Publications

Peer-reviewed publications at QGG

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), Article 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, Article 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), Article 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), Article 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, No. 2024-0704273, 167 p., 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 from 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. (Ed.), Adamsen, A. P. S. (Ed.), 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 Vol. 2024 No. 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), Article 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., consortium, T. B. & 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 from BSF CON , Cambridge, United Kingdom.

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), Article 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), Article 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), Article 890. https://doi.org/10.3390/genes14040890

Hein, L. & Kargo, M., (2023). Analyse af anvendelse af Blåkvægssæd i økologisk produktion, No. 2021-0244490, 58 p., 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), Article 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), Article 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, Article 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), Article 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. In Y. Shavrukov (Ed.), Plant Genotyping (pp. 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 from 9th Nordic-Baltic Biometric Conference, Gothenburg, Sweden. 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. In 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 presented at Agri Food and Climate Circle 2023, København, Denmark.

Thomasen, J. R., Lassen, J. & Borchersen, S. (2023). Camera technology to bring large scale data from commercial herds. Poster session presented at 15th World Holstein Friesian Federation (WHFF) Conference, Puy-du-Fou, France. 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 from 69th International Congress of Meat Science and Technology (ICoMST), Padova, Italy.

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 from 69th International Congress of Meat Science and Technology (ICoMST), Padova, Italy.

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 from International Agri Food & Climate Circle 2023, Copenhagen, Denmark.

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), Article 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, Article 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

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), Article 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), Article 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), Article 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 from
74th Annual Meeting of European Federation of Animal Science, Lyon, France.

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), Article 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 from 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 from
74th Annual Meeting of European Federation of Animal Science, Lyon, France.

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), Article 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), Article 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), Article 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), Article 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), Article 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 from Interbull Meeting 2023, Lyon, France.

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, Article 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 from
74th Annual Meeting of European Federation of Animal Science, Lyon, France.

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), Article 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), Article 2175792. https://doi.org/10.1080/09540091.2023.2175792

Manzanilla Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2023). Heterogeneity of 3D cameras feed intake heritabilities in first parity Holstein, Jersey and Nordic Red cows. In Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science : EAAP Book of Abstracts, Volume 29 Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical classification of insects with multitask learning and anomaly detection. Ecological Informatics, 77, Article 102278. https://doi.org/10.1016/j.ecoinf.2023.102278

Bjerge, K., Geissmann, Q., Alison, J., Mann, H. M. R., Høye, T. T., Dyrmann, M. & Karstoft, H. (2023). Hierarchical Classification of Insects with Multitask Learning and Anomaly Detection. bioRxiv. https://doi.org/10.1101/2023.06.29.546989

Gautason, E., Sahana, G., Guldbrandtsen, B. & Berg, P. (2023). Impact of kinship matrices on genetic gain and inbreeding with optimum contribution selection in a genomic dairy cattle breeding program. Genetics Selection Evolution, 55(1), Article 48. https://doi.org/10.1186/s12711-023-00826-x

Zhang, Z., Shi, S., Zhang, Q., Aamand, G. P., Lund, M. S., Su, G. & Ding, X. (2023). Improving Genomic Prediction Accuracy in the Chinese Holstein Population by Combining with the Nordic Holstein Reference Population. Animals, 13(4), Article 636. https://doi.org/10.3390/ani13040636

Lund, P., Børsting, C. F., Albrektsen, R., Nielsen, O.-K. & Villumsen, T. M., (2023). Input til udledningspostnotat om malkekvægs fordøjelse, No. 2023-0504452, 10 p., May 01, 2023.

Boerner, V., Nguyen, T. T. T. & Nieuwhof, G. J. (2023). Integration of Interbull's multiple across-country evaluation approach breeding values into the multiple-trait single-step random regression test-day genetic evaluation for yield traits of Australian Red breeds. Journal of Dairy Science, 106(2), 1159-1167. https://doi.org/10.3168/jds.2022-21816

Liu, C., Huang, R., Su, G., Hou, L., Zhou, W., Liu, Q., Qiu, Z., Zhao, Q. & Li, P. (2023). Introgression of pigs in Taihu Lake region possibly contributed to the improvement of fertility in Danish Large White pigs. BMC Genomics, 24(1), Article 733. https://doi.org/10.1186/s12864-023-09860-x

Sahana, G., Cai, Z., Sanchez, M. P., Bouwman, A. C. & Boichard, D. (2023). Invited review: Good practices in genome-wide association studies to identify candidate sequence variants in dairy cattle. Journal of Dairy Science, 106(8), 5218-5241. https://doi.org/10.3168/jds.2022-22694

Berrandou, T.-E., Balding, D. & Speed, D. (2023). LDAK-GBAT: Fast and powerful gene-based association testing using summary statistics. American Journal of Human Genetics, 110(1), 23-29. https://doi.org/10.1016/j.ajhg.2022.11.010

Li, J., Zhao, T., Guan, D., Pan, Z., Bai, Z., Teng, J., Zhang, Z., Zheng, Z., Zeng, J., Zhou, H., Fang, L. & Cheng, H. (2023). Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits. Cell Genomics, 3(10), Article 100390. https://doi.org/10.1016/j.xgen.2023.100390

Sahana, J., Cortés-Sánchez, J. L., Sandt, V., Melnik, D., Corydon, T. J., Schulz, H., Cai, Z., Evert, K., Grimm, D. & Wehland, M. (2023). Long-Term Simulation of Microgravity Induces Changes in Gene Expression in Breast Cancer Cells. International Journal of Molecular Sciences , 24(2), Article 1181. https://doi.org/10.3390/ijms24021181

Guo, X., Sarup, P., Jahoor, A., Jensen, J. & Christensen, O. F. (2023). Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley. Genetics Selection Evolution, 55(1), Article 61. https://doi.org/10.1186/s12711-023-00835-w

Hellwing, A. L. F., Vestergaard, M. & Kargo, M. (2023). Methane emission from purebred Holstein, Nordic Red and F1 crossbred cows of the two breeds. In Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science (pp. 937-937). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

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

Boggio, G. M., Christensen, O. F., Legarra, A., Meynadier, A. & Marie-Etancelin, C. (2023). Microbiability of milk composition and genetic control of microbiota effects in sheep. Journal of Dairy Science, 106(9), 6288-6298. https://doi.org/10.3168/jds.2022-22948

Clasen, J. B., Fikse, W. F., Su, G. & Karaman, E. (2023). Multibreed genomic prediction using summary statistics and a breed-origin-of-alleles approach. Heredity, 131(1), 33-42. https://doi.org/10.1038/s41437-023-00619-4

Tao, K., Thorsgaard Jensen, I., Zhang, S., Villa Rodríguez, E. D., Blahovska, Z., Salomonsen, C. L., Martyn, A., Björgvinsdóttir, Þ. N., Kelly, S., Janss, L., Glasius, M., Waagepetersen, R. & Radutoiu, S. (2023). Nitrogen source and Nod factor signaling map out the assemblies of Lotus japonicus root bacterial communities.

Stephansen, R. B., Martin, P., Manzanilla-Pech, C. I. V., Gredler-Grandl, B., Sahana, G., Madsen, P., Weigel, K., Tempelman, R. J., Peñagaricano, F., Gaddis, K. L. P., White, H. M., Santos, J. E. P., Koltes, J. E., Schenkel, F., Hailemariam, D., Plastow, G., Abdalla, E., VandeHaar, M., Veerkamp, R. F. ... Lassen, J. (2023). Novel genetic parameters for genetic residual feed intake in dairy cattle using time series data from multiple parities and countries in North America and Europe. Journal of Dairy Science, 106(12), 9078-9094. https://doi.org/10.3168/jds.2023-23330, https://doi.org/10.3168/jds.2023-23330

Friggens, N. C., Ithurbide, M. & Bouquet, A. E. R. (2023). Novel traits related to productive life. Abstract from 45th ADSA Discover Conference, Itasca, Illinois, United States.

Bouquet, A. E. R., Nielsen, H. M., Milkevych, V., Kargo, M., Thomasen, J. R. & Slagboom, M. (2023). Optimizing dairy cattle breeding goals to improve production and udder health of crossbred cows. In Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science Wageningen Academic Publishers.

Jiang, Y. F., Wang, S., Wang, C. L., Xu, R. H., Wang, W. W., Jiang, Y., Wang, M. S., Jiang, L., Dai, L. H., Wang, J. R., Chu, X. H., Zeng, Y. Q., Fang, L. Z., Wu, D. D., Zhang, Q. & Ding, X. D. (2023). Pangenome obtained by long-read sequencing of 11 genomes reveal hidden functional structural variants in pigs. iScience, 26(3), Article 106119. https://doi.org/10.1016/j.isci.2023.106119

Schoeler, T., Speed, D., Porcu, E., Pirastu, N., Pingault, J. B. & Kutalik, Z. (2023). Participation bias in the UK Biobank distorts genetic associations and downstream analyses. Nature Human Behaviour, 7(7), 1216-1227. https://doi.org/10.1038/s41562-023-01579-9

Londhe, D. S., Katpatal, Y. B. & Bokde, N. D. (2023). Performance Assessment of Bias Correction Methods for Precipitation and Temperature from CMIP5 Model Simulation. Applied Sciences (Switzerland), 13(16), Article 9142. https://doi.org/10.3390/app13169142

Zhou, R., Yu, X., Rosenqvist, E. & Ottosen, C. O. (2023). Physiological and genetic studies inspired insights into tomato responding to multiple abiotic stresses. Acta Horticulturae, (1372), 1-7. https://doi.org/10.17660/ActaHortic.2023.1372.1

Kristensen, P. S., Sarup, P., Fé, D., Orabi, J., Snell, P., Ripa, L., Mohlfeld, M., Chu, T. T., Herrström, J., Jahoor, A. & Jensen, J. (2023). Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental lines of hybrid rye and sugar beet. Frontiers in Plant Science, 14, Article 1193433. https://doi.org/10.3389/fpls.2023.1193433

Stephansen, R. B., Manzanilla Pech, C. I. V., Gebreyesus, G., Sahana, G. & Lassen, J. (2023). Prediction of body condition in Jersey dairy cattle from 3D images using machine learning techniques. Abstract from ICAR 2023, Toledo, Spain. https://www.icar.org/wp-content/uploads/2024/01/ICAR-Technical-Series-27-Toledo-2023-Proceedings.pdf

Stephansen, R. B., Manzanilla Pech, C. I. V., Gebreyesus, G., Sahana, G. & Lassen, J. (2023). Prediction of body condition in Jersey dairy cattle from 3D-images using machine learning techniques. Journal of Animal Science, 101, Article skad376. https://doi.org/10.1093/jas/skad376

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Jette Odgaard Villemoes