Lilja, M. A., Buivydaite, Z., Zervas, A., Krogh, P. H., Winding, B. W.
, Winding, A. & Sapkota, R. (2023).
Comparing Earthworm Biodiversity Estimated by DNA Metabarcoding and Morphology-based Approaches.
Applied Soil Ecology,
185, [104798].
https://doi.org/10.1016/j.apsoil.2022.104798
Guardia, G.
, Abalos, D., Mateo-Marín, N., Nair, D.
& Petersen, S. O. (2023).
Using DMPP with cattle manure can mitigate yield-scaled global warming potential under low rainfall conditions.
Environmental Pollution,
316(Part 2), [120679].
https://doi.org/10.1016/j.envpol.2022.120679
Cao, H., Henze, D. K., Zhu, L., Shephard, M. W., Cady-Pereira, K., Dammers, E., Sitwell, M., Heath, N., Lonsdale, C., Bash, J. O., Miyazaki, K., Flechard, C., Fauvel, Y., Kruit, R. W., Feigenspan, S., Brümmer, C., Schrader, F., Twigg, M. M., Leeson, S. ... Capps, S. L. (2022).
4D-Var Inversion of European NH3 Emissions Using CrIS NH3 Measurements and GEOS-Chem Adjoint With Bi-Directional and Uni-Directional Flux Schemes.
Journal of Geophysical Research: Atmospheres,
127(9), [e2021JD035687].
https://doi.org/10.1029/2021JD035687
Salunke, S., Ahuja, B., Hashmi, M. F., Marriboyina, V.
& Bokde, N. D. (2022).
5D Gauss Map Perspective to Image Encryption with Transfer Learning Validation.
Applied Sciences,
12(11), [5321].
https://doi.org/10.3390/app12115321
Yu, G., Matny, O., Champouret, N., Steuernagel, B., Moscou, M. J., Hernandez-Pinzon, I., Green, P., Hayta, S., Smedley, M., Harwood, W., Kangara, N., Yue, Y., Gardener, C., Banfield, M. J., Olivera, P. D., Welchin, C., Simmons, J., Millet, E., Minz-Dub, A. ... Wulff, B. B. H. (2022).
Aegilops sharonensis genome-assisted identification of stem rust resistance gene Sr62.
Nature Communications,
13(1), [1607].
https://doi.org/10.1038/s41467-022-29132-8
Duan, X., Wallis, D., Hatjina, F., Simon-Delso, N., Bruun Jensen, A.
& Topping, C. J. (2022).
ApisRAM Formal Model Description.
EFSA Supporting Publications,
19(2), [EN-7184].
https://doi.org/10.2903/sp.efsa.2022.EN-7184
Malla, S., van der Helm, E.
, Darbani, B., Wieschalka, S., Förster, J., Borodina, I. & Otto Alexander Sommer, M. (2022).
A Novel Efficient L-Lysine Exporter Identified by Functional Metagenomics.
Frontiers in Microbiology,
13, [855736].
https://doi.org/10.3389/fmicb.2022.855736
Sammad, A., Zhang, H., Shi, R., Dong, Y., Luo, H., Chen, Z., Liu, L., Guo, G.
, Liu, A. & Wang, Y. (2022).
A Post-GWAS Functional Analysis Confirming Effects of Three BTA13 Genes CACNB2, SLC39A12, and ZEB1 on Dairy Cattle Reproduction.
Frontiers in Genetics,
13, [882951].
https://doi.org/10.3389/fgene.2022.882951
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), [8107].
https://doi.org/10.3390/en15218107
Eriksen, A., Versluijs, E., Fuchs, B., Zimmermann, B., Wabakken, P., Ordiz, A.
, Sunde, P., Wikenros, C., Sand, H., Gillich, B., Michler, F., Nordli, K., Carricondo-Sanchez, D., Gorini, L. & Rieger, S. (2022).
A Standardized Method for Experimental Human Approach Trials on Wild Wolves.
Frontiers in Ecology and Evolution,
10, [793307].
https://doi.org/10.3389/fevo.2022.793307
Lashkari, S., Jørgensen, H., Weisbjerg, M. R., Lund, P., Hellwing, A. L. F., Dalby, F. R. & Børsting, C. F. (2022).
A Static Balance Model Quantifying Nutrients in Feces, Urine and Gasses of Cattle and Pigs. I
8th International Greenhouse Gas & Animal Agriculture Conference: Program & Abstracts (s. 74).
https://conference.ifas.ufl.edu/ggaa/documents/GGAA-2022-Program-Abstracts-Online.pdf
Azwar, E., Chan, D. J. C., Kasan, N. A., Rastegari, H., Yang, Y.
, Sonne, C., Tabatabaei, M., Aghbashlo, M. & Lam, S. S. (2022).
A comparative study on physicochemical properties, pyrolytic behaviour and kinetic parameters of environmentally harmful aquatic weeds for sustainable shellfish aquaculture.
Journal of Hazardous Materials,
424(Part A), [127329].
https://doi.org/10.1016/j.jhazmat.2021.127329
Breda, D., Frizzera, D., Giordano, G., Seffin, E., Zanni, V., Annoscia, D.
, Topping, C. J., Blanchini, F. & Nazzi, F. (2022).
A deeper understanding of system interactions can explain contradictory field results on pesticide impact on honey bees.
Nature Communications,
13, [5720].
https://doi.org/10.1038/s41467-022-33405-7
Kurbanov, R. N., Buylaert, J. P., Stevens, T., Taratunina, N. A., Belyaev, V. R., Makeev, A. O., Lebedeva, M. P., Rusakov, A. V., Solodovnikov, D., Költringer, C., Rogov, V. V., Streletskaya, I. D.
, Murray, A. S. & Yanina, T. A. (2022).
A detailed luminescence chronology of the Lower Volga loess-palaeosol sequence at Leninsk.
Quaternary Geochronology,
73, [101376].
https://doi.org/10.1016/j.quageo.2022.101376
Wu, Y., Santos, S., Madsen, M. V., Gonzalez, A. M. M., Ma, L., Feng, Y. & Yang, X. (2022).
A field study reveals links between hyperaccumulating Sedum plants-associated bacterial communities and Cd/Zn uptake and translocation.
Science of the Total Environment,
805, [150400].
https://doi.org/10.1016/j.scitotenv.2021.150400
Schürz, C., Čerkasova, N., Strauch, M., Plunge, S., Piniewski, M., Arnold, J. G.
& Bieger, K. (2022).
A framework for constructing SWAT+ model setups based on contiguous objects and their connectivity. Abstract fra 2022 International SWAT Conference, Prague, Tjekkiet.
Andersen, O. M., Bøgh, N., Landau, A. M., Pløen, G. G., Jensen, A. M. G., Monti, G., Ulhøi, B. P., Nyengaard, J. R., Jacobsen, K. R.
, Jørgensen, M. M., Holm, I. E.
, Kristensen, M. L., Alstrup, A. K. O., Hansen, E. S. S., Teunissen, C. E., Breidenbach, L., Droescher, M.
, Liu, Y., Pedersen, H. S. ... Sørensen, C. B. (2022).
A genetically modified minipig model for Alzheimer's disease with SORL1 haploinsufficiency.
Cell Reports Medicine,
3(9), [100740].
https://doi.org/10.1016/j.xcrm.2022.100740
Liu, Y., Ji, M., Yu, T., Zaugg, J.
, Anesio, A. M., Zhang, Z., Hu, S., Hugenholtz, P., Liu, K., Liu, P., Chen, Y., Luo, Y. & Yao, T. (2022).
A genome and gene catalog of glacier microbiomes.
Nature Biotechnology,
40(9), 1341-1348.
https://doi.org/10.1038/s41587-022-01367-2
Gobbi, A., Acedo, A., Imam, N., Santini, R. G., Ortiz-Álvarez, R.
, Ellegaard-Jensen, L., Belda, I. & Hansen, L. H. (2022).
A global microbiome survey of vineyard soils highlights the microbial dimension of viticultural terroirs.
Communications Biology,
5, [241].
https://doi.org/10.1038/s42003-022-03202-5
Moolhuijzen, P., See, P. T., Shi, G., Powell, H. R., Cockram, J.
, Jørgensen, L. N., Benslimane, H., Strelkov, S. E., Turner, J., Liu, Z. & Moffat, C. S. (2022).
A global pangenome for the wheat fungal pathogen Pyrenophora tritici-repentis and prediction of effector protein structural homology.
Microbial Genomics,
8(10), [000872].
https://doi.org/10.1099/mgen.0.000872
Skrivergaard, S., Abraham, A., Rasmussen, M. K., Young, J. F. & Therkildsen, M. (2022).
A high-throughput multipurpose image-based cell analysis platform. Poster session præsenteret ved INTERNATIONAL SCIENTIFIC CONFERENCE ON CULTURED MEAT 2022, Maastricht, Holland.
Lu, H., Rui, X., Ding, Y., Chang, Y., Chen, Y., Ding, J.
& Zhang, X. (2022).
A hybrid numerical method for vibration analysis of linear multibody systems with flexible components.
Applied Mathematical Modelling,
101, 748-771.
https://doi.org/10.1016/j.apm.2021.09.015
Nøjgaard, J. K., Peker, L., Pernov, J. B., Johnson, M. S.
, Bossi, R., Massling, A., Lange, R., Nielsen, I. E., Prevot, A. S. H., Eriksson, A. C., Canonaco, F.
& Skov, H. (2022).
A local marine source of atmospheric particles in the High Arctic.
Atmospheric Environment,
285, [119241].
https://doi.org/10.1016/j.atmosenv.2022.119241
Jacobsen, M. W., Jensen, N. W., Nygaard, R., Præbel, K., Jónsson, B., Nielsen, N. H.
, Pujolar, J. M., Fraser, D. J., Bernatchez, L.
& Hansen, M. M. (2022).
A melting pot in the Arctic: Analysis of mitogenome variation in Arctic char (Salvelinus alpinus) reveals a 1000-km contact zone between highly divergent lineages.
Ecology of Freshwater Fish,
31(2), 330-346.
https://doi.org/10.1111/eff.12633
Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M.
, Thomas Høye, T., Jensen, B., Johnen, G.
, Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S.
, Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C.
, Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022).
A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas.
HardwareX,
12, [e00331].
https://doi.org/10.1016/j.ohx.2022.e00331
Rasmussen, J. A., Villumsen, K. R., Ernst, M.
, Hansen, M., Forberg, T., Gopalakrishnan, S., Gilbert, M. T. P., Bojesen, A. M., Kristiansen, K. & Limborg, M. T. (2022).
A multi-omics approach unravels metagenomic and metabolic alterations of a probiotic and synbiotic additive in rainbow trout (Oncorhynchus mykiss).
Microbiome,
10, [21].
https://doi.org/10.1186/s40168-021-01221-8
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
Pastor Rollan, A., Ospina-Álvarez, A.
, Larsen, J., Thorbjørn Hansen, F.
, Krause-Jensen, D. & Maar, M. (2022).
A network analysis of connected biophysical pathways to advice eelgrass (Zostera marina) restoration. Marine Environmental Research,
179, [105690].
https://doi.org/10.1016/j.marenvres.2022.105690
Kronvang, B., Zak, D. H., Carstensen, M. V., Audet, J. & Hoffmann, C. C. (2022).
A new era of agro-environmental nutrient management practices in catchments. Abstract fra Soil and Water Conservation under changing climate in Northern and high-altitude conditions, ÅS, Norge.
Holmstrup, M. E. D., Gadeberg, S. F., Engell-Sørensen, K.
, Slotsbo, S. & Holmstrup, M. (2022).
A new strategy in rearing of European flounder: using live Enchytraeus albidus to enhance juvenile growth.
Journal of Insects as Food and Feed,
8(11), 1333-1341.
https://doi.org/10.3920/JIFF2021.0106
Kronvang, B., Larsen, S. E., Windolf, J., Tornbjerg, H. & Rolighed, J. (2022).
A novel machine learning national model for diffuse source total phosphorus concentrations in streams. Abstract fra LUWQ2022 - Land use and water quality: Agriculture and the Environment, Maastricht, Holland.