Next Article in Journal
Modeling Anaerobic Co-Digestion of Corn Stover Hydrochar and Food Waste for Sustainable Biogas Production
Previous Article in Journal
Polysaccharide Extracts Derived from Defloration Waste of Fruit Pitaya Regulates Gut Microbiota in a Mice Model
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Supplementation of Oilseeds to an Herbage Diet High in Condensed Tannins Affects Methane Production with Minimal Impact on Ruminal Fermentation in Continuous Culture

by
Eric D. Billman
1,2,
S. Leanne Dillard
1,3,
Ana Isabel Roca-Fernández
1,4 and
Kathy J. Soder
1,*
1
USDA-ARS, Pasture Systems and Watershed Management Research Unit, University Park, PA 16802, USA
2
USDA-ARS, Coastal Plains Soil, Water, and Plant Conservation Research Unit, Florence, SC 29501, USA
3
Department of Animal Sciences and Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL 36803, USA
4
Departamento de Producción Vegetal y Proyectos de Ingeniería, Escuela Politécnica Superior de Ingeniería, Universidad de Santiago de Compostela, 27002 Lugo, Spain
*
Author to whom correspondence should be addressed.
Fermentation 2022, 8(3), 109; https://doi.org/10.3390/fermentation8030109
Submission received: 7 February 2022 / Revised: 24 February 2022 / Accepted: 28 February 2022 / Published: 3 March 2022
(This article belongs to the Section Industrial Fermentation)

Abstract

:
Condensed tannins (CT) have been observed to reduce enteric CH4 production when added to ruminant diets. However, high concentrations of CT in forages such as sericea lespedeza (SL; Lespedeza cuneata (Dum. Cours.) G. Don) may depress nutrient digestibility. Oilseed crops, high in lipid concentration, also reduce enteric CH4 via toxicity to methanogenic bacteria with less depression of nutrient digestibility. However, it is unclear whether combining these two feeds would result in even greater decreases in CH4 without impairing ruminal fermentation. This study used an in vitro continuous culture fermentor system to determine if supplementation of ground oilseeds would further reduce enteric CH4 production while improving nutrient digestibility of high-CT forages. The experimental design was a 4 × 4 Latin square, with four diets containing (dry matter basis) 45% orchardgrass (OCH; Dactylis glomerata L.), 45% sericea lespedeza (SL; Lespedeza cuneata (Dum. Cours.) G. Don), and 10% oilseed supplements, using canola (CAN; Brassica napus L.), soybean (SOY; Glycine max L.), sunflower (SUN; Helianthus annuus L.), or a mix of all three species (MIX; in equal proportions). Fermentors were fed 82 g of dry matter/d in four equal feedings over four 10 d periods. Methane was recorded every 10 min, and effluent samples were analyzed for pH, volatile fatty acids, dry matter, organic matter, crude protein, neutral detergent fiber, and acid detergent fiber to determine apparent and true nutrient digestibilities. The CAN, SUN, and MIX diets had greater concentrations of crude fat (7–8 g/kg) than the SOY diet (5.7 g/kg), which contributed to the greater reduction in enteric CH4 production in those diets (13–27 mg/d) compared to the SOY diet (84 mg/d). Apparent and true nutrient digestibilities were not affected by the addition of ground oilseeds. While N intake increased concomitant with crude protein increases in the diets, there were no additional effects on N flows. While supplementing a high-CT diet with any of the three oilseeds (canola, soybean, sunflower, or a mixture of the three oilseeds) reduced total CH4 emission without depressing nutrient digestibility, canola and mixes containing canola were most effective. Further research is needed in vivo to evaluate whether these results translate to greater feed efficiency and animal production.

1. Introduction

Greenhouse gases such as methane (CH4) are well-established contributors to degradation of the ozone layer [1]. This has led to rising global temperatures and exacerbated climate change for the past several decades [2]. While there are multiple sources of greenhouse gas pollution, particularly from fossil fuels, livestock CH4 emissions have also drawn substantial attention from the general public [3]. Data from the past decade indicate that enteric CH4 production by ruminant livestock comprises more than 25% of all agricultural greenhouse gas sources [4]. Further data from the US and Australia indicated that beef cattle and dairy cows (Bos taurus L.) are the primary CH4-producing livestock species [5,6]. Therefore, addressing CH4 emissions by changing the dietary and nutritional profile of these ruminant livestock is of critical importance to reducing agriculture’s contribution to global climate change.
Numerous feed additives and dietary supplements have been examined for the potential reduction in CH4 emissions in ruminants [7]. However, this reduction is often at the expense of animal performance or feed efficiency. A class of polyphenolic compounds known as condensed tannins (CT) exemplify this pattern of substantially reducing CH4 emissions [8]. Other benefits of CT include reduced risk of bloat and internal parasite infection [9,10]. However, forages containing high levels of CT (>25 g/kg) have been shown to have detrimental effects on nutrient digestibility [11]. Condensed tannins are naturally produced by several leguminous forages, including sericea lespedeza (SL; Lespedeza cuneata (Dum. Cours.) G. Don), sainfoin (Onobrychis spp. Mill.), and birdsfoot trefoil (Lotus corniculatus L.), as defense from herbivory. There is also a wide range in the concentration of CT within many forage legumes, which can alter the efficacy of reducing CH4 emissions or affect feed digestibility [12]. Previous work found that diets containing 50% of DM as SL (the highest CT of all forages evaluated) had the lowest CH4 emissions but also had the lowest DM, OM, NDF, and ADF digestibilities compared with legumes containing lower CT concentrations [11]. This exemplifies the need to develop ruminant diets with balanced CT concentrations to provide the maximum CH4 reduction while simultaneously minimizing impacts on digestibility [13].
Oilseeds such as soybean (Glycine max L.), canola (Brassica napus L.), and sunflower (Helianthus annuus L.) are high in lipid content, with over 80% of their energy reserves being in the form of fatty acids [14]. The crude fat (CF) of oilseeds via wet chemistry provides a measure of lipid content, which is the most likely contributor to reducing CH4 emissions and can modify milk fatty acid profiles in dairy cows [15]. For example, monounsaturated fatty acids (palmitoleic (16:1) and oleic (18:1)), polyunsaturated fatty acids (linoleic (18:2), linolenic (18:3)), and medium-chain fatty acids are toxic to the methanogenic bacteria in the rumen [16,17]. Recent work has also shown that lipid-encapsulated tannins from acacia shrubs (Acacia penninervis DC) significantly reduced enteric CH4 production at a similar rate to unencapsulated tannins, but NDF and ADF digestibilities were greater than in unencapsulated tannins [18].
Because oilseeds are primarily composed of lipids, they can be effective at reducing enteric CH4 emissions in small proportions (<10%) of the diet. Soder et al. [19] found no reduction in nutrient digestibility when flaxseed, canola, or sunflower were fed in vitro at 10% of total DM to an herbage diet, but CH4 was not evaluated in that study. Beauchemin et al. [20] showed a significant reduction in CH4 production when sunflower, flaxseed, and canola were supplemented at 3.1 to 4.2% of diet DM to lactating dairy cows fed TMR. However, digestible dry matter (DM) intake was reduced by flax and sunflower, but there was no reduction in digestible DM intake with canola. Recent work with a similar oilseed, hemp (Canabis sativa L.), has also shown the efficacy of high-lipid seed meal in reducing enteric CH4 with less than 11 mL CH4/g/day and organic matter digestibilities ranging from 30 to 40% [21].
While both CT and oilseeds have independently been effective at reducing enteric CH4 emissions in cattle, there has been little examination of their potential additive effects on CH4 emissions or ruminal fermentation. If fed in tandem with CT, the properties of lipids found in oilseeds may reduce the negative effects of CT on the digestibility of consumed forages while providing greater reductions in enteric CH4 emission. However, this hypothesis has yet to be evaluated. Therefore, the objective of this study was to evaluate the efficacy of feeding ground oilseeds of three species with diets containing SL to reduce enteric CH4 emissions and minimize negative effects on diet digestibility. We hypothesized that oilseed species containing the greatest lipid content would exhibit similar reductions in CH4 emissions while having the least adverse impact on nutrient digestibility.

2. Materials and Methods

A rumen fluid donor cow was housed at the Pennsylvania State University Dairy Research Farm (University Park, PA, USA) and managed under Pennsylvania State University Institutional Animal Care and Use Committee guidelines (IACUC; protocol no. 46212).

2.1. Site, Experimental Design, and Diets

This study was conducted at the USDA-ARS Pasture Systems and Watershed Management Research Unit (University Park, PA, USA) from September to November 2016. The orchardgrass (OCH) was grown and harvested from a 3 yr stand located at the Russell E. Larson Agricultural Research Center (Rock Springs, PA, USA; 40°40′00″ N, 77°56′24″ W). Vegetative biomass was harvested in summer 2016, freeze-dried to preserve nutritional value, and ground in a Wiley Mill (Thomas Scientific, Swedesboro, NJ, USA) to pass a 2 mm mesh screen. The biomass of the SL cultivar ‘AU Grazer’ (Sims Brothers, Inc., Union Springs, AL, USA) was harvested in July 2015 from a 3 yr monoculture, grown at the University of Kentucky’s Spindletop Research Farm (Lexington, KY; 30°7′40″ N, 84°29′39″ W). The harvest of SL biomass occurred at the flowering stage, and material was freeze-dried and ground in a Wiley Mill to a 2 mm particle size. Oilseed crop seeds were from the following cultivars: ‘Inspiration’ canola (Rubisco Seeds, Philpot, KY, USA), ‘Peredovic’ sunflower (Hancock Seed Company, Dade City, FL, USA), and ‘Stonewall’ soybean (Hancock Seed Company, Dade City, FL, USA). Seeds were not freeze-dried but were ground to 2 mm fineness in a cyclone mill (UDY Corp., Fort Collins, CO, USA). The 2 mm fineness was selected to prevent oil particles from forming when grinding the oilseeds. Thus, all material (forage and oilseeds) were ground to this fineness. Ground whole seeds were used to maintain the fatty acid composition, compared to seed meals which have been extracted.
A 4 × 4 Latin square design was used to randomize four diets within each of four 10 d periods. Each diet comprised identical basal forages, with 45% OCH and 45% SL (high-CT legume), with the remaining 10% comprising one of three oilseed supplements as follows: 10% canola seed (CAN), 10% soybean seed (SOY), 10% sunflower seed (SUN), and an even mix (3.33% each) of canola, soybean, and sunflower (MIX).

2.2. Continuous Culture System

A four-unit single-flow continuous culture in vitro fermentation system (Applikon Biotechnology, B.V. Schidam, The Netherlands) was used to simulate rumen digestion. Details of this system can be found in Dillard et al. [22]. Fermentors were fed four times daily (20.5 g/feeding) at 07:30, 10:30, 14:00, and 19:00 h, with daily DM fed fixed at 82 g/d. The digesta retention time and buffer dilution rate were adjusted daily via regulation of effluent removal and buffer flow and were maintained at 24 h and 10%/h, respectively. Rumen fluid and digesta were collected from a fistulated, nonlactating, nonpregnant, 4-year-old Holstein cow (794 kg body weight) fed a diet of silage, hay, and grain (3:1 forage-to-concentrate ratio, ad libitum). On the morning of d 1 of each period, approximately two hours after feeding, 7 L of rumen fluid was collected from the donor cow using a hand pump and placed into plastic airtight containers that were pre-warmed to 39 °C. Solid rumen digesta (of the 3:1 forage-to-concentrate diet) was collected by hand from the ventral, central, and dorsal areas of the rumen. Within 30 min of collection, rumen fluid and solid digesta were transported back to the USDA-ARS lab to prepare for transfer into fermentor vessels. Fluid was first strained through four layers of cheesecloth and 1.5 L was poured into each of the four pre-warmed fermentor vessels. Each fermentor was then inoculated with 32 g of solid digesta. The flow of CO2 was initiated at 20 mL/min for 1.5 h following inoculation to create anaerobic conditions in each vessel and then lowered to 1 mL/min for the duration of the experimental period.
Each 10 d period consisted of seven days of diet adaptation followed by three days of sampling. For each fermentor, daily effluent was removed, pumped into a 4 L storage container, and cooled to 4 °C to inhibit further microbial fermentation. The contents of these 4 L containers were weighed during days 1–7 to calibrate effluent removal to approximately 4 L/d and then discarded. At the 10:30 h feeding (second daily feeding) on days 8–10, daily effluent contents were weighed, mixed with a blender (model 38 LL52 Waring; Torrington, CT, USA), and then subsampled. First, 50 mL of effluent was strained through 8 layers of cheesecloth. Then, 2 containers containing 3 mL of 25% m-phosphoric acid were each filled with 15 mL of strained effluent for determination of VFA [23] and NH3-N [24] concentrations. Finally, 1 L/d of blended effluent was collected and composited across all three sampling days (3 L total) for assessment of effluent nutritive value parameters. Composited effluent samples were then freeze-dried, ground to pass through a 1 mm sieve, and stored in sealed plastic bags for later analyses.

2.3. Methane Quantification

During each 10 d period, CH4 measurements were taken at 10 min intervals on each fermentor vessel using a photoacoustic gas monitor (LumaSense Technologies Inc., Santa Clara, CA, USA) connected to a multiport sampler (CAI, Inc., Orange, CA, USA) that controlled the flow of gas from the headspace of each vessel. These readings resulted in six readings/fermentor/h, with a total of 2880 readings per fermentor over each 10 d period. Each 10 min cycle of the gas monitor required 140 cm3 of the 1500 mL of headspace gas in the vessel. Daily CH4 production was calculated with the following equation:
CH 4   volume a   CH 4   volume b
where CH4 volumea was defined as the headspace volume multiplied by the CH4 concentration, and CH4 volumeb was defined as the CH4 volume 10 min prior to measuring volumea, summed over each of the three 24 h sampling days.

2.4. Nutrient Analyses

Forage and seeds were analyzed via wet chemistry (Dairy One, Ithaca, NY, USA) for the following procedures: DM (method 930.15; [25]), CP (method 990.03; [25]), RDP (Cornell Streptomyces griseus enzymatic digestion; [26]), aNDF (Ankom Technology method 6), ADF [27], lignin [27], and CF (method 2003.05; [25]). Non-fibrous carbohydrate was calculated as
g / kg   NFC = 100 CP g / kg + NDF g / kg + CF   g / kg + ash   g / kg
Total digestible nutrients were calculated from formulas derived from Weiss [28]. Forage and seed samples were sent to the Department of Plants, Soils, and Climate at Utah State University (Logan, UT, USA), where CT concentrations were quantified using a butanol-HCl-iron assay [29].
Effluent samples were analyzed for DM and OM (methods 930.15 and 942.05; [25]), CP (micro-Kjeldahl digestion using 75 mL calibrated tubes with CuSO4 catalyst; method 976.06; [25]), and aNDF [27] using α-amylase and sodium sulfite (inclusive of ash). Concentrations of total and individual VFA were determined using gas chromatography (Varian 330 Gas Chromatograph (FID Detector), Varian 4290 Integrator; Supelco, 1975, modified to use an 80/120 Carbopack B-DA/4% Carbowax 20 M column) at the Rumen Fermentation Profiling Laboratory at West Virginia University (Morgantown, WV, USA).

2.5. Statistical Analyses

Data were analyzed as a 4 × 4 Latin square, using PROC GLIMMIX in SAS 9.4 (SAS Institute, Cary, NC, USA). Repeated measures with an autoregressive covariance structure were used for the response variables CH4 concentration, VFA concentrations, and fermentor pH levels, as these values were recorded daily over the three sampling days. For these variables, period and diet were considered fixed effects, while fermentor and sampling day were considered random effects. The following model was used for these variables:
Y i j k l = µ + P i + F j + D k + P D i k + T l + P T i l + ε i j k l
where µ = population mean, Pi = mean effects of the ith period, Fj = mean effects of the jth fermentor, Dk = mean effects of the kth sampling day, Tl = mean effects of the lth diet, and ε(ijkl) = experimental error. A second model was used to assess digestibility and N metabolism data, without repeated measures, as values were only assessed on a per-period basis. Again, period at diet was a fixed effect, while fermentor was considered a random effect:
Y i j k l = µ + P i + F j + T k + P T i k + ε i j k
where µ = population mean, Pi = mean effects of the ith period, Fj = mean effects of the jth fermentor, Tk = mean effects of the kth diet, and ε(ijk) = experimental error.
For all statistical analyses, an alpha level of α = 0.05 was used to determine significant differences, while trends were established at an alpha level of 0.10 > α > 0.05. After conducting analysis of variance, no period × diet interactions were found for any variables tested; therefore, only main effects are presented.

3. Results

3.1. Diet Composition and Digestibilities

The chemical compositions of the ingredients and diets are presented in Table 1. Statistical comparison of diets was not conducted because the nutrient composition of diets was based on pooled samples. The CT concentration of the SL forage was 149 g/kg DM, compared to 3.7 g/kg DM for OCH, and less than 1 g/kg DM for the ground canola, soybean, and sunflower oilseeds. As all diets contained the same amount of SL, final CT concentrations were identical among diets (68.9 g/kg DM). Crude fat concentrations of canola and sunflower were approximately twice the numeric value of soybean. This resulted in the SOY diet having only 5.7% CF, compared to 7–8% CF in the CAN, SUN, and MIX diets. While the ground soybean seed used to formulate the diets was greater in CP and RDP and had lower aNDF, ADF, and lignin than canola or sunflower, there were no distinct numerical trends observed among the final diets for any of the protein or fiber parameters. This was attributed to these components comprising only 10% of each diet.
No differences were observed (p > 0.10) in either apparent or true DM and OM digestibilities among oilseed diets (Table 2). Additionally, apparent aNDF and ADF digestibilities were similar between diets (p > 0.10).

3.2. Methane Production, VFAs, and pH

Total daily CH4 production was the lowest (p < 0.001) in the MIX and CAN diets, intermediate in the SUN diet, and the highest in the SOY diet (p < 0.001; Table 3). Production of CH4 per gram of OM and aNDF was greater (p = 0.01) for the SOY diet, compared to all three other diets. These effects were magnified when the amount of CH4 produced per gram of digestible OM and aNDF was examined. Both parameters resulted in the MIX, CAN, and SUN diets having less CH4 produced per gram of digestible OM (p = 0.01) or aNDF (p = 0.02) than the SOY diet.
The SOY diet had the greatest (p < 0.001) total VFA concentration (Table 3). Molar proportions of acetate were the greatest (p < 0.001) for SOY and the lowest for CAN and MIX. Molar proportions of propionate were the greatest (p = 0.001) for the CAN and MIX diets and the lowest (p = 0.001) for the SOY diet. Butyrate proportions were the greatest (p < 0.01) in the MIX diet. The CAN and SOY diets had the greatest (p = 0.01) proportions of isobutyrate, while the MIX diet had the lowest. Molar proportions of valerate were the greatest (p < 0.001) for the CAN and MIX diets and the lowest for the SOY diet. The CAN and MIX diets had the greatest (p < 0.001) proportions of valerate. Isovalerate was undetectable for all diets (data not shown). The CAN and MIX diets had the lowest (p < 0.001) ratios of acetate/propionate (A/P), acetate and butyrate/propionate (A + B/P), and acetate and butyrate/propionate and valerate (A + B/P + V), while the SOY diet had the greatest (p < 0.001) ratio in all three parameters.
The SOY diet had the lowest (p < 0.001) mean, maximum, and minimum fermentor pH (Table 3). The MIX diet had the greatest (p < 0.001) mean and minimum pH, while the MIX, CAN, and SUN diets had the greatest maximum pH and minimum pH (Table 3).
The SOY diet had the greatest N intake, followed sequentially by MIX, CAN, and SUN (p < 0.001; Table 3). No other parameters of N metabolism were affected (p > 0.10) by the oilseeds added to the high-CT basal diet.

4. Discussion

4.1. Importance of Diet Composition and Digestibilities

The observed proportions of CF for individual oilseeds (Table 1) followed those established by Liu et al. (2016) [30]. This resulted in the SOY diet having only 57 g CF/kg DM, compared to 70–79 g CF/kg DM in the CAN, SUN, and MIX diets. While the ground soybean used to formulate the diets was greater in CP and RDP and had lower aNDF, ADF, and lignin than canola or sunflower, there were no distinct numerical trends observed among the final diets for any of the protein or fiber parameters. This was attributed to the oilseed supplements comprising only 10% of each diet.
For this study, SL was the only appreciable source of CT in the components of any diet. Thus, the addition of the oilseeds, alone, did not affect the digestibilities of a high-CT diet (Table 2) as the total CT concentration in the diet was numerically similar across all diets. Sericea lespedeza is known to have one of the highest concentrations of CT among forage legumes [31], which our work supports (149.2 g CT/kg). In another continuous culture fermentor study, Roca-Fernández et al. [11] digested legumes (alfalfa (Medicago sativa L.), birdsfoot trefoil (Lotus corniculatus L.), crown vetch (Securigera varia L.), and SL) that ranged from 2.3 to 148 g/kg of DM in CT and found that as the CT in the diet increased, CH4 decreased, but there was also a corresponding decrease in nutrient digestibility. Work with lambs fed acacia (Acacia cyanophylla Lindl.) leaves (approximately 50 g CT/kg) supplemented with soybean meal nearly doubled average daily gains while maintaining CP digestibilities in excess of 0.70 [32]. Therefore, oilseeds could potentially improve the digestibility of a diet with a lower concentration of CT than the SL diet used in this study. However, this might necessitate different processing of the oilseeds (i.e., using seed meal or concentrated oil extracts instead of ground seeds).

4.2. Effects on Enteric Methane Production, VFAs, Fermentor pH, and N Metabolism

The reductions in CH4 production provided by the high-CT forage are even greater than those reported by Roca-Fernández et al. [11] when oilseed supplements were added to the diet (Table 3). In the present study, soybean was not as effective in reducing CH4 production as canola, sunflower, or a mixture of all three species; the SOY diet produced three to four times the amount of CH4 (~84 mg/d) as the CAN, SUN, and MIX diets. This was likely due to the lower concentration of CF present in the ground soybean used in the SOY diet, compared to the concentrations in the ground canola and sunflower seed. It is important to note that soybean is the most readily available oilseed available for animal feed supplementation and is commonly used as a protein source [33]. Producers interested in lowering CH4 emissions from their beef cattle or dairy cows should consider either canola, sunflower, or oilseed mixes. This will assist in minimizing the CH4 impact of farming systems and contribute to reduced greenhouse gas emissions. However, these other sources are likely more expensive than soybeans, and not as readily available; therefore, farmers would need an economic incentive to incorporate these supplements into herd rations.
The crude fat concentration in the diet has been previously shown to reduce enteric CH4 emissions in ruminants [34]. There was a trend of CH4 production being negatively correlated with CF (Pearson correlation coefficient = −0.81, p = 0.08, data not shown). The greater CH4 production with the SOY diet could be attributed to the lower proportion of unsaturated fatty acids in soybean (~85%; [14]), compared to that of canola (~92%; [35]). Unsaturated fatty acids were found to reduce the production of CH4 in ruminants as far back as the 1960s, with an increasing concentration of these fatty acids causing further reductions in CH4 [36]. This was attributed to unsaturated fatty acids competing for H+ ions in the rumen during hydrogenation, which would otherwise be used to form CH4 [37]. While more recent work has focused on the addition of concentrated soybean oil or canola oil to rations, our work suggests that a reduction in CH4 in the CAN, SUN, and MIX diets was still imparted when these oilseeds were simply fed as ground seed. When oilseeds are combined with CT in the diet, these results indicate that CH4 emissions from ruminal fermentation can be significantly reduced, i.e., <30 mg CH4/d (CAN, SUN, or MIX diets) vs. >200 mg CH4/d (50% orchardgrass, 50% alfalfa diet) when no CT or ground oilseeds are fed [11].
The VFA results (Table 3) are important to note for several reasons. First, the lower total VFA concentrations found in the CAN, SUN, and MIX diets could be attributed to the greater concentration of CF in those diets (7–8 g/kg), compared to the SOY diet (5.7 g/kg). This suggests that greater amounts of CF may have a negative relation to VFA production, both on an individual and total VFA basis. Work from the 1960s and 1970s found either (a) no effect of feeding a greater fat content on VFA production [38,39] or (b) conflicting results to our findings, i.e., increased acetate, but decreased propionate, in high-fat diets [40]. However, these older trials used extracted and pure seed oil, molasses, or other high-fat plant products. More recent work from Paula et al. [41] found that some individual VFAs were decreased with canola meal. However, these effects were not as consistent as the results of the present study, likely due to the extraction process removing much of the fat content. A recent in vitro study found a significant decrease in VFA production in response to increasing CT in forage diets containing legumes differing in CT, the highest of which was a 50:50 OCH/SL diet [11]. The results of the current study show that the addition of 10% oilseeds that contain high CF concentrations (CAN, SUN, or MIX vs. SOY diets) to 45:45 OCH/SL diets might also be provoking significant declines in ruminal VFA production. Depending on what VFAs are affected, this may cause detrimental effects on milk production or milk quality components for dairy or reduce live-weight gains in beef production.
The fermentor pH data (Table 3) were similar to those from a previous study by Kowalczyk et al. [42] where sequential rates of tallow (high in lipid concentration) were added as supplements to ruminant diets. However, such small differences likely would not be biologically significant [43]. It should be noted that the high-CT diets in the present study had a mean pH that was slightly more alkaline (6.9–7.0) than normal forage diets (~6.5–6.7) [44]. This accounts for the increased acetate production compared to propionate that was observed across all four diets. However, the small biological difference in pH likely would not be the cause for the differences in the VFA concentration among diets, as all pH values were well within the normal range for optimal rumen function [45].
The addition of ground oilseeds to the basal diet had no impact on the N flows (Table 3). However, the greater CP concentrations in certain oilseed species, e.g., soybean, did affect the amount of N present in each diet. This may be due to soybean providing a high-quality protein source of N to enhance the supply of CP and RDP from preformed AA and peptides in ruminal fermentation [8]. The ground soybean used in this in vitro work had less CP than normal soybean crops, 40% compared to 50–55% [46], likely due to Stonewall being an older, public release cultivar [47] that has not been selected for a greater CP concentration. If a different source of ground soybean was used for this study, it is likely that N flows in our in vitro system would have differed between diets, which is supported by the findings of [48] and research conducted by [49]. Another potential reason for the minimal effect of oilseeds was that they comprised only 10% of the diet. This limited the differences in dietary CP that were in each diet, because OCH and SL were the predominant components (45% each) of the basal diets. Based on conclusions from Roca-Fernández et al. [11], it is likely that altering the source of CT would have more effect on N metabolism and flows, rather than which ground oilseed was added to the diet.

5. Conclusions

The addition of the oilseeds canola, sunflower, and a mixture of canola, sunflower, and soybean to an herbage diet high in CT reduced CH4 production compared to the addition of only soybean. This was attributed to the greater CF concentrations found in canola and sunflower compared to soybean, which equated to greater ruminal fatty acid concentrations that are antagonistic to enteric methanogenesis. At the same time, nutrient digestibility was not depressed, suggesting that animal performance may not be impaired. Total VFA production was, however, notably reduced in the CAN, SUN, and MIX diets, which was also attributed to the greater CF present in those diets and may negatively impact milk production, milk components, and live-weight gain. Future work to assess different levels, as well as different combinations, of oilseeds supplemented to high-CT diets on ruminal fermentation, CH4 production, and animal performance is needed.

Author Contributions

Conceptualization, A.I.R.-F., S.L.D. and K.J.S.; methodology, A.I.R.-F., S.L.D. and K.J.S.; validation, A.I.R.-F., S.L.D., E.D.B. and K.J.S.; formal analysis, E.D.B. and A.I.R.-F.; investigation, A.I.R.-F., S.L.D.; resources, K.J.S.; data curation, A.I.R.-F., S.L.D., E.D.B.; writing—original draft preparation, E.D.B., A.I.R.-F., S.L.D. and K.J.S.; writing—review and editing, E.D.B., A.I.R.-F., S.L.D. and K.J.S.; visualization, A.I.R.-F., S.L.D. and K.J.S.; supervision, K.J.S.; project administration, K.J.S.; funding acquisition, A.I.R.-F., S.L.D. and K.J.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partially funded by USDA-NIFA-OREI (Project Number: 8070-21000-008-16) and Xunta de Galicia-Plan 12 C-Modality A (Project Number: ED481B-2014/021-0). USDA is an equal opportunity provider and employer.

Institutional Review Board Statement

The animal protocol used in this study was approved by the Pennsylvania State University Institutional Animal Care and Use Committee guidelines (IACUC; protocol no. 46212).

Informed Consent Statement

Not applicable.

Data Availability Statement

Data will be made publicly available via Dryad Digital Repository within 30 months of publication per USDA-ARS guidelines.

Acknowledgments

The authors would like to thank C. Dell, M. Rubano, J. Everhart, R. Stout, and R. Tillman (USDA-ARS); J. MacAdam (Utah State University); and J. Dillon (Pennsylvania State University), for their laboratory expertise and time contributed to the project.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

CAN: 10% canola diet; CF, crude fat; CH4, methane; CT, condensed tannins; IACUC, Institutional Animal Care and Use Committee; MIX, 10% mixture of canola, soybean, and sunflower diet; OCH, orchardgrass; SL, sericea lespedeza; SOY, 10% soybean diet; SUN, 10% sunflower diet.

References

  1. Khan, M.Y.; Khan, F.; Haque, N. Global warming and stratospheric ozone layer depletion by greenhouse gases with special reference to methane production from Indian livestock. Anim. Nutr. Feed Technol. 2011, 1, 79–96. [Google Scholar]
  2. West, J.J.; Fiore, A.M. Management of Tropospheric Ozone by Reducing Methane Emissions. Environ. Sci. Technol. 2005, 39, 4685–4691. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Yusuf, R.O.; Noor, Z.Z.; Abba, A.H.; Hassan, M.A.A.; Din, M.F.M. Greenhouse gas emissions: Quantifying me-thane emissions from livestock. Am. J. Eng. Appl. Sci. 2012, 5, 1–8. [Google Scholar]
  4. Archibeque, S.; Haugen-Kozyra, K.; Johnson, K.; Kebreab, E.; Powers-Schilling, W. Near-Term Options for Reducing Greenhouse Gas Emissions from Livestock Systems in the United States: Beef, Dairy, and Swine Production Systems; Nicholas Institute for Environmental Policy Solutions, Duke University: Durham, NC, USA, 2012. [Google Scholar]
  5. Key, N.; Sneeringer, S. Climate change policy and the adoption of methane digesters on livestock operations. Econ. Res. Serv. USDA 2011. [Google Scholar] [CrossRef] [Green Version]
  6. Rochfort, S.; Parker, A.; Dunshea, F.R. Plant bioactives for ruminant health and productivity. Phytochemistry 2008, 69, 299–322. [Google Scholar] [CrossRef] [Green Version]
  7. Boadi, D.; Benchaar, C.; Chiquette, J.; Massé, D. Mitigation strategies to reduce enteric methane emissions from dairy cows: Update review. Can. J. Anim. Sci. 2004, 84, 319–335. [Google Scholar] [CrossRef]
  8. Cappucci, A.; Mantino, A.; Buccioni, A.; Casarosa, L.; Conte, G.; Serra, A.; Mannelli, F.; Luciano, G.; Foggi, G.; Mele, M. Diets supplemented with condensed and hydrolysable tannins affected rumen fatty acid profile and plasmalogen lipids, ammonia and methane production in an in vitro study. Ital. J. Anim. Sci. 2021, 20, 935–946. [Google Scholar] [CrossRef]
  9. Athanasiadou, S.; Kyriazakis, I.; Jackson, F.; Coop, R.L. Direct anthelmintic effects of condensed tannins towards different gastrointestinal nematodes of sheep: In vitro and in vivo studies. Veter. Parasitol. 2001, 99, 205–219. [Google Scholar] [CrossRef]
  10. Min, B.R.; Pinchak, W.E.; Anderson, R.C.; Fulford, J.D.; Puchala, R. Effects of condensed tannins supplementation level on weight gain and in vitro and in vivo bloat precursors in steers grazing winter wheat1. J. Anim. Sci. 2006, 84, 2546–2554. [Google Scholar] [CrossRef] [Green Version]
  11. Roca-Fernández, A.I.; Dillard, S.L.; Soder, K.J. Ruminal fermentation and enteric methane production of legumes containing condensed tannins fed in continuous culture. J. Dairy Sci. 2020, 103, 7028–7038. [Google Scholar] [CrossRef]
  12. Li, Y.; Iwaasa, A.D.; Wang, Y.; Jin, L.; Han, G.; Zhao, M. Condensed tannins concentration of selected prairie legume forages as affected by phenological stages during two consecutive growth seasons in western Canada. Can. J. Plant Sci. 2014, 94, 817–826. [Google Scholar] [CrossRef] [Green Version]
  13. Naumann, H.D.; Tedeschi, L.O.; Zeller, W.E.; Huntley, N.F. The role of condensed tannins in ruminant animal production: Advances, limitations and future directions. Rev. Bras. Zootec. 2017, 46, 929–949. [Google Scholar] [CrossRef] [Green Version]
  14. Bateman Ii, H.G.; Jenkins, T.C. Influence of Soybean Oil in High Fiber Diets Fed to Nonlactating Cows on Ruminal Unsaturated Fatty Acids and Nutrient Digestibility. J. Dairy Sci. 1998, 81, 2451–2458. [Google Scholar] [CrossRef]
  15. Kliem, K.E.; Humphries, D.J.; Kirton, P.; Givens, D.I.; Reynolds, C.K. Differential effects of oilseed supplements on methane production and milk fatty acid concentrations in dairy cows. Animals 2019, 13, 309–317. [Google Scholar] [CrossRef]
  16. Eugène, M.; Massé, D.; Chiquette, J.; Benchaar, C. Meta-analysis on the effects of lipid supplementation on methane production in lactating dairy cows. Can. J. Anim. Sci. 2008, 88, 331–337. [Google Scholar] [CrossRef]
  17. Rasmussen, J.; Harrison, A. The Benefits of Supplementary Fat in Feed Rations for Ruminants with Particular Focus on Reducing Levels of Methane Production. ISRN Veter-Sci. 2011, 2011, 613172. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Adejoro, F.A.; Hassen, A.; Akanmu, A.M. Effect of lipid-encapsulated acacia tannin extract on feed intake, nutrient digestibility, and methane emission in sheep. Animals 2019, 9, 863. [Google Scholar] [CrossRef] [Green Version]
  19. Soder, K.J.; Brito, A.F.; Rubano, M.D. Short communication: Effect of oilseed supplementation of an herbage diet on ruminal fermentation in continuous culture. J. Dairy Sci. 2013, 96, 2551–2556. [Google Scholar] [CrossRef] [PubMed]
  20. Beauchemin, K.A.; McGinn, S.M.; Benchaar, C.; Holtshausen, L. Crushed sunflower, flax, or canola seeds in lactating dairy cow diets: Effects on methane production, rumen fermentation, and milk production. J. Dairy Sci. 2009, 92, 2118–2127. [Google Scholar] [CrossRef]
  21. Vastolo, A.; Calabrò, S.; Pacifico, S.; Koura, B.I.; Cutrignelli, M.I. Chemical and nutritional characteristics of Cannabis sativa L. co-products. J. Anim. Physiol. Anim. Nutr. 2021, 105, 1–9. [Google Scholar] [CrossRef]
  22. Dillard, S.L.; Roca-Fernández, A.I.; Rubano, M.D.; Soder, K.J. Evaluation of a single-flow continuous culture fermenter system for determination of ruminal fermentation and enteric methane production. J. Anim. Physiol. Anim. Nutr. 2019, 103, 1313–1324. [Google Scholar] [CrossRef] [PubMed]
  23. Erwin, E.S.; Marco, G.J.; Emery, E.M. Volatile Fatty Acid Analyses of Blood and Rumen Fluid by Gas Chromatography. J. Dairy Sci. 1961, 44, 1768–1771. [Google Scholar] [CrossRef]
  24. Chaney, A.L.; Marbach, E.P. Modified Reagents for Determination of Urea and Ammonia. Clin. Chem. 1962, 8, 130–132. [Google Scholar] [CrossRef] [PubMed]
  25. AOAC International. Official Methods of Analysis, 18th ed.; AOAC International: Gaithersburg, MD, USA, 2006. [Google Scholar]
  26. Coblentz, W.K.; Abdelgadir, I.E.; Cochran, R.C.; Fritz, J.O.; Fick, W.H.; Olson, K.C.; Turner, J.E. Degradability of Forage Proteins by In Situ and In Vitro Enzymatic Methods. J. Dairy Sci. 1999, 82, 343–354. [Google Scholar] [CrossRef]
  27. Mertens, D.R. Gravimetric determination of amylase-treated neutral detergent fiber in feeds with refluxing in beakers or crucibles: Collaborative study. J. AOAC Int. 2002, 85, 1217–1240. [Google Scholar]
  28. Weiss, W.P. Predicting Energy Values of Feeds. J. Dairy Sci. 1993, 76, 1802–1811. [Google Scholar] [CrossRef]
  29. Grabber, J.H.; Zeller, W.E.; Mueller-Harvey, I. Acetone Enhances the Direct Analysis of Procyanidin- and Prodelphinidin-Based Condensed Tannins in Lotus Species by the Butanol–HCl–Iron Assay. J. Agric. Food Chem. 2013, 61, 2669–2678. [Google Scholar] [CrossRef]
  30. Liu, Y.; Jaworski, N.W.; Rojas, O.J.; Stein, H.H. Energy concentration and amino acid digestibility in high protein canola meal, conventional canola meal, and in soybean meal fed to growing pigs. Anim. Feed Sci. Technol. 2016, 212, 52–62. [Google Scholar] [CrossRef]
  31. Terrill, T.H.; Windham, W.R.; Evans, J.J.; Hoveland, C.S. Condensed tannin concentration in sericea lespedeza as influenced by preservation method. Crop Sci. 1990, 30, 219–224. [Google Scholar] [CrossRef]
  32. Salem, H.B.; Makkar, H.P.S.; Nefzaoui, A.; Hassayoun, L.; Abidi, S. Benefit from the association of small amounts of tannin-rich shrub foliage (Acacia cyanophylla Lindl.) with soya bean meal given as supplements to Barbarine sheep fed on oaten hay. Anim. Feed Sci. Technol. 2005, 122, 173–186. [Google Scholar] [CrossRef]
  33. Florou-Paneri, P.; Christaki, E.; Giannenas, I.; Bonos, E.; Skoufos, I.; Tsinas, A.; Tzora, A.; Peng, J. Alternative protein sources to soybean meal in pig diets. J. Food Agric. Environ. 2014, 12, 655–660. [Google Scholar]
  34. Giger-Reverdin, S.; Morand-Fehr, P.; Tran, G. Literature survey of the influence of dietary fat composition on methane production in dairy cattle. Livest. Prod. Sci. 2003, 82, 73–79. [Google Scholar] [CrossRef]
  35. Khorasani, G.R.; Robinson, P.H.; De Boer, G.; Kennelly, J.J. Influence of Canola Fat on Yield, Fat Percentage, Fatty Acid Profile, and Nitrogen Fractions in Holstein Milk. J. Dairy Sci. 1991, 74, 1904–1911. [Google Scholar] [CrossRef]
  36. Clapperton, J.L.; Czerkawski, J.W. Methane production and soluble carbohydrates in the rumen of sheep in relation to the time of feeding and the effects of short-term intraruminal infusions of unsaturated fatty acids. Br. J. Nutr. 1969, 23, 813–826. [Google Scholar] [CrossRef] [PubMed]
  37. Czerkawski, J.W. Fate of metabolic hydrogen in the rumen. Proc. Nutr. Soc. 1972, 31, 141–146. [Google Scholar] [CrossRef] [Green Version]
  38. Komkris, T.; Stanley, R.W.; Morita, K. Effect of Feeds Containing Molasses Fed Separately and Together with Roughage on Digestibility of Rations, Volatile Fatty Acids Produced in the Rumen, Milk Production, and Milk Constituents. J. Dairy Sci. 1965, 48, 714–719. [Google Scholar] [CrossRef]
  39. Storry, J.E.; Hall, A.J.; Johnson, V.W. The effects of increasing amounts of dietary tallow on milk-fat secretion in the cow. J. Dairy Res. 1973, 40, 293–299. [Google Scholar] [CrossRef]
  40. Palmquist, D.L.; Conrad, H.R. High Fat Rations for Dairy Cows. Effects on Feed Intake, Milk and Fat Production, and Plasma Metabolites. J. Dairy Sci. 1978, 61, 890–901. [Google Scholar] [CrossRef]
  41. Paula, E.M.; Monteiro, H.F.; da Silva, L.G.; Benedeti, P.D.B.; Daniel, J.L.P.; Shenkoru, T.; Broderick, G.A.; Faciola, A.P. Effects of replacing soybean meal with canola meal differing in rumen-undegradable protein content on ruminal fermentation and gas production kinetics using 2 in vitro systems. J. Dairy Sci. 2017, 100, 5281–5292. [Google Scholar] [CrossRef] [Green Version]
  42. Kowalczyk, J.; Ørskov, E.R.; Robinson, J.J.; Stewart, C.S. Effect of fat supplementation on voluntary food intake and rumen metabolism in sheep. Br. J. Nutr. 1977, 37, 251–257. [Google Scholar] [CrossRef] [Green Version]
  43. Hernandez-Urdaneta, A.; Coppock, C.E.; McDowell, R.E.; Gianola, D.; Smith, N.E. Changes in Forage-Concentrate Ratio of Complete Feeds for Dairy Cows. J. Dairy Sci. 1976, 59, 695–707. [Google Scholar] [CrossRef]
  44. Sutton, J.D.; Dhanoa, M.S.; Morant, S.V.; France, J.; Napper, D.J.; Schuller, E. Rates of Production of Acetate, Propionate, and Butyrate in the Rumen of Lactating Dairy Cows Given Normal and Low-Roughage Diets. J. Dairy Sci. 2003, 86, 3620–3633. [Google Scholar] [CrossRef] [Green Version]
  45. Kolver, E.S.; De Veth, M.J. Prediction of Ruminal pH from Pasture-Based Diets. J. Dairy Sci. 2002, 85, 1255–1266. [Google Scholar] [CrossRef]
  46. Grieshop, C.M.; Kadzere, C.T.; Clapper, G.M.; Flickinger, E.A.; Bauer, L.L.; Frazier, R.L.; Fahey, G.C. Chemical and Nutritional Characteristics of United States Soybeans and Soybean Meals. J. Agric. Food Chem. 2003, 51, 7684–7691. [Google Scholar] [CrossRef] [PubMed]
  47. Weaver, D.B.; Rodriguez-Kabana, R.; Cosper, B.H.; Akridge, R.L. Stonewall—A New Soybean Variety for Alabama; Alabama Agricultural Experiment Station, Auburn University: Auburn, AL, USA, 1989; Circular 295. [Google Scholar]
  48. Calsamiglia, S.; Stern, M.D.; Firkins, J.L. Effects of protein source on nitrogen metabolism in continuous culture and intestinal digestion in vitro. J. Anim. Sci. 1995, 73, 1819–1827. [Google Scholar] [CrossRef] [PubMed]
  49. Brito, A.; Broderick, G. Effects of Different Protein Supplements on Milk Production and Nutrient Utilization in Lactating Dairy Cows. J. Dairy Sci. 2007, 90, 1816–1827. [Google Scholar] [CrossRef] [PubMed]
Table 1. Chemical compositions of ingredients and diets fed during continuous culture fermentation.
Table 1. Chemical compositions of ingredients and diets fed during continuous culture fermentation.
ForageDiets 1
ItemUnitOrchardgrassSericea LespedezaCanolaSoybeanSunflowerCANSOYSUNMIX
CPg/kg DM348178246406139261277251263
RDPg/kg CP810323651807750574589584581
aNDFg/kg DM412460416172283434410421421
ADFg/kg DM222324290153243275261270268
Ligning/kg DM6510078229482768481
NFC 2g/kg DM118271-154139175190189175
NELMcal/kg DM1.51.33.63.22.61.71.61.51.6
Crude Fatg/kg DM502943721040479577670
CT 3g/kg DM3.7149.20.80.30.368.968.968.968.9
1 All diets comprised 45% orchardgrass and 45% sericea lespedeza. The remaining 10% was as follows: CAN = 10% ground canola seed, SOY = 10% ground soybean seed, SUN = 10% ground sunflower seed, and MIX = 3.33% ground canola, 3.33% ground soybean, and 3.33% ground sunflower seed. 2 Calculated as NFC (%) = 100 − [CP (%) + aNDF (%) + crude fat (%) + ash (%)]. 3 CT: condensed tannins.
Table 2. Nutrient digestibilities of four high-condensed-tannin herbage diets containing ground canola, soybean, sunflower seed, or a mix of the three oilseeds during continuous culture fermentation.
Table 2. Nutrient digestibilities of four high-condensed-tannin herbage diets containing ground canola, soybean, sunflower seed, or a mix of the three oilseeds during continuous culture fermentation.
ParameterDiet 1SEMp-Value
CANSOYSUNMIX
Apparent Digestibility
OM0.390.410.400.370.044>0.10
DM0.390.420.410.390.033>0.10
aNDF0.520.600.4530.540.032>0.10
ADF0.310.520.370.430.067>0.10
True Digestibility
OM0.810.810.780.840.039>0.10
DM0.650.670.630.680.032>0.10
1 All diets comprised 45% orchardgrass and 45% sericea lespedeza. The remaining 10% was as follows: CAN = 10% ground canola, SOY = 10% ground soybean, SUN = 10% ground sunflower, and MIX = 3.33% ground canola, 3.33% ground soybean, and 3.33% ground sunflower seed.
Table 3. Methane (CH4) output, volatile fatty acid (VFA) production, and fermentor pH of four high-condensed-tannin herbage diets containing ground canola, soybean, sunflower seed, or a mix of the three oilseeds during continuous culture fermentation. Molar proportions of specific VFAs are given as mols per 100 mols of total VFAs.
Table 3. Methane (CH4) output, volatile fatty acid (VFA) production, and fermentor pH of four high-condensed-tannin herbage diets containing ground canola, soybean, sunflower seed, or a mix of the three oilseeds during continuous culture fermentation. Molar proportions of specific VFAs are given as mols per 100 mols of total VFAs.
Diet 1
ItemUnitCANSOYSUNMIXSEMp-Value
CH4 production
Total CH4mg/d17.9 c84.3 a27.4 b13.4 c4.410.01
CH4/g OMmg/g0.2 b1.1 a0.4 b0.2 b0.790.01
CH4/g aNDFmg/g0.5 b2.5 a0.8 b0.4 b1.840.01
CH4/g digestible OMmg/g0.4 b1.6 a0.6 b0.3 b1.020.01
CH4/g digestible aNDFmg/g1.2 b4.1 a2.3 ab0.7 b2.290.02
VFA
Totalmmol/L38.33 b46.04 a37.52 b38.73 b1.056<0.001
Acetate (A)mol/100 mol66.7 c68.1 a67.3 b66.4 c0.20<0.001
Propionate (P)mol/100 mol22.8 a21.5 c22.3 b22.8 a0.18<0.001
Butyrate (B)mol/100 mol8.7 b8.7 b8.8 b9.1 a0.120.01
Isobutyratemol/100 mol0.3 a0.4 a0.3 b0.2 c0.0380.01
Valerate (V)mol/100 mol1.5 a1.3 c1.4 b1.5 a0.029<0.001
A/Pmol/100 mol2.93 c3.18 a3.02 b2.92 c0.032< 0.001
(A + B)/Pmol/100 mol3.31 c3.59 a3.42 b3.32 c0.036<0.001
(A + B)/(P + V)mol/100 mol3.12 c3.38 a3.22 b3.11 c0.031<0.001
pH
Mean pH 6.96 b6.83 c6.95 b7.01 a0.022<0.001
Max pH 7.50 a7.33 b7.52 a7.53 a0.035<0.001
Min pH 6.70 b6.58 c6.67 b6.77 a0.015<0.001
Nitrogen metabolism
N intakeg/d4.21 c4.42 a4.07 d4.24 b0.01<0.001
NH3-Nmg/dL17.318.417.416.61.13>0.10
N flows
Total Ng/d2.62.42.52.30.26>0.10
NH3-Ng/d0.740.780.740.710.034>0.10
Non-NH3-Ng/d1.81.61.71.60.28>0.10
a–d Means within a row with different superscripts differ (p < 0.05). 1 All diets comprised 45% orchardgrass and 45% sericea lespedeza. The remaining 10% was as follows: CAN = 10% ground canola seed, SOY = 10% ground soybean, SUN = 10% ground sunflower seed, and MIX = 3.33% ground canola, 3.33% ground soybean, and 3.33% ground sunflower seed.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Billman, E.D.; Dillard, S.L.; Roca-Fernández, A.I.; Soder, K.J. Supplementation of Oilseeds to an Herbage Diet High in Condensed Tannins Affects Methane Production with Minimal Impact on Ruminal Fermentation in Continuous Culture. Fermentation 2022, 8, 109. https://doi.org/10.3390/fermentation8030109

AMA Style

Billman ED, Dillard SL, Roca-Fernández AI, Soder KJ. Supplementation of Oilseeds to an Herbage Diet High in Condensed Tannins Affects Methane Production with Minimal Impact on Ruminal Fermentation in Continuous Culture. Fermentation. 2022; 8(3):109. https://doi.org/10.3390/fermentation8030109

Chicago/Turabian Style

Billman, Eric D., S. Leanne Dillard, Ana Isabel Roca-Fernández, and Kathy J. Soder. 2022. "Supplementation of Oilseeds to an Herbage Diet High in Condensed Tannins Affects Methane Production with Minimal Impact on Ruminal Fermentation in Continuous Culture" Fermentation 8, no. 3: 109. https://doi.org/10.3390/fermentation8030109

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop