PD Dr. rer. nat. habil. Björn Kuhla

+49 38208 68-693
Research Institute for Farm Animal Biology (FBN)
Institute of Nutritional Physiology "Oskar Kellner"
Metabolism Efficiency Unit
Wilhelm-Stahl-Allee 2
18196 Dummerstorf

Research interests

  • Neuronal and metabolic control of feed intake
  • Links between feed efficiency, diet and methane production
  • Metabolic adaptation to environmental heat

Curriculum Vitae

  • 2013-present: Director of 'Fuel Sensing Unit', Leibniz Institute for Farm Animal Biology (FBN) Dummerstorf, Institute of Nutritional Physiology "Oskar Kellner"
  • 2009-2012: Leader of Junior Research Group „Feed Intake Regulation“, Leibniz Institute for Farm Animal Biology (FBN) Dummerstorf
  • 2006-present: Scientist at the Institute of Nutritional Physiology “Oskar Kellner”, Leibniz Institute for Farm Animal Biology (FBN) Dummerstorf
  • Habilitation and venia legendi in Biochemistry
  • Post Doc at the Agricultural Research Centre of the Bayer AG Monheim, University of Leipzig, and Case Western Reserve University, Cleveland
  • Diploma and Doctoral Degree in Chemistry
  • Secondary education and apprenticeship for animal production

Teaching

  • Anatomic-Physiological Basics and Methods in Animal Nutrition
  • Metabolism and performance physiology
  • Practical Course “Isolation of RNA from plant leaves”

Publications

Engelke, S. W.; Daş, G.; Derno, M.; Tuchscherer, A.; Wimmers, K.; Rychlik, M.; Kienberger, H.; Berg, W.; Kuhla, B.; Metges, C. C. (2019):
Methane prediction based on individual or groups of milk fatty acids for dairy cows fed rations with or without linseed. J Dairy Sci 102 (2): 1788-1802
https://doi.org/10.3168/jds.2018-14911
Sorg, D.; Difford, G. F.; Mühlbach, S.; Kuhla, B.; Swalve, H. H.; Lassen, J.; Strabel, T.; Pszczola, M. (2018):
Comparison of a laser methane detector with the GreenFeed and two breath analysers for on-farm measurements of methane emissions from dairy cows. Comput Electron Agr 153: 285-294
https://doi.org/10.1016/j.compag.2018.08.024
Spiekers, H.; Ettle, T.; Jilg, T.; Kuhla, B.; Mohr, U.; Pries, M. (2018):
Grobfutterleistung von Milchkühen und Futterertrag - Auswertung der Versuchsdaten des Verbundprojekts optiKuh. In: Kongressband 2018 Münster : Vorträge zum Generalthema: Digitalisierung in Landwirtschaft, Versuchs- und Untersuchungswesen - Anforderungen und Auswirkungen (VDLUFA-Schriftenreihe , 75) VDLUFA-Verlag, Darmstadt (ISBN 978-3-941273-25-2): 334-341
Engelke, S. W.; Daş, G.; Derno, M.; Tuchscherer, A.; Berg, W.; Kuhla, B.; Metges, C. C. (2018):
Milk fatty acids estimated by mid-infrared spectroscopy and milk yield can predict methane emissions in dairy cows. Agron Sustain Dev 38 (3): 27, 1-9
https://doi.org/10.1007/s13593-018-0502-x
Eslamizad, M.; Tümmler, L.-M.; Derno, M.; Hoch, M.; Kuhla, B. (2018):
TECHNICAL NOTE: Development of a pressure sensor-based system for measuring rumination time in pre-weaned dairy calves. J Anim Sci 96 (11): 4483-4489
https://doi.org/10.1093/jas/sky337
Rischewski, J.; Derno, M.; Tuchscherer, A.; Kuhla, B. (2018):
Feed efficiency, methane production and physiological imbalance relative to stage of lactation for dairy cows fed rations differing in forage energy content. In: Abschlussveranstaltung Verbundprojekt optiKuh, 30. - 31.01.2018 : Tagungsband (Schriftenreihe der Bayerischen Landesanstalt für Landwirtschaft , 2/2018) : 73-76
Reyer, H.; Oster, M.; Magowan, E.; Muráni, E.; Sauerwein, H.; Dannenberger, D.; Kuhla, B.; Ponsuksili, S.; Wimmers, K. (2018):
Feed-efficient pigs exhibit molecular patterns allowing a timely circulation of hormones and nutrients. Physiol Genomics 50 (9): 726-734
https://doi.org/10.1152/physiolgenomics.00021.2018
Vanlierde, A.; Soyeurt, H.; Gengler, N.; Colinet, F.; Froidmont, E.; Kreuzer, M.; Grandl, F.; Bell, M.; Lund, M. S.; Olijhoek, D.; Eugène, M.; Martin, C.; Kuhla, B.; Dehareng, F. (2018):
Short communication: Development of an equation for estimating methane emissions of dairy cows from milk Fourier transform mid-infrared spectra by using reference data obtained exclusively from respiration chambers. J Dairy Sci 101 (8): 7618-7624
https://doi.org/10.3168/jds.2018-14472
Hristov, A. N.; Kebreab, E.; Niu, M.; Oh, J; Bannink, A.; Bayat, A. R.; Boland, T.; Brito, A. F.; Casper, D.; Crompton, L; Dijkstra, J.; Eugene, M.; Garnsworthy, P. C.; Haque, N; Hellwing, A. L. F.; Huhtanen, P.; Kreuzer, M.; Kuhla, B.; Lund, M. S.; Madsen, J; Martin, Z.; Moate, P.; Muetzel, S.; Munoz, J.; Peiren, N.; Powell, D.; Reynolds, C.; Schwarm, A.; Shingfield, K.; Storlien, T.; Weisbjerg, M.; Yáñez-Ruiz, D.; Yu, Z. (2018):
Symposium review: Uncertainties in enteric methane inventories, measurement techniques, and prediction models. J Dairy Sci 101 (7): 6655-6674
https://doi.org/10.3168/jds.2017-13536
Gerrits, W. J. J.; Labussière, E; Dijkstra, J.; Reynolds, C.; Metges, C. C.; Kuhla, B.; Lund, M. S.; Weisbjerg, M. (2018):
Recovery test results as a prerequisite for publication of gaseous exchange measurements. Animal 12 (1): 4
https://doi.org/10.1017/s1751731117002397
Lamp, O.; Reyer, H.; Otten, W.; Nürnberg, G.; Derno, M.; Wimmers, K.; Metges, C. C.; Kuhla, B. (2018):
Intravenous lipid infusion affects dry matter intake, methane yield, and rumen bacteria structure in late-lactating Holstein cows. J Dairy Sci 101 (7): 6032-6046
https://doi.org/10.3168/jds.2017-14101
Lyons, T.; Bielak, A.; Doyle, E.; Kuhla, B. (2018):
Variations in methane yield and microbial community profiles in the rumen of dairy cows as they pass through stages of first lactation. J Dairy Sci 101 (6): 5102-5114
https://doi.org/10.3168/jds.2017-14200
Niu, M.; Kebreab, E.; Hristov, A. N.; Oh, J.; Arndt, C.; Bannink, A.; Bayat, A. R.; Brito, A. F.; Boland, T.; Casper, D.; ..., ; Kuhla, B.; ..., (2018):
Prediction of enteric methane production, yield, and intensity in dairy cattle using an intercontinental database. Global Change Biol 24 (8): 3368-3389
https://doi.org/10.1111/gcb.14094
Kuhla, B.; Ingvartsen, K. (2018):
Proteomics and the characterization of fatty liver metabolism in early lactation dairy cows. In: Proteomics in domestic animals: from farm to systems biology (A.M. de Almeida, D. Eckersall, I. Miller, Hrsg.) Springer, Cham (ISBN 978-3-319-69681-2, 978-3-319-69682-9 (eBook)): 219-231
Erdmann, S.; Mohr, E.; Derno, M.; Tuchscherer, A.; Schäff, C. T.; Börner, S.; Kautzsch, U.; Kuhla, B.; Hammon, H. M.; Röntgen, M. (2018):
Indices of heart rate variability as potential early markers of metabolic stress and compromised regulatory capacity in dried-off high-yielding dairy cows. Animal 12 (7): 1451-1461
https://doi.org/10.1017/S1751731117002725
Gerrits, W. J. J.; Labussière, E.; Dijkstra, J.; Reynolds, C.; Metges, C. C.; Kuhla, B.; Lund, M. S.; Weisbjerg, M. (2017):
Letter to the Editor: Recovery test results as a prerequisite for publication of gaseous exchange measurements. J Anim Sci 95 (12): 5175-5175
https://doi.org/10.1093/ansci/95.12.5175
Sorg, D.; Mühlbach, S.; Rosner, F.; Kuhla, B.; Derno, M.; Meese, S.; Schwarm, A.; Kreuzer, M.; Swalve, H. H. (2017):
The agreement between two next-generation laser methane detectors and respiration chamber facilities in recording methane concentrations in the spent air produced by dairy cows. Comput Electron Agr 143: 262-272
https://doi.org/10.1016/j.compag.2017.10.024
Aguinaga Casañas, M.; Schäff, C. T.; Albrecht, E.; Hammon, H. M.; Kuhla, B.; Röntgen, M.; Nürnberg, G.; Mielenz, M. (2017):
Short communication: Free fatty acid receptors FFAR1 and FFAR2 during the peripartal period in liver of dairy cows grouped by their postpartum plasma beta-hydroxybutyrate concentrations. J Dairy Sci 100 (4): 3287-3292
https://dx.doi.org/10.3168/jds.2016-11021
Rischewski, J.; Bielak, A.; Nürnberg, G.; Derno, M.; Kuhla, B. (2017):
Rapid communication: Ranking dairy cows for methane emissions measured using respiration chamber or GreenFeed techniques during early, peak, and late lactation. J Anim Sci 95 (7): 3154-3159
https://dx.doi.org/10.2527/jas2017.1530
Weitzel, J. M.; Viergutz, T.; Albrecht, D.; Bruckmaier, R. M.; Schmicke, M.; Tuchscherer, A.; Koch, F.; Kuhla, B. (2017):
Hepatic thyroid signaling of heat-stressed late pregnant and early lactating cows. J Endocrinol 234 (2): 129-141
https://dx.doi.org/10.1530/JOE-17-0066