Literature DB >> 20163666

Factors affecting methane production and mitigation in ruminants.

Masaki Shibata1, Fuminori Terada.   

Abstract

Methane (CH(4)) is the second most important greenhouse gas (GHG) and that emitted from enteric fermentation in livestock is the single largest source of emissions in Japan. Many factors influence ruminant CH(4) production, including level of intake, type and quality of feeds and environmental temperature. The objectives of this review are to identify the factors affecting CH(4) production in ruminants, to examine technologies for the mitigation of CH(4) emissions from ruminants, and to identify areas requiring further research. The following equation for CH(4) prediction was formulated using only dry matter intake (DMI) and has been adopted in Japan to estimate emissions from ruminant livestock for the National GHG Inventory Report: Y = -17.766 + 42.793X - 0.849X(2), where Y is CH(4) production (L/day) and X is DMI (kg/day). Technologies for the mitigation of CH(4) emissions from ruminants include increasing productivity by improving nutritional management, the manipulation of ruminal fermentation by changing feed composition, the addition of CH(4) inhibitors, and defaunation. Considering the importance of ruminant livestock, it is essential to establish economically feasible ways of reducing ruminant CH(4) production while improving productivity; it is therefore critical to conduct a full system analysis to select the best combination of approaches or new technologies to be applied under long-term field conditions.

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Year:  2010        PMID: 20163666     DOI: 10.1111/j.1740-0929.2009.00687.x

Source DB:  PubMed          Journal:  Anim Sci J        ISSN: 1344-3941            Impact factor:   1.749


  17 in total

1.  Comparative analysis of methanogen diversity in the rumen of crossbred buffalo and cattle in the Philippines by using the functional gene mcrA.

Authors:  Khin-Ohnmar Lwin; Hiroki Matsui; Tomomi Ban-Tokuda; Makoto Kondo; Rosalina M Lapitan; Jesus Rommel V Herrera; Arnel N Del-Barrio; Tsutomu Fujihara
Journal:  Mol Biol Rep       Date:  2012-10-10       Impact factor: 2.316

2.  Treating cattle with antibiotics affects greenhouse gas emissions, and microbiota in dung and dung beetles.

Authors:  Tobin J Hammer; Noah Fierer; Bess Hardwick; Asko Simojoki; Eleanor Slade; Juhani Taponen; Heidi Viljanen; Tomas Roslin
Journal:  Proc Biol Sci       Date:  2016-05-25       Impact factor: 5.349

Review 3.  Methanogens: methane producers of the rumen and mitigation strategies.

Authors:  Sarah E Hook; André-Denis G Wright; Brian W McBride
Journal:  Archaea       Date:  2010-12-30       Impact factor: 3.273

4.  Co-production of bioethanol and probiotic yeast biomass from agricultural feedstock: application of the rural biorefinery concept.

Authors:  Claire M Hull; E Joel Loveridge; Iain S Donnison; Diane E Kelly; Steven L Kelly
Journal:  AMB Express       Date:  2014-09-01       Impact factor: 3.298

5.  Incubation Temperature, But Not Pequi Oil Supplementation, Affects Methane Production, and the Ruminal Microbiota in a Rumen Simulation Technique (Rusitec) System.

Authors:  Andrea C Duarte; Devin B Holman; Trevor W Alexander; Kerstin Kiri; Gerhard Breves; Alexandre V Chaves
Journal:  Front Microbiol       Date:  2017-06-28       Impact factor: 5.640

6.  Lower Methane Emissions from Yak Compared with Cattle in Rusitec Fermenters.

Authors:  Jiandui Mi; Jianwei Zhou; Xiaodan Huang; Ruijun Long
Journal:  PLoS One       Date:  2017-01-11       Impact factor: 3.240

7.  Inhibition of Rumen Methanogenesis and Ruminant Productivity: A Meta-Analysis.

Authors:  Emilio M Ungerfeld
Journal:  Front Vet Sci       Date:  2018-06-19

8.  Ruminal methane emissions, metabolic, and microbial profile of Holstein steers fed forage and concentrate, separately or as a total mixed ration.

Authors:  Rajaraman Bharanidharan; Selvaraj Arokiyaraj; Eun Bae Kim; Chang Hyun Lee; Yang Won Woo; Youngjun Na; Danil Kim; Kyoung Hoon Kim
Journal:  PLoS One       Date:  2018-08-15       Impact factor: 3.240

9.  Effects of Starch Level and a Mixture of Sunflower and Fish Oils on Nutrient Intake and Digestibility, Rumen Fermentation, and Ruminal Methane Emissions in Dairy Cows.

Authors:  Babak Darabighane; Ilma Tapio; Laura Ventto; Piia Kairenius; Tomasz Stefański; Heidi Leskinen; Kevin J Shingfield; Johanna Vilkki; Ali-Reza Bayat
Journal:  Animals (Basel)       Date:  2021-05-02       Impact factor: 2.752

10.  Gene network analysis identifies rumen epithelial cell proliferation, differentiation and metabolic pathways perturbed by diet and correlated with methane production.

Authors:  Ruidong Xiang; Jody McNally; Suzanne Rowe; Arjan Jonker; Cesar S Pinares-Patino; V Hutton Oddy; Phil E Vercoe; John C McEwan; Brian P Dalrymple
Journal:  Sci Rep       Date:  2016-12-14       Impact factor: 4.379

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