Brøkner, C., Austbø, D., Næsset, J. A., Blache, D.
, Knudsen, K. E. B. & Tauson, A. H. (2016).
Metabolic response to dietary fibre composition in horses.
Animal,
10(7), 1155-1163.
https://doi.org/10.1017/S1751731115003006
Kieffer, D. A., Piccolo, B. D., Marco, M. L., Kim, E. B., Goodson, M. L., Keenan, M. J., Dunn, T. N.
, Knudsen, K. E. B., Martin, R. J. & Adams, S. H. (2016).
Mice Fed a High-Fat Diet Supplemented with Resistant Starch Display Marked Shifts in the Liver Metabolome Concurrent with Altered Gut Bacteria.
The Journal of Nutrition,
146(12), 2476-2490.
https://doi.org/10.3945/jn.116.238931
de Moura Maciel, G., Kidmose, U., Gaillard, C., Lehmann, J. O., Mogensen, L., Sehested, J., Poulsen, N. A. & Larsen, L. B. (2016).
Milke from cows at extended lactation should not be a concern for cheese-making. Abstract fra 30th EFFOST International Conference, Wien, Østrig.
Gaillard, C., Barbu, H.
, Sørensen, M. T., Sehested, J., Callesen, H. & Vestergaard, M. (2016).
Milk yield and estrus behavior in eight consecutive estruses in Holstein cows fed standardized or high energy diets and grouped according to live weight changes in early lactation.
Journal of Dairy Science,
99(4), 3134-3143.
https://doi.org/10.3168/jds.2015-10023
Larsen, K. E., Momeni, J., Farajzadeh, L., Callesen, H. & Bendixen, C. (2016).
Molecular characterization and analysis of the porcine NURR1 gene.
Biochimie,
3, 26-39.
https://doi.org/10.1016/j.biopen.2016.07.001
Guthrie, G., Kulkarni, M., Vlaardingerbroek, H., Stoll, B., Ng, K., Martin, C., Belmont, J., Hadsell, D., Heird, W., Newgard, C. B., Olutoye, O. O., van Goudoever, J.
, Lauridsen, C., He, X., Schuchman, E. H. & Burrin, D. G. (2016).
Multi-omic profiles of hepatic metabolism in TPN-fed preterm pigs administered new generation lipid emulsions.
Journal of Lipid Research,
57(9), 1696-1711.
https://doi.org/10.1194/jlr.M069526
Olijhoek, D., Hellwing, A. L. F., Løvendahl, P., Lassen, J., Weisbjerg, M. R. & Lund, P. (2016).
No difference in methane production between low and high feed efficient Holstein and Jersey dairy cows at two forage:concentrate ratios. Abstract fra 6th Greenhouse Gas and Animal Agriculture Conference, Melbourne, Australien.
Assadi Soumeh, E., Hedemann, M. S., Poulsen, H. D., Corrent, E., van Milgen, J.
& Nørgaard, J. V. (2016).
Nontargeted LC–MS Metabolomics Approach for Metabolic Profiling of Plasma and Urine from Pigs Fed Branched Chain Amino Acids for Maximum Growth Performance.
Journal of Proteome Research,
15(12), 4195-4207.
https://doi.org/10.1021/acs.jproteome.6b00184
van Empel, M. JM., Makkar, H. PS., Dijkstra, J.
& Lund, P. (2016).
Nutritional, technological and managerial parameters for precision feeding to enhance feed nutrient utilization and productivity in different dairy cattle production systems.
CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources,
11, Artikel 037.
https://doi.org/10.1079/PAVSNNR201611037
Kieffer, D. A., Piccolo, B. D., Marco, M. L., Kim, E. B., Goodson, M. L., Keenan, M. J., Dunn, T. N.
, Knudsen, K. E. B., Adams, S. H. & Martin, R. J. (2016).
Obese Mice Fed a Diet Supplemented with Enzyme-Treated Wheat Bran Display Marked Shifts in the Liver Metabolome Concurrent with Altered Gut Bacteria.
The Journal of Nutrition,
146(12), 2445-2460.
https://doi.org/10.3945/jn.116.238923
Blavy, P., Derks, M., Martin, O.
, Höglund, J. & Friggens, N. C. (2016).
Overview of progesterone profiles in dairy cows.
Theriogenology,
86(4), 1061-1071.
https://doi.org/10.1016/j.theriogenology.2016.03.037
Duval, J. E., Bareille, N., Fourichon, C., Madouasse, A.
& Vaarst, M. (2016).
Perceptions of French private veterinary practitioners’ on their role in organic dairy farms and opportunities to improve their advisory services for organic dairy farmers.
Preventive Veterinary Medicine,
133, 10-21.
https://doi.org/10.1016/j.prevetmed.2016.09.008
Cieslak, M., Mikkelsen, S. S.
, Skall, H. F., Baud, M., Diserens, N., Engelsma, M., Haenen, O., Mousakhani, S., Panzarin, V., Wahli, T., Olesen, N. J. & Schütze, H. (2016).
Phylogeny of the Viral Hemorrhagic Septicemia Virus in European Aquaculture.
P L o S One,
11(10), Artikel e0164475.
https://doi.org/10.1371/journal.pone.0164475
Pedersen, H. S., Løvendahl, P., Larsen, K. E., Madsen, L. B. & Callesen, H. (2016).
Porcine oocyte mtDNA copy number is high or low depending on the donor.
Zygote,
24(4), 617-623.
https://doi.org/10.1017/S0967199415000611
Santoro, A., Vandepitte, J., Hostens, M., Carter, F., Matthews, E., Waegeman, W., Fahey, A. G., Hermans, K., Ferris, C., Bell, M.
, Sørensen, M. T., Höglund, J. & Crowe, M. A. (2016).
Potential for novel glycan measurements in milk as biomarker phenotypes for dairy traits. I
Book of abstracts of the 67th Annual Meeting of the European Federation of Animal Science (s. 300). Wageningen Academic Publishers, The Netherlands.
https://doi.org/10.3920/978-90-8686-830-8
Höglund, J., Sørensen, M. T., Larsen, T., Foldager, L., Ferris, C., Bell, M., Carter, F., Santoro, A., Crowe, M.
& Ingvartsen, K. L. (2016).
Potential for novel metabolite measurements in milk as biomarker phenotypes for dairy traits. I
Book of abstracts of the 67th Annual Meeting of the European Federation of Animal Science (s. 299). Wageningen Academic Publishers, The Netherlands.
https://doi.org/10.3920/978-90-8686-830-8
Vanlierde, A., Grelet, C., Gengler, N., Ferris, C. P.
, Sørensen, M. T., Höglund, J., Carter, F.
, Ingvartsen, K. L., Santoro, A., Dardenne, P. & Dehareng, F. (2016).
Potential use of milk MIR spectra to obtain new health phenotypes for dairy cows in the framework of the GplusE project. I
Book of abstracts of the 67th Annual Meeting of the European Federation of Animal Science (67 udg.). Wageningen Academic Publishers.
Poulsen, A.-S. R., de Jonge, N., Nielsen, J. L.
, Højberg, O., Lauridsen, C. & Canibe, N. (2016).
Pre- and post-weaning gut microbial profiles of piglets administered Bacillus spp. spores and gentamicin. Abstract fra The 5th beneficial microbes conference, Amsterdam, Holland.
Gaillard, C., Martin, O., Blavy, P., Friggens, N. C.
, Sehested, J. & Phuong, H. N. (2016).
Prediction of the lifetime productive and reproductive performance of Holstein cows managed for different lactation durations, using a model of lifetime nutrient partitioning.
Journal of Dairy Science,
99(11), 9126-9135.
https://doi.org/10.3168/jds.2016-11051
Hellwing, A. L. F., Weisbjerg, M. R., Brask, M., Alstrup, L., Johansen, M., Hymøller, L. & Lund, P. (2016).
Prediction of the methane conversion factor (Ym) for dairy cows based on national farm data.
Hellwing, A. L. F., Weisbjerg, M. R., Brask, M., Alstrup, L., Johansen, M., Hymøller, L., Larsen, M. K. & Lund, P. (2016).
Prediction of the methane conversion factor (Ym) for dairy cows on the basis of national farm data.
Animal Production Science,
56(3), 535-540.
https://doi.org/10.1071/AN15520
Hellwing, A. L. F., Weisbjerg, M. R., Brask, M., Alstrup, L., Johansen, M., Hymøller, L., Larsen, M. K.
& Lund, P. (2016).
Prediction of the methane conversion factor (Ym) for dairy cows on the basis of national farm data. 535-540. Abstract fra 6th Greenhouse Gas and Animal Agriculture Conference, Melbourne, Australien.