Publications

Peer-reviewed publications at QGG

2024

Contribution to journal

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

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-A review. Entomologia Experimentalis et Applicata. https://doi.org/10.1111/eea.13526

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

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 November), Article e1011463. https://doi.org/10.1371/journal.pgen.1011463

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

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

Faress, I., Khalil, V., Hou, W. H., Moreno, A., Andersen, N., Fonseca, R., Piriz, J., Capogna, M. & Nabavi, S. (2024). Non-Hebbian plasticity transforms transient experiences into lasting memories. eLife, 12, Article RP91421. https://doi.org/10.7554/eLife.91421

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

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

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

Chen, S., Liu, S., Shi, S., Yin, H., Tang, Y., Zhang, J., Li, W., Liu, G., Qu, K., Ding, X., Wang, Y., Liu, J., Zhang, S., Fang, L. & Yu, Y. (2024). Cross-Species Comparative DNA Methylation Reveals Novel Insights into Complex Trait Genetics among Cattle, Sheep, and Goats. Molecular Biology and Evolution, 41(2), Article msae003. https://doi.org/10.1093/molbev/msae003

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

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

Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N. C., Kargo, M. & Puillet, L. (2024). Combined mechanistic and genetic modelling to benchmark body reserve traits as proxies of dairy cows’ lifetime efficiency in grass-based production systems. Animal, 18(1), Article 101035. https://doi.org/10.1016/j.animal.2023.101035

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

2023

Working Paper

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

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.

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

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

2023

Other contribution

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.

2023

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.

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

2023

Contribution to conference

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

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.

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

Slagboom, M., Nielsen, H. M., Kargo, M., Henryon, M. & Hansen, L. S. (2023). Simulating breeding programs based on mass selection in black soldier fly (Hermetia illucens). Abstract from
74th Annual Meeting of European Federation of Animal Science, Lyon, France.

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.

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.

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.

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

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.

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.

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.

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.

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

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.

2023

Contribution to book anthology

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

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

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.

Saedi, N., Lund, M. S. & Karaman, E. (2023). Using genomic markers and microbiome data to predict methane emissions from Holstein cows. 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

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

Hein, L., Thomasen, J. R., Kargo, M., Nielsen, H. M., Bouquet, A. E. R., Dahl, M. & Liu, H. (2023). The value of increased heterozygosity in dairy cattle. In Proceedings of the 2023 Interbull Meeting https://journal.interbull.org/index.php/ib/article/view/1902

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

2023

Book anthology

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

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

Sørensen, J. T. (Ed.), Jensen, M. B., Thomsen, P. T., Kongsted, H., Pedersen, L. J., Riber, A. B., Kargo, M., Hein, L., Villumsen, T. M., Manzanilla Pech, C. I. V., Buitenhuis, A. J. & Christensen, O. F. (2023). Samspil mellem klima, miljø og dyrevelfærd: En vurdering af konsekvenser for dyrevelfærden af tiltag på besætningsniveau til reduktion af husdyrproduktionens klima- og miljøpåvirkning. DCA - Nationalt Center for Fødevarer og Jordbrug. DCA rapport No. 222 https://dcapub.au.dk/djfpublikation/djfpdf/DCArapport222.pdf

2023

Contribution to journal

Persichilli, C., Karaman, E., Finocchiaro, R., Pilla, F., Fabris, A., Visentin, G. & Cassandro, M. (2023). Study of fertility traits in Italian Jersey Cattle. Italian Journal of Animal Science, 22(sup1), 41. Article 0563. https://aspacongress2023.com/wp-content/uploads/2023/06/ASPA-25th-Congress-Book-of-Abstract_compressed.pdf

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

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

Zhao, P., Peng, C., Fang, L., Wang, Z. & Liu, G. E. (2023). Taming transposable elements in livestock and poultry: a review of their roles and applications. Genetics Selection Evolution, 55(1), Article 50. https://doi.org/10.1186/s12711-023-00821-2

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

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

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

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

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

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

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

Zhao, P., Gu, L., Gao, Y., Pan, Z., Liu, L., Li, X., Zhou, H., Yu, D., Han, X., Qian, L., Liu, G. E., Fang, L. & Wang, Z. (2023). Young SINEs in pig genomes impact gene regulation, genetic diversity, and complex traits. Communications Biology, 6(1), Article 894. https://doi.org/10.1038/s42003-023-05234-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

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

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

Wang, X., Gao, Y., Li, C. J., Fang, L., Liu, G. E., Zhao, X., Zhang, Y., Cai, G., Xue, G., Liu, Y., Wang, L., Zhang, F., Wang, K., Zhang, M., Li, R., Gao, Y. & Li, J. (2023). The single-cell transcriptome and chromatin accessibility datasets of peripheral blood mononuclear cells in Chinese holstein cattle. BMC Genomic Data, 24(1), Article 39. https://doi.org/10.1186/s12863-023-01139-0

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

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

Thorup, V. M., Munksgaard, L., Terré, M., Henriksen, J. C. S., Weisbjerg, M. R. & Lovendahl, P. (2023). The relationship between feed efficiency and behaviour differs between lactating Holstein and Jersey cows. Journal of Dairy Research, 90(3), 257-260. https://doi.org/10.1017/S0022029923000420

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

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

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

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

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

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

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

Salunke, S., Shrivastava, A. K., Hashmi, M. F., Ahuja, B. & Bokde, N. D. (2023). Quad Key-Secured 3D Gauss Encryption Compression System with Lyapunov Exponent Validation for Digital Images. Applied Sciences (Switzerland), 13(3), Article 1616. https://doi.org/10.3390/app13031616

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

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

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

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

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

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

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

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

Nielsen, B., Horndrup, L. V., Turner, S. P., Christensen, O. F., Nielsen, H. M. & Ask, B. (2023). Selection for social genetic effects in purebred pigs improves behaviour and handling of their crossbred progeny. Genetics, selection, evolution : GSE, 55(1), 54. Article 54. https://doi.org/10.1186/s12711-023-00828-9

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

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

Long, E. M., Romay, M. C., Ramstein, G., Buckler, E. S. & Robbins, K. R. (2023). Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassava. Frontiers in Plant Science, 13, Article 1041925. https://doi.org/10.3389/fpls.2022.1041925

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

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

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

Liu, T., Nielsen, B., Christensen, O. F., Lund, M. S. & Su, G. (2023). The impact of genotyping strategies and statistical models on accuracy of genomic prediction for survival in pigs. Journal of Animal Science and Biotechnology, 14(1), Article 1. https://doi.org/10.1186/s40104-022-00800-5

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

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

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

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

Jayakodi, M., Golicz, A. A., Kreplak, J., Fechete, L. I., Angra, D., Bednář, P., Bornhofen, E., Zhang, H., Boussageon, R., Kaur, S., Cheung, K., Čížková, J., Gundlach, H., Hallab, A., Imbert, B., Keeble-Gagnère, G., Koblížková, A., Kobrlová, L., Krejčí, P. ... Andersen, S. U. (2023). The giant diploid faba genome unlocks variation in a global protein crop. Nature, 615(7953), 652-659. https://doi.org/10.1038/s41586-023-05791-5

Jain, S. K., Bhatia, R., Shrivastava, N., Salunke, S., Hashmi, M. F. & Bokde, N. D. (2023). Virtual Grid-Based Routing for Query-Driven Wireless Sensor Networks. Future Internet, 15(8), Article 259. https://doi.org/10.3390/fi15080259

Hsu, Y. H. H., Pintacuda, G., Liu, R., Nacu, E., Kim, A., Tsafou, K., Petrossian, N., Crotty, W., Suh, J. M., Riseman, J., Martin, J. M., Biagini, J. C., Mena, D., Ching, J. K. T., Malolepsza, E., Li, T., Singh, T., Ge, T., Egri, S. B. ... Wellcome Trust Case Control Consortium (2023). Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia. iScience, 26(5), Article 106701. https://doi.org/10.1016/j.isci.2023.106701

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

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