Publikationer

Peer-reviewed publikationer ved QGG

Sortér efter: Dato | Forfatter | Titel

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

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), Artikel 100390. https://doi.org/10.1016/j.xgen.2023.100390

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

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, Artikel 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

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

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

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

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

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

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

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. I Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science Wageningen Academic Publishers.

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), Artikel 9142. https://doi.org/10.3390/app13169142

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

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), Artikel 259. https://doi.org/10.3390/fi15080259

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. Artikel 54. https://doi.org/10.1186/s12711-023-00828-9

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

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

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

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), Artikel 48. https://doi.org/10.1186/s12711-023-00826-x

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

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

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), Artikel 50. https://doi.org/10.1186/s12711-023-00821-2

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

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

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

Bolormaa, S., Haile-Mariam, M., Marett, L., Miglior, F., Baes, C. F., Schenkel, F. S., Connor, E. E., Manzanilla Pech, C. I. V., Wall, E., Coffey, M., Goddard, M., MacLeod, I. & Pryce, J. E. (2023). Use of dry-matter intake recorded at multiple time periods during lactation increases the accuracy of genomic prediction for dry-matter intake and residual feed intake in dairy cattle. Animal Production Science, 63(11), 1113-1125. Artikel AN23022. https://doi.org/10.1071/AN23022

Wu, Y., Li, D., Hu, Y., Li, H., Ramstein, G., Zhou, S., Zhang, X., Bao, Z., Zhang, Y., Song, B., Zhou, Y., Zhou, Y., Gagnon, E., Särkinen, T., Knapp, S., Zhang, C., Städler, T., Buckler, E. S. & Huang, S. (2023). Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding. Cell, 186(11), 2313-2328.e15. https://doi.org/10.1016/j.cell.2023.04.008

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

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), Artikel 106701. https://doi.org/10.1016/j.isci.2023.106701

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

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

Lund, P., Børsting, C. F., Albrektsen, R., Nielsen, O.-K. & Villumsen, T. M., (2023). Input til udledningspostnotat om malkekvægs fordøjelse, Nr. 2023-0504452, 10 s., maj 01, 2023.

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

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

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

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

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

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), Artikel 106119. https://doi.org/10.1016/j.isci.2023.106119

Christensen, B., Buitenhuis, A. J., Jacobsen, L. N., Ostenfeld, M. S. & Sørensen, E. S. (2023). The Effect of Human and Bovine Milk Osteopontin on Intestinal Caco-2 Cells: A Transcriptome Comparison. Nutrients, 15(5), Artikel 1166. https://doi.org/10.3390/nu15051166

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

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

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

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

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

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

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

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), Artikel 636. https://doi.org/10.3390/ani13040636

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

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), Artikel 1616. https://doi.org/10.3390/app13031616

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

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

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

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

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

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), Artikel 1181. https://doi.org/10.3390/ijms24021181

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, Artikel 1041925. https://doi.org/10.3389/fpls.2022.1041925

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

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

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

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

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

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

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

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

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

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

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

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

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

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. I 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. I Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science (s. 937-937). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

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.

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

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 fra ICAR 2023, Toledo, Spanien. 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 fra
74th Annual Meeting of European Federation of Animal Science, Lyon, Frankrig.

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. Artikel 0563. https://aspacongress2023.com/wp-content/uploads/2023/06/ASPA-25th-Congress-Book-of-Abstract_compressed.pdf

Gebreyesus, G., Milkevych, V., Lassen, J. & Sahana, G. (2023). Supervised learning techniques for dairy cattle body weight prediction from 3D digital images. Frontiers in Genetics, 13, Artikel 947176. https://doi.org/10.3389/fgene.2022.947176

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), Artikel 1. https://doi.org/10.1186/s40104-022-00800-5

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. I Proceedings of the 2023 Interbull Meeting https://journal.interbull.org/index.php/ib/article/view/1902

Saedi, N., Lund, M. S. & Karaman, E. (2023). Using genomic markers and microbiome data to predict methane emissions from Holstein cows. I Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

Kotlarz, K., Kosinska-Selbi, B., Cai, Z., Sahana, G. & Szyda, J. (2022). Application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary statistics from a whole-genome association study. Genetics Selection Evolution, 54, Artikel 80. https://doi.org/10.1186/s12711-022-00771-1

Chen, S., Liu, S., Shi, S., Jiang, Y., Cao, M., Tang, Y., Li, W., Liu, J., Fang, L., Yu, Y. & Zhang, S. (2022). Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits. BMC Biology, 20(1), 273. Artikel 273. https://doi.org/10.1186/s12915-022-01459-0

Yang, W., Yu, J., Yao, Y., Chen, S., Zhao, B., Liu, S., Zhou, L., Fang, L. & Liu, J. (2022). Comparative immune-relevant transcriptome reveals the evolutionary basis of complex traits. iScience, 25(12), Artikel 105572. https://doi.org/10.1016/j.isci.2022.105572

Yao, Y., Liu, S., Xia, C., Gao, Y., Pan, Z., Canela-Xandri, O., Khamseh, A., Rawlik, K., Wang, S., Li, B., Zhang, Y., Pairo-Castineira, E., D’Mellow, K., Li, X., Yan, Z., Li, C. J., Yu, Y., Zhang, S., Ma, L. ... Tenesa, A. (2022). Comparative transcriptome in large-scale human and cattle populations. Genome Biology, 23(1), Artikel 176. https://doi.org/10.1186/s13059-022-02745-4

Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N., Kargo, M. & Puillet, L. (2022). Coupling genetic and mechanistic models to benchmark selection strategies for feed efficiency in dairy cows: sensitivity analysis validating this novel approach. Animal - Open Space, 1(1), Artikel 100017. https://doi.org/10.1016/j.anopes.2022.100017

Wang, B., Li, P., Hou, L., Zhou, W., Tao, W., Liu, C., Liu, K., Niu, P., Zhang, Z., Li, Q., Su, G. & Huang, R. (2022). Genome-wide association study and genomic prediction for intramuscular fat content in Suhuai pigs using imputed whole-genome sequencing data. Evolutionary Applications, 15(12), 2054-2066. https://doi.org/10.1111/eva.13496

Eiríksson, J. H. (2022). Genomic predictions for crossbred dairy cows. Århus Universitet.

Joergensen, D., Madsen, P., Ropstad, E. O. & Lingaas, F. (2022). Heritability estimates of distichiasis in Staffordshire bull terriers using pedigrees and genome-wide SNP data. Acta Veterinaria Scandinavica , 64(1), Artikel 30. https://doi.org/10.1186/s13028-022-00650-1

Kingsley, N. B., Sandmeyer, L., Norton, E. M., Speed, D., Dwyer, A., Lassaline, M., McCue, M. & Bellone, R. R. (2022). Heritability of insidious uveitis in Appaloosa horses. Animal Genetics, 53(6), 872-877. https://doi.org/10.1111/age.13267

Martinez Boggio, G., Meynadier, A., Buitenhuis, A. J. & Marie-Etancelin, C. (2022). Host genetic control on rumen microbiota and its impact on dairy traits in sheep. Genetics, selection, evolution : GSE, 54(1), Artikel 77. https://doi.org/10.1186/s12711-022-00769-9

Cai, Z., Christensen, O. F., Lund, M. S., Ostersen, T. & Sahana, G. (2022). Large-scale association study on daily weight gain in pigs reveals overlap of genetic factors for growth in humans. BMC Genomics, 23, Artikel 133. https://doi.org/10.1186/s12864-022-08373-3

Bornhofen, E., Fè, D., Lenk, I., Greve, M., Didion, T., Jensen, C. S., Asp, T. & Janss, L. (2022). Leveraging spatiotemporal genomic breeding value estimates of dry matter yield and herbage quality in ryegrass via random regression models. The Plant Genome, 15(4), Artikel e20255. https://doi.org/10.1002/tpg2.20255

Guo, X., Jahoor, A., Jensen, J. & Sarup, P. (2022). Metabolomic spectra for phenotypic prediction of malting quality in spring barley. Scientific Reports, 12(1), Artikel 7881. https://doi.org/10.1038/s41598-022-12028-4

Grace, C. A., Sousa Carvalho, K. S., Sousa Lima, M. I., Costa Silva, V., Reis-Cunha, J. L., Brune, M. J., Forrester, S., Pedrozo E Silva de Azevedo, C. D. M., Costa, D. L., Speed, D., Mottram, J. C., Jeffares, D. C. & Costa, C. H. N. (2022). Parasite Genotype Is a Major Predictor of Mortality from Visceral Leishmaniasis. mBio, 13(6), e0206822. https://doi.org/10.1128/mbio.02068-22

Ramstein, G. P. & Buckler, E. S. (2022). Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize. Genome Biology, 23(1), Artikel 183. https://doi.org/10.1186/s13059-022-02747-2

Malinowska, M., Ruud, A. K., Jensen, J., Svane, S. F., Smith, A. G., Bellucci, A., Lenk, I., Nagy, I., Fois, M., Didion, T., Thorup-Kristensen, K., Jensen, C. S. & Asp, T. (2022). Relative importance of genotype, gene expression, and DNA methylation on complex traits in perennial ryegrass. The Plant Genome, 15(4), Artikel e20253. https://doi.org/10.1002/tpg2.20253

Viser resultater 201 til 300 ud af 6827

Forrige

Næste

Revideret 19.03.2025

Jette Odgaard Villemoes