Publikationer

Peer-reviewed publikationer ved QGG

Tang, X., Liu, P., Luo, N., Wen, J., Li, H., Zhao, G. & An, B. (2024). Mining Candidate Genes and Identifying Risk Factors for Leg Disease in Broilers: A Mendelian Randomization Study. International Journal of Molecular Sciences , 25(16), Artikel 8890. https://doi.org/10.3390/ijms25168890

Li, T., Xu, H., Teng, S., Suo, M., Bahitwa, R., Xu, M., Qian, Y., Ramstein, G. P., Song, B., Buckler, E. S. & Wang, H. (2024). Modeling 0.6 million genes for the rational design of functional cis-regulatory variants and de novo design of cis-regulatory sequences. Proceedings of the National Academy of Sciences of the United States of America, 121(26), Artikel e2319811121. https://doi.org/10.1073/pnas.2319811121

Liu, L., Yi, G., Yao, Y., Liu, Y., Li, J., Yang, Y., Liu, M., Fang, L., Mo, D., Zhang, L., Liu, Y., Niu, Y., Wang, L., Qu, X., Pan, Z., Wang, L., Chen, M., Fan, X., Chen, Y. ... Tang, Z. (2024). Multiomics analysis reveals signatures of selection and loci associated with complex traits in pigs. iMeta, 3(6), Artikel e250. https://doi.org/10.1002/imt2.250

Bernstorff, M., Vistisen, S. T. & Enevoldsen, K. C. (2024). Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls. Journal of Clinical Monitoring and Computing, 38(2), 241-245. https://doi.org/10.1007/s10877-024-01128-3

Ye, X., Sahana, G., Lund, M. S. & Cai, Z. (2024). Network analysis unraveled the complex interactions in the rumen microbiome associated with methane emission in dairy cattle. Abstract fra The 75th EAAP Annual Meeting, Florence, Italien. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Tao, K., Jensen, I. T., Zhang, S., Villa-Rodríguez, E., Blahovska, Z., Salomonsen, C. L., Martyn, A., Björgvinsdóttir, Þ. N., Kelly, S., Janss, L., Glasius, M., Waagepetersen, R. & Radutoiu, S. (2024). Nitrogen and Nod factor signaling determine Lotus japonicus root exudate composition and bacterial assembly. Nature Communications, 15(1), Artikel 3436. https://doi.org/10.1038/s41467-024-47752-0

Olesen, J. E., Andersen, M. N., Greve, M. H., Sørensen, J. T., Nørgaard, J. V., Weisbjerg, M. R., Henriksen, B. I. F., Rasmussen, M. D., Villumsen, T. M., Ottosen, C.-O., Kristensen, H. L. & Jensen, M., (2024). Oplistning af forskningsspørgsmål og -emner relevant for klimatilpasning af landbruget, Nr. 2024-0666449, 15 s., apr. 25, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Li, D., Wang, Y., Yuan, T., Cao, M., He, Y., Zhang, L., Li, X., Jiang, Y., Li, K., Sun, J., Lv, G., Su, G., Wang, Q., Pan, Y., Li, X., Jiang, Y., Yang, G., Groenen, M. A. M., Derks, M. F. L. ... Yu, T. (2024). Pangenome and genome variation analyses of pigs unveil genomic facets for their adaptation and agronomic characteristics. iMeta, 3(6), Artikel e257. https://doi.org/10.1002/imt2.257

Zeng, H., Zhang, W., Lin, Q., Gao, Y., Teng, J., Xu, Z., Cai, X., Zhong, Z., Wu, J., Liu, Y., Diao, S., Wei, C., Gong, W., Pan, X., Li, Z., Huang, X., Chen, X., Du, J., Zhao, F. ... PigGTEx Consortium (2024). PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs. Nucleic Acids Research, 52(D1), D980-D989. https://doi.org/10.1093/nar/gkad1080

Gebreyesus, G., Jensen, K. & Luca, A. (2024). Prediction of nutritional content of black soldier fly (BSF) larvae using multispectral imaging. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 536-636). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Ojungu, M., Mali, B., Geoffrey, S., Nakimbugwe, D., Cheruiyot Bett , R., Gebreyesus, G. & Walusimbi, S. (2024). Production characteristics and constraints of black soldier fly farmers in Uganda. 27. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Gebreyesus, G., Cheruiyot Bett , R., Nakimbugwe, D., Hansen, L. S., Nielsen, H. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., MBI Tanga, C., Mwikirize, C., Akol, R., Katumba, A., Khamis, F., Kinyua, J., Walusimbi, S., Geoffrey, S., Roos, N. & Sahana, G. (2024). Prospects of implementing black soldier fly (BSF) selective breeding in Kenya and Uganda: Status from the FlyGene Project. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Legarra, A., Bermann, M., Mei, Q. & Christensen, O. F. (2024). Redefining and interpreting genomic relationships of metafounders. Genetics, selection, evolution : GSE, 56(1), Artikel 34. https://doi.org/10.1186/s12711-024-00891-w

Stephansen, R. B., Martin, P., Manzanilla-Pech, C. I. V., Giagnoni, G., Madsen, M. D., Ducrocq, V., Weisbjerg, M. R., Lassen, J. & Friggens, N. C. (2024). Review: Improving residual feed intake modelling in the context of nutritional- and genetic studies for dairy cattle. ANIMAL, 18(9), Artikel 101268. https://doi.org/10.1016/j.animal.2024.101268

Madsen, M. D., Kristensen, P. S., Mahmood, K., Thach, T., Mohlfeld, M., Orabi, J., Sarup, P., Jahoor, A., Hovmøller, M. S., Rodriguez-Algaba, J. & Jensen, J. (2024). Scald resistance in hybrid rye (Secale cereale): genomic prediction and GWAS. Frontiers in Plant Science, 15, Artikel 1306591. https://doi.org/10.3389/fpls.2024.1306591

Hansen, L. S., Laursen, S. F., Bahrndorff, S., Kargo, M., Sørensen, J. G., Sahana, G., Nielsen, H. M. & Kristensen, T. N. (2024). Selective breeding in commercial insects with a house fly model system. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Hansen, L. S. (2024). Selective breeding in insects for food and feed. Aarhus University.

Nagy, I., Malinowska, M. & Asp, T. (2024). Semi-automated image analysis and genome-wide association studies of root architecture and early root development in faba bean and white clover. SEGES Innovation. https://www.landbrugsinfo.dk/-/media/landbrugsinfo/public/a/5/6/report_work_with_root_arcitecture.pdf

Manunza, A., Ramirez-Diaz, J., Guldbrandtsen, B., Schönherz, A. A., Cozzi, P., Kusza, S., Sahana, G. & Stella, A. (2024). Sheep along the trading routes: what may we tell from their demographic history? A case study from Hungary. I EAAP 2024 Book of Abstracts (s. 421). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

De Pol, F., Baranowski, M., Neumann, C., Trampari, S., Nissen, P. & Pérez, J. (2024). Simulation and modelling of the detergent corona around the membrane protein MhsT based on SAXS data. Journal of Applied Crystallography, 57, 1415-1425. https://doi.org/10.1107/S1600576724006721

Chu, T. T., Kristensen, P. S. & Jensen, J. (2024). Simulation of functional additive and non-additive genetic effects using statistical estimates from quantitative genetic models. Heredity, 133(1), 33-42. https://doi.org/10.1038/s41437-024-00690-5

Kempe, R. M., Koivula, M., Pitkänen, T. J., Stephansen, R. B., Pösö, J., Nielsen, U. S., Fikse, W. F., Aamand, G. P. & Lidauer, M. H. (2024). Single-step genomic prediction models for metabolic body weight in Nordic Holstein, Red dairy cattle, and Jersey. I Proceedings of the 2024 Interbull Meeting (s. 92-96). Swedish University of Agricultural Sciences. https://journal.interbull.org/index.php/ib/article/view/1935

Baghooee, M. & Geissmann, Q. (2024). Size-aware deep-learning model for image-based insect classification. 68. Abstract fra AI and Biology, Heidelberg, Tyskland.

Stefanucci, L., Moslemi, C., Tomé, A. R., Virtue, S., Bidault, G., Gleadall, N. S., Watson, L. P. E., Kwa, J. E., Burden, F., Farrow, S., Banasik, K., Bay, J., Boldsen, J. K., Brodersen, T., Brunak, S., Burgdorf, K., Chalmer, M. A., Didriksen, M., Dinh, K. M. ... Frontini, M. (2024). SMIM1 absence is associated with reduced energy expenditure and excess weight. Med, 5(9), 1083-1095.e6. https://doi.org/10.1016/j.medj.2024.05.015

Yousaf, M. F., Demirel, U., Naeem, M., Naawe, E. K. & Caliskan, M. E. (2024). SNP Markers Associated with Some Root, Stolon, and Tuber Traits in Tetraploid Potatoes (Solanum tuberosum L.) Grown Under Diverse Growing Systems. Potato Research, 67(4), 1735-1753. https://doi.org/10.1007/s11540-024-09718-z

Ssemakula, F., Kabuye, A., Geoffrey, S., Akol, R., Mwikirize, C., Nkirote Kunyanga , C., Cheruiyot Bett , R., Nakimbugwe, D., Katumba, A. & Gebreyesus, G. (2024). Technological prediction of protein and fat in black soldier fly larvae. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Slagboom, M., Nielsen, H. M., Kargo, M., Henryon, M. & Hansen, L. S. (2024). The effect of phenotyping, adult selection, and mating strategies on genetic gain and rate of inbreeding in black soldier fly breeding programs. Genetics Selection Evolution, 56(1), Artikel 71. https://doi.org/10.1186/s12711-024-00938-y

Zaalberg, R. M., Clasen, J. B., Bovbjerg, H., Jensen, J., Villumsen, T. M. & Chu, T. T. (2024). The effects of phenotyping and genotyping strategies, and the use of conventional or organic sires on genetic gain in an organic pig population. Livestock Science, 283, Artikel 105456. https://doi.org/10.1016/j.livsci.2024.105456

Schoen, D. J. & Speed, D. (2024). The heritability of fitness in a wild annual plant population with hierarchical size structure. Evolution, 78(10), 1739-1745. https://doi.org/10.1093/evolut/qpae112

van Staaveren, N., de Oliveira, H., Houlahan, K., Chud, T., Oliveira, G., Hailemariam, D., Kistemaker, G., Miglior, F., Plastow, G., Schenkel, F. S., Cerri, R., Sirard, M.-A., Stothard, P., Pryce, J., Butty, A., Stratz, P., Abdalla, E., Segelke, D., Stamer, E. ... Baes, C. F. (2024). The Resilient Dairy Genome Project: a general overview of methods and objectives related to feed efficiency and methane emissions. Journal of Dairy Science, 107(3), 1510-1522. https://doi.org/10.3168/jds.2022-22951

Paina, C., Fois, M., Asp, T., Jensen, J., Hansen, P. B. & Rohde, P. D. (2024). The soil microbiome of Lolium perenne L. depends on host genotype, is modified by nitrogen level and varies across season. Scientific Reports, 14(1), Artikel 5767. https://doi.org/10.1038/s41598-024-56353-2

Hansen, L. S., Laursen, S. F., Bahrndorff, S., Sørensen, J. G., Sahana, G., Kristensen, T. N. & Nielsen, H. M. (2024). The unpaved road towards efficient selective breeding in insects for food and feed. https://arxiv.org/abs/2406.16364

Pedersen, L. J., Kongsted, H., Su, G. & Christensen, O. F. (2024). Tiltag som kan forbedre pattegriseoverlevelsen. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Roy, D. B., Alison, J., August, T. A., Bélisle, M., Bjerge, K., Bowden, J. J., Bunsen, M. J., Cunha, F., Geissmann, Q., Goldmann, K., Gomez-Segura, A., Jain, A., Huijbers, C., Larrivée, M., Lawson, J. L., Mann, H. M., Mazerolle, M. J., McFarland, K. P., Pasi, L. ... Høye, T. T. (2024). Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1904), Artikel 20230108. https://doi.org/10.1098/rstb.2023.0108

Nielsen, V. H. & Kargo, M., (2024). Udfyldelse af FAOs spørgeskema til "State of The World" rapport nr. 3 - Danmarks bidrag, Nr. 2024-0704273, 167 s., jul. 12, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Muchina, P., Kinyua, J., Khamis, F., MBI Tanga, C., Cai, Z., Gebreyesus, G. & Sahana, G. (2024). Unraveling genetic diversity and population structure of black soldier fly (Hermetia illucens) in Kenya and Uganda. 11. Abstract fra Insects for the Green Economy: Sustainable Food
Systems and Livelihoods in Africa, Nairobi, Kenya. https://qgg.au.dk/fileadmin/site_files/mb/QGG/Billeder/FLYgene/book-of-abstracts-insects-for-the-green-economy-conference-feb2024.pdf

Kazemi Naeini, M., Akbarzadeh, M., Kazemi, I., Speed, D. & Hosseini, S. M. (2024). Using the Bayesian variational spike and slab model in a genome-wide association study for finding associated loci with bipolar disorder. Annals of Human Genetics, 88(3), 212-246. https://doi.org/10.1111/ahg.12538

Bokde, N. D., Patil, P. K., Sengupta, S., Sawant, M. & Feijóo-Lorenzo, A. E. (2024). VedicDateTime: An R package to implement Vedic calendar system. Multimedia Tools and Applications, 83(11), 32141-32157. https://doi.org/10.1007/s11042-023-16553-w

Londhe, D. S., Katpatal, Y. B., Mukesh, M. S. & Bokde, N. D. (2024). Vegetation dynamics and its driving factors in agro-climatic zones of Upper Bhima Sub-basin, Western India. International Journal of Environmental Science and Technology, 21(3), 2367-2382. https://doi.org/10.1007/s13762-023-05094-2

Andersen, M. N. (red.), Adamsen, A. P. S. (red.), Lærke, P. E., Ugilt Larsen, S., Jørgensen, U., Olesen, J. E., Manevski, K., Bay, S. S., Hutchings, N., Hansen, E. M., Munkholm, L. J., Børgesen, C. D., Thomsen, I. K., Elsgaard, L., Petersen, S. O., Toda, M., Ntinyari, W., Sørensen, P., Audet, J. ... Nielsen, H. M. (2024). Virkemidler til reduktion af klimagasser i landbruget - 2024. Aarhus Universitet - DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport Bind 2024 Nr. 227 https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport227.pdf

Cai, Z., Hansen, L. S., Laursen, S. F., Nielsen, H. M., Bahrndorff, S., Tomberlin, J. K., Kristensen, T. N., Sørensen, J. G. & Sahana, G. (2024). Whole-genome sequencing of two captive black soldier fly populations: Implications for commercial production. Genomics, 116(5), Artikel 110891. https://doi.org/10.1016/j.ygeno.2024.110891

Bonifazi, R., Heidaritabar, M., Barlow, L., Bouwman, A. C., Plastow, G., Stothard, P., Chen, L., Basarab, J., Li, C., Karaman, E., Moreira, GCM. & Gredler-Grandl, B. (2024). Within and across population genomic predictions incorporating functional genomic annotations. 73-74.

Nielsen, H. M., Zaalberg, R. M., Slagboom, M., Schou, T. M., Noer, N. K. & Kargo, M. (2023). A bio-economic model for estimating economic values of important traits in the black soldier fly (Hermetia illucens). Abstract fra BSF CON , Cambridge, Storbritannien.

Guillenea, A., Lund, M. S., Evans, R., Boerner, V. & Karaman, E. (2023). A breed-of-origin of alleles model that includes crossbred data improves predictive ability for crossbred animals in a multi-breed population. Genetics, selection, evolution : GSE, 55(1), Artikel 34. https://doi.org/10.1186/s12711-023-00806-1

Vardhan, B. V. S., Khedkar, M., Srivastava, I., Thakre, P. & Bokde, N. D. (2023). A Comparative Analysis of Hyperparameter Tuned Stochastic Short Term Load Forecasting for Power System Operator. Energies, 16(3), Artikel 1243. https://doi.org/10.3390/en16031243

Salimiyekta, Y., Jensen, J., Su, G. & Gebreyesus, G. (2023). Age-dependent genetic and environmental variance of semen quality in Nordic Holstein bulls. Journal of Dairy Science, 106(4), 2598-2612. https://doi.org/10.3168/jds.2022-22442

Si, J., Dai, D., Li, K., Fang, L. & Zhang, Y. (2023). A Multi-Tissue Gene Expression Atlas of Water Buffalo (Bubalus bubalis) Reveals Transcriptome Conservation between Buffalo and Cattle. Genes, 14(4), Artikel 890. https://doi.org/10.3390/genes14040890

Hein, L. & Kargo, M., (2023). Analyse af anvendelse af Blåkvægssæd i økologisk produktion, Nr. 2021-0244490, 58 s., feb. 09, 2023. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Tiwari, S., Sengupta, J. & Bokde, N. D. (2023). Analysis of Individual User Data Rate in a TDMA-RIS-NOMA Downlink System: Beyond the Limitation of Conventional NOMA. Electronics, 12(3), Artikel 618. https://doi.org/10.3390/electronics12030618

Pan, Z., Wang, Y., Wang, M., Wang, Y., Zhu, X., Gu, S., Zhong, C., An, L., Shan, M., Damas, J., Halstead, M. M., Guan, D., Trakooljul, N., Wimmers, K., Bi, Y., Wu, S., Delany, M. E., Bai, X., Cheng, H. H. ... Zhou, H. (2023). An atlas of regulatory elements in chicken: A resource for chicken genetics and genomics. Science Advances, 9(18), Artikel eade1204. https://doi.org/10.1126/sciadv.ade1204

Bokde, N. D., Milkevych, V., Nielsen, R. K., Villumsen, T. M. & Sahana, G. (2023). A novel approach for anomaly detection in dairy cow gas emission records. Computers and Electronics in Agriculture, 214, Artikel 108286. https://doi.org/10.1016/j.compag.2023.108286

Sahu, S. K., Mokhade, A. & Bokde, N. D. (2023). An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges. Applied Sciences (Switzerland), 13(3), Artikel 1956. https://doi.org/10.3390/app13031956

Yousaf, M. F., Zia, M. A. B. & Naeem, M. (2023). Application of SolCAP Genotyping in Potato (Solanum tuberosum L.) Association Mapping. I Y. Shavrukov (red.), Plant Genotyping (s. 415-435). Humana Press. https://doi.org/10.1007/978-1-0716-3024-2_30

Londhe, D. S., Katpatal, Y. B., Singh, C. K. & Bokde, N. D. (2023). Assessment of vegetation variation and its response to ENSO and IOD in the semi-arid ecosystem of Western India. Journal of Water and Climate Change, 14(8), 2642-2662. https://doi.org/10.2166/wcc.2023.010

Karaman, E. (2023). Bayesian gene regulatory network inference using mixture priors. Abstract fra 9th Nordic-Baltic Biometric Conference, Gothenburg, Sverige. https://ibsnbr.org/NBBC23/NBBC23_Abstracts.pdf

Karaman, E., Milkevych, V. & Janss, L. (2023). Biologically informed genomic predictions with the NextGP.jl statistical analysis package. I Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

Laursen, S. F., Hansen, L. S., Bahrndorff, S., Kargo, M., Nielsen, H. M., Sahana, G., Sørensen, J. G. & Kristensen, T. N. (2023). Breeding Insects for Food and Feed. Poster-session præsenteret på Agri Food and Climate Circle 2023, København, Danmark.

Thomasen, J. R., Lassen, J. & Borchersen, S. (2023). Camera technology to bring large scale data from commercial herds. Poster-session præsenteret på 15th World Holstein Friesian Federation (WHFF) Conference, Puy-du-Fou, Frankrig. https://whff.info/wp-content/uploads/2023/11/WHFF_JornRindThomasen_CameraTech.pdf

Zira, S., Bouquet, A. E. R., Rydhmer, L., Kargo, M. & Puillet, L. (2023). Carbon footprint based on lifetime productivity for future cows selected for resilience to climate-related disturbances. Journal of Dairy Science, 106(12), 8953-8968. https://doi.org/10.3168/jds.2023-23492

Therkildsen, M., Vestergaard, M., Kargo, M., Keto, L., Ertbjerg, P., Thorkelsson, G., Gudjónsdóttir, M., Kjetså, M., Honkatukia, M., Egelandsdal, B., Svartedal, N., Røe, M., Fikse, F. W., Karlssom, A. H. & Hessle, A. (2023). Carcass characteristics of Nordic native cattle breeds. Genetic Resources, 4(7), 1-19. https://doi.org/10.46265/genresj.LWUP7415

Jensen, N. E., Vestergaard, M., Kargo, M., Keto, L., Ertbjerg, P., Thorkelsson, G., Gudjónsdóttir, M., Kjetså, M., Honkatukia, M., Egelandsdal, B., Svartedal, N., Røe, M., Fikse, F. W., H. Karlsson, A., Hessle, A. & Therkildsen, M. (2023). Carcass characteristics of Nordic native cattle breeds. Abstract fra 69th International Congress of Meat Science and Technology (ICoMST), Padova, Italien.

H. Karlsson, A., Svartedal, N., Kjetså, M., Egelandsdal, B., Røe, M., Thorkelsson, G., Guðjónsdóttir, M., Honkatukia, M., Keto, L., Ertbjerg, P., Hessle, A., Vestergaard, M., Kargo, M., Arvidssson-Segerkvist, K. & Therkildsen, M. (2023). Carcass characteristics of Swedish native sheep breeds. Abstract fra 69th International Congress of Meat Science and Technology (ICoMST), Padova, Italien.

Kargo, M., Buitenhuis, A. J., Kristensen, T., Nielsen, H. M., Østergaard, S., Munk, A. & Vestergaard, M. (2023). Climate beef – by more beef based on the dairy cow. Abstract fra International Agri Food & Climate Circle 2023, Copenhagen, Danmark.

Thorsgaard Jensen, I., Janss, L., Radutoiu, S. & Waagepetersen, R. (2023). Compositionally aware estimation of cross-correlations for microbiome data.

Wang, X., Li, W., Feng, X., Li, J., Liu, G. E., Fang, L. & Yu, Y. (2023). Correction: Harnessing male germline epigenomics for the genetic improvement in cattle . Journal of Animal Science and Biotechnology, 14(1), Artikel 110. https://doi.org/10.1186/s40104-023-00917-1

Buitenhuis, A. J., Hein, L., Sørensen, L. P. & Kargo, M. (2023). Correlation between breeding values for milk fatty acids and Nordic Total Merit index traits for Danish Holstein and Danish Jersey. Journal of Dairy Science, 106(8), 5554-5561. https://doi.org/10.3168/jds.2022-22575, https://doi.org/10.3168/jds.2022-22575

Forte, F. P., Malinowska, M., Nagy, I., Schmid, J., Dijkwel, P., Hume, D. E., Johnson, R. D., Simpson, W. R. & Asp, T. (2023). Corrigendum: Methylome changes in Lolium perenne associated with long-term colonisation by the endophytic fungus Epichloë sp. LpTG-3 strain AR37 (Frontiers in Plant Science, (2023), 14, (1258100), 10.3389/fpls.2023.1258100). Frontiers in Plant Science, 14, Artikel 1332690. https://doi.org/10.3389/fpls.2023.1332690

Enevoldsen, K., Hansen, L., Nielsen, D. S., Egebæk, R., Holm, S., Nielsen, M. C., Bernstorff, M., Larsen, R., Jørgensen, P. B., Højmark-Bertelsen, M., Vahlstrup, P. B., Møldrup-Dalum, P. & Nielbo, K. L. (2023). Danish Foundation Models: Danish Foundation Models. ArXiv. https://arxiv.org/abs/2311.07264

Dorosh, R., Allen, J., He, Z., Ninatanta, C., Coleman, J., Spieker, J., Tuck, E., Kurtz, J., Zhang, Q., Whiting, M. D., Luo, J., Karkee, M. & Luo, M. (2023). Design, Modeling, and Control of a Low-Cost and Rapid Response Soft-Growing Manipulator for Orchard Operations. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4184-4190. http://adsabs.harvard.edu/abs/2023arXiv231100197D

Lassen, I. M. S., Almasi, M., Enevoldsen, K. & Kristensen-McLachlan, R. D. (2023). Detecting intersectionality in NER models: A data-driven approach. I EACL 2023 - 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Proceedings of LaTeCH-CLfL 2023 (s. 116-127). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.latechclfl-1.13

Khaipho-Burch, M., Ferebee, T., Giri, A., Ramstein, G., Monier, B., Yi, E., Cinta Romay, M. & Buckler, E. S. (2023). Elucidating the patterns of pleiotropy and its biological relevance in maize. PLOS Genetics, 19(3), Artikel e1010664. https://doi.org/10.1371/journal.pgen.1010664

Romé, H., Chu, T. T., Marois, D., Huang, C. H., Madsen, P. & Jensen, J. (2023). Estimation and consequences of direct-maternal genetic and environmental covariances in models for genetic evaluation in broilers. Genetics Selection Evolution, 55(1), Artikel 58. https://doi.org/10.1186/s12711-023-00829-8

Buitenhuis, A. J. & Poulsen, N. A. (2023). Estimation of heritability for milk urea and genetic correlations with milk production traits in 3 Danish dairy breeds. Journal of Dairy Science, 106(8), 5562-5569. https://doi.org/10.3168/jds.2022-22798

Rohde, P. D., Fourie Sørensen, I. & Sørensen, P. (2023). Expanded utility of the R package, qgg, with applications within genomic medicine. Bioinformatics (Oxford, England), 39(11), Artikel btad656. https://doi.org/10.1093/bioinformatics/btad656

Nielsen, H. M., Kristensen, T. N., Sahana, G., Laursen, S. F., Bahrndorff, S., Sørensen, J. G. & Hansen, L. S. (2023). Expected response to selection on larval size and development time in the housefly (Musca domestica). Abstract fra
74th Annual Meeting of European Federation of Animal Science, Lyon, Frankrig.

Rohner, M., Manzanares, C., Yates, S., Thorogood, D., Copetti, D., Lübberstedt, T., Asp, T. & Studer, B. (2023). Fine-Mapping and Comparative Genomic Analysis Reveal the Gene Composition at the S and Z Self-incompatibility Loci in Grasses. Molecular Biology and Evolution, 40(1), Artikel msac259. https://doi.org/10.1093/molbev/msac259

Gebreyesus, G., Cheruiyot Bett , R., Nkirote Kunyanga , C., MBI Tanga, C., Nakimbugwe, D., Khamis, F., Kinyua, J., Muchina, K., Roos, N., Walusimbi, S., Geoffrey, S. & Sahana, G. (2023, jan.). FLYgene - Stakeholders’ workshop report in WP1. Center for Kvantitativ genetik og genomforskning (QGG), Aarhus Universitet.

Villumsen, T. M. & Stephansen, R. B. (2023). Fodereffektivitet og avl som redskaber i klima-arbejdet. Abstract fra Kvægkongres, Herning.

Hansen, L. S., Bouwman, A. C., Nielsen, H. M., Sahana, G. & Ellen, E. D. (2023). Full-sib group records as a practical alternative to individual records in insect breeding. Abstract fra
74th Annual Meeting of European Federation of Animal Science, Lyon, Frankrig.

Raffo, M. A. (2023). Gene-by-gene and genotype-by-environment interactions in wheat. Århus Universitet.

Ahmad, S., Drag, M. H., Mohamad Salleh, S., Cai, Z. & Nielsen, M. O. (2023). Gene coexpression network analysis reveals perirenal adipose tissue as an important target of prenatal malnutrition in sheep. Physiological Genomics, 55(9), 392-413. https://doi.org/10.1152/physiolgenomics.00128.2022

Ning, M., Zhao, Y., Dai, D., Yao, C., Liu, H., Fang, L., Wang, B., Zhang, Y. & Cao, J. (2023). Gene co-expression network and differential expression analyses of subcutaneous white adipose tissue reveal novel insights into the pathological mechanisms underlying ketosis in dairy cows. Journal of Dairy Science, 106(7), 5018-5028. https://doi.org/10.3168/jds.2022-22941

Xiang, R., Fang, L., Liu, S., Macleod, I. M., Liu, Z., Breen, E. J., Gao, Y., Liu, G. E., Tenesa, A., CattleGTEx Consortium, Mason, B. A., Chamberlain, A. J., Wray, N. R. & Goddard, M. E. (2023). Gene expression and RNA splicing explain large proportions of the heritability for complex traits in cattle. Cell Genomics, 3(10), Artikel 100385. https://doi.org/10.1016/j.xgen.2023.100385

Raffo, M. A. & Jensen, J. (2023). Gene × gene and genotype × environment interactions in wheat. Crop Science, 63(4), 1779-1793. https://doi.org/10.1002/csc2.20986

Skovbjerg, C. K., Angra, D., Robertson-Shersby-Harvie, T., Kreplak, J., Keeble-Gagnère, G., Kaur, S., Ecke, W., Windhorst, A., Nielsen, L. K., Schiemann, A., Knudsen, J., Gutierrez, N., Tagkouli, V., Fechete, L. I., Janss, L., Stougaard, J., Warsame, A., Alves, S., Khazaei, H. ... Andersen, S. U. (2023). Genetic analysis of global faba bean diversity, agronomic traits and selection signatures. Theoretical and Applied Genetics, 136(5), Artikel 114. https://doi.org/10.1007/s00122-023-04360-8

Bornhofen, E., Fé, D., Nagy, I., Lenk, I., Greve, M., Didion, T., Jensen, C. S., Asp, T. & Janss, L. (2023). Genetic architecture of inter-specific and -generic grass hybrids by network analysis on multi-omics data. BMC Genomics, 24(1), Artikel 213. https://doi.org/10.1186/s12864-023-09292-7

Byg, L. M., Speed, M., Speed, D. & Østergaard, S. D. (2023). Genetic liability to bipolar disorder and body mass index: A bidirectional two-sample mendelian randomization study. Bipolar Disorders, 25(1), 25-31. https://doi.org/10.1111/bdi.13267

Zaalberg, R. M., Chu, T. T., Bovbjerg, H., Jensen, J. & Villumsen, T. M. (2023). Genetic parameters for early piglet weight, litter traits and number of functional teats in organic pigs. Animal, 17(3), Artikel 100717. https://doi.org/10.1016/j.animal.2023.100717

Manzanilla-Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2023). Genetic parameters for feed intake and body weight in dairy cattle using high-throughput 3-dimensional cameras in Danish commercial farms. Journal of Dairy Science, 106(12), 9006-9015. https://doi.org/10.3168/jds.2023-23405

Adlam, D., Berrandou, T. E., Georges, A., Nelson, C. P., Giannoulatou, E., Henry, J., Ma, L., Blencowe, M., Turley, T. N., Yang, M. L., Chopade, S., Finan, C., Braund, P. S., Sadeg-Sayoud, I., Iismaa, S. E., Kosel, M. L., Zhou, X., Hamby, S. E., Cheng, J. ... DISCO register (2023). Genome-wide association meta-analysis of spontaneous coronary artery dissection identifies risk variants and genes related to artery integrity and tissue-mediated coagulation. Nature Genetics, 55(6), 964-972. https://doi.org/10.1038/s41588-023-01410-1

Cai, Z., Wu, X., Thomsen, B., Lund, M. S. & Sahana, G. (2023). Genome-wide association study identifies functional genomic variants associated with young stock survival in Nordic Red Dairy Cattle. Journal of Dairy Science, 106(11), 7832-7845. https://doi.org/10.3168/jds.2023-23252

Mei, Q., Liu, H., Zhao, S., Xiang, T. & Christensen, O. F. (2023). Genomic evaluation for two-way crossbred performance in cattle. Genetics Selection Evolution, 55(1), Artikel 17. https://doi.org/10.1186/s12711-023-00792-4

Legarra, A. & Christensen, O. F. (2023). Genomic evaluation methods to include intermediate correlated features such as high-throughput or omics phenotypes. JDS Communications , 4(1), 55-60. https://doi.org/10.3168/jdsc.2022-0276

Guillenea, A., Christensen, O. F., Thomasen, J. R., Liu, H. & Karaman, E. (2023). Genomic evaluation of crossbred dairy cows considering breed origin of alleles. Abstract fra Interbull Meeting 2023, Lyon, Frankrig.

Guillenea, A. (2023). Genomic prediction and QTL mapping in multi-breed and crossbred cattle populations considering breed origin of the alleles. Århus Universitet.

Raffo, M. A., Cuyabano, B. C. D., Rincent, R., Sarup, P., Moreau, L., Mary-Huard, T. & Jensen, J. (2023). Genomic prediction for grain yield and micro-environmental sensitivity in winter wheat. Frontiers in Plant Science, 13, Artikel 1075077. https://doi.org/10.3389/fpls.2022.1075077

Shi, R., Chen, Z., Su, G., Luo, H., Liu, L., Guo, G. & Wang, Y. (2023). Genomic prediction of service sire effect on female reproductive performance in Holstein cattle: A comparison between different methods, validation population and marker densities. Journal of Animal Breeding and Genetics, 140(4), 355-365. https://doi.org/10.1111/jbg.12763

Tenhunen, S. R., Thomasen, J. R., Sørensen, L. P., Berg, P. & Kargo, M. (2023). Genomic selection has aided Nordic Jersey to decrease risks of inbreeding. 393. Abstract fra
74th Annual Meeting of European Federation of Animal Science, Lyon, Frankrig.

Wang, X., Li, W., Feng, X., Li, J., Liu, G. E., Fang, L. & Yu, Y. (2023). Harnessing male germline epigenomics for the genetic improvement in cattle. Journal of Animal Science and Biotechnology, 14(1), Artikel 76. https://doi.org/10.1186/s40104-023-00874-9

Ahuja, B., Doriya, R., Salunke, S., Hashmi, M. F., Gupta, A. & Bokde, N. D. (2023). HDIEA: high dimensional color image encryption architecture using five-dimensional Gauss-logistic and Lorenz system. Connection Science, 35(1), Artikel 2175792. https://doi.org/10.1080/09540091.2023.2175792

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