Results 51 to 60 of about 250,082 (390)

Measurement of methane emission from sheep by the sulphur hexafluoride tracer technique and by the calorimetric chamber: failure and success

Animal, 2008
The aim of this study was to evaluate the sulphur hexafluoride (SF6) tracer technique for methane (CH4) emission measurement in sheep. Ten cryptorchid Romney sheep were involved in two indoor trials (T1 and T2), where daily CH4 emissions were ...
C.S. Pinares-Patiño, C.W. Holmes, K.R. Lassey, M.J. Ulyatt   +3 more
doaj   +1 more source

Cellulosomics, a gene-centric approach to investigating the intraspecific diversity and adaptation of Ruminococcus flavefaciens within the rumen [PDF]

, 2011
Peer reviewedPublisher ...
Bayer, Edward A, Borovok, Ilya, Brulc, Jennifer M, Flint, Harry J, Goldenfeld, Nigel, Jeraldo, Patricio, Jindou, Sadanari, Lamed, Raphael, Miller, Margret E Berg, Nelson, Karen E, Vodovnik, Masa, White, Bryan A, Wilson, Melissa K, Yeoman, Carl J   +13 more
core   +4 more sources

Lysis of Viable Rumen Bacteria in Bovine Rumen Fluid [PDF]

Applied Microbiology, 1968
Streptococcus bovis and Butyrivibrio sp. were labeled with thymidine-methyl- 3 H, washed, and resuspended in rumen fluid or rumen fluid fractions obtained from Holstein and Jersey cows fed alfalfa hay once daily.
openaire   +3 more sources

Addressing Global Ruminant Agricultural Challenges Through Understanding the Rumen Microbiome: Past, Present, and Future

Frontiers in Microbiology, 2018
The rumen is a complex ecosystem composed of anaerobic bacteria, protozoa, fungi, methanogenic archaea and phages. These microbes interact closely to breakdown plant material that cannot be digested by humans, whilst providing metabolic energy to the ...
S. Huws, C. Creevey, Linda B. Oyama, I. Mizrahi, S. Denman, M. Popova, R. Muñoz-Tamayo, E. Forano, S. Waters, M. Hess, I. Tapio, H. Smidt, S. Krizsan, D. Yáñez-Ruiz, A. Belanche, L. Guan, R. Gruninger, T. McAllister, C. J. Newbold, R. Roehe, R. Dewhurst, T. Snelling, M. Watson, G. Suen, Elizabeth H. Hart, A. Kingston-Smith, N. Scollan, R. D. do Prado, E. Pilau, H. C. Mantovani, G. Attwood, J. Edwards, N. McEwan, Steven Morrisson, O. Mayorga, C. Elliott, D. Morgavi   +36 more
semanticscholar   +1 more source

Optimizing synbiotic formulations with Ligilactobacillus salivarius BF17 for enhanced gut health in Murrah buffalo calves

Current Research in Biotechnology
This study was performed to optimize synbiotic formulations with Ligilactobacillus salivarius BF17 for augmenting gut health in Murrah buffalo calves. Prebiotic utilization, acidification profiles, prebiotic indices (PIs) and prebiotic activity scores ...
Antony Johnson Thanippilly, Sachin Kumar, Vinay Venkatesh Varada, Sravani Balaga, Goutam Mondal, Nitin Tyagi, Ashis Kumar Samanta   +6 more
doaj   +1 more source

Comparative metagenomic and metatranscriptomic analyses reveal the breed effect on the rumen microbiome and its associations with feed efficiency in beef cattle

Microbiome, 2019
BackgroundMicroorganisms are responsible for fermentation within the rumen and have been reported to contribute to the variation in feed efficiency of cattle.
Fuyong Li, T. Hitch, Yanhong Chen, C. Creevey, L. Guan   +4 more
semanticscholar   +1 more source

Rumen Microbiome Composition Is Altered in Sheep Divergent in Feed Efficiency

Frontiers in Microbiology, 2020
Rumen microbiome composition and functionality is linked to animal feed efficiency, particularly for bovine ruminants. To investigate this in sheep, we compared rumen bacterial and archaeal populations (and predicted metabolic processes) of sheep ...
Steven McLoughlin, C. Spillane, N. Claffey, Paul E. Smith, T. O'Rourke, M. Diskin, S. Waters   +6 more
semanticscholar   +1 more source

Methodological factors affecting gas and methane production during in vitro rumen fermentation evaluated by meta-analysis approach [PDF]

, 2016
Effects of some methodological factors on in vitro measures of gas production (GP, mL/g DM), CH4 production (mL/g DM) and proportion (% CH4 on total GP) were investigated by meta-analysis.
Bailoni, Lucia, Cattani, Mirko, Maccarana, Laura, Mantovani, Roberto, Schiavon, Stefano, Tagliapietra, Franco   +5 more
core   +2 more sources

Rumen Modeling: Rumen Input-Output Balance Models

Journal of Dairy Science, 1975
Two models of rumen fermentative relationships expressed as systems of simultaneous linear equations and based on requirements for maintenance of balances of elementary imput and output and metabolic pathways are presented in matrix format consistent with solution by linear programs.
J.R. Reichl, R.L. Baldwin
openaire   +3 more sources

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source