Publications

Peer-reviewed publications at QGG

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.

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.

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

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

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

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

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

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

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

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

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

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

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), Article 45. https://doi.org/10.1186/s12711-023-00810-5

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

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.

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

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, Article 947176. https://doi.org/10.3389/fgene.2022.947176

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

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), Article 1166. https://doi.org/10.3390/nu15051166

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

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

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

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

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

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. Article AN23022. https://doi.org/10.1071/AN23022

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

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

Balbuena, L., Peters, E. & Speed, D. (2023). Using polygenic risk scores to investigate the evolution of smoking and mental health outcomes in UK biobank participants. Acta Psychiatrica Scandinavica, 148(5), 447-456. https://doi.org/10.1111/acps.13601, https://doi.org/10.1111/acps.13601

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

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

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

Salunke, S., Ahuja, B., Hashmi, M. F., Marriboyina, V. & Bokde, N. D. (2022). 5D Gauss Map Perspective to Image Encryption with Transfer Learning Validation. Applied Sciences, 12(11), Article 5321. https://doi.org/10.3390/app12115321

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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_010.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). In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_001.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). In Proceedings of the 2022 Interbull Meeting (pp. 18-22) https://journal.interbull.org/index.php/ib

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

Liu, S., Gao, Y., Canela-Xandri, O., Wang, S., Yu, Y., Cai, W., Li, B., Xiang, R., Chamberlain, A. J., Pairo-Castineira, E., D'Mellow, K., Rawlik, K., Xia, C., Yao, Y., Navarro, P., Rocha, D., Li, X., Yan, Z., Li, C. ... Fang, L. (2022). A multi-tissue atlas of regulatory variants in cattle. Nature Genetics, 54(9), 1438-1447. https://doi.org/10.1038/s41588-022-01153-5

Khare, S. K., Gaikwad, N. & Bokde, N. D. (2022). An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets. Sensors (Switzerland), 22(21), Article 8128. https://doi.org/10.3390/s22218128

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

Sammad, A., Zhang, H., Shi, R., Dong, Y., Luo, H., Chen, Z., Liu, L., Guo, G., Liu, A. & Wang, Y. (2022). A Post-GWAS Functional Analysis Confirming Effects of Three BTA13 Genes CACNB2, SLC39A12, and ZEB1 on Dairy Cattle Reproduction. Frontiers in Genetics, 13, Article 882951. https://doi.org/10.3389/fgene.2022.882951

Marašinskienė, Š., Šveistienė, R., Kosińska-Selbi, B., Schmidtmann, C., Ettema, J. F., Juškienė, V. & Kargo, M. (2022). Application of a Bio-Economic Model to Demonstrate the Importance of Health Traits in Herd Management of Lithuanian Dairy Breeds. Animals, 12(15), Article 1926. https://doi.org/10.3390/ani12151926

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, Article 80. https://doi.org/10.1186/s12711-022-00771-1

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), Article 8107. https://doi.org/10.3390/en15218107

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

Berrandou, T. E. & Bouatia-Naji, N. (2022). Base polygénique de la dysplasie fibromusculaire artérielle. médecine/sciences: M/S, 38(11), 870-873. https://doi.org/10.1051/medsci/2022134

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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_016.pdf

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

Hjortø, L., Andersen, T., Kargo, M. & Sørensen, A. C. (2022). Breeding schemes with optimum-contribution selection or truncation selection for beef cattle destined for use on dairy females. Journal of Dairy Science, 105(5), 4314-4323. https://doi.org/10.3168/jds.2021-21258

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. In WCGALP 2022: Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/25_014.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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/21_004.pdf

Nagy, I., Veeckman, E., Liu, C., Bel, M. V., Vandepoele, K., Jensen, C. S., Ruttink, T. & Asp, T. (2022). Chromosome-scale assembly and annotation of the perennial ryegrass genome. BMC Genomics, 23(1), Article 505. https://doi.org/10.1186/s12864-022-08697-0

Shende, M. K., Feijoo-Lorenzo, A. E. & Bokde, N. D. (2022). cleanTS: Automated (AutoML) tool to clean univariate time series at microscales. Neurocomputing, 500, 155-176. https://doi.org/10.1016/j.neucom.2022.05.057

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. Article 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), Article 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), Article 176. https://doi.org/10.1186/s13059-022-02745-4

Alemu, S. W., Bijma, P., Calus, M. P. L., Liu, H., Fernando, R. L. & Dekkers, J. C. M. (2022). Comparison of linkage disequilibrium estimated from genotypes versus haplotypes for crossbred populations. Genetics Selection Evolution, 54(1), Article 12. https://doi.org/10.1186/s12711-022-00703-z

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

Slagboom, M., Milkevych, V., Liu, H., Thomasen, J. R., Kargo, M. & Schmidtmann, C. (2022). Conservation of local Red cattle breeds by collaboration with a mainstream Red dairy cattle breed. Livestock Science, 260, Article 104936. https://doi.org/10.1016/j.livsci.2022.104936

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), Article 100017. https://doi.org/10.1016/j.anopes.2022.100017

Milkevych, V., Michelle Villumsen, T., Løvendahl, P. & Sahana, G. (2022). Data synchronization for gas emission measurements from dairy cattle: A matched filter approach. Computers and Electronics in Agriculture, 201, Article 107299. https://doi.org/10.1016/j.compag.2022.107299

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). In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/62_005.pdf

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), Article 1796. https://doi.org/10.3390/ani12141796

Bengtsson, C., Thomasen, J. R., Kargo, M., Bouquet, A. & Slagboom, M. (2022). Emphasis on resilience in dairy cattle breeding: Possibilities and consequences. Journal of Dairy Science, 105(9), 7588-7599. https://doi.org/10.3168/jds.2021-21049

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. In WCGALP 2022 Programme Book Wageningen Academic Publishers. https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf

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, No. 2021-0237290, 6 p., May 12, 2022.

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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/66_004.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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/68_009.pdf

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

Lou, W., Zhang, H., Luo, H., Chen, Z., Shi, R., Guo, X., Zou, Y., Liu, L., Brito, L. F., Guo, G. & Wang, Y. (2022). Genetic analyses of blood β-hydroxybutyrate predicted from milk infrared spectra and its association with longevity and female reproductive traits in Holstein cattle. Journal of Dairy Science, 105(4), 3269-3281. https://doi.org/10.3168/jds.2021-20389

Løvendahl, P. & Buitenhuis, A. J. (2022). Genetic and phenotypic variation and consistency in cow preference and circadian use of robotic milking units. Journal of Dairy Science, 105(6), 5283-5295. https://doi.org/10.3168/jds.2021-21593

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

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

Manzanilla Pech, C. I. V., Difford, G., Stephansen, R. B., Løvendahl, P. & Lassen, J. (2022). Genetic (co-)variation of methane emissions, efficiency and production traits in Danish Holstein cattle along and across lactations. Journal of Dairy Science, 105(12), 9799-9809. https://doi.org/10.3168/jds.2022-22121

Lu, X., Arbab, A. A. I., Abdalla, I. M., Liu, D., Zhang, Z., Xu, T., Su, G. & Yang, Z. (2022). Genetic Parameter Estimation and Genome-Wide Association Study-Based Loci Identification of Milk-Related Traits in Chinese Holstein. Frontiers in Genetics, 12, Article 799664. https://doi.org/10.3389/fgene.2021.799664

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

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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/57_011.pdf

Chu, T. T., Zaalberg, R. M., Bovbjerg, H., Jensen, J. & Villumsen, T. M. (2022). Genetic variation in piglet mortality in outdoor organic production systems. Animal : an international journal of animal bioscience, 16(5), Article 100529. https://doi.org/10.1016/j.animal.2022.100529

Fois, M., Bellucci, A., Malinowska, M., Greve, M., Ruud, A. K. & Asp, T. (2022). Genome-wide association mapping of crown and brown rust resistance in perennial ryegrass. Genes, 13(1), Article 20. https://doi.org/10.3390/genes13010020

Mallawaarachchi, S., Tonkin-Hill, G., Croucher, N. J., Turner, P., Speed, D., Corander, J. & Balding, D. (2022). Genome-wide association, prediction and heritability in bacteria with application to Streptococcus pneumoniae. NAR Genomics & Bioinformatics, 4(1), Article lqac011. https://doi.org/10.1093/nargab/lqac011

Dharmateja, P., Yadav, R., Kumar, M., Babu, P., Jain, N., Mandal, P. K., Pandey, R., Shrivastava, M., Gaikwad, K. B., Bainsla, N. K., Tomar, V., Sugumar, S., Saifi, N. & Ranjan, R. (2022). Genome-wide association studies reveal putative QTLs for physiological traits under contrasting phosphorous conditions in wheat (Triticum aestivum L.). Frontiers in Genetics, 13, Article 984720. https://doi.org/10.3389/fgene.2022.984720

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

Manzanilla Pech, C. I. V., Difford, G., Sahana, G., Rome, H. J. S., Løvendahl, P. & Lassen, J. (2022). Genome-wide association study for methane emission traits in Danish Holstein cattle. Journal of Dairy Science, 105(2), 1357-1368. https://doi.org/10.3168/jds.2021-20410

Mesbah-Uddin, M., Guldbrandtsen, B., Capitan, A., Lund, M. S., Boichard, D. & Sahana, G. (2022). Genome-wide association study with imputed whole-genome sequence variants including large deletions for female fertility in 3 Nordic dairy cattle breeds. Journal of Dairy Science, 105(2), 1298-1313. https://doi.org/10.3168/jds.2021-20655

Fang, F., Li, J., Guo, M., Mei, Q., Yu, M., Liu, H., Legarra, A. & Xiang, T. (2022). Genomic evaluation and genome-wide association studies for total number of teats in a combined American and Danish Yorkshire pig populations selected in China. Journal of Animal Science, 100(7), Article skac174. https://doi.org/10.1093/jas/skac174

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

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 from XVIIIth Eucarpia Biometrics in Plant Breeding Conference.

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. In 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 in Nordic Red dairy cattle considering breed origin of alleles. Journal of Dairy Science, 105(3), 2426-2438. https://doi.org/10.3168/jds.2021-21173

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. In Methods in Molecular Biology (pp. 521-541). Humana Press Inc. https://doi.org/10.1007/978-1-0716-2205-6_19

Eiríksson, J. H., Byskov, K., Su, G., Thomasen, J. R. & Christensen, O. F. (2022). Genomic predictions for crossbred dairy cows by combining solutions from purebred evaluation based on breed origin of alleles. Journal of Dairy Science, 105(6), 5178-5191. https://doi.org/10.3168/jds.2021-21644

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. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/43_004.pdf

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

Velasco-Galilea, M., Buitenhuis, A. J., Ramayo-Caldas, Y., Ballester, M., Piles, M. & Sanchez, J. P. (2022). GENOMIC REGIONS OF MEAT RABBIT INVOLVED IN THE VARIATION OF ITS CAECAL MICROBIOTA. In 46 Symposium de Cunicultura - Proceedings https://asescu.com/wp-content/uploads/2023/05/Libro-de-Actas_46-Symposium-Cunicultura-2022-1.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. In WCGALP2022 Programme book Wageningen Academic Publishers. https://wcgalp.com/wp-content/uploads/2022/07/e-WCGALP22-programme-booklet.pdf

Consortium, V. G., Nijman, I. J., Rosen, B. D., Bardou, P., Faraut, T., Cumer, T., Daly, K. G., Zheng, Z., Cai, Y., Asadollahpour, H., Kul, B. Ç., Zhang, W.-Y., Guangxin, E., Ayin, A., Baird, H., Bakhtin, M., Bâlteanu, V. A., Barfield, D., Berger, B. ... Lenstra, J. A. (2022). Geographical contrasts of Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions. Molecular Ecology, 31(16), 4364-4380. https://doi.org/10.1111/mec.16579

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

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), Article 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

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Jette Odgaard Villemoes