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Association of fibre degradation with ruminal dissolved hydrogen in growing beef bulls fed with two types of forages

  • Rong Wang (a1), Min Wang (a1), Bo Lin (a2), Zhi Yuan Ma (a1), Emilio M. Ungerfeld (a3), Ting Ting Wu (a2), Jiang Nan Wen (a1), Xiu Min Zhang (a1), Jin Ping Deng (a4) and Zhi Liang Tan (a1)...


The present study investigated the association between fibre degradation and the concentration of dissolved molecular hydrogen (H2) in the rumen. Napier grass (NG) silage and corn stover (CS) silage were compared as forages with contrasting structures and degradation patterns. In the first experiment, CS silage had greater 48-h DM, neutral-detergent fibre (NDF) and acid-detergent fibre degradation, and total gas and methane (CH4) volumes, and lower 48-h H2 volume than NG silage in 48-h in vitro incubations. In the second experiment, twenty-four growing beef bulls were fed diets including 55 % (DM basis) NG or CS silages. Bulls fed the CS diet had greater DM intake (DMI), average daily gain, total-tract digestibility of OM and NDF, ruminal dissolved methane (dCH4) concentration and gene copies of protozoa, methanogens, Ruminococcus albus and R. flavefaciens, and had lower ruminal dH2 concentration, and molar proportions of valerate and isovalerate, in comparison with those fed the NG diet. There was a negative correlation between dH2 concentration and NDF digestibility in bulls fed the CS diet, and a lack of relationship between dH2 concentration and NDF digestibility with the NG diet. In summary, the fibre of CS silage was more easily degraded by rumen microorganisms than that of NG silage. Increased dCH4 concentration with the CS diet presumably led to the decreased ruminal dH2 concentration, which may be helpful for fibre degradation and growth of fibrolytic micro-organisms in the rumen.


Corresponding author

*Corresponding author: Min Wang, fax +86 7314612685, email


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1.Zebeli, Q, Ghareeb, K, Humer, E, et al. (2015) Nutrition, rumen health and inflammation in the transition period and their role on overall health and fertility in dairy cows. Res Vet Sci 103, 126136.
2.Omidi-Mirzaei, H, Azarfar, A, Kiani, A, et al. (2018) Interaction between the physical forms of starter and forage source on growth performance and blood metabolites of Holstein dairy calves. J Dairy Sci 101, 60746084.
3.Jiao, J, Wang, P, He, Z, et al. (2014) In vitro evaluation on neutral detergent fiber and cellulose digestion by post-ruminal microorganisms in goats. J Sci Food Agric 94, 17451752.
4.Lengowski, MB, Witzig, M, Möhring, J, et al. (2016) Effects of corn silage and grass silage in ruminant rations on diurnal changes of microbial populations in the rumen of dairy cows. Anaerobe 42, 616.
5.Hungate, R (1967) Hydrogen as an intermediate in the rumen fermentation. Arch Mikrobiol 59, 158164.
6.Wolin, MJ (1979) The rumen fermentation: a model for microbial interactions in anaerobic ecosystems. Adv Microb Ecol 3, 4977.
7.Janssen, PH (2010) Influence of hydrogen on rumen methane formation and fermentation balances through microbial growth kinetics and fermentation thermodynamics. Anim Feed Sci Technol 160, 122.
8.Wang, M, Wang, R, Xie, TY, et al. (2016) Shifts in rumen fermentation and microbiota are associated with dissolved ruminal hydrogen concentrations in lactating dairy cows fed different types of carbohydrates. J Nutr 146, 17141721.
9.Daud, Z, Mohd Hatta, MZ, Mohd Kassim, ASet al. (2014) Analysis of Napier grass (Pennisetum purpureum) as a potential alternative fibre in paper industry. Mater Res Innov 18, S6-18S16-20.
10.Himmel, ME, Ding, SY, Johnson, DK, et al. (2007) Biomass recalcitrance: engineering plants and enzymes for biofuels production. Science 315, 804807.
11.Li, Z, Zhai, H, Zhang, Y, et al. (2012) Cell morphology and chemical characteristics of corn stover fractions. Ind Crops Prod 37, 130136.
12.Wang, M, Wang, R, Yang, S, et al. (2016) Effects of three methane mitigation agents on parameters of kinetics of total and hydrogen gas production, ruminal fermentation and hydrogen balance using in vitro technique. Anim Sci J 87, 224232.
13.Menke, KH, Raab, L, Salewski, A, et al. (1979) Estimation of the digestibility and metabolizable energy content of ruminant feeding stuffs from the gas production when they are incubated with rumen liquor in vitro. J Agric Sci 93, 217222.
14.Zhang, HF & Zhang, ZY (1998) Animal Nutrition Parameters and Feeding Standard. Beijing: China Agriculture Press.
15.Wang, M, Wang, R, Janssen, PH, et al. (2016) Sampling procedure for the measurement of dissolved hydrogen and volatile fatty acids in the rumen of dairy cows. J Anim Sci 94, 11591169.
16.Wang, M, Sun, XZ, Janssen, PH, et al. (2014) Responses of methane production and fermentation pathways to the increased dissolved hydrogen concentration generated by eight substrates in in vitro ruminal cultures. Anim Feed Sci Technol 194, 111.
17.AOAC (1995) Official Methods of Analysis, 16th ed.Arlington, VA: Association of Official Analytical Chemists.
18.Van Soest, P, Robertson, J & Lewis, B (1991) Symposium: carbohydrate methodology, metabolism, and nutritional implications in dairy cattle. J Dairy Sci 74, 35833597.
19.Karthner, RJ & Theurer, B (1981) Comparison of hydrolysis methods used in feed, digesta, and fecal starch analysis. J Agric Food Chem 29, 811.
20.Licitra, G, Hernandez, TM & VanSoest, PJ (1996) Standardization of procedures for nitrogen fractionation of ruminant feeds. Anim Feed Sci Technol 57, 347358.
21.Zhang, XM, Wang, M, Wang, R, et al. (2018) Urea plus nitrate pretreatment of rice and wheat straws enhances degradation and reduces methane production in in vitro ruminal culture. J Sci Food Agric 98, 52055211.
22.Weatherburn, M (1967) Phenol-hypochlorite reaction for determination of ammonia. Anal Chem 39, 971974.
23.Yu, Z & Morrison, M (2004) Improved extraction of PCR-quality community DNA from digesta and fecal samples. BioTechniques 36, 808812.
24.Jiao, J, Lu, Q, Tan, Z, et al. (2014) In vitro evaluation of effects of gut region and fiber structure on the intestinal dominant bacterial diversity and functional bacterial species. Anaerobe 28, 168177.
25.Horton, NJ & Kleinman, K (2015) Using R and RStudio for Data Management, Statistical Analysis, and Graphics. Boca Raton, FL: CRC Press.
26.Rorabacher, DB (1991) Statistical treatment for rejection of deviant values: critical values of Dixon’s “Q” parameter and related subrange ratios at the 95 % confidence level. Anal Chem 63, 139146.
27.Ruiz, TM, Sanchez, WK, Staples, CR, et al. (1992) Comparison of Mott dwarf elephant grass silage and corn silage for lactating dairy cows. J Dairy Sci 75, 533543.
28.Allen, MS (1996) Physical constraints on voluntary intake of forages by ruminants. J Anim Sci 74, 30633075.
29.Elleuch, M, Bedigian, D, Roiseux, O, et al. (2011) Dietary fibre and fibre-rich by-products of food processing: characterisation, technological functionality and commercial applications: a review. Food Chem 124, 411421.
30.Foschia, M, Peressini, D, Sensidoni, A, et al. (2013) The effects of dietary fibre addition on the quality of common cereal products. J Cereal Sci 58, 216227.
31.van Lingen, HJ, Plugge, CM, Fadel, JG, et al. (2016) Thermodynamic driving force of hydrogen on rumen microbial metabolism: a theoretical investigation. PLOS ONE 11, e0161362.
32.McAllister, TA & Newbold, CJ (2008) Redirecting rumen fermentation to reduce methanogenesis. Aust J Exp Agric 48, 713.
33.Ungerfeld, EM (2015) Shifts in metabolic hydrogen sinks in the methanogenesis-inhibited ruminal fermentation: a meta-analysis. Front Microbiol 63, 37.
34.Wolin, MJ, Miller, TL & Stewart, CS (1997) Microbe–microbe interactions. In The Rumen Microbial Ecosystem, pp. 467–491 [Hobson, PN and Stewart, CS, editors]. London: Blackie Academic & Professional.
35.Dijkstra, J, Boer, H, Vanbruchem, J, et al. (1993) Absorption of volatile fatty acids from the rumen of lactating dairy cows as influenced by volatile fatty acid concentration, pH and rumen liquid volume. Br J Nutr 69, 385396.
36.Storm, AC, Kristensen, NB & Hanigan, MD (2012) A model of ruminal volatile fatty acid absorption kinetics and rumen epithelial blood flow in lactating Holstein cows. J Dairy Sci 95, 29192934.
37.Hall, MB, Nennich, TD, Doane, PH, et al. (2015) Total volatile fatty acid concentrations are unreliable estimators of treatment effects on ruminal fermentation in vivo. J Dairy Sci 98, 39883999.
38.Morgavi, DP, Martin, C, Jouany, JP, et al. (2012) Rumen protozoa and methanogenesis: not a simple cause–effect relationship. Br J Nutr 107, 388397.
39.Edwards, JE, Kingston-Smith, AH, Jimenez, HR, et al. (2008) Dynamics of initial colonization of nonconserved perennial ryegrass by anaerobic fungi in the bovine rumen. FEMS Microbiol Ecol 66, 537545.
40.Belanche, A, Doreau, M, Edwards, JE, et al. (2012) Shifts in the rumen microbiota due to the type of carbohydrate and level of protein ingested by dairy cattle are associated with changes in rumen fermentation. J Nutr 142, 16841692.
41.Newbold, CJ, de la Fuente, G, Belanche, A, et al. (2015) The role of ciliate protozoa in the rumen. Front Microbiol 63, 1313.
42.Tokura, M, Chagan, I, Ushida, K, et al. (1999) Phylogenetic study of methanogens associated with rumen ciliates. Curr Microbiol 39, 123128.
43.Lewis, WH, Sendra, KM, Embley, TM, et al. (2018) Morphology and phylogeny of a new species of anaerobic ciliate, Trimyema finlayi n. sp., with endosymbiotic methanogens. Front Microbiol 6, 140.
44.Feng, YL (2000) Nutritional Requirements and Feeding Standard for Beef Cattle. Beijing: China Agricultural University Press.


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Association of fibre degradation with ruminal dissolved hydrogen in growing beef bulls fed with two types of forages

  • Rong Wang (a1), Min Wang (a1), Bo Lin (a2), Zhi Yuan Ma (a1), Emilio M. Ungerfeld (a3), Ting Ting Wu (a2), Jiang Nan Wen (a1), Xiu Min Zhang (a1), Jin Ping Deng (a4) and Zhi Liang Tan (a1)...


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