Publikationer

Peer-reviewed publikationer ved QGG

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

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

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

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

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.

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

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

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

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

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.

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

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

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

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

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

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

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

Tessema, B. B., Liu, H., Sørensen, A. C., Andersen, J. R. & Jensen, J. (2020). Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat. Frontiers in Genetics, 11, Artikel 578123. https://doi.org/10.3389/fgene.2020.578123

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

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

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

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

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

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

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

Harwood, S. L., Nielsen, N. S., Jensen, K. T., Nielsen, P. K., Thøgersen, I. B. & Enghild, J. J. (2020). α₂-macroglobulin-like protein 1 can conjugate and inhibit proteases through their hydroxyl groups, because of an enhanced reactivity of its thiol ester. Journal of Biological Chemistry, 295(49), 16732-16742. https://doi.org/10.1074/jbc.RA120.015694

Christensen, O. F., Nielsen, B., Su, G., Xiang, T., Madsen, P., Ostersen, T., Velander, I. & Strathe, A. B. (2019). A bivariate genomic model with additive, dominance and inbreeding depression effects for sire line and three-way crossbred pigs. Genetics Selection Evolution, 51(1), Artikel 45. https://doi.org/10.1186/s12711-019-0486-2

Nielsen, H. M. & Kargo, M. (2019). A conservation plan for the Danish Jutland horse. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Liu, H., Tessema, B. B., Jensen, J., Cericola, F., Andersen, J. R. & Sørensen, A. C. (2019). ADAM-Plant: A Software for Stochastic Simulations of Plant Breeding From Molecular to Phenotypic Level and From Simple Selection to Complex Speed Breeding Programs. Frontiers in Plant Science, 9, 1926. Artikel 1926. https://doi.org/10.3389/fpls.2018.01926

Poulsen, N. A., Robinson, R. C., Barile, D., Larsen, L. B. & Buitenhuis, B. (2019). A genome-wide association study reveals specific transferases as candidate loci for bovine milk oligosaccharides synthesis. BMC Genomics, 20, Artikel 404. https://doi.org/10.1186/s12864-019-5786-y

Mesbah-Uddin, M., Hoze, C., Michot, P., Barbat, A., Lefebvre, R., Boussaha, M., Sahana, G., Fritz, S., Boichard, D. & Capitan, A. (2019). A missense mutation (p.Tyr452Cys) in the CAD gene compromises reproductive success in French Normande cattle. Journal of Dairy Science, 102(7), 6340-6356. https://doi.org/10.3168/jds.2018-16100

Iso-Touru, T., Wurmser, C., Venhoranta, H., Hiltpold, M., Savolainen, T., Sironen, A., Fischer, K., Flisikowski, K., Fries, R., Vicente-Carrillo, A., Alvarez-Rodriguez, M., Nagy, S., Mutikainen, M., Peippo, J., Taponen, J., Sahana, G., Guldbrandtsen, B., Simonen, H., Rodriguez-Martinez, H. ... Pausch, H. (2019). A splice donor variant in CCDC189 is associated with asthenospermia in Nordic Red dairy cattle. BMC Genomics, 20(1), Artikel 286. https://doi.org/10.1186/s12864-019-5628-y

Fan, H., Hou, Y., Sahana, G., Gao, H., Zhu, C., Du, L., Zhao, F. & Wang, L. (2019). A Transcriptomic Study of the Tail Fat Deposition in Two Types of Hulun Buir Sheep According to Tail Size and Sex. Animals, 9(9), Artikel 655. https://doi.org/10.3390/ani9090655

Kargo, M. (2019). Avl. I T. Kristensen, J. O. Lehmann & L. Mogensen (red.), Fremtidens helhedsorienterede og balancerede kvægproduktion - visioner og udfordringer for malkekvægsbedriften frem mod år 2040 (Bind 146, s. 52-64).

Chu, T. T., Norberg, E., Henshall, J. & Jensen, J. (2019). Benefits of using genomic information for broiler breeding program in presence of GxE interactions. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

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

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

Clasen, J. B., Lehmann, J. O., Thomasen, J. R., Østergaard, S. & Kargo, M. (2019). Combining extended lactation with sexed semen in a dairy cattle herd: Effect on genetic and total economic return. Livestock Science, 223, 176-183. https://doi.org/10.1016/j.livsci.2019.03.001

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

Garnsworthy, P. C., Difford, G. F., Bell, M. J., Bayat, A. R., Huhtanen, P., Kuhla, B., Lassen, J., Peiren, N., Pszczola, M., Sorg, D., Visker, M. H. P. W. & Yan, T. (2019). Comparison of methods to measure methane for use in genetic evaluation of dairy cattle. Animals, 9(10), Artikel 837. https://doi.org/10.3390/ani9100837

Clasen, J., Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2019). Consequences of crossbreeding, genotyping, and use of sexed semen and beef semen on genetic merit and profitability in Swedish dairy herds. 292-293. Abstract fra ADSA Annual Meeting 2019, Cincinnati, Ohio, USA. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

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

Wang, X., Gao, H., Gebremedhin, K. G., Bjerg, B. S., Van Os, J., Tucker, C. B. & Zhang, G. (2019). Corrigendum to “A predictive model of equivalent temperature index for dairy cattle (ETIC)” [J. Therm. Biol. (2018) 165–170]. Journal of Thermal Biology, 82, 252-253. https://doi.org/10.1016/j.jtherbio.2018.12.012

Schmidtmann, C., Kargo, M., Ettema, J. F., Hinrichs, D. & Thaller, G. (2019). Derivation of economic values for German dairy breeds. 609-609. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Warner, D., Dettmann, F., Buitenhuis, A. J., Kargo, M., Hostrup Kjeldsen, A. M., Nielsen, N. H., Lefebvre, D. M. & Santschi, D. E. (2019). Development of a prediction equation for body weight change in early-lactating dairy cows by Fourier-transform infrared predicted fatty acid profiles in milk. Journal of Dairy Science, 102(Supplement 1), 109-110. Artikel 95. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

Clasen, J. B., Fogh, A. & Kargo, M. (2019). Differences between performance of F1 crossbreds and Holsteins at different production levels. Journal of Dairy Science, 102(1), 436-441. https://doi.org/10.3168/jds.2018-14975

Ruud, A. K., Malinowska, M., Bjarup Hansen, P., Svane, S. F., Eriksen, L. B., Fè, D., Jensen, C. S., Greve, M., Thorup-Kristensen, K., Nagy, I. & Asp, T. (2019). Differential gene expression and multi-omic analysis of drought stress in Lolium perenne. 287. Abstract fra EGF-EUCARPIA Symposium, Grassland Science in Europe, Zurich, Schweiz. https://www.europeangrassland.org/fileadmin/documents/Infos/Printed_Matter/Proceedings/EGF2019.pdf

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle. BMC Genetics, 20, Artikel 15. https://doi.org/10.1186/s12863-019-0717-0

Clasen, J., Kargo, M., Østergaard, S., Fikse, W. F., Rydhmer, L. & Strandberg, E. (2019). Effect of crossbreeding and using new techniques on genetic merit and economy in Swedish dairy herds. 285-285. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

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

Vargas-Beloo-Pérez, E., Dhakal, R., Kargo, M., Buitenhuis, A. J. & Poulsen, N. A. (2019). Effect of feeding managements on the milk concentrations of short- and medium-chain fatty acids. Abstract fra 70th Annual Meeting of the European Federation of Animal Science (EAAP), Ghent, Belgien.

Steenfeldt, S., Sørensen, P. & Nielsen, B. L. (2019). Effects of choice feeding and lower ambient temperature on feed intake, growth, foot health, and panting of fast- and slow-growing broiler strains. Poultry Science, 98(2), 503-513. https://doi.org/10.3382/ps/pey323

Lee, A., Krawczel, P., Ternman, E. M., Schneider, L., Løvendahl, P. & Munksgaard, L. (2019). Effects of mean occupation rate on hourly automatic milking system use and total milk production in Holstein cows. Journal of Dairy Science, 102(Suppl. 1), 250-250. Artikel 262. https://www.adsa.org/Portals/0/SiteContent/Docs/Meetings/2019ADSA/2019ADSA_Abstract_Book.pdf?v20190715

Szalanski, M., Kristensen, T., Difford, G., Lassen, J., Buitenhuis, A. J., Pszczola, M. & Løvendahl, P. (2019). Enteric methane emission from Jersey cows during the spring transition from indoor feeding to grazing. Journal of Dairy Science, 102(7), 6319-6329. https://doi.org/10.3168/jds.2018-15984

Malinowska, M., Nagy, I., Ruud, A. K., Bjarup Hansen, P., Svane, S. F., Wagemaker, C. A. M., Krusell, L., Eriksen, B., Jahoor, A., Jensen, J. D., Fè, D., Lenk, I., Greve, M., Eriksen, L. B., Thorup-Kristensen, K., Jensen, C. S. & Asp, T. (2019). Epigenetics of drought responses in spring barley and perennial ryegrass. Abstract fra The Plant and Animal Genome XXVII Conference (PAG) 2019, San Diego, USA.

Guo, X., Jensen, J. & Janss, L. (2019). Estimating epistasis in cereals for genomic prediction of unobserved crosses in a half diallel experiment. Abstract fra The Plant and Animal Genome XXVII Conference (PAG) 2019, San Diego, USA. https://pag.confex.com/pag/xxvii/meetingapp.cgi/Paper/34819

Lee, A., Krawczel, P., Ternman, E. M., Schneider, L., Løvendahl, P. & Munksgaard, L. (2019). Evaluating the effects of mean occupation rate and milk production on two automatic milking systems. I R. C. Newberry & B. O. Braastad (red.), Proceedings of the 53rd Congress of the ISAE: Animal Lives Worth Living (s. 302-302). Wageningen Academic Publishers. https://www.applied-ethology.org/ISAE_Meetings.html

Lee, A. R., Krawczel, P., Ternman, E. M., Schneider, L. G., Løvendahl, P. & Munksgaard, L. (2019). Evaluating the effects of mean stocking density on automatic milking system use and total milk production in Holstein cows. I Proceedings of the 2nd International Precision Dairy Farming Conference (s. 71-72)

Olijhoek, D., Løvendahl, P., Hellwing, A. L. F., Weisbjerg, M. R. & Lund, P. (2019). Feed sorting of low and high concentrate diets by Holstein and Jersey dairy cows. 199. Abstract fra British Society of Animal Science conference 2019, Edinburgh, Storbritannien.

Knorst, V., Yates, S., Byrne, S., Asp, T., Widmer, F., Studer, B. & Kölliker, R. (2019). First assembly of the gene-space of Lolium multiflorum and comparison to other Poaceae genomes. Grassland Science, 65(2), 125-134. https://doi.org/10.1111/grs.12225

Sahana, G. (2019). Genes for disease resistance in cattle – lessons learned from genome-wide association studies. 81-82. Abstract fra XIV Agricultural Science Congress, New Delhi, Indien.

Zaalberg, R. M., Shetty, N., Janss, L. & Buitenhuis, A. J. (2019). Genetic analysis of Fourier transform infrared milk spectra in Danish Holstein and Danish Jersey. Journal of Dairy Science, 102(1), 503-510. https://doi.org/10.3168/jds.2018-14464

Zhang, H., Liu, A., Li, X., Xu, W., Shi, R., Luo, H., Su, G., Dong, G., Guo, G. & Wang, Y. (2019). Genetic analysis of skinfold thickness and its association with body condition score and milk production traits in Chinese Holstein population. Journal of Dairy Science, 102(3), 2347-2352. https://doi.org/10.3168/jds.2018-15180

Guo, X. (2019). Genetic and Environmental Variation in Yield and Root Development in Winter Wheat Using a Semi-Field Phenotyping System. Abstract fra Plant and Animal Genome Conference ASIA 2019, Shenzhen, Kina.

Lidauer, M., Leino, A.-M., Stephansen, R. B., Pösö, J., Fikse, F. & Aamand, G. P. (2019). Genetic Evaluation for Maintenance – Towards Genomic Breeding Values for Saved Feed in Nordic Dairy Cattle. I Interbull Bulletin: Proceedings of the 2019 Interbull Meeting (Bind 55 (2019), s. 21-25) https://journal.interbull.org/index.php/ib/article/view/177

Mebratie, W., Madsen, P., Hawken, R., Romé, H., Marois, D., Henshall, J., Bovenhuis, H. & Jensen, J. (2019). Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens. Genetics Selection Evolution, 51(1), Artikel 53. https://doi.org/10.1186/s12711-019-0494-2

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

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

Zhang, T., Gao, H., Sahana, G., Zan, Y., Fan, H., Liu, J., Shi, L., Liu, J., Du, L., Wang, L. & Zhao, F. (2019). Genome-wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep. Journal of Animal Breeding and Genetics, 136(5), 362-370. https://doi.org/10.1111/jbg.12402

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

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

Kristensen, P. S., Jensen, J., Andersen, J. R., Guzmán, C., Jihad, O. & Jahoor, A. (2019). Genomic Prediction and Genome-Wide Association Studies of Flour Yield and Alveograph Quality Traits Using Advanced Winter Wheat Breeding Material. Genes, 10(9), Artikel 669. https://doi.org/10.3390/genes10090669

Cao, L., Liu, H., Mulder, H. A., Henryon, M., Thomasen, J. R., Kargo, M. & Sørensen, A. C. (2019). Genomic selection breeding program benefits more than traditional one in presence of GxE. 528-528. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien. https://doi.org/10.1364/JOSAA.36.000526

Slagboom, M., Kargo, M., Sørensen, A. C., Thomasen, J. R. & Mulder, H. A. (2019). Genomic selection improves the possibility of applying multiple breeding programs in different environments. Journal of Dairy Science, 102(9), 8197-8209. https://doi.org/10.3168/jds.2018-15939

Robertsen, C. D., Hjortshøj, R. L. & Janss, L. L. (2019). Genomic selection in cereal breeding. Agronomy, 9(2), Artikel 95. https://doi.org/10.3390/agronomy9020095

Thomasen, J. R. & Lassen, J. (2019). Genomic Selection in the Nordic Countries. 45-47. Abstract fra ZAR-Seminar 2019, Østrig. https://www.rinderzucht.at/downloads/seminarunterlagen.html

Liu, A., Su, G., Höglund, J., Zhang, Z., Thomasen, J. R., Christiansen, I. A., Wang, Y. & Kargo, M. (2019). Genotype by environment interaction for female fertility traits under conventional and organic production systems in Danish Holsteins. Journal of Dairy Science, 102(9), 8134-8147. https://doi.org/10.3168/jds.2018-15482

Zhang, Z., Kargo, M., Liu, A., Thomasen, J. R., Pan, Y. & Su, G. (2019). Genotype-by-environment interaction of fertility traits in Danish Holstein cattle using a single-step genomic reaction norm model. Heredity, 123(2), 202-214. https://doi.org/10.1038/s41437-019-0192-4

Chu, T. T., Rome, H. J. S., Norberg, E., Marois, D., Henshall, J. & Jensen, J. (2019). GxE interactions of body weight for broilers raised in bio-secure and commercial environments. Abstract fra Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

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

Wiking, L., Bjerring, M., Løkke, M. M., Løvendahl, P. & Kristensen, T. (2019). Herd factors influencing free fatty acid concentrations in bulk tank milk. Journal of Dairy Research, 86(2), 226-232. Artikel 0022029919000190. https://doi.org/10.1017/S0022029919000190

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

Buitenhuis, B., Lassen, J., Noel, S. J., Plichta, D. R., Sørensen, P., Difford, G. F. & Poulsen, N. A. (2019). Impact of the rumen microbiome on milk fatty acid composition of Holstein cattle. Genetics Selection Evolution, 51(1), Artikel 23. https://doi.org/10.1186/s12711-019-0464-8

de los Campos, G., Sorensen, D. A. & Toro, M. A. (2019). Imperfect linkage disequilibrium generates phantom epistasis (& perils of big data). G3: Genes, Genomes, Genetics, 9(5), 1429-1436. https://doi.org/10.1534/g3.119.400101

Wang, X., Lund, M. S., Ma, P., Janss, L., Kadarmideen, H. N. & Su, G. (2019). Improving genomic predictions by correction of genotypes from genotyping by sequencing in livestock populations. Journal of Animal Science and Biotechnology, 10, Artikel 8. https://doi.org/10.1186/s40104-019-0315-z

Chen, M., Su, G., Fu, J., Wang, A., Liu, J. F., Lund, M. S. & Guldbrandtsen, B. (2019). Introgression of Chinese haplotypes contributed to the improvement of Danish Duroc pigs. Evolutionary Applications, 12(2), 292-300. https://doi.org/10.1111/eva.12716

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

Kargo, M., Hein, L., Poulsen, N. A. & Buitenhuis, A. J. (2019). Keeping up with a healthy milk fatty acid profile requires selection. 604-604. Abstract fra 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgien.

Due, H., Schönherz, A. A., Ryø, L., Primo, M. N., Jespersen, D. S., Thomsen, E. A., Roug, A. S., Xiao, M., Tan, X., Pang, Y., Young, K. H., Bøgsted, M., Mikkelsen, J. G. & Dybkær, K. (2019). MicroRNA-155 controls vincristine sensitivity and predicts superior clinical outcome in diffuse large B-cell lymphoma. Blood Advances, 3(7), 1185-1196. https://doi.org/10.1182/bloodadvances.2018029660

Heidaritabar, M., Bijma, P., Janss, L., Bortoluzzi, C., Nielsen, H. M., Madsen, P., Ask, B. & Christensen, O. F. (2019). Models with indirect genetic effects depending on group sizes: a simulation study assessing the precision of the estimates of the dilution parameter. Genetics Selection Evolution, 51(1), 24. Artikel 24. https://doi.org/10.1186/s12711-019-0466-6

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). Multi-population GWAS and enrichment analyses reveal novel genomic regions and promising candidate genes underlying bovine milk fatty acid composition. BMC Genomics, 20, Artikel 178. https://doi.org/10.1186/s12864-019-5573-9

Kristensen, P. S., Jahoor, A., Andersen, J. R., Jihad, O., Janss, L. & Jensen, J. (2019). Multi-Trait and Trait-Assisted Genomic Prediction of Winter Wheat Quality Traits Using Advanced Lines from Four Breeding Cycles. Crop Breeding, Genetics and Genomics, Artikel :e190010. https://doi.org/10.20900/cbgg20190010

Manzanilla Pech, C. I. V., Løvendahl, P. & Lassen, J. (2019). Multi-trait genomic prediction of methane emission in Danish Holstein. Abstract fra 70th Annual Meeting of the European Federation of Animal Science (EAAP), Ghent, Belgien.

Guldbrandtsen, B., (2019). Nogle bemærkninger vedr. benefit sharing i husdyravl, Nr. 2019-760-001264, 7 s., maj 20, 2019.

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

Veeckman, E., Van Glabeke, S., Haegeman, A., Muylle, H., Van Parijs, F. R. D., Byrne, S. L., Asp, T., Studer, B., Rohde, A., Roldán-Ruiz, I., Vandepoele, K. & Ruttink, T. (2019). Overcoming challenges in variant calling: Exploring sequence diversity in candidate genes for plant development in perennial ryegrass (Lolium perenne). DNA Research, 26(1), 1-12. https://doi.org/10.1093/dnares/dsy033

Henryon, M., Liu, H., Berg, P., Su, G., Nielsen, H. M., Gebregiwergis, G. T. & Sørensen, A. C. (2019). Pedigree relationships to control inbreeding in optimum-contribution selection realise more genetic gain than genomic relationships. Genetics Selection Evolution, 51(1), Artikel 39. https://doi.org/10.1186/s12711-019-0475-5

Vestergaard, M., Jørgensen, K. F., Çakmakçı, C., Kargo, M., Therkildsen, M., Munk, A. & Kristensen, T. (2019). Performance and carcass quality of crossbred beef x Holstein bull and heifer calves in comparison with purebred Holstein bull calves slaughtered at 17 months of age in an organic production system. Livestock Science, 223, 184-192. https://doi.org/10.1016/j.livsci.2019.03.018

Viser resultater 701 til 800 ud af 6833

Forrige

Næste

Revideret 19.03.2025

Jette Odgaard Villemoes