Publications

Peer-reviewed publications at QGG

2023

Contribution to journal

Mei, Q., Liu, H., Zhao, S., Xiang, T. & Christensen, O. F. (2023). Genomic evaluation for two-way crossbred performance in cattle. Genetics Selection Evolution, 55(1), Article 17. https://doi.org/10.1186/s12711-023-00792-4

Manzanilla-Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2023). Genetic parameters for feed intake and body weight in dairy cattle using high-throughput 3-dimensional cameras in Danish commercial farms. Journal of Dairy Science, 106(12), 9006-9015. https://doi.org/10.3168/jds.2023-23405

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

Londhe, D. S., Katpatal, Y. B., Singh, C. K. & Bokde, N. D. (2023). Assessment of vegetation variation and its response to ENSO and IOD in the semi-arid ecosystem of Western India. Journal of Water and Climate Change, 14(8), 2642-2662. https://doi.org/10.2166/wcc.2023.010

Londhe, D. S., Katpatal, Y. B. & Bokde, N. D. (2023). Performance Assessment of Bias Correction Methods for Precipitation and Temperature from CMIP5 Model Simulation. Applied Sciences (Switzerland), 13(16), Article 9142. https://doi.org/10.3390/app13169142

Liu, C., Huang, R., Su, G., Hou, L., Zhou, W., Liu, Q., Qiu, Z., Zhao, Q. & Li, P. (2023). Introgression of pigs in Taihu Lake region possibly contributed to the improvement of fertility in Danish Large White pigs. BMC Genomics, 24(1), Article 733. https://doi.org/10.1186/s12864-023-09860-x

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

Li, J., Zhao, T., Guan, D., Pan, Z., Bai, Z., Teng, J., Zhang, Z., Zheng, Z., Zeng, J., Zhou, H., Fang, L. & Cheng, H. (2023). Learning functional conservation between human and pig to decipher evolutionary mechanisms underlying gene expression and complex traits. Cell Genomics, 3(10), Article 100390. https://doi.org/10.1016/j.xgen.2023.100390

Kristensen, P. S., Sarup, P., Fé, D., Orabi, J., Snell, P., Ripa, L., Mohlfeld, M., Chu, T. T., Herrström, J., Jahoor, A. & Jensen, J. (2023). Prediction of additive, epistatic, and dominance effects using models accounting for incomplete inbreeding in parental lines of hybrid rye and sugar beet. Frontiers in Plant Science, 14, Article 1193433. https://doi.org/10.3389/fpls.2023.1193433

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

Jiang, Y. F., Wang, S., Wang, C. L., Xu, R. H., Wang, W. W., Jiang, Y., Wang, M. S., Jiang, L., Dai, L. H., Wang, J. R., Chu, X. H., Zeng, Y. Q., Fang, L. Z., Wu, D. D., Zhang, Q. & Ding, X. D. (2023). Pangenome obtained by long-read sequencing of 11 genomes reveal hidden functional structural variants in pigs. iScience, 26(3), Article 106119. https://doi.org/10.1016/j.isci.2023.106119

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

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

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

Guo, X., Sarup, P., Jahoor, A., Jensen, J. & Christensen, O. F. (2023). Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley. Genetics Selection Evolution, 55(1), Article 61. https://doi.org/10.1186/s12711-023-00835-w

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

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, Article 1258100. https://doi.org/10.3389/fpls.2023.1258100, https://doi.org/10.3389/fpls.2023.1258100

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

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

Cai, Z., Wu, X., Thomsen, B., Lund, M. S. & Sahana, G. (2023). Genome-wide association study identifies functional genomic variants associated with young stock survival in Nordic Red Dairy Cattle. Journal of Dairy Science, 106(11), 7832-7845. https://doi.org/10.3168/jds.2023-23252

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

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

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), Article 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, 63(11), 1113-1125. Article AN23022. https://doi.org/10.1071/AN23022

Bokde, N. D., Milkevych, V., Nielsen, R. K., Villumsen, T. M. & Sahana, G. (2023). A novel approach for anomaly detection in dairy cow gas emission records. Computers and Electronics in Agriculture, 214, Article 108286. https://doi.org/10.1016/j.compag.2023.108286

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

DBDS Genetic Consortium (2023). Rare variants with large effects provide functional insights into the pathology of migraine subtypes, with and without aura. Nature Genetics, 55(11), 1843-1853. https://doi.org/10.1038/s41588-023-01538-0

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, Article 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. https://doi.org/10.1016/j.ajhg.2022.11.010

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

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), Article 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

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

Gautason, E., Sahana, G., Su, G., Benjamínsson, B. H., Jóhannesson, G. & Guldbrandtsen, B. (2022). Corrigendum: Short communication: investigation of the feasibility of genomic selection in Icelandic cattle. Journal of Animal Science, 100(2), Article skac016. https://doi.org/10.1093/jas/skac016

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, No. 2022-0431984, 35 p., Sept 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, No. 2021-0237290, 6 p., May 12, 2022.

2022

Contribution to conference

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.

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 from 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 from 73 Annual Meeting of the European Federation of Animal Science, Porto, Portugal.

2022

Contribution to book anthology

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

Econogene Consortium, Ajmone-Marsan, P., Bradley, D. G., Colli, L., Drögemüller, C., Lei, C., Mannen, H., Pompanon, F., Tosser-Klopp, G. & Jiang, Y. (2022). Y-chromosomal haplogroups from wild and domestic goats reveal ancient migrations and recent introgressions. In R. F. Veerkamp & Y. de Haas (Eds.), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP): Technical and species orientated innovations in animal breeding, and contribution of genetics to solving societal challenges (pp. 886-889). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-940-4_208

Karaman, E. (2022). NextGP: A Julia package for next generation genomic prediction tools. In Danish Data Science 2022 - Abstract books (pp. 11). Article 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. In Book of Abstracts of the 73rd Annual Meeting of the European Federation of Animal Science (EAAP): Book of abstracts No. 28 (2022) (pp. 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. In 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. In 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. In 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). In Proceedings of the 2022 Interbull Meeting (pp. 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. In 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. In 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). In 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. In 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. In Symposium i anvendt statistik (pp. 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. In 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. 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 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

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

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

Gautason, E., Sahana, G., Guldbrandtsen, B. & Berg, P. (2022). Optimum contribution selection in a dairy cattle population with different relationship matrices. In WCGALP 2022 Programme book (pp. 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. In 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. In 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). In 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. In 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. In 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. In 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. In 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. In 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. In 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. In Methods in Molecular Biology (pp. 521-541). Humana Press Inc. https://doi.org/10.1007/978-1-0716-2205-6_19

2022

Book anthology

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

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

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

2022

Contribution to journal

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, Article 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. Article 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), Article 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), Article 844. https://doi.org/10.3390/agriculture12060844

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Jette Odgaard Villemoes