Publications

Peer-reviewed publications at QGG

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Berrandou, T.-E., Balding, D. & Speed, D. (2023). LDAK-GBAT: Fast and powerful gene-based association testing using summary statistics. American Journal of Human Genetics, 110(1), 23-29. https://doi.org/10.1016/j.ajhg.2022.11.010

Sahana, J., Cortés-Sánchez, J. L., Sandt, V., Melnik, D., Corydon, T. J., Schulz, H., Cai, Z., Evert, K., Grimm, D. & Wehland, M. (2023). Long-Term Simulation of Microgravity Induces Changes in Gene Expression in Breast Cancer Cells. International Journal of Molecular Sciences , 24(2), Article 1181. https://doi.org/10.3390/ijms24021181

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

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

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

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

Karaman, E., Milkevych, V. & Janss, L. (2023). Biologically informed genomic predictions with the NextGP.jl statistical analysis package. 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

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

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

Jensen, S. L., Rühmann, B., Olsen, B. S., Elmengaard, B., Rasmussen, J., Larsen, J. B., Hanisch, K., Lau, L., Tøttrup, M., Jacobsen, P., Kristensen, P. K., Villekjær, S. O., Thillemann, T. M., Issa, Z. & Iversen, P. (2023). Dansk Skulderalloplastik Register: PRO er vigtig for måling af behandlingskvalitet. Ugeskrift for Læger, 185(23), 2223. https://ugeskriftet.dk/videnskab/dansk-skulderalloplastik-register-pro-er-vigtig-maling-af-behandlingskvalitet

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

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

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

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

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

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

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

Manzanilla Pech, C. I. V., Stephansen, R. B. & Lassen, J. (2023). Heterogeneity of 3D cameras feed intake heritabilities in first parity Holstein, Jersey and Nordic Red cows. In Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science : EAAP Book of Abstracts, Volume 29 Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

Hellwing, A. L. F., Vestergaard, M. & Kargo, M. (2023). Methane emission from purebred Holstein, Nordic Red and F1 crossbred cows of the two breeds. In Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science (pp. 937-937). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-936-7

Tao, K., Thorsgaard Jensen, I., Zhang, S., Villa Rodríguez, E. D., Blahovska, Z., Salomonsen, C. L., Martyn, A., Björgvinsdóttir, Þ. N., Kelly, S., Janss, L., Glasius, M., Waagepetersen, R. & Radutoiu, S. (2023). Nitrogen source and Nod factor signaling map out the assemblies of Lotus japonicus root bacterial communities.

Zhou, R., Yu, X., Rosenqvist, E. & Ottosen, C. O. (2023). Physiological and genetic studies inspired insights into tomato responding to multiple abiotic stresses. Acta Horticulturae, (1372), 1-7. https://doi.org/10.17660/ActaHortic.2023.1372.1

Stephansen, R. B., Manzanilla Pech, C. I. V., Gebreyesus, G., Sahana, G. & Lassen, J. (2023). Prediction of body condition in Jersey dairy cattle from 3D images using machine learning techniques. Abstract from ICAR 2023, Toledo, Spain. https://www.icar.org/wp-content/uploads/2024/01/ICAR-Technical-Series-27-Toledo-2023-Proceedings.pdf

Slagboom, M., Nielsen, H. M., Kargo, M., Henryon, M. & Hansen, L. S. (2023). Simulating breeding programs based on mass selection in black soldier fly (Hermetia illucens). Abstract 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Bolormaa, S., MacLeod, I. M., Khansefid, M., Marret, L., Wales, B., Miglior, F., Baes, C. F., Schenkel, F. S., Connor, E. E., Manzanilla Pech, C. I. V., Coffey, M., Stothard, P., Herman, E., Nieuwhof, G. J., Goddard, M. E. & Pryce, J. (2022). Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency. Genetics Selection Evolution, 54(1), Article 60. https://doi.org/10.1186/s12711-022-00749-z

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

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

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

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

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

Shi, L., Wang, L., Fang, L., Li, M., Tian, J., Wang, L. & Zhao, F. (2022). Integrating genome-wide association studies and population genomics analysis reveals the genetic architecture of growth and backfat traits in pigs. Frontiers in Genetics, 13, Article 1078696. https://doi.org/10.3389/fgene.2022.1078696

Eiríksson, J. H., Strandén, I., Su, G., Mäntysaari, E. A. & Christensen, O. F. (2022). Local breed proportions and local breed heterozygosity in genomic predictions for crossbred dairy cows. Journal of Dairy Science, 105(12), 9822-9836. https://doi.org/10.3168/jds.2022-22225

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

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

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

Raffo, M. A., Sarup, P., Andersen, J. R., Orabi, J., Jahoor, A. & Jensen, J. (2022). Integrating a growth degree-days based reaction norm methodology and multi-trait modeling for genomic prediction in wheat. Frontiers in Plant Science, 13, Article 939448. https://doi.org/10.3389/fpls.2022.939448

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

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.

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

Hansen, P. B., Ruud, A. K., de Los Campos, G., Malinowska, M., Nagy, I., Svane, S. F., Thorup-Kristensen, K., Jensen, J. D., Krusell, L. & Asp, T. (2022). Integration of DNA Methylation and Transcriptome Data Improves Complex Trait Prediction in Hordeum vulgare. Plants, 11(17), Article 2190. https://doi.org/10.3390/plants11172190

Lund, P., Hojberg, O., Børsting, C. F., Nielsen, M. O., Villumsen, T. M. & Weisbjerg, M. R. (2022). Muligheder for at begrænse metan fra drøvtyggere. Vand & Jord, (3), 93-95. http://vand-og-jord.dk/

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

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

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

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

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

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

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

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

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

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

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

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

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