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

Dineen, M.; Mitchell, M.; Kuhla, B.; Danesh Mesgaran, S. (2020):
Body temperature and thermal imaging. In: Methods in cattle physiology and behaviour research - Recommendations from the SmartCow consortium (Sadjad Danesh Mesgaran, René Baumont, Lene Munksgaard, David Humphries, Emer Kennedy, Jan Dijkstra, Richard Dewhurst, Holly Ferguson, Marta Terré and Björn Kuhla, Hrsg.) Publisso, Cologne: 1-6
https://doi.org/10.5680/mcpb004
Danesh-Mesgaran, S.; Kuhla, B.; Humphries, D.; Weisbjerg, M.; Lund, H.; Kennedy, E.; O`Donovan, M.; Liddane, M.; Galvin, N.; Dijkstra, J.; Baumont, R. (2020):
Feed and water intake. In: Methods in cattle physiology and behaviour research - Recommendations from the SmartCow consortium (Sadjad Danesh Mesgaran, René Baumont, Lene Munksgaard, David Humphries, Emer Kennedy, Jan Dijkstra, Richard Dewhurst, Holly Ferguson, Marta Terré and Björn Kuhla, Hrsg.) Publisso, Cologne: 1-11
https://doi.org/10.5680/mcpb002
Hoffmann, G.; Herbut, P.; Pinto, S.; Heinicke, J.; Kuhla, B.; Amon, T. (2020):
Animal-related, non-invasive indicators for determining heat stress in dairy cows. Biosyst Eng 199: 83-96
https://doi.org/10.1016/j.biosystemseng.2019.10.017
Sandberg, L.; Thaller, G.; Görs, S.; Kuhla, B.; Metges, C. C.; Krattenmacher, N. (2020):
The relationship between methane emission and day time-dependent fecal archaeol concentration in lactating dairy cows fed two different diets. ARCH ANIM BREED 63: 211-218
https://doi.org/10.5194/aab-63-211-2020
Eslamizad, M.; Albrecht, D.; Kuhla, B. (2020):
The effect of chronic, mild heat stress on metabolic changes of nutrition and adaptations in rumen papillae of lactating dairy cows. J Dairy Sci 103 (9): 8601-8614
https://doi.org/10.3168/jds.2020-18417
Tümmler, L.-M.; Derno, M.; Röttgen, V.; Vernunft, A.; Tuchscherer, A.; Wolf, P.; Kuhla, B. (2020):
Effects of 2 colostrum and subsequent milk replacer feeding intensities on methane production, rumen development, and performance in young calves. J Dairy Sci 103 (7): 6054-6069
https://doi.org/10.3168/jds.2019-17875
Danesh-Mesgaran, S.; Eggert, A.; Höckels, P.; Derno, M.; Kuhla, B. (2020):
The use of milk Fourier transform mid-infrared spectra and milk yield to estimate heat production as a measure of efficiency of dairy cows. J Anim Sci Biotechno 11: 43, 1-9
https://doi.org/10.1186/s40104-020-00455-0
Rasch, I.; Görs, S.; Tuchscherer, A.; Viergutz, T.; Metges, C. C.; Kuhla, B. (2020):
Substitution of dietary sulfur amino acids by DL-2-hydroxy-4-methylthiobutyric acid reduces fractional glutathione synthesis in weaned piglets. J Nutr 150 (4): 722-729
https://doi.org/10.1093/jn/nxz272
Kuhla, B. (2020):
Pro-inflammatory cytokines and hypothalamic inflammation – implications for insufficient feed intake of transition dairy cows. Animal 14 (S1): s65-s77
https://doi.org/10.1017/s1751731119003124
Kuhla, B.; Kaever, V.; Tuchscherer, A.; Kuhla, A. (2020):
Involvement of plasma endocannabinoids and the hypothalamic endocannabinoid system in increasing feed intake after parturition of dairy cows. Neuroendocrinology 110 (3-4): 246-257
https://doi.org/10.1159/000501208
Garnsworthy, P.; Difford, G. F.; Bell, M.; Bayat, A. R.; Huhtanen, P.; Kuhla, B.; Lassen, J.; Peiren, N.; Pszczola, M; Sorg, D.; Visker, M.; Yan, T (2019):
Comparison of methods to measure methane for use in genetic evaluation of dairy cattle. Animals-Basel 9 (10): 837, 1-12
https://doi.org/10.3390/ani9100837
Urh, C.; Denißen, J.; Harder, I.; Koch, C.; Gerster, E.; Ettle, T.; Kraus, N.; Schmitz, R.; Kuhla, B.; Stamer, E.; Spiekers, H.; Sauerwein, H. (2019):
Circulating adiponectin concentrations during the transition from pregnancy to lactation in high-yielding dairy cows: testing the effects of farm, parity, and dietary energy level in large animal numbers. DOMEST ANIM ENDOCRIN 69: 1-12
https://doi.org/10.1016/j.domaniend.2019.01.001
Derno, M.; Nürnberg, G.; Kuhla, B. (2019):
Characterizing the metabotype and its persistency in lactating Holstein cows: an approach toward metabolic efficiency measures. J Dairy Sci 102 (7): 6559-6570
https://doi.org/10.3168/jds.2019-16274
Koch, F.; Thom, U.; Albrecht, E.; Weikard, R.; Nolte, W.; Kuhla, B.; Kühn, C. (2019):
Heat stress directly impairs gut integrity and recruits distinct immune cell populations into the bovine intestine. P Natl Acad Sci USA 116 (21): 10333-10338
https://doi.org/10.1073/pnas.1820130116
Rasch, I.; Görs, S.; Tuchscherer, A.; Htoo, J.; Kuhla, B.; Metges, C. C. (2019):
Substitution of dietary sulfur amino acids by DL-2-hydroxy-4-methylthiobutyric acid increases remethylation and decreases transsulfuration in weaned piglets. J Nutr 149 (3): 432-440
https://doi.org/10.1093/jn/nxy296.
Erdmann, S.; Derno, M.; Schäff, C. T.; Börner, S.; Kautzsch, U.; Kuhla, B.; Hammon, H. M.; Tuchscherer, A.; Röntgen, M. (2019):
Comparative analyses of estimated and calorimetrically determined energy balance in high-yielding dairy cows. J Dairy Sci 102 (5): 4002-4013
https://doi.org/10.3168/jds.2018-15017
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