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Center for Kvantitativ Genetik og Genomforskning

Publikationer

Peer-reviewed publikationer ved QGG

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Karaman, E., Su, G., Croue, I. & Lund, M. S. (2020). Genomic prediction using data from multiple pure breeds and crossbreds. Abstract fra 71st Annual Meeting of European Federation of Animal Science.

Karaman, E., Su, G., Croue, I. & Lund, M. S. (2020). Genomic prediction using purebred and crossbred individuals. GenTORE Newsletter, (4), 13-16. https://www.gentore.eu/uploads/1/0/7/4/107437499/gentore_newsletter.pdf

Liu, A., Lund, M. S., Boichard, D., Mao, X., Karaman, E., Fritz, S., Aamand, G. P., Wang, Y. & Su, G. (2020). Imputation for sequencing variants preselected to a customized low-density chip. Scientific Reports, 10, Artikel 9524. https://doi.org/10.1038/s41598-020-66523-7

Zhang, Q., Cai, Z., Lhomme, M., Sahana, G., Lesnik, P., Guerin, M., Fredholm, M. & Karlskov-Mortensen, P. (2020). Inclusion of endophenotypes in a standard GWAS facilitate a detailed mechanistic understanding of genetic elements that control blood lipid levels. Scientific Reports, 10(1), Artikel 18434. https://doi.org/10.1038/s41598-020-75612-6

Morgante, F., Huang, W., Sørensen, P., Maltecca, C. & Mackay, T. F. C. (2020). Leveraging Multiple Layers of Data To Predict Drosophila Complex Traits. G3 (Bethesda, Md.), 10(12), 4599-4613. https://doi.org/10.1534/g3.120.401847

Czech, B., Guldbrandtsen, B. & Szyda, J. (2020). Patterns of DNA variation between the autosomes, the X chromosome and the Y chromosome in Bos taurus genome. Scientific Reports, 10(1), Artikel 13641. https://doi.org/10.1038/s41598-020-70380-9

Su, G., Höglund, J., Christensen, O. F. & Lund, M. S. (2020). Possibilities for genetic improvement of pig survival until slaughter. DCA - Nationalt Center for Fødevarer og Jordbrug.

Vestergaard, M., Spleth, P., Stephansen, R., Kargo, M., Ettema, J. F. & Fogh, A. (2020). Utilizing beef x dairy crossbreds for beef production – Danish experiences. I Book of Abstracts of the 71st Annual Meeting of the European Federation of Animal Science (Bind 26, s. 317). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-900-8

Li, J., Gao, H., Madsen, P., Li, R., Liu, W., Bao, P., Xue, G., Gao, Y., Di, X. & Su, G. (2020). Impact of the Order of Legendre Polynomials in Random Regression Model on Genetic Evaluation for Milk Yield in Dairy Cattle Population. Frontiers in Genetics, 11, Artikel 586155. https://doi.org/10.3389/fgene.2020.586155

Karaman, E., Su, G., Croue, I. & Lund, M. S. (2020). Genomic prediction using a multi-breed reference data of purebred and admixed populations. Abstract fra 6th International Conference of Quantitative Genetics, Brisbane, Australien.

Gautason, E. (2020). Incorporation of GWAS data on genomic prediction accuracies assessed in the small, unadmixed, unstructured population of Icelandic dairy cattle. Poster-session præsenteret på 6th International Conference of Quantitative Genetics, Brisbane, Australien.

Malinowska, M., Nagy, I., Wagemaker, C. A. M., Ruud, A. K., Svane, S. F., Thorup-Kristensen, K., Jensen, C. S., Eriksen, B., Krusell, L., Jahoor, A., Jensen, J., Eriksen, L. B. & Asp, T. (2020). The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth. The Plant Genome, 13(3), e20049. Artikel e20049. https://doi.org/10.1002/tpg2.20049

Guo, X., Sarup, P. M., Jensen, J. D., Jihad, O., Kristensen, N. H., Mulder, F. A. A., Jahoor, A. & Jensen, J. (2020). Genetic Variance of Metabolomic Features and Their Relationship With Malting Quality Traits in Spring Barley. Frontiers in Plant Science, 11, Artikel 575467. https://doi.org/10.3389/fpls.2020.575467

Poulsen, B. G., Ask, B., Nielsen, H. M., Ostersen, T. & Christensen, O. F. (2020). Prediction of genetic merit for growth rate in pigs using animal models with indirect genetic effects and genomic information. Genetics, selection, evolution : GSE, 52(1), Artikel 58. https://doi.org/10.1186/s12711-020-00578-y

Eydivandi, S., Sahana, G., Momen, M., Moradi, M. H. & Schönherz, A. A. (2020). Genetic diversity in Iranian indigenous sheep vis-à-vis selected exogenous sheep breeds and wild mouflon. Animal Genetics, 51(5), 772-787. https://doi.org/10.1111/age.12985

Esfandyari, H., Fè, D., Tessema, B. B., Janss, L. L. & Jensen, J. (2020). Effects of different strategies for exploiting genomic selection in perennial ryegrass breeding programs. G3: Genes, Genomes, Genetics, 10(10), 3783-3795. https://doi.org/10.1534/g3.120.401382

Dettmann, F., Warner, D., Buitenhuis, B., Kargo, M., Kjeldsen, A. M. H., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2020). Fatty Acid Profiles from Routine Milk Recording as a Decision Tool for Body Weight Change of Dairy Cows after Calving. Animals, 10(11), 1-14. Artikel 1958. https://doi.org/10.3390/ani10111958

Forte, F. P., Schmid, J., Dijkwel, P. P., Nagy, I., Hume, D. E., Johnson, R. D., Simpson, W. R., Monk, S. M., Zhang, N., Sehrish, T. & Asp, T. (2020). Fungal Endophyte Colonization Patterns Alter Over Time in the Novel Association Between Lolium perenne and Epichloë Endophyte AR37. Frontiers in Plant Science, 11, Artikel 570026. https://doi.org/10.3389/fpls.2020.570026

Manzanilla-Pech, C. I. V., Gordo, D., Difford, G. F., Løvendahl, P. & Lassen, J. (2020). Multitrait genomic prediction of methane emissions in Danish Holstein cattle. Journal of Dairy Science, 103(10), 9195-9206. https://doi.org/10.3168/jds.2019-17857

Madsen, M. D., Villumsen, T. M., Hansen, B. K., Møller, S. H., Jensen, J. & Shirali, M. (2020). Combined analysis of group recorded feed intake and individually recorded body weight and litter size in mink. Animal : an international journal of animal bioscience, 14(9), 1793-1801. https://doi.org/10.1017/S1751731120000762

Skovbjerg, C. K., Knudsen, J. N., Füchtbauer, W., Stougaard, J., Stoddard, F. L., Janss, L. & Andersen, S. U. (2020). Evaluation of yield, yield stability, and yield–protein relationship in 17 commercial faba bean cultivars. Legume Science, 2(3), Artikel e39. https://doi.org/10.1002/leg3.39

Su, G., Sørensen, A. C., Chu, T. T., Meier, K., Nielsen, T. & Lund, M. S. (2020). Impact of phenotypic information and composition of reference population on genomic prediction in fish under the presence of genotype by environment interaction. Aquaculture, 526, Artikel 735358. https://doi.org/10.1016/j.aquaculture.2020.735358

Gebreyesus, G., Sahana, G., Christian Sørensen, A., Lund, M. S. & Su, G. (2020). Novel approach to incorporate information about recessive lethal genes increases the accuracy of genomic prediction for mortality traits. Heredity, 125, 155-166. https://doi.org/10.1038/s41437-020-0329-5

Chu, T. T., Sørensen, A. C., Lund, M. S., Meier, K., Nielsen, T. & Su, G. (2020). Phenotypically Selective Genotyping Realizes More Genetic Gains in a Rainbow Trout Breeding Program in the Presence of Genotype-by-Environment Interactions. Frontiers in Genetics, 11, Artikel 866. https://doi.org/10.3389/fgene.2020.00866

Tausen, M., Clausen, M. M., Moeskjær, S., Shihavuddin, ASM., Dahl, A. B., Janss, L. & Andersen, S. U. (2020). Greenotyper: Image-based plant phenotyping using distributed computing and deep learning. Frontiers in Plant Science, 11, Artikel 1181. https://doi.org/10.3389/fpls.2020.01181

Zhang, Q., Difford, G., Sahana, G., Løvendahl, P., Lassen, J., Lund, M. S., Guldbrandtsen, B. & Janss, L. (2020). Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows. The ISME Journal, 14(8), 2019-2033. https://doi.org/10.1038/s41396-020-0663-x

Bjarup Hansen, P. (2020). Genetic Dissection and Prediction of Complex Traits in Barley and Festulolium Grasses. Århus Universitet.

Gan, Q. F., Li, Y. R., Liu, Q. H., Lund, M., Su, G. S. & Liang, X. W. (2020). Genome-wide association studies for the concentrations of insulin, triiodothyronine, and thyroxine in Chinese Holstein cattle. Tropical Animal Health and Production, 52(4), 1655-1660. https://doi.org/10.1007/s11250-019-02170-z

Cai, Z., Sarup, P., Ostersen, T., Nielsen, B., Fredholm, M., Karlskov-Mortensen, P., Sørensen, P., Jensen, J., Guldbrandtsen, B., Lund, M. S., Christensen, O. F. & Sahana, G. (2020). Genomic diversity revealed by whole-genome sequencing in three Danish commercial pig breeds. Journal of Animal Science, 98(7), Artikel 229. https://doi.org/10.1093/jas/skaa229

Guo, X., Svane, S. F., Füchtbauer, W. S., Andersen, J. R., Jensen, J. & Thorup-Kristensen, K. (2020). Genomic prediction of yield and root development in wheat under changing water availability. Plant Methods, 16, Artikel 90. https://doi.org/10.1186/s13007-020-00634-0

Slagboom, M., Hjortø, L., Sørensen, A. C., Mulder, H. A., Thomasen, J. R. & Kargo, M. (2020). Possibilities for a specific breeding program for organic dairy production. Journal of Dairy Science, 103(7), 6332-6345. https://doi.org/10.3168/jds.2019-16900

Gregersen, P. L., Asp, T. & Brinch-Pedersen, H., (2020). A scientific opinion on in vitro random mutagenesis techniques, Nr. 2020-0104556, 4 s., jun. 25, 2020.

Wang, L., Janss, L. L., Madsen, P., Henshall, J., Huang, C.-H., Marois, D., Alemu, S., Sørensen, A. C. & Jensen, J. (2020). Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices. Genetics, selection, evolution : GSE, 52(1), Artikel 31. https://doi.org/10.1186/s12711-020-00550-w

Kamal, N., Mun, T., Reid, D., Lin, J.-S., Akyol, T. Y., Sandal, N., Asp, T., Hirakawa, H., Stougaard, J., Mayer, K. F. X., Sato, S. & Andersen, S. U. (2020). Insights into the evolution of symbiosis gene copy number and distribution from a chromosome-scale Lotus japonicus Gifu genome sequence. D N A Research, 27(3), Artikel dsaa015. https://doi.org/10.1093/dnares/dsaa015

Poulsen, B. G., Nielsen, B., Ostersen, T. & Christensen, O. F. (2020). Genetic associations between stayability and longevity in commercial crossbred sows, and stayability in multiplier sows. Journal of Animal Science, 98(6), Artikel skaa183. https://doi.org/10.1093/jas/skaa183

Larsen, F., Guldbrandtsen, B., Christensen, D., Pitcovski, J., Kjærup, R. B. & Dalgaard, T. S. (2020). Pustulan activates chicken bone marrow-derived dendritic cells in vitro and promotes ex vivo CD4⁺ T cell recall response to infectious bronchitis virus. Vaccines, 8(2), Artikel 226. https://doi.org/10.3390/vaccines8020226

Cagnano, G., Vázquez-De-Aldana, B. R., Asp, T., Roulund, N., Jensen, C. S. & Soto-Barajas, M. C. (2020). Determination of loline alkaloids and mycelial biomass in endophyte-infected schedonorus pratensis by near-infrared spectroscopy and chemometrics. Microorganisms, 8(5), Artikel 776. https://doi.org/10.3390/microorganisms8050776

Wu, X., Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2020). Novel haplotypes responsible for prenatal death in Nordic Red and Danish Jersey cattle. Journal of Dairy Science, 103(5), 4570-4578. https://doi.org/10.3168/jds.2019-17831

Gebreyesus, G., Difford, G. F., Buitenhuis, B., Lassen, J., Noel, S. J., Højberg, O., Plichta, D. R., Zhu, Z., Poulsen, N. A., Sundekilde, U. K., Løvendahl, P. & Sahana, G. (2020). Predictive ability of host genetics and rumen microbiome for subclinical ketosis. Journal of Dairy Science, 103(5), 4557-4569. https://doi.org/10.3168/jds.2019-17824

Tsai, H.-Y., Cericola, F., Edriss, V., Andersen, J. R., Orabi, J., Jensen, J. D., Jahoor, A., Janss, L. & Jensen, J. (2020). Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data. PLOS ONE, 15(5), Artikel e0232665. https://doi.org/10.1371/journal.pone.0232665

Cai, Z., Dusza, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2020). Distinguishing pleiotropy from linked QTL between milk production traits and mastitis resistance in Nordic Holstein cattle. Genetics, selection, evolution : GSE, 52(1), Artikel 19. https://doi.org/10.1186/s12711-020-00538-6

Ba, H., Qin, T., Cai, Z., Liu, W. & Li, C. (2020). Molecular evidence for adaptive evolution of olfactory-related genes in cervids. Genes and Genomics, 42(4), 355-360. https://doi.org/10.1007/s13258-019-00911-w

Nielsen, H. M. & Kargo, M. (2020). An endangered horse breed can be conserved by using optimum contribution selection and preselection of stallions. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 127-130. https://doi.org/10.1080/09064702.2020.1728370

Gebregiwergis, G. T., Sørensen, A. C., Henryon, M. & Meuwissen, T. (2020). Controlling Coancestry and Thereby Future Inbreeding by Optimum-Contribution Selection Using Alternative Genomic-Relationship Matrices. Frontiers in Genetics, 11, Artikel 345. https://doi.org/10.3389/fgene.2020.00345

Karaman, E., Lund, M. S. & Su, G. (2020). Correction: Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome . Heredity, 124(4), 618. https://doi.org/10.1038/s41437-020-0299-7

Zaalberg, R. M., Buitenhuis, A. J., Sundekilde, U. K., Poulsen, N. A. & Bovenhuis, H. (2020). Genetic analysis of orotic acid predicted with Fourier transform infrared milk spectra. Journal of Dairy Science, 103(4), 3334-3348. https://doi.org/10.3168/jds.2018-16057

Cao, L., Liu, H., Mulder, H. A., Henryon, M., Thomasen, J. R., Kargo, M. & Sørensen, A. C. (2020). Genomic Breeding Programs Realize Larger Benefits by Cooperation in the Presence of Genotype × Environment Interaction Than Conventional Breeding Programs. Frontiers in Genetics, 11, Artikel 251. https://doi.org/10.3389/fgene.2020.00251

Poulsen, N. A., Szekeres, B. D., Kargo, M. & Larsen, L. B. (2020). Mineral and fatty acid composition of milk from native Jutland and Danish Red 1970 cattle breeds. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 131-135. https://doi.org/10.1080/09064702.2019.1674914

Schonherz, A. A., Szekeres, B. D., Nielsen, V. H. & Guldbrandtsen, B. (2020). Population structure and genetic characterization of two native Danish sheep breeds. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 53-67. https://doi.org/10.1080/09064702.2019.1639804

Rohde, P. D., Fourie Sørensen, I. & Sørensen, P. (2020). qgg: an R package for large-scale quantitative genetic analyses. Bioinformatics (Oxford, England), 36(8), 2614-2615. https://doi.org/10.1093/bioinformatics/btz955

Gautason, E., Schonherz, A. A., Sahana, G. & Guldbrandtsen, B. (2020). Relationship of Icelandic cattle with Northern and Western European cattle breeds, admixture and population structure. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 25-38. https://doi.org/10.1080/09064702.2019.1699951

Hutchings, N., Lærke, P. E., Munkholm, L. J., Elsgaard, L., Kristensen, T., Rasmussen, J., Lund, P., Børsting, C. F., Løvendahl, P., Mikkelsen, M. H., Albrektsen, R., Gyldenkærne, S., Møller, H. B., Hansen, M. J., Feilberg, A. & Adamsen, A. P. S., (2020). Opdatering af effekter og potentialer af klimavirkemidler til anvendelse i landbrug, Nr. 2019-0035910, 23 s., mar. 02, 2020.

Chu, T. T., Madsen, P., Norberg, E., Wang, L., Marois, D., Henshall, J. & Jensen, J. (2020). Genetic analysis on body weight at different ages in broiler chicken raised in commercial environment. Journal of Animal Breeding and Genetics (Online), 137(2), 245-259. https://doi.org/10.1111/jbg.12448

Davis, R. B., Norberg, E. & Fogh, A. (2020). Estimation of genetic parameters for young stock survival in beef x dairy crossbred calves. Animal, 14(3), 445-451. Artikel 1751731119002386. https://doi.org/10.1017/S1751731119002386

Guldbrandtsen, B., Nielsen, V. H. & Schönherz, A. A. (2020). Genomic assessment of suitability of pigs for inclusion in the Pied Danish Pig conservation program – A case study. Acta Agriculturae Scandinavica, Section A - Animal Science, 69(1-2), 95-100. https://doi.org/10.1080/09064702.2020.1732455

Poulsen, N. A., Hein, L., Kargo, M. & Buitenhuis, A. J. (2020). Realization of breeding values for milk fatty acids in relation to seasonal variation in organic milk. Journal of Dairy Science, 103(3), 2434-2441. https://doi.org/10.3168/jds.2019-17065

Ask, B., Christensen, O. F., Heidaritabar, M., Madsen, P. & Nielsen, H. M. (2020). The predictive ability of indirect genetic models is reduced when culled animals are omitted from the data. Genetics, selection, evolution : GSE, 52(1), Artikel 8. https://doi.org/10.1186/s12711-020-0527-x

Karaman, E., Lund, M. S. & Su, G. (2020). Multi-trait single-step genomic prediction accounting for heterogeneous (co)variances over the genome. Heredity, 124(2), 274-287. https://doi.org/10.1038/s41437-019-0273-4

Thomasen, J. R., Liu, H. & Sørensen, A. C. (2020). Genotyping more cows increases genetic gain and reduces rate of true inbreeding in a dairy cattle breeding scheme using female reproductive technologies. Journal of Dairy Science, 103(1), 597-606. https://doi.org/10.3168/jds.2019-16974

Liu, A., Lund, M. S., Boichard, D. A., Karaman, E., Fritz, S., Aamand, G. P., Nielsen, U. S., Wang, Y. & Su, G. (2020). Improvement of genomic prediction by integrating additional single nucleotide polymorphisms selected from imputed whole genome sequencing data. Heredity, 124(1), 37-49. https://doi.org/10.1038/s41437-019-0246-7

Hozé, C., Escouflaire, C., Mesbah-Uddin, M., Barbat, A., Boussaha, M., Deloche, M.-C., Boichard, D., Fritz, S. & Capitan, A. (2020). Short communication: A splice site mutation in CENPU is associated with recessive embryonic lethality in Holstein cattle. Journal of Dairy Science, 103(1), 607-612. https://doi.org/10.3168/jds.2019-17056

Jensen, J. (2020). Carrying the torch of the Journal of Animal Breeding and Genetics forward. Journal of Animal Breeding and Genetics, 137(1), 1-2. https://doi.org/10.1111/jbg.12462

Islam, M. S., Jensen, J., Løvendahl, P., Karlskov-Mortensen, P. & Shirali, M. (2020). Bayesian estimation of genetic variance and response to selection on linear or ratio traits of feed efficiency in dairy cattle. Journal of Dairy Science, 103(10), 9150-9166. https://doi.org/10.3168/jds.2019-17137

Macedo, F. L., Christensen, O. F., Astruc, J.-M., Aguilar, I., Masuda, Y. & Legarra, A. (2020). Bias and accuracy of dairy sheep evaluations using BLUP and SSGBLUP with metafounders and unknown parent groups. Genetics, selection, evolution : GSE, 52(1), Artikel 47. https://doi.org/10.1186/s12711-020-00567-1

Difford, G. F., Løvendahl, P., Veerkamp, R. F., Bovenhuis, H., Visker, M. H. P. W., Lassen, J. & de Haas, Y. (2020). Can greenhouse gases in breath be used to genetically improve feed efficiency of dairy cows? Journal of Dairy Science, 103(3), 2442-2459. https://doi.org/10.3168/jds.2019-16966

Wang, X., Su, G., Hao, D., Lund, M. S. & Kadarmideen, H. N. (2020). Comparisons of improved genomic predictions generated by different imputation methods for genotyping by sequencing data in livestock populations. Journal of Animal Science and Biotechnology, 11(1), Artikel 3. https://doi.org/10.1186/s40104-019-0407-9

Cui, X., Zhang, S., Zhang, Q., Guo, X., Wu, C., Yao, M. & Sun, D. (2020). Comprehensive MicroRNA Expression Profile of the Mammary Gland in Lactating Dairy Cows With Extremely Different Milk Protein and Fat Percentages. Frontiers in Genetics, 11, Artikel 548268. https://doi.org/10.3389/fgene.2020.548268

Christensen, O. F., Nielsen, B., Su, G., Xiang, T., Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2020). Correction to: A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs. Genetics, selection, evolution : GSE, 52(1), Artikel 23. https://doi.org/10.1186/s12711-020-00541-x

Zaalberg, R. M., Bovenhuis, H., Poulsen, N. A., Larsen, L. B., Sehested, J. & Buitenhuis, A. J. (2020). Genetic analysis on minerals predicted with Fourier transform infrared milk spectra for two Danish dairy cattle breeds. Abstract fra 71st Annual Meeting of European Federation of Animal Science. https://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-900-8

Christensen, O. F., Börner, V., Varona, L. & Legarra, A. (2020). Genetic evaluation including an intermediate omics trait. Abstract fra 71st Annual Meeting of European Federation of Animal Science. https://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-900-8

Manzanilla Pech, C. I. V., Mansan Gordo, D. G., Løvendahl, P. & Lassen, J. (2020). Genome wide association study of methane traits in Danish Holstein. Abstract fra 6th International Conference of Quantitative Genetics, Brisbane, Australien. https://icqg6.org/wp-content/uploads/2020/11/ICQG6_2020_Abstract_Book.pdf

Zaalberg, R. M., Janss, L. & Buitenhuis, A. J. (2020). Genome-wide association study on Fourier transform infrared milk spectra for two Danish dairy cattle breeds. BMC Genetics, 21(1), Artikel 9. https://doi.org/10.1186/s12863-020-0810-4

Tsai, H.-Y., Janss, L. L., Andersen, J. R., Orabi, J., Jensen, J. D., Jahoor, A. & Jensen, J. (2020). Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat. Scientific Reports, 10(1), Artikel 3347. https://doi.org/10.1038/s41598-020-60203-2

Eiriksson, J. H., Karaman, E., Su, G. & Christensen, O. F. (2020). Genomic prediction for crossbred cows by combining marker effects estimated in purebreds. Abstract fra 71st Annual Meeting of European Federation of Animal Science. https://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-900-8

Ankamah-Yeboah, T., Janss, L. L., Jensen, J. D., Hjortshøj, R. L. & Rasmussen, S. K. (2020). Genomic Selection Using Pedigree and Marker-by-Environment Interaction for Barley Seed Quality Traits From Two Commercial Breeding Programs. Frontiers in Plant Science, 11, Artikel 539. https://doi.org/10.3389/fpls.2020.00539

Liu, T., Luo, C., Ma, J., Wang, Y., Shu, D., Su, G. & Qu, H. (2020). High-Throughput Sequencing With the Preselection of Markers Is a Good Alternative to SNP Chips for Genomic Prediction in Broilers. Frontiers in Genetics, 11, Artikel 108. https://doi.org/10.3389/fgene.2020.00108

Bordbar, F., Jensen, J., Du, M., Abied, A., Guo, W., Xu, L., Gao, H., Zhang, L. & Li, J. (2020). Identification and validation of a novel candidate gene regulating net meat weight in Simmental beef cattle based on imputed next-generation sequencing. Cell Proliferation, 53(9), Artikel e12870. https://doi.org/10.1111/cpr.12870

Raffo, M. A., Sarup, P. M., Guo, X., Liu, H. & Jensen, J. (2020). Improvement of Genomic Prediction by Including Additive-by-Additive Epistasis. A Case of Study in Advanced Wheat-Breeding Lines. Abstract fra The 6th International Conference of Quantitative Genetics.

Rome, H. J. S., Marois, D., Huang, C.-H. & Jensen, J. (2020). Modeling maternal effects in later traits in broilers. Abstract fra 71st Annual Meeting of European Federation of Animal Science.

Schonherz, A. A., Bødker, J. S., Schmitz, A., Brøndum, R. F., Jakobsen, L. H., Roug, A. S., Severinsen, M. T., El-Galaly, T. C., Jensen, P., Johnsen, H. E., Bøgsted, M. & Dybkær, K. (2020). Normal myeloid progenitor cell subsetassociated gene signatures for acute myeloid leukaemia subtyping with prognostic impact. PLOS ONE, 15(4), Artikel e0229593. https://doi.org/10.1371/journal.pone.0229593

Mesbah-Uddin, M., Guldbrandtsen, B., Capitan, A., Lund, M. S., Boichard, D. & Sahana, G. (2020). Strategy to imputation of large genomic deletions and utilizing them in mapping and genomic prediction in cattle. Abstract fra 6th International Conference of Quantitative Genetics, Brisbane, Australien. https://icqg6.org/wp-content/uploads/2020/11/ICQG6_2020_Abstract_Book.pdf

Zhang, Y., Ran, Y., Nagy, I., Lenk, I., Qiu, J. L., Asp, T., Jensen, C. S. & Gao, C. (2020). Targeted mutagenesis in ryegrass (Lolium spp.) using the CRISPR/Cas9 system. Plant Biotechnology Journal, 18(9), 1854-1856. https://doi.org/10.1111/pbi.13359

Sarup, P., Guo, X., Nielsen, N., Jensen, J. D., Mulder, F., Jihad, O., Edriss, V., Jahoor, A. & Jensen, J. (2020). Using NMR metabolomics in breeding for malt quality in spring barley. Abstract fra International Symposium of the Society for Plant Breeding (GPZ), Tulln, Østrig. https://gpz2020.boku.ac.at/wp-content/uploads/2020/03/06_Sarup.pdf

Liu, A., Lund, M. S., Boichard, D., Karaman, E., Guldbrandtsen, B., Fritz, S., Aamand, G. P., Nielsen, U. S., Sahana, G., Wang, Y. & Su, G. (2020). Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses. Genetics Selection Evolution, 52(1), Artikel 48. https://doi.org/10.1186/s12711-020-00568-0

Gao, H., Madsen, P., Aamand, G. P., Thomasen, J. R., Sørensen, A. C. & Jensen, J. (2019). Bias in estimates of variance components in populations undergoing genomic selection: a simulation study. BMC Genomics, 20(1), Artikel 956. https://doi.org/10.1186/s12864-019-6323-8

Mebratie, W., Reyer, H., Wimmers, K., Bovenhuis, H. & Jensen, J. (2019). Genome wide association study of body weight and feed efficiency traits in a commercial broiler chicken population, a re-visitation. Scientific Reports, 9, Artikel 922. https://doi.org/10.1038/s41598-018-37216-z

Malik, P. L., Janss, L., Nielsen, L. K., Borum, F., Jørgensen, H., Eriksen, B., Schjoerring, J. K. & Rasmussen, S. K. (2019). Breeding for dual-purpose wheat varieties using marker–trait associations for biomass yield and quality traits. Theoretical and Applied Genetics, 132(12), 3375-3398. https://doi.org/10.1007/s00122-019-03431-z

Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019). Combining multi-population datasets for joint genome-wide association and meta-analyses: The case of bovine milk fat composition traits. Journal of Dairy Science, 102(12), 11124-11141. https://doi.org/10.3168/jds.2019-16676

Gan, Q. F., Li, Y. R., Lund, M., Su, G. S. & Liang, X. W. (2019). Genome-wide association study identifies loci linked to serum electrolyte traits in Chinese Holstein cattle. Animal Genetics, 50(6), 744-748. https://doi.org/10.1111/age.12851

Wu, X., Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Haplotypes responsible for early embryonic lethality detected in Nordic Holsteins. Journal of Dairy Science, 102(12), 11116-11123. https://doi.org/10.3168/jds.2019-16651

Mesbah-Uddin, M., Guldbrandtsen, B., Lund, M. S., Boichard, D. & Sahana, G. (2019). Joint imputation of whole-genome sequence variants and large chromosomal deletions in cattle. Journal of Dairy Science, 102(12), 11193-11206. https://doi.org/10.3168/jds.2019-16946

Alexandre, P., Porto-Neto, L., Karaman, E., Lehnert, S. & Reverter, A. (2019). Pooled genotyping strategies for the rapid construction of genomic reference populations. Journal of Animal Science, 97(12), 4761– 4769. https://doi.org/10.1093/jas/skz344

Chu, T. T., Bastiaansen, J. W. M., Berg, P. & Komen, H. (2019). Optimized grouping to increase accuracy of prediction of breeding values based on group records in genomic selection breeding programs. Genetics Selection Evolution, 51(1), Artikel 64. https://doi.org/10.1186/s12711-019-0509-z

Poulsen, N. A., Buitenhuis, A. J., Johansen, M. & Larsen, L. B. (2019). Sustainable dairy production and its exploitation into healthy dairy products. Abstract and oral presentation. Abstract fra 16th Symposium on Milk Genomics and Human Health, Aarhus, Danmark.

Chu, T. T., Bastiaansen, J. W. M., Berg, P., Romé, H., Marois, D., Henshall, J. & Jensen, J. (2019). Correction to: Use of genomic information to exploit genotype-by-environment interactions for body weight of broiler chicken in bio-secure and production environments. Genetics Selection Evolution, 51(1), Artikel 68. https://doi.org/10.1186/s12711-019-0513-3

Olijhoek, D., Hellwing, A. L. F., Grevsen, K., Haveman, L., Chowdhury, M. R., Løvendahl, P., Weisbjerg, M. R., Noel, S. J., Hojberg, O., Wiking, L. & Lund, P. (2019). Effect of dried oregano (Origanum vulgare L.) plant material in feed on methane production, rumen fermentation, nutrient digestibility, and milk fatty acid composition in dairy cows. Journal of Dairy Science, 102(11), 9902–9918. https://doi.org/10.3168/jds.2019-16329

Rohde, P. D., Jensen, I. R., Sarup, P. M., Ørsted, M., Demontis, D., Sørensen, P. & Kristensen, T. N. (2019). Genetic Signatures of Drug Response Variability in Drosophila melanogaster. Genetics (Print), 213(2), 633-650. https://doi.org/10.1534/genetics.119.302381

Larsen, F. T., Bed'hom, B., Guldbrandtsen, B. & Dalgaard, T. S. (2019). Identification and tissue-expression profiling of novel chicken c-type lectin-like domain containing proteins as potential targets for carbohydrate-based vaccine strategies. Molecular Immunology, 114(October), 216-225. https://doi.org/10.1016/j.molimm.2019.07.022

Bordbar, F., Jensen, J., Zhu, B., Wang, Z., Xu, L., Chang, T., Xu, L., Du, M., Zhang, L., Gao, H., Xu, L. & Li, J. (2019). Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing. PLOS ONE, 14(10), Artikel e0223671. https://doi.org/10.1371/journal.pone.0223671

Aliakbari, A., Ehsani, A., Vaez Torshizi, R., Løvendahl, P., Esfandyari, H., Jensen, J. & Sarup, P. (2019). Genetic variance of metabolomic features and their relationship with body weight and body weight gain in Holstein cattle. Journal of Animal Science, 97(9), 3832-3844. https://doi.org/10.1093/jas/skz228

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Jette Odgaard Villemoes