Publications

Peer-reviewed publications at QGG

Kristensen, P. S., Larsen, A. S., Deneken, G. & Nielsen, B. (2024). Cultivar mixtures in wheat. Poster session presented at QGG Breeding Network Day, Aarhus, Denmark.

Nielsen, H. M., Hansen, L. S., Gebreyesus, G., Sahana, G., Zaalberg, R. M., Kargo, M., Slagboom, M., Noer, N. K., Schou, T. M., Jensen, K., Sørensen, J. G., Laursen, S. F., Bahrndorff, S. & Kristensen, T. N. (2024). Danish initiatives in selective breeding in insects. 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

Hansen, L. S., Laursen, S. F., Bahrndorff, S., Kargo, M., Sørensen, J. G., Sahana, G., Nielsen, H. M. & Kristensen, T. N. (2024). Dataset: Estimation of genetic parameters for the implementation of selective breeding in commercial insect production. Dataset, Dryad Digital Repository. https://doi.org/10.5061/dryad.kwh70rzc5

Rachah, A., Løvendahl, P., Reksen, O. & Kielland, C. (2024). Data visualization techniques for the identification of missing values in dairy farming. In Y. Belhamadia & M. Seaid (Eds.), PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (1 ed., Vol. 3034). AIP Publishing LLC. https://doi.org/10.1063/5.0195158

Sahana, G. & Cai, Z. (2024). Decoding the Genetic Dialogue: Rumen Microbiome and Host Genome Interaction in Enteric Methane Emission. In Book of Abstracts of the 75 th Annual Meeting of the European Federation of Animal Science (pp. 655-655). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

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

Nielsen, H. M., Thomassen, J. R., Østergaard, S., Sørensen, L. P. & Kargo, M. (2024). Economic values for organic dairy cattle production systems in Denmark. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 177-177). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Mukherjee, A., Cai, Z. & Mukherjee, S. (2024). Editorial: Application of genomics in livestock populations under selection or conservation. Frontiers in Genetics, 15, Article 1363839. https://doi.org/10.3389/fgene.2024.1363839

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

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

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

Degalez, F., Charles, M., Foissac, S., Zhou, H., Guan, D., Fang, L., Klopp, C., Allain, C., Lagoutte, L., Lecerf, F., Acloque, H., Giuffra, E., Pitel, F. & Lagarrigue, S. (2024). Enriched atlas of lncRNA and protein-coding genes for the GRCg7b chicken assembly and its functional annotation across 47 tissues. Scientific Reports, 14(1), Article 6588. https://doi.org/10.1038/s41598-024-56705-y

Stephansen, R. B., Gebreyesus, G., Sahana, G. & Lassen, J. (2024). Ensemble Learner Enhances Prediction Accuracies for Extreme Body Condition Classes in Jersey Dairy Cattle in a 3D Image High-Throughput System. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 399). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

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

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

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, L. S., Laursen, S. F., Bahrndorff, S., Kargo, M., Sørensen, J. G., Sahana, G., Nielsen, H. M. & Kristensen, T. N. (2024). Estimation of genetic parameters for the implementation of selective breeding in commercial insect production. Genetics, selection, evolution : GSE, 56(1), 21. Article 21. https://doi.org/10.1186/s12711-024-00894-7

Olesen, J. E., Lund, P., Feilberg, A., Villumsen, T. M., Kristensen, H. L., Winding, A., Zak, D. H., Andersen, M. N., Lærke, P. E., Petersen, S. O., Elsgaard, L., Jensen, J. L., Eriksen, J., Munkholm, L. J., Nørgaard, J. V., Weisbjerg, M. R., Børsting, C. F., Kristensen, N. B., Østergaard, S. ... Poulsen, N. A. (2024). Estimering af videns- og finansieringsbehov for opnåelse af klimamål i 2030. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Liu, H., Christensen, O. F., Byskov, K., Eiríksson, J. H., Milkevych, V., Thomasen, J. R. & Karaman, E. (2024). Evaluating different software and methodologies for tracing breed origin of alleles in crossbred dairy cattle.

Bai, Z., Gholipourshahraki, T., Shrestha, M., Hjelholt, A., Hu, S., Kjolby, M., Rohde, P. D. & Sørensen, P. (2024). Evaluation of Bayesian Linear Regression derived gene set test methods. BMC Genomics, 25(1), Article 1236. https://doi.org/10.1186/s12864-024-11026-2

Gholipourshahraki, T., Bai, Z., Shrestha, M., Hjelholt, A., Hu, S., Kjolby, M., Rohde, P. D. & Sørensen, P. (2024). Evaluation of Bayesian Linear Regression models for gene set prioritization in complex diseases. PLoS Genetics, 20(11), Article e1011463. https://doi.org/10.1371/journal.pgen.1011463

Thomasen, J. R., Hjortø, L., Byskov, K., Bouquet, A. E. R. & Fogh, A. (2024). Experiences and future expectations for breeding programs targeting beef on dairy production systems. In Teagasc | Dairy Calf-to-Beef Conference 2024 Proceedings (pp. 80-82) https://www.teagasc.ie/media/website/publications/2024/Dairy-Calf-to-Beef-Conference-Proceedings.pdf

Giagnoni, G., Lassen, J., Lund, P., Foldager, L., Johansen, M. & Weisbjerg, M. R. (2024). Feed intake in housed dairy cows: validation of a three-dimensional camera−based feed intake measurement system. Animal, 18(6), Article 101178. https://doi.org/10.1016/j.animal.2024.101178

Olesen, J. E., Andersen, M. N., Lund, P., Feilberg, A., Villumsen, T. M., Kristensen, H. L., Nielsen, O.-K., Zak, D. H., Lærke, P. E., Nørgaard, J. V., Kidmose, U., Jensen, M., Mogensen, L. & Knudsen, M. T. (2024). Finansieringsbehov til afdækning af centrale vidensbehov for en mere klimavenlig landbrugsproduktion. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

Sahana, G., Gebreyesus, G., Cheruiyot Bett , R., Kinyua, J., Roos, N., MBI Tanga, C., Mwikirize, C., Akol, R., Khamis, F. M., Karstoft, H., Bjerge, K., Nkirote Kunyanga , C., Hansen, L. S., Nielsen, H. M., Lund, M. S., Geoffrey, S., Walusimbi, S. & Nakimbugwe, D. (2024). FLYgene: Advancing Sustainable Breeding Programs and Genomic Tools for Black Soldier Fly (Hermetia illucens) in Kenya and Uganda. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 633-633) https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Gebreyesus, G., Secher, J. B., Lund, M. S., Kupisiewicz, K., Ivask, M., Hallap, T., Pärn, P. & Su, G. (2024). Genetic parameters for bull effects on in vitro embryo production (IVP) and relationship between semen quality traits and IVP performance. Animal Reproduction Science, 263, 107436. Article 107436. https://doi.org/10.1016/j.anireprosci.2024.107436

Georgalas, M. D., Hansen, L. S., Laursen, S. F., Bahrndorff, S., Sørensen, J. G., Kargo, M., Kristensen, T. N., Guldbrandtsen, B. & Nielsen, H. M. (2024). Genetic parameters for house fly larval performance in two dietary environments. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 634-634). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Lajevardi, R. K., Sahana, G., Manzanilla-Pech, C., Løvendahl, P. & Villumsen, T. M. (2024). Genetic parameters of Methane emission in Danish Jersey dairy cows. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 689-689). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Gredler-Grandl, B., Finocchiaro, R., Benzoni, L., Baes, C. F., Pryce, J. E., Stephansen, R. B., Bakke, K., Lassen, J., Frizzarin, M., Krattenmacher, N. & Richardson, C. (2024). Genetic selection for lower methane emission in dairy cattle – ready for implementation? In ICAR 2024 Proceedings

Kristensen, P. S., Larsen, A. S., Deneken, G. & Nielsen, B. (2024). Genetics of wheat cultivar mixtures. Poster session presented at 7th International Conference of Quantitative Genetics, Wien, Austria.

Zheng, S. L., Henry, A., Cannie, D., Lee, M., Miller, D., McGurk, K. A., Bond, I., Xu, X., Issa, H., Francis, C., De Marvao, A., Theotokis, P. I., Buchan, R. J., Speed, D., Abner, E., Adams, L., Aragam, K. G., Ärnlöv, J., Raja, A. A. ... COVIDsortium (2024). Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy. Nature Genetics, 56(12), 2646-2658. Article 2254. https://doi.org/10.1038/s41588-024-01952-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

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

Stephansen, R. B., Lassen, J., Thorup, V. M., Poulsen, B. G., Jensen, J., Sahana, G. & Christensen, O. F. (2024). Genomic Prediction of Genetic Residual Feed Intake Integrating a Novel Energy Sink for Change in Body Reserves. In Proceedings of the 2024 Interbull Meeting Swedish University of Agricultural Sciences. https://journal.interbull.org/index.php/ib/article/view/1927

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

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

Brulin , L., Sanchez, M. P., Cai, Z., Ducrocq, S., Even, G., Martel, S., Merlin, S., Audebert, C., Estellé, J., Sahana, G. & Croiseau, P. (2024). Host genes shape the lower gut microbiota of Holstein cows: evidence from sequence-based GWAS. In EAAP 2024 Book of Abstracts (pp. 654). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

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

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

Ollivier, R. & Asp, T. (2024). Identification of the genetic bases conferring stem rust resistance in perennial ryegrass. Poster session presented at Nordic Conference on Genetic Resources – Possibilities and Urgency, Malmö, Sweden.

Tenhunen, S. R., Berg, P., Kargo, M., Sørensen, L. P. & Thomasen, J. R. (2024). Impact of Genomic Selection on Inbreeding and Coancestry in Nordic Dairy Cattle. In T. Puhakainen & V. Jokela (Eds.), Maataloustieteen Päivät 2024 10.–11.1.2024 Viikki, Helsinki: ESITELMÄ- JA POSTERI-TIIVISTELMÄT (pp. 43)

Tenhunen, S. R., Thomassen, J. R., Sørensen, L. P., Berg, P., Kargo, M. & Nielsen, H. M. (2024). Impact of Inbreeding on Dairy Cow Survival. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 940-940). EAAP. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

Karaman, E., Cai, Z., Chegini, A., Lidauer, M., Moreira, G. C. M., Chitneedi, P. K., consortium, T. B. & Janss, L. (2024). Incorporating prior biological information into genomic predictions: An example from mastitis in Danish Jersey and Nordic Red cattle. 30-31. https://icqg2024.pages.ist.ac.at/wp-content/uploads/sites/268/2024/08/7th-International-Conference-of-Quantitative-Genetics-Abstract-Book.pdf

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

Gebreyesus, G., Nawoya, S., Ssemakula, F., Karstoft, H., Bjerge, K., Kunyanga, C. N., Mwikirize, C., Akol, R., Katumba, A., Nakimbugwe, D. & Geissmann, Q. (2024). Innovative phenotyping systems to advance selective breeding in black soldier fly: status from the FlyGene project. Journal of Insects as Food and Feed, 10(Supplement 1 (2024) S1–S353), S250. Article Volume 10, Supplement 1 (2024). https://doi.org/10.1163/23524588-20241013

Sahana, G., Chia, S. Y., Beesigamukama, D., Ng'ang'a, J., MBI Tanga, C., Kinyua, J., Ayieko, M., Nakimbugwe, D., Cheruiyot Bett , R., Menaga, M., Konyole, S., Anankware, J., Nyeko, P., Niassy, S., Kinyuru, J. N., Gebreyesus, G. & Roos, N. (2024). Insects for the Green Economy Conference (IGEC). https://doi.org/10.5281/zenodo.12605312

Friedrich, J., Liu, S., Fang, L., Prendergast, J. & Wiener, P. (2024). Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle. BMC Genomics, 25(1), Article 981. https://doi.org/10.1186/s12864-024-10852-8

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

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

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.

Bordbar, F., Jensen, J., Wadood, A. A. & Yao, Z. (2024). Linkage Disequilibrium Decay in Selected Cattle Breeds. Animals, 14(22), Article 3317. https://doi.org/10.3390/ani14223317

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

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

Cai, Z., Iso-Touru, T., Sanchez, M.-P., Kadri, N., Bouwman, A. C., Chitneedi, P. K., MacLeod, I. M., Vander Jagt, C. J., Chamberlain, A. J., Gredler-Grandl, B., Spengeler, M., Lund, M. S., Boichard, D., Kühn, C., Pausch, H., Vilkki, J. & Sahana, G. (2024). Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance. Genetics, selection, evolution : GSE, 56(1), Article 54. https://doi.org/10.1186/s12711-024-00920-8

Hein, L., Clasen, J., Vestergaard, M. & Kargo, M. (2024). Milk yield, weight gain, feed intake, and feed efficiency in second lactation Holstein x Red Dairy Cattle F1 crossbreds compared to Holstein and Red Dairy Cattle. 301. Abstract from 75th EAAP Annual Meeting, Florence, Italy. https://docs.eaap.org/boa/2024_Florence_EAAP_Book_Abstracts.pdf

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

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

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), Article 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 from The 75th EAAP Annual Meeting, Florence, Italy. 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), Article 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, No. 2024-0666449, 15 p., 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), Article 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. In Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (pp. 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 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

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 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

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

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

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

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 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

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. In EAAP 2024 Book of Abstracts (pp. 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. In Proceedings of the 2024 Interbull Meeting (pp. 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 from AI and Biology, Heidelberg, Germany.

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 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

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

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. & 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

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Jette Odgaard Villemoes