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Article| Volume 87, ISSUE 1, P112-121, January 2004

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Methane Production by Mixed Ruminal Cultures Incubated in Dual-Flow Fermentors

  • Author Footnotes
    * Present address: Agriculture and Agri-Food Canada, Research Centre, 5403 1st Ave. South, PO Box 3000, Lethbridge, AB T1K 4B1, Canada.
    J-S. Eun
    Footnotes
    * Present address: Agriculture and Agri-Food Canada, Research Centre, 5403 1st Ave. South, PO Box 3000, Lethbridge, AB T1K 4B1, Canada.
    Affiliations
    Department of Animal Science, North Carolina State University, Raleigh 27695
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  • Author Footnotes
    † To whom correspondence should be addressed.
    V. Fellner
    Correspondence
    Corresponding author.
    Footnotes
    † To whom correspondence should be addressed.
    Affiliations
    Department of Animal Science, North Carolina State University, Raleigh 27695
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  • M.L. Gumpertz
    Affiliations
    Department of Statistics, North Carolina State University, Raleigh 27695
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  • Author Footnotes
    * Present address: Agriculture and Agri-Food Canada, Research Centre, 5403 1st Ave. South, PO Box 3000, Lethbridge, AB T1K 4B1, Canada.
    † To whom correspondence should be addressed.

      Abstract

      This study evaluated the effects of dilution rate and forage-to-concentrate ratio on gas production by rumen microbes. Continuous cultures were used to monitor methane production at three liquid dilution rates (3.2, 6.3, or 12.5%/h) and three forage-to-concentrate ratios (70:30, 50:50, or 30:70). Filtered ruminal contents were allowed 6 d of adaptation to diets followed by 7 d of data collection. Forage consisted of pelleted alfalfa and the concentrate mix included ground corn, soybean meal, and a mineral and vitamin premix. The experiment was replicated in a split-plot design. Total volatile fatty acid production averaged 58.0 mmol/d and was not affected by treatment. Molar proportion of acetate increased with increasing forage-to-concentrate ratio. Molar proportion of propionate tended to decrease at dilution rate of 12.5%/h and increased with the medium and low forage-to-concentrate ratio. Culture pH tended to be greater at a dilution rate of 12.5%/h. Methane production that was calculated from stoichiometric equations was not affected by treatments. However, methane production based on methane concentration in fermentor headspace resulted in an interaction effect of treatments. Stoichiometric equations underestimated methane output at higher dilution rates and with high forage diets. Total diet fermentability was lowest at dilution rate of 3.2%/h. Increasing dilution rates increased microbial yield; increasing the proportion of concentrate improved microbial efficiency. Dilution rate and forage-to-concentrate ratio altered the partition of substrate by microbes. Methane production based on actual concentrations differed from values estimated using stoichiometry of end-product appearance.

      Key words

      Abbreviation key:

      A:P (acetate-to-propionate), F:C (forage-to-concentrate ratio), HF (high forage (70 forage:30 concentrate)), LF (low forage (30 forage:70 concentrate)), MF (medium forage (50 forage:50 concentrate))

      Introduction

      Volatile fatty acids, CO2, and methane (CH4) are the major end products of anaerobic fermentation of feeds in the rumen. Stoichiometric equations relating substrate degradation to VFA and gas production have been developed and are commonly used to estimate digestibility of ruminant feeds (
      • Wolin M.J.
      A theoretical rumen fermentation balance.
      ;
      • Russell J.B.
      • Baldwin R.L.
      Comparison of maintenance energy expenditures and growth yields among several rumen bacteria grown on continuous culture.
      ;
      • Menke K.H.
      • Raab L.
      • Salewski A.
      • Steingass H.
      • Fritz D.
      • Schneider W.
      The estimation of the digestibility and metabolizable energy content of ruminant feedingstuffs from the gas production when they are incubated with rumen liquor in vitro.
      ;
      • Van Soest P.J.
      Microbes in the gut.
      ). Total gas production is increasingly used as a measure of the fermentation potential of feeds (
      • Beuvink J.M.W.
      • Spoelstra S.F.
      Interactions between substrate, fermentation end-products, buffering systems and gas production upon fermentation of different carbohydrates by mixed rumen microorganisms in vitro.
      ;
      • Pell A.N.
      • Schofield P.
      Computerized monitoring of gas production to measure forage digestion in vitro.
      ). Because the composition of the end products influences the amount of gas produced, a close relationship between the two has been reported (
      • Naga M.A.
      • Harmeyer J.H.
      Gas and volatile fatty acid production at different rates of rumen microbial protein synthesis in vitro.
      ;
      • Taya M.
      • Ohmiya K.
      • Kobayashi T.
      • Shimizu S.
      Monitoring and control of a cellulolytic anaerobe culture by using gas evolved as an indicator.
      ;
      • Menke K.H.
      • Steingass H.
      Estimation of the energetic feed value obtained from chemical analysis and in vitro gas production using rumen fluid.
      ). However, rate of fermentation can vary with carbohydrate fraction; rapidly fermenting carbohydrates may not always result in larger amounts of total gas production (
      • Beuvink J.M.W.
      • Spoelstra S.F.
      Interactions between substrate, fermentation end-products, buffering systems and gas production upon fermentation of different carbohydrates by mixed rumen microorganisms in vitro.
      ). Also, total gas yield can vary considerably due to the incorporation of carbons into microbial mass as well as the different metabolic pathways by which carbohydrate fractions can be degraded by rumen microbes (
      • Krishnamoorthy U.
      • Steingass H.
      • Menke K.H.
      Preliminary observations on the relationship between gas production and microbial synthesis in vitro.
      ;
      • Beuvink J.M.W.
      • Spoelstra S.F.
      Interactions between substrate, fermentation end-products, buffering systems and gas production upon fermentation of different carbohydrates by mixed rumen microorganisms in vitro.
      ;
      • Van Soest P.J.
      Microbes in the gut.
      ). The relationship between microbial biomass and gas yield can vary also with growth conditions (
      • Krishnamoorthy U.
      • Steingass H.
      • Menke K.H.
      Preliminary observations on the relationship between gas production and microbial synthesis in vitro.
      ;
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      ). With short-duration incubation studies, fermentation rate as measured by gas production has been used as an index of net growth yield of rumen microorganisms (
      • El-Din M.Z.
      • El-Shazly K.
      Evaluation of a method of measuring fermentation rates and net growth of rumen microorganisms.
      ). Extending the period of incubation reduced net growth of microorganisms even though gas production continued to increase (

      Raab, L. 1980. Untersuchungen über den proteinabbau und die proteinsynthese im künstlichen pansen. Ph.D. Dissertation. University of Hohenheim, Stuttgart, Germany.

      ). Increased lysis of microbial cells as a consequence of substrate exhaustion and uncoupled fermentation may contribute to reduced net growth at longer incubation times (
      • Van Nevel C.J.
      • Demeyer D.I.
      Determination of rumen microbial growth in vitro from 32P-labelled phosphate incorporation.
      ). Changes in microbial yield or metabolism may alter the relationship between substrate digestion and gas production and could affect the estimation of digestion rate from gas measurements (
      • Doane P.H.
      • Schofield P.
      • Pell A.N.
      Neutral detergent fiber disappearance and gas and volatile fatty acid production during the in vitro fermentation of six forages.
      ). Previous studies do not make any distinction between CO2 and CH4 and assume that the latter arises directly from the former (
      • Beuvink J.M.W.
      • Spoelstra S.F.
      Interactions between substrate, fermentation end-products, buffering systems and gas production upon fermentation of different carbohydrates by mixed rumen microorganisms in vitro.
      ;
      • Theodorou M.K.
      • Lowman R.S.
      • Davies Z.S.
      • Cuddeford D.
      • Owen E.
      Principles of techniques that rely on gas measurement in ruminant nutrition.
      ). There is evidence to suggest that more than one fermentation metabolite may be used for the production of CH4 (
      • Miller T.L.
      Ecology of methane production and hydrogen sinks in the rumen.
      ). Methanogens have been shown to have variable affinities for hydrogen and are capable of altering their growth rates depending upon the availability of hydrogen and CO2 (
      • Morgan R.M.
      • Pihl T.D.
      • Nölling J.
      • Reeve J.N.
      Hydrogen regulation of growth, growth yields, and methane gene transcription in Methanobacterium thermoautotrophicum Delta H.
      ). No study has compared actual CH4 production in mixed ruminal cultures to estimates based on stoichiometric equations. In addition, the generation of microbial biomass can be a sink for reducing equivalents and, if ignored, it can result in the overprediction of CH4 output (
      • Wolin M.J.
      A theoretical rumen fermentation balance.
      ;
      • Hungate R.E.
      Hydrogen as an intermediate in the rumen fermentation.
      ).
      The objective of the present study was to determine CH4 production by mixed ruminal microbes under different dilution rates and dietary treatments. Direct measurements of CH4 concentration in fermentor headspace were compared with estimates of CH4 production based on stoichiometric equations.

      Materials and Methods

      Incubation Conditions

      A mature lactating Holstein cow fitted with a rumen cannula was fed a diet consisting of 63% roughage and 37% concentrate. Grab samples of ruminal contents were taken from various sites within the reticulo-rumen, filtered through double-layered cheesecloth, and transported to the laboratory in sealed, preheated containers. In the laboratory, contents from the containers were filtered again through double-layered cheesecloth into a large, wide-mouth beaker and mixed thoroughly before pouring into the fermentors. The preparation time of the ruminal contents in the laboratory did not exceed 15 min. Approximately 700 ml of the strained ruminal fluid was transferred into each of three fermentors with a continuous dual-flow system (
      • Teather R.M.
      • Sauer F.D.
      A naturally compartmented rumen simulation system for the continuous culture of rumen bacteria and protozoa.
      ). The design of the fermentors allows for natural stratification of contents similar to the way it occurs in the rumen. The stratification of the fermentor contents is accomplished with the presence of a glass “T” that serves as the fermentor overflow. The entrance to the outlet “T” is near the bottom of the suspended particle phase, which allowed for differential liquid and solid turnover rates. The presence and maintenance of the “mat” in the cultures and the relatively slower rate at which culture contents are stirred (10 to 12 rpm) in these fermentors allow protozoal populations to remain in cultures over extended periods. We did not directly measure protozoal populations in the present study. However, protozoa were visually present in the fermentors for the duration of the experiment. Following inoculation, protozoa were consistently discernible as large white bands within the fermentors. Over a 1- to 2-d period, the protozoa tended to localize either at the base or the bottom of the overflow port, areas that seemed to have the slowest turnover rate. The close association between the methanogens and protozoa and the sustained production of methane at high levels in these fermentors for extended periods of operation also suggests that protozoa are maintained during the duration of the study. Several hours prior to the addition of the ruminal fluid, the system was purged with CO2 gas. To displace O2 and maintain anaerobic conditions in the vessels, the rate of CO2 flow through the fermentors was fixed at 20 mL/min throughout the experiments. A circulating water bath was used to maintain the temperature of the fermentors at 39°C. Continuous stirring of fermentor contents was achieved with the aid of a central paddle set at a speed of 10 rpm. Artificial saliva was prepared as described by
      • Slyter L.L.
      • Bryant M.P.
      • Wolin M.J.
      Effect of pH on population and fermentation in a continuously cultured rumen ecosystem.
      and delivered continuously at 0.73 mL/min. Liquid turnover rate was increased or decreased by adjusting the saliva flow rate as described below.

      Dietary Treatments and Dilution Rates

      Experimental diets consisted of 3 forage-to-concentrate (F:C) ratios: high forage (HF), 70:30; medium forage (MF), 50:50; and low forage (LF), 30:70. The forage comprised 100% pelleted alfalfa (16.5% CP) and the concentrate (13.1% CP) consisted of 81.4% ground corn, 10.4% soybean meal (48% CP), 2.1% bentonite, 1.5% sodium bicarbonate, 1.3% phosphate, 1.1% limestone, 1.0% soybean oil, 1.0% salt, and 0.2% vitamin-mineral premix. The chemical composition of dietary treatments is as follows: HF: 31.8% NDF, 15.5% CP, 67.8% TDN; MF: 25.2% NDF, 14.8% CP, 72.8% TDN, and LF: 18.6% NDF, 14.1% CP, and 77.7% TDN. The digestible energy content of the diets was 3.0, 3.2, and 3.4 Mcal/kg and was estimated based on
      National Research Council
      Nutrient Requirements of Dairy Cattle.
      values. A total of 12.8, 12.9, or 13.0 g DM of the diet was added daily in two equal amounts to the fermentor with HF, MF, or LF diets. All fermentors were stabilized on the HF diet for 2 d (stabilization period). Preliminary results have indicated that microbial VFA, CH4, and pH reach a stable steady-state level within 2 d following the addition of ruminal contents into the fermentors. At the end of d 2, one fermentor was maintained on the HF diet, and the other two received the MF diet for an additional 2 d. On d 5, one of the two fermentors receiving the MF diet was switched to the LF diet and was allowed to stabilize for an additional 2 d. By the end of d 6, all three fermentors had been stabilized for at least 2 d on the respective dietary treatments. Data were collected from d 7 to 13 (treatment period).
      The effect of the 3 diets was tested at three different dilution rates of 0.032, 0.063, and 0.125/h, approximating 0.8, 1.5, and 3.0 vol.me turnovers per day. These dilution rates were chosen to cover the physiological range of fluid turnover rates that are typically observed in vivo. Throughout all experiments, fermentors were allowed to stabilize for 2 d at a saliva flow rate of 0.73 mL/min. Following stabilization, saliva flow rate was either maintained at 0.73 mL/min resulting in a fractional dilution rate of 6.3%/h or it was adjusted, beginning on d 3, to obtain fractional dilution rate of 3.2 or 12.5%/h (0.37 or 1.46 mL/min, respectively).

      Sampling and Analyses

      Five milliliters of thoroughly mixed fermentor contents was taken 2 h after the a.m. and p.m. feeding daily for 7 d and analyzed for VFA by GLC (model CP-3380; Varian, Walnut Creek, CA) using a fused silica capillary column (Nukol; Supelco Inc., Bellefonte, PA) and for ammonia-N (NH3-N) using a colorimetric assay (
      • Beecher G.R.
      • Whitten B.K.
      Ammonia determination: Reagent modification and interfering compounds.
      ). Production of NH3-N was calculated as:
      NH3-N(g/d)=NH3-Nconcentration,mg/ml×fermentorvolume(700ml)×turnoverrateoffermentor/1,000.


      Ten microliters of headspace gas samples from the fermentor was drawn into a gas-tight syringe (Hamilton Co., Reno, NV) and analyzed for CH4 by GLC (model CP-3800; Varian) using a stainless steel column packed with Molsieve 5A 45/60 mesh (Supelco Inc.). The pH of the ruminal cultures was monitored continuously and recorded when samples for CH4 were taken.
      Assuming that carbohydrates (hexoses) are the major source of VFA in the rumen, partitioning of substrate use was expressed as the amount of substrate fermented to VFA, gas (CH4 + CO2 direct and indirect), or microbial biomass. The direct source of CO2 is the fermentation of glucose by various pathways yielding VFA, ATP, and CO2. Because the in vitro methods use bicarbonate-based buffering solutions, CO2 is released into the gas phase as VFA enter the medium (
      • Beuvink J.M.W.
      • Spoelstra S.F.
      Interactions between substrate, fermentation end-products, buffering systems and gas production upon fermentation of different carbohydrates by mixed rumen microorganisms in vitro.
      ). This source of CO2 is considered as indirect CO2 production. The amount of substrate fermented to VFA, CH4, and CO2 was calculated based on the moles of individual VFA produced, daily methane output, and CO2 released from fermentation and buffer addition (
      • Wolin M.J.
      A theoretical rumen fermentation balance.
      ;
      • Van Soest P.J.
      Microbes in the gut.
      ;
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      ). Total moles of ATP production were estimated by assigning 2, 3, and 3, moles of ATP per mol of acetic, propionic, and butyric acids, respectively, and 1 mol of ATP per mol of CH4 (
      • Groot J.C.
      • Williams B.A.
      • Oostdam A.J.
      • Boer H.
      • Tamminga S.
      The use of cumulative gas and volatile fatty acid production to predict in vitro fermentation kinetics of Italian ryegrass leaf cell walls and contents at various time intervals.
      ). Microbial efficiency was reported to average 11.7 g of cells/mol of ATP and was not affected significantly by the energy concentration in mixed cultures of ruminal organisms (
      • Isaacson H.R.
      • Hinds F.C.
      • Bryant M.P.
      • Owens F.C.
      Efficiency of energy utilization by mixed rumen bacteria in continuous culture.
      ). However, changing dilution rates did affect the efficiency of microbial protein synthesis that was reported to be 7.5, 11.6, and 16.7 g of cells/mol of ATP at fractional dilution rates of 2, 6, and 12%/h, respectively (
      • Isaacson H.R.
      • Hinds F.C.
      • Bryant M.P.
      • Owens F.C.
      Efficiency of energy utilization by mixed rumen bacteria in continuous culture.
      ). The dilution rates tested in the present study were similar to those used by
      • Isaacson H.R.
      • Hinds F.C.
      • Bryant M.P.
      • Owens F.C.
      Efficiency of energy utilization by mixed rumen bacteria in continuous culture.
      and, therefore, the yield of microbial biomass per mol ATP (YATP) was set to be 7.5, 11.6, and 16.7 mg/mmol ATP for dilution rates of 3.2, 6.3, and 12.5%/h, respectively. Also assumed was that 80% of bacterial components were synthesized from glucose skeletons (
      • Groot J.C.
      • Williams B.A.
      • Oostdam A.J.
      • Boer H.
      • Tamminga S.
      The use of cumulative gas and volatile fatty acid production to predict in vitro fermentation kinetics of Italian ryegrass leaf cell walls and contents at various time intervals.
      ). Consequently, microbial biomass from glucose consumption was calculated as:
      Microbialbiomass(g/d)=0.8YATP2Acetate,mmol/d+3Propionate,mmol/d+3Butyrate,mmol/d+CH4,mmol/d/1,000


      Energy contents of acetate, propionate, butyrate, valerate, isobutyrate, and isovalerate were used to estimate digestible energy. Similarly, energy content of CH4 was used to estimate contribution of energy in CH4 to total digestible energy. In addition to direct measurement of CH4, the production of fermentation gases, CO2 and CH4, and the associated production of H2O, was calculated using the equation outlined by
      • Wolin M.J.
      A theoretical rumen fermentation balance.
      and
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      .

      Experimental Design and Statistical Analyses

      Within a run, an experimental period lasted 13 d, which included 6 d for adaptation followed by 7 d for data collection. Daily values were averaged across the 7 d within each run. A single run was composed of 3 fermentors that were inoculated simultaneously with ruminal contents obtained from the same cow. Each fermentor was randomly assigned to one of 3 diets with different F:C ratios. Each run was replicated (n = 2) at each of the three dilution rates.
      Data were analyzed using the GLM procedure of SAS (SAS Inst. Inc., Cary, NC). Split-plot design was used with dilution rate as whole plot and F:C ratio as subplot. The model used is described by:
      Yijk=μ+DRi+Runj(DRi)+Fck+DRi×FCk+eijk


      where
      Yijk
      individual response variable measured,
      μ
      overall mean,
      DRi
      fixed effect of dilution rate (i = 1 to 3),
      Runj (DRi)
      whole plot error,
      FCk
      fixed effect of F:C ratio (k = 1 to 3),
      DRi × FCk
      fixed effect of interaction between dilution rate and F:C ratio, and
      eijk
      subplot error.
      Dilution rates were compared with the whole plot error term. Forage-to-concentrate ratios and interaction between dilution rate and F:C ratio were tested using the subplot error term. Standard errors appropriate for comparisons among different means were calculated as follows (
      • Steel R.G.D.
      • Torrie J.H.
      • Dickey D.A.
      Analysis of variance IV: Split-plot designs and analysis.
      ):
      forcomparingdilutionrate:SE(y¯1..y¯2..)=2MSEwholeplot6,


      forcomparingF:Crate:SE(y¯1..y¯2..)=2MSEsubplot6.


      Comparison of dilution rate and F:C ratio means was done by contrast test with Fisher's protected LSD test when the effect of dilution rate or F:C ratio (P ≤ 0.10) was detected by the model. The level of significance accepted was P ≤ 0.05 and 0.10 for trend.

      Results

      Total VFA concentrations (millimolar) and molar percentages of individual VFA are reported in Table 1. Increasing the dilution rate reduced (P < 0.01) the concentration of total VFA. Molar proportion of acetate ranged from 49 to 56 and was not affected by dilution rate. Propionate remained unchanged (P > 0.10) when dilution rate increased from 3.2 to 6.3%/h but tended to decrease (P < 0.07) at 12.5%/h. The acetate-to-propionate (A:P) ratio increased (P < 0.01) with increasing the dilution rate from 3.2 or 6.3 to 12.5%/h. Increasing the proportion of concentrate in the diet decreased (P < 0.01) the molar proportion of acetate. Molar proportions of propionate were lowest for the HF diet and increased (P < 0.03) for the MF and LF diets. Molar proportions of valerate were similar for the HF and MF diets but increased for the LF diet. The A:P ratio was highest for the HF diet and decreased (P < 0.01) for the MF and LF diets.
      Table 1Concentration and production of VFA as affected by dilution rate (DR) and forage-to-concentrate ratio (F:C).
      HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      VFADR, %/h
      3.26.312.5Significance of effect
      HFMFLFHFMFLFHFMFLFSEDRF:CDR × F:C
      DR×F:C = Interaction between dilution rate and F:C ratio.
      Total, mM97.7100.4104.056.963.259.527.325.729.62.690.01NS4NS
      Individual, mol/100 mol
       Acetate (A)53.052.750.054.948.644.660.654.449.92.07NS0.01NS
       Propionate (P)28.929.829.426.131.235.518.725.222.41.640.070.03NS
       Butyrate12.011.514.112.112.511.815.511.920.80.380.020.010.01
       Valerate3.95.05.52.93.13.71.81.72.40.260.010.01NS
       Isobutyrate0.30.30.30.90.90.80.70.41.00.130.01NSNS
       Isovalerate2.00.90.93.23.93.83.06.53.70.310.010.010.01
       A:P ratio1.91.81.82.21.61.33.32.32.30.200.010.01NS
      Total,
      Production parameters are based on 1L of ruminal cultures.
      mmol/d
      51.853.255.159.866.362.557.354.062.33.19NS
      NS = Not significant (P>0.10).
      NSNS
      Individual,
      Production parameters are based on 1L of ruminal cultures.
      mmol/d
       Acetate27.527.927.432.931.927.834.730.031.52.11NSNSNS
       Propionate14.916.016.415.620.922.210.713.313.81.21NS0.02NS
       Butyrate6.26.17.77.28.47.48.86.312.80.69NS0.010.02
       Valerate2.02.73.01.72.12.31.00.91.50.210.010.02NS
       Isobutyrate0.20.20.20.50.60.50.40.30.60.05NSNS0.03
       Isovalerate1.10.50.51.92.62.41.73.42.30.130.010.010.01
      1 HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      2 DR × F:C = Interaction between dilution rate and F:C ratio.
      3 Production parameters are based on 1 L of ruminal cultures.
      4 NS = Not significant (P > 0.10).
      There were dilution rate × F:C interactions for molar percentages of butyrate and isovalerate. At 3.2%/h, butyrate proportion was highest in the LF diet and similar between the MF and HF diets. When dilution rate was increased to 6.3%/h, there was no difference in butyrate concentration between F:C ratios. At a dilution rate of 12.5%/h, molar proportions of butyrate were highest for the LF diet and lowest for the MF diet with the HF diet being intermediate. Molar proportions of isovalerate were higher in the HF diet when compared with either the MF or LF diets at a dilution rate of 3.2%/h. At a dilution rate of 6.3%/h, isovalerate was numerically higher for both the MF and LF diets. Increasing the dilution rate to 12.5%/h increased isovalerate in ruminal cultures receiving MF and was higher compared with both the HF and LF diets.
      Daily production of total VFA (mmol/d) was not affected by dilution rate or F:C ratio (Table 1). The rate of production of acetate and propionate did not change as a result of changing the dilution rate. Increasing dilution rate decreased (P < 0.01) the production of valerate, which was consistent with lower concentrations in ruminal cultures. There were interactions for butyrate, isobutyrate, and isovalerate. Daily output of butyrate followed the same trend as the molar proportions of butyrate in the cultures. The LF diet resulted in the highest production of butyrate at dilution rates of 3.2 and 12.5%/h. The MF and HF diets were similar at 3.2 and 6.3%/h, but increasing dilution rate to 12.5%/h increased butyrate production in cultures receiving HF compared with the MF diet. Daily output of isobutyrate was very low across all F:C ratios at dilution rate of 3.2%/h. Increasing dilution rate to 6.3%/h increased isobutyrate production for all F:C treatments; the increase was greater for cultures receiving the MF diet. At dilution rate of 12.5%/h, rate of isobutyrate production increased even further for the LF diet and decreased for both the MF and HF diets. The effect of dilution rate and F:C ratio on the rate of isovalerate production was similar to changes observed in molar proportions.
      Data for pH, NH3-N, and gas production (CO2 and CH4) are summarized in Table 2. Ruminal culture pH did not change (P > 0.10) when dilution rates were increased from 3.2 to 6.3%/h (5.08 and 5.55, respectively). Increasing dilution rate to 12.5%/h tended to increase (P < 0.08) culture pH, which averaged 6.40. Concentration of NH3-N was highest at 6.3%/h and lowest at 3.2%/h, with 12.5%/h being intermediate. There were no effects of F:C on pH and concentration of NH3-N. There was a tendency for dilution rate × F:C interaction for the daily output (g/d) of NH3-N (P < 0.07). Increasing the dilution rate resulted in an increase in the production of NH3-N. At 3.2 and 6.3%/h, F:C ratio did not seem to affect ammonia production, but increasing dilution rate to 12.5%/h increased ammonia output for the LF diet compared with the MF and HF diets.
      Table 2Ruminal pH, ammonia-N (NH3-N), and methane (CH4) production as affected by dilution rate (DR) and forage-to-concentrate ratio (F:C).
      HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      Item
      Production parameters are based on 1L of ruminal cultures.
      DR, %/h
      3.26.312.5Significance of effect
      HFMFLFHFMFLFHFMFLFSEDRF:CDR × F:C
      DR×F:C = Interaction between dilution rate and F:C ratio.
      pH5.35.05.05.75.55.66.76.36.30.200.08NS
      NS = Not significant (P>0.10).
      NS
      NH3-N, mg/dl15.614.712.127.331.125.518.219.521.91.540.01NSNS
      NH3-N,
      NH3-N (g/d) = (NH3-N concentration, mg/dl×fermentor volume (700ml)×turnover rate of fermentor)/1,000. Turnover rate of fermentor is 0.8, 1.5, and 3.0 for 3.2, 6.3, and 12.5%/h, respectively.
      g/d
      0.090.080.060.290.330.270.380.410.460.0160.01NS0.07
      Gas estimated,
      Fermentative CO2 + fermentative CH4 + buffering CO2. All gas productions were estimated.
      mmol/d
      88.589.4104.2102.8109.799.9106.592.1115.27.21NSNSNS
      CH4 estimated,
      (Acetate, mmol/d) + (2×butyrate, mmol/d)−(CO2, mmol/d).
      mmol/d
      13.113.113.416.114.912.119.114.818.71.39NSNSNS
      CH4 measured
       mmol/d9.66.14.225.519.611.229.120.122.01.150.010.010.02
       mmol/g DM fed0.80.50.32.01.50.92.31.61.70.100.010.010.04
      1 HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      2 Production parameters are based on 1 L of ruminal cultures.
      3 DR × F:C = Interaction between dilution rate and F:C ratio.
      4 NS = Not significant (P > 0.10).
      5 NH3-N (g/d) = (NH3-N concentration, mg/dl × fermentor volume (700 ml) × turnover rate of fermentor)/1,000. Turnover rate of fermentor is 0.8, 1.5, and 3.0 for 3.2, 6.3, and 12.5%/h, respectively.
      6 Fermentative CO2 + fermentative CH4 + buffering CO2. All gas productions were estimated.
      7 (Acetate, mmol/d) + (2 × butyrate, mmol/d) − (CO2, mmol/d).
      There was no effect of either dilution rate or F:C ratio on methane production (mmol/d) that was calculated from stoichiometric equations (Table 2). Based on actual measurements, however, there was an interaction for methane output. At each dilution rate, methane output was highest for the HF diet (Table 2). At dilution rate of 3.2%/h, methane output was similar for the MF and LF diets, but, at 6.3%/h, cultures receiving the MF diet had higher amounts of daily methane production compared with those receiving the LF diet. Increasing the dilution rate to 12.5%/h did not increase methane output for the MF diet, but there was a substantial increase for the LF diet, which was numerically higher compared with the MF diet. When expressed as mmol of methane produced per gram of DM fed, the effects of dilution rate and F:C were similar to the total daily production rates described above.
      The amount of substrate used for gas (CH4 + direct and indirect CO2) was not affected (P > 0.10) by either dilution rate or F:C (Table 3). The amount of substrate used for microbial biomass was 1.07 g/d at the lowest dilution rate and increased (P < 0.01) to 1.83 and 2.46 g/d at dilution rate of 6.3 and 12.5%/h, respectively (Table 3). Based on the substrate used for VFA, gas, and microbial biomass, total diet fermentability was similar (P > 0.10) at dilution rates of 6.3 and 12.5%/h (61.6 and 65.9%) but decreased (P < 0.04) when dilution rate was decreased to 3.2%/h (51.2%). The F:C ratios did not affect (P > 0.10) total diet fermentability.
      Table 3Amount of substrate used for fermentation end products and microbial growth as affected by dilution rate (DR) and forage-to-concentrate ratio (F:C).
      HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      ItemDR, %/h
      3.26.312.5Significance of effect
      HFMFLFHFMFLFHFMFLFSEDRF:CDR × F:C
      DR×F:C = Interaction between dilution rate and F:C ratio.
      DM fed, g/d12.812.913.012.812.913.012.812.913.0
      Substrate used, g/d
       For VFA
      (Acetate, mol/d×60.05) + (Propionate, mol/d×74.08) + (butyrate, mol/d×88.10).
      3.33.44.23.84.24.03.73.34.00.29NS
      NS = Not significant (P>0.10).
      NSNS
       For gas
      Substrate used for (CO2, mol/d×44) + (CH4, mol/d×16) + (2H2O, mol/d×36).
      1.91.82.02.22.32.02.52.02.70.160.02NSNS
       For microbial biomass
      Substrate used for microbial biomass = ATP (mmol)×YATP (7.5, 11.6, and 16.7mg for 3.2, 6.3, and 12.5%/h, respectively).
      1.01.01.21.71.91.82.52.22.70.130.01NSNS
       Total
      Substrate used for VFA, CO2 + CH4 + 2H2O, and microbial biomass.
      6.16.27.57.78.47.78.67.69.40.560.03NSNS
      Fermentability, %
      Total substrate fermented expressed as a percentage of DM fed.
      48.048.457.360.265.059.666.958.672.34.300.03NSNS
      Microbial synthesis
       g/d
      Microbial biomass (g/d) = (((0.8×YATP ((2×Acetate, mmol/d) + (3×propionate, mmol/d) + (3×butyrate, mmol/d) + (CH4, mmol/d))))/1000). YATP is 7.5, 11.6, and 16.7mg for 3.2, 6.3, and 12.5%/h, respectively.
      0.790.810.981.391.541.451.961.782.160.1040.01NSNS
       g DM/kg DM fermented
      Microbial growth efficiency (g DM/kg DM fermented) = ((microbial biomass, g/DM fermented, g)×1000).
      132.7133.5136.4189.2193.0196.6243.4250.8243.91.410.010.020.05
      1 HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      2 DR × F:C = Interaction between dilution rate and F:C ratio.
      3 NS = Not significant (P > 0.10).
      4 (Acetate, mol/d × 60.05) + (Propionate, mol/d × 74.08) + (butyrate, mol/d × 88.10).
      5 Substrate used for (CO2, mol/d × 44) + (CH4, mol/d × 16) + (2H2O, mol/d × 36).
      6 Substrate used for microbial biomass = ATP (mmol) × YATP (7.5, 11.6, and 16.7 mg for 3.2, 6.3, and 12.5%/h, respectively).
      7 Substrate used for VFA, CO2 + CH4 + 2H2O, and microbial biomass.
      8 Total substrate fermented expressed as a percentage of DM fed.
      9 Microbial biomass (g/d) = (((0.8 × YATP ((2 × Acetate, mmol/d) + (3 × propionate, mmol/d) + (3 × butyrate, mmol/d) + (CH4, mmol/d))))/1000). YATP is 7.5, 11.6, and 16.7 mg for 3.2, 6.3, and 12.5%/h, respectively.
      10 Microbial growth efficiency (g DM/kg DM fermented) = ((microbial biomass, g/DM fermented, g) × 1000).
      Microbial yields increased (P < 0.01) with increasing dilution rate and averaged 0.86, 1.46, and 1.97 g/d at dilution rates of 3.2, 6.3, and 12.5%/h, respectively (Table 3). Increasing the proportion of concentrate in the diet did not affect microbial yield (P > 0.10) but improved (P < 0.02) microbial growth efficiency (Table 3). There was an interaction between dilution rate and F:C for microbial efficiency. At a dilution rate of 6.3%/h, microbial growth efficiency in cultures receiving LF diet was numerically higher than cultures receiving MF diet, but increasing dilution rate to 12.5%/h resulted in numerically higher efficiency of microbial growth in fermentors receiving MF diet compared with those receiving the LF diet.
      The amount of energy produced daily in the form of VFA and as a percentage of digestible energy fed was not affected by dilution rate (Table 4). A higher proportion of concentrate tended to increase (P < 0.08) the amount of energy (kcal/d) captured in VFA due primarily to the increased digestible energy fed. The VFA energy as a percentage of digestible energy fed was not affected by F:C ratio. There was an interaction for the amount of energy released in CH4 (P < 0.01). At dilution rates of 3.2 and 6.3%/h, cultures receiving the LF diet had the lowest rate of methane production; however, increasing dilution rate to 12.5%/h resulted in the MF diet having the lowest methane output.
      Table 4Amount of digestible energy (DE) partitioned into VFA and methane (CH4) obtained by actual measurement as affected by dilution rate (DR) and forage-to-concentrate ratio (F:C).
      HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      ItemDR, %/h
      3.26.312.5Significance of effect
      HFMFLFHFMFLFHFMFLFSEDRF:CDR × F:C
      DR×F:C = Interaction between dilution rate and F:C ratio.
      DE fed, kcal/d38.141.244.438.141.244.438.141.244.4
      VFA
       kcal/d
      (Acetate, mol/d×209.4 kcal/mol) + (propionate, mol/d×367.2 kcal/mol) + (butyrate, mol/d×524.3 kcal/mol) + (valerate, mol/d×681.6 kcal/mol) + (isobutyrate, mol/d×524.3 kcal/mol) + (isovalerate, mol/d×681.6 kcal/mol).
      16.617.118.319.222.221.317.917.521.21.04NS
      NS = Not significant (P>0.10).
      0.08NS
       % of DE43.641.641.150.353.947.846.942.547.82.47NSNSNS
      CH4
       kcal/d
      CH4 (kcal/d) = (CH4, mol/d×210.8 kcal/mol).
      2.01.30.95.44.12.46.24.24.70.230.010.010.01
       % of DE5.33.22.014.110.05.316.110.310.50.560.010.010.01
      1 HF = High forage (70% forage:30% concentrate); MF = medium forage (50% forage:50% concentrate); LF = low forage (30% forage:70% concentrate).
      2 DR × F:C = Interaction between dilution rate and F:C ratio.
      3 NS = Not significant (P > 0.10).
      4 (Acetate, mol/d × 209.4 kcal/mol) + (propionate, mol/d × 367.2 kcal/mol) + (butyrate, mol/d × 524.3 kcal/mol) + (valerate, mol/d × 681.6 kcal/mol) + (isobutyrate, mol/d × 524.3 kcal/mol) + (isovalerate, mol/d × 681.6 kcal/mol).
      5 CH4 (kcal/d) = (CH4, mol/d × 210.8 kcal/mol).

      Discussion

      Altering liquid turnover rates had no effect on daily production of total VFA or in the proportion and production of acetate by ruminal cultures. These results are similar to those reported by
      • Isaacson H.R.
      • Hinds F.C.
      • Bryant M.P.
      • Owens F.C.
      Efficiency of energy utilization by mixed rumen bacteria in continuous culture.
      and
      • Hoover W.H.
      • Kincaid C.R.
      • Varga G.A.
      • Thayne W.V.
      • Junkins Jr, L.L.
      Effects of solids and liquid flows on fermentation in continuous cultures. IV. pH and dilution rate.
      . Molar proportion of propionate tended to decrease and that of butyrate increased with an increase in dilution rate, but production of both fatty acids remained unchanged. Ruminal pH and ruminal methane output increased with increasing dilution rate. The effect of dilution rate on VFA production and fermentation profile in other studies has been variable. Total organic acid production decreased (
      • Carro M.D.
      • Lebzien P.
      • Rohr K.
      Effects of pore size of nylon bags and dilution rate on fermentation parameters in a semi-continuous artificial rumen.
      ) or increased (
      • Fuchigami M.
      • Senshu T.
      • Horiguchi M.
      A simple continuous culture system for rumen microbial digestion study and effects of defaunation and dilution rates.
      ) when fractional dilution rates increased. Molar percentages of propionate in ruminal fluid were reported to be higher (
      • Isaacson H.R.
      • Hinds F.C.
      • Bryant M.P.
      • Owens F.C.
      Efficiency of energy utilization by mixed rumen bacteria in continuous culture.
      ;
      • Hoover W.H.
      • Kincaid C.R.
      • Varga G.A.
      • Thayne W.V.
      • Junkins Jr, L.L.
      Effects of solids and liquid flows on fermentation in continuous cultures. IV. pH and dilution rate.
      ) or lower (
      • Thomson D.J.
      • Beever D.E.
      • Latham M.J.
      • Sharpe M.E.
      • Terry R.A.
      The effect of inclusion of mineral salts in the diet on dilution rate, the pattern of rumen fermentation and the composition of the rumen microflora.
      ;
      • Crawford Jr., R.J.
      • Hoover W.H.
      • Knowlton P.H.
      Effects of solids and liquid flows on fermentation in continuous cultures. I Dry matter and fiber digestion.VFA production and protozoa numbers.
      ) as a result of increasing dilution rates.
      In the present study, dilution rate had a significant effect on the isoacids. Rapid liquid turnover lowered the proportion of ruminal valerate but increased that of the branched chain isoacids, isobutyrate, and isovalerate. Part of the valerate produced in the rumen comes from the fermentation of carbohydrates and part comes from the fermentation of AA. The branched-chain isoacids arise almost exclusively from the oxidative deamination of AA. The inability of the cellulolytic bacteria to transport preformed branched chain AA across their cell wall makes the branched chain isoacids essential for normal growth of fiber-digesting bacteria (
      • Bryant M.P.
      Nutritional requirements of the predominant rumen cellulolytic bacteria.
      ). The decrease in valerate may be due to reduced retention time of the fermentable carbohydrates at higher liquid passage rates. An increase in branched-chain isoacids suggests enhanced deaminative activity at higher dilution rates, since a reduced uptake should have resulted in a lower acetate production.
      Increasing liquid turnover increased NH3-N output. Ammonia-N concentration, similar to the isoacids, is a function of the rate of release and rate of uptake by microbial populations. Ruminal pH can also influence NH3-N production (

      Erfle, J. D., R. J. Boila, R. M. Teather, S. Mahadevan, and F. D. Sauer. 1982. Effect of pH on fermentation characteristics and protein degradation by rumen microorganisms in vitro. 65:1457-1464.

      ), and increasing dilution rates increased NH3-N with a concomitant increase in culture pH similar to results reported earlier (
      • Hoover W.H.
      • Kincaid C.R.
      • Varga G.A.
      • Thayne W.V.
      • Junkins Jr, L.L.
      Effects of solids and liquid flows on fermentation in continuous cultures. IV. pH and dilution rate.
      ). Ammonia-N and branched-chain isoacids increased at higher dilution rates, suggesting either enhanced rate of production or reduced utilization. Both are used predominantly by cellulolytic organisms and, since acetate production was not affected, higher liquid dilution rates seem to have enhanced rates of production rather than reduced rates of utilization.
      Similar values for DM digestibility have been reported earlier with no effect on dilution rate (
      • Hoover W.H.
      • Kincaid C.R.
      • Varga G.A.
      • Thayne W.V.
      • Junkins Jr, L.L.
      Effects of solids and liquid flows on fermentation in continuous cultures. IV. pH and dilution rate.
      ;
      • Carro M.D.
      • Lebzien P.
      • Rohr K.
      Effects of pore size of nylon bags and dilution rate on fermentation parameters in a semi-continuous artificial rumen.
      ). In the study by
      • Hoover W.H.
      • Kincaid C.R.
      • Varga G.A.
      • Thayne W.V.
      • Junkins Jr, L.L.
      Effects of solids and liquid flows on fermentation in continuous cultures. IV. pH and dilution rate.
      , increasing dilution rates did not seem to reduce NDF digestibility or the digestibility of the more rapidly fermentable carbohydrate fraction. In fact, in some cases, increasing dilution rate seemed to increase cellulose and NDF digestibility (
      • Hoover W.H.
      • Kincaid C.R.
      • Varga G.A.
      • Thayne W.V.
      • Junkins Jr, L.L.
      Effects of solids and liquid flows on fermentation in continuous cultures. IV. pH and dilution rate.
      ).
      Increasing dilution rate did not affect total organic acid production, but actual methane output increased. In contrast, lowering F:C ratio reduced methane production and increased ruminal propionate as has been documented in several studies. Increasing dilution rates did not affect the amount of substrate used for VFA production but increased the amount used for gas and microbial biomass. Actual methane production increased significantly at each successive increase in dilution rate, but the proportion of substrate used for total gas output (CH4 + CO2) increased only when dilution rates were increased from 3.2 to 12.5%/h. The growth rate of methanogens is relatively slow, which results in reduced numbers during rapid rates of transit from the rumen (
      • Wolin M.J.
      • Miller T.L.
      • Stewart C.S.
      Microbe-microbe interactions.
      ). The highest dilution rate in our study (12.5%/h) did not seem to have a negative impact on methane production. Calculated microbial yields and efficiencies increased with an increase in turnover rate suggesting that, at higher turnover rates, a greater proportion of substrate energy is used for bacterial synthesis (
      • Hespell R.B.
      • Bryant M.P.
      Efficiency of rumen microbial growth: Influence of some theoretical and experimental factors on YATP.
      ).
      According to
      • Wolin M.J.
      A theoretical rumen fermentation balance.
      , the amount of total gas produced (CH4 + CO2) can be determined from the amount and molar proportion of acetate, propionate, and butyrate. Hence, based on the stoichiometric equation, variations in the molar proportion of acetate, propionate, and butyrate will have a direct influence on gas volumes.
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      reported that the total substrate required for the production of equal amounts of gas from widely different VFA patterns was very similar. Accounting for the efficiency of ATP use by microbial populations, the amount of substrate required for microbial biomass can vary without changes in VFA proportions (
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      ). It is known that the growth yields of ruminal microbes can be relatively high, and that microbial cells have a negative oxidation-reduction state (
      • Van Kessel J.S.
      • Russell J.B.
      The effect of pH on ruminal methanogenesis.
      ). Since stoichiometric equations used to estimate fermentation balance do not consider microbial cells as end products of ruminal fermentation, cell yields can have a significant impact on estimates of methane production.
      The Cornell Net Carbohydrate and Protein System suggests a maximum incorporation of 40% of the fermented feed carbohydrate into microbial biomass (
      • Russell J.B.
      • O’Connor J.D.
      • Fox D.G.
      • Van Soest P.J.
      • Sniffen C.J.
      A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation.
      ). With substrates consisting predominantly of structural carbohydrates, microbial biomass yield was negatively correlated to gas production over a 24-h period of incubation (
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      ). In another study (
      • Krishnamoorthy U.
      • Steingass H.
      • Menke K.H.
      Preliminary observations on the relationship between gas production and microbial synthesis in vitro.
      ), a curvilinear relationship was reported over a 2-h period between microbial protein synthesis and gas production. The curvature varied with the type of substrate, with cellulose producing a steep upward curve and starch producing a less steep curve. The relationship between microbial mass and gas volume is complex and can vary with the type of substrate as well as with the time of sampling.
      In previous experiments, no distinction was made between CO2 and CH4, and it is assumed that the latter arises directly from the former. As per the stoichiometric equations outlined previously (
      • Wolin M.J.
      A theoretical rumen fermentation balance.
      ;
      • Blümmel M.
      • Makkar H.P.S.
      • Becker K.
      In vitro gas production: A technique revisited.
      ), we included both the direct CO2 production from the fermentative route as well as the indirect contribution from the reaction of the VFA with the bicarbonate supplied in the saliva in estimating total gas production. Total gas production was not affected by the F:C ratio and dilution rates in the present study. Methane production, when estimated using stoichiometric equations, was also not altered by either the dilution rates or F:C ratio. However, actual measurements of methane production decreased significantly with an increase in the level of concentrate and increased with an increase in dilution rate. The decrease in methane in cultures receiving a higher proportion of concentrate is consistent with the shift in reducing equivalents toward propionate formation. However, the increased methane formation at higher dilution rates was unexpected.
      Gas production and VFA formation are closely related processes, but gas production can vary without any change in total VFA production (
      • Beuvink J.M.W.
      • Spoelstra S.F.
      Interactions between substrate, fermentation end-products, buffering systems and gas production upon fermentation of different carbohydrates by mixed rumen microorganisms in vitro.
      ). The amount of gas released indirectly is assumed to be a constant; therefore, the variation is attributed primarily to gas produced directly as an end product of ruminal fermentation. Direct gas production varies with the pattern of VFA and, given the complex nature of mixed feedstuffs and fermentative pathways of microbial metabolism, it can vary considerably. Most species of rumen microbes are capable of fermenting various substrates resulting in similar end products (
      • Hungate R.E.
      Quantities of carbohydrate fermentation products.
      ), and some have switched end products depending on their growth rate (
      • Russell J.B.
      • Wallace R.J.
      Energy-yielding and energy-consuming reactions.
      ).
      Hydrogen and CO2 are the major precursors of CH4 formation in the rumen (
      • Hungate R.E.
      Hydrogen as an intermediate in the rumen fermentation.
      ), and most methanogens can utilize these substrates to generate ATP (
      • Thauer R.K.
      • Jungermann K.
      • Decker K.
      Energy conservation in chemotriphic anaerobic bacteria.
      ). The distribution of methanogenic species in the rumen is not known and whereas some species can occur in high concentration, others may be present in low concentration (
      • Wolin M.J.
      • Miller T.L.
      • Stewart C.S.
      Microbe-microbe interactions.
      ). Methanogens have a slower growth rate compared with other rumen bacteria, but there are some species, Methanobrevibacter spp. in particular, that will grow more rapidly with H2 than other methanogens (
      • Wolin M.J.
      • Miller T.L.
      • Stewart C.S.
      Microbe-microbe interactions.
      ). The success of microorganisms to survive depends on their ability to maximize growth rate or growth yield (
      • Neijssel O.M.
      • de Mattos M.J.T.
      The energetics of bacterial growth: a reassessment.
      ;
      • Russell J.B.
      • Wallace R.J.
      Energy-yielding and energy-consuming reactions.
      ). Culture of Methanobacter thermoautotrophicum did not grow when H2 supply was low, but they continued to produce methane. At higher availability of H2, growth of M. thermoautotrophicum occurred, but methanogenesis remained constant as long as growth was H2 limiting (
      • Morgan R.M.
      • Pihl T.D.
      • Nölling J.
      • Reeve J.N.
      Hydrogen regulation of growth, growth yields, and methane gene transcription in Methanobacterium thermoautotrophicum Delta H.
      ). When H2 supply was not growth limiting, CH4 production increased rapidly (
      • Morgan R.M.
      • Pihl T.D.
      • Nölling J.
      • Reeve J.N.
      Hydrogen regulation of growth, growth yields, and methane gene transcription in Methanobacterium thermoautotrophicum Delta H.
      ). Changing dilution rates has a profound impact on the growth rate of bacteria and alters the metabolic pathways of fermentation. Given the complex interactions between microbial growth and fermentation environment, altering dilution rates could interfere with growth by changing the concentration and/or shifting the metabolic pathways by which specific microbes, including the methanogens, utilize substrates.

      Conclusions

      Methane production in continuous cultures was measured to determine whether it was altered by dilution rate and F:C ratio. Increasing dilution rate or the level of forage in the diet decreased propionate and increased methane output. Methane production estimated from stoichiometric equations remained unchanged, irrespective of the dilution rate or level of forage in the diet. Compared with actual measurements of methane concentration in fermentor headspace, stoichiometric estimations consistently underestimated methane output at higher dilution rates and with high forage diets. Methane production seems to be influenced by the stoichiometry of substrate fermentation to acetate and propionate as well as the proportion of substrate carbon fixed in microbial biomass.

      Acknowledgments

      The expertise offered by Sarah Jo McLeod for her assistance in the lab is gratefully acknowledged. The authors also appreciate the financial support provided by the Dairy Foundation of North Carolina.

      Supplementary data

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