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In vitro production of gas methane by tropical grasses

Produccion in vitro de gas metano por gramineas forrajeras tropicales



How to Cite
Ley de Coss, A., Guerra-Medina, E., Montañez-Valdez, O., Guevara H, F., Pinto R, R., & Reyes-Gutiérrez, J. A. (2018). In vitro production of gas methane by tropical grasses. Journal MVZ Cordoba, 23(3), 6788-6798. https://doi.org/10.21897/rmvz.1368

Dimensions
PlumX
Alejandro Ley de Coss
Enrique Guerra-Medina
Oziel Montañez-Valdez
Francisco Guevara H
René Pinto R
José Andrés Reyes-Gutiérrez

Objetives. Estimate the production of methane (CH4) by tropical grasses fermented in vitro. Materials and methods. A sample of 20 g dry matter of Cynodon nlemfuensis, Hyparrhenia rufa, Megathyrsus maximus and Digitaria swazilandesis plus 200 ml of culture medium were plated in triplicate flasks sterile stainless steel with CO2 flux, inoculated with 20 ml of ruminal fluid bovine, incubated at 38 °C for 24, 48, 72 and 96 h. Total production of gas, CH4, volatile fatty acids, and pH were evaluated in a completely randomized design with three replicates per treatment and comparison of means with Tukey; the concentration of total and cellulolytic bacteria were analyzed with the Kruskal-Wallis, and the GLM procedure independent data Wilcoxon rank. Results. H. rufa and D. swazilandensis both had the lowest total gas production (p<0.05), while D. swazilandesis had lower production of CH4, increased production of propionic acid (p<0.05) and lower pH 96 hours of incubation (p<0.05). D. swazilandesis showed greater efficiency in energy production due to reduced production of CH4 and increased propionate production. The concentration of total bacteria was similar between treatments (p>0.05), while the concentration of cellulolytic bacteria was lower in C. nlemfuensis y D. swazilandesis when 96 of incubation (p<0.05). Conclusions. The Digitaria swazilandesis, showed favorable conditions to have lower total methane and total gas production.


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  1. Dong LF, Yan T, Ferris CP, Mcdowell DA, Gordon A. Is there a relationship between genetic merit and enteric methane emission rate of lactating Holstein-Friesian dairy cows? Animal 2015; 9(11):1807-1812. https://doi.org/10.1017/S1751731115001445
  2. Hynes DN, Stergiadis S, Gordon A, Yan T. Effects of concentrate crude protein content on nutrient digestibility, energy utilization, and methane emissions in lactating dairy cows fed fresh-cut perennial grass. J Dairy Sci 2016; 99(11):8858–8866. https://doi.org/10.3168/jds.2016-11509
  3. Zheng Z, Liu J, Yuan X, Wang X, Zhu W, Yang F, et al. Effect of dairy manure to switchgrass co-digestion ratio on methane production and the bacterial community in batch anaerobic digestion. Appl Energy 2015; 151:249–57. https://doi.org/10.1016/j.apenergy.2015.04.078
  4. I-amagua-Uyaguari JP, Jenet A, Alarcón-Guerra LG, Vilchez-Mendoza SJ, Casasola-Coto F, Wattiaux MA. Impactos económicos y ambientales de las estrategias de alimentación en lecherías de Costa Rica. Agron Mesoam 2016; 1(27):1–17.
  5. Chaokaur A, Nishida T, Phaowphaisal I, Sommart K. Effects of feeding level on methane emissions and energy utilization of Brahman cattle in the tropics. Agric Ecosyst Environ 2015; 199:225–230. https://doi.org/10.1016/j.agee.2014.09.014
  6. Hill J, McSweeney C, Wright ADG, Bishop-Hurley G, Kalantar-zadeh K. Measuring methane production from ruminants. Trends in biotechnol 2016; 34(1):26-35. https://doi.org/10.1016/j.tibtech.2015.10.004
  7. Stewart C, Paniagua C, Dinsdale D. Selective isolation and characteristics of Bacteriodes succinogenes from the rumen of a cow. Appl Environ Microbiol 1981; 4(2):504-510.
  8. Galindo J, Marrero Y, González N, Sosa A. Efecto de preparados con levaduras Saccharomyces cerevisiae y LEVICA-25 viables en los metanógenos y metanogénesis ruminal in vitro. Rev Cuba 2010; 44(3):273-279.
  9. Appuhamy JADRN, France J, Kebreab E. Models for predicting enteric methane emissions from dairy cows in North America, Europe, and Australia and New Zealand. Glob Chang Biol 2016; 22(9):3039–3056. https://doi.org/10.1111/gcb.13339
  10. AOAC. Official Methods of Analysis (19th) Association of Official Analytical Chemists. Arligton (VA), Washington DC: AOAC; 2012.
  11. Van Soest P, Robertson J, Lewis B. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci 1991; 74(10):3583-3597. https://doi.org/10.3168/jds.S0022-0302(91)78551-2
  12. Williams B. Cumulative gas-production techniques for forage evaluation. En: Givens DI, Owen E, Axford RFE, Omed HM, editors. Forage Evaluation in Ruminant Nutrition; 2000. p. 189-213. https://doi.org/10.1079/9780851993447.0189
  13. Cobos M, Yokoyama M. Clostridium paraputrificum var. Ruminantium: Colonisation and degradation of shrimp carapaces. En: Workshop on Rumen Ecology Research Planning, Addis Ababa, Ethiopia; 1995. p.151-162.
  14. Stolaroff JK, Keith DW, Lowry G V. Carbon Dioxide Capture from Atmospheric Air using Sodium Hydroxide Spray. Environ Sci Technol 2008; 42(8):2728–35. https://doi.org/10.1021/es702607w
  15. Lin C, Chen B. Carbon dioxide absorption into NaOH solution in a cross-flow rotating packed bed. J Ind Eng Chem 2007; 13(7):1083-1090.
  16. Ley de Coss A, Peralta MC. Formulación de un medio de cultivo anaerobio para protozoarios ruminales y evaluación in vitro en la capacidad desfaunante del extracto de plantas. Rev Cient FCV-LUZ 2011; 21(1):43-49.
  17. Ley de Coss A, Arce-Espino C, Cobos-Peralta M. Estudio comparativo entre la cepa de Pediococcus acidilactici aislada del rumen de borregos y un consorcio de bacteria ruminales. Agrociencia 2013; 47(6):567-568.
  18. Cobos M, Pérez-Sato M, Piloni-Martini J. Evaluation of diets containing shrimp shell waste and an inoculum of Streptococcus milleri on rumen bacteria and performance of lambs. Anim Feed Sci Tech 2007; 132(3):324-330. https://doi.org/10.1016/j.anifeedsci.2006.03.019
  19. SAS. Statistical Analisys Software, SAS/STAT. Versión 9.3 Edition. Cary (NC): SAS institute Inc; 2011.
  20. Theodorou M, France J. Rumen microorganisms and their interactions. En: Forbes JM, France J, editors. Quantitative Aspects of Ruminant Digestion and Metabolism. CAB International, Wallingford, U.K Quant Asp Rumin. 2005; p.145-162. https://doi.org/10.1079/9780851998145.0207
  21. Avellaneda CJH, Monta-ez-Valdez OD, González-Mu-oz S, Pinos-Rodríguez J, Bárcena-Gama R, Hernández-Garay A. Effect of exogenous fibrolytic enzymes on dry matter and cell wall in vitro digestibility of Guinea grass hay. J Appl Ani Res 2009; 36(2):199-202. https://doi.org/10.1080/09712119.2009.9707059
  22. Dijkstra J, Ellis JL, Kebreab E, Strathe AB, López S, France J, Bannink A. Ruminal pH regulation and nutritional consequences of low pH. Anim Feed Sci Tech 2012; 172(1):22-33. https://doi.org/10.1016/j.anifeedsci.2011.12.005
  23. Russell JB, Murk RE, Weimer PJ. Quantitative analysis of cellulose degradation and growth of cellulolytic bacteria in the rumen FEMS Microbiol Ecol 2009;67(2):183-197. https://doi.org/10.1111/j.1574-6941.2008.00633.x
  24. Friggens NC, Oldham JD, Dewhurst RJ, Horgan G. Proportions of volatile fatty acids in relation to the chemical composition of feeds based on grass silage. J Dairy Sci 1998; 81(5):1331–44. https://doi.org/10.3168/jds.S0022-0302(98)75696-6
  25. Danielsson R, Dicksved J, Sun L, Gonda H, Müller B, Schnürer A, Bertilsson J. Methane production in dairy cows correlates with rumen methanogenic and bacterial community structure. Front Microbiol 2017; 8:A-226. https://doi.org/10.3389/fmicb.2017.00226
  26. Rico DE, Chouinard PY, Hassanat F, Benchaar C, Gervais R. Prediction of enteric methane emissions from Holstein dairy cows fed various forage sources. animal, 2016;10(2):203-211. https://doi.org/10.1017/S1751731115001949
  27. Calsamiglia S, Cardozo PW, Ferret a, Bach a. Changes in rumen microbial fermentation are due to a combined effect of type of diet and pH. J Anim Sci 2008; 86(3):702–711. https://doi.org/10.2527/jas.2007-0146
  28. McAllister TA, Newbold CJ. Redirecting rumen fermentation to reduce methanogenesis. Anim Prod Scie 2008; 48(2):7-13. https://doi.org/10.1071/EA07218
  29. Morgavi DP, Forano E, Martin C, Newbold CJ. Microbial ecosystem and methanogenesis in ruminants. Animal 2010;4(7):1024-1036. https://doi.org/10.1017/S1751731110000546
  30. Gidlund H, Hetta M, Krizsan SJ, Lemosquet S, Huhtanen P. (2015). Effects of soybean meal or canola meal on milk production and methane emissions in lactating dairy cows fed grass silage-based diets. J Anim Sci 2015;98(11):8093-8106. https://doi.org/10.3168/jds.2015-9757
  31. Ranilla MJ, Jouany JP, Morgavi DP. Methane production and substrate degradation by rumen microbial communities containing single protozoal species in vitro. Lett Appl Microbiol 2007;45(6):675-680. https://doi.org/10.1111/j.1472-765X.2007.02251.x

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