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

Published online by Cambridge University Press:  28 July 2020

Rong Wang
Affiliation:
CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, People’s Republic of China
Min Wang*
Affiliation:
CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, People’s Republic of China
Bo Lin
Affiliation:
Department of Animal Science and Technology, University of Guangxi, Nanning, Guangxi 410128, People’s Republic of China
Zhi Yuan Ma
Affiliation:
CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, People’s Republic of China
Emilio M. Ungerfeld
Affiliation:
Centro Regional de Investigación Carillanca, Instituto de Investigaciones Agropecuarias (INIA), Temuco, La Araucanía 4880000, Chile
Ting Ting Wu
Affiliation:
Department of Animal Science and Technology, University of Guangxi, Nanning, Guangxi 410128, People’s Republic of China
Jiang Nan Wen
Affiliation:
CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, People’s Republic of China
Xiu Min Zhang
Affiliation:
CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, People’s Republic of China
Jin Ping Deng
Affiliation:
Guangdong Provincial Key Laboratory of Animal Nutrition Control, Subtropical Institute of Animal Nutrition and Feed, College of Animal Science, South China Agricultural University, Guangzhou, Guangdong 510642, People’s Republic of China
Zhi Liang Tan
Affiliation:
CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Hunan Research Center of Livestock and Poultry Sciences, Institute of Subtropical Agriculture, The Chinese Academy of Sciences, Changsha, Hunan 410125, People’s Republic of China
*
*Corresponding author: Min Wang, fax +86 7314612685, email mwang@isa.ac.cn
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Abstract

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

Type
Full Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society

Dietary fibre is important for promoting rumination and maintaining rumen health and also provides energy to the host animal for maintenance and production(Reference Zebeli, Ghareeb and Humer1,Reference Omidi-Mirzaei, Azarfar and Kiani2) . Fibre degradation in the rumen is a complex process that needs a wide range of micro-organisms to work as a consortium, including fungi, protozoa, bacteria and methanogens(Reference Jiao, Wang and He3,Reference Lengowski, Witzig and Möhring4) . Molecular hydrogen (H2) is formed during fermentation of carbohydrates to volatile fatty acids (VFA) and transferred to methanogens, which produce methane (CH4) as the end product(Reference Hungate5). Methanogenesis plays an important role in maintaining a low H2 partial pressure in the rumen, as elevated ruminal H2 is understood to inhibit fibre degradation in the rumen(Reference Wolin6,Reference Janssen7) . A previous study indicates that ruminal dissolved H2 (dH2) concentration can be closely associated with rumen fermentation and microbiota in dairy cows fed different types of carbohydrates(Reference Wang, Wang and Xie8). However, few studies have been conducted to investigate the association between ruminal dH2 concentration with fibre digestibility in ruminants.

Both Napier grass (NG, Pennisetum purpureum) and corn stover (CS, Zea mays) are important forage sources for ruminant production in subtropical areas. NG has a flat, smooth, rigid, regular and compact surface structure. The cell wall of NG is formed of crystalline cellulose(Reference Daud, Mohd Hatta and Mohd Kassim9), which is highly resistant to chemical and biological hydrolysis(Reference Himmel, Ding and Johnson10). CS contains 30–46 % fermentable carbohydrates. The fibre of CS silage has a coarse surface with fibre delamination, which increases the ratio of external:internal-specific surface area, which benefits microbial colonisation and enzymatic attack(Reference Li, Zhai and Zhang11).

We hypothesised that NG and CS silage would have different ruminal fibre degradation extents and patterns, and replacing the less digestible fibre source by the more digestible one would alter rumen fermentation and microbiota, which might be associated with ruminal dH2 concentration. In vitro batch cultures were firstly performed to compare ruminal fibre degradation, H2 and CH4 production of these two selected forages. Once established which fibre source was more digestible, an in vivo study was then performed to compare fibre digestibility, rumen fermentation and the abundance of microbial groups in growing beef bulls fed NG or CS diets.

Experimental methods

All procedures involving animals were approved by the Animal Care Committee (approval number ISA-W-201801), Institute of Subtropical Agriculture, the Chinese Academy of Sciences, Changsha, China.

Forages

CS was harvested 90 d after sowing and immediately after grain harvest. CS was chopped with a chaff cutter (Guangzhou State Machinery Equipment Co. Ltd) to 4 cm, ensiled in polyethylene bags (Wenzhou Quanyu Packing Co. Ltd) and compressed to remove the air. NG (Pennisetum purpureum) was harvested after 90 d of regrowth, ensiled in polyethylene bags and compressed to remove the air. After 2 months, samples of NG and CS silage were randomly collected from ten bags and dried at 65°C for 24 h. Samples of both silages were analysed for chemical composition (Table 1), used as a substrate in in vitro ruminal batch cultures and scanned with an electron microscope.

Table 1. Chemical composition (expressed in g/kg of DM unless otherwise indicated) of Napier grass (NG) and corn stover (CS) silage

OM, organic matter; CP, crude protein; NDF, neutral-detergent fibre; NDIN, neutral-detergent insoluble N; ADF, acid-detergent fibre; ADIN, acid-detergent insoluble N.

In vitro ruminal batch incubation

Approximately 200 g samples of both dried forages were collected for in vitro ruminal batch incubations. One 100 g subsample was ground with a multi-functional pulverizer and then screened through a 1 mm stainless steel flour sieve. Approximately 1·0 g was weighed into each of 150 ml serum bottles for the investigation of in vitro fibre degradation and gas production. The other 100 g subsample was carefully cut to a length of 2 cm, and about 1·0 g was weighed into 150 ml serum bottles for the investigation of changes in the fibre structure before and after incubation by using scanning electron microscopy (SEM). In vitro ruminal incubations were performed in a fully automatic in vitro batch culture system as described by Wang et al. (Reference Wang, Wang and Yang12), with artificial saliva prepared according to Menke et al. (Reference Menke, Raab and Salewski13). The incubation was stopped at 48 h. Apparent in vitro degradation of chemical fractions was determined based on the contents of each fraction in the substrates incubated and the undigested residues after the 48-h in vitro incubation. The samples for obtaining SEM images were firstly filtered into Gooch filter crucibles to exclude small particles, dried at 105°C for 24 h and then stored in 50 ml sterile centrifuge tubes for further processing. Three runs of incubation were conducted. Two replicates per substrate were included in each incubation run.

Animal trial

Animals and diets

The experiment was conducted at the beef cattle farm of Guangxi Huisheng animal husbandry development Co. Ltd. Twenty-four healthy Limousin (sire) × (Aberdeen Angus (sire) × Simmental (dam)) crossbred growing beef bulls with an average body weight of 320 (SD 16·1) kg and 1·5 (SD 0·18) years old at the beginning of the experiment were used. Animals were allocated to twelve blocks according to body weight and DM intake (DMI) measured in a preliminary experiment. Each block contained two animals, and one animal within each block was randomly assigned to one of the two diets. The CS diet was formulated by replacing 55 % NG silage with 55 % CS silage (DM basis). The diets were formulated to meet appropriately 1·2–1·3 times the digestible energy and crude protein requirements of growing beef bulls according to Zhang & Zhang(Reference Zhang and Zhang14) (Table 2).

Table 2. Ingredients and chemical composition of the Napier grass (NG) and corn stover (CS) diets (g/kg DM)

OM, organic matter; CP, crude protein; NDF, neutral-detergent fibre; ADF, acid-detergent fibre; NEm, net energy for maintenance; NEf, net energy for fattening.

* The premix (vitamins and microelements) was formulated to provide (per kg of DM) 1 000 000 IU of vitamin A, 200 000 IU of vitamin D, 1250 IU vitamin E, 8000 mg of Zn, 80 mg of Se, 120 mg of I, 2000 mg of Fe, 40 mg of Co, 2500 mg of Mn, and 2000 mg of Cu.

Mean values from the analysis of three samples.

NEm and NEf were calculated according to Feng(Reference Feng44). To convert Mcal to MJ, multiply by 4·184.

Bulls were housed in a tie-stall barn and fed individually two equal meals at 09.00 and 16.00 hours. Free access to fresh water was provided throughout the experiment. The experimental period lasted for 70 d, with 60 d of adaptation to the diets and the last 10 d for sampling and data collection, including 5 d for total faeces collection, 2 d for collecting rumen samples and 4 d for measuring body weight. Feed was offered ad libitum targeting 5 % refusals during the initial 10 d of the adaption period to estimate DMI. The amount of feed offered daily thereafter was set at 105 % of the previously measured DMI to minimise diet selection. The refusals were collected and analysed to calculate nutrient intake. All of the experimental bulls’ health conditions and DMI were recorded daily throughout the experiment to ensure that there was no clinical signs of possible metabolic disorders.

Nutrient digestibility

Feeds, refusals and faecal samples were collected daily from d 61 to 65. Total faeces were collected, weighed and mixed daily. A subsample (1 %, w/w) was acidified with H2SO4 (10 %, w/w) to prevent N loss and frozen immediately at –20°C. Another non-acidified subsample (1 %, w/w) was frozen immediately at –20°C. All the samples were dried at 65°C for 24 h in a forced-air oven and ground through a 1 mm screen for subsequent analysis of chemical composition. The acidified samples were used for total N analysis, and non-acidified samples were used for the rest of the chemical analyses.

Rumen sampling

The collection of rumen contents was performed on d 66 and 67 at 2·5 h after the morning feeding. The first 150 ml of rumen contents was discarded to avoid saliva contamination(Reference Wang, Wang and Janssen15). Then, about 300 ml of rumen contents was taken from the central rumen using the oral stomach tubing technique. About 20 ml of sampled rumen contents was used for immediately measuring pH with a portable pH meter (Starter 300; Ohaus Instruments Co. Ltd). Three 50 ml subsamples were immediately frozen in liquid N2 and stored at –80°C for DNA extraction for microbial abundance analyses. Two 35 ml rumen content subsamples were immediately transferred to 50 ml plastic syringes for measuring dH2 and dissolved CH4 (dCH4) concentrations(Reference Wang, Sun and Janssen16). Three more 5 ml subsamples of rumen contents samples were collected and centrifuged at 12 000 g for 10 min at 4°C, and 1·5 ml of supernatant was acidified with 0·15 ml of metaphosphoric acid (25 %, w/v) and stored at –20°C for subsequent measurement of VFA and ammonium concentrations.

Proximate analyses

Contents of DM (method 945.15), OM (method 942.05) and crude protein (method 945.01, total N × 6·25) were analysed using the methods of AOAC(17). Neutral-detergent fibre and acid-detergent fibre contents were determined according to Van Soest et al. (Reference Van Soest, Robertson and Lewis18) with inclusion of a heat stable α-amylase and sodium sulphite and were expressed with residual ash. Gross energy was determined with the use of an isothermal automatic calorimeter (5E-AC8018; Changsha Kaiyuan Instruments Co.). Starch content was measured using amyloglucosidase as described by Karthner & Theurer(Reference Karthner and Theurer19). Neutral-detergent insoluble N and acid-detergent insoluble N content were measured as described by Licitra et al. (Reference Licitra, Hernandez and VanSoest20).

The images of fibre structure were obtained by field emission using SEM (model SU8010), according to the manufacturer’s instructions. Briefly, the same site of the stem in each forage was selected and coated with gold before scanning by SEM(Reference Zhang, Wang and Wang21).

Dissolved gases were extracted from the liquid phase of rumen contents into the gas phase using the procedure by Wang et al. (Reference Wang, Sun and Janssen16). Gas samples in the gas phase were collected in evacuated tubes for measuring H2 and CH4 concentrations using a gas chromatograph (Agilent 7890A, Agilent Inc.)(Reference Wang, Wang and Janssen15). Concentrations of dH2 and dCH4 in the original liquid fraction were calculated using the equations by Wang et al. (Reference Wang, Wang and Janssen15).

Individual VFA concentrations were analysed by GC (Agilent 7890A, Agilent Inc.) according to Wang et al. (Reference Wang, Sun and Janssen16). Ammonium concentration was analysed according to Weatherburn(Reference Weatherburn22).

DNA extraction and quantification of microbial groups

Genomic DNA was extracted from 1 ml of rumen contents by physical disruption using a bead beater, according to the protocol described by Yu & Morrison(Reference Yu and Morrison23), with the exception that DNA was purified with phenol–chloroform–isopentyl alcohol (25:24:1 v/v, Solarbio Co.). Isopentyl alcohol was removed with vacuum. DNA was then dissolved into TE buffer (TRIS 10 mm, EDTA 1 mm, pH = 8·0) after being washed with 70 % ethanol twice. The quality of the DNA extracts was assessed using agarose gel (0·8 %) electrophoresis. Total DNA extracted was quantified with Nano Drop ND1000 (NanoDrop Technologies, Inc.) and then stored at –80°C until further analyses(Reference Jiao, Lu and Tan24).

Total DNA was then diluted to 10 ng/μl to quantify selected groups of micro-organisms, including total bacteria, protozoa, fungi and methanogens, Ruminococcus albus, Ruminococcus flavefaciens, Fibrobacter succinogenes, Selenomonas ruminantium, Prevotella ruminicola and the genus Prevotella spp. (online Supplementary Table S1). Quantitative PCR was performed according to Jiao et al. (Reference Jiao, Lu and Tan24) and expressed as log10 copies of 16S or 18S rRNA genes per ml rumen contents.

Statistical analyses

The effects of substrate or diet on response variables in vitro and in vivo were analysed by using the SPSS 21.0 software (SPSS Inc.). The in vitro data were analysed using the general linear model procedure with the following model:

$${Y_{ijk}} = \mu + {S_i} + {R_j} + {e_{ijk}}$$

where μ is the overall mean, S i is the fixed effect of substrates (i = 2, NG or CS silage), R j is the random effect of the incubation run (j = 3) and e ijk is the random error term.

The in vivo data were also analysed using the procedure of general linear model with the following model:

$${Y_{ijk}} = \mu + {D_i} + {B_j} + {e_{ijk}}$$

where μ is the overall mean, D i is the fixed effect of diets (i = 2, NS and CS diets), B j is the random effect of the block (j = 12) and e ijk is the random error term.

The associations of dH2 concentration and diet with various fermentation and microbiological variables were studied using the RStudio software (R × 64 3.5.0) with the following model(Reference Horton and Kleinman25):

$$Y = {\beta _0} + {\beta _1}{X_1} + {\beta _2}{X_2} + {\beta _3}{X_1}{X_2} + \varepsilon $$

where Y is the neutral-detergent fibre (NDF) digestibility, dCH4 is the concentration or selected microbial groups, β 0 is the intercept, X 1 and X 2 are the main effects of dH2 concentration and diet, respectively, β 1 to β 2 are the regression coefficients of dH2 concentration and diet, respectively, X 1 X 2 is the interaction between dH2 concentration and diet, β 3 is the regression coefficient of the interaction term and ε is the random error. The point belonging to the CS diet with ‘dH2 = 0·83 μm’ was identified as an outlier by the Dixon Q test of the Data Processing System (DPS) software (version 15.10) and was excluded from the analyses but it is still depicted in graphs(Reference Rorabacher26).

Linear regression was performed by using RStudio software (R × 64 3.5.0) to obtain the correlation coefficients (R 2) and their statistical significance. Statistical significance of effects was declared at P ≤ 0·05 and a tendency towards significance at 0·05 < P ≤ 0·10.

Results

CS silage had greater in vitro digestibility (P < 0·001) of DM, NDF and acid-detergent fibre, total gas (P = 0·004) and CH4 volume (P = 0·03), and lower H2 volume (P < 0·001), in comparison with NG silage (Table 3). The SEM images showed that the CS silage had greater density of hairy appendages than the NG silage before the in vitro ruminal incubation, with the surface of both NG and CS silages appearing smooth, intact and contiguous (Fig. 1(a) and (b)). After 48-h in vitro rumen incubation, the hairy appendages disappeared from the CS silage and the CS silage seemed to have more small holes than the NG silage (Fig. 1(c) and (d)).

Table 3. Substrate degradation and gas production of Napier grass (NG) or corn stover (CS) silage during 48-h in vitro ruminal batch incubation

(Mean values with their standard errors)

NDF, neutral-detergent fibre; ADF, acid-detergent fibre.

Fig. 1. Scanning electron microscopy images (scale bar = 100 μm) of Napier grass (a and c) or corn stover (b and d) silage before (a and b) and after (c and d) 48-h in vitro ruminal incubation.

Bulls fed the CS diet had greater OM (P = 0·03), crude protein (P < 0·001) and gross energy (P = 0·002) intake, lower NDF (P = 0·03) and acid-detergent fibre intake (P < 0·001), and higher daily weight gain (P = 0·03), than those fed the NG diet (Table 4). Bulls fed the CS diet had greater digestibility of OM (P = 0·002), NDF (P = 0·048) and starch (P = 0·02), and lower digestibility of crude protein (P = 0·004) than those fed the NG diet.

Table 4. Feed intake and total-tract apparent digestibility and growth performance in bulls fed the Napier grass (NG) or corn stover (CS) diets

(Mean values with their standard errors)

OM, organic matter; CP, crude protein; NDF, neutral-detergent fibre; ADF, acid-detergent fibre; GE, gross energy.

The Dixon Q test identified a point with ‘dH2 = 0·83 μm’ as an outlier for the CS diet. The outlier was removed from all of the analyses. Bulls fed the CS diet had lower ruminal dH2 concentration (P < 0·001), molar proportion of valerate (P = 0·02) and isovalerate (P = 0·02), and greater dCH4 concentration (P < 0·001), and tended to increased molar proportion of butyrate (P = 0·07), compared with those fed the NG diet (Table 5). There was an interaction between dH2 and diet on NDF digestibility (P = 0·006, Table 6), with a negative correlation between dH2 concentration and NDF digestibility in bulls fed the CS diet (R 2 0·48, P = 0·02) and no relationship in their counterparts fed the NG diet (R 2 < 0·01, P = 0·90; Fig. 2). Ruminal dH2 concentration did not have an association with dCH4 concentration in each diet separately (Fig. 3).

Table 5. Concentrations of dissolved gases and fermentation end products in the rumens of bulls fed the Napier grass (NG) or corn stover (CS) diets

(Mean values with their standard errors)

dCH4, dissolved methane; dH2, dissolved hydrogen; VFA, volatile fatty acids.

Table 6. Initial regression equations depicting the associations of diet and ruminal dissolved hydrogen (dH2) concentration, and their interaction, with neutral-detergent fibre (NDF) digestibility, dissolved methane (dCH4) concentration and selected microbial groups in growing beef bulls fed the Napier grass (NG) or corn stover (CS) diets

* Terms in parentheses after the regression coefficient estimates are standard errors and regression coefficient P values. The outlier (dH2 = 0·83 μm) identified by the Dixon Q test was excluded from all of the analyses, n 23.

R 2, coefficient of determination of the multiple regression models.

P value, statistical significance of the overall models.

§ Main effect of the NG diet.

Regression coefficients for interaction terms are equal to zero for the CS diet.

Fig. 2. Association of neutral-detergent fibre (NDF) digestibility with ruminal dissolved hydrogen (dH2) in bulls fed the Napier grass (NG) or corn stover (CS) diets. The green and red points and solid lines represent the best regression lines fitted using observations each diet separately. NG (green): y = 529·54 (±22·61; P < 0·001) – 3·86 (±28·39; P = 0·90) dH2; R 2 < 0·01, n 12; CS (red): y = 647·80 (±30·59; P < 0·001) – 344·31 (±120·48; P = 0·02) dH2; R 2 0·48, n 11. Equations contain regression coefficients, standard errors and P values and are expressed as regression coefficients with their standard errors. Each point represents an individual animal, with ⊕ being an outlier (dH2 = 0·83 μm) identified by the Dixon Q test and excluded from the analysis. Note the effect of diet by dH2 interaction is shown in Table 6.

Fig. 3. Association of ruminal dissolved methane (dCH4) with ruminal dissolved hydrogen (dH2) in bulls fed the Napier grass (NG) or corn stover (CS) diets. The green and red points and solid lines represent the best regression lines fitted using observations from each diet separately. NG (green): y = 0·54 (±0·06; P < 0·001) + 0·01 (±0·08; P = 0·89) dH2; R 2 < 0·01, n 12; CS (red): y = 0·66 (±0·07; P < 0·001) + 0·09 (±0·29; P = 0·76) dH2; R 2 = 0·01, n 11. Equations contain regression coefficients, standard errors and P values, and are expressed as regression coefficients with their standard errors. Each point represents an individual animal, with ⊕ being an outlier (dH2 = 0·83 μm) identified by the Dixon Q test and excluded from the analysis. Note the effect of diet by dH2 interaction is shown in Table 6.

Bulls fed the CS diet had greater log 18S rRNA gene copies of protozoa (P = 0·001) and log 16S rRNA gene copies of S. ruminantium (P = 0·05), R. albus (P = 0·001), R. flavefaciens (P = 0·005) and methanogens (P = 0·003) and tended to increased total bacteria (P = 0·06), fungi (P = 0·08) and Prevotella spp. (P = 0·07) per ml of rumen fluid (Table 7). There was an interaction between dH2 and diet on 18S rRNA protozoal gene copies (P = 0·03, Table 6), with no association at the relatively lower dH2 concentration of the NG diet (R 2 = 0·08, P = 0·37) and a positive association with dH2 at the higher dH2 concentration of the CS diet (R 2 0·45, P = 0·02; Fig. 4). Ruminal dH2 concentration did not correlate (P > 0·10) with the 16S gene copies of methanogens, fungi, R. flavefaciens or R. albus per ml of rumen fluid in each diet separately (Fig. 4).

Table 7. Selected microbial groups (log10 gene copies per ml rumen content) in the rumens of bulls fed the Napier grass (NG) or corn stover (CS) diets

(Mean values with their standard errors)

Fig. 4. Associations of ruminal 16S rRNA gene copies of selected microbial groups with ruminal dissolved hydrogen (dH2) in bulls fed the Napier grass (NG) or corn stover (CS) diets. The green and red points and solid lines represent the best regression lines fitted using observations from the NG (n 12) and the CS (n 11) diets fitted separately. (a) NG (green): y = 9·91 (±0·25; P < 0·001) + 0·29 (±0·31; P = 0·37) dH2, R 2 0·08, n 12; CS (red): y = 10·93 (±0·16; P < 0·001) – 1·73 (±0·64; P = 0·02) dH2, R 2 0·45, n 11. (B) NG (green), y = 8·40 (±0·15; P < 0·001) + 0·003 (±0·19; P = 0·99) dH2, R 2 < 0·01, n 12; CS (red): y = 8·86 (±0·14; P < 0·001) – 0·94 (±0·54; P = 0·12) dH2, R 2 = 0·25, n 11. (C) NG (green) y = 7·36 (±0·38; P < 0·001) + 0·07 (±0·48; P = 0·89) dH2, R 2 < 0·01, n 12; CS (red) y = 8·18 (±0·34; P < 0·001) – 1·80 (±1·33; P = 0·21) dH2, R 2 = 0·17, n 11. (D) NG (green), y = 8·20 (±0·32; P < 0·001) + 0·22 (±0·40; P = 0·60) dH2, R 2 = 0·03, n 12; CS (red): y = 9·20 (±0·21; P < 0·001) – 1·42 (±0·83; P = 0·12) dH2, R 2 = 0·25, n 11. (E) NG (green): y = 8·33 (±0·21; P < 0·001) – 0·001 (±0·26; P = 0·99) dH2, R 2 < 0·01, n 12; CS (red): y = 8·72 (±0·20; P < 0·001) – 0·38 (±0·79; P = 0·65) dH2, R 2 = 0·02, n 11. Equations contain regression coefficients, standard errors and P values, and are expressed as regression coefficients with their standard errors. Each point represents an individual animal, with ⊕ being an outlier (dH2 = 0·83 μm) identified by the Dixon Q test and excluded from the analysis. Note the effect of diet by dH2 interaction is shown in Table 6.

Discussion

DMI of the CS diet was greater than that of the NG diet, which is in agreement with a previous study by Ruiz et al. (Reference Ruiz, Sanchez and Staples27). Increased DMI is associated with increased passage rate, which can result in less rumen degradation if not compensated by greater rumen degradation rate or lower tract digestion(Reference Allen28). However, feeding the CS diet resulted in greater total-tract DM digestibility compared with feeding the NG diet, which makes us think that greater digestion rates with the CS diet might have allowed greater DMI. The CS diet had lower NDF content and greater in vitro NDF degradation than the NG diet. Lower fibre content and greater fibre degradation decrease rumen fill with increased outflow of ruminal digesta(Reference Allen28), which might explain the greater DMI and daily weight gain in bulls fed the CS diet.

The fibre structure of CS silage differed from that of NG silage. Differences in fibre structure can be related to a vast range of biochemical compounds(Reference Elleuch, Bedigian and Roiseux29,Reference Foschia, Peressini and Sensidoni30) . From a structural point of view, CS silage had a greater density of hairy appendages than NG silage, which might provide more sites for microbial attachment and colonisation. Both in vitro and in vivo experiments indicated that the CS silage had greater NDF degradability than the NG silage. It seems that the fibre of the CS silage was easier to degrade by the mixed ruminal microbiota. In agreement, the SEM images showed that the CS silage had greater disruption and physical changes than the NG silage after 48-h in vitro rumen incubation.

Hydrogen is generated during fermentation of carbohydrates to VFA and mostly utilised by ruminal methanogens to produce CH4 (Reference Janssen7,Reference van Lingen, Plugge and Fadel31) . Maintenance of a low ruminal dH2 concentration facilitates carbohydrate degradation(Reference McAllister and Newbold32). Ruminal dH2 concentration can be affected by many factors, such as the rate of H2 generation, the saturation factor of dH2 and the rate of H2 utilisation for methanogenesis. When the rate of H2 generation is greater than H2 utilisation, H2 accumulates. In our in vitro study, CS silage was more degraded and fermented than NG silage, which would be thought to lead to increased H2 production(Reference Janssen7). However, CS silage had lower in vitro H2 gas volume with greater in vitro CH4 gas volume in comparison with NG silage. Furthermore, feeding the CS diet resulted in lower ruminal dH2 concentration compared with feeding the NG diet. This might be due to the enhanced capacity of ruminal H2 utilisation by methanogens in bulls fed the CS diet(Reference Janssen7), which is consistent with the greater dCH4 concentration and 16S rRNA gene copies of methanogens observed in bulls fed the CS diet. Enhancement of methanogenesis results in lower ruminal dH2 concentration(Reference Janssen7) and thus facilitates the re-oxidation of reduced electron carriers, like NADH, leading to an enhancement of microbial ATP generation and fibre degradation in the rumen(Reference Ungerfeld33,Reference Wolin, Miller, Stewart, Hobson and Stewart34) . This proposed mechanism agrees with the negative association of NDF digestibility with dH2 observed for the CS diet and suggests that the low dH2 concentration may have facilitated ruminal fibre degradation in bulls fed the CS diet. On the other hand, even though the range of dH2 concentration observed with NG was higher compared with CS, dH2 concentration did not correlate to NDF digestibility with the NG diet, and thus an inhibitory effect of dH2 on fibre digestion was not apparent with the NG diet. It is possible that in the less digestible NG diet, other aspects related to the forage structure (Fig. 1) limited NDF digestibility, rather than dH2 concentration. Lower dH2 concentration with the CS diet would have been the result of enhanced methanogenesis(Reference Janssen7), although the mechanisms by which feeding the CS diet could have affected methanogens are unknown.

Although the CS diet had greater fibre digestibility than the NG diet, both diets resulted in similar ruminal pH and VFA concentration. It is well known that VFA concentration is not only determined by VFA production but also by VFA absorption, passage, incorporation into microbial biomass and changes in rumen volume(Reference Dijkstra, Boer and Vanbruchem35Reference Hall, Nennich and Doane37). Furthermore, feeding the CS diet resulted in greater butyrate molar percentage in the rumen. As protozoa are butyrate producers(Reference Morgavi, Martin and Jouany38), it is possible that the increased protozoa population in bulls fed the CS diet could have contributed to the greater butyrate percentage.

Ruminal fibre degradation requires a complex consortium of micro-organisms. Anaerobic fungi are primary colonisers of plant fibre that physically open plant tissues for subsequent colonisation by fibrolytic bacteria(Reference Edwards, Kingston-Smith and Jimenez39,Reference Belanche, Doreau and Edwards40) . Feeding the CS diet resulted in greater numbers of bacteria, fungi, protozoa and R. albus and R. flavefaciens 16S and 18 rRNA gene copies, in comparison with feeding the NG diet. It seems that feeding the CS diet favoured the colonisation and growth of fibre degraders, such as fungi, R. albus and R. flavefaciens, and possibly some protozoa(Reference Newbold, de la Fuente and Belanche41). Fibre degradation generally increases H2 production. Greater removal of H2 by methanogens, resulting in lower dH2 concentration, can favour the growth of H2 producers(Reference Janssen7). However, we did not find relationships between dH2 concentration and the abundance of fibre degraders; thus, the negative association of dH2 concentration with fibre degradation found for the CS diet may be related to other fibrolytic micro-organisms not determined in this study.

Methanogens are the most important H2 utilisers in the rumen, maintaining a low H2 partial pressure. We observed a significant effect of the diet, which was not associated with dH2, on methanogens 16S rRNA gene copies. These results indicate that fibre source was the main factor to influence growth of methanogens, and dH2 concentration was probably a result of the rate of methanogenesis(Reference Janssen7). Some methanogens are symbiotic of protozoa(Reference Morgavi, Martin and Jouany38,Reference Tokura, Chagan and Ushida42,Reference Lewis, Sendra and Embley43) , which were more abundant with the CS diet. It is possible that fibre in the CS diet provided more sites for the colonisation and growth of protozoa, which could have favoured the growth of methanogens.

Conclusion

Bulls fed the CS diet had greater DMI, NDF digestion and average daily gain than those fed the NG diet. Fibre in CS silage provided more sites for colonisation by rumen micro-organisms, which probably favoured the growth of fibre degraders and resulted in greater ruminal fibre degradation and increased dCH4 concentration compared with NG silage. Such enhancement of methanogenesis with CS probably decreased ruminal dH2 concentration, which might have contributed to increased fibre degradation and growth of fibrolytic micro-organisms. Fibre degradation of the NG diet was unrelated to dH2 concentration and may have been influenced more by structural factors.

Acknowledgements

The authors thank the National Key Research and Development Program of China (grant no. 2018YFD0501800 and 2016YFD0500504), National Natural Science Foundation of China (grant no. 31922080 and 31561143009), CAS President’s International Fellowship (grant no. 2018VBA0031) and the Major Project for Science and Technology of Hunan Province (grant no. 2017NK1020) for the joint financial support.

R. W., M. W., B. L., Z. Y. M., T. T. W., J. N. W. and X. M. Z. conducted the research; R. W. and M. W. analysed the data; R. W., M. W., E. M. U., J. P. D. and Z. L. T. wrote and revised the paper; R. W. and M. W. designed the research and had primary responsibility for the final content. All authors read and approved the final manuscript.

The authors declare that they have no conflicts of interest.

Supplementary material

For supplementary material referred to in this article, please visit https://doi.org/10.1017/S0007114520002962

References

Zebeli, Q, Ghareeb, K, Humer, E, et al. (2015) Nutrition, rumen health and inflammation in the transition period and their role on overall health and fertility in dairy cows. Res Vet Sci 103, 126136.CrossRefGoogle ScholarPubMed
Omidi-Mirzaei, H, Azarfar, A, Kiani, A, et al. (2018) Interaction between the physical forms of starter and forage source on growth performance and blood metabolites of Holstein dairy calves. J Dairy Sci 101, 60746084.CrossRefGoogle ScholarPubMed
Jiao, J, Wang, P, He, Z, et al. (2014) In vitro evaluation on neutral detergent fiber and cellulose digestion by post-ruminal microorganisms in goats. J Sci Food Agric 94, 17451752.CrossRefGoogle ScholarPubMed
Lengowski, MB, Witzig, M, Möhring, J, et al. (2016) Effects of corn silage and grass silage in ruminant rations on diurnal changes of microbial populations in the rumen of dairy cows. Anaerobe 42, 616.CrossRefGoogle ScholarPubMed
Hungate, R (1967) Hydrogen as an intermediate in the rumen fermentation. Arch Mikrobiol 59, 158164.CrossRefGoogle ScholarPubMed
Wolin, MJ (1979) The rumen fermentation: a model for microbial interactions in anaerobic ecosystems. Adv Microb Ecol 3, 4977.CrossRefGoogle Scholar
Janssen, PH (2010) Influence of hydrogen on rumen methane formation and fermentation balances through microbial growth kinetics and fermentation thermodynamics. Anim Feed Sci Technol 160, 122.CrossRefGoogle Scholar
Wang, M, Wang, R, Xie, TY, et al. (2016) Shifts in rumen fermentation and microbiota are associated with dissolved ruminal hydrogen concentrations in lactating dairy cows fed different types of carbohydrates. J Nutr 146, 17141721.CrossRefGoogle ScholarPubMed
Daud, Z, Mohd Hatta, MZ, Mohd Kassim, AS et al. (2014) Analysis of Napier grass (Pennisetum purpureum) as a potential alternative fibre in paper industry. Mater Res Innov 18, S6-18S16-20.CrossRefGoogle Scholar
Himmel, ME, Ding, SY, Johnson, DK, et al. (2007) Biomass recalcitrance: engineering plants and enzymes for biofuels production. Science 315, 804807.CrossRefGoogle ScholarPubMed
Li, Z, Zhai, H, Zhang, Y, et al. (2012) Cell morphology and chemical characteristics of corn stover fractions. Ind Crops Prod 37, 130136.CrossRefGoogle Scholar
Wang, M, Wang, R, Yang, S, et al. (2016) Effects of three methane mitigation agents on parameters of kinetics of total and hydrogen gas production, ruminal fermentation and hydrogen balance using in vitro technique. Anim Sci J 87, 224232.CrossRefGoogle ScholarPubMed
Menke, KH, Raab, L, Salewski, A, et al. (1979) Estimation of the digestibility and metabolizable energy content of ruminant feeding stuffs from the gas production when they are incubated with rumen liquor in vitro . J Agric Sci 93, 217222.CrossRefGoogle Scholar
Zhang, HF & Zhang, ZY (1998) Animal Nutrition Parameters and Feeding Standard. Beijing: China Agriculture Press.Google Scholar
Wang, M, Wang, R, Janssen, PH, et al. (2016) Sampling procedure for the measurement of dissolved hydrogen and volatile fatty acids in the rumen of dairy cows. J Anim Sci 94, 11591169.CrossRefGoogle ScholarPubMed
Wang, M, Sun, XZ, Janssen, PH, et al. (2014) Responses of methane production and fermentation pathways to the increased dissolved hydrogen concentration generated by eight substrates in in vitro ruminal cultures. Anim Feed Sci Technol 194, 111.CrossRefGoogle Scholar
AOAC (1995) Official Methods of Analysis, 16th ed. Arlington, VA: Association of Official Analytical Chemists.Google Scholar
Van Soest, P, Robertson, J & Lewis, B (1991) Symposium: carbohydrate methodology, metabolism, and nutritional implications in dairy cattle. J Dairy Sci 74, 35833597.CrossRefGoogle Scholar
Karthner, RJ & Theurer, B (1981) Comparison of hydrolysis methods used in feed, digesta, and fecal starch analysis. J Agric Food Chem 29, 811.CrossRefGoogle ScholarPubMed
Licitra, G, Hernandez, TM & VanSoest, PJ (1996) Standardization of procedures for nitrogen fractionation of ruminant feeds. Anim Feed Sci Technol 57, 347358.CrossRefGoogle Scholar
Zhang, XM, Wang, M, Wang, R, et al. (2018) Urea plus nitrate pretreatment of rice and wheat straws enhances degradation and reduces methane production in in vitro ruminal culture. J Sci Food Agric 98, 52055211.CrossRefGoogle ScholarPubMed
Weatherburn, M (1967) Phenol-hypochlorite reaction for determination of ammonia. Anal Chem 39, 971974.CrossRefGoogle Scholar
Yu, Z & Morrison, M (2004) Improved extraction of PCR-quality community DNA from digesta and fecal samples. BioTechniques 36, 808812.CrossRefGoogle ScholarPubMed
Jiao, J, Lu, Q, Tan, Z, et al. (2014) In vitro evaluation of effects of gut region and fiber structure on the intestinal dominant bacterial diversity and functional bacterial species. Anaerobe 28, 168177.CrossRefGoogle ScholarPubMed
Horton, NJ & Kleinman, K (2015) Using R and RStudio for Data Management, Statistical Analysis, and Graphics. Boca Raton, FL: CRC Press.CrossRefGoogle Scholar
Rorabacher, DB (1991) Statistical treatment for rejection of deviant values: critical values of Dixon’s “Q” parameter and related subrange ratios at the 95 % confidence level. Anal Chem 63, 139146.CrossRefGoogle Scholar
Ruiz, TM, Sanchez, WK, Staples, CR, et al. (1992) Comparison of Mott dwarf elephant grass silage and corn silage for lactating dairy cows. J Dairy Sci 75, 533543.CrossRefGoogle Scholar
Allen, MS (1996) Physical constraints on voluntary intake of forages by ruminants. J Anim Sci 74, 30633075.CrossRefGoogle ScholarPubMed
Elleuch, M, Bedigian, D, Roiseux, O, et al. (2011) Dietary fibre and fibre-rich by-products of food processing: characterisation, technological functionality and commercial applications: a review. Food Chem 124, 411421.CrossRefGoogle Scholar
Foschia, M, Peressini, D, Sensidoni, A, et al. (2013) The effects of dietary fibre addition on the quality of common cereal products. J Cereal Sci 58, 216227.CrossRefGoogle Scholar
van Lingen, HJ, Plugge, CM, Fadel, JG, et al. (2016) Thermodynamic driving force of hydrogen on rumen microbial metabolism: a theoretical investigation. PLOS ONE 11, e0161362.CrossRefGoogle ScholarPubMed
McAllister, TA & Newbold, CJ (2008) Redirecting rumen fermentation to reduce methanogenesis. Aust J Exp Agric 48, 713.CrossRefGoogle Scholar
Ungerfeld, EM (2015) Shifts in metabolic hydrogen sinks in the methanogenesis-inhibited ruminal fermentation: a meta-analysis. Front Microbiol 63, 37.Google Scholar
Wolin, MJ, Miller, TL & Stewart, CS (1997) Microbe–microbe interactions. In The Rumen Microbial Ecosystem, pp. 467–491 [Hobson, PN and Stewart, CS, editors]. London: Blackie Academic & Professional.Google Scholar
Dijkstra, J, Boer, H, Vanbruchem, J, et al. (1993) Absorption of volatile fatty acids from the rumen of lactating dairy cows as influenced by volatile fatty acid concentration, pH and rumen liquid volume. Br J Nutr 69, 385396.CrossRefGoogle ScholarPubMed
Storm, AC, Kristensen, NB & Hanigan, MD (2012) A model of ruminal volatile fatty acid absorption kinetics and rumen epithelial blood flow in lactating Holstein cows. J Dairy Sci 95, 29192934.CrossRefGoogle Scholar
Hall, MB, Nennich, TD, Doane, PH, et al. (2015) Total volatile fatty acid concentrations are unreliable estimators of treatment effects on ruminal fermentation in vivo . J Dairy Sci 98, 39883999.Google ScholarPubMed
Morgavi, DP, Martin, C, Jouany, JP, et al. (2012) Rumen protozoa and methanogenesis: not a simple cause–effect relationship. Br J Nutr 107, 388397.CrossRefGoogle Scholar
Edwards, JE, Kingston-Smith, AH, Jimenez, HR, et al. (2008) Dynamics of initial colonization of nonconserved perennial ryegrass by anaerobic fungi in the bovine rumen. FEMS Microbiol Ecol 66, 537545.CrossRefGoogle ScholarPubMed
Belanche, A, Doreau, M, Edwards, JE, et al. (2012) Shifts in the rumen microbiota due to the type of carbohydrate and level of protein ingested by dairy cattle are associated with changes in rumen fermentation. J Nutr 142, 16841692.CrossRefGoogle Scholar
Newbold, CJ, de la Fuente, G, Belanche, A, et al. (2015) The role of ciliate protozoa in the rumen. Front Microbiol 63, 1313.Google Scholar
Tokura, M, Chagan, I, Ushida, K, et al. (1999) Phylogenetic study of methanogens associated with rumen ciliates. Curr Microbiol 39, 123128.CrossRefGoogle ScholarPubMed
Lewis, WH, Sendra, KM, Embley, TM, et al. (2018) Morphology and phylogeny of a new species of anaerobic ciliate, Trimyema finlayi n. sp., with endosymbiotic methanogens. Front Microbiol 6, 140.CrossRefGoogle Scholar
Feng, YL (2000) Nutritional Requirements and Feeding Standard for Beef Cattle. Beijing: China Agricultural University Press.Google Scholar
Figure 0

Table 1. Chemical composition (expressed in g/kg of DM unless otherwise indicated) of Napier grass (NG) and corn stover (CS) silage

Figure 1

Table 2. Ingredients and chemical composition of the Napier grass (NG) and corn stover (CS) diets (g/kg DM)

Figure 2

Table 3. Substrate degradation and gas production of Napier grass (NG) or corn stover (CS) silage during 48-h in vitro ruminal batch incubation(Mean values with their standard errors)

Figure 3

Fig. 1. Scanning electron microscopy images (scale bar = 100 μm) of Napier grass (a and c) or corn stover (b and d) silage before (a and b) and after (c and d) 48-h in vitro ruminal incubation.

Figure 4

Table 4. Feed intake and total-tract apparent digestibility and growth performance in bulls fed the Napier grass (NG) or corn stover (CS) diets(Mean values with their standard errors)

Figure 5

Table 5. Concentrations of dissolved gases and fermentation end products in the rumens of bulls fed the Napier grass (NG) or corn stover (CS) diets(Mean values with their standard errors)

Figure 6

Table 6. Initial regression equations depicting the associations of diet and ruminal dissolved hydrogen (dH2) concentration, and their interaction, with neutral-detergent fibre (NDF) digestibility, dissolved methane (dCH4) concentration and selected microbial groups in growing beef bulls fed the Napier grass (NG) or corn stover (CS) diets

Figure 7

Fig. 2. Association of neutral-detergent fibre (NDF) digestibility with ruminal dissolved hydrogen (dH2) in bulls fed the Napier grass (NG) or corn stover (CS) diets. The green and red points and solid lines represent the best regression lines fitted using observations each diet separately. NG (green): y = 529·54 (±22·61; P < 0·001) – 3·86 (±28·39; P = 0·90) dH2; R2 < 0·01, n 12; CS (red): y = 647·80 (±30·59; P < 0·001) – 344·31 (±120·48; P = 0·02) dH2; R2 0·48, n 11. Equations contain regression coefficients, standard errors and P values and are expressed as regression coefficients with their standard errors. Each point represents an individual animal, with ⊕ being an outlier (dH2 = 0·83 μm) identified by the Dixon Q test and excluded from the analysis. Note the effect of diet by dH2 interaction is shown in Table 6.

Figure 8

Fig. 3. Association of ruminal dissolved methane (dCH4) with ruminal dissolved hydrogen (dH2) in bulls fed the Napier grass (NG) or corn stover (CS) diets. The green and red points and solid lines represent the best regression lines fitted using observations from each diet separately. NG (green): y = 0·54 (±0·06; P < 0·001) + 0·01 (±0·08; P = 0·89) dH2; R2 < 0·01, n 12; CS (red): y = 0·66 (±0·07; P < 0·001) + 0·09 (±0·29; P = 0·76) dH2; R2 = 0·01, n 11. Equations contain regression coefficients, standard errors and P values, and are expressed as regression coefficients with their standard errors. Each point represents an individual animal, with ⊕ being an outlier (dH2 = 0·83 μm) identified by the Dixon Q test and excluded from the analysis. Note the effect of diet by dH2 interaction is shown in Table 6.

Figure 9

Table 7. Selected microbial groups (log10 gene copies per ml rumen content) in the rumens of bulls fed the Napier grass (NG) or corn stover (CS) diets(Mean values with their standard errors)

Figure 10

Fig. 4. Associations of ruminal 16S rRNA gene copies of selected microbial groups with ruminal dissolved hydrogen (dH2) in bulls fed the Napier grass (NG) or corn stover (CS) diets. The green and red points and solid lines represent the best regression lines fitted using observations from the NG (n 12) and the CS (n 11) diets fitted separately. (a) NG (green): y = 9·91 (±0·25; P < 0·001) + 0·29 (±0·31; P = 0·37) dH2, R2 0·08, n 12; CS (red): y = 10·93 (±0·16; P < 0·001) – 1·73 (±0·64; P = 0·02) dH2, R2 0·45, n 11. (B) NG (green), y = 8·40 (±0·15; P < 0·001) + 0·003 (±0·19; P = 0·99) dH2, R2 < 0·01, n 12; CS (red): y = 8·86 (±0·14; P < 0·001) – 0·94 (±0·54; P = 0·12) dH2, R2 = 0·25, n 11. (C) NG (green) y = 7·36 (±0·38; P < 0·001) + 0·07 (±0·48; P = 0·89) dH2, R2 < 0·01, n 12; CS (red) y = 8·18 (±0·34; P < 0·001) – 1·80 (±1·33; P = 0·21) dH2, R2 = 0·17, n 11. (D) NG (green), y = 8·20 (±0·32; P < 0·001) + 0·22 (±0·40; P = 0·60) dH2, R2 = 0·03, n 12; CS (red): y = 9·20 (±0·21; P < 0·001) – 1·42 (±0·83; P = 0·12) dH2, R2 = 0·25, n 11. (E) NG (green): y = 8·33 (±0·21; P < 0·001) – 0·001 (±0·26; P = 0·99) dH2, R2 < 0·01, n 12; CS (red): y = 8·72 (±0·20; P < 0·001) – 0·38 (±0·79; P = 0·65) dH2, R2 = 0·02, n 11. Equations contain regression coefficients, standard errors and P values, and are expressed as regression coefficients with their standard errors. Each point represents an individual animal, with ⊕ being an outlier (dH2 = 0·83 μm) identified by the Dixon Q test and excluded from the analysis. Note the effect of diet by dH2 interaction is shown in Table 6.

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