Publikationer

Peer-reviewed publikationer ved QGG

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

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

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

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

Madsen, P., Milkevych, V., Gao, H., Christensen, O. F. & Jensen, J. (2018). DMU - A Package for Analyzing Multivariate Mixed Models in Quantitative Genetics and Genomics. Poster-session præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Cao, L. (2018). Effect of G×E on Breeding Cooperation Using Genomic Selection. Abstract fra 12th World Conference on Animal Production (WCAP) & 2018 ASAS-CSAS Annual Meeting, Vancouver, Britisk Columbia, Canada.

Slagboom, M., Mulder, H. A., Sørensen, A. C., Hjortø, L., Thomasen, J. R. & Kargo, M. (2018). Effects of specific breeding lines for organic dairy production in Denmark. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

Su, G., Madsen, P., Nielsen, B., Ostersen, T., Shirali, M., Jensen, J. & Christensen, O. F. (2018). Efficiency of group records for prediction of breeding values. I Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Methods and Tools - Prediction 3 (s. 1-6). Artikel 11.565 WCGALP. http://www.wcgalp.org/proceedings/2018/efficiency-group-records-prediction-breeding-values

Milkevych, V., Madsen, P., Gao, H. & Jensen, J. (2018). Efficient block-Gibbs sampling in variance component estimation for predictions which combine phenotypic and genomic information. 468. Abstract fra ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

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

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), Artikel 42. https://doi.org/10.1186/s12711-018-0413-y

Gao, H., Madsen, P., Aamand, G. & Jensen, J. (2018). Estimation of variance components in populations under genomic selection. Afhandling præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Christensen, O. F., Kongsted, H. & Lund, M. S., (2018). Evaluering af avl for LG5, Nr. 2018-760-000656, 35 s., jun. 01, 2018.

Boichard, D. A., Boussaha, M., Capitan, A., Rocha, D., Hoze, C., Sanchez, M.-P., Tribout, T., Letaief, R., Croiseau, P., Grohs, C., Li, W., Harland, C., Charlier, C., Lund, M. S., Sahana, G., Georges, M., Barbier, S., Coppieters, W., Fritz, S. & Guldbrandtsen, B. (2018). Experience from large scale use of the EuroGenomics custom SNP chip in cattle. I Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Molecular Genetics 4 (Bind 11). Artikel 11.675 http://www.wcgalp.org/proceedings/2018/experience-large-scale-use-eurogenomics-custom-snp-chip-cattle

Zhang, Q. (2018). Exploiting whole genome sequence variants in cattle breeding Unraveling the distribution of genetic variants and role of rare variants in genomic evaluation: Unraveling the distribution of genetic variants and role of rare variants in genomic evaluation.

Marete, A. G., Janss, L., Guldbrandtsen, B., Hoze, C., Sahana, G., Boichard, D. A. & Lund, M. S. (2018). Exploring non-additive variance using genome-wide dense SNP in four French and Nordic dairy cattle breeds. I Proceedings of the World Congress on Genetics Applied to Livestock Production Artikel 70

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

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

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), Artikel 513. https://doi.org/10.1186/s12859-018-2553-z

Zaalberg, R. M., Shetty, N., Janss, L. & Buitenhuis, A. J. (2018). Genetic analysis of Fourier transform infrared milk spectra for Danish Holstein and Danish Jersey. 302. Abstract fra The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

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

Yan, X., Liu, A., Dong, G., Guo, G., Li, X., Su, G. & Wang, Y. (2018). Genetic analysis of productive life in Chinese Holstein population. Abstract fra 5th International Conference on Quantitative Genetics, Madison, USA.

Zhang, H., Xu, W., Li, X., Luo, H., Liu, A. & Wang, Y. (2018). Genetic analysis of skinfold thickness and its association with body condition score, and milk production traits in Chinese Holstein population. Abstract fra ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Gajjar, S. G., Guldbrandtsen, B., Nayee, N. G., Sudhakar, A., Trivedi, K. R., Lund, M. S. & Sahana, G. (2018). Genetic composition, divergence, admixture and use of ancestry informative markers in indigenous breeds of cattle in India. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Species Conservation Artikel 585 http://www.wcgalp.org/archive?f%5Bauthor%5D=14045

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

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

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

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

Poulsen, N. A., Le, T. T. T., Gregersen, V. R., Christensen, B. S., Sørensen, E. S., Larsen, L. B. & Buitenhuis, A. J. (2018). Genetic parameter estimation of high value milk proteins and whey to casein ratio in Danish Holstein. I Proceedings of the 11th World Congress on Genetics Applied to Livestock Production (WCGALP), Auckland, New Zealand Artikel 312

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

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

Madsen, M. D., Madsen, P., Nielsen, B. J., Kristensen, T. N., Jensen, J. & Shirali, M. (2018). Genetic variance in macro-environmental sensitivity in growth rate in Danish Duroc pigs. Poster-session præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

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

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, Artikel 69. https://doi.org/10.3389/fpls.2018.00069

Liu, A., Wang, Y., Lund, M. S. & Su, G. (2018). Genome-wide association study for female fertility traits in Chinese Holstein population. Abstract fra 5th International Conference on Quantitative Genetics, Madison, USA.

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

Luo, H., Xu, W., Liu, A., Li, X., Liu, L. & Wang, Y. (2018). Genome-wide association study for rectal temperature in Chinese Holstein population. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 Artikel 587 http://www.wcgalp.org/system/files/proceedings/2018/genome-wide-association-study-rectal-temperature-chinese-holstein-population.pdf

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), Artikel 141. https://doi.org/10.3389/fgene.2018.00141

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2018). Genome-wide association study of the de novo synthesized milk fatty acids based on Dutch, Danish and Chinese Holstein Friesians. 141. Abstract fra The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

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

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), Artikel 58. https://doi.org/10.1186/s12711-018-0422-x

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

Rohde, P. D., Sørensen, I. F. & Sørensen, P. (2018). Genomic Feature Prediction Models - Improved Prediction Accuracy by Joint Marker Estimation. Poster-session præsenteret på ESHG 2018: European Society of Human Genetics, Milano, Italien.

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

Nayee, N. K., Su, G., Gajjar, S. G., Sahana, G., Saha, S., Trivedi, K. R., Guldbrandtsen, B. & Lund, M. S. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. Poster-session præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Nayee, N. K., Su, G., Gajjar, S., Sahana, G., Saha, S., Trivedi, K. R., Guldbrandtsen, B. & Lund, M. S. (2018). Genomic prediction by single-step genomic BLUP using cow reference population in Holstein crossbred cattle in India. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Theory to Application - 1 (Bind 11). Artikel 11.411 http://www.wcgalp.org/proceedings/2018/genomic-prediction-single-step-genomic-blup-using-cow-reference-population-holstein

Su, G., Mansan Gordo, D. G., Li, B., Aamand, G., Lund, M. S. & Lassen, J. (2018). Genomic prediction for dry matter intake in Nordic Holsteins. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018 (Bind Volume Electronic Poster Session - Methods and Tools - Prediction 2). Artikel 474 WCGALP. http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-dry-matter-intake-nordic-holsteins.pdf

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, Artikel 1165. https://doi.org/10.3389/fpls.2018.01165

Anche, M. T., Su, G., Karaman, E., Janss, L. & Lund, M. S. (2018). Genomic prediction using multi-trait model with heterogeneous genomic (co)variance. I Proceedings of the World Congress on Genetics Applied to Livestock, 2018 (Bind Volume Methods and Tools - Models and Computing Strategies 2, s. 1-6). Artikel 284 http://www.wcgalp.org/system/files/proceedings/2018/genomic-prediction-using-multi-trait-model-heterogeneous-genomic-covariance.pdf

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

Villumsen, T. M., Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G. & Lund, M. S. (2018). Genomic selection in mink yield higher accuracies with a Bayesian approach allowing for heterogeneous variance than a GBLUP model. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Artikel 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing

Ankamah-Yeboah, T., Janss, L., Hjortshøj, R. L. & Rasmussen, S. K. (2018). Genomic Selection in Winter Barley: A comparison of One-Step and Two-Step Approach. Abstract fra Plant Biology Europe 2018, Copenhagen, Danmark.

Guldbrandtsen, B., Cai, Z., Sahana, G., Villumsen, T. M., Asp, T., Thomsen, B. & Lund, M. S. (2018). Genomics using the Assembly of the Mink Genome. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 1 Artikel 539 http://www.wcgalp.org/proceedings/2018/genomics-using-assembly-mink-genome

Liu, A., Kargo, M., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y. & Su, G. (2018). Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins. Afhandling præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. Poster-session præsenteret på The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Genotype call for chromosomal deletions using read-depth from whole genome sequence variants in cattle. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Electronic Poster Session - Molecular Genetics 3 (Bind 11). Artikel 662 http://www.wcgalp.org/proceedings/2018/genotype-call-chromosomal-deletions-using-read-depth-whole-genome-sequence-variants

Nielsen, B. J., Gao, H., Ostersen, T., Su, G., Jensen, J., Madsen, P. & Shirali, M. (2018). Group recordings accounted for drop out animals. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

Poulsen, N. A., C. Robinson, R., Buitenhuis, A. J., Sundekilde, U. K., Lemay, D. G., Barile, D., Larsen, L. B. & Holm, L.-E. (2018). GWAS and expression of candidate genes for oligosaccharide synthesis in Danish dairy breeds. Abstract fra 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, USA.

Sarup, P. M., Jensen, J., Ostersen, T., Christensen, O. F. & Sørensen, P. (2018). H1 NMR metabolomic phenotypic prediction of growth in pigs. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

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), Artikel 10316. https://doi.org/10.1038/s41598-018-28718-x

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. Artikel e1007580. https://doi.org/10.1371/journal.pgen.1007580

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

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), Artikel 035. https://www.clinmedjournals.org/articles/jggr/journal-of-genetics-and-genome-research-jggr-5-035.pdf?jid=jggr

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), Artikel 62. https://doi.org/10.1186/s12711-018-0432-8

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

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

Thomasen, J. R., Lassen, J., Gunner Brink Nielsen, G., Borggard, C., Bolvig Stentebjerg, P. R., Hjort Hansen, R., Worsøe Hansen, N. & Borchersen, S. (2018). Individual cow identification in a commercial herd using 3D camera technology. Abstract fra ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand. http://www.wcgalp.org/proceedings/2018/individual-cow-identification-commercial-herd-using-3d-camera-technology

Chu, T. T., Madsen, P., Wang, L., Henshall, J., Hawken, R. & Jensen, J. (2018). Influence of age on variance components for bodyweight in commercial male and female broiler chicken. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

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), Artikel e00436-18. https://doi.org/10.1128/JVI.00436-18

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

Shetty, N., Janss, L., Zaalberg, R. M., Kargo, M. & Buitenhuis, A. J. (2018). Lactation stage dependent genome-wide association mapping for longitudinal data of milk fatty acids in dairy cattle using Bayesian mixture models. 321. Abstract fra The 11th World Congress on Genetics Applied to Livestock Production , Auckland, New Zealand.

Demirovic, D., Buitenhuis, A. J., Poulsen, N. A., Munk, A. & Kargo, M. (2018). Large scale screening of the Danish dairy cattle population for their milk fatty acid profile. Poster-session præsenteret på IDF World Dairy Summit 2018, Daejeon, Sydkorea.

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

Vagndorf, N. J., Kristensen, P. S., Andersen, J. R., Jahoor, A. & Orabi, J. (2018). Marker-assisted plant breeding in wheat. I Y. O. Çiftçi (red.), Next Generation Plant Breeding (s. 107). InTechOpen. https://doi.org/10.5772/intechopen.74724

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

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

Difford, G. F., Løvendahl, P., Lassen, J., Guldbrandtsen, B. & Sahana, G. (2018). Microbiability – new insights into (genetic) modelling methane emissions of cattle. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Challenges - Environmental (Bind 11). Artikel 405 http://www.wcgalp.org/proceedings/2018/microbiability%E2%80%93-new-insights-genetic-modelling-methane-emissions-cattle

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), Artikel 9345. https://doi.org/10.1038/s41598-018-27729-y

Poulsen, N. A., Buitenhuis, A. J., Le, T. T. T., Gregersen, V. R., Lindahl, I. E. I., Christensen, B. S., Sørensen, E. S. & Larsen, L. B. (2018). Milk Genomics: Variation in Danish Dairy milk and its possible exploitation in the dairy chain. Abstract fra 15th International Symposium on Milk Genomics and Human Health, Sacramento, California, USA.

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

Shirali, M., Nielsen, B. J., Ostersen, T., Christensen, O. F., Madsen, P., Su, G. & Jensen, J. (2018). Modelling of grouped recorded data for different population structures in pig breeding. Abstract fra 69th Annual Meeting of the European Federation of Animal Science EAAP 2018, Dubrovnik, Kroatien.

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

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

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

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

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, Artikel 369. https://doi.org/10.3389/fpls.2018.00369

Kargo, M., Thomasen, J. R., Wallenbeck, A., Hjortø, L. & Slagboom, M. (2018). Organic dairy breeding lines? – Possibilities and Requirements. Afhandling præsenteret på ICAR Conference and World Congress on Genetics Applied to Livestock Production 2018, Auckland, New Zealand.

Larsen, M., Buitenhuis, A. J., Hedemann, M. S. & Sehested, J. (2018). Prediction of individual dairy cow performance using LC-MS metabolome spectra. I R. Baumont, M. Silberberg & I. Cassar-Malek (red.), Proceedings of the 10th International Symposium on the Nutrition of Herbivores (Bind 9). Artikel 623 Cambridge University Press.

Rovere, G. A., Madsen, P., Christiansen, K., Holm, M. & Lund, M. S. (2018). Prevalence and genetic variability of osteochondrosis in Danish Warmblood horses. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 11.929 http://www.wcgalp.org/system/files/proceedings/2018/prevalence-and-genetic-variability-osteochondrosis-danish-warmblood-horses.pdf

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), Artikel 656. https://doi.org/10.1186/s12864-018-5050-x

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

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), Artikel 111. https://doi.org/10.1186/s12863-018-0698-4

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

Villumsen, T. M., Thirstrup, J. P., Lund, M. S. & Malmkvist, J. (2018). Selektion for mere tillidsfulde mink medfører ikke tilbagegang for størrelse, kvalitet og frugtbarhed. I Faglig årsberetning 2017: Kopenhagen Fur Research Annual Report 2017 (s. 16-21) https://issuu.com/kopenhagenfur/docs/289208__rsberetning_2017

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

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

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

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

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), Artikel 103. https://doi.org/10.1186/s12863-018-0688-6

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