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http://dx.doi.org/10.5713/ajas.2013.13260

In vitro Evaluation of Different Feeds for Their Potential to Generate Methane and Change Methanogen Diversity  

Kim, Seon-Ho (Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University)
Mamuad, Lovelia L. (Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University)
Jeong, Chang-Dae (Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University)
Choi, Yeon-Jae (Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University)
Lee, Sung Sill (Department of Applied Life Science, Gyeongsang National University)
Ko, Jong-Youl (Nonghyup Feed, National Livestock Cooperation Federation)
Lee, Sang-Suk (Ruminant Nutrition and Anaerobe Laboratory, Department of Animal Science and Technology, Sunchon National University)
Publication Information
Asian-Australasian Journal of Animal Sciences / v.26, no.12, 2013 , pp. 1698-1707 More about this Journal
Abstract
Optimization of the dietary formulation is the most effective way to reduce methane. Nineteen feed ingredients (brans, vegetable proteins, and grains) were evaluated for their potential to generate methane and change methanogen diversity using an in vitro ruminal fermentation technique. Feed formulations categorized into high, medium and low production based on methane production of each ingredient were then subjected to in vitro fermentation to determine the real methane production and their effects on digestibility. Methanogen diversity among low, medium and high-methane producing groups was analyzed by PCR-DGGE. The highest methane production was observed in Korean wheat bran, soybean and perilla meals, and wheat and maize of brans, vegetable protein and cereal groups, respectively. On the other hand, corn bran, cotton seed meal and barley led to the lowest production in the same groups. Nine bacteria and 18 methanogen 16s rDNA PCR-DGGE dominant bands were identified with 83% to 99% and 92% to 100% similarity, respectively. Overall, the results of this study showed that methane emissions from ruminants can be mitigated through proper selection of feed ingredients to be used in the formulation of diets.
Keywords
Feeds Evaluation; Methanogen Diversity; Methane Production; Ruminal Fermentation;
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1 Getachew, G., M. Blummel, H. P. S. Makkar, and K. Becker. 1998. In vitro gas measuring techniques for assessment of nutritional quality of feeds: a review. Anim. Feed Sci. Technol. 72:261-281.   DOI   ScienceOn
2 Hane, B. G., K. Jager, and H. G. Drexler. 1993. The pearson product-moment correlation coefficient is better suited for identification of DNA fingerprint profiles than band matching algorithms. Electrophoresis 14:967-972.   DOI   ScienceOn
3 Han, S.-K., S.-H. Kim, and H.-S. Shin. 2005. UASB treatment of wastewater with VFA and alcohol generated during hydrogen fermentation of food waste. Proc. Biochem. 40:2897-2905.   DOI   ScienceOn
4 Kimihiro, H. and H. Matsui. 2008. Diversity of fumarate reducing bacteria in the bovine rumen revealed by culture dependent and independent approaches. Anaerobe 14:87-93.   DOI   ScienceOn
5 Lane, D. J. 1991. 16S/23S rRNA sequencing. Nucleic Acid Techniques in Bacterial Systematics.
6 Lee, H. J., S. C. Lee, J. D. Kim, Y. G. Oh, B. K. Kim, C. W. Kim, and K. J. Kim. 2003. Methane production potential of feed ingredients as measured by in vitro gas test. Asian-Aust. J. Anim. Sci. 16:1143-1150.   과학기술학회마을   DOI
7 McAllister, T. A., E. K. Okine, G. W. Mathison, and K. J. Cheng. 1996. Dietary, environmental and microbiological aspects of methane production in ruminants. Canadian J. Anim. Sci. 76:231-243.   DOI   ScienceOn
8 McAllister, T. A., L. M. Rode, D. J. Major, K. J. Cheng, and J. G. Buchanan-Smith. 1990. Effect of ruminal microbial colonization on cereal grain digestion. Canadian J. Anim. Sci. 70:571-579.   DOI
9 McDonald, P., R. A. Edwards, and J. F. D. Greenhalgh. 1995. Animal Nutrition 5th. Longman, London, UK.
10 Miller, T. L., M. J. Wolin, H. X. Zhao, and M. P. Bryant. 1986. Characteristics of methanogens isolated from bovine rumen. Appl. Environ. Microbiol. 51:201-202.
11 Moe, W. P. and H. F. Tyrrell. 1979. Methane production in dairy cows. J. Dairy Sci. 62:1583-1586.   DOI
12 Moore, T. R. and M. Dalva. 1997. Methane and carbon dioxide exchange potentials of peat soils in aerobic and anaerobic laboratory incubations. Soil Biol. Biochem. 29:1157-1164.   DOI   ScienceOn
13 Muyzer, G., E. C. de Waal, and A. G. Uitterlinden. 1993. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl. Environ. Microbiol. 59:695-700.
14 Muyzer, G. and K. Smalla. 1998. Application of denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) in microbial ecology. Antonie van Leeuwenhoek 73:127-141.   DOI   ScienceOn
15 Nubel, U., B. Engelen, A. Felske, J. Snaidr, A. Wieshuber, R. I. Amann, W. Ludwig, and H. Backhaus. 1996. Sequence heterogeneities of genes encoding 16S rRNAs in Paenibacillus polymyxa detected by temperature gradient gel electrophoresis. J. Bacteriol. 178:5636-5643.
16 Orskov, E. R. and I. McDonald. 1979. The estimation of protein degradability in the rumen from incubation measurements weighted according to rate of passage. J. Agric. Sci. 92:499-503.   DOI
17 Qin, W. Z., C. Y. Li, J. K. Kim, J. G. Ju, and M. K. Song. 2012. Effects of defaunation on fermentation characteristics and methane production by rumen microbes in vitro when incubated with starchy feed sources. Asian-Aust. J. Anim. Sci. 25:1381-1388.   과학기술학회마을   DOI   ScienceOn
18 SAS. 2002. SAS/STAT. Statistical analysis systems for Windows. Release 9.1. SAS Institute Inc., Cary, N.C., USA.
19 Shibata, M. 1992. Methane production in heifers, sheep and goats consuming diets of various hay-concentrate ratios. Anim. Sci. Technol. 63:1221-1227.
20 Simpson, J. M., V. J. McCracken, B. A. White, H. R. Gaskins, and R. I. Mackie. 1999. Application of denaturant gradient gel electrophoresis for the analysis of the porcine gastrointestinal microbiota. J. Microbiol. Methods 36:167-179.   DOI   ScienceOn
21 Swan, C. G., J. G. P. Bowman, J. M. Martin, and M. J. Giroux. 2006. Increased puroindoline levels slow ruminal digestion of wheat (Triticum aestivum L.) starch by cattle. J. Anim. Sci. 84:641-650.
22 Tabaru, H., E. Kadota, H. Yamada, N. Sasaki, and A. Takeuchi. 1988. Determination of volatile fatty acids and lactic acid in bovine plasma and ruminal fluid by high performance liquid chromatography. Nihon Juigaku Zasshi 50:1124-1126.   DOI   ScienceOn
23 Van Kessel, J. A. S. and J. B. Russell. 1996. The effect of pH on ruminal methanogenesis. FEMS Microbiol. Ecol. 20:205-210.   DOI   ScienceOn
24 Van Nevel, C. J. and D. I. Demeyer. 1977. Effect of monensin on rumen metabolism in vitro. Appl. Environ. Microbiol. 34:251-257.
25 Watanabe, T., S. Asakawa, A. Nakamura, K. Nagaoka, and M. Kimura. 2004. DGGE method for analyzing 16S rDNA of methanogenic archaeal community in paddy field soil. FEMS Microbiol. Lett. 232:153-163.   DOI   ScienceOn
26 Wright, A.-D. G. and C. Pimm. 2003. Improved strategy for presumptive identification of methanogens using 16S riboprinting. J. Microbiol. Methods 55:337-349.   DOI   ScienceOn
27 Zhou, M., Y. H. Chung, K. A. Beauchemin, L. Holtshausen, M. Oba, T. A. McAllister, and L. L. Guan. 2001. Relationship between rumen methanogens and methane production in dairy cows fed diets supplemented with a feed enzyme additive. J. Appl. Microbiol. 111:1148-1158.
28 Bano, N., S. Ruffin, B. Ransom, and J. T. Hollibaugh. 2004. Phylogenetic composition of arctic ocean archaeal assemblages and comparison with antarctic assemblages. Appl. Environ. Microbiol. 70:781-789.   DOI   ScienceOn
29 Association of Official Analytical Chemists (AOAC). 1990. Official methods of analysis association of official analytical chemists. 16th ed. AOAC International, Washington, DC.
30 Asanuma, N., M. Iwamoto, and T. Hino. 1999. Effect of the addition of fumarate on methane production by ruminal microorganisms in vitro. J. Dairy Sci. 82:780-787.   DOI   ScienceOn
31 Beauchemin, A. K. and S. M. McGinn. 2005. Methane emissions from feedlot cattle fed barley or corn diets. J. Anim. Sci. 83:653-661.
32 Bonhomme, A. 1990. Rumen ciliates: their metabolism and relationships with bacteria and their hosts. Anim. Feed Sci. Technol. 30:203-266.   DOI   ScienceOn
33 Chaney, A. L. and E. P. Marbach. 1962. Modified reagents for determination of urea and ammonia. Clin. Chem. 8:130-132.