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Publications from Technical Sciences

Follow the latest publications from the Faculty of Technical Sciences. The overview shows the publications with the latest at the top.


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Collard, F., Gabrielsen, G., Strand, J., Bach, L., Magnusson, K., Granberg, M. & von Friesen, L. W. (2019). Plastic in the Arctic: work in progress. Fram Forum, 2019, 36-37. https://framsenteret.no/wp-content/uploads/2019/03/Framforum-2019-digital.pdf
Sobieszczuk-Nowicka, E., Paluch-Lubawa, E., Mattoo, A. K., Arasimowicz-Jelonek, M., Gregersen, P. L. & Pacak, A. (2019). Polyamines – a new metabolic switch: Crosstalk with networks involving senescence, crop improvement, and mammalian cancer therapy. Frontiers in Plant Science, 10, Article 859. https://doi.org/10.3389/fpls.2019.00859
Kjeldgaard, S., Skov, L. N., Hestbek Nicolajsen, R., Iversen, B. B. & Bentien, A. (2019). Polyimide/copper hexacyanoferrate: A low cost battery for large-scale energy storage. Poster session presented at Organic Battery Days 2019 , Jena, Germany.
Alexandre, P., Porto-Neto, L., Karaman, E., Lehnert, S. & Reverter, A. (2019). Pooled genotyping strategies for the rapid construction of genomic reference populations. Journal of Animal Science, 97(12), 4761– 4769. https://doi.org/10.1093/jas/skz344
Vorkamp, K., Riget, F. F., Sanderson, H., Bossi, R., Hansen, K. M. & Skov, H. (2019). POP/PBT characterisation of dechlorane plus and novel brominated flame retardants based on data from Greenland. Aarhus University, DCE - Danish Centre for Environment and Energy. Scientific Report from DCE - Danish Centre for Environment and Energy Vol. 339 https://dce2.au.dk/pub/SR339.pdf
Maurice, S., Montes, M. S., Nielsen, B. J., Bødker, L., Martin, M. D., Jønck, C. G., Kjøller, R. & Rosendahl, S. (2019). Population genomics of an outbreak of the potato late blight pathogen, Phytophthora infestans, reveals both clonality and high genotypic diversity. Molecular Plant Pathology, 20(8), 1134-1146. https://doi.org/10.1111/mpp.12819
Frederiksen, M., Mosbech, A., Andersson, A., Castro, A. C., Egevang, C., Fort, J., Grémillet, D., Linnebjerg, J. F., Lyngs, P., Nielsen, H. H. & Koefoed Rømer, J. (2019). Population size and habitat use of breeding seabirds in Northeast Greenland: Field studies 2017-2018. Aarhus University, DCE - Danish Centre for Environment and Energy. Scientific Report from DCE - Danish Centre for Environment and Energy No. 337 http://dce2.au.dk/pub/SR337.pdf
Clark, L. V., Jin, X., Petersen, K. K., Anzoua, K. G., Bagmet, L., Chebukin, P., Deuter, M., Dzyubenko, E., Dzyubenko, N., Heo, K., Johnson, D., Jørgensen, U., Kjeldsen, J. B., Nagano, H., Peng, J., Sabitov, A. S., Yamada, T., Yoo, J., Yu, C.-Y. ... Sacks, E. J. (2019). Population structure of Miscanthus sacchariflorus reveals two major polyploidization events, tetraploid-mediated unidirectional introgression from diploid M. sinensis, and diversity centred around the Yellow Sea. Annals of Botany, 124(4), 731-748. https://doi.org/10.1093/aob/mcy161
Burkina, V., Rasmussen, M. K., Oliinychenko, Y. & Zamaratskaia, G. (2019). Porcine cytochrome 2A19 and 2E1. Basic & Clinical Pharmacology & Toxicology, 124(1), 32-39. https://doi.org/10.1111/bcpt.13121
Cosentino, M., Guarato, F., Tougaard, J., Nairn, D., Jackson, J. C. & Windmill, J. F. C. (2019). Porpoise click classifier (PorCC): A high-accuracy classifier to study harbour porpoises (Phocoena phocoena) in the wild. Acoustical Society of America. Journal, 145(6), 3427-3434. https://doi.org/10.1121/1.5110908
Moltsen, L., Jacobsen, R. H., Inceoglu, F., Antoci, V., Hernandez Marcano, N. J., Alminde, L. K., Michaelsen, P. H., Sørensen, C. I. & Jensen, M. (2019). Positioning 5G Management Interfaces for Mega-constellations Management (MegaMan). Journal of ICT Standardization, 7(2), 109-125. Article 3. https://doi.org/10.13052/jicts2245-800X.723
Slagboom, M., Hjortø, L., Sørensen, A. C., Mulder, H. A., Thomasen, J. R. & Kargo, M. (2019). Possibilities for a specific breeding program for organic dairy production. 215-215. Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.
Jung, L., Niebuhr, K., Hinrichsen, L. K., Gunnarsson, S., Brenninkmeyer, C., Bestman, M., Heerkens, J., Ferrari, P. & Knierim, U. (2019). Possible risk factors for keel bone damage in organic laying hens. Animal, 13(10), 2356-2364. https://doi.org/10.1017/S175173111900003X
Grelet, C., Vanlierde, A., Hostens, M., Foldager, L., Salavati, M., Ingvartsen, K. L., Crowe, M., Sorensen, M. T., Froidmont, E., Ferris, C. P., Marchitelli, C., Becker, F., Larsen, T., Carter, F., GplusE Consortium & Dehareng, F. (2019). Potential of milk mid-IR spectra to predict metabolic status of cows through blood components and an innovative clustering approach. Animal, 13(3), 649-658. https://doi.org/10.1017/S1751731118001751
Larsen, N., de Souza, C. B., Krych, L., Cahu, T. B., Wiese, M., Kot, W., Hansen, K. M., Blennow, A., Venema, K. & Jespersen, L. (2019). Potential of Pectins to Beneficially Modulate the Gut Microbiota Depends on Their Structural Properties. Frontiers in Microbiology, 10(FEB), Article 223. https://doi.org/10.3389/fmicb.2019.00223
Canibe, N., O'Dea, M. & Abraham, S. (2019). Potential relevance of pig gut content transplantation for production and research. Journal of Animal Science and Biotechnology, 10(1), Article 55. https://doi.org/10.1186/s40104-019-0363-4
Krecl, P., Targino, A. C., Ketzel, M., Cipoli, Y. A. & Charres, I. (2019). Potential to reduce the concentrations of short-lived climate pollutants in traffic environments: A case study in a medium-sized city in Brazil. Transportation Research Part D: Transport and Environment, 69, 51-65. https://doi.org/10.1016/j.trd.2019.01.032
Andersen, M. N. (2019). Potentielle merudbytter for markvanding i Danmark. Abstract from Plantekongres 2019, Herning, Denmark.
Wiese, M., Bashmakov, Y., Chalyk, N., Nielsen, D. S., Krych, L., Kot, W., Klochkov, V., Pristensky, D., Bandaletova, T., Chernyshova, M., Kyle, N. & Petyaev, I. (2019). Prebiotic Effect of Lycopene and Dark Chocolate on Gut Microbiome with Systemic Changes in Liver Metabolism, Skeletal Muscles and Skin in Moderately Obese Persons. BioMed Research International, 2019, Article 4625279. https://doi.org/10.1155/2019/4625279
Ferrante, M., Lövei, G. L., Magagnoli, S., Minarcikova, L., Tomescu, E. L., Burgio, G., Cagan, L. & Ichim, M. C. (2019). Predation pressure in maize across Europe and in Argentina: an intercontinental comparison. Insect Science, 26(3), 545-554. https://doi.org/10.1111/1744-7917.12550
Nabe-Nielsen, J., van Beest, F., Grimm, V., Sibly, R., Teilmann, J. & Thompson, P. (2019). Predicting cumulative impacts of disturbances on marine populations. Abstract from World Marine Mammal Conference, Barcelona, Spain.
Hermansen, C., Møldrup, P., Müller, K., Knadel, M., Greve, M. H. & de Jonge, L. W. (2019). Predicting Glyphosate Sorption Across New Zealand Pastoral Soils Using Basic Soil Properties or Vis–NIR Spectroscopy. Abstract from 2018 - 2019 SSSA International Soils Meeting , San Diego, California, United States.
Khodadad Motarjemi, S., Møller, A. B., Nagy, D., Plauborg, F. & Iversen, B. V. (2019). Predicting Tile Drainage Discharge Using Machine Learning Techniques. Poster session presented at 2018 - 2019 SSSA International Soils Meeting , San Diego, California, United States.
Hellwing, A. L. F., Nielsen, N. I., Weisbjerg, M. R. & Lund, P. (2019). Prediction of enteric methane can be improved by using the NorFor feed evaluation system for dairy cows. In A. Berndt, L. G. P. Ribeiro & A. L. Abdalla (Eds.), Proceedings of the 7th GGAA (pp. 87-87). Embrapa Southeast Livestock. http://www.ggaa2019.org/sites/default/files/proceedings-ggaa2019.pdf
Nielsen, B., Ask, B., Gao, H. & Su, G. (2019). Prediction of individual breeding values from group recordings. Abstract from Abstract from 70th Annual Meeting of the European Federation of Animal Science EAAP 2019, Ghent, Belgium, Ghent, Belgium.
De Koster, J., Salavati, M., Grelet, C., Crowe, M. A., Matthews, E., O'Flaherty, R., Opsomer, G., Foldager, L., GplusE Consortium & Hostens, M. (2019). Prediction of metabolic clusters in early lactation dairy cows using models based on milk biomarkers. Journal of Dairy Science, 102(3), 2631-2644. https://doi.org/10.3168/jds.2018-15533