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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Riber, A. B. & Hinrichsen, L. K. (2017). Welfare Consequences of Omitting Beak Trimming in Barn Layers. Frontiers in Veterinary Science, 4(DEC), Article 222. https://www.frontiersin.org/articles/10.3389/fvets.2017.00222/full?utm_source=F-NTF&utm_medium=EMLX&utm_campaign=PRD_FEOPS_20170000_ARTICLE

Jensen, M. B. & Proudfoot, K. (2023). Welfare at Calving and of the Growing Animals. In M. Haskell (Ed.), Cattle Welfare in Dairy and Beef Systems. Animal Welfare: A New Approach to Global Issues (pp. 265-295). Springer. https://doi.org/10.1007/978-3-031-21020-4_10

Rasmussen, S. (2024). Welfare Assessments of Broiler Chickens: Exploring Confounding Factors. Århus Universitet.

Houe, H., Sandøe, P. & Thomsen, P. T. (2011). Welfare assessments based on lifetime health and production data in Danish dairy cows. Journal of Applied Animal Welfare Science, 14(3), 255-264. https://doi.org/10.1080/10888705.2011.576984

Møller, S. H., Hansen, S. W., Malmkvist, J., Vinke, C. M., Lidfors, L., Gaborit, M. & Botreau, R. (2015). Welfare assessment protocol for mink. Fur Europe.

Tahamtani, F. M., Hinrichsen, L. K. & Riber, A. B. (2018). Welfare assessment of conventional and organic broilers in Denmark, with emphasis on leg health. Veterinary Record, 183(6), 192. https://doi.org/10.1136/vr.104817

Søndergaard, L. V., Dagnæs-Hansen, F. & Herskin, M. S. (2011). Welfare assessment in porcine biomedical research – Suggestion for an operational tool. Research in Veterinary Science, 91(3), e1-e9. https://doi.org/10.1016/j.rvsc.2011.02.008

Nielsen, T. R. (2002). Welfare assessment in dairy cattle herds with loose-housing cubicle systems - Development and evaluation of welfare indicators. Departement of Animal Science and Animal Health, The Royal Veterianry and Agricultural University and the dept. og Animal Health and Welfare, Danish Institute of Agricultural Sciences.

Nielsen, T. R. (2003). Welfare assessment in dairy cattle herds with loose-housing cubicle systems: Development and evaluation of welfare indicators. Ph.D. Thesis, DIAS report, Animal Husbandry 45. Aarhus Universitet, Det Jordbrugsvidenskabelige Fakultet.

Bonde, M. (2002). Welfare assessment in a commercial sow herd - Development, evaluation and report of the method. Dept. of Animal Science and Animal Health, The Royal Veterinary and Agricultural University, and the Dept. of Animal Health and Welfare, Danish Institute of Agriculatural Sciences.

Bonde, M. (2003). Welfare assessment in a commercial sow herd. Aarhus Universitet, Det Jordbrugsvidenskabelige Fakultet. DIAS Report Animal Husbandry Vol. 46

Gunn, M., Allen, P., Bonneau, M., Byrne, D. V., Cinotti, S., Fredriksen, B., Hansen, L. L., Karlsson, A. H., Giersing Linder, M., Lundstrom, K., Morton, D. B., Prunier, A., Squires, E. J., Tuyttens, F., Calvo, A. V., Borell, E. H. V. & Wood, J. (2004). Welfare Aspects of The Castration of Piglets.

Hegelund, L., Sørensen, J. T. & Hermansen, J. E. (2006). Welfare and productivity of laying hens in commercial organic egg production systems in Denmark. NJAS - Wageningen Journal of Life Sciences, 54(2), 147-155. http://library.wur.nl/ojs/index.php/njas/article/viewArticle/1156

Christensen, K. R. (2015). Welcoming and taking good care of the new PhD student - experiences from the PhD programme. Abstract from University of Ghana Doctoral Students Research Conference, Accra, Ghana.

Iversen, T. M., Nijland, H. J. (Ed.) & Cals, M. J. R. (Ed.) (2001). Welcome Address. RIZA rapport, 2001.023, 35-37.

Hymøller, L. & Jensen, S. K. (2015). We know next to nothing about vitamin D in horses! Journal of Equine Veterinary Science, 35(10), 785-792. https://doi.org/10.1016/j.jevs.2015.06.010

Grigaliunaite, I., Tapio, M., Holm, L.-E., Jeppsson, S., Kantanen, J., Miceikiene, I., Olsaker, I., Viinalass, H. & Eythorsdottir, E. (2002). Weitzman approach and components of diversity in Nothern European sheep breeds. In Proc. XXVIII ISAG (pp. 100)

Grigaliunaite, I., Tapio, M., Holm, L.-E., Jeppsson, S., Kantanen, J., Miceikiene, I., Olsaker, I., Viinalass, H. & Eythorsdottir, E. (2002). Weitzman approach and components of diversity in Northern European sheep breeds. In Proc. 7th WCGALP, 33: CD-rom Communication No 26-37 (pp. 617-620). Editions Quae.

Lecocq, A., Kryger, P., Vejsnæs, F. & Bruun-Jensen, A. (2015). Weight watching and the effect of landscape on honeybee colony productivity: Investigating the value of colony weight monitoring for the beekeeping industry. Abstract from Nordic Baltic Apicultural Research Symposium, Købehavn, Denmark.

Mortensen, A. K., Lisouski, P. & Ahrendt, P. (2016). Weight prediction of broiler chickens using 3D computer vision. Computers and Electronics in Agriculture, 123, 319-326. https://doi.org/10.1016/j.compag.2016.03.011

Sanderson, H., Fauser, P., Thomsen, M. & Larsen, J. (2012). Weight-of-evidence environmental risk assessment of dumped chemical weapons after WWII along the Nord-Stream gas pipeline in the Bornholm Deep. Journal of Hazardous Materials, 215-216, 217-226.

Fauser, P., Pedersen, E. A. & Christensen, I. M. A. (2018). Weight-of-Evidence environmental risk assessment. In NATO Science for Peace and Security Series C: Environmental Security (pp. 183-212). Springer. https://doi.org/10.1007/978-94-024-1153-9_8

Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Weighting sequence variants based on their annotation increases the power of genome-wide association studies in dairy cattle. Genetics Selection Evolution, 51(1), 20. Article 20. https://doi.org/10.1186/s12711-019-0463-9

Møller, S. H. (1991). Weight gain and hair chewing in mink kits placed singly or in pairs from September.

Jørgensen, E. (2007). Weight Estimation for Pigs via Image Analysis. In Trends and Perspective in Agriculture (2 ed., Vol. 3, pp. 379-380). Nordic Association of Agricultural Scientists - NJF.

Liu, A., Lund, M. S., Boichard, D., Karaman, E., Guldbrandtsen, B., Fritz, S., Aamand, G. P., Nielsen, U. S., Sahana, G., Wang, Y. & Su, G. (2020). Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses. Genetics Selection Evolution, 52(1), Article 48. https://doi.org/10.1186/s12711-020-00568-0

Karaman, E., Lund, M. S., Anche, M. T., Janss, L. & Su, G. (2017). Weighted Multi-Trait GBLUP: Using (co)variance estimates from Bayesian models. Poster session presented at 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Denmark.

Xu, L., Iosifidis, A. & Gabbouj, M. (2018). Weighted Linear Discriminant Analysis Based on Class Saliency Information. In 2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings: Proceedings (pp. 2306-2310). Article 8451614 IEEE. https://doi.org/10.1109/ICIP.2018.8451614

Gross, A. & Jønch-Sørensen, H. (2009). Weighted Ensemble-Based Air Quality Forecasts: Report to Global and regional Earth-system Monitoring using Satellite and in-situ data (GEMS) Integrated Project under EU Framework Programme 6. European Commission.

Møller, S. H. & Hansen, S. W. (2008). Weight development and behaviour of mink in the nursing period with and without the use of spray watering. Scientifur, 17(2), 107-114.

Andersson, N. E. (2001). Weight controlled irrigation of potted plants. In Acta Horticulturae 559 (pp. 371-375) http://www.pubhort.org/actahort/books/559/559_55.htm

Thomsen, R., Edwards, S., Jensen, B. B., Rousing, T. & Sørensen, J. T. (2015). Weight and season affects androstenone and skatole occurrence in entire male pigs in organic pig production. Animal, 9(9), 1577-1586. https://doi.org/10.1017/S1751731115000786

Damgaard, L. H., Korsgaard, I. R., Simonsen, J., Dalsgaard, O. & Andersen, A. H. (2003). Weibull log-normal sire frailty models. In Book of Abstracts (pp. 73)

Ye, J., Fang, L., Zheng, H., Zhang, Y., Chen, J., Zhang, Z., Wang, J., Li, S., Li, R., Bolund, L. & Wang, J. (2006). WEGO: a web tool for plotting GO annotations. Nucleic Acids Research, 34(Web Server issue), W293-7. https://doi.org/10.1093/nar/gkl031

Kjær, A., Yin, H., Verstappen, F., Bouwmeester, H., Ivarsen, E., Fretté, X., Porskjær Christensen, L., Grevsen, K. & Jensen, M. (2015). Week long effects of applied stress on the production of artemisinin and precursors in Artemisia annua L. plants. Journal of Plant Biology Research, 4(2), 83-93. http://www.inast.org/issue%2014%202015/4-V110115%20final%20proof.pdf

Hald, A. B. (1999). Weed Vegetation (Wild Flora) of Long Established Organic Versus Conventional Cereal Fields in Denmark. Annals of Applied Biology, 134, 307-314.

Reiss, A., Fomsgaard, I. S., Mathiassen, S. K. & Kudsk, P. (2018). Weed suppressive traits of winter cereals: Allelopathy and competition. Biochemical Systematics and Ecology, 76, 35-41. https://doi.org/10.1016/j.bse.2017.12.001

Reiss, A., Fomsgaard, I. S., Mathiassen, S. K. & Kudsk, P. (2016). Weed suppressive potential of winter cereals: Allelopathic and competitive traits. In L. Bona & K. V. Cooper (Eds.), Book of Abstracts: 9th International Triticale Symposium (pp. 46-46) http://plantbreeders.hu/files/9th%20ITS%20-%20Book%20of%20Abstracts.pdf

Christensen, S. (1993). Weed suppression in cereal varieties.

Reiss, A. (2018). Weed suppression by winter cereals: Relative contribution of competition for resources and allelopathy. Aarhus Universitet, Institut for Agroøkologi.

Reiss, A., Fomsgaard, I. S., Mathiassen, S. K., Stuart, R. M. & Kudsk, P. (2018). Weed suppression by winter cereals: relative contribution of competition for resources and allelopathy. Chemoecology, 28(4-5), 109-121. https://doi.org/10.1007/s00049-018-0262-8

Reiss, A., Fomsgaard, I. S., Mathiassen, S. K., Randhawa, H. S. & Kudsk, P. (2018). Weed suppression by Canadian spring cereals: relative contribution of competition for resources and allelopathy. Chemoecology, 28(6), 183–187 . https://doi.org/10.1007/s00049-018-0267-3

Christensen, S. (1995). Weed suppression ability og spring barley varieties. Weed Research, 35, 241-249.

Petersen, J. (2003). Weed - spring barley competition for applied nitrogen in pig slurry. Weed Research, 43, 33-39.

Hofmeijer, M. A. J., Melander, B., Salonen, J., Lundkvist, A., Zarina, L. & Gerowitt, B. (2021). Weed Species Trait Selection as Shaped by Region and Crop Diversity in Organically Managed Spring Cereals. Agriculture, 11(5), Article 433. https://doi.org/10.3390/agriculture11050433

Mathiassen, S. K., Andersson, K. J. & Kudsk, P. N. (2010). Weed species respond differently to laser. In Proceedings of the 15th EWRS Symposium (pp. 269)

Mathiassen, S. K., Andersson, K. J. & Kudsk, P. N. (2010). Weed species respond differently to laser. Poster session presented at 15th EWRS Symposium, Kaposvar, Hungary.

Heisel, T. (2001). Weeds in sugar beet rows.

Navntoft, S., Wratten, S. D., Kristensen, K. & Esbjerg, P. (2009). Weed seed predation in organic and conventional fields. Biological Control, 49(1), 11-16. https://doi.org/10.1016/j.biocontrol.2008.12.003

Scherner, A. (2015). Weed seed germination in winter cereals under contrasting tillage systems. NJF Report, 11(2), 18-18.

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