Chu, T. T., Kristensen, P. S. & Jensen, J. (2024). Correction to: Simulation of functional additive and non-additive genetic effects using statistical estimates from quantitative genetic models (Heredity, (2024), 133, 1, (33-42), 10.1038/s41437-024-00690-5). Heredity, 133(5), 369. https://doi.org/10.1038/s41437-024-00725-x

Hong, Z. & Bofill-De Ros, X. (2024). Metabolism of tRNAs and rRNAs shape immunoactive signatures in chronic obstructive pulmonary disease and pulmonary infections. Molecular Therapy Nucleic Acids, 35(3), Article 102298. https://doi.org/10.1016/j.omtn.2024.102298

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, 241-245. https://doi.org/10.1007/s10877-024-01128-3

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), Article 101268. https://doi.org/10.1016/j.animal.2024.101268

Nawoya, S., Ssemakula, F., Akol, R., Geissmann, Q., Karstoft, H., Bjerge, K., Mwikirize, C., Katumba, A. & Gebreyesus, G. (2024). Computer vision and deep learning in insects for food and feed production: A review. Computers and Electronics in Agriculture, 216, Article 108503. https://doi.org/10.1016/j.compag.2023.108503

Zhao, F., Xie, R., Fang, L., Xiang, R., Yuan, Z., Liu, Y. & Wang, L. (2024). Analysis of 206 whole-genome resequencing reveals selection signatures associated with breed-specific traits in Hu sheep. Evolutionary Applications, 17(6), Article e13697. https://doi.org/10.1111/eva.13697

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

Zaalberg, R. M., Nielsen, H. M., Noer, N. K., Schou, T. M., Jensen, K., Thormose, S., Kargo, M. & Slagboom, M. (2024). A bio-economic model for estimating economic values of important production traits in the black soldier fly (Hermetia illucens). Journal of Insects as Food and Feed, 10(8), 1411-1421. https://doi.org/10.1163/23524588-00001126

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

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

Yang, H., Yang, L., Qian, J., Xu, L., Lin, L. & Su, G. (2024). Information of Growth Traits Is Helpful for Genetic Evaluation of Litter Size in Pigs. Animals, 14(18), Article 2669. https://doi.org/10.3390/ani14182669

Yang, L., Yin, H., Bai, L., Yao, W., Tao, T., Zhao, Q., Gao, Y., Teng, J., Xu, Z., Lin, Q., Diao, S., Pan, Z., Guan, D., Li, B., Zhou, H., Zhou, Z., Zhao, F., Wang, Q., Pan, Y. ... Liu, G. E. (2024). Mapping and functional characterization of structural variation in 1060 pig genomes. Genome Biology, 25(1), Article 116. https://doi.org/10.1186/s13059-024-03253-3

Westwood, M. L., Geissmann, Q., O'Donnell, A. J., Rayner, J., Schneider, W., Zuk, M., Bailey, N. W. & Reece, S. E. (2024). Machine learning reveals singing rhythms of male Pacific field crickets are clock controlled. Behavioral Ecology, 35(1), Article arad098. https://doi.org/10.1093/beheco/arad098

Wang, A., Su, G., Brito, L. F., Zhang, H., Shi, R., Liu, D., Guo, G. & Wang, Y. (2024). Investigating the relationship between fluctuations in daily milk yield as resilience indicators and health traits in Holstein cattle. Journal of Dairy Science, 107(3), 1535-1548. https://doi.org/10.3168/jds.2023-23495

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

Tilhou, N. W., Lee, D. K., Ramstein, G. P., Poudel, H. P., Edme, S. J. & Casler, M. D. (2024). Empirical comparison of genomic selection to phenotypic selection for biomass yield of switchgrass. Agronomy Journal, 116(5), 2318-2327. https://doi.org/10.1002/agj2.21639

Tessema, B. B., Raffo, M. A., Guo, X., Svane, S. F., Krusell, L., Jensen, J. D., Ruud, A. K., Malinowska, M., Thorup-Kristensen, K. & Jensen, J. (2024). Genomic prediction for root and yield traits of barley under a water availability gradient: a case study comparing different spatial adjustments. Plant Methods, 20(1), Article 8. https://doi.org/10.1186/s13007-023-01121-y

Tenhunen, S., Thomasen, J. R., Sørensen, L. P., Berg, P. & Kargo, M. (2024). Genomic Analysis of Inbreeding and Coancestry in Nordic Jersey and Holstein Dairy Cattle Populations. Journal of Dairy Science, 107(8), 5897-5912. https://doi.org/10.3168/jds.2023-24553

The PigGTEx Consortium (2024). A compendium of genetic regulatory effects across pig tissues. Nature Genetics, 56(1), 112-123. https://doi.org/10.1038/s41588-023-01585-7

Tao, H., Abba, S. I., Al-Areeq, A. M., Tangang, F., Samantaray, S., Sahoo, A., Siqueira, H. V., Maroufpoor, S., Demir, V., Dhanraj Bokde, N., Goliatt, L., Jamei, M., Ahmadianfar, I., Bhagat, S. K., Halder, B., Guo, T., Helman, D. S., Ali, M., Sattar, S. ... Yaseen, Z. M. (2024). Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions. Engineering Applications of Artificial Intelligence, 129, Article 107559. https://doi.org/10.1016/j.engappai.2023.107559

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), Article 3436. https://doi.org/10.1038/s41467-024-47752-0

Tang, Y., Zhang, J., Li, W., Liu, X., Chen, S., Mi, S., Yang, J., Teng, J., Fang, L. & Yu, Y. (2024). Identification and characterization of whole blood gene expression and splicing quantitative trait loci during early to mid-lactation of dairy cattle. BMC Genomics, 25(1), Article 445. https://doi.org/10.1186/s12864-024-10346-7

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), Article 8890. https://doi.org/10.3390/ijms25168890

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

Speed, D. & Evans, D. M. (2024). Estimating disease heritability from complex pedigrees allowing for ascertainment and covariates. American Journal of Human Genetics, 111(4), 680-690. https://doi.org/10.1016/j.ajhg.2024.02.010

Song, H., Chu, J., Li, W., Li, X., Fang, L., Han, J., Zhao, S. & Ma, Y. (2024). A Novel Approach Utilizing Domain Adversarial Neural Networks for the Detection and Classification of Selective Sweeps. Advanced Science, 11(14), Article 2304842. https://doi.org/10.1002/advs.202304842

Smith, A. G., Malinowska, M., Ruud, A. K., Janss, L., Krusell, L., Jensen, J. D. & Asp, T. (2024). Automated seminal root angle measurement with corrective annotation. AoB Plants, 16(5), Article plae046. https://doi.org/10.1093/aobpla/plae046

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(71), Article 71. https://doi.org/10.1186/s12711-024-00938-y

Singh, V., Itoh, Y., Del’Olio, S., Hassan, A., Naschberger, A., Flygaard, R. K., Nobe, Y., Izumikawa, K., Aibara, S., Andréll, J., Whitford, P. C., Barrientos, A., Taoka, M. & Amunts, A. (2024). Mitoribosome structure with cofactors and modifications reveals mechanism of ligand binding and interactions with L1 stalk. Nature Communications, 15(1), Article 4272. https://doi.org/10.1038/s41467-024-48163-x

Shewale, A., Mokhade, A., Lipare, A. & Bokde, N. D. (2024). Efficient Techniques for Residential Appliances Scheduling in Smart Homes for Energy Management Using Multiple Knapsack Problem. Arabian Journal for Science and Engineering, 49(3), 3793-3813. https://doi.org/10.1007/s13369-023-08178-w

Sharif-Islam, M., van der Werf, J. H. J., Henryon, M., Chu, T. T., Wood, B. J. & Hermesch, S. (2024). Genotyping both live and dead animals to improve post-weaning survival of pigs in breeding programs. Genetics Selection Evolution, 56(1), Article 65. https://doi.org/10.1186/s12711-024-00932-4

GBD 2021 Demographics Collaborators (2024). Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403(10440), 1989-2056. https://doi.org/10.1016/S0140-6736(24)00476-8

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

Rybiczka-Tešulov, M., Garritsen, O., Venø, M. T., Wieg, L., Dijk, R. V., Rahimi, K., Gomes-Duarte, A., Wit, M. D., van de Haar, L. L., Michels, L., van Kronenburg, N. C. H., van der Meer, C., Kjems, J., Vangoor, V. R. & Pasterkamp, R. J. (2024). Circular RNAs regulate neuron size and migration of midbrain dopamine neurons during development. Nature Communications, 15(1), Article 6773. https://doi.org/10.1038/s41467-024-51041-1

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

Rovere, G., de Los Campos, G., Gebreyesus, G., Savegnago, R. P. & Buitenhuis, A. J. (2024). Energy balance of dairy cows predicted by mid-infra-red spectra data of milk using Bayesian approaches. Journal of Dairy Science, 107(3), 1561-1576. https://doi.org/10.3168/jds.2023-23772

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

Noer, N. K., Rohde, P. D., Sørensen, P., Bahrndorff, S. & Kristensen, T. N. (2024). Diurnal variation in genetic parameters for locomotor activity in Drosophila melanogaster assessed under natural thermal conditions. Journal of Evolutionary Biology, 37(3), 336-345. https://doi.org/10.1093/jeb/voae020

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, Article 1306591. https://doi.org/10.3389/fpls.2024.1306591

Lund, P., Hojberg, O., Børsting, C. F., Nielsen, M. O., Villumsen, T. M. & Weisbjerg, M. R. (2024). Kan koen blive klimavenlig? Køer og andre drøvtyggere producerer metan, men gennem fodringsstrategier kan emissionen reduceres. Dansk Kemi, 105(2), 16-18.

Løvendahl, P., Milkevych, V., Krogh Nielsen, R., Bjerring, M., Manzanilla-Pech, C., Johansen, K., Difford, G. F. & Villumsen, T. M. (2024). A data-driven approach to the processing of sniffer-based gas emissions data from dairy cattle. Computers and Electronics in Agriculture, 227(Part 1), Article 109559. https://doi.org/10.1016/j.compag.2024.109559

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

Liu, P., Luo, N., Liu, D., Ying, F., Zhu, D., Wen, J., Zhao, G. & An, B. (2024). Integrating GWAS and transcriptomics to identify candidate genes conferring relative growth rate trait in white-feathered broiler. Poultry Science, 103(12), Article 104338. https://doi.org/10.1016/j.psj.2024.104338

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), Article e2319811121. https://doi.org/10.1073/pnas.2319811121

Legarra, A., Bermann, M., Mei, Q. & Christensen, O. F. (2024). Estimating genomic relationships of metafounders across and within breeds using maximum likelihood, pseudo-expectation-maximization maximum likelihood and increase of relationships. Genetics Selection Evolution, 56(1), 35. Article 35. https://doi.org/10.1186/s12711-024-00892-9

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

Laursen, S. F., Hansen, L. S., Bahrndorff, S., Nielsen, H. M., Sahana, G., Sørensen, J. G., Ørsted, M. & Kristensen, T. N. (2024). Genotype-by-environment interactions for mean performance and trait variation in house fly larvae reared on two diets. Entomologia Experimentalis et Applicata, 00(1-15). https://doi.org/10.1111/eea.13530

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

Johansen, K., Vestergaard, M., Spleth, P., Hein, L., Nielsen, H. M. & Kargo, M. (2024). Growth and feed efficiency of Nordic Red Dairy Cattle, Holstein, and their F1 crossbreeds when limiting feed energy concentration in prepubertal heifers. Journal of Dairy Science, 107(10), 7973-7982. https://doi.org/10.3168/jds.2024-24904

Jensen, I. T., Janss, L., Radutoiu, S. & Waagepetersen, R. (2024). Compositionally aware estimation of crosscorrelations for microbiome data. PLOS ONE, 19(6), Article e0305032. https://doi.org/10.1371/journal.pone.0305032

Jansen, N. A., Linnenbank, C., Schenke, M., Voskuyl, R. A., Jorge, M. S., Krivoshein, G., Breukel, C., Linssen, M. M., Claassens, J. W. C., Brouwers, C., van Heiningen, S. H., Heuck, A., Lykke-Hartmann, K., Tolner, E. A. & van den Maagdenberg, A. M. J. M. (2024). Spontaneous spreading depolarizations originate subcortically in a novel mouse model of familial hemiplegic migraine type 2. Neurobiology of Disease, 202, Article 106714. https://doi.org/10.1016/j.nbd.2024.106714

Houlahan, K., Schenkel, F. S., Miglior, F., Jamrozik, J., Stephansen, R. B., González-Recio, O., Charfeddine, N., Segelke, D., Butty, A. M., Stratz, P., VandeHaar, M. J., Tempelman, R. J., Weigel, K., White, H., Peñagaricano, F., Koltes, J. E., Santos, J. E. P., Baldwin, R. L. & Baes, C. F. (2024). Estimation of genetic parameters for feed efficiency traits using random regression models in dairy cattle. Journal of Dairy Science, 107(3), 1523-1534. https://doi.org/10.3168/jds.2022-23124

Hansen, S. B., Luu, T. B., Gysel, K., Lironi, D., Krönauer, C., Rübsam, H., Jensen, I. B., Tsitsikli, M., Birkefeldt, T. G., Trgovcevic, A., Stougaard, J., Radutoiu, S. & Andersen, K. R. (2024). A conserved juxtamembrane motif in plant NFR5 receptors is essential for root nodule symbiosis. Proceedings of the National Academy of Sciences of the United States of America, 121(46), e2405671121. https://doi.org/10.1073/pnas.2405671121