Startseite Effects of encapsulation and combining probiotics with different nitrate forms on methane emission and in vitro rumen fermentation characteristics
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Effects of encapsulation and combining probiotics with different nitrate forms on methane emission and in vitro rumen fermentation characteristics

  • Mohammed Abdelbagi , Roni Ridwan EMAIL logo , Rusli Fidriyanto , Sandi Nayohan , Nahrowi Nahrowi und Anuraga Jayanegara EMAIL logo
Veröffentlicht/Copyright: 2. Dezember 2024

Abstract

This study aimed to evaluate the effects of encapsulation and combining probiotics with different nitrate forms on methane emission and the in vitro fermentation process of ruminants. Sodium nitrate (NaNO3) and nitric acid (HNO3) were used as nitrate forms, while lactic acid bacteria Lactiplantibacillus plantarum TSD-10 was used as a probiotic source. Twelve different treatments with four replicates were allocated in the factorial block design (2 × 2 × 3). During each replicate, the test was conducted individually in a different week so that each block could be considered separately. Data analysis followed the analysis of variance (ANOVA) and then continued with the Duncan multiple range test. After encapsulation, significant increases (p < 0.05) in gas production, gas kinetics, total volatile fatty acids (TVFAs), and production of propionic acid were observed. In addition, encapsulation significantly decreased (p < 0.05) the pH, ammonia concentration (NH3), nutrient digestibility, and the ratio of acetic to propionic acid (p < 0.05). The addition of combined encapsulated probiotics and encapsulated nitrate significantly increased (p < 0.05) gas production, maximum gas production, TVFAs, and the molar portion of propionic acid, and significantly decreased (p < 0.05) enteric methane emission, acetic acid, ammonia concentration, pH, and nutrient digestibility. The addition of sodium nitrate significantly increased (p < 0.05) the concentration of TVFAs and acetic acid, while nitric acid significantly increased (p < 0.05) the gas production rate. However, there was no significant effect due to combining unencapsulated probiotics with unencapsulated nitrate forms on the rumen fermentation process. There was a significant interaction (p < 0.05) between encapsulation probiotics and nitrate on ammonia concentration. In conclusion, combining encapsulated probiotics with encapsulated nitrate is an alternative method for enhancing the fermentation process and mitigating enteric methane emission in ruminants.

1 Introduction

Methane (CH4) is normally produced as a result of microbial activity, especially archaeal methanogens, during the fermentation process in ruminants [1]. In addition, methane is the second greatest greenhouse gas (GHG) after carbon dioxide [1]. Methane gained its importance among the other greenhouse gases due to its potential contribution to climate change and global warming phenomena [2,3,4]. On the other hand, the livestock sector has an important contribution to methane emission, which reaches about 14.5% of the total emitted methane in the globe [5]. In addition, 12% of gross energy (GE) losses in ruminants are lost due to the enteric methane emission. Thus, the issue of enteric methane emission is in relation to feed utilization, productivity, and global warming [6]. Therefore, the dietary options that are used for mitigating enteric methane emissions in ruminants are effective in elevating environmental concerns, improving utilization, and improving animal productivity [7]. Among the dietary options for mitigating such enteric methane emissions, the use of feed additives has been considered a promising option [8].

Both nitrate and probiotics have been suggested as feed additives to inhibit methane emission in ruminant animals [9,10,11,12]. Nitrate has the potential to inhibit enteric methane in ruminants due to its ability to act as an electron acceptor [13,14]. Moreover, nitrate is toxic for both methanogens [15] and ruminants themselves due to its relation with methemoglobinemia that occurs as a result of consuming high nitrate diets [16,17,18]. Despite the effectiveness of nitrate as a methane inhibitor, nitrate is still widely unused in ruminant nutrition. On the other hand, probiotics were proposed to mitigate enteric methane emission in ruminants [19] through two different mechanisms: first, probiotics have the ability to stimulate the growth of lactic acid utilizing bacteria, resulting in high production of propionic acid and subsequently decrease hydrogen molecules for forming methane during the fermentation process in ruminant animals [20]. Second, probiotics contribute to providing some nutrients for bacterial growth. The nutrients include some metabolic intermediates and vitamins that are essentially used for bacterial growth, and therefore, this may negatively affect methanogen growth [21].

Many experiments have been investigated to determine the effects of combining nitrate with other inhibitors on reducing enteric methane emission, improving utilization, and improving animal productivity. For instance, nitrate and nitrate-reducing bacteria have been used to enhance nitrate reduction [22]. Also, combining nitrate with saponin was previously examined. The authors did not observe significant effects due to combining nitrate with saponin on rumen microorganisms [23]. Additionally, the effects of combining nitrate with garlic oils were examined by using different raw materials. The results showed a significant effect of combining methane with garlic oils on methanogens [24].

Encapsulation is a process that is used to prevent nutrients from undesirable conditions over time by improving their stability and bioavailability and controlling their release rate at specific times and places [25]. Encapsulated nitrate was reported to reduce methane production without negatively affecting the performance of animals [26]. To date, there has been no research on the effects of combining probiotics with nitrate forms. Therefore, we hypothesized that encapsulation and combining probiotics with nitrate forms would influence the rumen fermentation process and decrease enteric methane emissions in ruminants. Therefore, in this study, we aimed to evaluate the effects of encapsulation and combine probiotics with different nitrate forms on enteric methane emission and in vitro fermentation characteristics.

2 Materials and methods

All research procedures in the present study were performed at the Research Center for Applied Zoology, National Research and Innovation Agency (BRIN), Cibinong, Indonesia, and the Department of Nutrition and Feed Technology, IPB University, Bogor, Indonesia.

2.1 Materials

A commercial concentrate containing soya bean meal, rice bran, corn meal, corn gluten feed (CGF), distiller dried grains with solubles (DDGS), and others was purchased from the Indofeed Mini Feed mill, Bogor, West Java. In this study, elephant grass (Pennisetum purpureum) was used as a source of forage. Forage was collected from the surrounding area of the research farm of KST Soekarno-BRIN, Cibinong, West Java, Indonesia. Lactiplantibacillus plantarum (10 log CFU/ml (TSD-10)) was used as a probiotic source. Probiotics were prepared by culturing L. plantarum in a facultative fermentation medium at 30°C in deMan Rogosa Sharpe (MRS) broth medium (Merck, Darmstadt, Germany). Preparation was done in the Genomic and Environmental Laboratory of the National Research and Innovation Agency (BRIN), Cibinong. In this study, maltodextrin was used as a coating material for encapsulation. Maltodextrin was in a powder readily used form. Sodium nitrate (NaNO3), 99% purity, and nitric acid (HNO3), 70% purity, were used as sources of nitrate. Sodium nitrate was supplied by Merck(Darmstadt, Germany), while nitric acid was obtained from Loba Chemie Pvt. Ltd. (Mumbai, India).

2.2 Encapsulation process

Encapsulation was done by using a freeze dryer, according to Chen Man et al. [27]. Briefly, 10 mM of NaNO3 and HNO3 were dissolved in 10 ml of distilled water. Then, 10 ml of probiotics containing 10 (log CFU/ml) was mixed with 10 g of maltodextrin. The mixture was prepared from different nitrate forms (sodium nitrate, nitric acid), probiotics, and maltodextrin (1:1:1) to obtain 10 mM nitrate. A total of 10 g of maltodextrin, 10 ml of sodium nitrate and nitric acid, and 10 ml of probiotics L. plantarum TSD-10 were mixed. The mixture was immediately kept at 20°C in the freezer for 15 min to homogenize. Subsequently, samples were placed overnight in an 80°C deep freezer (CHRIST Alpha 1-4 LD plus) until they became completely dry. After that, samples were ground by using a mortar and pestle to be used in the next steps.

2.3 In vitro experimental procedure

Feed materials (concentrates and the forage) were ground to pass a 1 mm screen size. Then, feed samples (concentrate and forage materials) were analyzed before adding nitrate forms or probiotics using the method described by Ridwan et al. [28] (Table 1). A feed ratio of 60% concentrates and 40% forages was used. Further, diets were designed in a 2 × 3 × 3 factorial design with 12 different treatments. Treatments were prepared by adding 0.5 g of nitrate forms and 0.5 ml of L. plantarum TSD-10. Treatments included T1(encapsulated NaNO3 without probiotics), T2 (encapsulated NaNO3 with probiotics), T3 (encapsulated NaNO3 with encapsulated probiotics), T4 (non-encapsulated NaNO3 probiotics without probiotics), T5 (non-encapsulated NaNO3 probiotics with probiotics), T6 (non-encapsulated NaNO3 probiotics with encapsulated probiotics), T7 (encapsulated HNO3 without probiotics), T8 (encapsulated HNO3 with probiotics), T9 (encapsulated HNO3 with encapsulated probiotics), T10 (non-encapsulated HNO3 probiotics without probiotics), T11 (non-encapsulated HNO3 with probiotics), and T12 (non-encapsulated HNO3 probiotics with encapsulated probiotics). Treatments were quadruplicated according to the number of in vitro incubation runs. Each of the replicates was run individually in different weeks. Each week was considered a block by itself.

Table 1

Chemical composition of fistulated cattle basal diet and in vitro substrate (% dry matter)

Item Basal diet In vitro substrate
Forage Concentrate
Ash 2.3 3.0 3.2
CP 8.25 16.0 16.6
EE 1.92 5.30 4.83
CF 35.8 15.8 21.1
NDF 61.1 44.1 44.1
ADF 40.7 33.0 28.1

CP, crude protein; EE, ether extract; CF, crude fiber; NDF, neutral detergent fiber; ADF, acid detergent fiber.

The buffer medium was prepared anaerobically following the method of McDougall [29]. Rumen fluids were collected from two rumen fistulated Ongole crossbred males with an average body weight of 550 ± 30 kg. Steers were handled and maintained in accordance with the protocols of animal welfare of the Animal Care and Use Committee of the Indonesian Institute of Sciences 2015. Animals were fed two times a day (morning and afternoon). The feed substrate consisted of 40% forages and 60% concentrates. Water was freely accessible by animals. The rumen fluid collection was done before the morning feeding, around 7:00 a.m. Rumen solutions were sieved through a four-layer cheesecloth. A total of 500 ml of rumen fluid from each animal was collected and kept separately in pre-warm bottles. After collection, solutions were brought immediately to the laboratory and kept in a water bath at 39°C. Each of the collected fluids was separately transferred to the conical flask, sealed with an aluminum foil. After that, the rumen pH was determined and recorded. The pH was measured by using a TRAI BP3001 pH meter, e.g., the average pH of the samples collected from steer No. 1 was 6.93, and that of the sample from steer No. 2 was 6.91. The rumen buffered solution was mixed at 1:2 of rumen fluid/buffered solution. Subsequently, a rumen buffer solution was placed in a conical flask, which was sealed with an aluminum foil. Each of the rumen buffer solutions was continuously purged with CO2 to maintain the pH value and the anaerobic conditions. The pH value of the mixture was also recorded (pH 7.2 and 7.1). Incubation was done in accordance with a modified protocol of Theodorou et al. [30]. Forty-eight vials (100 ml) were filled with 50 ml of rumen buffer fluid containing 500 mg of the experimental substrate. All bottles were sealed with butyl rubber stoppers and aluminum crimps before placing into a 39°C water bath. Then, all bottles were incubated for 72 h using a 39°C water bath. However, the bottles were frequently shaken every 1 h. Each of the treatments had two blank bottles. Incubation was run four times during four different weeks. Each week was considered as a replicate by itself.

After 72 h of incubation, the gas production of each bottle was vented and recorded at 2, 4, 6, 8, 10, 12, 24, 48, and 72 h. Methane concentration was measured at 8, 10, 12, 24, 48, and 72 h. Total gas production was measured using a 50 ml syringe, while methane concentration was measured using a methane analyzer (RIKEN KEIKI RX415). Gas production kinetics were estimated using the Ørskov equation: p = a + b (1 − e−c.t) [31]. After 72 h of incubation, the serum in each bottle was sieved carefully in the plastic corning and the pH of the residues was measured. However, calibration of the Cyberscan pH 310 Eutech equipment was done using a pH 7 buffer solution. Later, each corning was centrifuged at 6,000 for 10 min at −4°C to determine the nutrient digestibility (dry matter and organic matter digestibility). The nutrient digestibility was measured as described by Tilley and Terry [32]. Residues were added to 20 ml of 0.2% pepsin HCL solution. Then, all samples were incubated for another 24 h. After incubation, the samples were dried at 130°C for 8 h and then burnt at 600°C for 3 h to obtain the nutrient digestibility (DMD and the OMD). The in vitro nutrient digestibility of the dry matter (IVDMD) and organic matter (IVOMD) was determined by subtracting the amount of the initial substrate from the substrates after the drying and burning processes. Total and partial volatile fatty acids were determined by using 10 ml of the supernatant, which was filtered carefully and collected in a plastic corning. The concentration of total volatile fatty acids (TVFAs, mg/L) was determined by using a spectrophotometer (495λ), as described in the study of Biswabandhu and Radhakrishnan [33]. Further, the molar portions of partial volatile fatty acids were determined using a GC machine (GC-MS-QP2010 SE) using a MEGA-WAX MS column (025-02530). Another 5 ml of the supernatant was used for determining ammonia concentration. Ammonia concentrations were quantified using a spectrophotometer (630λ) in accordance with the study of Souza et al. [34].

2.4 Statistical analysis

Data were analyzed using the general linear model procedure with a 2 × 2 × 3 factorial arrangement. The first factor included two different physical forms (encapsulated and non-capsulated). The second factor included two different chemical forms (NaNO3 and HNO3). The third factor included three different probiotic treatments (without probiotics, with probiotics, and with encapsulated probiotics). The allocation of treatments to experimental units followed a completely randomized block factorial design. Different in vitro operations served as blocks due to population variations and rumen microbial activity with each sampling time (each week). Data were analyzed by analysis of variance (ANOVA) based on a completely randomized factorial block design. When the ANOVA results showed p < 0.05 for a particular parameter, a post-hoc test, namely Duncan’s multiple range test, was applied to the data. Data analysis was performed using SAS Statistics software version 9.1.4. The figures are presented using Microsoft Office Excel.

3 Results

The effects of encapsulated and combining probiotics with nitrate forms on gas production and methane production are shown in Table 2. Gas production kinetics on the effects of encapsulation and nitrate types are presented in Figures 1 and 2, respectively. The effects of encapsulated and combining probiotics with nitrate forms on rumen fermentation parameters are presented in Table 3. The effects of encapsulated and combined probiotics with nitrate forms on the partial volatile fatty acids are shown in Table 4. Treatments significantly influenced the fermentation process. After encapsulation, we observed a significant increase in the gas production, gas kinetics, TVFAs, and production of propionic acid. In addition, encapsulation significantly decreased the pH, ammonia concentration (NH3), nutrient digestibility, and the ratio of acetic to propionic acid (p < 0.05). The addition of combined encapsulated probiotics and encapsulated nitrate significantly increased the gas production, maximum gas production, TVFAs, and the molar portion of propionic acid and significantly decreased enteric methane emission, acetic acid, ammonia concentration, pH, and nutrient digestibility (p < 0.05). The addition of sodium nitrate significantly increased the concentration of TVFAs and acetic acid, while nitric acid significantly increased the gas production rate (p < 0.05). However, there was no significant effect due to combining unencapsulated probiotics with unencapsulated nitrate forms on the rumen fermentation process. There was a significant interaction among encapsulation probiotics and nitrate on ammonia concentration.

Table 2

Effects of treatments on in vitro gas production and methane emission

Item Total gas (ml/g DM) a + b (ml/g DM) c (/h) CH4 (% gas)
Encapsulation ENCAP 216 ± 32.5b 216 ± 29.4b 0.112 ± 0.016b 7.35 ± 4.25
Non-ENCAP 123 ± 75.6a 128 ± 70.5a 0.064 ± 0.043a 7.05 ± 3.81
Nitrate type N1 163 ± 77.1 162 ± 75.7a 0.089 ± 0.035 7.66 ± 4.43
N2 176 ± 72.9 181 ± 62.5b 0.087 ± 0.045 6.75 ± 3.87
Probiotics Without PRO 140 ± 71.9a 150 ± 62.4a 0.068 ± 0.038a 9.08 ± 4.16b
With PRO 141 ± 73.8a 140 ± 66.9a 0.076 ± 0.035a 8.35 ± 3.39b
With ENCAP-PRO 228 ± 63.7b 232 ± 30.2b 0.120 ± 0.025b 4.18 ± 3.16a
Treatment T1 204 ± 14.5b 194 ± 11.5c 0.100 ± 0.018bc 8.97 ± 5.05
T2 206 ± 16.4b 196 ± 14.1cd 0.107 ± 0.005bc 8.45 ± 4.52
T3 226 ± 51.7b 239 ± 43.2de 0.127 ± 0.032cd 2.20 ± 1.24
T4 60.3 ± 12.9a 63.0 ± 18.2a 0.037 ± 0.005a 8.03 ± 5.90
T5 63.5 ± 4.26a 63.0 ± 4.31a 0.050 ± 0.008ab 7.35 ± 2.67
T6 222 ± 20.3b 218 ± 13.2d 0.102 ± 0.012bc 5.51 ± 4.23
T7 210 ± 22.6b 205 ± 13.7cd 0.110 ± 0.001c 10.6 ± 3.73
T8 215 ± 19.1b 210 ± 9.54d 0.112 ± 0.009c 9.22 ± 4.17
T9 238 ± 21.3b 249 ± 25.0de 0.117 ± 0.015c 4.74 ± 3.17
T10 84.8 ± 21.1a 114 ± 22.6ab 0.027 ± 0.012a 8.78 ± 2.77
T11 79.5 ± 10.5a 89.5 ± 6.96a 0.035 ± 0.006a 8.38 ± 3.17
T12 228 ± 22.5b 221 ± 32.4cd 0.135 ± 0.029cd 4.26 ± 3.51
p-value Encapsulation <0.001 <0.001 <0.001 0.786
Nitrate type 0.117 0.003 0.634 0.421
Probiotics <0.001 <0.001 <0.001 0.002
Treatment <0.001 0.669 0.116 0.130
ENC*NITR 0.691 0.212 0.924 0.518
ENC*PRO <0.001 <0.001 <0.001 0.552
NITR*PRO 0.949 <0.275 0.305 0.982
ENC*NITR*PRO 0.816 0.287 0.007 0.747
Block <0.001 <0.001 <0.001 <0.001

a + b, potential gas production; c, gas production rate; ENCAP, encapsulation; Non-ENCAP, non-encapsulation; N1, sodium nitrate; N2, nitric acid; PRO, probiotics; ENCAP-PRO, encapsulated probiotics; ENC*NTR, the interaction between encapsulated and the nitrate type; ENCA*PRO, the interaction between encapsulated and probiotics; NTR*PRO, the interaction between the nitrate type and probiotics; ENC*NITR*PRO, the interaction among the encapsulated, nitrate type, and probiotics; T1, encapsulated sodium nitrate without probiotics; T2, encapsulated sodium nitrate with probiotics; T3, encapsulated sodium nitrate with encapsulated probiotics; T4, non-encapsulated sodium nitrate without probiotics; T5, non-encapsulated sodium nitrate with probiotics; T6, non-encapsulated sodium with encapsulated probiotics; T7, encapsulated nitric acid without probiotics; T8, encapsulated nitric acid with probiotics; T9, encapsulated nitric acid with encapsulated nitric acid; T10, non-encapsulated nitric acid without probiotics; T11, non-encapsulated nitric acid with probiotics; T12, non-encapsulated nitric acid with encapsulated probiotics; SEM, standard error of means; probability was considered significant when p-value <0.05; Small letter superscripts are in ascending order.

Figure 1 
               Effects of encapsulation on gas production kinetics.
Figure 1

Effects of encapsulation on gas production kinetics.

Figure 2 
               Effects of nitrate types on gas production kinetics.
Figure 2

Effects of nitrate types on gas production kinetics.

Table 3

Effects of treatments on the rumen fermentation characteristics

Item pH NH3 (mg/ml) IVDMD (%) IVOMD (%) TVFAs (mmol/g)
Encapsulation ENCAP 5.75 ± 0.57a 28.8 ± 15.6a 47.7 ± 17.0b 57.7 ± 15.2a 111 ± 17.6b
Non-ENCAP 6.53 ± 0.33b 39.1 ± 11.0b 58.8 ± 4.73a 68.5 ± 5.16b 64.6 ± 32.6a
Nitrate forms N1 6.19 ± 0.60 34.5 ± 14.4 53.3 ± 12.8 63.5 ± 12.3 91.9 ± 32.6b
N2 6.09 ± 0.61 33.4 ± 14.8 53.2 ± 14.6 62.7 ± 12.9 83.9 ± 37.5a
Probiotics Without encapsulation 6.41 ± 0.34ab 40.4 ± 8.74b 59.2 ± 5.85b 68.1 ± 4.49b 77.7 ± 36.4a
With encapsulation 6.38 ± 0.37ab 36.6 ± 12.4b 59.3 ± 17.1b 67.9 ± 3.40b 75.5 ± 37.0a
With encapsulation 5.63 ± 0.69c 24.9 ± 16.7a 41.4 ± 4.50a 53.3 ± 17.4a 110 ± 17.8b
Treatment T1 6.20 ± 0.07b 40.9 ± 5.81cd 61.1 ± 5.92b 69.9 ± 4.46b 98.9 ± 16.0b
T2 6.13 ± 0.07b 30.2 ± 1.25bc 57.6 ± 4.97b 66.7 ± 3.77b 110 ± 20.3b
T3 5.21 ± 0.08a 9.21 ± 3.63a 27.8 ± 8.35a 39.6 ± 6.58a 97.0 ± 7.70b
T4 6.76 ± 0.04c 35.0 ± 11.1bc 57.2 ± 4.99b 65.8 ± 4.07b 43.2 ± 11.5a
T5 6.74 ± 0.03c 41.9 ± 16.9bcde 59.3 ± 3.65b 67.8 ± 2.33b 42.6 ± 12.1a
T6 6.12 ± 0.08b 42.9 ± 5.47cd 57.0 ± 4.38b 71.2 ± 10.5b 112 ± 13.8bcd
T7 5.98 ± 0.07b 35.5 ± 4.76c 58.6 ± 6.36b 67.6 ± 4.83b 121 ± 13.2cd
T8 5.94 ± 0.09b 47.7 ± 6.86de 58.1 ± 4.84b 66.9 ± 3.64b 108 ± 10.5bc
T9 5.05 ± 0.04c 9.26 ± 1.74a 23.3 ± 4.91a 35.7 ± 4.09a 131 ± 14.0d
T10 6.70 ± 0.04c 50.1 ± 2.42de 59.9 ± 7.72b 68.9 ± 5.03b 47.2 ± 11.1a
T11 6.71 ± 0.07c 26.6 ± 6.12b 62.1 ± 4.86b 70.1 ± 3.89b 41.4 ± 13.5a
T12 6.14 ± 0.40b 38.0 ± 5.27cd 57.4 ± 2.16b 66.9 ± 1.04b 102 ± 14.5
p-value Encapsulation <0.001 <0.001 <0.001 <0.001 <0.001
Nitrate type 0.215 0.584 0.938 0.572 0.049
Probiotics <0.001 <0.001 <0.001 <0.001 <0.001
Treatment <0.001 <0.001 <0.001 <0.001 <0.001
ENC*NITR 0.329 0.179 0.203 0.427 0.011
ENC*PRO 0.187 <0.001 <0.001 <0.001 <0.001
NITR*PRO 0.927 0.381 0.645 0.292 0.253
ENC*NITR*PRO 0.999 <0.001 0.926 0.707 0.074
Block 0.948 0.838 <0.001 <0.001 <0.001

pH; the rumen pH value, NH3; ammonia concentration, IVDMD; in vitro dry matter digestibility, IVOMD; in vitro organic matter digestibility, ENCAP; encapsulation, Non-ENCAP; non-encapsulation, N1; sodium nitrate, N2; nitric acid, PRO; probiotics ENCAP-PRO; encapsulated probiotics, INTR; the interaction among the factors, ENC*NTR; the interaction between encapsulated and the nitrate type, ENCA*PRO; the interaction between encapsulated and the probiotics, NTR*PRO; the interaction between the nitrate type and probiotics, ENC*NITR*PRO; the interaction among the encapsulation, nitrate type, and probiotics,T1; encapsulated sodium nitrate without probiotics, T2; encapsulated sodium nitrate with probiotics, T3; encapsulated sodium nitrate with the encapsulated probiotics, T4; non-encapsulated sodium nitrate without probiotics, T5; non-encapsulated sodium nitrate with probiotics, T6; non-encapsulated sodium with encapsulated probiotics, T7; encapsulated nitric acid without probiotics, T8; encapsulated nitric acid with probiotics, T9; encapsulated nitric acid with encapsulated nitric acid, T10; non-encapsulated nitric acid without probiotics, T11; non-encapsulated nitric acid with probiotics, T12; non-encapsulated nitric acid with encapsulated probiotics, SEM; standard error of means, probability was considered when p-value <0.05. Small letter superscripts a: z are in ascending order.

Table 4

Effects of treatments on the partial volatile fatty acids

Item Acetate (%) Propionate (%) Isobutyrate (%) Butyrate (%) Isovalerate (%) Valerate (%) Acetate: Propionate (%)
Encapsulation Encap 49.1 ± 4.02a 40.9 ± 6.93b 0.75 ± 0.32b 5.97 ± 1.87b 0.34 ± 0.34a 1.46 ± 0.0.43b 1.26 ± 0.34a
Non-encap 60.3 ± 10.2b 30.9 ± 10.8a 0.43 ± 0.69a 4.14 ± 2.0a 0.60 ± 0.37b 1.24 ± 0.51a 2.28 ± 1.01b
Nitrate type N1 55.9 ± 9.77b 36.7 ± 10.5 0.60 ± 0.54 5.30 ± 2.28 0.52 ± 0.37 1.45 ± 0.43 1.85 ± 0.96
N2 53.5 ± 9.31a 34.9 ± 10.3 0.57 ± 0.59 4.81 ± 1.99 0.51 ± 0.36 1.24 ± 0.52 1.67 ± 0.87
Probiotics Without 57.4 ± 9.23b 33.6 ± 9.78a 0.72 ± 0.62b 6.12 ± 1.86b 0.63 ± 0.34b 1.20 ± 0.32a 1.95 ± 0.94b
With 58.3 ± 10.9b 32.6 ± 11.4a 0.68 ± 0.61b 5.87 ± 1.97a 0.58 ± 0.31b 1.15 ± 0.44a 2.12 ± 1.05b
With-ENCAP 48.5 ± 4.20a 41.4 ± 7.67b 0.38 ± 0.37a 4.47 ± 2.25a 0.32 ± 0.37a 1.69 ± 0.49b 1.23 ± 0.37a
Treatment T1 50.9 ± 3.65b 38.0 ± 5.45b 6.62 ± 0.26bcd 6.62 ± 2.51cd 0.67 ± 0.42bcde 1.40 ± 0.24bc 1.37 ± 0.27a
T2 50.2 ± 5.44b 39.5 ± 10.4b 6.35 ± 0.45bcd 6.34 ± 2.48cd 0.67 ± 0.45bcde 1.34 ± 0.51abc 1.37 ± 0.50a
T3 51.0 ± 6.11b 38.8 ± 10.2b 6.49 ± 0.37bcd 6.49 ± 1.80cd 0.39 ± 0.38abc 1.23 ± 0.56abc 1.42 ± 0.58a
T4 66.8 ± 1.32a 25.5 ± 6.03a 2.92 ± 0.85a 2.92 ± 0.74a 0.71 ± 0.46bcd 0.90 ± 0.20ab 2.78 ± 0.90b
T5 70.0 ± 2.36a 22.8 ± 4.32a 2.68 ± 0.74a 2.68 ± 0.32a 0.51 ± 0.13bc 0.88 ± 0.20ab 3.16 ± 0.65b
T6 46.8 ± 1.87b 45.4 ± 4.58b 3.81 ± 0.28ab 3.81 ± 0.48ab 0.16 ± 0.06a 1.68 ± 0.31c 1.06 ± 0.12a
T7 46.8 ± 1.34b 45.0 ± 4.33b 4.36 ± 0.24ab 4.36 ± 0.58bc 0.25 ± 0.49ab 1.47 ± 0.25bc 1.05 ± 0.12a
T8 46.6 ± 3.48b 43.8 ± 6.01b 5.09 ± 0.36bc 5.89 ± 1.91c 0.47 ± 0.23bc 1.40 ± 0.61bc 1.08 ± 0.22a
T9 49.4 ± 1.84b 40.1 ± 4.22b 6.94 ± 0.24c 6.94 ± 0.61d 0.21 ± 0.08a 1.90 ± 0.12c 1.24 ± 0.16a
T10 65.1 ± 2.37a 26.0 ± 5.57a 3.97 ± 0.89ab 3.97 ± 0.36ab 0.69 ± 0.07c 1.02 ± 0.23ab 2.61 ± 0.67b
T11 66.4 ± 2.03a 24.2 ± 5.17a 4.23 ± 0.84ab 4.23 ± 3.41bc 0.87 ± 0.30cde 0.98 ± 0.21ab 2.85 ± 0.69b
T12 46.7 ± 3.48b 41.3 ± 10.9b 7.25 ± 0.57de 7.25 ± 2.13df 0.63 ± 0.54abcde 1.94 ± 0.58cd 1.22 ± 0.44a
p-value ENCAP <0.001 <0.001 0.0574 0.0005 0.0757 0.0496 <0.0001
NITR 0.021 0.384 0.7862 0.3104 0.8926 0.0621 0.229
PRO <0.001 0.002 0.1870 0.0129 0.0218 0.0014 0.0001
Treatment <0.001 <0.001 0.5742 0.0012 0.0334 0.000 <0.0001
ENC*NITR 0.494 0.222 0.4325 0.0031 0.0041 0.6279 0.583
ENC*PRO <0.001 <0.001 0.6273 0.6282 0.8568 0.0163 0.0001
NITR*PRO 0.507 0.531 0.8628 0.0985 0.2957 0.2674 0.6888
ENC*TR*PRO 0.890 0.931 0.8708 0.9768 0.7481 0.6228 0.866
Block 0.187 0.220 <0.0001 0.4337 0.3773 0.0033 <0.0001

ENCAP; encapsulation, Non-ENCAP; non-encapsulation, N1; sodium nitrate, N2; nitric acid, PRO; probiotics ENCAP-PRO; encapsulated probiotics, INTR; the interaction among the factors, ENC*NTR; the interaction between encapsulated and the nitrate type, ENCA*PRO; the interaction between encapsulated and the probiotics, NTR*PRO; the interaction between the nitrate type and probiotics, ENC*NITR*PRO; the interaction among the encapsulation, nitrate type, and probiotics,T1; encapsulated sodium nitrate without probiotics, T2; encapsulated sodium nitrate with probiotics, T3; encapsulated sodium nitrate with the encapsulated probiotics; T4; non-encapsulated sodium nitrate without probiotics, T5; non-encapsulated sodium nitrate with probiotics, T6; non-encapsulated sodium with encapsulated probiotics, T7; encapsulated nitric acid without probiotics, T8; encapsulated nitric acid with probiotics, T9; encapsulated nitric acid with encapsulated nitric acid; T10; non-encapsulated nitric acid without probiotics, T11; non-encapsulated nitric acid with probiotics, T12; non-encapsulated nitric acid with encapsulated probiotics, SEM; standard error of means, probability was considered when p-value < 0.05. Small letter superscripts a: z are in ascending order.

4 Discussion

We observed a significant influence of encapsulation on the fermentation process. Encapsulation increased significantly the TVFAs, gas production, maximum gas production, and gas production rate. Also, we observed a significant increase in gas production and TVFAs due to combining encapsulated probiotics with encapsulated nitrate forms. Among other treatments, the highest gas production and the highest TVFAs were scored as a result of combining encapsulated probiotics with encapsulated nitrate forms before or after encapsulation. The results were consistent with those of previous studies [9,35], which reported a significant increase in the total produced gas and TVFAs due to the addition of encapsulated probiotics and encapsulated nitrate. Also, there was a significant interaction between probiotics and encapsulation in gas production.

The increase in the gas production rate and amounts of TVFAs could probably be due to the effects of the encapsulation process. In this study, maltodextrin was used as a matrix for coating probiotics and nitrate during the encapsulation process. Maltodextrin is a readily fermented carbohydrate. Therefore, it could easily be attacked by rumen microorganisms, resulting in higher TVFAs and higher gas production [36]. However, several coating materials have been previously investigated [37,38]. For instance, maltodextrin was reported to increase the gas production rate and the amount of TVFAs produced, while a lower gas production rate was observed when sodium alginate was used as a matrix for encapsulation. Therefore, an increase in gas production and TVFAs is correlated with the types of coating materials. For example, carbohydrate materials are known to have a greater gas production rate as compared with other ingredients [39]. Generally, an increase in gas production does not indicate a deficiency of feed utilization; however, it indicates a higher fermentation rate of substrate degraded by rumen microorganisms [19]. According to Rahman et al. [40], changes in the gas production rates of different substrates are correlated with a significant shift in portions of TVFAs. Total gas naturally includes CO2, CH4, and small amounts of H2, N2, and O2 as a result of degrading nutrient substrates [41]. To avoid bias due to encapsulation, the amount of gas produced in this study as a result of degrading maltodextrin (about 20 ml) of the blank substrate was subtracted from the total gas production. On the other hand, there was no significant difference in gas production and TVFAs after adding unencapsulated probiotics to the diet before or after encapsulation. The results were consistent with those of previous studies [19,42]. This indicates the ability of probiotics to improve the fermentation process and maintain improved rumen conditions. Among nitrate forms, nitric acid has been shown to increase the gas production. Nitric acid is an acidic ion. It could reduce the pH values in rumen, resulting negatively in pathogen population and improving the fermentation rate by increasing both the gas production rate and amount of TFVAs.

After encapsulation, we observed a significant decrease in the pH value. Also, there was a significant decrease in the rumen pH value due to the addition of encapsulated probiotics and encapsulated nitrate in the diet. Among treatments, the lowest pH value was recorded due to combining encapsulated probiotics with encapsulated acid. There was a numerical reduction in the pH value due to combining encapsulated probiotics with encapsulated nitric acid as compared with combining encapsulated probiotics with encapsulated sodium nitrate. Among nitrate types, the pH value of nitric acid was numerically lower than sodium nitrate. Gawad and Fellner [35] found a significant decrease in the pH value due to encapsulation. In addition, Jiao et al. [42] observed no significant differences in the pH and TVFAs among encapsulated and non-encapsulated yeasts. Generally, the reduction of rumen pH is attributed to the rapid accumulation of TVFAs in the rumen [9]. The rapid commutation of organic acids is due to the significant increase of TFVAs in rumen as a result of improving the fermentation rate after encapsulation. This could correlate significantly with a significant reduction in the pH value in the rumen.

Also, the acid properties of nitric acid increase the reduction in pH. This indicates that both the encapsulation and acid properties of nitric acid would contribute to significantly reducing the rumen pH. Therefore, the lowest pH value among treatments was due to the addition of encapsulated probiotics and encapsulated nitric acid and can be attributed to the effects of both encapsulation and acid properties of nitric acid. After adding unencapsulated probiotics, the rumen pH value tends to be closer to the pH of treatments before encapsulation. We did not observe a significant difference between the addition of unencapsulated probiotics and combining unencapsulated with nitrate forms before and after encapsulation (T1 and T2, T4 and T5, T7 and T8, and T10 and T11). Thus, this indicates the ability of probiotics to sustain rumen conditions in the normal range. It is suggested that probiotics have the ability to sustain normal pH values [43]. According to Sari et al. [44], the normal pH value in the rumen is between 6.4 and 6.7.

We observed a significant decrease in nutrient digestibility and ammonia concentration after encapsulation. Moreover, the lowest digestion rate and the lowest ammonia concentration were observed due to the addition of combining encapsulated probiotics and encapsulated nitrate forms. Moreover, there was a significant interaction among encapsulation, probiotics, and nitrate forms on the ammonia concentration. On the other hand, by adding unencapsulated probiotics, we observed no significant effects on the digestion rate or ammonia concentration. Previously, Lund et al. [45] have reported a numerous reduction in nutrient digestion after encapsulation. Also, Lee et al. [46] found that ammonia concentration decreased linearly by adding encapsulated nitrate. Similarly, Makled et al. [38] reported lower concentrations of ammonia after encapsulation. The reduction in nutrient digestion follows the drastic reduction of pH value, which is caused by the rapid accumulation of TVFAs in the rumen because of encapsulation [47]. Faniyi et al. [48] reported that ammonia is produced mainly as a result of microbial activity on protein sources [49]. Therefore, ammonia production is usually affected positively or negatively by the digestion rate. The reduction in pH is usually linked to a reduction in nutrient digestibility (IVDMD and IVOMD), followed by a reduction in ammonia concentration. Sari et al. [44] stated that a normal range of pH indicates normal and appropriate conditions in the rumen. In addition, Vet [50] and Sari et al. [44] observed a significant reduction in digestibility and ammonia concentration due to a gastrointestinal shift at low pH. To improve the rate of digestion during encapsulation, a suitable matrix is suggested to be used based on the resistance of rumen microorganisms and degradability during the fermentation process. It is well known that rumen microorganisms are good and sophisticated in degrading a wide range of raw materials during the fermentation process. Therefore, resistant starch or any resistance material is recommended to be used as a suitable matrix for encapsulation in rumens. Probiotics are known to improve the fermentation process by increasing the digestion rates and ammonia concentration. By adding probiotics, we did not observe any significant differences in nutrient digestibility and ammonia concentration between the treatments before encapsulation and the treatment after adding unencapsulated probiotics to the diet. Similar results were obtained by Sheikh et al. [51]. This indicates the ability of probiotics to improve digestion and improve ammonia concentration in ruminants.

Despite the significant reduction in the molar portion of acetic acid and the significant decrease in the ratio of acetic to propionic acid, there was a significant increase in propionic acid after encapsulation. Also, we observed that by combining encapsulated probiotics with encapsulated nitrate, there was a significant decrease in enteric methane emission, thereby decreasing the concentration of acetic acid, decreasing the ratio of acetic to propionic acid, and increasing propionic acid. Similar results were observed in previous studies [9,35]. It is known that both nitrate and probiotics reduce enteric methane emissions [20,52,53]. Therefore, the reduction in methane concentration is attributed to the shallow release of probiotics and nitrate after encapsulation. This could positively affect the availability of both probiotics and nitrate to scavenge hydrogen, thereby reducing enteric methane concentration. Methane production is associated with acetic acid production due to the high production of hydrogen ion, which is used by methanogenic for the formation of methane during the process of methanogenesis [54]. The reduction in the concentration of the molar portion of acetic acid and an increase in the concentration of propionic inhibit methane formation due to a decrease of hydrogen molecules. The reduction in enteric methane emissions could also occur due to the reduction of the ratio of acetic to propionic acid. We observed in this study that there was a significant reduction in acetic acid and the ratio of acetic to propionic acid, and there was a significant increase in propionic acid after encapsulation. This indicates the effects of the encapsulation process on reducing enteric methane emissions. In addition, a significant decrease in methane concentration was observed by encapsulating nitrate in the long term [55].

5 Conclusion

Despite the limitation on digestibility, encapsulation is an effective method for enhancing the rumen fermentation process by increasing the total gas production and TVFAs. Nevertheless, encapsulation indicates effectiveness on enteric methane emission, thereby reducing the molar portion of acetic acid and the ratio of acetic to propionic acid and increasing the molar portion of propionic acid. Moreover, combining encapsulated probiotics with encapsulated nitrate forms is an effective method for improving the fermentation process in the rumen and reducing enteric methane emission by reducing the molar portion of acetic acid and the ratio of acetic to propionic acid and increasing the molar portion of propionic acid. Probiotics are effective in improving the fermentation process, thereby stabilizing and maintaining normal conditions in the rumen. Therefore, in vivo, long-term practices of combining probiotics with nitrate are recommended to improve the effectiveness of encapsulation on enteric methane emission.

Acknowledgment

The authors are grateful to Prof. Dr. Yantyati Widyastuti for providing the probiotic isolates used in this study.

  1. Funding information: This research was supported by RIIM-LPDP-BRIN (Nos B-803/II.7.5/FR/6/2022 and B-1373/III.5/PR.03.08/6/2022) of the Research Center for Applied Zoology-BRIN. The authors are also grateful to the Directorate General of Higher Education, Research and Technology, Ministry of Education, Culture, Research and Technology, Republic of Indonesia, for the financial support through the “Hibah Penelitian Fundamental” scheme, the year 2024 grant number 102/E5/PG.02.00.PL/2024.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and consented to its submission to the journal, reviewed all the results and approved the final version of the manuscript. RR, NN, and AJ designed the experiments, and MA and RF carried them out. MA and SN prepared the manuscript with contributions from all co-authors.

  3. Conflict of interest: Authors state is no conflict of interest.

  4. Data availability statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Received: 2023-12-20
Revised: 2024-09-17
Accepted: 2024-10-07
Published Online: 2024-12-02

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  26. Control of Meloidogyne javanica in banana by endophytic bacteria
  27. Comparison of important quality components of red-flesh kiwifruit (Actinidia chinensis) in different locations
  28. Efficiency of rice farming in flood-prone areas of East Java, Indonesia
  29. Comparative analysis of alpine agritourism in Trentino, Tyrol, and South Tyrol: Regional variations and prospects
  30. Detection of Fusarium spp. infection in potato (Solanum tuberosum L.) during postharvest storage through visible–near-infrared and shortwave–near-infrared reflectance spectroscopy
  31. Forage yield, seed, and forage qualitative traits evaluation by determining the optimal forage harvesting stage in dual-purpose cultivation in safflower varieties (Carthamus tinctorius L.)
  32. The influence of tourism on the development of urban space: Comparison in Hanoi, Danang, and Ho Chi Minh City
  33. Optimum intra-row spacing and clove size for the economical production of garlic (Allium sativum L.) in Northwestern Highlands of Ethiopia
  34. The role of organic rice farm income on farmer household welfare: Evidence from Yogyakarta, Indonesia
  35. Exploring innovative food in a developing country: Edible insects as a sustainable option
  36. Genotype by environment interaction and performance stability of common bean (Phaseolus vulgaris L.) cultivars grown in Dawuro zone, Southwestern Ethiopia
  37. Factors influencing green, environmentally-friendly consumer behaviour
  38. Factors affecting coffee farmers’ access to financial institutions: The case of Bandung Regency, Indonesia
  39. Morphological and yield trait-based evaluation and selection of chili (Capsicum annuum L.) genotypes suitable for both summer and winter seasons
  40. Sustainability analysis and decision-making strategy for swamp buffalo (Bubalus bubalis carabauesis) conservation in Jambi Province, Indonesia
  41. Understanding factors affecting rice purchasing decisions in Indonesia: Does rice brand matter?
  42. An implementation of an extended theory of planned behavior to investigate consumer behavior on hygiene sanitation-certified livestock food products
  43. Information technology adoption in Indonesia’s small-scale dairy farms
  44. Draft genome of a biological control agent against Bipolaris sorokiniana, the causal phytopathogen of spot blotch in wheat (Triticum turgidum L. subsp. durum): Bacillus inaquosorum TSO22
  45. Assessment of the recurrent mutagenesis efficacy of sesame crosses followed by isolation and evaluation of promising genetic resources for use in future breeding programs
  46. Fostering cocoa industry resilience: A collaborative approach to managing farm gate price fluctuations in West Sulawesi, Indonesia
  47. Field investigation of component failures for selected farm machinery used in small rice farming operations
  48. Near-infrared technology in agriculture: Rapid, simultaneous, and non-destructive determination of inner quality parameters on intact coffee beans
  49. The synergistic application of sucrose and various LED light exposures to enhance the in vitro growth of Stevia rebaudiana (Bertoni)
  50. Weather index-based agricultural insurance for flower farmers: Willingness to pay, sales, and profitability perspectives
  51. Meta-analysis of dietary Bacillus spp. on serum biochemical and antioxidant status and egg quality of laying hens
  52. Biochemical characterization of trypsin from Indonesian skipjack tuna (Katsuwonus pelamis) viscera
  53. Determination of C-factor for conventional cultivation and soil conservation technique used in hop gardens
  54. Empowering farmers: Unveiling the economic impacts of contract farming on red chilli farmers’ income in Magelang District, Indonesia
  55. Evaluating salt tolerance in fodder crops: A field experiment in the dry land
  56. Labor productivity of lowland rice (Oryza sativa L.) farmers in Central Java Province, Indonesia
  57. Cropping systems and production assessment in southern Myanmar: Informing strategic interventions
  58. The effect of biostimulants and red mud on the growth and yield of shallots in post-unlicensed gold mining soil
  59. Effects of dietary Adansonia digitata L. (baobab) seed meal on growth performance and carcass characteristics of broiler chickens: A systematic review and meta-analysis
  60. Analysis and structural characterization of the vid-pisco market
  61. Pseudomonas fluorescens SP007s enhances defense responses against the soybean bacterial pustule caused by Xanthomonas axonopodis pv. glycines
  62. A brief investigation on the prospective of co-composted biochar as a fertilizer for Zucchini plants cultivated in arid sandy soil
  63. Supply chain efficiency of red chilies in the production center of Sleman Indonesia based on performance measurement system
  64. Investment development path for developed economies: Is agriculture different?
  65. Power relations among actors in laying hen business in Indonesia: A MACTOR analysis
  66. High-throughput digital imaging and detection of morpho-physiological traits in tomato plants under drought
  67. Converting compression ignition engine to dual-fuel (diesel + CNG) engine and experimentally investigating its performance and emissions
  68. Structuration, risk management, and institutional dynamics in resolving palm oil conflicts
  69. Spacing strategies for enhancing drought resilience and yield in maize agriculture
  70. Composition and quality of winter annual agrestal and ruderal herbages of two different land-use types
  71. Investigating Spodoptera spp. diversity, percentage of attack, and control strategies in the West Java, Indonesia, corn cultivation
  72. Yield stability of biofertilizer treatments to soybean in the rainy season based on the GGE biplot
  73. Evaluating agricultural yield and economic implications of varied irrigation depths on maize yield in semi-arid environments, at Birfarm, Upper Blue Nile, Ethiopia
  74. Chemometrics for mapping the spatial nitrate distribution on the leaf lamina of fenugreek grown under varying nitrogenous fertilizer doses
  75. Pomegranate peel ethanolic extract: A promising natural antioxidant, antimicrobial agent, and novel approach to mitigate rancidity in used edible oils
  76. Transformative learning and engagement with organic farming: Lessons learned from Indonesia
  77. Tourism in rural areas as a broader concept: Some insights from the Portuguese reality
  78. Assessment enhancing drought tolerance in henna (Lawsonia inermis L.) ecotypes through sodium nitroprusside foliar application
  79. Edible insects: A survey about perceptions regarding possible beneficial health effects and safety concerns among adult citizens from Portugal and Romania
  80. Phenological stages analysis in peach trees using electronic nose
  81. Harvest date and salicylic acid impact on peanut (Arachis hypogaea L.) properties under different humidity conditions
  82. Hibiscus sabdariffa L. petal biomass: A green source of nanoparticles of multifarious potential
  83. Use of different vegetation indices for the evaluation of the kinetics of the cherry tomato (Solanum lycopersicum var. cerasiforme) growth based on multispectral images by UAV
  84. First evidence of microplastic pollution in mangrove sediments and its ingestion by coral reef fish: Case study in Biawak Island, Indonesia
  85. Physical and textural properties and sensory acceptability of wheat bread partially incorporated with unripe non-commercial banana cultivars
  86. Cereibacter sphaeroides ST16 and ST26 were used to solubilize insoluble P forms to improve P uptake, growth, and yield of rice in acidic and extreme saline soil
  87. Avocado peel by-product in cattle diets and supplementation with oregano oil and effects on production, carcass, and meat quality
  88. Optimizing inorganic blended fertilizer application for the maximum grain yield and profitability of bread wheat and food barley in Dawuro Zone, Southwest Ethiopia
  89. The acceptance of social media as a channel of communication and livestock information for sheep farmers
  90. Adaptation of rice farmers to aging in Thailand
  91. Combined use of improved maize hybrids and nitrogen application increases grain yield of maize, under natural Striga hermonthica infestation
  92. From aquatic to terrestrial: An examination of plant diversity and ecological shifts
  93. Statistical modelling of a tractor tractive performance during ploughing operation on a tropical Alfisol
  94. Participation in artisanal diamond mining and food security: A case study of Kasai Oriental in DR Congo
  95. Assessment and multi-scenario simulation of ecosystem service values in Southwest China’s mountainous and hilly region
  96. Analysis of agricultural emissions and economic growth in Europe in search of ecological balance
  97. Bacillus thuringiensis strains with high insecticidal activity against insect larvae of the orders Coleoptera and Lepidoptera
  98. Technical efficiency of sugarcane farming in East Java, Indonesia: A bootstrap data envelopment analysis
  99. Comparison between mycobiota diversity and fungi and mycotoxin contamination of maize and wheat
  100. Evaluation of cultivation technology package and corn variety based on agronomy characters and leaf green indices
  101. Exploring the association between the consumption of beverages, fast foods, sweets, fats, and oils and the risk of gastric and pancreatic cancers: Findings from case–control study
  102. Phytochemical composition and insecticidal activity of Acokanthera oblongifolia (Hochst.) Benth & Hook.f. ex B.D.Jacks. extract on life span and biological aspects of Spodoptera littoralis (Biosd.)
  103. Land use management solutions in response to climate change: Case study in the central coastal areas of Vietnam
  104. Evaluation of coffee pulp as a feed ingredient for ruminants: A meta-analysis
  105. Interannual variations of normalized difference vegetation index and potential evapotranspiration and their relationship in the Baghdad area
  106. Harnessing synthetic microbial communities with nitrogen-fixing activity to promote rice growth
  107. Agronomic and economic benefits of rice–sweetpotato rotation in lowland rice cropping systems in Uganda
  108. Response of potato tuber as an effect of the N-fertilizer and paclobutrazol application in medium altitude
  109. Bridging the gap: The role of geographic proximity in enhancing seed sustainability in Bandung District
  110. Evaluation of Abrams curve in agricultural sector using the NARDL approach
  111. Challenges and opportunities for young farmers in the implementation of the Rural Development Program 2014–2020 of the Republic of Croatia
  112. Yield stability of ten common bean (Phaseolus vulgaris L.) genotypes at different sowing dates in Lubumbashi, South-East of DR Congo
  113. Effects of encapsulation and combining probiotics with different nitrate forms on methane emission and in vitro rumen fermentation characteristics
  114. Phytochemical analysis of Bienertia sinuspersici extract and its antioxidant and antimicrobial activities
  115. Evaluation of relative drought tolerance of grapevines by leaf fluorescence parameters
  116. Yield assessment of new streak-resistant topcross maize hybrids in Benin
  117. Improvement of cocoa powder properties through ultrasonic- and microwave-assisted alkalization
  118. Potential of ecoenzymes made from nutmeg (Myristica fragrans) leaf and pulp waste as bioinsecticides for Periplaneta americana
  119. Analysis of farm performance to realize the sustainability of organic cabbage vegetable farming in Getasan Semarang, Indonesia
  120. Revealing the influences of organic amendment-derived dissolved organic matter on growth and nutrient accumulation in lettuce seedlings (Lactuca sativa L.)
  121. Identification of viruses infecting sweetpotato (Ipomoea batatas Lam.) in Benin
  122. Assessing the soil physical and chemical properties of long-term pomelo orchard based on tree growth
  123. Investigating access and use of digital tools for agriculture among rural farmers: A case study of Nkomazi Municipality, South Africa
  124. Does sex influence the impact of dietary vitD3 and UVB light on performance parameters and welfare indicators of broilers?
  125. Design of intelligent sprayer control for an autonomous farming drone using a multiclass support vector machine
  126. Deciphering salt-responsive NB-ARC genes in rice transcriptomic data: A bioinformatics approach with gene expression validation
  127. Review Articles
  128. Impact of nematode infestation in livestock production and the role of natural feed additives – A review
  129. Role of dietary fats in reproductive, health, and nutritional benefits in farm animals: A review
  130. Climate change and adaptive strategies on viticulture (Vitis spp.)
  131. The false tiger of almond, Monosteira unicostata (Hemiptera: Tingidae): Biology, ecology, and control methods
  132. A systematic review on potential analogy of phytobiomass and soil carbon evaluation methods: Ethiopia insights
  133. A review of storage temperature and relative humidity effects on shelf life and quality of mango (Mangifera indica L.) fruit and implications for nutrition insecurity in Ethiopia
  134. Green extraction of nutmeg (Myristica fragrans) phytochemicals: Prospective strategies and roadblocks
  135. Potential influence of nitrogen fertilizer rates on yield and yield components of carrot (Dacus carota L.) in Ethiopia: Systematic review
  136. Corn silk: A promising source of antimicrobial compounds for health and wellness
  137. State and contours of research on roselle (Hibiscus sabdariffa L.) in Africa
  138. The potential of phosphorus-solubilizing purple nonsulfur bacteria in agriculture: Present and future perspectives
  139. Minor millets: Processing techniques and their nutritional and health benefits
  140. Meta-analysis of reproductive performance of improved dairy cattle under Ethiopian environmental conditions
  141. Review on enhancing the efficiency of fertilizer utilization: Strategies for optimal nutrient management
  142. The nutritional, phytochemical composition, and utilisation of different parts of maize: A comparative analysis
  143. Motivations for farmers’ participation in agri-environmental scheme in the EU, literature review
  144. Evolution of climate-smart agriculture research: A science mapping exploration and network analysis
  145. Short Communications
  146. Music enrichment improves the behavior and leukocyte profile of dairy cattle
  147. Effect of pruning height and organic fertilization on the morphological and productive characteristics of Moringa oleifera Lam. in the Peruvian dry tropics
  148. Corrigendum
  149. Corrigendum to “Bioinformatics investigation of the effect of volatile and non-volatile compounds of rhizobacteria in inhibiting late embryogenesis abundant protein that induces drought tolerance”
  150. Corrigendum to “Composition and quality of winter annual agrestal and ruderal herbages of two different land-use types”
  151. Special issue: Smart Agriculture System for Sustainable Development: Methods and Practices
  152. Construction of a sustainable model to predict the moisture content of porang powder (Amorphophallus oncophyllus) based on pointed-scan visible near-infrared spectroscopy
  153. FruitVision: A deep learning based automatic fruit grading system
  154. Energy harvesting and ANFIS modeling of a PVDF/GO-ZNO piezoelectric nanogenerator on a UAV
  155. Effects of stress hormones on digestibility and performance in cattle: A review
  156. Special Issue of The 4th International Conference on Food Science and Engineering (ICFSE) 2022 - Part II
  157. Assessment of omega-3 and omega-6 fatty acid profiles and ratio of omega-6/omega-3 of white eggs produced by laying hens fed diets enriched with omega-3 rich vegetable oil
  158. Special Issue on FCEM - International Web Conference on Food Choice & Eating Motivation - Part II
  159. Special Issue on FCEM – International Web Conference on Food Choice & Eating Motivation: Message from the editor
  160. Fruit and vegetable consumption: Study involving Portuguese and French consumers
  161. Knowledge about consumption of milk: Study involving consumers from two European Countries – France and Portugal
Heruntergeladen am 9.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/opag-2022-0377/html?lang=de
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