Publikationer

Peer-reviewed publikationer ved QGG

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.

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. Methods in Molecular Biology Bind 2638 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

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), [1956]. https://doi.org/10.3390/app13031956

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), [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), [100717]. https://doi.org/10.1016/j.animal.2023.100717

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), [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), [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), [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). https://doi.org/10.3390/genes14040890

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), [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), [1181]. https://doi.org/10.3390/ijms24021181

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). https://doi.org/10.1093/molbev/msac259

Raffo, M. A. & Jensen, J. (2023). Gene × gene and genotype × environment interactions in wheat. Crop Science. 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, [1075077]. https://doi.org/10.3389/fpls.2022.1075077

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), [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, [1041925]. https://doi.org/10.3389/fpls.2022.1041925

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), [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), [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), [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

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), 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. https://doi.org/10.3389/fgene.2022.947176

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). https://doi.org/10.3390/nu15051166

Christensen, B. S., Buitenhuis, A. J., Jacobsen, L. N., S. Ostenfeld, M. & Sørensen, E. S. (2023). Transcriptome comparison of Intestinal Caco-2 cells in response to Human and Bovine Milk Osteopontin. Nutrients. 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. https://doi.org/10.1111/bdi.13267

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), [213]. https://doi.org/10.1186/s12864-023-09292-7

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

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

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), [2175792]. https://doi.org/10.1080/09540091.2023.2175792

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. EAAP Book of Abstracts Bind 28 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). [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). Interbull Bulletin Bind 57 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

Guillenea, A., Lund, M. S., Evans, R. D., Börner, V. & Karaman, E. (2022). Genomic prediction in multi-breed Irish beef cattle population using a breed origin of alleles model. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/25_013.pdf

Guillenea, A., Su, G., Lund, M. S. & Karaman, E. (2022). Genomic prediction using breed origin of alleles model accounting for probabilities in the assignment of the alleles. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/43_004.pdf

Gredler-Grandl, B., Raymond, B., Schopen, G. C. B., Chitneedi, P. K., Cai, Z., Manzanilla Pech, C. I. V., Iso-Touru, T., Fischer, D., Bolormaa, S., Chud, T. C. S., Schenkel, F. S., Wang, Y., Li, C., Hailemariam, D., Villanueva, B., Fernandez, A., Kuehn, C., Sahana, G., Lidauer, M. ... Bouwman, A. C. (2022). Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_010.pdf

Gebreyesus, G., Secher, J. B-M., Lund, M. S., Kupisiewicz, K., Ivask, M. & Su, G. (2022). Bull effects on in vitro embryo production quality traits are repeatable and heritable. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/21_004.pdf

Gautason, E., Sahana, G., Guldbrandtsen, B. & Berg, P. (2022). Optimum contribution selection in a dairy cattle population with different relationship matrices. I WCGALP 2022 Programme book (s. 4). Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/52_012.pdf

Eiríksson, J. H., Su, G. & Christensen, O. F. (2022). Including local genomic breed proportions in genomic predictions for crossbred. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/25_002.pdf

Dahl, M. & Christensen, O. F. (2022). A phasing algorithm targeted at dairy cattle populations having genotyped ancestors with many genotyped offspring. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/30_006.pdf

Croiseau, P., Saintilan, R., 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 WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_001.pdf

Clasen, J. B., Fikse, W. F., Su, G. & Karaman, E. (2022). Breed-origin-of-alleles approach using summary statistics for multi-breed genomic prediction in dairy cattle. I WCGALP 2022: Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/25_014.pdf

Chu, T. T., Zaalberg, R. M., Jensen, J. & Villumsen, T. M. (2022). Selection for piglet mortality and litter size in outdoor organic pig production systems. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf

Christensen, O. F. & Legarra, A. (2022). Maximum likelihood estimation of metafounder parameters for single and multiple breeds. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/19_020.pdf

Cai, Z., Wu, X., Thomsen, B. & Sahana, G. (2022). Fine-mapping young-stock survival QTL on chromosome 6 in Nordic Red Dairy Cattle. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/66_006.pdf

Cai, Z. & Sahana, G. (2022). Segregation of the structural variant responds for mastitis resistance in re-sequencing Nordic Holstein animals. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/28_004.pdf

Bouquet, A. E. R., Slagboom, M., Thomasen, J. R., Friggens, N., Kargo, M. & Puillet, L. (2022). Mechanistic-based prediction of selection response on resilience and feed efficiency traits in dairy cattle. I WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/09_009.pdf

Barre, P., Asp, T., Byrne, S., Casler, M., Faville, M., Rognli, O. A., Roldan-Ruiz, I., Skøt, L. & Ghesquière, M. (2022). Genomic Prediction of Complex Traits in Forage Plants Species: Perennial Grasses Case. I Methods in Molecular Biology (s. 521-541). Humana Press Inc. Methods in Molecular Biology Bind 2467 https://doi.org/10.1007/978-1-0716-2205-6_19

2022

Bog-antologi

Poulsen, B. G. (2022). Prediction of breeding values for survival of commercial sows. Aarhus Universitet.

Gautason, E. (2022). Genomic selection and inbreeding management in a small dairy cattle population. Aarhus Universitet.

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

2022

Bidrag til artikel

Jensen, J. (2022). Word of thanks to professor Ignacy Misztal. Journal of Animal Breeding and Genetics, 139(4), 369-369. https://doi.org/10.1111/jbg.12725

Zhang, Q., Zhang, Q. & Jensen, J. (2022). Association Studies and Genomic Prediction for Genetic Improvements in Agriculture. Frontiers in Plant Science, 13, [904230]. https://doi.org/10.3389/fpls.2022.904230

Speed, D., Kaphle, A. & Balding, D. J. (2022). SNP-based heritability and selection analyses: Improved models and new results. BioEssays, 44(5), e2100170. [2100170]. https://doi.org/10.1002/bies.202100170

Sawant, M., Patil, R., Shikhare, T., Nagle, S., Chavan, S., Negi, S. & Bokde, N. D. (2022). A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction. Energies, 15(21), [8107]. https://doi.org/10.3390/en15218107

Goutam, B., Hashimi, M. F., Geem, Z. W. & Bokde, N. (2022). A Comprehensive Review of Deep Learning Strategies in Retinal Disease Diagnosis Using Fundus Images. IEEE Access, 10, 57796-57823. https://doi.org/10.1109/ACCESS.2022.3178372

Zhou, Y., Zhang, Z., Bao, Z., Li, H., Lyu, Y., Zan, Y., Wu, Y., Cheng, L., Fang, Y., Wu, K., Zhang, J., Lyu, H., Lin, T., Gao, Q., Saha, S., Mueller, L., Fei, Z., Städler, T., Xu, S. ... Huang, S. (2022). Graph pangenome captures missing heritability and empowers tomato breeding. Nature, 606(7914), 527-534. https://doi.org/10.1038/s41586-022-04808-9

Zhang, H., Wang, K., An, T., Zhu, L., Chang, Y., Lou, W., Liu, L., Guo, G., Liu, A., Su, G., Brito, L. F. & Wang, Y. (2022). Genetic parameters for dairy calf and replacement heifer wellness traits and their association with cow longevity and health indicators in Holstein cattle. Journal of Dairy Science, 105(8), 6749-6759. https://doi.org/10.3168/jds.2021-21450

Zhang, Q., Schönherz, A. A., Lund, M. S. & Guldbrandtsen, B. (2022). Positive Selection and Adaptive Introgression of Haplotypes from Bos indicus Improve the Modern Bos taurus Cattle. Agriculture (Switzerland), 12(6), [844]. https://doi.org/10.3390/agriculture12060844

Zaalberg, R. M., Villumsen, T. M., Jensen, J. & Chu, T. T. (2022). Effective Selection for Lower Mortality in Organic Pigs through Selection for Total Number Born and Number of Dead Piglets. Animals, 12(14), [1796]. https://doi.org/10.3390/ani12141796

Zaalberg, R. M., Nielsen, H. M., Sorensen, A. C., Chu, T. T., Jensen, J. & Villumsen, T. M. (2022). The Effect of Using Organic or Conventional Sires on Genetic Gain in Organic Pigs: A Simulation Study. Animals, 12(4), [455]. https://doi.org/10.3390/ani12040455

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Jette Odgaard Villemoes