Abstract
Much research on animal feed has focused on finding alternative feed ingredients that can replace conventional ones (e.g., grains and beans) to reduce feed costs. The objective of this study was to evaluate the economic, as well as nutritional value of spent coffee grounds (SCG) and Japanese mugwort (Artemisia princeps) residues (APR) as alternative feed ingredients for ruminants. We also investigated whether pre-fermentation using Lactobacillus spp. was a feasible way to increase the feed value of these by-products. Chemical analyses and an in vitro study were conducted for SCG, APR, and their pre-fermented forms. All the experimental diets for in vitro ruminal fermentation were formulated to contain a similar composition of crude protein, neutral detergent fiber and total digestible nutrients at 1x maintenance feed intake based on the dairy National Research Council (NRC). The control diet was composed of ryegrass, corn, soybean meal, whereas the treatments consisted of SCG, SCG fermented with Lactobacillus spp. (FSCG), APR, and its fermented form (FAPR). The treatment diets replaced 100 g/kg dry matter (DM) of the feed ingredients in the control. Costs were lower for the all treatments, except FAPR, than that of the control. After 24-h incubation, the NDF digestibility of the diets containing SCG and its fermented form were significantly lower than those of the other diets (P < 0.01); pre-fermentation tended to increase NDF digestibility (P = 0.07), especially for APR. Supplementation of SCG significantly decreased total gas production (ml/g DM) after 24-h fermentation in comparison with the control (P < 0.05); however, there were no significant differences between the control and the SCG or the APR diets in total gas production, as expressed per Korean Won (KRW). Diets supplemented with SCG or FSCG tended to have a higher total volatile fatty acid (VFA) concentration, expressed as per KRW, compared with the control (P = 0.06). Conversely, the fermentation process of SCG and APR significantly decreased total gas production and VFA production as expressed per KRW (P < 0.05). Because of their nutrient composition and relatively lower cost, we concluded that SCG and APR could be used as alternative feed sources, replacing conventional feed ingredients. However, pre-fermentation of agricultural by-products, such as SCG and APR, may be inappropriate for improving their nutritive considering the increase in production costs.
Keywords: Artemisia princeps residues, In vitro rumen fermentation, Lactobacillus fermentation, Spent coffee grounds
Introduction
Research on animal feed has often focused on finding alternative feed ingredients to replace conventional ones (e.g., grains and beans) in order to reduce feed costs. This is most important in developing countries where the supplies of cereal grains and beans are not great enough to support even the human population. Historically, by-products from processing crops and food products have received much attention as feed alternatives because of their consistent and mass production. Food by-products would also likely be inexpensive because of their classification as a waste product. Many by-products, however, do not contain enough nutrients to support livestock requirements, and their palatability and digestibility would need to be enhanced, even for ruminants. Pre-fermentation of these by-products by bacteria (Han, 1975; Han, 1978), yeast (Wanapat et al., 2011), or fungi (Salman et al., 2008) are common methods to enhance their nutritional value (see Mahesh & Mohini (2013) for a review).
Although fermentation may improve the nutritional quality of the by-products, and it is an environmentally sustainable practice, it will increase the cost for feed production. This additional cost is often ignored by researchers. To make the fermentation process feasible, the production costs of a fermented by-product must to be competitive with conventional feed ingredients (Wanapat, Kang & Polyorach, 2013). Therefore, the economic value, as well as nutritional value, of fermented by-products must be considered simultaneously.
In this study, we evaluated the economic and nutritional values of spent coffee grounds (SCG) and Japanese mugwort (Artemisia princeps) residues (APR), as well as their fermented products as potentially cost-effective feed ingredients for ruminants. An in vitro ruminal fermentation study where Total mixed rations (TMR) was supplemented with SCG or APR was conducted. These by-products were chosen primarily because of the rapid increase of production, and the relatively high content of nutrients and bio-active compounds. SCG are generated during the manufacture of instant coffee. It is the residue that remains after brewing raw coffee powders with hot water or steam. Annually, 6-million tons of SCG are produced worldwide and most of it is burned as waste, resulting in greenhouse gas emissions (Tokimoto et al., 2005). There have been studies on the potential of SCG as a feed source for ruminants (Campbell et al., 1976; Bartley et al., 1978; Givens & Barber, 1986; Xu et al., 2007) and even for monogastric animals (Sikka, Bakshi & Ichhponani, 1985; Sikka & Chawla, 1986). Xu et al. (2007) concluded that wet coffee grounds could be included up to 100 g/kg on a dry matter (DM) basis in total mixed rations (TMR) for goats. APR is a by-product from the traditional Korean medicine industry; it is produced during harvesting and processing of leaves. Positive effects were observed in growth performance of broilers supplemented by Lactobacillus-fermented APR (Kim et al., 2012). To the best of our knowledge, however, there has been no attempt to assess the feasibility of fermented SCG or APR as a feed alternative in ruminants based on both their nutritional and economic values.
Materials and Methods
Two cannulated non-lactating Holstein cows at Center for Animal Science Research, Chungnam National University, Korea were used in this study. Animal use and the protocols for this experiment were reviewed and approved by the Chungnam National University Animal Research Ethics Committee (CNU-00455).
Preparation of experimental diets
The feed ingredients used in this study were ryegrass, corn, soy bean meal (SBM), SCG, APR, and the Lactobacillus-fermented forms of SCG and APR (FSCG and FAPR, respectively). SCG were purchased from an instant coffee manufacturer (Dongseo Food, Inc., Bupyeong, Korea), and APR was obtained from the Ganghwa Agricultural R&D Center (Incheon, Korea). The fermentation process for SCG and APR with Lactobacillus spp. was conducted as described by Kim et al. (2012). Briefly, four strains of Lactobacillus spp. (L. acidophilus ATCC 496, L. fermentum ATCC 1493 (American Type Culture Collection: Virginia, USA), L. plantarum KCTC 1048 (Korean Collection Type Culture, Daejeon, Korea), and L. casei IFO 3533 (Korea Food Research Institute, Daejeon, Korea)) were used to ferment SCG and APR. A 1l culture medium was inoculated with a 2 ml aliquot containing 109 cfu/ml of each Lactobacillus strain (de Man, Rogosa, and Sharpe broth (Difco Laboratories, Francisco Soria Melquizo S.A., Madrid, Spain), 10 g; sucrose, 10 g) and incubated at 36 °C for 24 h (h). Next, 4 kg of dried SCG and APR were mixed with 400 ml of prepared Lactobacillus inoculum in a fermentation flask and incubated for 72 h at 36 °C. The fermented by-products were obtained after freeze-drying the cultured substrate and media for 2 days following the manufacture’s recommendations (ilShinBioBase, Inc., Korea).
All of the diets that included in vitro fermentation were formulated to meet nutrient requirements for non-lactating dairy cows (total digestible nutrient at 1x maintenance feed intake (TDN1x), 680 g/kg; crude protein (CP), 120 g/kg; neutral detergent fiber (NDF), 420 g/kg on a DM basis) according to the National Research Council (NRC, 2001). The control diet was composed of 500 g/kg of ryegrass and 500 g/kg of a corn and SBM mix. The four experimental diets (SCG, FSCG, APR, and FAPR) were formulated to contain TDN1x, CP, and NDF contents (g/kg DM) similar to the control, replacing original ingredients with 100 g/kg DM of SCG, FSCG, APR or FAPR, respectively.
In vitro incubation
Rumen fluid was collected before the morning feeding from two cannulated non-lactating Holstein cows fed a ration consisting of 600 g/kg timothy hay and 400 g/kg of a commercial concentrate mix (123 ± 8.8 g/kg CP, 35 ± 6.4 g/kg ether extract (EE), 265 ± 6.9 g/kg NDF, and 109 ± 1.2 g/kg ash) twice daily at the Center for Animal Science Research, Chungnam National University, Korea. The rumen contents were mixed and transferred into a thermos bottle, and immediately transported to the laboratory. Rumen contents were strained through 4 layers of cheesecloth and mixed with 4x volumes of in vitro rumen buffer solution (Goering & Van Soest, 1970) under strictly anaerobic conditions. Fifty ml of rumen fluid/buffer mixture was transferred into 125 ml serum bottles containing 0.5 g of experimental diets under continuous flushing with O2-free CO2 gas. The bottles were sealed with butyl rubber stoppers and aluminum caps, and incubated for 0, 3, 6, 9, 12, 24, and 48 h at 39 °C.
Analyses
Contents of DM (#934.01), CP (#976.05), EE (#920.39), lignin (ADL; #973.18) and ash (#942.05) in the feed samples were determined as described by AOAC (2005). NDF, analyzed using a heat stable amylase and expressed inclusive of residual ash, and acid detergent fiber (ADF) were determined as described by Van Soest, Robertson & Lewis (1991). Neutral detergent insoluble crude protein (NDICP) and acid detergent insoluble crude protein (ADICP) were determined as described by Licitra, Hernandez & Van Soest (1996). Non-fiber carbohydrate (NFC) was calculated as 1000-CP-EE-Ash-(NDF-NDICP) based on NRC (2001).
For phenolic acid analysis, caffeic acid, p-coumaric acid, ferulic acid, and sinapic acid (#C0625, #C9008, #12870, and #D7927, respectively; Sigma-Aldrich, St. Louis, Missouri, USA) were used as standards. Identification of phenolic acids in the SCG and APR samples was based primarily on retention time, UV spectra obtained from high-performance liquid chromatography (HPLC-DAD), and mass spectrometric data using authentic standards. Phenolic acids were analyzed as described by Rochfort et al. (2006).
After each incubation period, total gas production was measured using a pressure transducer (Sun Bee Instruments, Inc., Seoul, Korea) as described by Theodorou et al. (1994). Next, 5 ml of head space gas was collected using a gas tight syringe (Hamilton, Reno, Nevada, USA) for analysis of CH4 using a gas chromatograph (Daesung Science IGC-7200, Seoul, Korea) equipped with a thermal conductivity detector and HayeSep Q 80/100 column (Restek, Bellefonte, Pennsylvania, US). The pH of the cultured fluid was measured with a general purpose pH meter (Istek Inc., Seoul, Korea). The cultured fluid was then centrifuged at 14,000 rpm for 10 min at 4 °C, and the supernatant was used for the analyses of volatile fatty acid (VFA) and ammonia concentrations. The remaining undegraded samples and fluid were analyzed for NDF using a modified version of the micro-NDF method proposed by Pell & Schofield (1993) for measuring NDF degradability. VFA concentrations were determined as described by Erwin, Marco & Emery (1961). Ammonia concentration was analyzed by the method of Chaney & Marbach (1962).
For the economic analysis, the price of each feed ingredient was estimated and expressed in Korean won (KRW). The average market prices of ryegrass, corn, and SBM in 2009 were used (i.e., 364, 317, and 660 KRW/kg DM, respectively). The prices of SCG and APR (i.e., 91 and 235 KRW/kg DM, respectively) were obtained from the respective manufacturers. Prices of FSCG and FAPR (i.e., 270 and 429 KRW/kg DM, respectively) were calculated by adding SCG and APR prices to the cost for the fermentation process (i.e., 200 KRW/kg as fed). The cost of the fermentation process included expenses for microbial strains, culture medium, labor, use of fermenter instruments, and manufacturing.
Statistical analysis
The experiment was conducted using a completely randomized design, and the data were analyzed using the GLM procedure of SAS (SAS Institute Inc., Carey, North Carolina, USA) as:
where: yij is the jth observation in the ith treatment, μ is the overall mean,τi is the fixed effect of the ith treatment (i = 1–5), and eij is the unexplained random effect on the jth observation in the ith treatment. Four contrasts were tested: the difference between the control and SCG (control versus SCG and FSCG), control and APR (control versus APR and FAPR), SCG and APR (SCG and FSCG versus APR and FAPR), and non-fermented and fermented groups (SCG and APR versus FSCG and FAPR). Differences among treatments were also compared with the Tukey’s test when there was a significant overall treatment effect. Statistical significance was defined as P < 0.05, and a trend was discussed at 0.05 ≤ P < 0.10.
Results
Both by-products had higher amounts of fiber and lower NFC compared with corn or SBM, and SCG had a markedly high level (>100 g/kg DM) of EE (Table 1). Phenolic acid contents of SCG and APR were 3.22 and 2.80 mg/g DM, respectively. More specifically, the concentrations of caffeic acid, p-coumaric acid, ferulic acid, and sinapic acid were 1.07, 0.42, 1.70, and 0.04 mg/g DM and 1.72, 0.77, 0.32, and 0.00 mg/g DM in SCG and APR, respectively. The fermentation process increased feed cost and decreased NFC contents in both by-products (Table 1). The fermentation process also increased NDF content.
Table 1. Chemical composition (g/kg, DM basis) and estimated price (KRW/kg DM) of each feed ingredient.
Feed ingredientsa | |||||||
---|---|---|---|---|---|---|---|
Item | Ryegrass | Corn | SBM | SCG | FSCG | APR | FAPR |
DM (g/kg as fed) | 954 | 907 | 900 | 550 | 925 | 850 | 932 |
CP | 81 | 103 | 513 | 138 | 141 | 107 | 103 |
EE | 8 | 34 | 15 | 136 | 157 | 18 | 17 |
Ash | 54 | 42 | 62 | 20 | 18 | 91 | 95 |
NDF | 739 | 116 | 237 | 656 | 792 | 649 | 706 |
ADF | 481 | 61 | 105 | 451 | 526 | 538 | 523 |
ADL | 54 | 22 | 26 | 142 | 146 | 99 | 74 |
NDICP | 46 | 33 | 217 | 105 | 114 | 59 | 47 |
ADICP | 22 | 32 | 139 | 95 | 100 | 42 | 23 |
NFC | 164 | 738 | 390 | 155 | 6 | 194 | 127 |
Feed priceb (KRW/kg DM) | 364 | 317 | 660 | 91 | 270 | 235 | 429 |
Notes.
SBM; soybean meal, SCG; spent coffee grounds, FSCG; fermented spent coffee grounds, APR; Artemisia princeps residues, FAPR; fermented Artemisia princeps residues.
The prices for ryegrass, corn, and SBM are the average market prices in Korea in 2009. The prices of SCG and APR were obtained from the respective manufacturers (Dongseo Food, Inc., and Ganghwa Agricultural R&D Center, respectively). For the prices of FSCG and FAPR, the cost for the fermentation process, including the expenses for microbial strains, culture medium, labor, and use of fermenter instruments was calculated and added to their raw prices.
All the experimental diets for the in vitro fermentation contained similar TDN1x (677–683 g/kg DM), CP (120 g/kg DM), and NDF (423–444 g/kg DM) contents (Table 2), and their prices were calculated based on the prices of each feed ingredient (Table 1) and the formulated ratio of respective treatments (Table 2). The Korea Won was the unit to estimate cost of experimental diets. Compared to the control diet, inclusion of the by-products reduced the price of formulated diet (14–30 KRW/kg DM), except for FAPR which increased the price by 4 KRW/kg DM (Table 2). The use of fermented by-products increased the cost of diets by 6–20 KRW/kg DM.
Table 2. Ingredients, analyzed chemical composition (g/kg, DM basis), and estimated cost (KRW/kg DM) of experimental diets.
Experimental dietsb | |||||
---|---|---|---|---|---|
Items | Control | SCG | FSCG | APR | FAPR |
Ingredientsa | |||||
Ryegrass | 500 | 430 | 408 | 393 | 386 |
Corn | 432 | 414 | 438 | 445 | 451 |
SBM | 69 | 56 | 54 | 62 | 63 |
SCG | 0 | 100 | 0 | 0 | 0 |
FSCG | 0 | 0 | 100 | 0 | 0 |
APR | 0 | 0 | 0 | 100 | 0 |
FAPR | 0 | 0 | 0 | 0 | 100 |
Analyzed chemical composition | |||||
DM | 930 | 929 | 933 | 933 | 926 |
CP | 120 | 120 | 120 | 120 | 120 |
EE | 20 | 32 | 35 | 21 | 21 |
Ash | 50 | 46 | 46 | 53 | 53 |
NDF | 436 | 444 | 444 | 423 | 432 |
ADF | 274 | 283 | 281 | 277 | 272 |
ADL | 38 | 48 | 48 | 42 | 40 |
NDICP | 52 | 56 | 57 | 52 | 51 |
ADICP | 34 | 40 | 40 | 36 | 34 |
NFC | 427 | 414 | 412 | 435 | 425 |
TDN1x | 680 | 683 | 687 | 677 | 680 |
Estimated cost (KRW/kg DM) | 364 | 334 | 350 | 348 | 368 |
Notes.
SBM; soybean meal, SCG; spent coffee grounds, FSCG; fermented spent coffee grounds, APR; Artemisia princeps residues, FAPR; fermented Artemisia princeps residues.
The SCG, FSCG, APR and FAPR treatments contained 100 g/kg of SCG, FSCG, APR, and FAPR, respectively.
Supplementation of APR or FAPR significantly reduced pH compared to other treatments (P < 0.01, Table 3). Ammonia nitrogen concentration did not differ among treatments. NDF digestibility of the SCG group was significantly lower than that of the other diets (P < 0.01) and the fermentation process tended to increase NDF digestibility (P = 0.07), especially that of APR (P < 0.05, Table 3). Compared to the control diet, supplementation of SCG significantly decreased total gas production (ml/g DM) after 24 h fermentation (P < 0.05, Table 3). The fermentation process of SCG and APR tended to decrease total gas production (P = 0.10) and significantly decreased total gas production per KRW (ml/KRW). No statistical difference in CH4 production (ml/g DM) was observed among treatments; however, there was a tendency for a decrease in CH4 production with SCG supplementation as compared to that of APR (P = 0.07). Significant differences were not detected in total VFA production (mmol/g DM), proportion of acetate (mmol/mol), proportion of propionate (mmol/mol), or acetate:propionate ratio. The diet supplemented with SCG or FSCG; however, tended to have a higher total VFA concentration per KRW (mmol/KRW) compared to the control (P = 0.06). Moreover, the fermentation process of SCG and APR significantly decreased total VFA production (mmol/KRW) (P < 0.05). There were significant differences among the experimental diets in the proportion of butyrate (P < 0.01, Table 3).
Table 3. Fermentation characteristics and CH4 production after 24 h in vitro incubation of the experimental diets using strained ruminal fluid.
Treatmentsa | P-value | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Item | Control | SCG | FSCG | APR | FAPR | SEMb | Overall | Control vs. SCG | Control vs. APR | SCG vs. APR | Fermen-tationc |
pH | 6.58d | 6.59d | 6.58d | 6.55e | 6.55e | 0.000 | <0.01 | 0.07 | <0.01 | <0.01 | 0.63 |
NH3–N, mg/100 ml | 11.9 | 12.1 | 11.5 | 11.7 | 11.5 | 0.24 | 0.39 | 0.79 | 0.27 | 0.30 | 0.20 |
NDF digestibility, g/kg DM | 293.5de | 252.4e | 242.3e | 259.8e | 316.9d | 11.43 | <0.01 | <0.01 | 0.72 | <0.01 | 0.07 |
Gas production, ml/g DM | 193.7 | 184.6 | 180.7 | 192.2 | 184.4 | 3.20 | 0.07 | <0.05 | 0.20 | 0.11 | 0.10 |
Gas production, ml/KRW | 532.7de | 553.5d | 516.9de | 551.8d | 501.9e | 9.03 | <0.01 | 0.83 | 0.61 | 0.38 | <0.01 |
CH4, ml/g DM | 19.2 | 18.1 | 18.0 | 18.8 | 20.3 | 0.78 | 0.27 | 0.24 | 0.71 | 0.07 | 0.39 |
VFA profiles | |||||||||||
Total VFA, mmol/g DM | 5.99 | 5.87 | 5.82 | 5.97 | 6.06 | 0.090 | 0.41 | 0.24 | 0.80 | 0.09 | 0.80 |
Total VFA, mmol/KRW | 16.43 | 17.60 | 16.67 | 17.13 | 16.50 | 0.267 | 0.05 | 0.06 | 0.27 | 0.26 | <0.05 |
Acetate, mmol/mol | 602.0 | 601.0 | 598.9 | 599.7 | 599.5 | 1.64 | 0.67 | 0.32 | 0.25 | 0.84 | 0.51 |
Propionate, mmol/mol | 201.2 | 199.4 | 198.4 | 201.0 | 200.9 | 1.37 | 0.55 | 0.20 | 0.88 | 0.16 | 0.70 |
Butyrate, mmol/mol | 166.6e | 168.8de | 172.1d | 168.8de | 169.1de | 0.80 | 0.01 | <0.01 | <0.05 | 0.08 | <0.05 |
A/P ratio | 2.99 | 3.02 | 3.02 | 2.98 | 2.98 | 0.028 | 0.81 | 0.43 | 0.89 | 0.26 | 0.91 |
Notes.
SCG; spent coffee grounds, FSCG; fermented spent coffee grounds, APR; Artemisia princeps residues, FAPR; fermented Artemisia princeps residues. The SCG, FSCG, APR and FAPR treatments contained 100 g/kg of SCG, FSCG, APR, and FAPR, respectively.
SEM; standard error of the mean.
Statistical difference between fermented and non-fermented substrates (SCG, APR vs. FSCG, FAPR).
d,e Means that do not have common superscript differ significantly (P < 0.05).
Discussion
This study was designed to evaluate the nutritional and economic value of two food by-products, SCG and APR, as alternatives to conventional feed ingredients, and to investigate whether the pre-fermentation of these by-products using Lactobacillus spp. could be an economically feasible practice for increasing their nutritional value. These by-products were chosen primarily because of the rapid increase in their production, and their relatively high content of nutrients and bio-active compounds (Wallace, 2007; Acevedo et al., 2013). It was expected that the bio-active phenolic compounds contained in these by-products would modulate rumen microbial activity, fermentation characteristics, and CH4 emission (Acevedo et al., 2013; Kim et al., 2013). Fermentation of selected by-products using Lactobacillus spp. was applied to improve their nutritive values as feed ingredients. However, a dramatic increase of CP by microbial proliferation was not observed in either fermented by-products (Table 1), indicating that phenolic compounds, such as tannins, appear to be resistant to cell wall degradation by microbial inoculants. The decrease in NFC contents observed in fermented by-products (Table 1) indicated that the inoculated microbes might utilize non fiber sugars in both by-products during fermentation period. Both NDICP and ADICP contents were high in SCG, which might be caused by the Maillard reaction that occurs during beverage production under high temperature (Senevirathne et al., 2012).
The use of SCG and APR could decrease the price of diets with similar nutrient contents. Formulated experimental diets using SCG, FSCG, and APR had lower feed cost than the control diet without compromising CP, NDF, or TDN1x contents; however, the experimental diet using FAPR did not (Table 2). This result suggested that the residues (except those of FAPR) may be applied to feed formulation to achieve economic advantages; however, lower NFC and higher EE contents observed in diets having SCG compared to the control diet should be considered when SCG is applied to practical feed formulation. The supplementation fat source can increase energy density in diets but the excessive fat addition limits rumen fermentation, intestinal nutrients absorption (Palmquist, 1994). Because of different nutrient compositions between SCG and APR, SCG tends to replace energy and protein sources, whereas APR replaces forage. Thus, supplementation of SCG is more favorable when the price of protein sources is high, whereas APR would be a more appropriate alternative when the price of forage is high. Both SCG and APR are feed ingredient alternatives for ruminants, particularly if the goal is to reduce feed cost.
Total gas and VFA production after 24 h of in vitro fermentation were investigated to figure out whether both SCG and APR can be alternative feed ingredients in nutritional and economical aspects. Lower gas production observed in SCG treatments than that of the control could have been caused by lower NFC contents compared to the control diet, although they had similar composition in regard to CP, NDF, and TDN1x. Seo et al. (2009) reported that total gas production at 48 h was primarily determined by the NFC content. The diets containing SCG had significantly lower NDF digestibility than the other diets. It was speculated that such phenolic compounds and resistance factors from the Maillard reaction in SCG might be associated with in vitro digestibility (Puchala et al., 2005; Senevirathne et al., 2012). More importantly, there was no significant difference between the control and the SCG supplemented diets in gas production as expressed by ml/KRW, which implied replacement of conventional feed ingredients by SCG could be economically beneficial without compromising ruminal fermentation.
Regarding VFA concentration, diets using APR exhibited a tendency toward increased VFA production at 24 h fermentation compared to SCG (Table 3). Meanwhile, VFA production based on price (mmol/KRW) tended to be higher in samples using SCG than the control group, indicating the use of SCG as the alternative feed source might not cause any negative effects on rumen fermentation. Xu et al. (2007) indicated that the proportion of SCG in TMR should not exceed 10% of DM. Lower nutrient digestibility and VFA production were observed when 20% of SCG was added to TMR in their study. However, since nutrient composition between treatments was not controlled in their studies, the optimal concentration of SCG that could be included in ruminant diets should be tested in terms of both nutritional and economical aspects as described in this study.
Based on the results from in vitro ruminal fermentation, the pre-fermentation process in this study is unlikely a feasible practice to improve the nutritional value of SCG and APR. Although pre-fermentation increased NDF digestibility of APR, there was a significant decrease in VFA production in fermented treatments when expressed based on costs (mmol/KRW). A declining tendency in total gas production was also observed in the pre-fermentation of the by-products. This implies that fermented by-products may not be appropriate as feed alternatives in terms of cost-effectiveness, even though they have a potential to be a feed additive having probiotic functions that include modulation of ruminal fermentation, enhanced fiber digestion, and immune stimulation in the hind-gut (McAllister et al., 2011).
A previous in vitro study using beverage residues found that TMR using SCG had similar CH4 production to the control, whereas, both TMRs showed significantly decreased CH4 production compared to the other TMR using green tea residues (Senevirathne et al., 2012). In this study, CH4 production was numerically decreased in the diet formulated with SCG compared to the control; nevertheless, further research to investigate the effect of SCG usage on rumen fermentation is required because it might have considerable amounts of polyphenolic compounds that can modulate CH4 emission (Puchala et al., 2005), nitrogen metabolism, and the rumen protozoal population (Wallace, 2007).
Conclusions
The results of this study indicated that SCG and APR may be used as alternatives to conventional feed ingredients because of their nutrient composition and relatively low cost. Pre-fermentation of these products, however, may be inappropriate for improving their nutritional content considering the increase in production costs. Further studies on in vivo ruminal fermentation, and whole body digestion and metabolism by supplementing these by-products are warranted.
Supplemental Information
Funding Statement
This research was supported by a Bio-industry Technology Development Program (Project No. 312030-04-3-HD060), Ministry of Agriculture, Food and Rural Affairs. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Additional Information and Declarations
Competing Interests
The authors declare there are no competing interests.
Author Contributions
Jakyeom Seo conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.
Jae Keun Jung performed the experiments, reviewed drafts of the paper.
Seongwon Seo conceived and designed the experiments, contributed reagents/materials/analysis tools, wrote the paper, reviewed drafts of the paper.
Animal Ethics
The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):
Chungnam National University Animal Research Ethics Committee —Approval number: CNU-00455.
References
- Acevedo et al. (2013).Acevedo F, Rubilar M, Scheuermann E, Cancino B, Uquiche E, Garcés M, Inostroza K, Shene C. Spent coffee grounds as a renewable source of bioactive compounds. Journal of Biobased Materials and Bioenergy. 2013;7:420–428. doi: 10.1166/jbmb.2013.1369. [DOI] [Google Scholar]
- AOAC (2005).AOAC . Official methods of analysis of AOAC international. Gaithersburg: Association of Official Analytical Chemists International; 2005. [Google Scholar]
- Bartley et al. (1978).Bartley EE, Ibbetson RW, Chyba LJ, Dayton AD. Coffee grounds. II. Effects of coffee grounds on performance of milking dairy cows and feedlot cattle, and on rumen fermentation and dry matter removal rate. Journal of Animal Science. 1978;47:791–799. [Google Scholar]
- Campbell et al. (1976).Campbell TW, Bartley EE, Bechtle RM, Dayton AD. Coffee grounds. I. Effects of coffee grounds on ration digestibility and diuresis in cattle, on in vitro rumen fermentation, and on rat growth. Journal of Dairy Science. 1976;59:1452–1460. doi: 10.3168/jds.S0022-0302(76)84384-6. [DOI] [PubMed] [Google Scholar]
- Chaney & Marbach (1962).Chaney AL, Marbach EP. Modified reagents for determination of urea and ammonia. Clinical Chemistry. 1962;8:130–132. [PubMed] [Google Scholar]
- Erwin, Marco & Emery (1961).Erwin ES, Marco GJ, Emery EM. Volatile fatty acid analyses of blood and rumen fluid by gas chromatography. Journal of Dairy Science. 1961;44:1768–1771. doi: 10.3168/jds.S0022-0302(61)89956-6. [DOI] [Google Scholar]
- Givens & Barber (1986).Givens DI, Barber WP. In vivo evaluation of spent coffee grounds as a ruminant feed. Agricultural Wastes. 1986;18:69–72. doi: 10.1016/0141-4607(86)90108-3. [DOI] [Google Scholar]
- Goering & Van Soest (1970).Goering HK, Van Soest PJ. Forage fiber analyses (apparatus, reagents, procedures, and some applications) US Agricultural Research Service; 1970. [Google Scholar]
- Han (1975).Han YW. Microbial fermentation of rice straw: nutritive composition and in vitro digestibility of the fermentation products. Applied Microbiology. 1975;29:510–514. doi: 10.1128/am.29.4.510-514.1975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Han (1978).Han YW. Microbial utilization of straw (a review) Advances in Applied Microbiology. 1978;23:119–153. doi: 10.1016/s0065-2164(08)70066-2. [DOI] [PubMed] [Google Scholar]
- Kim et al. (2012).Kim CH, Kim GB, Chang MB, Bae GS, Paik IK, Kil DY. Effect of dietary supplementation of Lactobacillus-fermented Artemisia princeps on growth performance, meat lipid peroxidation, and intestinal microflora in Hy-line Brown male chickens. Poultry Science. 2012;91:2845–2851. doi: 10.3382/ps.2012-02467. [DOI] [PubMed] [Google Scholar]
- Kim et al. (2013).Kim ET, Moon YH, Min KS, Kim CH, Kim SC, Ahn SK, Lee SS. Changes in microbial diversity, methanogenesis and fermentation characteristics in the rumen in response to medicinal plant extracts. Asian-Australas Journal of Animal Science. 2013;26:1289–1294. doi: 10.5713/ajas.2013.13072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Licitra, Hernandez & Van Soest (1996).Licitra G, Hernandez TM, Van Soest PJ. Standardization of procedures for nitrogen fractionation of ruminant feeds. Animal Feed Science and Technology. 1996;57:347–358. doi: 10.1016/0377-8401(95)00837-3. [DOI] [Google Scholar]
- Mahesh & Mohini (2013).Mahesh M, Mohini M. Biological treatment of crop residues for ruminant feeding: a review. African Journal of Biotechnology. 2013;12:4221–4231. doi: 10.5897/AJB2012.2940. [DOI] [Google Scholar]
- McAllister et al. (2011).McAllister TA, Beauchemin KA, Alazzeh AY, Baah J, Teather RM, Stanford K. Review: the use of direct fed microbials to mitigate pathogens and enhance production in cattle. Canadian Journal of Animal Science. 2011;91:1–19. doi: 10.4141/cjas10047. [DOI] [Google Scholar]
- NRC (2001).NRC . Nutrient requirements of dairy cattle. Washington, D.C.: National Academy Press; 2001. [Google Scholar]
- Palmquist (1994).Palmquist DL. The role of dietary fats in efficiency of ruminants. Journal of Nutrition. 1994;124:1377S–1382S. doi: 10.1093/jn/124.suppl_8.1377S. [DOI] [PubMed] [Google Scholar]
- Pell & Schofield (1993).Pell AN, Schofield P. Computerized monitoring of gas production to measure forage digestion in vitro. Journal of Dairy Science. 1993;76:1063–1073. doi: 10.3168/jds.S0022-0302(93)77435-4. [DOI] [PubMed] [Google Scholar]
- Puchala et al. (2005).Puchala R, Min BR, Goetsch AL, Sahlu T. The effect of a condensed tannin-containing forage on methane emission by goats. Journal of Animal Science. 2005;83:182–186. doi: 10.2527/2005.831182x. [DOI] [PubMed] [Google Scholar]
- Rochfort et al. (2006).Rochfort SJ, Imsic M, Jones R, Trenerry VC, Tomkins B. Characterization of flavonol conjugates in immature leaves of pak choi [Brassica rapa L. Ssp. chinensis L. (Hanelt.)] by HPLC-DAD and LC-MS/MS. Journal of Agricultural and Food Chemistry. 2006;54:4855–4860. doi: 10.1021/jf060154j. [DOI] [PubMed] [Google Scholar]
- Salman et al. (2008).Salman F, El-Kadi R, Abdel-Rahman H, Ahmed S, Mohamed M, Shoukry M. Biologically treated sugar beet pulp as a supplement in goat rations. International Journal of Agriculture and Biology. 2008;10:412–416. [Google Scholar]
- Senevirathne et al. (2012).Senevirathne ND, Okamoto T, Takahashi J, Umetsu K, Nishida T. Effect of mixed microbial culture on fermentation of beverage residues and the effect of the fermented beverage residues on in vitro rumen fermentation and methane production. International Journal of Bioscience, Biochemistry and Bioinformatics. 2012;2:349–353. doi: 10.7763/IJBBB.2012.V2.130. [DOI] [Google Scholar]
- Seo et al. (2009).Seo S, Lee SC, Lee SY, Seo JG, Ha JK. Degradation kinetics of carbohydrate fractions of ruminant feeds using automated gas production technique. Asian-Australasian Journal of Animal Sciences. 2009;22:356–364. doi: 10.5713/ajas.2009.80613. [DOI] [Google Scholar]
- Sikka, Bakshi & Ichhponani (1985).Sikka SS, Bakshi MPS, Ichhponani JS. Evaluation in vitro of spent coffee grounds as a livestock feed. Agricultural Wastes. 1985;13:315–317. doi: 10.1016/0141-4607(85)90057-5. [DOI] [Google Scholar]
- Sikka & Chawla (1986).Sikka SS, Chawla JS. Effect of feeding spent coffee grounds on the feedlot performance and carcass quality of fattening pigs. Agricultural Wastes. 1986;18:305–308. doi: 10.1016/0141-4607(86)90076-4. [DOI] [Google Scholar]
- Theodorou et al. (1994).Theodorou MK, Williams BA, Dhanoa MS, McAllan AB, France J. A simple gas production method using a pressure transducer to determine the fermentation kinetics of ruminant feeds. Animal Feed Science and Technology. 1994;48:185–197. doi: 10.1016/0377-8401(94)90171-6. [DOI] [Google Scholar]
- Tokimoto et al. (2005).Tokimoto T, Kawasaki N, Nakamura T, Akutagawa J, Tanada S. Removal of lead ions in drinking water by coffee grounds as vegetable biomass. Journal of Colloid and Interface Science. 2005;281:56–61. doi: 10.1016/j.jcis.2004.08.083. [DOI] [PubMed] [Google Scholar]
- Van Soest, Robertson & Lewis (1991).Van Soest PJ, Robertson JB, Lewis BA. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. Journal of Dairy Science. 1991;74:3583–3597. doi: 10.3168/jds.S0022-0302(91)78551-2. [DOI] [PubMed] [Google Scholar]
- Wallace (2007).Wallace RJ. Antimicrobial properties of plant secondary metabolites. Proceedings of the Nutrition Society. 2007;63:621–629. doi: 10.1079/PNS2004393. [DOI] [PubMed] [Google Scholar]
- Wanapat, Kang & Polyorach (2013).Wanapat M, Kang S, Polyorach S. Development of feeding systems and strategies of supplementation to enhance rumen fermentation and ruminant production in the tropics. Journal of Animal Science and Biotechnology. 2013;4 doi: 10.1186/2049-1891-4-32. Article 32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wanapat et al. (2011).Wanapat M, Polyorach S, Chanthakhoun V, Sornsongnern N. Yeast-fermented cassava chip protein (YEFECAP) concentrate for lactating dairy cows fed on urea–lime treated rice straw. Livestock Science. 2011;139:258–263. doi: 10.1016/j.livsci.2011.01.016. [DOI] [Google Scholar]
- Xu et al. (2007).Xu CC, Cai Y, Zhang JG, Ogawa M. Fermentation quality and nutritive value of a total mixed ration silage containing coffee grounds at ten or twenty percent of dry matter. Journal of Animal Science. 2007;85:1024–1029. doi: 10.2527/jas.2005-628. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.