Stæhr, P. A., Christensen, J. P. A., Koefoed Rømer, J., Carstensen, J. & Lønborg, C. (2021).
Bøjemålinger øger forståelsen af fjordenes dynamik.
Vand & Jord,
28(1), 12-15.
Dünweber, M., Kjellerup, S., Schiedek, D., Boertmann, D. M., Mosbech, A. & Johansen, K. L. (2021).
Box 1. Coupling lower trophic level to seabird distribution. I D. Boertmann & A. Mosbech (red.),
Disko West – an updated strategic environmental impact assessment of oil and gas activities (s. 66-71). Aarhus University, DCE - Danish Centre for Environment and Energy.
https://dce2.au.dk/pub/SR438.pdf
Ekstrand, B., Scheers, N.
, Rasmussen, M. K., Young, J. F., B. Ross, A. & Landberg, R. (2021).
Brain foods - the role of diet in brain performance and health.
Nutrition Reviews,
79(6), 693-708. Artikel nuaa091.
https://doi.org/10.1093/nutrit/nuaa091Manzanilla Pech, C. I. V., Løvendahl, P., Mansan Gordo, D. G., Difford, G., Pryce, J., Schenkel, F. S., Wegmann, S., Miglior, F., Chud, T. C. S., Moate, P. J., Williams, S. R. O., Richardson, C. M., Stothard, P.
& Lassen, J. (2021).
Breeding for reduced methane emission and feed-efficient Holstein cows: An international response.
Journal of Dairy Science,
104(8), 8983-9001.
https://doi.org/10.3168/jds.2020-19889
Scott-Fordsmand, J. J., Amorim, M. J. D. B., de Garidel-Thoron, C., Castranova, V., Hardy, B., Linkov, I., Feitshans, I., Nichols, G., Petersen, E. J., Spurgeon, D., Tinkle, S., Vogel, U., Westerhoff, P., Wiesner, M. R. & Hendren, C. O. (2021).
Bridging international approaches on nanoEHS.
Nature Nanotechnology,
16(6), 608-611.
https://doi.org/10.1038/s41565-021-00912-5
Eskildsen, C. E., Næs, T., B. Skou, P., Solberg, L. E., R. Dankel, K., B. Basmoen, S., Wold, J. P., S. Horn, S., Hillestad, B.
, Poulsen, N. A., Christensen, M., Pieper, T., Afseth, N. K. & B. Engelsen, S. (2021).
Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory variables.
Chemometrics and Intelligent Laboratory Systems,
213, Artikel 104311.
https://doi.org/10.1016/j.chemolab.2021.104311Kamp, J. N., Häni, C.
, Nyord, T., Feilberg, A. & Sørensen, L. L. (2021).
Calculation of NH3 Emissions, Evaluation of Backward Lagrangian Stochastic Dispersion Model and Aerodynamic Gradient Method.
Atmosphere,
12(1), Artikel 102.
https://doi.org/10.3390/atmos12010102
Guo, D., Olesen, J. E., Pullens, J. W. M., Guo, C. & Ma, X. (2021).
Calibrating AquaCrop model using genetic algorithm with multi-objective functions applying different weight factors.
Agronomy Journal,
113(2), 1420-1438.
https://doi.org/10.1002/agj2.20588
Dyrmann, M., Mortensen, A. K., Linneberg, L.
, Høye, T. T. & Bjerge, K. (2021).
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.
Sensors (Switzerland),
21(18), Artikel 6126.
https://doi.org/10.3390/s21186126
Andersen, L. H., Nummi, P., Rafn, J., Frederiksen, C. M. S., Kristjansen, M. P.
, Lauridsen, T. L., Trøjelsgaard, K., Pertoldi, C., Bruhn, D. & Bahrndorff, S. (2021).
Can reed harvest be used as a management strategy for improving invertebrate biomass and diversity? Journal of Environmental Management,
300, Artikel 113637.
https://doi.org/10.1016/j.jenvman.2021.113637Møller, A. B., Mulder, V. L., Heuvelink, G. B. M.
, Jacobsen, N. M. & Greve, M. H. (2021).
Can We Use Machine Learning for Agricultural Land Suitability Assessment? Agronomy,
11(4), Artikel 703.
https://doi.org/10.3390/agronomy11040703
Christiansen, J. R., Röckmann, T., Popa, M. E., Sapart, C. J.
& Jørgensen, C. J. (2021).
Carbon Emissions From the Edge of the Greenland Ice Sheet Reveal Subglacial Processes of Methane and Carbon Dioxide Turnover.
Journal of Geophysical Research: Biogeosciences,
126(11), Artikel e2021JG006308.
https://doi.org/10.1029/2021JG006308González-Quintero, R.
, Kristensen, T., Sánchez-Pinzón, M. S., Bolívar-Vergara, D. M.
, Chirinda, N., Arango, J., Pantevez, H., Barahona-Rosales, R.
& Knudsen, M. T. (2021).
Carbon footprint, non-renewable energy and land use of dual-purpose cattle systems in Colombia using a life cycle assessment approach.
Livestock Science,
244, Artikel 104330.
https://doi.org/10.1016/j.livsci.2020.104330Thomsen, M. S., Mondardini, L., Thoral, F., Gerber, D., Montie, S., South, P. M., Tait, L., Orchard, S., Alestra, T. & Schiel, D. R. (2021).
Cascading impacts of earthquakes and extreme heatwaves have destroyed populations of an iconic marine foundation species.
Diversity and Distributions,
27(12), 2369-2383.
https://doi.org/10.1111/ddi.13407
Wernlund, P. G., Hvas, C. L., Dahlerup, J. F., Bahl, M. I., Licht, T. R.
, B Knudsen, K. E. & Agnholt, J. S. (2021).
Casein glycomacropeptide is well tolerated in healthy adults and changes neither high-sensitive C-reactive protein, gut microbiota nor faecal butyrate: a restricted randomised trial.
The British Journal of Nutrition,
125(12), 1374–1385.
https://doi.org/10.1017/S0007114520003736
Jenni, A., Holinger, M., Früh, B., Eppenstein, R., Bochicchio, D.
, Kongsted, A. G. & Thomsen, R. (2021).
Case studies on innovative combined indoor/outdoor organic pig systems. I O. Schmid, M. Johnson, M. Vaarst & B. Früh (red.),
Organic Animal Husbandry systems – Ways to improvement: Proceedings of the IAHA Pre-Conference on Organic Animal Husbandry (s. 101-104). FiBL.
Aguilera Toro, M., Poulsen, N. A., Wiking, L., Larsen, L. B., Hansen, L. T., Rauh, V. & Xiao, Y. (2021).
Catching the persistent bacteria: New research shall predict the effects of microbiological enzymes on stability and quality of UHT milk using omics-technologies. Mælkertidende,
134(9).
https://maelkeritidende.dk/sites/default/files/udgivelser/Forskningsartikler/sider_fra_4317030_mt_09_2021_forskning_lotte_larsen.pdf?_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en-US&_x_tr_pto=nui
Kongsted, H., Haugegaard, S., Juel, A. S., Salomonsen, C. M. & Jensen, T. K. (2021).
Causes of spontaneous sow deaths in the farrowing units of 10 Danish sow herds.
Research in Veterinary Science,
139, 127-132.
https://doi.org/10.1016/j.rvsc.2021.07.021
Hay, F., Whitehouse, K. J., Ellis, R. H., Hamilton, N. R. S., Lusty, C., Ndjiondjop, M. N., Tia, D., Wenzl, P., Santos, L. G., Yazbek, M., Azevedo, V. C. R., Peerzada, O. H., Abberton, M., Oyatomi, O., de Guzman, F., Capilit, G., Muchugi, A. & Kinyanjui, Z. (2021).
CGIAR genebank viability data reveal inconsistencies in seed collection management.
Global Food Security,
30, Artikel 100557.
https://doi.org/10.1016/j.gfs.2021.100557
Vibart, R., de Klein, C., Jonker, A., van der Weerden, T., Bannink, A., Bayat, A. R., Crompton, L., Durand, A., Eugène, M., Klumpp, K., Kuhla, B., Lanigan, G.
, Lund, P., Ramin, M. & Salazar, F. (2021).
Challenges and opportunities to capture dietary effects in on-farm greenhouse gas emissions models of ruminant systems.
Science of the Total Environment,
769, Artikel 144989.
https://doi.org/10.1016/j.scitotenv.2021.144989Kiiker, R., Juurik, M.
, Heick, T. M. & Mäe, A. (2021).
Changes in DMI, SDHI, and QoI Fungicide Sensitivity in the Estonia Zymoseptoria tritici Population between 2019 and 2020.
Microorganisms,
9(4), Artikel 814.
https://doi.org/10.3390/microorganisms9040814Therkildsen, O. R., Balsby, T. J. S., Kjeldsen, J. P.
, Nielsen, R. D. & Fox, A. D. (2021).
Changes in flight paths of large-bodied birds after construction of large terrestrial wind turbines.
Journal of Environmental Management,
290, Artikel 112647.
https://doi.org/10.1016/j.jenvman.2021.112647
Yu, J., Zhen, W., Kong, L., He, H., Zhang, Y., Yang, X., Chen, F., Zhang, M., Liu, Z.
& Jeppesen, E. (2021).
Changes in pelagic fish community composition, abundance, and biomass along a productivity gradient in subtropical lakes.
Water (Switzerland),
13(6), Artikel 858.
https://doi.org/10.3390/w13060858
