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ORIGINAL RESEARCH article

Front. Vet. Sci., 15 January 2024
Sec. Animal Nutrition and Metabolism
This article is part of the Research Topic Nutricines and Derivatives of Nutrients in Animal Health and Disease Prevention View all 15 articles

Supplementation of complex natural feed additive containing (C. militaris, probiotics and red ginseng by-product) on rumen-fermentation, growth performance and carcass characteristics in Korean native steers

  • 1Laboratory of Animal Nutrition, Physiology and Proteomics, Department of Animal Science and Technology, Konkuk University, Seoul, Republic of Korea
  • 2DM Bio Co., Ltd., Jellonam-do, Republic of Korea

This study evaluated the effects of a complex natural feed additive on rumen fermentation, carcass characteristics and growth performance in Korean-native steers. In this study, in vitro and in vivo experiment were conducted. Seven different levels of complex natural feed additive (CA) were added to the buffered rumen fluid using AnkomRF gas production system for 12, 24 and 48 h. All experimental data were analyzed by mixed procedure of SAS. Total gas production increased in the CA groups, with the highest response observed in the 0.06% group at 48 h of incubation (linear, p = 0.02; quadratic, p < 0.01). Regarding rumen fermentation parameters, the total volatile fatty acid (TVFA) tended to increase in all the CA groups (p = 0.07). The concentrations of butyrate, iso-butyrate, and iso-valerate significantly increased in all treatment groups (p < 0.05). In the in vivo experiment, 23 Korean-native steers were allocated to two groups: (1) Control and (2) Treatment; control +0.07% CA (DM basis), in a randomized complete-block design and blocked by body weight (ave. body weight = 641.96 kg ± 62.51 kg, p = 0.80) and feed intake (ave. feed intake = 13.96 kg ± 0.74 kg, p = 0.08) lasted for 252 days. Average daily gain decreased in the treatment group (p < 0.01). Backfat thickness significantly decreased in the CA group (p = 0.03), whereas meat color tended to increase (p = 0.07). In conclusion, in the in vitro experiment, the inclusion of complex natural feed additive decreased methane proportion and tended to increase TVFA production, but supplementation to Korean native steers decreased average daily gain and backfat thickness.

1 Introduction

With the increase in the global population, growth of the global economy, and urbanization, there has been an increased demand for livestock products, including meat, milk, and eggs. These phenomena put pressure on the livestock industry to meet global expectations (1). Recently, animal producers have shown interest in natural compounds to improve animal physiological state and health (2). There are numerous natural compounds that can serve as alternatives to growth-promoting antibiotics to enhance animal health and well-being (3). One of these alternatives is probiotics, referred to as ‘direct-fed microbial’ (DFM). DFM refers to living microorganisms utilized to enhance livestock performance by modifying the microbial composition within the animal intestinal tract (4). Probiotics are employed in the ruminant industry to modulate the microflora and fermentation activities for the benefit of the host (5). Lactic acid-producing bacteria, lactic acid-utilizing bacteria, yeast, and fungi are commonly utilized as probiotics in ruminants (5). DFMs act in both the intestinal tract and post-gastrointestinal region. Several studies have reported that these microorganisms not only enhance performance but also modulate the immune response of animals (68).

Cordyceps militaris (C. militaris) is entomopathogenic fungus that has been used for the last 300 years in East Asia due to its adaptogenic and tonic effects (9). Cordyceps spp. contain several bioactive compounds such as cordycepic acid (D-mannitol), cordycepin, ergosterol and adenosine (10, 11). C. militaris has been shown to improve in-vitro rumen fermentation, leading to an increase in volatile fatty acids (VFA), cellulose digestion, and cellulolytic enzyme activities (12, 13). Panax ginseng belongs to the Araliaceae family, which is an herbaceous plant and one of the most precious plant products in Northeast Asia (14). Red ginseng is produced by steaming fresh ginseng, known to contain pharmaceutical efficacy due to its major bioactive constituent (triterpene saponin), also called ginsenosides (15). This manufacturing process is known to enhance the saponin content in ginseng (16). Due to the medicinal efficacy of red ginseng, there has been an increase in the production of red ginseng, leading to the production of about 8,000 tons of by-products (17). Regardless of extracting its bioactive compounds using solvents like water or, alcohol, are known to contain bioactive compounds such as ginsenosides (15). By-products of red ginseng continue to be produced as the market is increasing, and several studies have indicated that these could be used as additives in the animal feed industry (17, 18).

Recently, phytogenic feed additives have been recognized for their ability to influence feed quality, animal health, as well as animal products. Several studies have shown that the individual components of natural feed additives can have various positive effects on animals (1921). It is expected that a combination of these components will work synergistically to enhance outcomes when included in animal diets. To our knowledge, no previous work has been conducted to evaluate the performances of cattle using a mixture of these compounds. Therefore, this study aimed to evaluate the effects of combination of probiotics and natural feed additives on the physiological aspects and growth performance of Korean-native cattle.

2 Materials and methods

2.1 Preparing complex natural feed additive (CA)

The complex natural feed additive, containing (probiotics, red ginseng by-product and C. militaris) was obtained from DM bio-Co., LTd (Jeollanam-do, Korea). Probiotics were inoculated into a sterilized medium composed of red ginseng by-product, soy-bean meal, distillers’ grain, wheat bran and condensed molasses soluble (CMS). The probiotics used in this additive included Bacillus subtilis (1.0 × 1011 CFU/g), Aspergillus oryzae (1.0 × 1010 CFU/g), Saccharomyces cerevisiae (1.0 × 1011 CFU/g), Lactobacillus acidophillus (1.0 × 1010 CFU/g), and Streptococcus thermophilus (1.0 × 1011 CFU/g). After inoculating the probiotics, the mixture was dried at low temperature and C. militaris (20%) was added to the total volume of the complex natural feed additive (Korea. Patent No. 10–1137893).

2.2 Chemical analysis

Experimental diets were finely milled through a 250 ~ 500 μm screen and analyzed for chemical composition (Table 1). All samples were dried in an air-drying oven at 60°C for 48 h to determine the chemical composition. The chemical analysis for ether extract (EE; Method 920.39), crude protein (CP; Method 954.01), and crude ash (Ash; Method 942.05) of diets were followed methods of Association of Official Analytical Chemists (AOAC, 1990). The aNDF and ADF were analyzed using the Van Soest method (22).

Table 1
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Table 1. Chemical composition of experimental diet.

2.3 In vitro experiment

The basal diets used in the in-vivo study were milled through a 1 mm screen and used as a substrate in this experiment. Before collecting rumen fluid, the experimental diet was given to cannulated cows for adaptation for 7 days. After adaptation period, rumen fluid was obtained from 2 cannulated Holstein cows, and an equal amount of rumen fluid was obtained from each animal. It was then filtered through a 250 μm pore-sized nylon filter (Shanghai Bolting Cloth Manufacturing Co., Ltd., Shanghai, China). The filtered fluid was mixed with Menke’s buffer in a 1:3 ratio (23). For the in-vitro experiment, we used a wireless gas pressure monitoring system, the AnkomRF gas production system (ANKOM Technology, Macedon, NY, USA) (24). Each bottle was filled with 125 mL of buffered solution and added ANKOM bags (R510; Ankom Technology, USA). A substrate (1.25 g) was placed in each nylon bag and mixed with CA at levels of 0, 0.015, 0.03, 0.06, 0.12, 0.24, and 0.48% of dry matter basis. Maintaining an anaerobic state in buffered rumen fluid, ultra-purity argon gas (99.999%) was used in this experiment (25). Incubation was carried out in a shaking incubator (JSSI-300C, JSR, Gongju, Korea) at 39°C for 48 h at 85 rpm. A total of 3 experiments were conducted, and each experiment consisted of duplicated treatment bottles and two blank bottles, totaling 54. The blank bottles were used to correct data for Total gas production (TGP), In-vitro, dry matter digestibility (IVDMD), and total volatile fatty acids (TVFA).

The cumulative pressure was set to be recorded every 20 min using the official manufacturer’s software (Gas Pressure Monitor, Ankom Technology, Macedon, NY, USA) until the end of the incubation. The kinetics of gas production were analyzed using a single-pool and single-lag exponential model (26).

V t = 0 ( 0 T L ) .
V t = V max ( 1 exp ( K ( T L ) ) ) ( T L ) .

Where Vt is the gas produced at a specific time T (mL), Vmax is the asymptotic gas production (h−1), Exp is the exponential function, K is the fractional rate of gas production (h−1), L is the discrete lag time (h), and t is the time after the initiation of incubation (h). For CH4 analysis, 3 mL of gas was sampled at 12, 24, and 48 h into a vacuum container (Labco Ltd., High Wycombe, UK). CH4 analysis was conducted using a gas chromatography system (HP 6890 series GC system; Agilent Technologies Inc., Santa Clara, CA, USA). A thermal conductivity detector and capillary column (HP-PLOT/Q; Agilent Technologies Inc., Santa Clara, CA, USA) were used in the gas chromatography system, and a standard gas mixture (H2 1.0%, CO2 20.1%, CH4 10.1%, and N2 19.9% in He) was used to quantify CH4 concentration. After the experiment completed, the nylon bags were removed to measure IVDMD by calculating the weight loss of the substrate. Ruminal pH was measured using a pH meter (S20 SevenEasy pH, Mettler Toledo, Greifensee, Switzerland). For the measurement of volatile fatty acid (VFA) and NH3-N, rumen fluids were collected into 50 mL tube and then centrifuged at 2,000 g at 4°C for 10 min to deposit feed particles. The 5 mL of the supernatant rumen fluid were collected in 15 mL tubes and mixed with 1 mL of a 2% HgCl2 (wt/vol) and 25% meta-phosphoric acid (wt/vol) solution for NH3-N and VFA analysis. For VFA analysis, 1.4 mL of supernatant was collected to 2 mL tube and centrifuged at 20,000 g at 4°C for 20 min. After that a volume of 25 μL of 1% (wt/vol) pivalic acid was added to sample for using an internal standard and stored at brown vial until analysis. Profiles of VFA were analyzed using the gas chromatography (HP 6890 series GC system; Agilent Technologies Inc., Santa Clara, CA, USA) equipped with a flame ionization detector and a capillary column (DB-FFAP; Agilent Technologies Inc., Santa Clara, CA, USA).

For NH3-N analysis, previously centrifuged 600 μL samples was transferred to a 1.5 mL tubes and centrifuged again at 20,000 g at 4°C for 20 min. Then, 500 μL of supernatant were collected into new 1.5 mL tubes. NH3-N concentration was measured using the catalyzed indophenol reaction (27) using spectrophotometry (Synergy2; Biotek Instruments, Inc., Winooski, VT, USA).

2.4 Animals and experimental condition (In-vivo, experiment)

All the animal experimental procedure were approved by the Institute of Animal Care and Use Committee of Konkuk University (approval no. KU22079). 23-Korean native steers (Initial body weight 641.96 ± 62.51 kg; age 24.22 ± 0.93 months) were used for the experiment. Before starting the experiment, a total of 5 days, feed intake was checked daily for each pen by weighing orts to measure dry matter intake (DMI). Initial Body Weight (IBW) was measured using a digital scale (CAS Co. Ltd., Seoul, Korea). The animals were allocated to 2 dietary treatments, control (without CA) and treatment (0.07% of CA supplementation on a dry matter basis), using a randomized complete block design considering factors such as feed intake, age, and IBW. After a 7 days adaptation period, the total experiment lasted for 252 days, during which animals were fed twice daily (07,00 and 16,00). Mineral blocks and water were provided ad libitum. The offered diets and refusals were measured for three consecutive days each month to calculate the pen’s DMI. CA was provided to the experimental animals by top-dressing onto basal diet at every 16:00 feeding time.

2.5 Blood sampling and metabolic profiles analysis

Blood samples were taken from each cow through the jugular vein on day 144. For complete blood cell count test, blood was collected into EDTA-containing tubes (Becton Dickinson, Franklin Lakes, NJ, USA) and analyzed using the HM2 analyzer (Abaxis, Union City, CA, USA). For serum analysis, blood was collected into heparin-containing tubes (Becton Dickinson, Franklin Lakes, NJ, USA) and centrifuged at 3,000 rpm for 15 min to extract serum. Serum samples were stored at −80°C until analysis. Fuji dry-chem slides (DRI-CHEM 7000i, Fuji Film, Tokyo, Japan) was used to determine serum metabolite concentration.

2.6 Carcass traits

Slaughtering procedure of experimental animals were conducted at a commercial slaughterhouse in Chungcheongnam-do, Korea. In each group, the slaughter of four animals was carried out sequentially on days 223, 244, and 255, respectively. After slaughter and a 24-h chilling process, the evaluation was conducted, including yield grade (carcass weight, back fat thickness, and ribeye area) and carcass quality grade (marbling score, meat color, texture, and maturity). Carcass traits scores were assessed according to the Korean Carcass Grading System of the Korea Institute of Animal Products Quality Evaluation (KAPE, 2019). The quality grade was assessed on the surface of the longissimus thoracis muscles in the 13th rib section.

2.7 Statistical analysis

All the data from the experiment were statistically analyzed using SAS University Studio (SAS Institute, Inc., Cary, NC, USA). The rumen fermentation data were analyzed using the PROC MIXED procedure of SAS, and the statistical model was as follows:

Y i j = μ + T i + R j + e i j .

Where Yij is the observation from the experimental unit, μ is the overall mean, Ti is the fixed effect of the dose of the CA (i = 1, 2, …, 7), Rj is the random effect of the experiment (experiment), and eij is the residual effect. An orthogonal polynomial test was conducted using the SAS PROC IML procedure to determine the linear and quadratic effects of CA. Data from gas production kinetics and broken-line regression were analyzed using the SAS PROC NLIN procedure. For analyzing the broken line regressions, TVFA was used as the criterion of the model. Graphical depiction of the broken-line regression results was done using the GPLOT procedure in SAS (Figure 1).

Figure 1
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Figure 1. Broken-line regression models fitted to data of TVFA production expressed as (y), in response to CA inclusion level %DM as (x) Y = 46.2021–684.7 (x - 0.073)2 (x > 0.073), Y = 46.2021–2.6937x (x < 0.073) (r2 = 0.37; p = 0.045).

The experiment statistical model for the in vivo experiment were analyzed using the MIXED procedure of SAS and the statistical models was as follow equation.

Y i j = μ + T i + R j + e i j .

Where Yij is the observation from the experimental unit, μ is the overall mean, Ti is the fixed effect of the CA, Rj is the random effect of the animal (i = 1, 2…12), eij is the residual effect. All the data differences between the treatments were compared with Tukey’s test. The significance level was declared at p < 0.05, and tendency was declared at 0.05 ≤ p < 0.1.

3 Results

3.1 In vitro rumen gas and CH4 production

We investigated in vitro rumen gas production and CH4 production at various levels of CA inclusion concerning incubation time and dosage (Table 2 and Figure 2). There were no significant differences in the fitted parameters of gas production profiles. However, the inclusion of CA tended to increase Vmax (p = 0.05).

Table 2
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Table 2. The fitted parameters of gas production profiles.

Figure 2
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Figure 2. Effects of complex natural feed additives on gas production profiles during in vitro rumen fermentation based on incubation time and dosage.

Time-dependent effects of in vitro rumen gas production and methane emission were shown in Table 3. The inclusion of CA increased TGP at all incubation times (p < 0.05), with the highest observed at the 0.06% level. There were no significant results in methane production, but it tended to decrease when supplemented with CA, especially with the most significant reduction observed at 0.03% of DM inclusion (p = 0.07). Methane proportion was found to be lower with CA inclusion at 12 h of incubation (p = 0.02).

Table 3
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Table 3. Time-dependent effects of complex natural feed additive on in vitro rumen gas and methane production.

3.2 In vitro rumen fermentation parameters

After 48 h of incubation, we investigated the rumen fermentation characteristics with various levels of CA added (Table 4). Ruminal pH was not significantly affected by the inclusion of CA in the ruminal fluid. TVFA production tended to increase in the treatment groups (p = 0.07), especially the molar proportion of butyrate, which increased in all the treatment groups (p < 0.01). Iso-butyrate and iso-valerate also increased in the treatment groups (p = 0.01). Correlating with these results, branched-chain fatty acids (BCFA) were also increased in the treatment group (p = 0.01).

Table 4
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Table 4. Effects of complex natural feed additive on rumen fermentation characteristics (48 h).

3.3 Broken-line regression analysis

A quadratic effect was observed in the CA inclusion group regarding TVFA production (p = 0.03). The TVFA was used as the criterion for broken-line regression analysis. Quadratic broken-line regression analysis estimated that the maximum TVFA was produced at 0.0703% DM inclusion (Y = 46.2021–684.7 (x - 0.073)2 (x > 0.073), Y = 46.2021–2.6937x (x < 0.073); r2 = 0.37; p = 0.045) (Figure 1).

3.4 Growth performance

The effects of CA supplementation on the growth performance of Korean-native steers are shown in Table 5. The average daily gain (ADG) was decreased in treatment group compared to control group (p = 0.01). Additionally, the feed gain ratio tended to decrease in treatment group (p = 0.07).

Table 5
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Table 5. Growth performances of Korean-native steers supplemented complex natural feed additive.

3.5 Serum metabolites

The effects of CA supplementation on serum metabolites of Korean native steers are shown in Table 6. No significant differences were observed in serum metabolites between control and treatment group (p > 0.05).

Table 6
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Table 6. Serum metabolites of Korean-native steers supplemented complex natural feed additive.

3.6 Complete blood cell count (CBC)

The effects of CA supplementation on complete blood cell count (CBC) of Korean native steers are shown in Table 7. No significant differences were observed in CBC between control and treatment group (p > 0.05).

Table 7
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Table 7. Complete blood cell count of Korean-native steers supplemented complex natural feed additive.

3.7 Carcass characteristics

The effects of CA supplementation on the carcass characteristics of Korean native steers are shown in Table 8. Backfat thickness was significantly decreased in the treatment group compared to the control group (p = 0.03). Meat color tended to increase in treatment group (p = 0.08). There were no significant differences in other parameters related to carcass characteristics (p > 0.05) between the control and treatment groups.

Table 8
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Table 8. Carcass characteristics of Korean-native steers supplemented complex natural feed additive.

4 Discussions

4.1 In vitro experiment

The aim of the in vitro study was to assess the effects of CA on the rumen environment. Rumen gas production is an indirect measurement of rumen microbial fermentation and activity. Recently, rumen gas production has been applied in the field of ruminant research to estimate microbial fermentation processes (23) and evaluate the effect of anti-nutritional factors on microbial activity (28, 29). Gas production primarily results from the fermentation of carbohydrates in the rumen, yielding acetate, propionate, and butyrate, and releasing final catabolites, mostly carbon dioxide and methane (23).

In this study, total gas production significantly increased in the treatment group at every time-period. This increase in total gas production was observed alongside a tendency for increased VFA production. According to a previous study by Getachew et al. (30), gas production has positive correlation with butyrate production. In this study, butyrate production was positively correlated with total gas production in treatment group in linear regression analysis (not shown in table), which may be attributed to the increased TGP. Consistent with our findings, another study reported that C. militaris increased rumen cellulolytic bacteria, specifically Ruminococcus flavefaciens in rumen in vitro fermentation (13, 31). Rumen bacteria are the most abundant microbes in rumen and approximately 1010–1011 cells/ml and over 200 species inhabit in the rumen (32). The plant fiber matrix is complex and composed of polymer of carbohydrate, breakdown of fiber requires the coordination of a hydrolytic enzymes (33). Cellulose-degrading bacteria reside in the rumen, the most effective cellulose degraders in the rumen due to their ability to digest cellulose, facilitated by the presence of numerous genes encoding for fiber degradation (33). A series of fermentation processes by cellulolytic bacteria produce VFA in rumen. The reasons for the increased bacterial population in rumen are not known but, it could guess that polysaccharide from C. militaris plays energy sources to rumen microbes by manipulating the composition in rumen. Several studies reported that galactomannan provide nutrients for beneficial microbes in the gastrointestinal microbiota (34) and D-mannitol can also become energy sources for bacteria growth in the rumen (35). Also, Cappellozza et al. (36), reported that the inclusion of Bacillus-based probiotics can increase rumen in vitro gas production due to the production of various enzymes by Bacillus sp. The protease produced from Bacillus. Subtilis (B. subtilis), called subtilisin, may degrade proteins in the rumen, providing peptides and amino acids for microbial crude protein synthesis (37). Not only does B. subtilis play a role, but Saccharomyces. Cerevisiae (S. cerevisiae) also contributes to an increased fermentation status in the rumen. The mechanisms behind the higher VFA concentration in S. cerevisiae are not fully known, but it is associated with anaerobic microflora in the rumen (35). S. cerevisiae has been reported to act as an oxygen scavenger in the rumen, creating favorable conditions for the activity of various microorganisms (38). Additionally, exogenous enzymes such as xylanase from S. cerevisiae have been reported to have positive effects on ruminal fibrolytic bacteria by providing readily usable carbohydrates (39). Therefore, the inclusion of CA could enhance the status of rumen microorganisms through the synergistic effects of bioactive compounds in CA, promoting the production of diverse enzymes and making the substrate more efficient to break down.

Methane production results from the fermentation of digestible structural carbohydrates in the rumen (40). Ruminal methane is produced by methanogens in a reduction pathway of carbon dioxide (CO2) and hydrogen (H2) (41). In this study, methane proportion tended to decrease at 12 h of incubation. Kim et al. (31) reported that C. militaris had an adverse effect on ciliate protozoan populations in rumen in vitro experiments during early incubation. They reported that methanogen archaea were significantly decreased at 12 h incubation with low concentrations of C. militaris inclusion (0.10 g/L). Additionally, red ginseng contains triterpene saponin and pharmacological compounds (42). Saponins have a chemical structure that can act like soap, interacting with cell membrane components such as cholesterol and phospholipids (43). Especially in the rumen saponins can form complexes within protozoal cell membrane, leading to cell rupture and lysis (44). Rumen protozoa have a symbiotic relationship with methanogen archaea and are known to provide hydrogen as a substrate for methanogens (45). This interaction may affect microbial diversity and fermentation, thus inhibiting methanogenesis in ruminants. Consistent with the results of Hamid et al. (18), who evaluated the red ginseng byproduct (RGP) as a protein source for the rumen and found that RGP significantly decreased methanogen archaea compared to another conventional ingredient. Thus, the decreased methane production in our study may be attributed to the bioactive compounds of the CA acting synergistically to inhibit the growth of protozoa, ultimately leading to lower the methane formation.

BCFA results from the oxidative deamination and decarboxylation steps of branched-chain amino acids (BCAA) during fermentation (46). Cellulolytic bacteria utilize BCFA for the synthesis of BCAA (47). In this study, branched-chain fatty acids significantly increased with CA inclusion, which was associated with increased protein digestibility. Sun et al. (48) reported that B. subtilis natto, used in rumen in vitro fermentation at a concentration of 1.0 × 1011 CFU/g, significantly increased BCFA production. B. subtilis could produce proteolytic enzymes, including subtilisin, which promote protein digestion (37). It can be speculated that B. subtilis may accelerate the deamination and increase the utilization of isoacid for the synthesis of BCAA.

4.2 In vivo experiment

Based on the results from the in vitro experiment, 0.07% of CA (on a dry matter basis) was selected for in vivo dosage because it resulted in the highest production of VFA, and there were no harmful effects on ruminal fermentation. However, contrary to the results of the in vitro experiment, there were no significant results in final body weight and DMI between the control and treatment groups. Consistent with our results, previous studies on the same probiotic species did not show a significant improvement in the DMI of ruminants (4951), while other studies reported an increased DMI of ruminants (52, 53). Discrepancies in results may be due to the variations in the amounts of probiotics fed, the species of animals, or the age of the animals.

In this experiment, we used red ginseng by-product as a component of the feed additive. RGP is known to contain compounds that can reduce feed intake due to its astringent and irritating taste (54). Also, triterpenoid saponins have been reported to inhibit pancreatic lipase activity (1). Yoshikawa et al. (55) reported that triterpenoid saponins from Camellia sinensis inhibited pancreatic lipase activity in mice. Furthermore, the glucuronic acid unit at C3 of the aglycone of triterpenoid saponins has been reported to inhibit α-amylase and α-glucosidase activity (56). Therefore, even though there were no significant differences in DMI between the control and treatment groups, we can infer that, despite the increased VFA production observed in the in vitro experiment, saponin may have decreased pancreatic enzyme activity, which could have reduced the bioavailability of nutrients in the treatment group, ultimately leading to a decrease in growth and carcass performances.

Additionally, according to Riddell et al. (57), probiotics show their maximum effects during stressful conditions. Past studies have reported that probiotic supplementation during stressful periods in ruminant, such as weaning, dietary shifts, and the beginning of lactation, can significantly affect the performance of ruminant (58). Therefore, in the current experiment, the relatively well-housed environment may have helped prevent stressful conditions, limiting the potential effects on animal performance. Another speculated reason for the lack of effects on growth performance could be compensatory digestion that occurs in the post-ruminal digestive tract. The hindgut accounts for approximately 2% of the cow’s body weight and has been found to contribute to 8 to 17% of the TVFA absorption proportion from the digestive systems of ruminants (59). The hindgut also accounted for an average of total-tract starch disappearance, averaging 2.9% (range = 0.0 to 6.8%) in steers. Additionally, low digestibility can compensate in the hindgut when ruminal digestibility is low (60). Given these reasons, CA supplementation may not increase the growth performances of Korean-native steers.

Back-fat thickness refers to the external fat thickness of the carcass and is one of the less desirable parts of the carcass, as it is the most sensitive part when calculating the yield grade (KAPE, 2019). As shown, back-fat thickness was significantly decreased in the treatment group. Consistent with these results, Geng et al. (61) reported that feedlot bulls fed with yeast, increased triglycerides and free fatty acid levels in blood. Increased serum triglycerides level could elicit from the lipolysis of pre-deposited fat. Furthermore, Kim et al. (62) demonstrated that Bacillus probiotics increased lipid oxidative genes in liver and decreased lipid accumulation in mice subcutaneous tissues. Similarly, a previous study reported that C. militaris extract (CE), specifically cordyrrole a treatment against obesity induced by a high-fat diet in mice, decreased body weight gain and food efficiency ratio (63). They observed that the size of adipocytes was decreased by CE treatment, and active constituents of C. militaris inhibited adipocyte differentiation. Considering the significant reduction in backfat thickness and the increase in serum non-esterified fatty acid (NEFA) levels in the supplementation group that we could estimate that the results may have been influenced by the reasons mentioned above. Also, regarding carcass characteristics, previous studies have reported that higher carcass weight in cattle is associated with increased back-fat thickness (64). Carcass weight affects meat quality through its effect on fattiness. While there are other factors affecting the quality of meat, it’s crucial to consider genetic factors, which can vary depending on the animal species and the level of nutrients (65). Also, it’s important to note that the lipid metabolism of ruminants differs from that of monogastric animals, thus further research is needed.

The color of meat is the most important factor for consumers when purchasing meat (66). Meat color is affected by several factors, such as genetics, animal age, nutritional status, and slaughter conditions (67). Fresh meat typically has a bright color and is used as an indicator of its freshness. In this experiment, meat color tended to decrease in the treatment group. The heavier carcass weight of cattle, due to the deposition of energy content from feed, promotes slower glycogen degradation until slaughtering. Heavier cattle also exhibit improved meat color (L*, a*, and b*) values, indicating slower glycogen degradation until slaughtering (68). This is associated with higher glycogen deposition, which accelerates the formation of lactic acid in the muscle. During the pre-slaughter season of cattle, increased physical activity and stress can lead to a higher demand for glycogen and altered pH in the meat, resulting in a change in color (darkening of the meat). Low acidity in the meat leads to a darker color in the muscle. Consequently, we can infer that heavier carcasses deposit more energy, leading to increased production of lactic acid in the muscle. This change in lactic acid levels affects the lower pH in the meat, resulting in a difference in meat color.

Blood hematology parameters are not affected by the supplementation of CA, which means that feeding 0.07% of CA (DM basis) had no negative effect on the immunological responses in Korean-native steers. This could be due to the CA effects vary depending on the animal’s condition (fluctuation of blood), and the low sample size may have contributed to these results (69). Collectively, these results suggest that supplementation with 0.07% CA did not improve the performance of Korean-native steers. In general, the compounds of CA exert their maximum effectiveness in stressful environments, while this study was conducted in a normal environment. Therefore, further studies are suggested to investigate the effects of these factors under diverse conditions for ruminants, especially in stressful conditions.

5 Conclusion

Taken together, CA showed no harmful effects on rumen fermentation when supplements were up to 0.48%. However, supplementation of a complex of natural feed additives on Korean native steers significantly decreased average daily gain and back-fat thickness. In addition, there were no significant effects on final body weight, serum metabolites, or the health status of Korean native steers. Therefore, to overcome the limitations of this study, we suggest conducting further research under stressful environments and experimenting with various conditions for animals to determine the efficacy of the feed additives and find ways to enhance their effectiveness.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Ethics statement

The animal study was approved by Institute of Animal Care and Use Committee of Konkuk University (approval no. KU22079). The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

M-SJ: Conceptualization, Data curation, Investigation, Methodology, Project administration, Writing –review & editing. Y-HJ: Methodology, Project administration, Writing – original draft. Y-RK: Data curation, Writing – original draft. JG: Writing – review & editing. J-GL: Resources, Writing – original draft. H-GL: Conceptualization, Supervision, Writing – review & editing.

Glossary

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This paper was supported by Konkuk University in 2021.

Conflict of interest

J-GL was employed by DM Bio Co., Ltd.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Del Hierro, JN, Herrera, T, Fornari, T, Reglero, G, and Martin, D. The gastrointestinal behavior of Saponins and its significance for their bioavailability and bioactivities. J Funct Foods. (2018) 40:484–97. doi: 10.1016/j.jff.2017.11.032

Crossref Full Text | Google Scholar

2. Peng, Q, Cheng, L, Kang, K, Tian, G, Al-Mamun, M, Xue, B, et al. Effects of yeast and yeast cell wall polysaccharides supplementation on beef cattle growth performance, rumen microbial populations and lipopolysaccharides production. J Integr Agric. (2020) 19:810–9. doi: 10.1016/S2095-3119(19)62708-5

Crossref Full Text | Google Scholar

3. Allen, HK, Levine, UY, Looft, T, Bandrick, M, and Casey, TA. Treatment, promotion, commotion: antibiotic alternatives in food-producing animals. Trends Microbiol. (2013) 21:114–9. doi: 10.1016/j.tim.2012.11.001

PubMed Abstract | Crossref Full Text | Google Scholar

4. Doyle, N, Mbandlwa, P, Kelly, WJ, Attwood, G, Li, Y, Ross, RP, et al. Use of lactic acid bacteria to reduce methane production in ruminants, a critical review. Front Microbiol. (2019) 10:2207. doi: 10.3389/fmicb.2019.02207

Crossref Full Text | Google Scholar

5. Seo, JK, Kim, S-W, Kim, MH, Upadhaya, SD, Kam, DK, and Ha, JK. Direct-fed Microbials for ruminant animals. Asian Australas J Anim Sci. (2010) 23:1657–67. doi: 10.5713/ajas.2010.r.08

Crossref Full Text | Google Scholar

6. Ban, Y, and Guan, LL. Implication and challenges of direct-fed microbial supplementation to improve ruminant production and health. J Anim Sci Biotechnol. (2021) 12:109. doi: 10.1186/s40104-021-00630-x

Crossref Full Text | Google Scholar

7. Scharek-Tedin, L, Pieper, R, Vahjen, W, Tedin, K, Neumann, K, and Zentek, J. Bacillus Cereus Var. Toyoi modulates the immune reaction and reduces the occurrence of diarrhea in piglets challenged with Salmonella Typhimurium Dt104. J Anim Sci. (2013) 91:5696–704. doi: 10.2527/jas.2013-6382

Crossref Full Text | Google Scholar

8. Zerby, H, Bard, J, Loerch, S, Kuber, P, Radunz, A, and Fluharty, F. Effects of diet and aspergillus oryzae extract or saccharomyces cervisiae on growth and carcass characteristics of lambs and steers fed to meet requirements of natural markets. J Anim Sci. (2011) 89:2257–64. doi: 10.2527/jas.2010-3308

Crossref Full Text | Google Scholar

9. Jędrejko, KJ, Lazur, J, and Muszyńska, B. Cordyceps Militaris: an overview of its chemical constituents in relation to biological activity. Foods. (2021) 10:2634. doi: 10.3390/foods10112634

PubMed Abstract | Crossref Full Text | Google Scholar

10. Yue, K, Ye, M, Zhou, Z, Sun, W, and Lin, X. The genus cordyceps: a chemical and pharmacological review. J Pharm Pharmacol. (2013) 65:474–93. doi: 10.1111/j.2042-7158.2012.01601.x

Crossref Full Text | Google Scholar

11. Tuli, HS, Sharma, AK, Sandhu, SS, and Kashyap, D. Cordycepin: a bioactive metabolite with therapeutic potential. Life Sci. (2013) 93:863–9. doi: 10.1016/j.lfs.2013.09.030

Crossref Full Text | Google Scholar

12. Yeo, JM, Lee, SJ, Lee, SM, Shin, SH, Lee, SH, Ha, JK, et al. Effects of cordyceps militaris mycelia on in vitro rumen microbial fermentation. Asian Australas J Anim Sci. (2009) 22:201–5. doi: 10.5713/ajas.2009.80579

Crossref Full Text | Google Scholar

13. Yeo, JM, Lee, SJ, Shin, SH, Lee, SH, Ha, JK, Kim, WY, et al. Effects of cordyceps militaris mycelia on fibrolytic enzyme activities and microbial populations in vitro. Asian Australas J Anim Sci. (2011) 24:364–8. doi: 10.5713/ajas.2011.90085

Crossref Full Text | Google Scholar

14. Guo, M, Shao, S, Wang, D, Zhao, D, and Wang, M. Recent progress in polysaccharides from Panax Ginseng C. Food Funct. (2021) 12:494–518. doi: 10.1039/D0FO01896A

PubMed Abstract | Crossref Full Text | Google Scholar

15. Kim, JE, Jang, SG, Lee, CH, Lee, JY, Park, H, Kim, JH, et al. Beneficial effects on skin health using polysaccharides from red ginseng by-product. J Food Biochem. (2019) 43:E12961. doi: 10.1111/jfbc.12961

Crossref Full Text | Google Scholar

16. Chong-Zhi, W, Anderson, S, Wei, D, Tong-Chuan, H, and Chun-Su, Y. Red ginseng and cancer treatment. Chin J Nat Med. (2016) 14:7–16. doi: 10.3724/SP.J.1009.2016.00007

Crossref Full Text | Google Scholar

17. Kang, H, Park, S-B, and Kim, C. Effect of dietary supplementation of red ginseng by-product on laying performance, blood biochemistry, serum immunoglobulin and microbial population in laying hens. Asian Australas J Anim Sci. (2016) 29:1464–9. doi: 10.5713/ajas.15.0664

Crossref Full Text | Google Scholar

18. Hamid, MMA, Moon, J, Yoo, D, Kim, H, Lee, YK, Song, J, et al. Rumen fermentation, methane production, and microbial composition following in vitro evaluation of red ginseng byproduct as a protein source. J Anim Sci Technol. (2020) 62:801–11. doi: 10.5187/jast.2020.62.6.801

PubMed Abstract | Crossref Full Text | Google Scholar

19. Souza, VL, Lopes, NM, Zacaroni, OF, Silveira, VA, Pereira, RAN, Freitas, JA, et al. Lactation performance and diet digestibility of dairy cows in response to the supplementation of Bacillus Subtilis spores. Livest Sci. (2017) 200:35–9. doi: 10.1016/j.livsci.2017.03.023

Crossref Full Text | Google Scholar

20. Chanjula, P, and Cherdthong, A. Effects of spent mushroom cordyceps militaris supplementation on apparent digestibility, rumen fermentation, and blood metabolite parameters of goats. J Anim Sci. (2018) 96:1150–8. doi: 10.1093/jas/skx079

PubMed Abstract | Crossref Full Text | Google Scholar

21. Wu, Q, Cao, M, Xie, H, Huang, Q, Zhou, X, Guo, J, et al. Effects of probiotic administration on the digestibility characteristics and growth performance of finishing beef cattle fed a total mixed ration containing different levels of corn Stover. Anim Sci J. (2022) 93:e13751. doi: 10.1111/asj.13751

Crossref Full Text | Google Scholar

22. Van Soest, PV, Robertson, JB, and Lewis, BA. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J Dairy Sci. (1991) 74:3583–97. doi: 10.3168/jds.S0022-0302(91)78551-2

PubMed Abstract | Crossref Full Text | Google Scholar

23. Kh, M. Estimation of the energetic feed value obtained from chemical analysis and in vitro gas production using rumen fluid. Anim Res Dev. (1988) 28:7–55.

Google Scholar

24. ANKOM Technology. Ankom gas production system Operator’s manual. Macedon, NY: ANKOM Technology (2018).

Google Scholar

25. Park, K, and Lee, H. Effects of nitrogen gas Flushing in comparison with argon on rumen fermentation characteristics in in vitro studies. J Anim Sci Technol. (2020) 62:52–7. doi: 10.5187/jast.2020.62.1.52

PubMed Abstract | Crossref Full Text | Google Scholar

26. Schofield, P, Pitt, R, and Pell, A. Kinetics of Fiber digestion from in vitro gas production. J Anim Sci. (1994) 72:2980–91. doi: 10.2527/1994.72112980x

Crossref Full Text | Google Scholar

27. Chaney, AL, and Marbach, EP. Modified reagents for determination of urea and Ammonia. Clin Chem. (1962) 8:130–2. doi: 10.1093/clinchem/8.2.130

Crossref Full Text | Google Scholar

28. Bodas, R, Lõpez, S, Fernandez, M, Garcïa-Gonzãlez, R, Rodrïguez, A, Wallace, R, et al. In vitro screening of the potential of numerous plant species as anti-methanogenic feed additives for ruminants. Anim Feed Sci Technol. (2008) 145:245–58. doi: 10.1016/j.anifeedsci.2007.04.015

Crossref Full Text | Google Scholar

29. Durmic, Z, Hutton, P, Revell, D, Emms, J, Hughes, S, and Vercoe, P. In vitro fermentative traits of Australian Woody perennial plant species that may be considered as potential sources of feed for grazing ruminants. Anim Feed Sci Technol. (2010) 160:98–109. doi: 10.1016/j.anifeedsci.2010.07.006

Crossref Full Text | Google Scholar

30. Getachew, G, Robinson, P, Depeters, E, and Taylor, S. Relationships between chemical composition, dry matter degradation and in vitro gas production of several ruminant feeds. Anim Feed Sci Technol. (2004) 111:57–71. doi: 10.1016/S0377-8401(03)00217-7

Crossref Full Text | Google Scholar

31. Kim, W, Hanigan, M, Lee, S, Lee, S, Kim, D, Hyun, J, et al. Effects of Cordyceps Militaris on the growth of rumen microorganisms and in vitro rumen fermentation with respect to methane emissions. J Dairy Sci. (2014) 97:7065–75. doi: 10.3168/jds.2014-8064

PubMed Abstract | Crossref Full Text | Google Scholar

32. Mcsweeney, C, and Mackie, R. Micro-organisms and ruminant digestion: state of knowledge, trends and future prospects. United States: Food and Agriculture Organization (2012).

Google Scholar

33. Koike, S, and Kobayashi, Y. Fibrolytic rumen bacteria: their ecology and functions. Asian Australas J Anim Sci. (2009) 22:131–8. doi: 10.5713/ajas.2009.r.01

Crossref Full Text | Google Scholar

34. Li, R, Tang, N, Jia, X, Xu, Y, and Cheng, Y. Antidiabetic activity of galactomannan from Chinese Sesbania Cannabina and its correlation of regulating intestinal microbiota. J Funct Foods. (2021) 83:104530. doi: 10.1016/j.jff.2021.104530

Crossref Full Text | Google Scholar

35. Newbold, C, Mcintosh, F, and Wallace, R. Changes in the microbial population of a rumen-simulating fermenter in response to yeast culture. Can J Anim Sci. (1998) 78:241–4. doi: 10.4141/A97-086

Crossref Full Text | Google Scholar

36. Cappellozza, BI, Segura, A, Milora, N, Galschioet, C, Schjelde, M, and Copani, G. Stability of Bacillus and Enterococcus Faecium 669 probiotic strains when added to different feed matrices used in dairy production. Animals. (2023) 13:2350. doi: 10.3390/ani13142350

PubMed Abstract | Crossref Full Text | Google Scholar

37. Esawy, MA, Ahmed, EF, Helmy, WA, Mansour, NM, El-Senousy, WM, and El-Safty, MM. Production of Levansucrase from novel honey Bacillus Subtilis isolates capable of producing antiviral Levans. Carbohydr Polym. (2011) 86:823–30. doi: 10.1016/j.carbpol.2011.05.035

Crossref Full Text | Google Scholar

38. Suntara, C, Cherdthong, A, Wanapat, M, Uriyapongson, S, Leelavatcharamas, V, Sawaengkaew, J, et al. Isolation and characterization of yeasts from rumen fluids for potential use as additives in ruminant feeding. Vet Sci. (2021) 8:52. doi: 10.3390/vetsci8030052

PubMed Abstract | Crossref Full Text | Google Scholar

39. Vallejo-Hernãndez, LH, Elghandour, MM, Greiner, R, Anele, UY, Rivas-Cãceres, RR, Barros-Rodrïguez, M, et al. Environmental impact of yeast and exogenous xylanase on mitigating carbon dioxide and enteric methane production in ruminants. J Clean Prod. (2018) 189:40–6. doi: 10.1016/j.jclepro.2018.03.310

Crossref Full Text | Google Scholar

40. Flachowsky, G. Carbon-footprints for food of animal origin, reduction potentials and research need. J Appl Anim Res. (2011) 39:2–14. doi: 10.1080/09712119.2011.570047

Crossref Full Text | Google Scholar

41. Jeyanathan, J, Martin, C, and Morgavi, D. The use of direct-fed Microbials for mitigation of ruminant methane emissions: a review. Animal. (2014) 8:250–61. doi: 10.1017/S1751731113002085

PubMed Abstract | Crossref Full Text | Google Scholar

42. Kim, Y-J, Jeon, J-N, Jang, M-G, Oh, JY, Kwon, W-S, Jung, S-K, et al. Ginsenoside profiles and related gene expression during foliation in Panax Ginseng Meyer. J Ginseng Res. (2014) 38:66–72. doi: 10.1016/j.jgr.2013.11.001

PubMed Abstract | Crossref Full Text | Google Scholar

43. Lorent, J, Lins, L, Domenech, OS, Quetin-Leclercq, J, Brasseur, R, and Mingeot-Leclercq, M-P. Domain formation and Permeabilization induced by the Saponin Α-Hederin and its Aglycone Hederagenin in a cholesterol-containing bilayer. Langmuir. (2014) 30:4556–69. doi: 10.1021/la4049902

PubMed Abstract | Crossref Full Text | Google Scholar

44. Kholif, AE. A review of effect of Saponins on ruminal fermentation, health and performance of ruminants. Vet Sci. (2023) 10:450–12. doi: 10.3390/vetsci10070450

Crossref Full Text | Google Scholar

45. Newbold, CJ, De La Fuente, G, Belanche, A, Ramos-Morales, E, and Mcewan, NR. The role of ciliate protozoa in the rumen. Front Microbiol. (2015) 6:1313. doi: 10.3389/fmicb.2015.01313

Crossref Full Text | Google Scholar

46. Allison, MJ, and Bryant, MP. Biosynthesis of branched-chain amino acids from branched-chain fatty acids by rumen Bacteria. Arch Biochem Biophys. (1963) 101:269–77. doi: 10.1016/S0003-9861(63)80012-0

Crossref Full Text | Google Scholar

47. Mitchell, KE, Socha, MT, Kleinschmit, DH, Moraes, LE, Roman-Garcia, Y, and Firkins, JL. Assessing milk response to different combinations of branched-chain volatile fatty acids and valerate in jersey cows. J Dairy Sci. (2023) 106:4018–29. doi: 10.3168/jds.2022-22545

PubMed Abstract | Crossref Full Text | Google Scholar

48. Sun, P, Li, J, Bu, D, Nan, X, and Du, H. Effects of Bacillus Subtilis natto and different components in culture on rumen fermentation and rumen functional Bacteria in vitro. Curr Microbiol. (2016) 72:589–95. doi: 10.1007/s00284-016-0986-z

PubMed Abstract | Crossref Full Text | Google Scholar

49. Faccenda, A, Zambom, MA, De Avila, AS, Garcias, J, Eckstein, EI, Fornari, JL, et al. Nutrient digestibility and ruminal parameters of cattle fed dried brewers grains and Saccharomyces Cerevisiae. Livest Sci. (2019) 225:109–15. doi: 10.1016/j.livsci.2019.05.003

Crossref Full Text | Google Scholar

50. Zhu, W, Wei, Z, Xu, N, Yang, F, Yoon, I, Chung, Y, et al. Effects of Saccharomyces Cerevisiae fermentation products on performance and rumen fermentation and microbiota in dairy cows fed a diet containing low quality forage. J Anim Sci Biotechnol. (2017) 8:1–9. doi: 10.1186/s40104-017-0167-3

Crossref Full Text | Google Scholar

51. Hassan, A, Gado, H, Anele, UY, Berasain, MAM, and Salem, AZM. Influence of dietary probiotic inclusion on growth performance, nutrient utilization, ruminal fermentation activities and methane production in growing lambs. Anim Biotechnol. (2019) 31:365–72. doi: 10.1080/10495398.2019.1604380

PubMed Abstract | Crossref Full Text | Google Scholar

52. Sallam, SM, Abdelmalek, ML, Kholif, AE, Zahran, SM, Ahmed, MH, Zeweil, HS, et al. The effect of Saccharomyces Cerevisiae live cells and aspergillus Oryzae fermentation extract on the Lactational performance of dairy cows. Anim Biotechnol. (2020) 31:491–7. doi: 10.1080/10495398.2019.1625783

PubMed Abstract | Crossref Full Text | Google Scholar

53. Guo, Y, Li, Z, Deng, M, Li, Y, Liu, G, Liu, D, et al. Effects of a multi-strain probiotic on growth, health, and fecal bacterial Flora of neonatal dairy calves. Anim Biosci. (2022) 35:204–16. doi: 10.5713/ab.21.0084

PubMed Abstract | Crossref Full Text | Google Scholar

54. Sharma, K, Kaur, R, Kumar, S, Saini, RK, Sharma, S, Pawde, SV, et al. Saponins: a concise review on food related aspects, applications and health implications. Food Chem Adv. (2023) 2:100191. doi: 10.1016/j.focha.2023.100191

Crossref Full Text | Google Scholar

55. Yoshikawa, M, Sugimoto, S, Kato, Y, Nakamura, S, Wang, T, Yamashita, C, et al. Acylated Oleanane-type triterpene Saponins with acceleration of gastrointestinal transit and inhibitory effect on pancreatic lipase from flower buds of Chinese tea plant (Camellia Sinensis). Chem Biodivers. (2009) 6:903–15. doi: 10.1002/cbdv.200800153

PubMed Abstract | Crossref Full Text | Google Scholar

56. Dou, F, Xi, M, Wang, J, Tian, X, Hong, L, Tang, H, et al. Α-glucosidase and-amylase inhibitory activities of Saponins from traditional Chinese medicines in the treatment of diabetes mellitus. Pharmazie. (2013) 68:300–4. doi: 10.1691/ph.2013.2753

Crossref Full Text | Google Scholar

57. Riddell, J, Gallegos, A, Harmon, D, and Mcleod, K. Addition of a bacillus based probiotic to the diet of preruminant calves: influence on growth, health, and blood parameters. Int J Appl Res Vet Med. (2010) 8:78–85.

Google Scholar

58. Kelsey, AJ, and Colpoys, JD. Effects of dietary probiotics on beef cattle performance and stress. J Vet Behav. (2018) 27:8–14. doi: 10.1016/j.jveb.2018.05.010

Crossref Full Text | Google Scholar

59. Gressley, T, Hall, M, and Armentano, L. Ruminant nutrition symposium: productivity, digestion, and health responses to hindgut acidosis in ruminants. J Anim Sci. (2011) 89:1120–30. doi: 10.2527/jas.2010-3460

Crossref Full Text | Google Scholar

60. Demeyer, D. Quantitative aspects of microbial metabolism in the rumen and hindgut In: JP Jouany, editor. Rumen microbial metabolism and ruminant digestion. Paris: INRA (1991). 217–37.

Google Scholar

61. Geng, CY, Ren, LP, Zhou, ZM, Chang, Y, and Meng, QX. Comparison of active dry yeast (Saccharomyces Cerevisiae) and yeast culture for growth performance, carcass traits, meat quality and blood indexes in finishing bulls. Anim Sci J. (2016) 87:982–8. doi: 10.1111/asj.12522

Crossref Full Text | Google Scholar

62. Kim, B, Kwon, J, Kim, M-S, Park, H, Ji, Y, Holzapfel, W, et al. Protective effects of Bacillus probiotics against high-fat diet-induced metabolic disorders in mice. PLoS One. (2018) 13:E0210120. doi: 10.1371/journal.pone.0210120

PubMed Abstract | Crossref Full Text | Google Scholar

63. Kim, SB, Ahn, B, Kim, M, Ji, H-J, Shin, S-K, Hong, IP, et al. Effect of Cordyceps militaris extract and active constituents on metabolic parameters of obesity induced by high-fat diet in C58bl/6j mice. J Ethnopharmacol. (2014) 151:478–84. doi: 10.1016/j.jep.2013.10.064

PubMed Abstract | Crossref Full Text | Google Scholar

64. Kwon, K, Margarette, K, Jeon, H-E, Han, S-J, Woo, H-C, Heo, S, et al. Market weight, slaughter age, and yield grade to determine economic carcass traits and primal cuts yield of Hanwoo beef. J Anim Sci Technol. (2022) 64:143–54. doi: 10.5187/jast.2021.e136

PubMed Abstract | Crossref Full Text | Google Scholar

65. Sung, K-I, Ghassemi Nejad, J, Hong, S-M, Ohh, S-J, Lee, B-H, Peng, J-L, et al. Effects of forage level and chromium-methionine chelate supplementation on performance, carcass characteristics and blood metabolites in Korean native (Hanwoo) steers. J Anim Sci Technol. (2015) 57:1–7. doi: 10.1186/s40781-015-0043-7

Crossref Full Text | Google Scholar

66. Mancini, R, and Hunt, M. Current research in meat color. Meat Sci. (2005) 71:100–21. doi: 10.1016/j.meatsci.2005.03.003

Crossref Full Text | Google Scholar

67. Sakowski, T, Grodkowski, G, Gołebiewski, M, Slõsarz, J, Kostusiak, P, Solarczyk, P, et al. Genetic and environmental determinants of beef quality—a review. Front Vet Sci. (2022) 9:819605. doi: 10.3389/fvets.2022.819605

PubMed Abstract | Crossref Full Text | Google Scholar

68. Mahmood, S, Dixon, W, and Bruce, H. Cattle production practices and the incidence of dark cutting beef. Meat Sci. (2019) 157:107873. doi: 10.1016/j.meatsci.2019.107873

PubMed Abstract | Crossref Full Text | Google Scholar

69. Jo, J-H, Ghassemi Nejad, J, Peng, D-Q, Kim, H-R, Kim, S-H, and Lee, H-G. Characterization of short-term heat stress in Holstein dairy cows using altered indicators of metabolomics, blood parameters, Milk Microrna-216 and characteristics. Animals. (2021) 11:722. doi: 10.3390/ani11030722

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: C. militaris, probiotics, rumen, Korean-native steers, feed additive

Citation: Ju M-S, Jo Y-H, Kim Y-R, Ghassemi Nejad J, Lee J-G and Lee H-G (2024) Supplementation of complex natural feed additive containing (C. militaris, probiotics and red ginseng by-product) on rumen-fermentation, growth performance and carcass characteristics in Korean native steers. Front. Vet. Sci. 10:1300518. doi: 10.3389/fvets.2023.1300518

Received: 23 September 2023; Accepted: 01 December 2023;
Published: 15 January 2024.

Edited by:

Arda Yıldırım, Gaziosmanpaşa University, Türkiye

Reviewed by:

Maharach Matra, Khon Kaen University, Thailand
Zhe Sun, Jilin Agricultural University, China

Copyright © 2024 Ju, Jo, Kim, Ghassemi Nejad, Lee and Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hong-Gu Lee, hglee66@konkuk.ac.kr

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.