Engel, B., Webb, L. E.
, Jensen, M. B., van Reenen, C. G. & Bokkers, E. A. M. (2014).
Methods for cross point analysis of double-demand functions in assessing animal preferences.
Applied Animal Behaviour Science,
160, 138-147.
https://doi.org/10.1016/j.applanim.2014.09.004
Yuan, Y.
, Krogh, P. H., Bai, X., Roelofs, D., Chen, F., Zhu-Salzman, K., Liang, Y., Sun, Y. & Ge, F. (2014).
Microarray detection and qPCR screening of potential biomarkers of Folsomia candida (Collembola: Isotomidae) exposed to Bt proteins (Cry1Ab and Cry1Ac).
Environmental Pollution,
184, 170-178.
https://doi.org/10.1016/j.envpol.2013.08.014
Adrados, B., Sánchez, O.
, Arias, C. A., Becares, E., Garrido, L., Mas, J.
, Brix, H. & Morató, J. (2014).
Microbial communities from different types of natural wastewater treatment systems: vertical and horizontal flow constructed wetlands and biofilters.
Water Research,
55, 304-312.
https://doi.org/10.1016/j.watres.2014.02.011
Santl-Temkiv, T., Sahyoun, M., Korsholm , U., Sørensen , J. H., Nielsen, N. W.
, Kjeldsen, H., Ling, M., Boesen, T. & Karlson, U. G. (2014).
Microbial production of ice crystals in clouds as a novel atmospheric biosignature.
Santl-Temkiv, T., Sahyoun, M., Kjeldsen, H., Ling, M., Boesen, T., Karlson, U. G.
& Finster, K. (2014).
Microbial production of ice crystals in clouds as a novel atmospheric biosignature.
Saenz Del Burgo, L., Compte, M., Aceves, M., Hernández, R. M., Sanz, L.
, Alvarez-Vallina, L. & Pedraz, J. L. (2014).
Microencapsulation of therapeutic bispecific antibodies producing cells: immunotherapeutic organoids for cancer management.
Journal of drug targeting, 1-10.
https://doi.org/10.3109/1061186X.2014.971327
Young, J. F., Nielsen, S. D., Amer, B., Mortensen, G.
, Petrat-Melin, B., Jessen, R. & Dalsgaard, T. K. (2014).
Milk fat derived FFA induces angiopoietin-like 4 gene expression and protein secretion from intestinal cells. I D. M. Martirosyan & S. Liu (red.),
Discovery, Utilization, and Control of Bioactive Components and Functional Foods (Bind 17, s. 214-215). Food Science Publisher .
Larsen, L. B., Poulsen, N. A., Jensen, H. B., Sundekilde, U. K., Bertram, H. C. S., Gregersen, V. R., Gustavsson, F., Glantz, M., Bertelsen, H. P.
, de Moura Maciel, G., S. Hansen, M., Bakman, M., Stålhammar, H., Andrén, A., Fikse, W. F., Lindmark-Månsson, H.
, Buitenhuis, A. J., Bendixen, C. & Paulsson, M. (2014).
Milk Genomics from a Technological Perspective. Abstract fra 11th International Symposium on Milk Genomics and Human Health, Aarhus, Danmark.
http://milkgenomics.org/11th-international-symposium-milk-genomics-human-health/
Alstrup, L., Weisbjerg, M. R., Hymøller, L., Larsen, M. K., Lund, P. & Nielsen, M. O. (2014).
Milk production response to varying protein supply is independent of forage digestibility in dairy cows.
Journal of Dairy Science,
97(7), 4412-4422.
https://doi.org/10.3168/jds.2013-7585
Tougaard, J., Petersen, I. K., Balle, J. D., Sveegaard, S., Josefson, A. B. & Holm, T. E., (2014).
Minesøgning i Faxe Bugt og Køge Bugt, 26. februar – 6. marts 2014, Nr. 13685, 7 s., feb. 17, 2014. Notat fra DCE - Nationalt Center for Miljø og Energi (2011-2019)
Andersen, H. E., Blicher-Mathiesen, G., Bechmann, M., Povilaitis, A., Iital, A., Lagzdins, A. & Kyllmar, K. (2014).
Mitigating diffuse nitrogen losses in the Nordic-Baltic countries.
Agriculture, Ecosystems & Environment,
195, 53-60.
https://doi.org/10.1016/j.agee.2014.05.009
Schoumans, O., Chardon, W., Bechman, M., Gascuel-Odoux, C., Hofman, G.
, Kronvang, B., Rubæk, G. H., Ulen, B. & Dorioz, J.-M. (2014).
Mitigation options to reduce phosphorus losses from the agricultural sector and improve surface water quality: a review.
Science of the Total Environment,
468-469, 1255-1266.
Pedersen, H. S., Løvendahl, P., Nikolaisen, N., Holm, P., Hyttel, P.
, Nyengaard, J. R., Chen, F. & Callesen, H. (2014).
Mitochondrial dynamics in pre- and postpubertal pig oocytes before and after in vitro maturation.
Reproduction, Fertility and Development,
26(1), 189-190. Artikel 152.
https://doi.org/10.1071/RDv26n1abs
Guo, X., Christensen, O. F., Ostersen, T.
, Sorensen, D. A., Wang, Y.
, Lund, M. S. & Su, G. (2014).
Model comparison based on genomic predictions of litter size and piglet mortality.
EAAP scientific series,
20, 214-214.
http://www.wageningenacademic.com/eaap2014
Freitas, L.
, Hallerstede, S., Hansen, D., Kuppe, M., Mejia, F., Merz, S., Vanzetto, H. & Winter, K. (2014).
Modeling Dijkstra’s Termination Detection Algorithm in TLA+. I U. Glässer, S. Hallerstede, M. Leuschel & E. Riccobene (red.),
Integration of Tools for Rigorous Software Construction and Analysis (Dagstuhl Seminar 13372) (Bind Dagstuhl Reports, Volume 3, Issue 9). Dagstuhl Publishing.
https://doi.org/10.4230/DagRep.3.9.74
Deepagoda Thuduwe Kankanamge Kelum, C., Jones, S. B.
, Tuller, M., de Jonge, L. W., Kawamoto, K., Komatsu, T. & Møldrup, P. (2014).
Modeling gravity effects on water retention and gas transport characteristics in plant growth substrates.
Advances in Space Research,
54(4), 797-808.
https://doi.org/10.1016/j.asr.2014.04.018
Sønderup, M. J., Egemose, S.
, Hoffmann, C. C., Reitzel, K. & Flindt, M. R. (2014).
Modeling phosphorus removal in wet ponds with filter zones containing sand or crushed concrete: Wetland Restoration– Challenges and Opportunities.
Ecological Engineering,
66, 52-62.
https://doi.org/10.1016/j.ecoleng.2013.06.003
Ahmadi, S. H., Sepaskhah, A. R.
, Andersen, M. N., Plauborg, F., Jensen, C. R. & Hansen, S. (2014).
Modeling Root Length Density of Field Grown Potatoes under Different Irrigation Strategies and Soil Textures Using Artificial Neural Networks.
Field Crops Research,
162, 99-107.
https://doi.org/10.1016/j.fcr.2013.12.008
Peng, Y., Xiong, X.
, Adhikari, K., Knadel, M., Grunwald, S.
& Greve, M. H. (2014).
Modeling topsoil organic carbon by combining multi-spectral images with laboratory spectra. Poster-session præsenteret på The 6th global workshop on digital Soil Mapping, Kina.
Erichsen, A. C., Kaas, H.
, Timmermann, K., Markager, S., Christensen, J. P. A. & Murray, C. (2014).
Modeller for danske fjorde og kystnære havområder - del 1. Metode til bestemmelse af målbelastning: Dokumentation. Aarhus University, DCE - Danish Centre for Environment and Energy.
http://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2014/MVV_documentation_DCE_DHI_metode-slutrap-del1.pdf