Publikationer

Peer-reviewed publikationer ved QGG

2023

Arbejdspapir (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.

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

Andet bidrag

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, Nr. 2023-0504452, 10 s., maj 01, 2023.

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

2023

Bidrag til konference

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

2023

Bidrag til bog-antologi

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

2023

Bog-antologi

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

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

2023

Bidrag til artikel

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, ASPA 25th Congress Book of Abstract, 41. 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), artikel 110. https://doi.org/10.1186/s40104-023-00917-1

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

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), 76. artikel 76. https://doi.org/10.1186/s40104-023-00874-9, 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), artikel 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. adv. onlinepublikation. https://doi.org/10.3168/jds.2022-22694

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

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

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

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), artikel 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), artikel 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 (Switzerland), 12(3), artikel 618. https://doi.org/10.3390/electronics12030618

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

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

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

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. adv. onlinepublikation. 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), artikel 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), artikel 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), artikel 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), artikel msac259. https://doi.org/10.1093/molbev/msac259

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

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

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

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, 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. artikel 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), artikel 17. https://doi.org/10.1186/s12711-023-00792-4

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

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

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

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

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

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. adv. onlinepublikation. 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), artikel 259. https://doi.org/10.3390/fi15080259

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), artikel 61. https://doi.org/10.1186/s12711-023-00835-w

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), artikel 34. https://doi.org/10.1186/s12711-023-00806-1

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

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 : GSE, 55(1), 48. artikel 48. https://doi.org/10.1186/s12711-023-00826-x

Eiríksson, J. H., Su, G., Strandén, I. & Christensen, O. F. (2023). Segregation between breeds and local breed proportions in genetic and genomic models for crossbreds. Genetics Selection Evolution, 55(1), artikel 45. https://doi.org/10.1186/s12711-023-00810-5

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

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

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. adv. onlinepublikation. https://doi.org/10.1111/bdi.13267

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. adv. onlinepublikation. 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. adv. onlinepublikation. https://doi.org/10.3168/jds.2022-22798

Bornhofen, E., Fé, D., Nagy, I., Lenk, I., Greve, M., Didion, T., Jensen, C. S., Asp, T. & Janss, L. (2023). Genetic architecture of inter-specific and -generic grass hybrids by network analysis on multi-omics data. BMC Genomics, 24(1), artikel 213. https://doi.org/10.1186/s12864-023-09292-7

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, artikel AN23022. https://doi.org/10.1071/AN23022

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

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

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

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. adv. onlinepublikation. https://doi.org/10.1016/j.ajhg.2022.11.010

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

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

CARDIoGRAMPlusC4D, MEGASTROKE, International Stroke Genetics Consortium (ISGC) Intracranial Aneurysm Working Group & 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

2022

Olesen, J. E., Munkholm, L. J., Kudsk, P., Gregersen, P. L., Kongsted, A. G., Børsting, C. F., Callesen, H., Sørensen, J. T., Henriksen, B. I. F., Woyengo, T. A., Villumsen, T. M., Rasmussen, M. D. & Andersen, M. N., (2022). Notat om klimaforandringernes betydning for dansk landbrug, Nr. 2022-0431984, 35 s., sep. 23, 2022. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Buitenhuis, A. J., Kongsted, H., Villumsen, T. M. & Lund, M. S., (2022). Et resumé af Leverdrejning (lobus sinister lateralis) i grise: Et pilotstudie der undersøger, om der er en simpel genetisk baggrund, Nr. 2021-0237290, 6 s., maj 12, 2022.

2022

Bidrag til konference

Raffo, M. A., Sarup, P. M., Andersen, J. R., Orabi, J., Jahoor, A. & Jensen, J. (2022). Genomic prediction for complex traits in wheat: a growth degree-days based reaction norm and multi-trait approach. Abstract fra XVIIIth Eucarpia Biometrics in Plant Breeding Conference.

Raffo, M. A., Sarup, P. M., Andersen, J. R., Guo, X., Liu, H., Orabi, J., Jahoor, A. & Jensen, J. (2022). Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis. Abstract fra Plant and Animal Genome - IWGSC.

Poulsen, B. G. (2022). Genetic associations between survival at different parities in commercial crossbred sows.

Manzanilla Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2022). Breeding for feed efficient and low methane-emitting dairy cows is feasible. Abstract fra 73rd Annual Meeting of the European Federation of Animal Science, Porto, Portugal.

2022

Bidrag til bog-antologi

Thomasen, J. R., Nielsen, H. M., Kargo, M. & Slagboom, M. (2022). Purebred breeding goals optimized for crossbreeding improves crossbred performance. I Book of Abstracts of the 73rd Annual Meeting - EAAp (s. 598). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-937-4

Karaman, E. (2022). NextGP: A Julia package for next generation genomic prediction tools. I Danish Data Science 2022 - Abstract books (s. 11). artikel A9 https://medialib.cmcdn.dk/medialibrary/D930F4EA-1FF8-4ABE-8601-DB2EB4DBF59D/EFEC260A-2A59-ED11-84BA-00155D0B0940.pdf

Clasen, J. B., Nielsen, H. M., Hein, L., Johansen, K., Vestergaard, M. & Kargo, M. (2022). Performance of first parity Holstein, Danish Red and their crosses in an experimental setting. I Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP): Book of abstracts No. 28 (2022) (s. 671). Wageningen Academic Publishers. https://www.eaap2022.org/docs/AbstractBookEAAP.pdf

Tenhunen, S. R., Thomasen, J. R., Sørensen, L. P., Aamand, G. P., Berg, P. & Kargo, M. (2022). Inbreeding and coancestry trends in Nordic Holstein. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/67_009.pdf

Su, G., Liu, T., Christensen, O. F., Lund, M. S. & Nielsen, B. (2022). Feasibility of reducing mortality of pigs from birth to slaughter by genetic selection. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_009.pdf

Stephansen, R. B., Martin, P., Gredler-Grandl, B., Manzanilla Pech, C. I. V., Sahana, G., Ducrocq, V., Baes, C. F., Schenkel, F. S., Veerkamp, R. & Lassen, J. (2022). Novel genetic parameters to improve gRFI in dairy cattle using big data from multiple lactations and countries. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/14_014.pdf

Saintilan, R., Croiseau, P., Baur, A., Croue, I., Ducrocq, V., Thomasen, J. R., Karaman, E., Boichard, D., Leclerc, H. & Cuyabano, B. C. D. (2022). Accuracy of prediction for a genomic evaluation in rotational crossbreeding scheme (Montbéliarde x Holstein x Red Danish). I Proceedings of the 2022 Interbull Meeting (s. 18-22) https://journal.interbull.org/index.php/ib

Rome, H. J. S., Chu, T. T., Marois, D., Huang, C-H., Madsen, P. & Jensen, J. (2022). Estimating environmental direct-maternal covariance in real data – illustration on broilers. I WCGALP 2022 Programme Book Wageningen Academic Publishers. https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf

Ostersen, T., Henryon, M., Guo, X., Christensen, O. F., Su, G. & Sørensen, A. C. (2022). Non-genetic correlations between production traits and litter traits in pigs are important to account for. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_015.pdf

Olesen, I., Kettunen, A., Rosendal, G. K. & Nielsen, H. M. (2022). Defining animal breeding objectives and strategies within the framework of responsible research and innovation (RRI). I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/62_005.pdf

Nielsen, H. M. & Kargo, M. (2022). Conservation of an endangered pig breed using optimum contribution selection. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/72_007.pdf

Nielsen, B., Horndrup, L. V. & Ask, B. (2022). Modeller for social genetiske effekter hos grise og betydningen for dyrevelfærd. I Symposium i anvendt statistik (s. 126-128). SEGES Innovation. http://www.statistiksymposium.dk/Symposium%202022_Web.pdf

Milkevych, V., Karaman, E., Sahana, G., Janss, L., Cai, Z. & Lund, M. S. (2022). Quantitative trait simulation using MeSCoT software. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/30_009.pdf

Mei, Q., Liu, H., Xiang, T. & Christensen, O. F. (2022). Genomic evaluation for two-way crossbred performance in cattle. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_002.pdf

Martinez Boggio, G., Meynadier, A., Rupp, R., Allain, C., Buitenhuis, A. J. & Marie-Etancelin, C. (2022). Evidence of genetic links between rumen bacteria and milk somatic cell score in Lacaune dairy sheep. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/66_004.pdf

Martinez Boggio, G., Christensen, O. F., Legarra, A., Allain, C., Meynadier, A. & Marie-Etancelin, C. (2022). Rumen bacteria do not provide improved genetic evaluation of dairy traits in sheep. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/05_009.pdf

Manzanilla Pech, C. I. V., Stephansen, R. B., Andersen, T. & Lassen, J. (2022). Genetic parameters for residual feed efficiency in three dairy cattle breeds in commercial farms using 3D cameras. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/57_011.pdf

Løvendahl, P. & Buitenhuis, A. J. (2022). Genetic and phenotypic variation and consistency of cow’s preference and circadian use of robotic milking units. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/32_007.pdf

Liu, T., Nielsen, B., Christensen, O. F., Lund, M. S. & Su, G. (2022). Impact of genotyping strategy on the accuracy of genomic prediction for survival in pigs. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/22_012.pdf

Liu, H., Nielsen, H. M., Kargo, M., Thomasen, J. R., Berg, P., Slagboom, M., Sørensen, A. C. & Milkevych, V. (2022). Simulation of animal crossbreeding schemes using ADAM software. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/56_007.pdf

Kotlarz, K., Kosinska-Selbi, B., Cai, Z., Sahana, G. & Szyda, J. (2022). The application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/11_004.pdf

Kempe, R. M., Mehtiö, T., Leino, A-M., Koivula, M., Pitkänen, T. J., Stephansen, R. B., Mäntysaari, P., Negussie, E., Pösö, J., Nielsen, U. S., Fikse, W. F., Aamand, G. P. & Lidauer, M. H. (2022). Single-step genomic prediction for metabolic body weight of Nordic Red dairy cattle. I WCGALP 2022: Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/14_005.pdf

Kargo, M., Nielsen, H. M., Østergaard, S., Kring, R. D., Slagboom, M., Clasen, J. B. & Thomasen, J. R. (2022). Should we breed cows like pigs? A new organisation of dairy cattle breeding. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/45_007.pdf

Karaman, E., Milkevych, V., Cai, Z., Janss, L., Sahana, G. & Lund, M. S. (2022). Genomic prediction with incomplete omics data. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/13_012.pdf

Johansen, K., Kargo, M., Bjerring, M., Løvendahl, P. & Buitenhuis, A. J. (2022). Phenotypic differences and genetic parameters for methane concentration in BeefxDairy crossbred slaughter calves. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/69_002.pdf

Islam, M. S., Van der Werf, JHJ., Henryon, M., Chu, T. T., Wood, B. J. & Hermesch, S. (2022). Genotyping dead animals improves post-weaning survival of pigs in breeding programs. I WCGALP2022 Programme book Wageningen Academic Publishers. https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf

Henryon, M., Ostersen, T., Guo, X., Su, G. & Sørensen, A. C. (2022). Breeding for component traits of litter size at day 5 increases piglet survival while maintaining litter size at day 5. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_016.pdf

Hansen, L. S., Laursen, S. F., Bahrndorff, S., Kargo, M., Kristensen, T. N., Sahana, G., Sørensen, J. G. & Nielsen, H. M. (2022). Towards selective breeding in insects – estimating genetic parameters with individual-level phenotypes and pedigree. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/53_010.pdf

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Revideret 30.06.2023

Jette Odgaard Villemoes