. https://doi.org/10.1017/S1751731118002276

López-Correa, R. D., Peñagaricano, F., Rovere, G. & Urioste, J. I. (2018). Genetic parameter estimation for long endurance trials in the Uruguayan Criollo horse. Journal of Animal Breeding and Genetics, 135(3), 186-193. https://doi.org/10.1111/jbg.12324

Li, B., Fikse, F., Løvendahl, P., Lassen, J., Lidauer, M., Mäntysaari, P. & Berglund, B. (2018). Genetic heterogeneity of feed intake, energy-corrected milk, and body weight across lactation in primiparous Holstein, Nordic Red, and Jersey cows. Journal of Dairy Science, 101(11), 10011-10021. https://doi.org/10.3168/jds.2018-14611

Kristensen, P. S., Jahoor, A., Andersen, J. R., Cericola, F., Orabi, J., Janss, L. L. & Jensen, J. (2018). Genome-wide association studies and comparison of models and cross-validation strategies for genomic prediction of quality traits in advanced winter wheat breeding lines. Frontiers in Plant Science, 9, Article 69. https://doi.org/10.3389/fpls.2018.00069

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2018). Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome. G3: Genes, Genomes, Genetics (Bethesda), 8(11), 3549-3558. https://doi.org/10.1534/g3.118.200673

Jardim, J. G., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Association analysis for udder index and milking speed with imputed whole-genome sequence variants in Nordic Holstein cattle. Journal of Dairy Science, 101(3), 2199-2212. https://doi.org/10.3168/jds.2017-12982

Hein, L., Sørensen, L. P., Kargo, M. & Buitenhuis, A. J. (2018). Genetic analysis of predicted fatty acid profiles of milk from Danish Holstein and Danish Jersey cattle populations. Journal of Dairy Science, 101(3), 2148-2157. https://doi.org/10.3168/jds.2017-13225

Guo, X., Cericola, F., Fè, D., Pedersen, M. G., Lenk, I., Jensen, C. S., Jensen, J. & Janss, L. L. (2018). Genomic prediction in tetraploid ryegrass using allele frequencies based on genotyping by sequencing. Frontiers in Plant Science, 9, Article 1165. https://doi.org/10.3389/fpls.2018.01165

Gao, H., Koivula, M., Jensen, J., Strandén, I., Madsen, P., Pitkänen, T., Aamand, G. P. & Mäntysaari, E. A. (2018). Short communication: Genomic prediction using different single-step methods in the Finnish red dairy cattle population. Journal of Dairy Science, 101(11), 10082-10088. https://doi.org/10.3168/jds.2018-14913

Gao, H., Madsen, P., Pösö, J., Aamand, G. P., Lidauer, M. & Jensen, J. (2018). Short communication: Multivariate outlier detection for routine Nordic dairy cattle genetic evaluation in the Nordic Holstein and Red population. Journal of Dairy Science, 101(12), 11159-11164. https://doi.org/10.3168/jds.2018-15123

Fang, L., Sørensen, P., Sahana, G., Panitz, F., Su, G., Zhang, S., Yu, Y., Li, B., Ma, L., Liu, G., Lund, M. S. & Thomsen, B. (2018). MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle. Scientific Reports, 8(1), Article 9345. https://doi.org/10.1038/s41598-018-27729-y

Ettema, J. F., Kudahl, A. B., Børsting, C. F. & Østergaard, S. (2018). Tørkeråd: Køb grovfoder i stedet for at slagte dyr. KvægNYT, 23, 2-2. https://www.landbrugsinfo.dk/kvaeg/kvaegnyt/sider/startside.aspx

Esfandyari, H., Berg, P. & Sørensen, A. C. (2018). Balanced selection on purebred and crossbred performance increases gain in crossbreds. Genetics Selection Evolution, 50(1), Article 8. https://doi.org/10.1186/s12711-018-0379-9

Difford, G. F., Plichta, D. R., Løvendahl, P., Lassen, J., Noel, S. J., Højberg, O., Wright, A.-D. G., Zhu, Z., Kristensen, L., Nielsen, H. B., Guldbrandtsen, B. & Sahana, G. (2018). Host genetics and the rumen microbiome jointly associate with methane emissions in dairy cows. PLOS Genetics, 14(10), e1007580. Article e1007580. https://doi.org/10.1371/journal.pgen.1007580

Difford, G. F., Olijhoek, D. W., Hellwing, A. L. F., Lund, P., Bjerring, M. A., de Haas, Y., Lassen, J. & Løvendahl, P. (2018). Ranking cows’ methane emissions under commercial conditions with sniffers versus respiration chambers. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 25-32. https://doi.org/10.1080/09064702.2019.1572784

Cuyabano, B. C. D., Sørensen, A. C. & Sørensen, P. (2018). Understanding the potential bias of variance components estimators when using genomic models. Genetics Selection Evolution, 50(1), Article 41. https://doi.org/10.1186/s12711-018-0411-0

Colli, L., Milanesi, M., Talenti, A., Bertolini, F., Chen, M., Crisà, A., Daly, K. G., Del Corvo, M., Guldbrandtsen, B., Lenstra, J. A., Rosen, B. D., Vajana, E., Catillo, G., Joost, S., Nicolazzi, E. L., Rochat, E., Rothschild, M. F., Servin, B., Sonstegard, T. S. ... The ADAPTMAP consortium (Vivi Hunnicke Nielsen; member) (2018). Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes. Genetics Selection Evolution, 50(1), Article 58. https://doi.org/10.1186/s12711-018-0422-x

Chu, T. T., Alemu, S. W., Norberg, E., Sørensen, A. C., Henshall, J., Hawken, R. & Jensen, J. (2018). Benefits of testing in both bio-secure and production environments in genomic selection breeding programs for commercial broiler chicken. Genetics Selection Evolution, 50(1), Article 52. https://doi.org/10.1186/s12711-018-0430-x

Chu, T. T., Bastiaansen, J. WM., Norberg, E. & Berg, P. (2018). On farm observations to increase genetic gain in breeding schemes for village poultry production – A simulation study. Acta Agriculturae Scandinavica, Section A - Animal Science, 68(1), 1-10. https://doi.org/10.1080/09064702.2018.1543444

Cericola, F., Lenk, I., Fè, D., Byrne, S., Jensen, C. S., Pedersen, M. G., Asp, T., Jensen, J. & Janss, L. (2018). Optimized Use of Low-Depth Genotyping-by-Sequencing for Genomic Prediction among multi-parental Family Pools and Single Plants in Perennial Ryegrass (Lolium perenne L.). Frontiers in Plant Science, 9, Article 369. https://doi.org/10.3389/fpls.2018.00369

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle. BMC Genomics, 19(1), Article 656. https://doi.org/10.1186/s12864-018-5050-x

Cai, Z., Villumsen, T. M., Asp, T., Guldbrandtsen, B., Sahana, G. & Lund, M. S. (2018). SNP markers associated with body size and pelt length in American mink (Neovison vison). BMC Genetics, 19(1), Article 103. https://doi.org/10.1186/s12863-018-0688-6

Bouwman, A. C., Daetwyler, H. D., Chamberlain, A. J., Ponce, C. H., Sargolzaei, M., Schenkel, F. S., Sahana, G., Govignon-Gion, A., Boitard, S., Dolezal, M., Pausch, H., Brøndum, R. F., Bowman, P. J., Thomsen, B., Guldbrandtsen, B., Lund, M. S., Servin, B., Garrick, D. J., Reecy, J. ... Hayes, B. J. (2018). Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. Nature Genetics, 50(3), 362-372. https://doi.org/10.1038/s41588-018-0056-5

Bertolini, F., Servin, B., Talenti, A., Rochat, E., Kim, E. S., Oget, C., Palhière, I., Crisà, A., Catillo, G., Steri, R., Amills, M., Colli, L., Marras, G., Milanesi, M., Nicolazzi, E., Rosen, B. D., Van Tassell, C. P., Guldbrandtsen, B., Sonstegard, T. S. ... The ADAPTMAP consortium (Vivi Hunnicke Nielsen; member) (2018). Signatures of selection and environmental adaptation across the goat genome post-domestication. Genetics Selection Evolution, 50, 57. https://doi.org/10.1186/s12711-018-0421-y

Begli, H. E., Torshizi, R. V., Masoudi, A. A., Ehsani, A. & Jensen, J. (2018). Genomic dissection and prediction of feed intake and residual feed intake traits using a longitudinal model in F2 chickens. Animal, 12(9), 1792-1798. https://doi.org/10.1017/S1751731117003354

2017

Other contribution

Kargo, M. (2017, Jan 12). Koens gener kan afgøre mælkens sundhed. http://dca.au.dk/aktuelt/nyheder/vis/artikel/koens-gener-kan-afgoere-maelkens-sundhed/

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

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/

2017

Guldbrandtsen, B., (2017). Bestemmelse af tilhørsforhold af dyr til Sortbroget Landsvin, 27. april 2017, No. 2017-760-000193, 8 p., Apr 26, 2017.

Fogsgaard, K. K., Munksgaard, L. & Norberg, E., (2017). Redegørelse vedrørende kupering af lammehaler – smertepåvirkning, No. 2017-760-000196, 4 p., Dec 14, 2017.

2017

Contribution to conference

Kargo, M. (2017). Fedtsyremålinger på enkeltkøer - potentiale og perspektiver. Paper presented at Kvægkongres 2017, Herning, Denmark. http://orgprints.org/31276/

Younesi, N., Shariati, M., Zerehdaran, S., Noghabi, M. J. & Løvendahl, P. (2017). Quantile regression mixed model at different milk production levels of Iranian Holsteins. Abstract from EAAP, Tallin, Estonia.

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 from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Thomasen, J. R., Liu, H. & Sørensen, A. C. (2017). Pedigree inbreeding underestimate true inbreeding in genomic dairy cattle breeding schemes. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Su, G. (2017). Application of traditional and modern methods to improve accuracy of genetic selection. Invited speech.. Abstract from The 1st CM Swine Summit, Suzhou, China.

Slagboom, M., Wallenbeck, A., Hjortø, L., Sørensen, A. C., Thomasen, J. R. & Kargo, M. (2017). Simulating consequences of choosing a breeding goal for organic dairy cattle production. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Shetty, N., Difford, G., Lassen, J., Løvendahl, P. & Buitenhuis, A. J. (2017). Feasibility of FT-IR-milk spectra to predict methane emissions in danish lactating dairy cows. 199. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Stenholt Hansen, M., Christensen, B., Buitenhuis, A. J., Sørensen, E. S. & Larsen, L. B. (2017). Absolute quantification of individual milk proteins with ingredient potential. Abstract from 10th NIZO Dairy Conference , Papendal, Netherlands.

Poulsen, N. A., Hein, L., Gregersen, S. B., Sørensen, L. P., Larsen, L. B., Kargo, M. & Buitenhuis, A. J. (2017). Detailed milk fatty acid profiling of the Danish dairy cattle population. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Poulsen, N. A., Buitenhuis, A. J., C. Robinson, R., Barile, D. & Larsen, L. B. (2017). Genetic parameter estimation for bovine milk oligosaccharides in Danish dairy breeds. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Poulsen, N. A., Buitenhuis, A. J., C. Robinson, R., Barile, D. & Larsen, L. B. (2017). Genetic parameter estimation of bovine milk oligosaccharides in Danish dairy breeds. Abstract from Conference on milk composistion, functional genomics and health aspects, Larkollen, Norway.

Persson, J., Lauritsen, U., Hansen, L. F. & Løvendahl, P. (2017). Test day milk yield and composition records are affected by deviations in milking intervals in overly simplified recording schemes. Abstract from ICAR 2017, United Kingdom. http://www.icar.org/Documents/Puerto%20Varas%202016%20Abstracts/files/TS/TS%205/RDY/ICAR%202016%20TS-5.%20Test%20day%20milk%20yield%20and%20composition%20records_Persson_Lauritsen_Fast_Lovendahl.pdf

Miglior, F., Baes, C. B., Canovas, A., Coffey, M., Connor, E. E., De Pauw, M., Gredler, B., Goddard, E., Hailu, G., Lassen, J., Amer, P., Osborne, V., Pryce, J., Sargolzaei, M., Schenkel, F. S., Wall, E., Wang, Z., Wright, T. & Stothard, P. (2017). The efficient dairy genome project: environmental stewardship through genomic selection. 376. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Løvendahl, P., Lauritsen, U., Hansen, L. F., Persson, J. & Sarup, P. M. (2017). Genetic assessment of intra-individual animal variation in milking order of Jersey cows. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Løvendahl, P. & Weisbjerg, M. R. (2017). Lactose in milk - How can lactose concentration data be beneficial in management and breeding?. 99-104. Abstract from ICAR 2017, Edinburgh, United Kingdom.

Larsen, M., Hellwing, A. L. F., Larsen, T., Løvendahl, P., Sehested, J. & Weisbjerg, M. R. (2017). Creatinine in milk as biomarker for muscle protein mobilisation in postpartum cows. 407. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Hjortø, L., Thomasen, J. R., Berg, P., Kargo, M., Henryon, M., Liu, H. & Sørensen, A. C. (2017). Managing lethal alleles using genomic optimum contribution selection. Abstract from EAAP, Tallin, Estonia.

Hinrichs, D., Calus, M., De Koning, D.-J., Bennewitz, J., Meuwissen, T., Thaller, G., Szyda, J., Tetens, J., Juskiene, V. & Guldbrandtsen, B. (2017). Biodiversity within and between European Red dairy breeds - conversation though utilization. Abstract from EAAP, Tallin, Estonia.

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 from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

Gregersen, V. R., Sørensen, E. S., S. Christiansen, B., Buitenhuis, A. J., Poulsen, N. A., Holm, L.-E., Stenholt Hansen, M., Larsen, L. B. & Thomsen, B. (2017). Osteopontin and its relation to transcription of the major milk proteins. Abstract from 14th International Symposium on Milk Genomics and Human Health, Québec City, Canada.

Gebregiwergis, G. T., Meuwissen, T. H. E., Sørensen, A. C. & Henryon, M. (2017). Alternative genomic relationship matrices in genomic optimum optimun contribution selection. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia. http://www.dairycareaction.org/uploads/2/4/2/6/24266896/eaap2017_book_of_abstracts_-_preliminary_pages.pdf

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

Difford, G., de Haas, Y., Visker, M. H. P. W., Lassen, J., Bovenhuis, H., Veerkamp, R. F. & Løvendahl, P. (2017). Do breath gas measurements hold the key to unlocking the genetics of feed efficiency in dairy cows?. 184. Abstract from 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estonia.

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Jette Odgaard Villemoes