The Effect of Sources of Rumen Fluid and Dissolved Oxygen Concentration on Rumen Fermentation Parameters, Methane Gas Emissions, and Microbiota Diversity Changes in Laboratory Conditions ()
1. Introduction
The effect of rumen fluid donors on in vitro rumen fermentation associated with microbiota is significant. Different rumen fluid donors and diets can influence the fermentation process, the resulting fermentation end products, and microbiome diversity [1]. Since in vivo measurement of nutrient digestion in the rumen requires ruminally cannulated animals, which are invasive, costly, labor-intensive, and prone to errors due to host-animal variation, alternative techniques have been developed. These include in vitro procedures for estimating ruminal fermentation and nutrient digestion of potential feeds or feed additives [2]-[4]. In vitro methods using rumen fluid from animals as an inoculum have been widely used for years to evaluate dietary feed ingredients [5] [6]. However, few studies have examined the effects of one or more donor steers on in vitro gas production, rumen fermentation profiles, changes in bacterial diversity, and greenhouse gas (GHG) emissions. Furthermore, research using rumen-fistulated animals has shown no significant differences between cannulated and non-cannulated cows in dry matter intake (DMI), volatile fatty acid (VFA) profiles, milk production, milk composition, or enteric methane (CH4) emissions. However, it was noted that the CH4 yield and intensity decreased [7] [8], suggesting that trace levels of oxygen (<20 µM O2) may inhibit CH4 emissions by suppressing the viability of methanogens. Nonetheless, no in vitro or in vivo studies have confirmed this hypothesis. Therefore, we hypothesize that using an elevated dissolved O2-water supply during in vitro fermentation could inhibit and alter methanogenesis and alter the bacterial community.
Collecting rumen liquor from multiple donor animals is common for in vitro studies [9] [10]; however, to our knowledge, no studies have directly examined how one or more donor steers, about dissolved oxygen (O2) levels in the rumen fluid (RF), affect in vitro rumen fermentation profiles, gas production, changes in rumen bacteria, and greenhouse gas (GHG) emissions. Although it is well established that rumen microbes are strictly anaerobic, and only particular species can survive for some time when exposed to more than a few parts per million (ppm) of O2 [11], specific information on how dissolved O2 levels in the rumen liquor influence ruminal dry matter (DM) digestibility (DMD), GHG emissions [CH4, nitrous oxide (N2O)], and microbial dynamics during in vitro incubation appears to be lacking. Additionally, while the O2 sensitivity of methanogen growth is well known [12] [13], the presence of O2 and its impact on methanogenesis in rumen liquor have been overlooked, and no published data exist on attempts to measure its concentration.
It has been suggested that O2 may enter the rumen with food, saliva, or by diffusion from the blood [14]. Typically, a small proportion of O2 (0.5% - 6.5% by volume) is found in rumen gases [15] [16]. The rumen contains facultatively anaerobic bacteria that can tolerate or utilize O2 [11]. For example, coliform bacteria, which are facultative anaerobes, have been isolated from the rumen [17]. It has been reported that methanogenesis and growth of methanogens (Methanococcus voltae, M. vannielii, Methanosarcina, and Methanobacterium ruminantium) were inhibited after short-term (10 min) exposure to O2 (up to 5 KPa O2) [12] [18] [19]. However, recent research shows that some methanogens, such as M. bryantii, are O2-stable and can survive exposure to air for several hours or more without losing viability [20]. Typically, up to 500 nmol/L O2 has been found in the rumen of cows, sheep, and goats [16]. An O2-affinity study [13] reported that rumen ciliates like Polyplastron multivesiculatum and Eudiplodinium maggii could tolerate O2 concentrations of up to 5 to 10 µM, with apparent half-saturation constants (Km values) of 1.0, 1.7, and 5.2 µM O2, respectively. Rumen ciliate species such as Dasytricha ruminantium and Isotricha prosoma, along with rumen fungus Neocallimastix patriciarum, also possess hydrogenosomes related to O2 utilization [21]-[24]. However, exposure to liquid-phase O2 concentrations above 10 µM causes rapid inactivation of respiration, and an excess of 14 µM leads to 50% inhibition of H2 production in the hydrogenosome-containing rumen fungus Neocallimastix patriciarum [24]. Some rumen bacteria, such as Bacteroides ruminicola, contain CO2-binding cytochromes, and O2-consuming substrates have been isolated from rumen microorganisms, such as Butyrivibrio fibrisolvens. The current study aims to evaluate: 1) the potential effects of a single or pooled ruminal inoculum and dissolved oxygen (O2) concentrations on gas production and GHG emissions over a 24-hour incubation, and 2) how various levels of dissolved O2 and different dietary contrasts influence in vitro digestibility, CH4 and other gas emissions, fermentation rate, and microbial changes.
2. Materials and Methods
The experiment was conducted at the Caprine Research and Education Unit at Tuskegee University. The Tuskegee University Animal Care and Use Committee approved the animal care, handling, and sampling procedures for this experiment (#T02-2002-1).
2.1. Experimental Design
Two sets of in vitro experiments were conducted. An initial study evaluated the effects of individual or equally pooled rumen liquors and dissolved oxygen (O2) concentration on ruminal pH, gas production, CH4 production, and changes in microbiota. The second objective involved experiments to assess the effects of various levels of dissolved O2 concentration [control (0 ppm), 0.1 ppm, and 0.2 ppm], and two contrast diets (grain-based vs. forage-based diets) on the in vitro digestibility, CH4 and other gas emissions, rumen fermentation rate, and microbial changes.
2.2. Rumen Fluid Donor Animals
This experiment was conducted to compare the utility of using ruminal populations collected separately from six individual steers with that of a mixture prepared from those six steers. Six individual rumen-cannulated steers were selected as donors (2 years of age, Black Angus; Bos taurus) based on similar body weight (BW; 795.0 ± 23.76 kg). Rumen fluid was collected from each of the six steers 2 h after feeding. Animals had been receiving a total mixed ration (TMR) diet based on steam-flaked corn (52%), WDGS (20%), wet corn gluten (10%), cottonseed meal (10%), chopped corn stalks (7%), and mineral and vitamin premix (1%).
Ruminal contents from individual steers were placed into pre-warmed insulated thermal bottles, transported to the laboratory, homogenized, filtered through 4 layers of cheesecloth, and used as an in vitro inoculum. Once filtered, an equal volume of each liquor collected was sampled and equally pooled with the others to obtain the seventh treatment (e.g., pooled rumen fluid). Rumen fluid was maintained in a water bath at 39˚C under CO2-saturated conditions until inoculation. The duplicated anaerobic condition was maintained by continuously flushing the bottle headspace with CO2.
2.3. In Vitro Experiment
All gases were collected using an ANKOM Gas Production system for analyses of CH4, nitrous oxide (N2O), and hydrogen sulfide (H2S). For in vitro incubations, substrates of mixed diets containing steam-flaked corn (62.5%), WDGS (30%), cotton-seed meal (7.0%), and urea (0.5% as-fed) were placed in 250 mL ANKOM (ANKOM Technology Corp. Macedon, NY) sample bottles containing 6.0 g of substrate, 50 mL of the individual or pooled ruminal fluid (pH 5.8) and either 40 mL artificial saliva (pH 6.8, as fed) or 40 mL of different levels of dissolved O2-contained artificial saliva for 24 h incubation (pH 6.8); [25] [26]. It has been reported that over the range of substrate concentrations (0.2 - 2.0 g/100mL buffer solution) used, the quantity of substrate added to the bottle had no significant effect on the lag time and fractional rates of gas production, except the total amount of gas production [27].
2.3.1. Experiment 1
A set of in vitro incubations was conducted to evaluate the effects of individual or equally pooled rumen liquors and dissolved oxygen (O2) concentration on ruminal pH, gas production, CH4 production, and changes in microbiota. For in vitro incubations, 2.5 g of feedlot ration diets (% as-fed; Table 1) were placed in 250 mL ANKOM (ANKOM Technology Corp. Macedon, NY) sample bottles containing either 40 mL of pooled ruminal fluid (pH 5.61) and or 40 mL of individually collected rumen fluid incubated with 160 mL artificial saliva (pH 6.8; Min et al., 2005). Each incubation was done in three replications. The bottle was flushed with CO2 gas before being capped with an ANKOM Gas Production module. Dissolved oxygen (O2) concentration was measured before the experiment commenced (Day 0) and after completion (Day 30). An initial ruminal pH was measured prior to the start of rumen incubation. Bottles were flushed with CO2 gas before being capped with an ANKOM Gas Production module. One-liter FlexFoil PLUS sample bags (SKC Inc., Eighty-Four, PA) were connected to the modules. Bottles were placed in a shaking incubator at 39˚C—bottles containing only inoculum and buffer served as blanks.
Table 1. Ingredients and nutrient composition (% DM) of the experimental diets tested in vitro.
Item1 |
Diet (% as-is) |
|
|
SFC |
Alfalfa |
Grain-based |
Forage-based |
SEM |
Ingredients |
|
|
|
|
|
Steam-flacked corn |
- |
- |
65.0 |
19.0 |
|
WDGS |
- |
- |
10.0 |
10.0 |
|
Cottonseed meal |
- |
- |
5.5 |
5.5 |
|
Alfalfa, ground |
- |
- |
19.0 |
65.0 |
|
Urea |
- |
- |
0.5 |
0.5 |
|
Chemical composition |
|
|
|
|
|
DM |
90.3 |
91.0 |
94.9 |
94.6 |
0.04 |
CP |
9.6 |
24.4 |
17.2 |
18.9 |
0.81 |
ADF |
3.9 |
29.7 |
7.2 |
21.1 |
0.82 |
NDF |
9.2 |
37.3 |
15.2 |
35.3 |
2.27 |
Lignin |
1.4 |
6.8 |
2.7 |
11.1 |
0.25 |
NFC |
76.7 |
23.0 |
48.6 |
24.5 |
0.11 |
Starch |
76.0 |
0.7 |
31.4 |
10.1 |
0.33 |
CF |
3.2 |
2.2 |
4.7 |
4.6 |
0.25 |
Ash |
1.5 |
13.2 |
14.3 |
16.7 |
0.28 |
TDN |
71.7 |
59.0 |
69.0 |
59.9 |
1.68 |
SFC = steam-flacked corn, WDGS = wet distiller’s grains, soluble, DM = dry matter, CP = crude protein, ADF = acid detergent fiber, NDF = neutral detergent fiber, NFC = non-fiber carbohydrate (100-CP-NDF-CF-ash), CF = crude fat, TDN = total digestible nutrient [86.2 − (0.513 × % NDF) × 0.88].
After 24 hours of incubation, two 1.0 mL samples were taken from each sample bag for gas analysis. Gas sample bags were closed and separated from the module, and gas concentrations (CH4 and N2O) were then determined using an SRI gas chromatograph equipped with a mechanized electron capture detector (ECD) and flame ionization detector (FID) (SRI Instruments, Torrance, CA). Analyzers were calibrated with GHG gases of known concentrations. Hydrogen sulfide (H2S) production was measured with a gas monitor (GX2012 model, RIKIN KEIKI Co., Ltd., Tokyo, Japan). Specific gas concentrations were plotted against total gas production to estimate total gas emission per hour or gas produced on a DM basis.
2.3.2. Experiment 2
The second part of the experiment (Exp. 2) focused on assessing how different levels of dissolved oxygen (O2) and different diets (grain-based versus forage-based) influence in vitro digestibility (IVDMD), methane (CH4) and other gas emissions, rumen fermentation, and microbial populations. Triplicate in vitro gas production and 16S pyrosequencing analyses were conducted. All other in vitro fermentation conditions were similar to those described in Exp. 1. Anaerobic conditions were maintained by continuous flushing of the bottle headspace with CO2.
For the different dissolved O2 concentration test, O2 gas was prepared as a premade stock solution with different dissolved O2 levels in a buffer solution, bubbled at 2.0 psi, and then added to each fermenter. The final dissolved O2 concentrations in the fermenters were set to 0.0 (control), 0.1 (3.13), and 0.2 (6.25) ppm (µM/L), respectively. Cumulative ruminal gas production was recorded every 30 min for 24 h [28] via the ANKOM system, which records pressure buildup in individual vessels. Cumulative ruminal gas productions were recorded for 24 h because ruminal CO2 and CH4 productions were generally produced with short intervals throughout 15 to 24 h after feeding (alfalfa hay and grain diets) [29].
2.4. Laboratory Analysis
Dairy One Forage Testing Laboratory (Ithaca, NY) analyzed the nutrient and mineral content of ingredients and dry matter. Analytical DM concentrations of diet samples were determined by oven-drying at 105˚C for 24 h [30] [31]. Ash, ether extract, and minerals were analyzed according to AOAC methods [30] [31]. Concentrations of N were determined using an organic elemental analyzer (Flash 2000; CE Elantech Inc., Lakewood, NJ, USA; AOAC, 1998). Concentrations of neutral detergent fiber (NDF) and acid detergent fiber (ADF) were sequentially determined using an ANKOM200/220 Fiber Analyzer (ANKOM Technology, Macedon, NY, USA) according to the company’s methodology, based on [32]. Sodium sulfite was used in the procedure for NDF determination and pre-treated with heat-stable amylase (Type XI-A from Bacillus subtilis; Sigma-Aldrich Corporation, St. Louis, MO, USA). Total digestible nutrient (TDN) concentrations were calculated based on % NDF content [TDN = 86.2 − (% NDF × 0.513) × 0.88]; [30]. The ether extract was measured [31] using a fat analyzer (XT20, ANKOM Technology).
Following 24 h of fermentation, 1 mL samples from each incubator were transferred into 5 mL Falcon tubes and stored at −80˚C for future volatile fatty acids (VFA) analysis. Fermentation products (alcohols, VFAs, and aromatic ring compounds) in frozen samples were analyzed by gas chromatography (Hewlett-Packard 6890, Agilent Technologies, Palo Alto, CA) as previously described [31]. L-Lactate was analyzed using an autoanalyzer (Model 2700, Yellow Springs Instrument, Yellow Springs, OH). Additionally, two 10 mL samples were collected from each sample bag for analysis. Gas sample bags were sealed and separated from the module. Then the gas concentrations of CH4 and N2O were determined using an SRI gas chromatograph equipped with an electron capture detector (ECD) and a flame ionization detector (FID) (SRI Instruments, Torrance, CA; Bucha et al., 2025). The analyzers were calibrated using a known gas concentration. Hydrogen sulfide (H2S) production was measured using a gas monitor (GX2012 model, RIKIN KEIKI Co. Ltd., Tokyo, Japan). Specific gas concentrations were plotted against total gas production to estimate overall gas emissions per hour or gas produced on a dry matter basis.
2.5. Genomic DNA Extraction and Quantitative PCR
Triplicate qPCR analyses were conducted to quantify the diversities of three major bacterial phyla: Bacteroidetes, Firmicutes, and total methanogens (Table 2). By necessity, this required an examination of bacterial phylum (as measured by Firmicutes and Bacteroidetes) and total methanogen changes associated with CH4 emission and digestibility. One mL aliquots of rumen fluid samples were centrifuged at 17,000× g for 1 min. According to the manufacturer’s protocol, DNA was extracted from 100 mg of the collected pellets using the Quick-DNA Fungal/Bacterial Miniprep Kit (ZymoResearch, Irvine, CA). DNA was quantified using the Quant-iT PicoGreen dsDNA Assay Kit (Invitrogen, Carlsbad, CA) using a Synergy 2 Microplate Reader (BioTek Instruments, Winooski, VT). Samples were diluted to a final concentration of 5 ng∙µL−1. Quantitative PCR was performed using primers specific to Firmicutes, Bacteroidetes, and total methanogens, as described by Min et al. [25].
Table 2. Primers were used for qPCR of rumen microorganisms in the current study.
Target |
Primer/probe name |
App. Size Product (bp) |
Annealing Temp. ˚C |
Reference |
Bacteroidetes |
|
|
|
|
Bact 934F |
GGARCATGTGGTTTAATTCGATGAT |
126 |
60 |
Guo et al., 2008 |
Bact 1060 R |
AGCTGACGACAACCATGCAG |
|
|
|
Firmicutes |
|
|
|
|
Firm 934R |
GGAGYATGTGGTTTAATTCGAAGCA |
160 |
60 |
Guo et al., 2008 |
Firm 1060R |
AGCTGACGACAACCATGCAC |
|
|
|
Total methanogens |
|
|
|
|
UniMet-1F |
CCGGAGATGGAACCTGAG AC |
160 |
60 |
Zhou et al., 2009 |
UniMet-1R |
CGGTCTTGCCCAGCTCTTATTC |
|
|
|
2.6. Data Analysis and Interpretation
The statistical model included the fixed effects of animal, dietary treatment, and their interaction. All the data in the Tables were analyzed by the GLM procedure of SAS (SAS Inst. Inc., Cary, NC) using the following statistical model:
Yijk = µ + Ti +Yj + TYij + eij
where Yijk = observation; µ = overall mean for each parameter; Ti = effect of diet; Yj = effect of host animal; TYij = interaction between treatments; and eij = random error, used to test diet, host animal (Exp. 1), and diet × dissolved O2 levels (Exp. 2) interactions. Animals were the experimental unit (Exp. 1) and were treated as a random effect. Treatment means were separated by the least significant differences when the diet × dissolved O2 levels interaction was significant (P < 0.05). Significance levels were predetermined at P < 0.05; trends were determined at 0.05 < P < 0.10.
3. Results and Discussion
Chemical Composition of Diets
The chemical composition of the dietary components and treatments is presented in Table 1. Of the primary ingredients used in this study, steam-flaked corn had higher starch contents (76.0% DM) than alfalfa hay (0.7% DM). However, steam-flaked corn had a lower NDF (9.2%) and ADF (3.9% DM) compared to alfalfa forage (37.3% and 29.7% DM, respectively). In grain-based diet, DM, CP, ADF, NDF, lignin, NFC, starch, and TDN contents were 94.9%, 17.2%, 7.2%, 15.2%, 2.7%, 48.6%, 31.4%, and 69.0% DM, while forage-based diets for DM, CP, ADF, NDF, lignin, NFC, starch, and TDN contents were 94.6%, 18.9%, 21.1%, 35.3%, 11.1%, 24.5%, 10.1%, and 59.9% DM, respectively (Table 1). Therefore, the nutrient contents of the experimental diets increased for CP, ADF, NDF, and lignin with increasing alfalfa inclusion in the forage-based diet. Across the experimental grain-based diets, NFC, starch, and TDN increased as steam-flaked corn content increased.
3.1. Experiment 1
Individual animal variations
The effect of single or multiple liquor-donor steers on rumen bacterial phylum, methanogens populations, and dissolved oxygen (O2) concentration is presented in Table 3.
The study by Brulc et al. [33] revealed significant differences in microbiome composition among different animals. The same authors reported that one steer had a markedly different microbiome composition from the other, despite similar housing and dietary conditions and without apparent differences in the animals’ physiology. These results are consistent with the present study. In the present study, the bacterial population of Firmicutes (23.3 × 10−8) and Bacteroidetes (19.5 × 10−8) phyla was greater for steer tag # 9 than for other steers’ rumen fluid. However, total methanogen archaea populations in the rumen were most heightened composition for steer tag # 18 (41.5 × 10−5), intermediate for steers # 19 (30.3 × 10−5) and # 7 (26.8 × 10−5), and lowest methanogens for steers # 6 (9.8 × 10), #9 (4.3), #13 (6.6), and mixed rumen fluid (13.4 × 10−5) when animals received the similar feedlot diets. Likewise, Durso et al. [34] reported significant animal-to-animal variation in microbial communities when typical feedlot diets were fed, variation that could not be attributed to breed, gender, diet, age, or weather among beef cattle. Several factors affect rumen microbial activity [35], including collection time [36] [37], donor animals, diet type [38], and the final dilution rate with buffer [39] [40]. As a result, the variation in the rumen microbiome due to inoculum source is ultimately attributed to variation in rumen gas production and rumen fermentation profiles. Therefore, collecting rumen inoculum from several animals is often recommended, and combining it can reduce variation [38].
Table 3. The effect of single or multiple liquor-donor steers on rumen bacterial phylum, methanogens populations, and dissolved oxygen (O2) concentration.
|
|
Source of rumen fluid (RF) |
|
|
|
Item |
Mixed RF |
Steer 6 |
Steer 7 |
Steer 9 |
Steer 13 |
Steer 18 |
Steer 19 |
SEM |
P-value |
Initial BW, kg |
- |
784.9 |
824.5 |
897.1 |
752.3 |
688.3 |
823.1 |
23.76 |
- |
Rumen bacterial phylum and total methanogens |
|
|
|
|
Firmicutes (F: 1 × 10−8) |
12.5b |
12.8b |
14.3b |
23.3a |
15.1b |
13.2b |
12.1b |
1.45 |
0.01 |
Bacteroidetes (F: 1 × 10−8) |
9.3b |
11.7b |
11.5b |
19.5a |
7.7c |
14.3b |
9.5b |
1.44 |
0.01 |
F/B ratio |
1.34ab |
1.09b |
1.24b |
1.19b |
1.96a |
0.92b |
1.27ab |
0.04 |
0.01 |
Total methanogen (1 × 10−5) |
13.4c |
9.8d |
26.8b |
4.3c |
6.6c |
41.5a |
30.3b |
1.34 |
0.001 |
Dissolved O2 concentration3 |
|
|
|
|
|
|
|
|
|
Day 0 ppm |
0.39cd |
0.25d |
0.54c |
0.63b |
0.85a |
0.34cd |
0.34cd |
0.039 |
0.01 |
µM/L |
12.19cd |
7.81d |
16.88c |
20.0b |
25.56a |
10.63cd |
10.63cd |
1.04 |
0.01 |
Day 30 ppm |
0.15 |
0.06c |
0.08c |
0.26b |
0.33b |
0.36ab |
0.54a |
0.030 |
0.01 |
µM/L |
4.69 |
1.88c |
2.50c |
8.13b |
10.31b |
11.25ab |
16.88a |
0.946 |
0.01 |
Average ppm |
0.27c |
0.16c |
0.31b |
0.45a |
0.59a |
0.35b |
0.44a |
0.024 |
0.01 |
µM/L |
8.44c |
4.85c |
9.69b |
14.07a |
17.93a |
10.94b |
13.76a |
0.790 |
0.01 |
a-dnumbers in a row with superscript letters are significantly different (P < 0.05).
Oxygen exists in the rumen of cattle, both in the liquid phase [12] and in the gas phase [41] [42]. Interestingly, concentrations of O2 and N2 in rumen gas increased during feeding, while concentrations of CO2 and CH4 decreased in cannulated sheep fed 100% hay and/or 20%:80% corn-flacked hay diets [41]. The present study showed that dissolved O2 concentrations in rumen liquors on day 0 were 0.25 (7.8), 0.54 (16.4), 0.15 (4.7), 0.63 (19.7), 0.85 (26.6), 0.34 (10.6), and 0.39 (12.2) ppm in cannulated steers #6, #7, #9, #13, #18, #19, and mixed rumen fluid (Table 3), respectively, which is similar to other data [16]. These results indicate that dissolved O2 concentrations in the rumen of cannulated steers were measured (on day 0 and day 30) and varied (SD = 0.21) among animals. It has been reported that a rumen cannula may permit outside air into the rumen headspace [43].
In addition, high levels of dissolved O2 concentration in the rumen fluid in steers # 9 and #13 on day 0 (Table 3) were relatively lower levels of the total methanogen population (4.3 and 6.6 × 10−5) compared to other lower O2-groups (9.8 to 41.5 × 10−5), indicating that short- or long-term exposures of O2 through rumen cannula could be inhibited methanogenesis activity [16]. These results are consistent with other data [16] [44]. Their research indicates that ruminal methanogenesis was totally and irreversibly inhibited after short-term exposure (about 10 min) to 5 KPa (37.5 mmHg or 0.05 atm) [12]. Previous studies have shown that CH4 production is dependent on dissolved O2 concentrations in ruminal fluid [12] [45] [46], reflecting the high sensitivity of methanogenic bacteria to O2. However, the protozoal and bacterial populations had equivalent rates of O2 utilization at both the lower detectable level of O2 within the rumen (0.25 µM) and at the concentration range attained immediately before feeding in sheep, goats, and cattle (1.0 to 7.0 µM; [13] [16] [47]). These results could also be related to the fundamental differences among individual animals [48] [49]. Methanogenic archaea comprise a distinct cluster of strictly anaerobic microorganisms that obtain energy for growth by reducing CO2 or other simple compounds (e.g., acetate, formate, methanol, and alkylamines) to CH4 [20]. It has been reported that rumen cannulation did not affect dry matter intake (DMI), milk production, milk composition, or CH4 emissions (g/d per cow); however, CH4 yield (g/kg per DMI) and intensity (g/kg per energy corrected milk) were decreased [8], indicating that trace amount of dissolved O2 concentration in the rumen may alter ruminal CH4 production and selected methanogen populations. Thus, it is possible to hypothesize that trace amounts of dissolved O2 in the rumen fluid could lead to greater anti-methanogenic activity and warrant further study. However, some studies show interrelationships between individual animals’ genetics and their microbiome, as well as the heritability of some rumen microbiome constituents [50] [51].
Oxygen can come into the rumen 1) with food and drink, 2) with saliva, or 3) from the blood and rumen tissues [45] [52]. In the present study, dissolved O2 concentration in the grain-based, forage-based diets and control blank (rumen fluid only without diet) fermenters decreased (P < 0.01) with increasing incubation time (0 h vs. 24 h; Figure 1(a)), while ruminal pH increased with increasing incubation time (Figure 1(b)): forage-based diet and blank significantly increased (P < 0.001) the ruminal pH with incubation time (Figure 1(b)). These results are consistent with other studies in sheep, goats, and cattle [12] [47]. Although the rumen has been frequently regarded as an anaerobic atmosphere [11] [53], direct measurement of dissolved ruminal gases in rumen-cannulated sheep, goats, and cattle has shown that dissolved O2 is present in ruminal fluid at concentrations of 0.4 µM/L in goats, 0.5 - 1.0 µM/L in sheep, and 4.5 - 7.0 µM/L in cattle. However, these O2 intensities were undetectable (<0.25 µM) 15 - 30 min after post-feeding in the rumen of goats [16] [47]. This could elucidate that the O2 ingested with the food is promptly utilized by the facultatively aerobic organisms present in the rumen [12]. Some microbes seek O2 concentration in the following ranges: Bacillus subtilis, an obligate aerobe, 200 µM; Escherichia coli, a facultative anaerobe, 50 µM; Azospirillum brasilense, a microaerophile, 4 µM; and Desulfovibrio vulgari, an aerotolerant anaerobe, 0.4 µM [54]-[56]. In addition, Hillman et al. (1989) [47] reported that the presence of rumen protozoa decreases the O2 sensitivity of CH4 production by suspensions of a cultured methanogenic bacterium Methanosarcina barkeri. This could be explained by the fact that rumen protozoa and some facultative aerobic bacteria play a role in ruminal O2 utilization, in addition to producing fermentation end products (e.g., VFAs) utilized by the ruminant and H2 utilized by methanogenic bacteria [47]. In addition, some rumen microbes may have an energy-sensing mechanism, such as an aerotaxi system [57]. Aerotaxi is a response to changes in respiratory electron flow that result from an increase or decrease in O2 concentration [58] [59]. This is the basis for electron acceptor taxis [57]. Optimal electron transport requires an adequate source of electron donors (NADH or FADH2) and O2 or an alternative electron acceptor to serve as a sink for electrons [60]. In the presence of O2, alternative electron acceptors such
![]()
![]()
Figure 1. Dissolved O2 concentration (a) and ruminal pH (b) among grain-based, forage-based diets, and blank (only rumen fluid without dietary supplementation) incubated with pooled rumen fluid (pH 5.2) at the beginning (0 h) and 24 h. Asterisks (***) indicate significance at P < 0.001.
as fumarate and nitrate support electron flow [57]. Further research is necessary to determine the specific contributions of bacteria, protozoa, and methanogens, which play a crucial role in maintaining the rumen under near-anoxic conditions.
The effect of the source of rumen fluid on in vitro gas production was extensively discussed [61] and frequently the primary source of variation both within and among donor animals [3] [4] was studied to study the fermentation kinetics of ruminant feeds. In the present study, cumulative in vitro gas, total gas production, and bacterial phylum changes as a function of animal variation among individual cannulated donor steers are presented in Table 4 and Figure 2. In the current study, incubations with pooled rumen fluid resulted in improved (P < 0.01) in vitro gas production (Figure 2 and Table 4), CH4, and N2O emissions (P < 0.001; Table 4) compared with rumen fluid collected from individual steers. In this experiment, significant differences were observed in the gas production profiles among the donor animals’ rumen fluid sources. Part of this variation is likely due to factors such as host animals, as while the animals were fed the same diet throughout the experiment, considerable day-to-day variation has been observed in the rumen metabolism profiles of sheep [7]. However, CH4 and H2S production, Firmicutes (F), Bacteroidetes (B), F/B ratio, and total methanogens (Table 4) were intermediate values for the pooled rumen fluid than for the individual steer rumen fluid samples. Results indicated that variation in rumen gas production due to inoculum source is ultimately attributed to differences in microbial population profiles in the rumen.
![]()
Figure 2. Cumulative in vitro gas production using combined rumen fluid (RF) or single RF-donor steers (Experiment 1: Individual RF versus pooled RF; n = 2). Asterisks (***) indicate significance at P < 0.001.
Table 4. The effect of the source of rumen fluid on in vitro gases emissions.
|
|
Source of rumen fluid (RF)1 |
|
|
|
Item |
Mixed RF |
Steer 6 |
Steer 7 |
Steer 9 |
Steer 13 |
Steer 18 |
Steer 19 |
SEM |
P-value |
In vitro gas production (n =3) |
|
|
|
|
|
|
|
|
|
Total gas production1 |
181.0a |
106.2c |
70.3d |
92.9c |
41.9d |
141.3b |
125.6b |
14.93 |
0.001 |
CH4, mL 24 h−1 |
0.97a |
0.32b |
0.43b |
0.41b |
0.39b |
0.94a |
0.87a |
0.052 |
0.001 |
N2O ppm 24 h−1 |
3.7a |
-2 |
-2 |
0.12c |
0.46b |
0.20c |
0.69b |
0.069 |
0.001 |
H2S ppm 24 h−1 |
5.0b |
41.8a |
19.6ab |
3.5b |
3.2b |
2.9b |
12.5b |
5.69 |
0.01 |
1All the gas production was substituted by blank gas production with rumen fluid and buffer solutions without substrates (total gas = 6.48 ± 0.34; n = 3). Inoculum for in vitro gas production was used on day 0 only. 2Lost gas samples. a-dnumbers in a row with superscript letters are significantly different (P < 0.05).
3.2. Experiment 2
In vitro ruminal gas production
In the present study, pooled rumen fluid produced more consistent CH4 gas and microbial diversity results than individual rumen fluid donors. Therefore, combined rumen fluid was chosen as the inoculum source in experiment 2 based on these preliminary data. The current study evaluated the effects of dissolved O2 supply associated with two contrasts, grain-based and forage-based dietary supplementations, on in vitro DMD, cumulative gas, and GHG emissions over a 24-hour incubation (Figure 3; Table 5). There was no dissolved O2 treatment effect on average IVDMD, with no diet x treatment interactions, but IVDMD was lower (P < 0.01) for forage-based diets than for grain-based diets (41.8% vs. 52.6%, respectively). Czerkawski and Breckenridge [45] reported that neither the disappearance rate of sugar nor the digestibility of organic matter and the production of volatile fatty acids (VFA) were affected by the addition of O2 at the three different incubation times.
In the present study (Table 5), overall mean values of total ruminal gas (18.7 vs. 18.6 mL/23h) and CH4 (3.9 vs. 3.8 mL/h) were similar between grain-based and forage-based diets, while H2S (0.34 vs. 0.93 mL/d) gas production was higher (P < 0.05) for the forage-based diet than for the grain-based diet, respectively. However, increasing O2 supply in the diet decreased (P < 0.05) total gas (mL/24h), CH4 (mL/24h), and H2S (mL/24h) production in the forage-based diet, with no diet × treatment interaction (P > 0.05). In addition, cumulative in vitro gas production (Figure 3) was generally lower (P < 0.05 - 0.01) in the O2-contained water supply group, particularly in the forage-based diet compared to the grain-based diet (Figure 3), similar to what was reported by Czerkawski and Breckenridge [45]. Czerkawski and Breckenridge [45] reported that the 15 mL of O2 infusion into an in vitro rumen fermenter had little or no effect on CH4 production, but the addition of 26 mL of O2 supply resulted in progressive inhibition of CH4 production and accumulation of hydrogen (H2). Similar results regarding the effects of O2 on CH4 production have been reported [16] [62]. This agrees with the data from Scott et al. [12], who reported that increasing the partial pressure of O2 in the gas phase decreased methanogenesis. This decreased methanogenesis is partially reversible even after exposure to 2.5 kPa O2 (6.25 mmHg O2); 5 kPa O2 (15.0 mmHg O2) results in a significant, total interruption of CH4 production [12]. Results indicated that trace levels of O2 concentration, ranging from 2.5 to 5.0 kPa [12], in the rumen could reduce CH4 emissions from ruminants without affecting IVDMD and warrant further study.
Table 5. The effect of oxygenated water supply and different basal diets on in vitro ruminal gas production and microbiota changes in either grain-based (GBD) or forage-based diets (FBD) supplementation1.
|
Dietary treatment |
Average |
SEM |
Diet |
Tret |
Diet × Tret |
Diet/O2, ppm |
Grain-based diet |
Forage-based diet |
Grain |
Forage |
Control 0 ppm |
0.1 ppm |
0.2 ppm |
Control 0 ppm |
0.1 ppm |
0.2 ppm |
IVDMD, % |
53.9 |
53.1 |
50.8 |
41.2 |
42.8 |
41.1 |
52.6a |
41.7b |
0.63 |
0.01 |
0.71 |
0.68 |
Ruminal gas production |
|
|
|
|
|
|
|
|
|
|
|
|
Total gas production, 24 h |
18.9 |
17.7 |
19.4 |
19.9A |
17.7B |
18.2AB |
18.7 |
18.6 |
0.30 |
0.60 |
0.03 |
0.25 |
CH4, mL/24h |
4.1 |
3.6 |
3.9 |
4.4A |
3.4B |
3.5B |
3.9 |
3.8 |
0.14 |
0.99 |
0.05 |
0.68 |
H2S, mL/24h |
0.34 |
0.26 |
0.43 |
1.2A |
0.7B |
0.9AB |
0.34b |
0.93a |
0.08 |
0.01 |
0.05 |
0.52 |
Rumen bacterial phylum and total methanogens |
Firmicutes (F: 1 × 10−8) |
13.1c |
18.1b |
20.6a |
28.1A |
25.0B |
23.7B |
17.3b |
25.6a |
0.73 |
0.01 |
0.50 |
0.01 |
Bacteroidetes (B: 1 × 10−8) |
15.1a |
12.4b |
11.3b |
14.7B |
18.0AB |
19.2A |
12.9b |
17.3a |
0.12 |
0.01 |
0.01 |
0.01 |
F/B ratio |
0.9b |
1.0ab |
1.1a |
1.9B |
2.0AB |
2.1A |
1.00b |
2.00a |
0.05 |
0.01 |
0.01 |
0.01 |
Total methanogen (1 × 10−5) |
5.7b |
8.9a |
8.3ab |
21.0B |
24.3A |
21.2B |
7.6b |
22.2a |
0.73 |
0.001 |
0.001 |
0.001 |
140 mL of buffer solutions containing different levels of dissolved O2 (40 mL) and 50 mL of rumen fluid were added. Diet = grain-based vs. forage-based diets. IVDMD = in vitro dry matter digestibility. a,b,c and A,B,C numbers in a row with superscript letters are significantly different (P < 0.05) for grain-based and forage-based diets, respectively.
Asterisks (*) and (**) denote significance at P < 0.05 and P < 0.01, respectively.
Figure 3. Cumulative in vitro gas production (n = 2) with various levels of dissolved O2-concentration. Dissolved O2 concentration was 0, 0.1, and 0.2 ppm, either grain-based (a) or forage-based (b) diets, supplemented with mixed rumen fluid for 24 h.
3.3. Rumen Microbial Community Changes
The modification of the rumen microbiota community due to dietary changes is of considerable interest, as it increases rumen energy supply and improves feed efficiency and animal performance [63]-[65]. In addition, the rumen microbiota is a complex, highly diverse community in a dynamic rumen environment, shaped by host physiology. We investigated how rumen O2 concentration affects bacterial microbiota composition and total methanogen abundance. We also assessed whether two contrasting diets (grain-based vs. forage-based) on rumen bacteria (Firmicutes vs. Bacteroidetes) and total methanogens changes (Table 5 and Figure 4). An average phylum population was lower (P < 0.01; average 15.1%) for Bacteroidetes than for Firmicutes (average 21.5%) for both forage-based and grain-based diets, with diet × treatment interactions (P < 0.01), indicating that increased O2 concentration and dietary ration may alter the composition of the rumen microbial composition. However, direct evidence for the role of the rumen microbiota in regulating O2 levels remains lacking. In the present study, there were increased (P < 0.01) F/B ratios with a forage-based diet (2.0) compared to a grain-based diet (1.0; Table 5), similar to the earlier reports where a shift from grain to fiber-rich diets led to an increase in the F/B ratios [66]-[68]. During transition periods when ruminants are moved from a primarily forage-based diet to a high-grain diet, significant alterations in the microbiome’s relative abundances are observed. The shift from a forage-based diet to a high-grain diet (80% grain) led to numerous changes in the microbiome, including alterations in the F/B ratio, decreased abundance of cellulolytic bacteria such as Fibrobacter spp., and increased abundance of Prevotella spp., among others [67]. These changes have also been demonstrated in other studies [69]-[71], which support the results of the present study. The ratio of F/B has been connected with other phenotypical features, namely, in adipose metabolism [66] [72]-[74]. In addition, the abundances of the Bacteroidetes and Proteobacteria phyla increased as the grain-based diet became a more significant percentage of the diet, which may be more efficient at fermenting the soluble carbohydrates existing in grain-based diets [67]. They may also be tolerant of the lower pH that occurs when larger amounts of VFA and lactic acid are produced. It has been reported that the proportion of Bacteroidetes decreased drastically when animals were switched from a diet containing a low level of fat to a high level of a plant-based diet [74], even though Bacteroidetes can utilize starch, xylan, pectin, galactomannan, and arabinogalactan (Martine et al., 2011).
![]()
Solutions: 40 mL of dissolved O2-water, 40 mL buffer solution, and 50 ML of rumen fluid were added. Dissolved O2 concentrations in the in vitro rumen incubation were 0.0 (control), 0.1, and 0.2 ppm. Asterisks (***) indicate significance at P < 0.001.
Figure 4. Effects of a level of dissolved O2 concentration on in vitro rumen bacterial community changes in either grain-based or forage-based diets supplemented using an RT-qPCR.
Methane production is a subject of significant attention worldwide due to its role in GHG emissions. Numerous sources of CH4 emissions exist, including wetlands, energy sectors, biomass burning, landfills, and ruminant animals, among which enteric fermentation is the most significant [75] [76]. Increasing dissolved O2-supply decreased (P < 0.05) CH4 emissions, but quadratic increased total methanogens population when addition of O2 solution at 0.1 ppm/mL of O2, with diets × treatment (P < 0.001) interactions (Table 5), suggesting that small amounts of oxygen (<0.1 µM/L) addition primarily transit increased total methanogen populations when forage-based diet was suspended in the rumen incubation compared to the grain-based diet. However, increased O2 supply to 0.2 µM/L was unaffected by the total Methanogen population concentration, consistent with previous data [45] [77]. Tholen et al. [77] reported that the addition of a specific O2 flux of 0.45 µM (mg dry weight)/h did not influence the methanogenesis of the cell suspensions, while higher O2 flux of 1.35 µM (mg dry weight)/h, CH4 production caused a reversible decrease in methanogenesis, which was accompanied by a reversible, partial conversion of coenzyme F420 to factor F390. The same authors reported that Methanobrevibacter cuticularis could simultaneously produce CH4 and consume O2. Seedorf et al. [78] showed that O2 consumption in Methanobrevibacter arboriphilus is mediated by F420H2 oxidase (FprA), an A-type flavoprotein that catalyzes the reduction of O2 to H2O. In the presence of O2, F420H2 is thought to be oxidized by O2 more rapidly than F420 is reduced by H2, leading to an accumulation of the oxidized form [78]. Consequently, Czerkawski and Breckenridge [52] reported that the 15 mL of O2 solution (9% initial concentration of O2 in stock solution) infusion into an in vitro rumen fermenter had little or no effect on CH4 production, but the addition of 26 mL of O2 supply resulted in progressive inhibition of CH4 production and accumulation of H2. It has been reported that CH4 production was positively correlated with Methanobrevibacter thaueri, Methanobrevibacter millerae, and Methanobrevibacter smithii compared with Methanobrevibacter ruminantium and Methanobrevibacter olleyae, whereas no relationship was found between CH4 production and total number of methanogens in dairy cattle fed grain plus forage mixed (500:500 g/kg DMI) diets [79]. Likewise, Methanobacterium wolfeii, Methanomicrobia barkeri, and Methanobacterium formicicum are highly resistant to acute O2 exposure (2 h), as reported [80]. Therefore, the assumption that methanogens are completely metabolically inactive in the presence of O2 [81] [82] must be reconsidered [77].
In the present study, the average methanogen population was greater (P < 0.001; 22.2 vs. 7.6 × 10−5) for a forage-based diet than for a grain-based diet. Results reveal that an increase in the forage-based diet increased the total methanogen populations (Table 5). The results are similar to previous studies in dairy cattle, where a similar increase in the methanogen population was observed with a roughage-rich diet [79] [83]. This suggests that increasing dietary concentrate levels decreased the ruminal archaeal population [83] [84] and CH4 production [79]. It has been reported that as the proportion of concentrate increased in diets, the relative abundance of cellulolytic bacteria (e.g., Fibrobacter and Saccharofermentans) and ciliates protozoa (Ostracodinium and Polyplastron) linearly decreased, but linearly increased the relative abundance of Entodium ciliates, which is a non-fibrous carbohydrate degrader [83] [84]. Therefore, the observed associative effect of diets and a high level of dissolved O2 concentration in the rumen on the suppression of methanogenesis was primarily due to their anti-methanogenic activity and, secondarily, to their modification of microbial community structures (e.g., Firmicutes) and rumen fermentation profiles.
3.4. Oxygen Levels and Rumen Fermentation Profiles
Table 6. The effect of dissolved oxygenated water supply and different basal diets on in vitro ruminal gas production either grain-based (GBD) or forage-based diets (FBD) supplementation1.
|
Volatile fatty acids, mM |
Average |
SEM |
Diet |
Tret |
Diet × Tret |
Diet/O2, ppm |
Grain-based diet |
Forage-based diet |
Grain |
Forage |
Control 0 ppm |
0.1 ppm |
0.2 ppm |
Control 0 ppm |
0.1 ppm |
0.2 ppm |
Propanol |
0.54 |
0.99 |
1.10 |
0.10 |
0.01 |
0.01 |
0.88a |
0.04b |
0.216 |
0.001 |
0.54 |
0.34 |
Butanol |
0.16 |
0.14 |
0.08 |
0.02 |
0.03 |
0.03 |
0.12a |
0.03b |
0.03 |
0.01 |
0.54 |
0.35 |
Pentanol |
0.06 |
0.02 |
0.05 |
0.02 |
0.02 |
0.01 |
0.04a |
0.01b |
0.009 |
0.01 |
0.20 |
0.19 |
Acetate |
64.8c |
58.8b |
69.2a |
75.5 |
76.3 |
76.2 |
64.3b |
76.0a |
1.28 |
0.001 |
0.02 |
0.01 |
Propionate |
47.3a |
43.0b |
50.3a |
30.8 |
31.3 |
31.2 |
46.9a |
31.1b |
1.027 |
0.001 |
0.03 |
0.03 |
Iso-butyrate |
1.0 |
1.0 |
1.1 |
1.9 |
1.9 |
1.2 |
1.03b |
1.67a |
0.04 |
0.01 |
0.38 |
0.68 |
Butyrate |
10.3 |
9.6 |
11.1 |
12.7 |
12.3 |
12.6 |
10.3b |
12.5a |
0.25 |
0.001 |
0.04 |
0.11 |
Iso-valerate |
1.3 |
1.2 |
1.4 |
3.7A |
3.5B |
3.6aB |
1.3b |
3.6a |
0.06 |
0.001 |
0.10 |
0.30 |
Valerate |
8.6 |
8.1 |
8.7 |
7.5 |
7.3 |
7.2 |
8.4a |
7.3b |
0.22 |
0.001 |
0.29 |
0.39 |
Iso-hexanoate |
0.26 |
0.29 |
0.29 |
0.12 |
0.01 |
0.0 |
0.28a |
0.04b |
0.07 |
0.01 |
0.79 |
0.55 |
Hexanoate |
5.4 |
3.6 |
3.0 |
1.7 |
1.7 |
0.0 |
4.0 |
1.1 |
1.72 |
0.08 |
0.53 |
0.88 |
Heptanoate |
0.48 |
0.45 |
0.55 |
0.38 |
0.35 |
0.34 |
0.50a |
0.36b |
0.043 |
0.01 |
0.59 |
0.43 |
Octanoate |
0.77 |
0.68 |
0.77 |
0.48 |
0.0 |
0.86 |
0.74 |
0.45 |
0.206 |
0.13 |
0.14 |
0.25 |
Phenol |
0.05 |
0.04 |
0.05 |
0.04 |
0.03 |
0.04 |
0.05a |
0.03b |
0.006 |
0.04 |
0.69 |
0.83 |
p-cresol |
0.23 |
0.21 |
0.24 |
0.28 |
0.26 |
0.26 |
0.23 |
0.27 |
0.02 |
0.06 |
0.57 |
0.87 |
4-Ethylphenol |
0.10 |
0.12 |
0.15 |
0.37 |
0.40 |
0.39 |
0.13b |
0.39a |
0.021 |
0.001 |
0.29 |
0.75 |
Indole |
0.03 |
0.04 |
0.03 |
0.03 |
0.06 |
0.06 |
0.03 |
0.05 |
0.010 |
0.08 |
0.35 |
0.21 |
Skatole |
0.01 |
0.02 |
0.01 |
0.01 |
0.01 |
0.01 |
0.01 |
0.01 |
0.006 |
0.22 |
0.38 |
0.56 |
Benzoate |
0.04 |
0.04 |
0.03 |
0.06 |
0.10 |
0.09 |
0.04b |
0.08a |
0.011 |
0.01 |
0.35 |
0.40 |
Phenylacetate |
0.24 |
0.25 |
0.26 |
0.85 |
0.84 |
0.82 |
0.25b |
0.84a |
0.016 |
0.001 |
0.98 |
0.29 |
Phenylpropionate |
0.28 |
0.29 |
0.33 |
0.91 |
0.92 |
0.91 |
0.30b |
0.91a |
0.015 |
0.01 |
0.61 |
0.22 |
A/P ratio |
1.36 |
1.36 |
1.37 |
2.5 |
2.4 |
2.4 |
1.37b |
2.45a |
0.02 |
0.001 |
0.92 |
0.96 |
140 mL of different levels of dissolved O2-containing buffer solution and 50 mL of rumen fluid were added. Diet = grain-based vs. forage-based diets. a,b,c and A,B,C numbers in a row with superscript letters are significantly different (P < 0.05) for grain-based and forage-based diets, respectively.
It has been reported that as the level of dietary concentrate increased from 20 to 80% DM, the acetate: propionate (A/P) ratio and the proportion of acetate decreased linearly [83], which supports the results of the present study (Table 6). Decreased A/P ratio (1.37 vs. 2.45) was observed when increasing the grain-based diet, suggesting that the grain-based diet increased feed efficiency (as measured by A/P ratio). Concerning the effect of a grain-based diet on the A/P ratio, the results of the current study were comparable to those of Min et al. [10], who found that A/P ratios for a grain-based diet were lower compared to those for a forage-based diet. Similar results were observed in sheep fed [85]. Among volatile fatty acids (VFA), propionate was the major VFA contributing to glucogenesis [63]. Therefore, the higher ratio of ruminal propionate fed a high-concentrate diet could be beneficial to the energy metabolism, even though the detection of physiological functions of ruminal pH should be warranted. Lower A/P ratios are associated with higher average daily gain [86]. Diets with a high proportion of grain have been shown to decrease CH4 production (g/kg DMI) per unit of DMI, which has been linked to enhanced growth of starch-fermenting bacteria, resulting in lower A/P ratios and H2 production and thus reduced CH4 production [87] [88]. In addition, the increased proportion of propionate could be associated with a decrease in rumen pH, which has been suggested to slow methanogen activity [89] [90]. In contrast, diets with a high proportion of forage have been shown to increase CH4 production (g/kg DMI); [6]. This is most likely due to the fermentation of plant cell wall carbohydrates, increasing A/P ratios compared with the fermentation of soluble carbohydrates [6] [91]. However, there is very limited research available on the effect of dissolved O2 concentration in the rumen, particularly in steers, on rumen fermentation rate from cattle. In the presence of O2, the average concentration of propanil, pentanol, propionate, valerate, iso-hexanoate, heptanoate, and phenol decreased (P < 0.05 - 0.01), whereas acetate, iso-butyrate, butyrate, iso-valerate, 4-ethylphenol, benzoate, phenylacetate, phenylpropionate, and A/P ratio increased with increasing forage diet (Table 6). In the presence of O2, quadratic responses with O2 by diets (P < 0.03 - 0.01) for acetate and propionate production suggested that it may be possible to have a minimum of O2 concentration in the rumen to alter rumen fermentation and suppress CH4 losses.
4. Conclusion
The findings indicated that rumen fluid obtained from a single donor animal was prone to error due to host-animal variation and suggested that mixed RF from multiple donor animals can be used in an in vitro study. Dissolved O2 levels in the rumen and diets potentially influenced ruminal gas production, resulting in different fermentation end products, some bacterial diversity, and methanogen abundance. Furthermore, studies investigating the associations among CH4 emissions, rumen methanogen abundance, rumen fermentation profiles, and feed efficiency are needed to develop more specific nutritional management strategies that reduce CH4 emissions without compromising animal health, growth, and productivity.
Funding
USDA National Institute of Food and Agriculture, McIntire-Stennis program (project # ALX-SRS22), and the USDA/NRCS (NR233A750004G103).
Supplementary Material
Not applicable.
Data Availability
Upon reasonable request, the datasets of this study can be made available from the corresponding author.
Ethics Approval
Tuskegee University. Tuskegee University Animal Care and Use Committee approved animal care, handling, and sampling procedures for this experiment (#T02-2002-1).
Declaration of Generative
No AI tools were used in this article.
Acknowledgements
We want to thank the Cooperative Extension Program for Agricultural Environmental Sciences, Tuskegee University, Tuskegee, AL.
Author Contributions
Conceptualization: Byeng Min and Richard Puchala, Data Curation: Byeng Min, Mariline Hilaire, Santosh Chaudhary, Vivian Kanyi: Heba Abdo, Hossam Ismael, and Richard Puchala;
Methodology: Byeng R. Min, Hosam Ismael;
Software: Byeng R. Min, Richard Puchala;
Investigation: Byeng R. Min;
Validation: Richard Puchala;
Writing/review: All the authors.