Next Article in Journal
Effects of Artificial Sugar Supplementation on the Composition and Nutritional Potency of Honey from Apis cerana
Previous Article in Journal
Temperature Dependency of Insect’s Wingbeat Frequencies: An Empirical Approach to Temperature Correction
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effects of Black Soldier Fly (Hermetia illucens L., BSF) Larvae Addition on In Vitro Fermentation Parameters of Goat Diets

1
School of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand
2
Institute of Animal Nutrition and Feed Science, Guizhou University, Guiyang 550025, China
3
Program in Agriculture, Faculty of Science and Technology, Nakhon Ratchasima Rajabhat University, Nakhon Ratchasima 30000, Thailand
4
Institute of Animal Husbandry and Veterinary, Guizhou Academy of Agricultural Sciences, Guiyang 550005, China
*
Author to whom correspondence should be addressed.
Insects 2024, 15(5), 343; https://doi.org/10.3390/insects15050343
Submission received: 10 April 2024 / Revised: 3 May 2024 / Accepted: 8 May 2024 / Published: 10 May 2024
(This article belongs to the Section Role of Insects in Human Society)

Abstract

:

Simple Summary

The black soldier fly (BSF) contains protein, fat, chitin, and rich minerals and has the potential to be used as a protein feed source. The purpose of this experiment was to evaluate the effects of different levels of BSF on rumen in vitro fermentation gas production, methane (CH4) production, ammonia nitrogen (NH3-N), and volatile fatty acids (VFAs). The results have shown that the supplementation of 10% BSF yielded in vitro fermentation indicators similar to those of the non-supplementation group. Although supplementing BSF of 15% reduced methane production, it also reduced the concentrations of rumen VFA. Therefore, it is recommended to supplement the diet with 10% BSF instead of soybean meal.

Abstract

The purpose of this experiment was to evaluate the effects of different levels of BSF on rumen in vitro fermentation gas production, methane (CH4) production, ammonia nitrogen (NH3-N), and volatile fatty acids (VFAs). The experiment comprised four treatments, each with five replicates. The control group contained no BSF (BSF0), and the treatment groups contained 5% (BSF5), 10% (BSF10), and 15% (BSF15) BSF, respectively. Results showed that at 3 h, 9 h, and 24 h, gas production in BSF5 and BSF10 was significantly higher than in BSF0 and BSF15 (p < 0.05). Gas production in BSF5 and BSF10 was higher than in BSF0, while gas production in BSF15 was lower than in BSF0. At 6 h and 12 h, CH4 emission in BSF15 was significantly lower than in the other three groups (p < 0.05). There were no differences in the pH of in vitro fermentation after BSF addition (p > 0.05). At 3 h, NH3-N levels in BSF10 and BSF15 were significantly higher than in BSF0 and BSF5 (p < 0.05). At 6 h, NH3-N levels in BSF5 and BSF10 were significantly higher than in BSF0 and BSF15 (p < 0.05). Acetic acid, propionic acid, butyric acid, and total VFAs in BSF0, BSF5, and BSF10 were significantly higher than in BSF15 (p < 0.05). In conclusion, gas production, CH4 emission, NH3-N, acetic acid, propionic acid, butyric acid, and VFAs were highest in BSF5 and BSF10 and lowest in BSF15.

1. Introduction

In recent years, with population growth and economic development, people’s demand for livestock products has been increasing [1,2], leading to higher and higher prices for protein feed ingredients [3]. Therefore, the production cost of animal husbandry is constantly increasing, and it is urgent to find new feed protein raw materials. Insects as protein feed are a current research hotspot. Currently, there are about 2000 species of edible insects, and the most widely used in animal feed are yellow mealworm (Tenebrio molitor) [4], cricket (Gryllus bimaculatus) [4], and BSF (Hermetia illucens L.) [5,6], because their edible portion is close to 100% [7]. BSF is rich in crude fat, protein, minerals, and amino acids [8]. Its average protein content can reach about 40% [9], which is equivalent to soybean meal [10], and can reach up to 65% [11], which is similar to the protein content of fish meal [12]. The crude fat content can reach 29–51% [7,13], and the saturated fatty acid lauric acid (C12:0) content can reach 40% [14,15]. Medium-chain fatty acids (C6:0-C12:0) are important in inhibiting methane production [16]. Many studies have shown that although C12:0 did not alter rumen VFA levels, it reduced rumen methane production, followed by a reduction in the number of methanogens and bacteria in the rumen [17,18]. In terms of minerals, calcium, phosphorus, copper, and potassium are the most abundant [7]; these minerals lower the pH and increase the molar ratio of rumen acetic acid, the ratio of acetic acid to propionic acid, and the concentration of total volatile fatty acids in the rumen fluid [19,20,21]. Interestingly, it is also rich in essential amino acids, with the highest levels of leucine, lysine, and valine, all higher than soybean meal and comparable to fish meal [22,23,24]. Based on the above nutrient content, BSF has potential as an alternative to animal protein feed.
The application of BSF in ruminants is still relatively small, and only a few pieces of literature have been written about the effect of BSF oil on rumen fermentation. Jayanegara et al. [25] showed that crickets, mealworms, and BSF could reduce CH4 production in vitro. Interestingly, BSF oil did not negatively affect rumen fermentation and also increased potentially health-promoting trans-11 18:1 without altering trans-10 18:1 concentrations [26]. BSF studies in dairy cows showed no negative effects on feed digestion. Still, they decreased rumen pH, increased VFA concentrations, improved yield, and altered milk fatty acids, most notably in the 10% supplementation group [27]. Previous studies have shown that BSF of different ages and the ratio of concentrated feed to roughage reduce the NH3-N and digestibility of dry matter organic matter (OM) in in vitro fermentation [28]. However, currently, neither ruminant in vivo nor in vitro studies have identified the optimal supplementation level of BSF. Therefore, the purpose of this study was to evaluate the effect of different levels of BSF on goat rumen fermentation in vitro and to provide a theoretical basis and data support for our next comprehensive research in vivo.

2. Materials and Methods

All goats were handled by the Rules of Animal Welfare of the Suranaree University of Technology (SUT; SUT 4/2558). The experiment was carried out at the SUT Goat Farm, Nakhon Ratchasima, Thailand (14°53′37.9″ N, 102°01′22.0″ E).

2.1. Rumen Fluid Collection

Four adult goats (17.74 ± 1.01 kg) were fed (dry matter basis) 50% corn silage, 15% corn, 15% cassava, 18% soybean meal, and 2% premix (DM 83.92%, crude protein 13.41%, ether extract 1.62%, NDF 42.50%, ADF 23.85%). The daily feed intake was 2.5% of body weight. The rumen contents of four goats were collected on the morning of the 7th day before feeding. A tube was inserted into the rumen from the mouth, and the rumen fluid was sucked out using a vacuum pump. The collected rumen contents were mixed and then filtered and separated with four layers of gauze. The obtained rumen fluid was transferred into a vacuum bottle and sent to the laboratory within 5 min as a culture medium.

2.2. Experimental Design and Fermentation Substrates

The experimental design was a single-factor, completely randomized design with 4 treatments and 5 replicates for each treatment. The control treatment did not contain BSF (BSF0), and the other treatments contained 5% (BSF5), 10% (BSF10), and 15% (BSF15) of BSF, respectively. The fermentation substrates were formulated according to NCR (2004), with a crude protein (CP) content of 14%. The experimental diet composition and chemical composition used in the treatment are shown in Table 1. The fatty acid composition of experimental diets is shown in Table 2.

2.3. In Vitro Fermentation

The in vitro cultivation medium’s composition was the same as that mentioned in Wei et al. [29]. In a nutshell, the following solutions were combined evenly: distilled water, artificial saliva, constant element solution, trace element solution, reducing agent solution, and resazurin solution. The ratios were 47.56%, 23.78%, 23.78%, 0.01%, 4.76%, and 0.11% based on volume. Each replicate (0.5 g) of the fermentation substrate was added to 50 mL of an inoculum consisting of the medium prepared above and rumen fluid in a 2:1 volume ratio, poured into a CO2 125 mL vessel, snap-sealed with a deoxidizer, and placed in the incubator with a rubber stopper, a constant temperature of 39 °C, and a fluctuation frequency of 120 r/min. Gas collection tubes with calibration marks were used, and gas production was directly read and recorded at 3 h, 6 h, 9 h, 12 h, 24 h, 48 h, and 72 h. Fermentation products were collected at 3 h, 6 h, 9 h, and 12 h, terminated with ice, and pH was immediately checked with a pH meter (Mettler Five Easy Plus Series, Columbus, OH, USA). Two samples (1 mL) were collected; one was added with metaphosphoric acid (1% w/v; 1 mL) for VFA analysis, and the other was used for NH3-N analysis and stored at −20 °C. For methane analysis, 5 mL of headspace gas was collected from the fermentation flask using a gas-tight syringe (Hamilton, Reno, NV, USA).

2.4. Sample Analysis

2.4.1. Chemical Composition of Feeds

The DM, ash, EE, and CP of the feed were determined according to the methods of the Society of Official Analytical Chemists [30]. NDF and ADF were determined by the method of Van et al. [31].
The content of minerals was detected according to Pieterse [32]. Briefly, add 5 mL of 6 mol L−1 hydrochloric acid to 0.5 g of the sample, put it in an oven at 50 °C for 30 min, take it out, add 35 mL of distilled water, then filter and make up to 50 mL. Minerals were measured on an iCAP 6000 series inductively coupled plasma (ICP) spectrophotometer (Thermo Electron Corporation, Strada Rivoltana, 20090 Rodana, Milan, Italy) equipped with a vertical quartz torch and a Cetac ASX-520 autosampler (Labtech, Beijing, China). TEVA Analyst software 1.6 was used to calculate mineral concentrations.
According to Tian et al. [33], the fatty acid composition was extracted using a chloroform–methanol solution. Using n-hexane as the internal standard, a gas chromatograph–mass spectrometer (GC-MS; Thermo Fisher Scientific, Waltham, MA, USA) was used as follows: injector temperature at 270 °C, detector temperature at 280 °C, and a programmed temperature starting at 100 °C for 13 min followed by a heating rate of 10 °C/min to reach 180 °C and maintained for 6 min. Subsequently, the temperature was increased at a rate of 1 °C/min to 200 °C and held for 20 min, followed by a final increase to 230 °C at a rate of 4 °C/min and maintained for 10.5 min. The carrier gas used was nitrogen with a shunt ratio of 100:1, and the sample volume injected was 1.0 μL. The assay conditions aimed to achieve a theoretical plate number (n) of at least 2000/m and a separation degree (R) of at least 1.25.
The amino acid content detection method was slightly modified according to Tian et al. [34]. Briefly, weigh 50 mg of the sample into a 20 mL hydrolysis tube, add 10 mL of 6 mol/L HCL, freeze it in liquid nitrogen, use a vacuum pump to pump to 7 Pa, and then fill with nitrogen for 1 min and tighten the tube cap. The hydrolysis tube was placed in a constant temperature drying oven at 110 °C for hydrolysis for 24 h, cooled, mixed, opened, and filtered. An appropriate amount of the filtrate was sucked with a pipette, placed in a rotary evaporator, and evaporated to dryness under vacuum at 60 °C, repeated twice. Add 5 mL of 0.2 mol/L sodium citrate buffer, shake well, and centrifuge at 12,000× g for 5 min at 4 °C (Allegra R X-30R Centrifuge, Beckman Coulter, Life Sciences Division Headquarters 5350 Lakeview Parkway S Drive Indianapolis, IN 46268, USA). The following were the UPLC conditions: individual AAs were separated using an ACQUITY UPLCR BEH C18 column (2.1 mm × 100 mm × 1.7µm, Waters, Milford, CT, USA) at 40 °C. The injection volume was 5 µL, and the mobile phases were A = 10% methanol (contains 0.1% formic acid) and B = 50% methanol (contains 0.1% formic acid). The gradient elution conditions were as follows: 0~6.5 min, 10~30% B; 6.5~7 min, 30~100% B; 7~8 min, 100% B. The following MS conditions were used: electrospray ionization source, positive ion ionization mode; ion power temperature of 500 °C, ion source voltage of 5500 V; collision gas pressure of 6 psi, curtain gas pressure of 30 psi; nebulization gas pressure and aux gas pressure were both 50 psi; and multiple-reaction monitoring scan mode.

2.4.2. Ruminal Fermentation Characteristics

The method of Lee et al. [35] was used for the analysis of CH4. In brief, CH4 was evaluated using a gas chromatograph (Shimadzu GC-2010, Kyoto, Japan) outfitted with a thermal conductivity detector and a HayeSep Q 80/100 column (Restek, Bellefonte, PA, USA) at 90 °C. The sampler and detector were kept at a temperature of 150 °C. At a flow rate of 30 mL/min, argon was used as the carrier gas. The CH concentration of the samples was determined using a standard mixture of CH and CO (RIGAS, Daejeon, Republic of Korea).
The technique of Taethaisong et al. [36] was used to detect VFAs. Gas chromatography (Agilent 6890 GC, Agilent Technologies, Santa Clara, CA, USA), silica capillary column (30 m × 250 µm × 0.25 µm) was used to quantify the concentration of VFAs in the filtrate. The temperature was initially set at 40 °C for 2 min before rising to 100 °C at a rate of 3.5 °C/min and then to 249.8 °C at a rate of 10 °C/min. The whole duration of the run was 30 min. The boiling chamber temperature was 250 °C, and the carrier gas (99.99%) was He. Before columnization, the pressure was 31.391 psi, the carrier gas flow was 3.0 mL/min, and the solvent delay time was 3 min. The technique of [37] was used to detect ammonia nitrogen (NH3-N).

2.4.3. Chitin Analysis

The chitin content of the BSF meal was analyzed following the method outlined by Liu et al. [38] with minor modifications. In brief, an aliquot of the prepupae meal (90–100 mg) was enclosed in an ANKOM filter bag (ANKOM Technology, Macedon, NY, USA) shaped to fit a 15 mL screw cap centrifuge tube. This aliquot underwent demineralization for 30 min in 5 mL of 1 M HCl at 100 °C. The demineralization process was followed by five washing steps in ASTM Type I water, ensuring neutrality. Subsequently, a deproteinization step was carried out in 5 mL of 1 M NaOH at 80 °C for 24 h. Finally, the sample was washed five times in ASTM Type I water until neutrality was achieved. After drying at 105 °C in an air-forced oven for 2 h, the chitin content (CT, g/kg DM) was calculated using the following formula:
C T = 1000 × F w B w × C S w
where Fw = weight after demineralization, deproteinization, and drying (g); Bw = weight of the modified ANKOM extraction bag (g); C = dimensionless factor taking into account the MEAN weight loss of extraction bags (0.999, n = 6) treated according to the same procedure used for the samples; and Sw = exact amount of sample processed (g).

2.5. Statistical Analysis

Data were analyzed by one-way ANOVA with SPSS statistical software (Version 27.0 for Windows; SPSS, Chicago, IL, USA). The statistically significant differences were determined by Duncan’s multiple-range tests. Data were presented as the MEAN and SEM. The significance level was indicated at p < 0.05.

3. Results

3.1. Nutrition Facts of BSF

The approximate composition of BSF is shown in Table 3. It could be seen from the table that the dry matter content of the black soldier flies was very high, reaching 973.3 g/kg; the protein content was 407.4 g/kg, which was slightly lower than that of soybean meal (USA, 475.0 g/kg; Argentina, 460.0 g/kg; Brazil, 488.0 g/kg; India, 466.0 g/kg; Asia, 474.0 g/kg; China, 463.0 g/kg) [39]. The fat content was 327.0 g/kg. The minerals detected in this experiment include Ca, P, Na, Cu, and Se, while the content of P was much higher than that of other minerals, reaching 898.4 mg/kg.

3.2. Amino Acid Content of BSF

The amino acid content of BSF is shown in Table 4. A total of 16 amino acids were detected in BSF, of which there were nine types of indispensable amino acids, and the most abundant ones were arginine, leucine, lysine, and valine. From the data in the table, the content of indispensable amino acids was relatively balanced.

3.3. Fatty Acid Content of BSF

The BSF fatty acid content is shown in Table 5. BSF was rich in saturated fatty acids, of which the content of C12:0 was the highest, reaching 41.9 g/100 g, followed by C14:0 and C16:0, which were 6.80 g/100 g and 5.17 g/100 g, respectively. The C18 series has the highest content of unsaturated fatty acids; the content of c9 C18:1 was 7.58 g/100 g, but the content of C18:2n-6 was much higher than that of C18:3n-3, which were 9.39 g/100 g and 0.82 g/100 g, respectively. The content of SFA was 56.10 g/100 g, the total unsaturated fatty acid content was 18.50 g/100 g, the ratio of unsaturated fatty acid and saturated fatty acid was 32.98%, and the n-3 PUFA/n-6 PUFA was 10.4%.

3.4. Effect of Different Levels of BSF on Gas Production

The influence of BSF on gas production is shown in Figure 1. From the 24th hour onwards, the gas production leveled off. At 3 h, 9 h, and 24 h, the gas production of BSF5 and BSF10 was significantly higher (p < 0.05) than that of BSF0 and BSF15. At 6 h, 12 h, 48 h, and 72 h, there were no significant differences (p > 0.05) in gas production among all groups. From the line chart, the gas production of BSF5 and BSF10 was higher than BSF0, and the gas production of BSF15 was lower than BSF0.

3.5. Effect of Different Levels of BSF on CH4 Production

The effect of different levels of BSF on CH4 production is shown in Figure 2. From the 9th hour onwards, the CH4 production leveled off. At 6 h and 12 h, the CH4 of the BSF15 group was significantly lower (p < 0.05) than that of the other three groups. Overall analysis shows that the CH4 production of the BSF5 group was at the highest level, the BSF10 group was close to that of BSF0, while BSF15 was always at the lowest level.

3.6. Effect of Different Levels of BSF on pH and NH3-N

The effect of different levels of BSF on pH and NH3-N is shown in Table 6. There was no significant difference (p > 0.05) in in vitro rumen fermentation pH with BSF supplementation. At 3 h, the NH3-N levels of BSF10 and BSF15 were significantly higher (p < 0.05) than those of BSF0 and BSF5. At 6 h, the NH3-N levels of BSF5 and BSF10 were significantly higher (p < 0.05) than those of BSF0 and BSF15. At 9 h, the NH3-N level of BSF5 was significantly higher (p < 0.05) than that of BSF15. At 12 h, there was no significant difference (p > 0.05) in NH3-N levels among groups.

3.7. Effect of Different Levels of BSF on VFAs

The effect of different levels of BSF on VFAs is shown in Table 7. At 6 h, the acetic acid concentration of BSF15 was significantly lower (p < 0.05) than that of the other three groups, and there were no differences (p > 0.05) among the groups at 3 h, 9 h, and 12 h. At 3 h, BSF5 had the highest (p < 0.05) propionic acid concentration, there was no significant difference (p > 0.05) between BSF0 and BSF10, and BSF15 had the lowest (p < 0.05). At 6 h, the propionic acid concentration of BSF15 was significantly lower (p < 0.05) than that of the other three groups, and there were no significant differences (p > 0.05) in propionic acid concentrations among all groups at 9 h and 12 h. At 6 h, the butyric acid concentration of BSF5 was significantly higher (p < 0.05) than that of the other three groups, there was no significant difference (p > 0.05) between BSF0 and BSF10, and BSF15 had the lowest (p < 0.05) butyric acid concentration; during the other periods, there were no significant differences (p > 0.05) among groups. There was no significant difference (p > 0.05) in the A:P among the groups, but it had an increasing trend with BSF supplementation. In all periods, the total VFAs of BSF0, BSF5, and BSF10 were significantly higher (p < 0.05) than that of BSF15.

4. Discussion

We would like to know how BSF functions in the rumen of ruminant animals while considering the percentage of BSF supplementation. Additionally, recognizing that BSF supplementation may have detrimental effects under in vivo conditions, such as reducing VFA or NH3-N, we first conduct evaluations of in vitro fermentation.

4.1. Gas Production

In vitro gas production was originally used to predict ruminal degradability and metabolizable energy (ME) content of animal feed [40]; higher gas values indicate higher nutrient availability by rumen microbes [41]. This study showed that the gas production of the BSF5 and BSF10 groups was higher than that of the BSF0 group, and the gas production of the BSF15 group was lower than that of the BSF0 group. This shows that supplementing BSF at 5% and 10% was beneficial to improving the utilization rate of nutrients by microorganisms, while 15% had a negative effect on nutrient utilization, which may be related to the content of chitin and saturated fatty acids. Because the low level of chitin in the diet promotes the digestion of nutrients, as the number of additions increases, the digestibility of nutrients gradually decreases [42]. This theoretical study is confirmed by Jian et al. [43], who showed that supplementation levels above 15% with BSF reduced the apparent digestibility of nutrients. Tabata et al. [44] showed that the level of acid chitinase mRNA in bovine stomach tissue was very low. Belanche et al. [45] reported that adding different doses of chitin reduced the digestibility of organic matter. This is consistent with reports from Wencelova et al. [46], who found that chitosan reduced dry matter digestibility and total gas production. These results may be related to its antibacterial effect [47], whereby chitin interacts with negatively charged free fatty acids and thereby inhibits biohydrogenation in vitro, leading to changes in rumen protozoa populations [48]. In addition to chitin, SFA also contributes significantly to gas production. Both soybean oil and BSF have high individual saturated fatty acid content [49]. Soybean oil was characterized by high C16:0 content, while BSF was characterized by high C12:0 content, which will lead to reduced gas production. Jayanegara et al. [25] observed that C12:0 contained in the rumen has an inhibitory effect on gas production. Research studies on BSF reducing gas production were confirmed by Renna et al. [50].

4.2. CH4 Production

In this experiment, the methane production of the BSF15 group was the highest at 6 h and 12 h, and the CH4 production of the BSF0 and BSF5 groups was the lowest at 12 h, indicating that the digestibility of the diet of the BSF15 group was higher, which has the same result as the gas production. In this experiment, the CH4 production of the BSF5 group was slightly higher than that of the BSF0 group in the early stage, the BSF10 group was similar to the BSF0 group, and the CH4 production of the BSF15 group was always the lowest, which had the same result as the gas production. This is because high digestibility would lead to increased production of H2, which is the main substrate for methane formation by methanogenic archaea [51]. The reduced CH4 levels in the BSF15 group were related to the higher fat content, as numerous studies have shown the effect of fat supplementation on reducing CH4 emissions in ruminants [52,53]. In particular, medium-chain fatty acids (6–12 carbon atoms) had stronger inhibitory effects on methanogens and showed stronger CH4-mitigating effects, according to a meta-analysis by Yanza et al. [54] (41 studies) concluded that CH4 production per unit of digested organic matter decreased linearly under in vitro conditions, and tended to a quadratic decrease under in vivo conditions with increasing doses of MCFAs. Another reason for the reduction in the CH4 ratio may be related to chitosan, which is a biopolymer (N-acetyl-d-sugaramide) derived from the deacetylation of chitin. Belanche et al. [45] report that chitosan reduces methane emissions by 42%. In vitro, chitosan reduces methane emissions because of its antimicrobial properties, altering the structural bacterial community and shifting the mode of rumen fermentation to propionic acid production [55].

4.3. pH and NH3-N

In ruminants, rumen pH decreases a few hours after feeding and then increases again due to VFA removal, rumination, and salivation [56]. Rumen pH should include not only the average pH but also the pH range during the feeding cycle. In this experiment, supplementing BSF had no significant difference in the pH of in vitro fermentation. From the 3rd hour to the 12th hour, the pH fluctuated within a small range, demonstrating that BSF did not disrupt the internal balance of the rumen ecosystem. Microbial protein synthesis is mostly nitrogen-dependent, and ammonia can be the primary supply of nitrogen for bacterial development [57]. In the current experiment, at 3 h, the concentrations of NH3-N in the BSF10 and BSF15 groups were the highest. At 6 h and 9 h, the concentrations of NH3-N in the BSF5 and BSF10 groups were the highest. In general, the concentrations of NH3-N in the BSF5 and BSF10 groups were higher than those in the BSF0 and BSF15 groups. The high content of ruminal NH3-N in the high-concentrate diet is explained by a dynamic balance among NH3-N production and consumption by rumen bacteria [58,59]. The observation of large amounts of NH3-N in the stomach of ruminants indicates that the ruminants’ diet contains an adequate amount of accessible nitrogen, which was most likely due to the diet’s high energy concentration [57]. According to the research of Calabrò et al. [58], a higher rumen NH3-N concentration indicates a greater presence of rumen-degradable protein. Numerous studies have shown that added high levels of fat reduce ruminal NH3-N concentrations [60,61]. This may be related to a reduction in rumen protozoa since NH3-N was formed from bacterial protein degradation [62]. According to research by Castillejos et al. and Castillejos et al. [63,64], fats can interact with bacterial cell membranes, preventing the growth of specific strains and ultimately causing ammonia concentrations to drop. Another factor that may be important is that chitosan reduces NH3-N production by inhibiting protease activity and microbial deaminase [65]. According to a report from Kahraman et al. [66], NH3-N levels gradually decreased with BSF supplementation.

4.4. VFAs

VFAs are the major product of ruminal fermentation and are positively correlated with the digestibility of the substrate, accounting for approximately 40% to 70% of digestible energy intake [67]. The results of the current experiment show that, overall, BSF5 increased acetate, propionate, butyrate, and total VFAs; the BSF0 and BSF10 groups have similar results, while the BSF15 group decreased these indicators. On the one hand, it may be related to the mineral content in BSF because mineral supplementation increases the concentration of VFAs in the rumen [68]. Pino et al. [69] found that supplementation of minerals increased the concentration of VFA throughout the day in dairy cows. Wang et al. [70] reported that total VFA concentrations increased linearly and quadratically with increasing selenium supplementation. Trace minerals such as Zn, Mn, Cu, and Co are required for structural proteins, enzymes, coenzymes, and cellular proteins [71] and participate in many enzymatic processes in the rumen; they can alter microbial populations and metabolic pathways in the rumen, potentially leading to lower nutrient digestibility when micronutrient availability is limited [72]. However, high concentrations of minerals are less soluble in the rumen and bound less tightly to the ruminal solid digest [73], so the BSF15 group will reduce VFA production. On the other hand, the decrease in VFAs in the BSF15 group can be explained by chitin, crude protein, crude fat content, and fatty acid profile [74,75]. According to research from Ahmed et al. [76], who added 30% BSF to the diet, the total VFA output was lower than that of the group without supplementation. The results of the study by Jayanegara et al. [28] are similar. Supplementing 20% BSF resulted in lower VFA production than the SBM group. It may be because fatty acids can adsorb onto microbes in the rumen or feed particles, and their small molecules easily dissolve in the lipid layer of cell membranes, effectively causing physical damage to the cell membrane, disrupting energy metabolism and nutrient transport, leading to a decrease in the concentration of volatile fatty acids (VFAs) due to the death of cellulolytic bacteria [77]. Interestingly, probiotics and prebiotics can be used to increase VFA production [78]. BSF can grow well in harsh conditions such as food waste or animal waste, so BSF larvae contain a variety of microorganisms, such as lactic acid bacteria (LAB) [79]. Due to the special structure of chitin, many studies have shown its potential as a prebiotic [80,81]. However, based on the research on chitin in ruminants, it has the function of reducing the total VFAs [82], which may have a synergistic effect when digested together with other nutrients, which can become the focus of future research. In summary, supplementation with 15% BSF had a negative impact on ruminal VFA concentration.

5. Conclusions

Compared to the BSF0 group, the BSF5 and BSF10 groups increased gas production during in vitro fermentation, while the BSF15 group decreased it. CH4 production in the BSF5 and BSF10 groups was similar to that in the BSF0 group, while it decreased in the BSF15 group. Supplementation of BSF did not affect the pH of in vitro fermentation. Compared to the BSF0 group, the BSF5 and BSF10 groups increased the concentration of NH3-N, while the BSF15 group decreased the concentrations of rumen acetate, propionate, butyrate, and total VFAs.

Author Contributions

Conceptualization, S.L., S.P. and Q.W.; methodology, S.L., S.P., P.P., N.T. and W.M.; field work, J.S. and S.T.; laboratory analysis, N.T. and W.M.; statistical analysis, Q.W., J.S., S.T. and S.C.; writing—original draft preparation, S.L.; writing—review and editing, S.C. and P.P. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Suranaree University of Technology (SUT; contract No. Fulltime 61/02/2021); Thailand Science Research and Innovation (TSRI), National Science Research and Innovation Fund (NSRF; project codes: 90464, 160368, FF3-303-65-36-17); the National Research Council of Thailand (NRCT; project code: 900105); Nakhon Ratchasima Rajabhat University (NRRU); and the National Research Council of Thailand (NRCT) and the Suranaree University of Technology (SUT) project code NRCT5-RSA63009-01.

Institutional Review Board Statement

This study was approved by the Animal Welfare Department of the Suranaree University of Technology, number SUT-IACUC-023/2021.

Data Availability Statement

All the other material is from published literature found in the References section.

Acknowledgments

The authors would like to thank the staff of the Centre of Scientific and Technological Equipment and the Suranaree University of Technology goat and sheep farm, Siriwan Phetsombat, and Thara Wongdee for helpful discussions during the preparation of this manuscript. All consent was given to publish this article.

Conflicts of Interest

The authors declare that there are no competing interests.

References

  1. Zhao, H.; Chang, J.; Havlík, P.; van Dijk, M.; Valin, H.; Janssens, C.; Ma, L.; Bai, Z.; Herrero, M.; Smith, P.; et al. China’s future food demand and its implications for trade and environment. Nat. Sustain. 2021, 4, 1042–1051. [Google Scholar] [CrossRef]
  2. Rehman, A.; Ma, H.; Ozturk, I.; Ulucak, R. Sustainable development and pollution: The effects of CO2 emission on population growth, food production, economic development, and energy consumption in Pakistan. Environ. Sci. Pollut. Res. 2022, 29, 17319–17330. [Google Scholar] [CrossRef] [PubMed]
  3. Hawkey, K.J.; Lopez-Viso, C.; Brameld, J.M.; Parr, T.; Salter, A.M. Insects: A potential source of protein and other nutrients for feed and food. Annu. Rev. Anim. Biosci. 2021, 9, 333–354. [Google Scholar] [CrossRef] [PubMed]
  4. Jeong, S.-M.; Khosravi, S.; Yoon, K.-Y.; Kim, K.-W.; Lee, B.-J.; Hur, S.-W.; Lee, S.-M. Mealworm, Tenebrio molitor, as a feed ingredient for juvenile olive flounder, Paralichthys olivaceus. Aquac. Rep. 2021, 20, 100747. [Google Scholar] [CrossRef]
  5. Dörper, A.; Veldkamp, T.; Dicke, M. Use of black soldier fly and house fly in feed to promote sustainable poultry production. J. Insects Food Feed 2021, 7, 761–780. [Google Scholar] [CrossRef]
  6. Gebremichael, A. Fillet yield and flesh quality of common carp (Cyprinus carpio) fed with extruded feed containing black soldier fly (Hermetia illucens) and mealworm (Tenebrio molitor). AACL Bioflux 2022, 15, 2273–2281. [Google Scholar]
  7. Lu, S.; Taethaisong, N.; Meethip, W.; Surakhunthod, J.; Sinpru, B.; Sroichak, T.; Archa, P.; Thongpea, S.; Paengkoum, S.; Purba, R.A.P.; et al. Nutritional composition of black soldier fly larvae (Hermetia illucens L.) and its potential uses as alternative protein sources in animal diets: A review. Insects 2022, 13, 831. [Google Scholar] [CrossRef] [PubMed]
  8. Chia, S.Y.; Tanga, C.M.; Osuga, I.M.; Cheseto, X.; Ekesi, S.; Dicke, M.; van Loon, J.J. Nutritional composition of black soldier fly larvae feeding on agro-industrial by-products. Entomol. Exp. Appl. 2020, 168, 472–481. [Google Scholar] [CrossRef]
  9. Liu, X.; Chen, X.; Wang, H.; Yang, Q.; ur Rehman, K.; Li, W.; Cai, M.; Li, Q.; Mazza, L.; Zhang, J.; et al. Dynamic changes of nutrient composition throughout the entire life cycle of black soldier fly. PLoS ONE 2017, 12, e0182601. [Google Scholar]
  10. Banaszkiewicz, T. Nutritional value of soybean meal. In Soybean and Nutrition; IntechOpen: Rijeka, Croatia, 2011; Volume 12, pp. 1–20. [Google Scholar]
  11. Schiavone, A.; De Marco, M.; Martínez, S.; Dabbou, S.; Renna, M.; Madrid, J.; Hernandez, F.; Rotolo, L.; Costa, P.; Gai, F.; et al. Nutritional value of a partially defatted and a highly defatted black soldier fly larvae (Hermetia illucens L.) meal for broiler chickens: Apparent nutrient digestibility, apparent metabolizable energy and apparent ileal amino acid digestibility. J. Anim. Sci. Biotechnol. 2017, 8, 51. [Google Scholar] [CrossRef]
  12. Kishawy, A.T.; Mohammed, H.A.; Zaglool, A.W.; Attia, M.S.; Hassan, F.A.; Roushdy, E.M.; Ismail, T.A.; Ibrahim, D. Partial defatted black solider larvae meal as a promising strategy to replace fish meal protein in diet for Nile tilapia (Oreochromis niloticus): Performance, expression of protein and fat transporters, and cytokines related genes and economic efficiency. Aquaculture 2022, 555, 738195. [Google Scholar] [CrossRef]
  13. Limbu, S.M.; Shoko, A.P.; Ulotu, E.E.; Luvanga, S.A.; Munyi, F.M.; John, J.O.; Opiyo, M.A. Black soldier fly (Hermetia illucens, L.) larvae meal improves growth performance, feed efficiency and economic returns of Nile tilapia (Oreochromis niloticus, L.) fry. Aquac. Fish Fish. 2022, 2, 167–178. [Google Scholar] [CrossRef]
  14. Adebayo, H.; Kemabonta, K.; Ogbogu, S.; Elechi, M.; Obe, M.T. Comparative assessment of developmental parameters, proximate analysis and mineral compositions of black soldier fly (Hermetia illucens) prepupae reared on organic waste substrates. Int. J. Trop. Insect Sci. 2021, 41, 1953–1959. [Google Scholar] [CrossRef]
  15. Daszkiewicz, T.; Murawska, D.; Kubiak, D.; Han, J. Chemical composition and fatty acid profile of the pectoralis major muscle in broiler chickens fed diets with full-fat black soldier fly (Hermetia illucens) larvae meal. Animals 2022, 12, 464. [Google Scholar] [CrossRef]
  16. Hristov, A.; Lee, C.; Cassidy, T.; Long, M.; Heyler, K.; Corl, B.; Forster, R. Effects of lauric and myristic acids on ruminal fermentation, production, and milk fatty acid composition in lactating dairy cows. J. Dairy Sci. 2011, 94, 382–395. [Google Scholar] [CrossRef] [PubMed]
  17. Burdick, M. Evaluation of Medium-Chain Fatty Acid Supplementation Effects on Dairy Cow Performance and Rumen Fermentation. Master’s Thesis, University of Alberta Libraries, Edmonton, AB, Canada, 2022. [Google Scholar]
  18. Cusiayuni, A.; Nurfatahillah, R.; Harahap, R.; Wiryawan, K.; Evvyernie, D.; Jayanegara, A. Modification of in vitro methanogenesis and rumen fermentation by using lauric acid: A meta analysis. Adv. Anim. Vet. Sci. 2022, 10, 1048–1055. [Google Scholar] [CrossRef]
  19. Almeida, K.; Santos, G.; Daniel, J.; Osorio, J.; Yamada, K.; Sippert, M.; Cabral, J.; Marchi, F.; Araujo, R.; Vyas, D. Effects of calcium ammonium nitrate fed to dairy cows on nutrient intake and digestibility, milk quality, microbial protein synthesis, and ruminal fermentation parameters. J. Dairy Sci. 2022, 105, 2228–2241. [Google Scholar] [CrossRef]
  20. Guimaraes, O.; Wagner, J.; Spears, J.; Brandao, V.; Engle, T. Trace mineral source influences digestion, ruminal fermentation, and ruminal copper, zinc, and manganese distribution in steers fed a diet suitable for lactating dairy cows. Animal 2022, 16, 100500. [Google Scholar] [CrossRef] [PubMed]
  21. Mion, B.; Van Winters, B.; King, K.; Spricigo, J.; Ogilvie, L.; Guan, L.; DeVries, T.; McBride, B.; LeBlanc, S.; Steele, M.; et al. Effects of replacing inorganic salts of trace minerals with organic trace minerals in pre-and postpartum diets on feeding behavior, rumen fermentation, and performance of dairy cows. J. Dairy Sci. 2022, 105, 6693–6709. [Google Scholar] [CrossRef]
  22. Kamarudin, M.S.; Rosle, S.; Yasin, I.S.M. Performance of defatted black soldier fly pre-pupae meal as fishmeal replacement in the diet of lemon fin barb hybrid fingerlings. Aquac. Rep. 2021, 21, 100775. [Google Scholar] [CrossRef]
  23. Rawski, M.; Mazurkiewicz, J.; Kierończyk, B.; Józefiak, D. Black soldier fly full-fat larvae meal is more profitable than fish meal and fish oil in siberian sturgeon farming: The effects on aquaculture sustainability, economy and fish git development. Animals 2021, 11, 604. [Google Scholar] [CrossRef] [PubMed]
  24. Shah, A.A.; Totakul, P.; Matra, M.; Cherdthong, A.; Hanboonsong, Y.; Wanapat, M. Nutritional composition of various insects and potential uses as alternative protein sources in animal diets. Anim. Biosci. 2022, 35, 317. [Google Scholar] [CrossRef] [PubMed]
  25. Jayanegara, A.; Yantina, N.; Novandri, B.; Laconi, E.; Ridla, M. Evaluation of some insects as potential feed ingredients for ruminants: Chemical composition, in vitro rumen fermentation and methane emissions. J. Indones. Trop. Anim. Agric. 2017, 42, 247–254. [Google Scholar] [CrossRef]
  26. Hervás, G.; Boussalia, Y.; Labbouz, Y.; Della Badia, A.; Toral, P.G.; Frutos, P. Insect oils and chitosan in sheep feeding: Effects on in vitro ruminal biohydrogenation and fermentation. Anim. Feed Sci. Technol. 2022, 285, 115222. [Google Scholar] [CrossRef]
  27. Nekrasov, R.V.; Ivanov, G.A.; Chabaev, M.G.; Zelenchenkova, A.A.; Bogolyubova, N.V.; Nikanova, D.A.; Sermyagin, A.A.; Bibikov, S.O.; Shapovalov, S.O. Effect of Black Soldier Fly (Hermetia illucens L.) Fat on Health and Productivity Performance of Dairy Cows. Animals 2022, 12, 2118. [Google Scholar] [CrossRef] [PubMed]
  28. Jayanegara, A.; Novandri, B.; Yantina, N.; Ridla, M. Use of black soldier fly larvae (Hermetia illucens) to substitute soybean meal in ruminant diet: An in vitro rumen fermentation study. Vet. World 2017, 10, 1439. [Google Scholar] [CrossRef]
  29. Wei, X.; Ouyang, K.; Long, T.; Liu, Z.; Li, Y.; Qiu, Q. Dynamic variations in rumen fermentation characteristics and bacterial community composition during in vitro fermentation. Fermentation 2022, 8, 276. [Google Scholar] [CrossRef]
  30. Horwitz, W. Official Methods of Analysis of AOAC International. Volume I, Agricultural Chemicals, Contaminants, Drugs; Horwitz, W., Ed.; AOAC International: Gaithersburg, MD, USA, 1997; p. 2010. [Google Scholar]
  31. Van Soest, P.v.; Robertson, J.B.; Lewis, B.A. Methods for dietary fiber, neutral detergent fiber, and nonstarch polysaccharides in relation to animal nutrition. J. Dairy Sci. 1991, 74, 3583–3597. [Google Scholar] [CrossRef]
  32. Pieterse, E.; Erasmus, S.W.; Uushona, T.; Hoffman, L.C. Black soldier fly (Hermetia illucens) pre-pupae meal as a dietary protein source for broiler production ensures a tasty chicken with standard meat quality for every pot. J. Sci. Food Agric. 2019, 99, 893–903. [Google Scholar] [CrossRef]
  33. Tian, X.; Lu, Q.; Paengkoum, P.; Paengkoum, S. Effect of purple corn pigment on change of anthocyanin composition and unsaturated fatty acids during milk storage. J. Dairy Sci. 2020, 103, 7808–7812. [Google Scholar] [CrossRef]
  34. Tian, X.; Li, J.-X.; Luo, Q.-Y.; Wang, X.; Xiao, M.-M.; Zhou, D.; Lu, Q.; Chen, X. Effect of supplementation with selenium-yeast on muscle antioxidant activity, meat quality, fatty acids and amino acids in goats. Front. Vet. Sci. 2022, 8, 813672. [Google Scholar] [CrossRef] [PubMed]
  35. Lee, S.-Y.; Lee, S.-M.; Cho, Y.-B.; Kam, D.-K.; Lee, S.-C.; Kim, C.-H.; Seo, S. Glycerol as a feed supplement for ruminants: In vitro fermentation characteristics and methane production. Anim. Feed Sci. Technol. 2011, 166, 269–274. [Google Scholar] [CrossRef]
  36. Taethaisong, N.; Paengkoum, S.; Nakharuthai, C.; Onjai-uea, N.; Thongpea, S.; Sinpru, B.; Surakhunthod, J.; Meethip, W.; Paengkoum, P. Consumption of Purple Neem Foliage Rich in Anthocyanins Improves Rumen Fermentation, Growth Performance and Plasma Antioxidant Activity in Growing Goats. Fermentation 2022, 8, 373. [Google Scholar] [CrossRef]
  37. Nur Atikah, I.; Alimon, A.; Yaakub, H.; Abdullah, N.; Jahromi, M.; Ivan, M.; Samsudin, A. Profiling of rumen fermentation, microbial population and digestibility in goats fed with dietary oils containing different fatty acids. BMC Vet. Res. 2018, 14, 344. [Google Scholar] [CrossRef]
  38. Liu, S.; Sun, J.; Yu, L.; Zhang, C.; Bi, J.; Zhu, F.; Qu, M.; Jiang, C.; Yang, Q. Extraction and characterization of chitin from the beetle Holotrichia parallela Motschulsky. Molecules 2012, 17, 4604–4611. [Google Scholar] [CrossRef]
  39. Thakur, M.; Hurburgh, C.R. Quality of US soybean meal compared to the quality of soybean meal from other origins. J. Am. Oil Chem. Soc. 2007, 84, 835–843. [Google Scholar] [CrossRef]
  40. Menke, K.H. 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]
  41. Mahala, A.G.; Elseed, A. Chemical composition and in vitro gas production characteristics of six fodder trees leaves and seeds. Res. J. Agric. Biol. Sci. 2007, 3, 983–986. [Google Scholar]
  42. Henry, D.; Ruiz-Moreno, M.; Ciriaco, F.; Kohmann, M.; Mercadante, V.; Lamb, G.; DiLorenzo, N. Effects of chitosan on nutrient digestibility, methane emissions, and in vitro fermentation in beef cattle. J. Anim. Sci. 2015, 93, 3539–3550. [Google Scholar] [CrossRef]
  43. Jian, S.; Zhang, L.; Ding, N.; Yang, K.; Xin, Z.; Hu, M.; Zhou, Z.; Zhao, Z.; Deng, B.; Deng, J. Effects of black soldier fly larvae as protein or fat sources on apparent nutrient digestibility, fecal microbiota, and metabolic profiles in beagle dogs. Front. Microbiol. 2022, 13, 1044986. [Google Scholar] [CrossRef]
  44. Tabata, E.; Kashimura, A.; Kikuchi, A.; Masuda, H.; Miyahara, R.; Hiruma, Y.; Wakita, S.; Ohno, M.; Sakaguchi, M.; Sugahara, Y.; et al. Chitin digestibility is dependent on feeding behaviors, which determine acidic chitinase mRNA levels in mammalian and poultry stomachs. Sci. Rep. 2018, 8, 1461. [Google Scholar] [CrossRef]
  45. Belanche, A.; Pinloche, E.; Preskett, D.; Newbold, C.J. Effects and mode of action of chitosan and ivy fruit saponins on the microbiome, fermentation and methanogenesis in the rumen simulation technique. FEMS Microbiol. Ecol. 2016, 92, fiv160. [Google Scholar] [CrossRef] [PubMed]
  46. Wencelova, M.; Varadyova, Z.; Mihalikova, K.; Kisidayova, S.; Jalc, D. Evaluating the effects of chitosan, plant oils, and different diets on rumen metabolism and protozoan population in sheep. Turk. J. Vet. Anim. Sci. 2014, 38, 26–33. [Google Scholar] [CrossRef]
  47. Uyanga, V.A.; Ejeromedoghene, O.; Lambo, M.T.; Alowakennu, M.; Alli, Y.A.; Ere-Richard, A.A.; Min, L.; Zhao, J.; Wang, X.; Jiao, H.; et al. Chitosan and chitosan-based composites as beneficial compounds for animal health: Impact on gastrointestinal functions and biocarrier application. J. Funct. Foods 2023, 104, 105520. [Google Scholar] [CrossRef]
  48. Goiri, I.; Indurain, G.; Insausti, K.; Sarries, V.; Garcia-Rodriguez, A. Ruminal biohydrogenation of unsaturated fatty acids in vitro as affected by chitosan. Anim. Feed Sci. Technol. 2010, 159, 35–40. [Google Scholar] [CrossRef]
  49. Patra, A.K. The effect of dietary fats on methane emissions, and its other effects on digestibility, rumen fermentation and lactation performance in cattle: A meta-analysis. Livest. Sci. 2013, 155, 244–254. [Google Scholar] [CrossRef]
  50. Renna, M.; Coppa, M.; Lussiana, C.; Le Morvan, A.; Gasco, L.; Maxin, G. Full-fat insect meals in ruminant nutrition: In vitro rumen fermentation characteristics and lipid biohydrogenation. J. Anim. Sci. Biotechnol. 2022, 13, 138. [Google Scholar] [CrossRef]
  51. Morgavi, D.; Forano, E.; Martin, C.; Newbold, C.J. Microbial ecosystem and methanogenesis in ruminants. Animal 2010, 4, 1024–1036. [Google Scholar] [CrossRef] [PubMed]
  52. Giger-Reverdin, S.; Morand-Fehr, P.; Tran, G. Literature survey of the influence of dietary fat composition on methane production in dairy cattle. Livest. Prod. Sci. 2003, 82, 73–79. [Google Scholar] [CrossRef]
  53. Machmüller, A.; Ossowski, D.; Kreuzer, M. Comparative evaluation of the effects of coconut oil, oilseeds and crystalline fat on methane release, digestion and energy balance in lambs. Anim. Feed Sci. Technol. 2000, 85, 41–60. [Google Scholar] [CrossRef]
  54. Yanza, Y.R.; Szumacher-Strabel, M.; Jayanegara, A.; Kasenta, A.M.; Gao, M.; Huang, H.; Patra, A.K.; Warzych, E.; Cieślak, A. The effects of dietary medium-chain fatty acids on ruminal methanogenesis and fermentation in vitro and in vivo: A meta-analysis. J. Anim. Physiol. Anim. Nutr. 2021, 105, 874–889. [Google Scholar] [CrossRef] [PubMed]
  55. Shah, A.M.; Qazi, I.H.; Matra, M.; Wanapat, M. Role of Chitin and Chitosan in Ruminant Diets and Their Impact on Digestibility, Microbiota and Performance of Ruminants. Fermentation 2022, 8, 549. [Google Scholar] [CrossRef]
  56. Palmonari, A.; Stevenson, D.; Mertens, D.; Cruywagen, C.; Weimer, P. pH dynamics and bacterial community composition in the rumen of lactating dairy cows. J. Dairy Sci. 2010, 93, 279–287. [Google Scholar] [CrossRef] [PubMed]
  57. Prachumchai, R.; Cherdthong, A. Black Soldier Fly Larva Oil in Diets with Roughage to Concentrate Ratios on Fermentation Characteristics, Degradability, and Methane Generation. Animals 2023, 13, 2416. [Google Scholar] [CrossRef] [PubMed]
  58. Calabrò, S.; Tudisco, R.; Balestrieri, A.; Piccolo, G.; Infascelli, F.; Cutrignelli, M.I. Fermentation characteristics of different grain legumes cultivars with the in vitro gas production technique. Ital. J. Anim. Sci. 2009, 8 (Suppl. S2), 280. [Google Scholar] [CrossRef]
  59. Cherdthong, A.; Prachumchai, R.; Supapong, C.; Khonkhaeng, B.; Wanapat, M.; Foiklang, S.; Milintawisamai, N.; Gunun, N.; Gunun, P.; Chanjula, P.; et al. Inclusion of yeast waste as a protein source to replace soybean meal in concentrate mixture on ruminal fermentation and gas kinetics using in vitro gas production technique. Anim. Prod. Sci. 2018, 59, 1682–1688. [Google Scholar] [CrossRef]
  60. Dai, X.; Faciola, A.P. Evaluating strategies to reduce ruminal protozoa and their impacts on nutrient utilization and animal performance in ruminants—A meta-analysis. Front. Microbiol. 2019, 10, 2648. [Google Scholar] [CrossRef]
  61. Mahmoudi-Abyane, M.; Alipour, D.; Moghimi, H. Effects of different sources of nitrogen on performance, relative population of rumen microorganisms, ruminal fermentation and blood parameters in male feedlotting lambs. Animal 2020, 14, 1438–1446. [Google Scholar] [CrossRef]
  62. Lin, M.; Schaefer, D.; Guo, W.; Ren, L.; Meng, Q. Comparisons of in vitro nitrate reduction, methanogenesis, and fermentation acid profile among rumen bacterial, protozoal and fungal fractions. Asian-Australas. J. Anim. Sci. 2011, 24, 471–478. [Google Scholar] [CrossRef]
  63. Castillejos, L.; Calsamiglia, S.; Martín-Tereso, J.; Ter Wijlen, H. In vitro evaluation of effects of ten essential oils at three doses on ruminal fermentation of high concentrate feedlot-type diets. Anim. Feed Sci. Technol. 2008, 145, 259–270. [Google Scholar] [CrossRef]
  64. Castillejos, L.; Calsamiglia, S.; Ferret, A.; Losa, R. Effects of dose and adaptation time of a specific blend of essential oil compounds on rumen fermentation. Anim. Feed Sci. Technol. 2007, 132, 186–201. [Google Scholar] [CrossRef]
  65. Zanferari, F.; Vendramini, T.H.A.; Rentas, M.F.; Gardinal, R.; Calomeni, G.D.; Mesquita, L.G.; Takiya, C.S.; Rennó, F.P. Effects of chitosan and whole raw soybeans on ruminal fermentation and bacterial populations, and milk fatty acid profile in dairy cows. J. Dairy Sci. 2018, 101, 10939–10952. [Google Scholar] [CrossRef] [PubMed]
  66. Kahraman, O.; Gülşen, N.; İnal, F.; Alataş, M.S.; İnanç, Z.S.; Ahmed, İ.; Şişman, D.; Küçük, A.E. Comparative Analysis of In Vitro Fermentation Parameters in Total Mixed Rations of Dairy Cows with Varied Levels of Defatted Black Soldier Fly Larvae (Hermetia illucens) as a Substitute for Soybean Meal. Fermentation 2023, 9, 652. [Google Scholar] [CrossRef]
  67. Cabezas-Garcia, E.; Krizsan, S.; Shingfield, K.J.; Huhtanen, P. Between-cow variation in digestion and rumen fermentation variables associated with methane production. J. Dairy Sci. 2017, 100, 4409–4424. [Google Scholar] [CrossRef] [PubMed]
  68. Gouda, G.; Khattab, H.; Abdel-Wahhab, M.; El-Nor, S.A.; El-Sayed, H.; Kholif, S. Clay minerals as sorbents for mycotoxins in lactating goat’s diets: Intake, digestibility, blood chemistry, ruminal fermentation, milk yield and composition, and milk aflatoxin M1 content. Small Rumin. Res. 2019, 175, 15–22. [Google Scholar] [CrossRef]
  69. Pino, F.; Heinrichs, A. Effect of trace minerals and starch on digestibility and rumen fermentation in diets for dairy heifers. J. Dairy Sci. 2016, 99, 2797–2810. [Google Scholar] [CrossRef] [PubMed]
  70. Wang, C.; Liu, Q.; Yang, W.; Dong, Q.; Yang, X.; He, D.; Zhang, P.; Dong, K.; Huang, Y. Effects of selenium yeast on rumen fermentation, lactation performance and feed digestibilities in lactating dairy cows. Livest. Sci. 2009, 126, 239–244. [Google Scholar] [CrossRef]
  71. Durand, M.; Kawashima, R. Influence of minerals in rumen microbial digestion. In Digestive Physiology and Metabolism in Ruminants, Proceedings of the 5th International Symposium on Ruminant Physiology, Clermont-Ferrand, France, 3–7 September 1979; Springer: Dordrecht, The Netherlands, 1980; pp. 375–408. [Google Scholar]
  72. Hilal, E.Y.; Elkhairey, M.A.; Osman, A.O. The role of zinc, manganse and copper in rumen metabolism and immune function: A review article. Open J. Anim. Sci. 2016, 6, 304–324. [Google Scholar] [CrossRef]
  73. Guimaraes, O.; Jalali, S.; Wagner, J.J.; Spears, J.W.; Engle, T.E. Trace mineral source impacts rumen trace mineral metabolism and fiber digestion in steers fed a medium-quality grass hay diet. J. Anim. Sci. 2021, 99, skab220. [Google Scholar] [CrossRef]
  74. Bach, A.; Calsamiglia, S.; Stern, M. Nitrogen metabolism in the rumen. J. Dairy Sci. 2005, 88, E9–E21. [Google Scholar] [CrossRef]
  75. Rodríguez-Rodríguez, M.; Barroso, F.G.; Fabrikov, D.; Sánchez-Muros, M.J. In vitro crude protein digestibility of insects: A review. Insects 2022, 13, 682. [Google Scholar] [CrossRef] [PubMed]
  76. Ahmed, E.; Nishida, T. Optimal Inclusion Levels of Cricket and Silkworm as Alternative Ruminant Feed: A Study on Their Impacts on Rumen Fermentation and Gas Production. Sustainability 2023, 15, 1415. [Google Scholar] [CrossRef]
  77. Kim, D.; Mizinga, K.; Kube, J.; Friesen, K.; McLeod, K.; Harmon, D. Influence of monensin and lauric acid distillate or palm oil on in vitro fermentation kinetics and metabolites produced using forage and high concentrate substrates. Anim. Feed Sci. Technol. 2014, 189, 19–29. [Google Scholar] [CrossRef]
  78. Nalla, K.; Manda, N.K.; Dhillon, H.S.; Kanade, S.R.; Rokana, N.; Hess, M.; Puniya, A.K. Impact of probiotics on dairy production efficiency. Front. Microbiol. 2022, 13, 805963. [Google Scholar] [CrossRef] [PubMed]
  79. Wynants, E.; Frooninckx, L.; Crauwels, S.; Verreth, C.; De Smet, J.; Sandrock, C.; Wohlfahrt, J.; Van Schelt, J.; Depraetere, S.; Lievens, B. Assessing the microbiota of black soldier fly larvae (Hermetia illucens) reared on organic waste streams on four different locations at laboratory and large scale. Microb. Ecol. 2019, 77, 913–930. [Google Scholar] [CrossRef]
  80. Selenius, O.; Korpela, J.; Salminen, S.; Gallego, C.G. Effect of chitin and chitooligosaccharide on in vitro growth of Lactobacillus rhamnosus GG and Escherichia coli TG. Appl. Food Biotechnol. 2018, 5, 163–172. [Google Scholar]
  81. Choi, C.-R.; Kim, E.-K.; Kim, Y.-S.; Je, J.-Y.; An, S.-H.; Lee, J.D.; Wang, J.H.; Ki, S.S.; Jeon, B.-T.; Moon, S.-H.; et al. Chitooligosaccharides decreases plasma lipid levels in healthy men. Int. J. Food Sci. Nutr. 2012, 63, 103–106. [Google Scholar] [CrossRef]
  82. Miltko, R.; Kowalik, B.; Michałowski, T.; Bełżecki, G. Chitin as a source of energy for rumen ciliates. J. Anim. Feed Sci. 2015, 24, 203–207. [Google Scholar] [CrossRef]
Figure 1. Effect of different levels of BSF on gas production. “*” means p < 0.05, indicating a significant difference; “**” means p < 0.01, indicating an extremely significant difference.
Figure 1. Effect of different levels of BSF on gas production. “*” means p < 0.05, indicating a significant difference; “**” means p < 0.01, indicating an extremely significant difference.
Insects 15 00343 g001
Figure 2. Effect of different levels of BSF on CH4 production. “*” means p < 0.05, indicating a significant difference; “**” means p < 0.01, indicating an extremely significant difference.
Figure 2. Effect of different levels of BSF on CH4 production. “*” means p < 0.05, indicating a significant difference; “**” means p < 0.01, indicating an extremely significant difference.
Insects 15 00343 g002
Table 1. Ingredients and chemical composition of experimental diets used in treatments.
Table 1. Ingredients and chemical composition of experimental diets used in treatments.
ItemsTreatmentsSEMp-Value
BSF0BSF5BSF10BSF15
Ingredient, % DM
Corn60.060.060.060.0
Soybean meal25.020.015.110.5
Rice bran7.58.910.410.0
Cassava3.03.03.03.0
BSF-5.010.015.0
Soybean oil3.01.6--
Limestone0.20.20.20.2
NaCl0.30.30.30.3
Premix 11.01.01.01.0
Chemical composition, % DM
DM87.888.788.889.00.180.14
Ash5.0 b5.4 a5.4 a5.5 a0.070.02
CP13.313.914.214.00.16<0.01
EE4.0 b4.5 ab5.5 a5.5 a0.25<0.01
NDF44.9 a41.8 b42.5 b43.5 ab0.230.03
ADF24.423.823.923.30.110.12
1 Contents per kilogram premix: 10,000,000 IU vitamin A; 70,000 IU vitamin E; 1,600,000 IU vitamin D; 50 g iron; 40 g zinc; 40 g manganese; 0.1 g cobalt; 10 g copper; 0.1 g selenium; 0.5 g iodine. ADF = acid detergent fiber, CP = crude protein, DM = dry matter, EE = ether extract, NDF = neutral detergent fiber. SEM = pooled standard error of treatment means. Different shoulder letters in the same row of data indicate significant differences (p < 0.05).
Table 2. Fatty acid composition of experimental diets used in treatments.
Table 2. Fatty acid composition of experimental diets used in treatments.
Fatty AcidsTreatments
BSF0BSF5BSF10BSF15
C10:00.020.050.050.04
C12:00.002.204.196.29
C14:00.160.120.250.29
C16:014.6714.1813.9612.68
C18:02.321.672.161.97
C18:1 c921.4920.7820.4518.60
C18:2 n-640.4737.8437.0732.06
C18:3 n-32.852.562.422.01
C20:00.100.040.050.03
C20:10.050.040.040.03
C22:00.060.040.040.02
SFA17.3318.3020.7021.32
UFA64.8661.2959.9752.69
n-6 PUFA40.4737.8437.0732.06
n-3 PUFA2.852.562.422.01
n-3 PUFA/n-6 PUFA, %7.046.776.536.27
PUFA = polyunsaturated fatty acid, SFA = saturated fatty acid, UFA = unsaturated fatty acid.
Table 3. The approximate composition of BSF.
Table 3. The approximate composition of BSF.
ItemsContents
DM973.3 g/kg
CP407.4 g/kg
EE327.0 g/kg
Ash82.8 g/kg
CF57.7 g/kg
Ca33.9 mg/kg
P898.4 mg/kg
Na61.8 mg/kg
Cu9.6 mg/kg
Se0.5 mg/kg
Chitin0.71 g/kg
CP = crude protein, DM = dry matter, EE = ether extract.
Table 4. Amino acid content of BSF (g/100 g).
Table 4. Amino acid content of BSF (g/100 g).
ItemsContents
Indispensable amino acids
Arginine2.47
Histidine1.43
Isoleucine1.72
Leucine2.88
Lysine2.60
Methionine1.27
Phenylalanine1.69
Threonine1.68
Valine2.37
Dispensable amino acids
Alanine2.73
Aspartic acid3.62
Cysteine0.26
Glycine2.33
Glutamic acid5.31
Proline1.87
Serine1.65
Tyrosine2.28
Table 5. The fatty acid content of BSF (g/100 g).
Table 5. The fatty acid content of BSF (g/100 g).
ItemsContents
C10:00.11
C12:041.9
C14:06.80
C15:00.04
C16:05.17
C16:10.49
C17:00.06
C18:00.99
c9 C18:17.58
C18:2n-69.39
C18:3n-30.82
C20:00.02
C20:10.05
C20:5n-30.16
C21:00.62
C23:00.39
SFA56.10
MUFA8.13
PUFA10.37
TUFA18.50
n-6 PUFA9.39
n-3 PUFA0.98
TUFA/SFA, %32.98
n-3 PUFA/n-6 PUFA, %10.4
PUFA = polyunsaturated fatty acid, SFA = saturated fatty acid, MUFA = monounsaturated fatty acid, TUFA = total unsaturated fatty acid.
Table 6. Effect of different levels of BSF on pH and NH3-N.
Table 6. Effect of different levels of BSF on pH and NH3-N.
ItemsTreatments
BSF0BSF5BSF10BSF15SEMp-Value
pH
3 h6.966.997.147.130.150.13
6 h6.786.666.596.620.250.71
9 h6.946.937.007.010.120.63
12 h7.006.957.047.040.100.56
Mean6.926.886.946.950.110.83
NH3-N, mg/dL
3 h0.89 b0.85 b1.11 a1.20 a0.18<0.01
6 h1.13 b1.51 a1.34 a1.01 b0.22<0.01
9 h1.51 ab1.64 a1.43 ab1.26 b0.200.01
12 h1.191.321.201.160.170.45
Mean1.18 b1.33 a1.28 ab1.16 b0.100.01
SEM = pooled standard error of treatment means. Different shoulder letters in the same row of data indicate significant differences (p < 0.05).
Table 7. Effect of different levels of BSF on VFAs.
Table 7. Effect of different levels of BSF on VFAs.
ItemsTreatments
BSF0BSF5BSF10BSF15SEMp-Value
Acetic acid (mmol/L)
3 h21.2724.7124.1918.284.540.10
6 h53.00 a60.03 a52.71 a40.50 b8.62<0.01
9 h67.9668.1869.1562.225.410.19
12 h72.7872.9774.3566.235.820.13
Mean53.76 a56.47 a55.10 a46.81 b4.88<0.01
Propionic acid (mmol/L)
3 h7.44 b10.00 a8.01 b6.00 c1.73<0.01
6 h15.68 a17.02 a15.81 a12.46 b2.22<0.01
9 h18.15 a20.47 a18.45 a15.58 b2.31<0.01
12 h19.16 ab20.04 a19.25 ab16.56 b2.69<0.01
Mean15.11 b17.38 a15.38 b12.65 c2.65<0.01
Butyric acid (mmol/L)
3 h7.757.917.657.260.490.21
6 h9.85 b10.46 a9.18 bc8.78 c0.85<0.01
9 h9.239.849.248.850.790.26
12 h15.4316.0215.0614.820.800.11
Mean10.57 ab11.06 a10.28 b9.93 b0.57<0.01
A:P
3 h2.932.463.063.030.530.26
6 h3.393.563.374.000.430.78
9 h3.783.363.744.110.450.15
12 h3.803.483.754.110.460.21
Mean3.473.223.483.600.300.22
Total VFAs (mmol/L)
3 h36.47 ab42.62 a39.85 a31.55 b6.250.02
6 h78.54 a87.51 a77.69 a61.73 b11.00<0.01
9 h95.35 a98.49 a96.84 a88.65 b7.140.03
12 h107.37 a111.04 a108.66 a97.61 b7.560.02
Mean79.43 a85.92 a80.76 a69.38 b6.65<0.01
A:P = acetic acid:propionic acid, SEM = pooled standard error of treatment means. Different shoulder letters in the same row of data indicate significant differences (p < 0.05).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Lu, S.; Chen, S.; Paengkoum, S.; Taethaisong, N.; Meethip, W.; Surakhunthod, J.; Wang, Q.; Thongpea, S.; Paengkoum, P. Effects of Black Soldier Fly (Hermetia illucens L., BSF) Larvae Addition on In Vitro Fermentation Parameters of Goat Diets. Insects 2024, 15, 343. https://doi.org/10.3390/insects15050343

AMA Style

Lu S, Chen S, Paengkoum S, Taethaisong N, Meethip W, Surakhunthod J, Wang Q, Thongpea S, Paengkoum P. Effects of Black Soldier Fly (Hermetia illucens L., BSF) Larvae Addition on In Vitro Fermentation Parameters of Goat Diets. Insects. 2024; 15(5):343. https://doi.org/10.3390/insects15050343

Chicago/Turabian Style

Lu, Shengyong, Shengchang Chen, Siwaporn Paengkoum, Nittaya Taethaisong, Weerada Meethip, Jariya Surakhunthod, Qingfeng Wang, Sorasak Thongpea, and Pramote Paengkoum. 2024. "Effects of Black Soldier Fly (Hermetia illucens L., BSF) Larvae Addition on In Vitro Fermentation Parameters of Goat Diets" Insects 15, no. 5: 343. https://doi.org/10.3390/insects15050343

APA Style

Lu, S., Chen, S., Paengkoum, S., Taethaisong, N., Meethip, W., Surakhunthod, J., Wang, Q., Thongpea, S., & Paengkoum, P. (2024). Effects of Black Soldier Fly (Hermetia illucens L., BSF) Larvae Addition on In Vitro Fermentation Parameters of Goat Diets. Insects, 15(5), 343. https://doi.org/10.3390/insects15050343

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

Article Metrics

Back to TopTop