ABSTRACT
Background and Aim: Enteric methane emissions from ruminants contribute substantially to greenhouse gas accumulation and energy loss in livestock systems. In maritime regions such as Indonesia, macroalgae and seagrass represent abundant but underutilized bioresources with potential antimethanogenic properties. This study evaluated the effectiveness of
Materials and Methods: A completely randomized factorial design was employed using three marine plant species and four inclusion levels (0%, 5%, 10%, and 15%) with six replicates. Parameters assessed included dry matter degradation (DMD), organic matter degradation (OMD), pH, ammonia nitrogen (NH3), volatile fatty acids (VFA), gas production, methane (CH4), and microbial protein synthesis. Proximate, Van Soest, and phytochemical analyses were performed to determine nutritional composition and bioactive compounds. Data were analyzed using analysis of variance followed by Duncan’s multiple range test.
Results: All three species exhibited favorable nutritional profiles and contained bioactive compounds, including tannins, flavonoids, and saponins. Supplementation at 10% significantly enhanced DMD, OMD, NH3, VFA, gas production, and microbial protein synthesis (p < 0.05), with
Conclusion: Supplementation with
Keywords: enteric methane mitigation,
INTRODUCTION
A projected increase in the cattle and buffalo population in North Sumatra Province, Indonesia, to 11,123,942 heads by 2050 would substantially increase methane emissions from the livestock sector [1]. This population is estimated to produce 111,239,420 kg of manure, equivalent to 80,092,382,400 L of methane (CH4). Such a large volume of CH4 would contribute markedly to climate change if no effective mitigation measures are implemented. One promising approach is the use of feed additives containing methane inhibitors [2–4]. The development of such mitigation strategies is also in line with Indonesia’s commitment to reducing greenhouse gas emissions under international climate agreements [5, 6].
Indonesia has strong potential to utilize methane inhibitors derived from seaweed and seagrass because of its extensive marine biodiversity. Its waters contain 325 identified macroalgal species, comprising 103 Chlorophyceae (green algae), 167 Rhodophyceae (red algae), and 55 Phaeophyceae (brown algae), while 14 of the 60 seagrass species reported worldwide are also found in Indonesia [7, 8]. Despite this richness, seaweed is still often regarded as coastal waste that disturbs beach aesthetics and requires costly removal. Large accumulations of fresh
Among marine plants, brown seaweeds such as
Seaweed also contains phytochemicals such as tannins and flavonoids, which can improve nitrogen utilization by decreasing protein degradation in the rumen and increasing protein bypass to the small intestine, thereby enhancing ruminant performance [16, 17]. In addition, the defaunating activity of tannins and saponins can reduce protozoal populations, increase microbial protein biomass, and enhance amino acid absorption in the gut [18, 19].
Despite growing evidence supporting the antimethanogenic potential of macroalgae, several critical gaps remain in the application of marine biomass as functional feed additives for ruminants. Most previous studies have primarily focused on a limited number of seaweed species under controlled experimental conditions, with less attention given to locally abundant and underutilized marine resources such as
Furthermore, the role of phytochemical compounds, including tannins, flavonoids, and saponins, in modulating rumen microbial ecology and fermentation efficiency has not been comprehensively integrated with nutritional evaluations. Many studies have emphasized methane mitigation alone, without simultaneously assessing key productivity-related parameters such as dry matter degradation (DMD), organic matter degradation (OMD), VFA, and ammonia nitrogen (NH3). Another important limitation is the lack of region-specific projections that link
The present study aimed to evaluate the potential of
This study also aimed to identify the optimal inclusion level that balances methane mitigation with improved fermentation efficiency and nutrient utilization. Furthermore, the findings were extended to estimate the potential reduction of methane emissions from cattle and buffalo populations in North Sumatra Province under future production scenarios. By integrating nutritional, microbiological, and environmental perspectives, this study seeks to provide a scientific basis for the utilization of locally available marine biomass as sustainable feed additives in ruminant production systems.
MATERIALS AND METHODS
Ethical approval
This study did not involve any live experimental animals. All procedures were conducted using rumen fluid obtained from healthy buffalo at a local slaughterhouse (official municipal abattoir) immediately after routine slaughter. The animals were not slaughtered for research purposes, and no additional handling, restraint, or invasive procedures were performed beyond normal abattoir operations. The use of rumen fluid as a by-product of slaughter is exempt from ethical review under the guidelines of the Animal Ethics Committee of Universitas Sumatera Utara and conforms to the Indonesian Ministry of Agriculture Regulation No. 14/2019 on the Welfare of Livestock and Animal Handling During Slaughter.
Study period and location
This research was conducted between May and October 2024. Samples were taken from Pane Island and analysis was conducted at the Animal Science Study Program, Faculty of Agriculture, Universitas Sumatera Utara, Medan, Indonesia.
Research materials
Seaweed/seagrass were collected from a location with coordinates 1°56’22.78”N and 98°29’54.07”E at Pane Island (Figure 1). The collection was conducted during low tide in the dry season (May-August 2024). Along the coast of Pane Island, marine plants were found stranded on the beach and became waste. However, sampling was conducted in waters with a depth of about 1 m by hand. Seaweeds were found attached to corals, whereas seagrass grew in parts of the water where there were not many corals. Identification of seaweed/seagrass was conducted based on a morphological study by referring to the book “FAO Species Identification Guide for Fishery Purposes: The Living Marine Resources of the Western Central Pacific” [20]. The most common macroalgae at Pane Island were
Figure 1. Location of sampling sites. 1. Mainland island, namely Sumatera Island. 2. Shallow land can be traveled at low tide, 10 am to 1 pm. 3. Sampling location, coordinates 1°56’22.78”N and 98°29’54.07”E. 4. Indian Ocean. 5.
This study focused on two types of brown algae and one seagrass, considering that one of the requirements for an ingredient to be used as animal feed is its availability and nutritional value. Meanwhile, red algae are also present; however, Roskam
The seaweed samples were sorted and washed with fresh water to remove embedded dirt, kept in a cool box, and brought to the Nutrition Laboratory, Animal Science Study Program, Faculty of Agriculture, Universitas Sumatera Utara. The samples were then washed again in running water for 5 h to remove salt. Previous research [22] conducted soaking for 3 h in running water. However, in this study, soaking for 5 h gave better results in removing the inherent salt. Furthermore, the samples were oven-dried at 40°C until completely dry, then pulverized in a grinder to a 30-mesh size. The pulverized seaweed and seagrass, together with other ingredients, were formulated into a ration formula for cattle/buffalo. The other ingredients were palm kernel meal, soybean groats, rice bran, fermented corn straw, cassava, coffee grounds, and salt.
Research methods
This study used a Complete Random Factorial Design with two types of seaweed and one type of seagrass, with four levels of use and six repetitions. The composition of the study treatments is shown in Table 1.
Table 1. Composition of the study treatments.
| Ingredients | 0 | 5 | 10 | 15 |
|---|---|---|---|---|
|
| ScL0 | ScL5 | ScL10 | ScL15 |
|
| ScrL0 | ScrL5 | ScrL10 | ScrL15 |
|
| EaL0 | EaL5 | EaL10 | EaL15 |
Sc =
Phytochemical analysis
Phytochemical analysis was conducted at the Phytochemical Laboratory, Faculty of Pharmacy, Universitas Sumatera Utara. Macroalgae contain many polyphenolic secondary metabolites, including tannins. Tannins derived from seaweed are called phlorotannins [23]. In this study, phytochemical analysis focused on metabolites correlated with reduced methane formation in the rumen, namely tannins/phlorotannins, flavonoids, and saponins.
Analysis of total tannin content in
% tannins was calculated using the formula: % tannin = (A × B × C)/D × 100%
Where, A: Concentration from the curve (mg/L), B: Dilution factor, C: Sample volume (L), D: Sample mass (mg)
Analysis of total flavonoid content in
% flavonoid was calculated using the formula: % flavonoid = (KTF (mg/g))/1,000 × 100%
KTF = Total flavonoid content (mg QE/g extract).
Analysis of total saponin content in
1.25 g of the extract was refluxed with 50 mL of petroleum ether at 60°C–80°C for 30 min. After cooling, the petroleum ether solution was discarded, and 50 mL of ethyl acetate was added to the residue.
The solution was then extracted by transferring it to a separating funnel and separating the ethyl acetate solution. The residue was dissolved in 50 mL of
The precipitate formed was poured onto filter paper of known weight, dried, and weighed to a final weight. The saponin content was calculated from the difference in weight of the filter paper before and after filtration.
% saponin was calculated using the formula: % saponin = (X2 - X1)/A × 100%
Where, X1: Filter paper weight (g), X2: Weight of filter paper + saponin sediment (g), A: Weight of extract sample (g).
The results of phytochemical analysis in this study are presented in Table 2.
Table 2. Phytochemical compounds of macroalgae from Pane Island:
| Phytochemical analysis result |
|
|
|
|---|---|---|---|
| Tannins | 0.82 | 0.70 | 1.1 |
| Flavonoids | 0.32 | 0.30 | 0.13 |
| Saponins | 0.95 | 0.91 | 2.1 |
In vitro analysis
The
Dry matter and organic matter digestion coefficient analysis
The laboratory research method used for
DMD = (DMi - (DMr - DMb))/DMi × 100%
Where, DMD: Dry matter digestibility, DMi: Dry matter initial, DMr: Dry matter residue, DMb: Dry matter blank.
To obtain the digestibility value of organic feed material, the dry material residue is burned in a crucible in a furnace at 500°C–600°C for 2–3 h, or until the color is grayish white. The resulting ash is then weighed; the difference between the dry material and the ash is the organic material. Then, the sample is weighed to determine the weight of the sample residue (organic material) and the weight of the blank residue (organic material). The digestibility of the sample organic material is calculated using the formula:
OMD = (OMi - (OMr - OMb))/OMi × 100%
Where, OMD: Organic matter digestibility, OMi: Organic matter initial, OMr: Organic matter residue, OMb: Organic matter blank
Total NH3 level analysis
Total NH3 levels were analyzed using the Conway microdiffusion method. The Conway cup (Iwaki glass, Gede Bage, Jawa Barat, Indonesia) was first smeared with vaseline on the lips. A total of 1 mL of supernatant was placed on one side of the cup partition, and 1 mL of saturated Na2CO3 solution was placed on the other side. The cup was tilted toward the partition so that the two solutions did not mix. In the center of the cup, 1 mL of boric acid was placed. The Conway cup, with its lip smeared with vaseline, was then tightly closed to make it airtight. The saturated Na2CO3 solution was mixed with the supernatant by shaking and tilting the cup. The cup was then left at room temperature (28°C) for 24 h. After that, the cup lid was opened, and the boric acid was titrated with 0.005 N H2SO4 until the color changed from blue to reddish. The NH3 level was calculated using the formula:
N-NH3 (mM) = mL titration H2SO4 × N H2SO4 × 1,000
Where, N-NH3 = Concentration of N-ammonia (mM), N H2SO4 = Normality of H2SO4 solution
Total VFA analysis
The total concentration of VFA was determined using the “steam distillation” method (General Laboratory Procedure, 1996). A total of 5 mL of supernatant was collected and placed in a distillation tube. Then, 1 mL of 15% H2SO4 was added, and the tube was immediately closed with its lid to ensure airtightness and connected to a cooling flask (Liebig, Fisher Scientific, Waltham, Massachusetts, USA). Immediately after adding 15% H2SO4 to the supernatant, the tube was inserted into a distillation flask containing boiling water (heated during distillation). The hot water vapor that displaces the VFA condenses in the cooler. The water formed was collected in an Erlenmeyer flask containing 5 mL of 0.5 N NaOH solution until it reached about 250 mL. Two drops of phenolphthalein (PP) indicator were added to the collected distillate, and the distillate was titrated with 0.5 N HCl until the color changed from pink to colorless.
The procedure can be seen in the following formula:
Total VFA = (b – s) × N HCl × 1,000/5 mM
Where, s = Volume of sample titrant, b = Volume of blank titrant, N = Normality of HCl solution
CH4 reduction analysis
To obtain CH4 reduction, total gas and methane (CH4) production must be measured using a simpler modified technique of Fieves
The Tilley and Terry method was conducted as follows: 0.75 g of complete feed from each treatment was placed in a 100 mL infusion bottle, and then 25 mL of rumen fluid and 50 mL of McDougall’s solution were added. The bottle was sealed to make it airtight and conditioned to resemble the atmosphere in cattle’s rumen. Gas production was measured at 2, 4, 6, 8, 10, 12, and 24 h.
The volume of produced gas was converted to a per-gram ratio of 1 g of digested organic matter. Methane was separated from other gases by passing it through a 10 M NaOH solution, which absorbs CO2 and other acid gases. The remaining methane gas was recorded as mL/g digested organic matter.
Methane gas production for each treatment, including the control, was obtained. To obtain the methane reduction rate, methane production for each treatment was subtracted from that of the control. To obtain the percentage, the reduction result is multiplied by 100%.
Statistical analysis
The data obtained from the study were statistically processed using variance analysis. All collected data were processed and analyzed for variability using two-way analysis of variance with SPSS software version 25.0, followed by Duncan’s multiple range test [29].
RESULTS AND DISCUSSION
Nutrient content of S. cristaefolium, S. crassifolium , and E. acoroides
The nutrient content of all three algae was favorable, with crude protein levels ranging from 7.12% to 9.36% (Table 3). For use as animal feed, this protein content is comparable to that of cultivated grasses such as
Table 3. Nutrient content of
| Nutrients (% of Dry matter basis) | Seaweed | Seagrass | |
|---|---|---|---|
|
| |||
|
|
|
| |
| Dry matter | 81.34 | 80.56 | 82.21 |
| Crude protein | 8.52 | 7.12 | 9.36 |
| Neutral detergent fiber | 18.15 | 15.35 | 19.12 |
| Acid detergent fiber | 23.23 | 20.12 | 24.34 |
| Ether extract | 1.90 | 1.85 | 2.10 |
| Ash | 30.23 | 29.41 | 31.52 |
Phytochemical content of S. cristaefolium, S. crassifolium , and E. acoroides
Algae contain phytochemical compounds that are beneficial as antioxidants, enzyme stimulants, anti-inflammatory agents, and bacterial growth inhibitors (Table 4). Therefore, these plants should be utilized as widely as possible for consumption, including as livestock feed. Algae have not been utilized by residents on the west coast of Sumatera Utara Province for human consumption, let alone for livestock feed. Pane Island is located on the west coast of Sumatera Utara Province, in Central Tapanuli Regency, which has the largest buffalo population in Sumatera Utara Province.
Table 4. Feedstuff composition and chemical components of each complete feed containing different levels of macroalgae.
| Percentage | Control |
|
|
| ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Macroalgae | 0 | 5 | 10 | 15 | 5 | 10 | 15 | 5 | 10 | 15 |
| Palm kernel meal | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 22 | 20 | 20 |
| Soybean groats | 10 | 9.5 | 10 | 9 | 10 | 10 | 9 | 10 | 8 | 8 |
| Rice bran | 13 | 12 | 11 | 9 | 9 | 7 | 6 | 8 | 9 | 7 |
| Corn ash | 8 | 7 | 7 | 7 | 9 | 9 | 7 | 8 | 9 | 9 |
| Fermented corn straw | 35 | 33 | 31 | 29 | 33 | 30 | 29 | 35 | 33 | 30 |
| Coffee grounds | 11 | 10.5 | 8 | 8 | 11 | 11 | 11 | 11 | 10 | 10 |
| Mineral | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Total | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| Nutrient (%) | ||||||||||
| CP | 12.02 | 12.04 | 12.07 | 12.48 | 12.02 | 12.03 | 12.27 | 12.14 | 12.45 | 12.60 |
| CF | 23.24 | 23.30 | 23.41 | 23.51 | 23.16 | 23.28 | 24.93 | 25.32 | 25.60 | 25.71 |
| EE | 4.62 | 4.53 | 4.21 | 4.21 | 4.42 | 4.45 | 4.35 | 4.62 | 4.48 | 4.43 |
| NFE | 47.32 | 47.30 | 47.35 | 47.18 | 47.14 | 45.31 | 47.41 | 47.31 | 47.42 | 47.80 |
| TDN | 64.0 | 62.9 | 62.8 | 62.42 | 62.42 | 62.03 | 63.02 | 60.91 | 60.75 | 60.71 |
DM = dry matter, OM = organic matter, CP = crude protein, CF = crude fiber, EE = ether extract, NFE = nitrogen-free extract, TDN = total digestible nutrients
Flavonoids were detected in this study. Flavonoids have previously been reported in
Tannins were detected in
Saponins were found in
The presence of phytochemicals in these three algae indicates that they have the potential to be used as animal feed additives. The phytochemical content of seaweed is closely associated with its health benefits [37]. Communities living on the southern coast of Aceh consume
Brown algae, including
DMD
The increase in DMD was mainly associated with increasing algae concentration. In this study, 10% algae tended to yield higher DMD, and
Table 5. Table of F value and p-value.
| Parameters | Treatment 1 ( | Treatment 2 (Level 0%, 5%, 10%, and 15%) | Interaction between Treatment 1 and Treatment 2 | |||
|---|---|---|---|---|---|---|
|
| ||||||
| F value | p-value | F value | p-value | F value | p-value | |
| Dry matter digestibility | 47.871 | 0.000 | 129.231 | 0.000 | 6.095 | 0.000 |
| Organic matter digestibility | 46.913 | 0.000 | 109.538 | 0.000 | 6.901 | 0.000 |
| pH | 1.841 | 0.168 | 1.681 | 0.181 | 0.498 | 0.807 |
| NH₃ (mM) | 10.069 | 0.000 | 28.015 | 0.000 | 1.378 | 0.238 |
| VFA (mM) | 1181.151 | 0.000 | 1922.958 | 0.000 | 171.960 | 0.000 |
| Acetic acid (mM) | 33.971 | 0.000 | 334.353 | 0.000 | 9.182 | 0.000 |
| Propionic acid (mM) | 1.287 | 0.284 | 290.104 | 0.000 | 0.287 | 0.941 |
| Gas production (mL) | 492.109 | 0.000 | 379.115 | 0.000 | 69.402 | 0.000 |
| CH₄ (ppm) | 65992783.67 | 0.000 | 1062198376 | 0.000 | 10076715.10 | 0.000 |
| CH₄ % reduction compared with control | 1252.032 | 0.000 | 20144.063 | 0.000 | 191.078 | 0.000 |
| Microbial protein synthesis (mg/100 mL) | 1231.554 | 0.000 | 13638.733 | 0.000 | 229.837 | 0.000 |
| Bacteria (10⁹) | 30.663 | 0.000 | 415.332 | 0.000 | 4.233 | 0.001 |
| Protozoa (10⁵) | 70.892 | 0.000 | 315.237 | 0.000 | 16.548 | 0.000 |
OMD
The addition of
This study showed an increase in OMD with 10% supplementation in the ration. There was an interaction between the type of algae and the inclusion level.
pH of rumen fluid
The pH of rumen fluid varied with the type of seaweed or seagrass and its concentration. There was no significant effect on pH, with values ranging from 6.60 to 7.01 (Table 6). A rumen pH range of approximately 6.9 to 7.3 is categorized as normal because it can support rumen microbial growth [46, 47]. Rumen pH is influenced by feed type. In this study, rumen pH may have been influenced by one of the feed ingredients, namely fermented corn waste, which had a pH of 5.15 [48]. The pH values in this study were slightly lower than those reported in another study, which ranged from 6.67 to 7.44 using elephant grass as the forage source [49].
Table 6. The effect of
| Parameters | C |
|
|
| ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Macroalgae | 0 | 5 | 10 | 15 | 5 | 10 | 15 | 5 | 10 | 15 |
| Dry matter digestibility | 51.31b ± 1.139 | 55.12de ± 1.419 | 57.59f ± 1.298 | 50.12b ± 0.612 | 54.76d ± 0.893 | 56.11e ± 0.938 | 50.09b ± 0.721 | 51.13b ± 1.052 | 53.33c ± 1.163 | 47.21a ± 0.901 |
| Organic matter digestibility | 64.12c ± 1.088 | 65.38cd ± 0.941 | 67.41d ± 0.962 | 60.21b ± 0.741 | 64.23c ± 1.466 | 66.76d ± 1.505 | 60.56b ± 1.762 | 60.71b ± 1.26 | 63.89c ± 1.298 | 55.43a ± 0.679 |
| pH | 6.81 ± 0.1 | 6.71 ± 0.179 | 6.60 ± 0.258 | 6.71 ± 0.171 | 6.76 ± 0.192 | 6.70 ± 0.141 | 6.73 ± 0.166 | 6.82 ± 0.138 | 6.79 ± 0.084 | 6.75 ± 0.1501 |
| NH₃ (mM) | 11.10 ± 0.211 | 12.31 ± 1.232 | 13.65 ± 0.754 | 12.91 ± 0.606 | 12.21 ± 0.526 | 13.41 ± 0.692 | 12.64 ± 0.828 | 11.24 ± 0.677 | 12.23 ± 0.815 | 12.06 ± 0.708 |
| VFA (mM) | 75.11ᶦ ± 0.713 | 70.31g ± 0.771 | 72.65h± 0.388 | 66.21f ± 0.687 | 66.23f ± 1.012 | 60.51d ± 0.473 | 56.64b ± 0.558 | 61.34e ± 0.742 | 58.71c ± 0.497 | 52.46a ± 0.552 |
| Acetic acid (mM) | 30.26a ± 0.689 | 34.53c ± 0.718 | 39.12e ± 0.664 | 33.74c ± 0.708 | 31.47b ± 0.775 | 37.90d ± 1.025 | 33.98c ± 0.696 | 30.96ab ± 0.884 | 37.44d ± 0.894 | 31.60b ± 0.808 |
| Propionic acid (mM) | 25.42 ± 1.326 | 16.41 ± 1.199 | 18.37 ± 0.789 | 16.58 ± 0.546 | 15.82 ± 0.983 | 17.97 ± 1.407 | 16.66 ± 1.046 | 15.65 ± 0.769 | 17.81 ± 1.157 | 15.87 ± 0.925 |
| Gas production (mL) | 107.21f ± 0.38 | 109.11h± 0.477 | 111.25ᶦ ± 0.733 | 103.78d ± 0.502 | 106.12e ± 1.138 | 108.15h± 0.446 | 102.31c ± 0.382 | 101.22b ± 0.751 | 103.15d ± 0.337 | 99.52a ± 0.246 |
| CH₄ (ppm) | 21,982.78j ± 0.766 | 17,380.21g ± 0.744 | 13,219.45d ± 0.799 | 5,085.71a ± 0.402 | 17,985.47h± 0.7496 | 15,542.21e ± 0.7494 | 7,638.20b ± 1.042 | 19,825.21ᶦ ± 1.159 | 16,723.21f ± 0.732 | 9,789.53c ± 0.734 |
| CH₄ % reduction compared with control | - | 20.94d ± 1.278 | 39.86g ± 0.858 | 76.87j ± 0.999 | 18.18c ± 0.656 | 29.30f ± 1.086 | 65.25ᶦ ± 1.143 | 9.81b ± 0.743 | 23.92e ± 0.826 | 55.47h± 0.963 |
| Microbial protein synthesis (mg/100 mL) | 252.54ᶦ ± 0.769 | 218.03f ± 0.615 | 229.52h± 0.411 | 217.25f ± 0.457 | 208.72b ± 0.421 | 219.21g ± 0.811 | 212.16e ± 0.966 | 204.45a ± 0.937 | 209.57c ± 0.656 | 210.67d ± 0.609 |
| Bacteria (10⁹) | 99f ± 2.606 | 63.2de ± 3.688 | 67.6e ± 6.449 | 66.5e ± 4 | 54.2ab ± 2.607 | 57.1bc ± 2.828 | 51.5a ± 1.414 | 60.5cd ± 7.071 | 67.1e ± 5.441 | 61.3cd ± 1.41 |
| Protozoa (10⁵) | 86f ± 1.414 | 75.2e ± 3.506 | 73.8f ± 4.243 | 66.5cd ± 3.847 | 61.2b ± 2.828 | 60.2b ± 2 | 59.1b ± 2.82 | 69.5d ± 2 | 65.2c ± 3.406 | 52.3a ± 1.42 |
A rumen pH within the normal range indicates that the substrate composition does not interfere with rumen microbial activity. The opposite condition may cause extreme pH fluctuations. For example, if pH becomes too low or too high, microbial activity and nutrient digestion are disrupted. If rumen pH falls below 6, proteolysis and deamination are disturbed. If rumen pH exceeds 7.3, ammonia absorption increases [50]. The normal pH recorded in this study for each treatment indicated that adding
NH3 production
In this study, NH3 production did not differ significantly among algae levels, and all values remained within the normal NH3 production range (Table 6). NH3 production was highest at the 10% algae level for
The effects of S. cristaefolium, S. crassifolium , and E. acoroides on VFA
In this study, VFA values at 10%
The effects of S. cristaefolium, S. crassifolium , and E. acoroides on gas production
High gas production indicates effective fermentation of organic matter, but excessive gas production can be detrimental because part of that gas is methane, which is environmentally harmful and reduces livestock energy efficiency [14]. In this study, treatments containing 10%
The effects of S. cristaefolium, S. crassifolium , and E. acoroides on CH4
During enteric fermentation, rumen microbes degrade feed into VFA, a process that also produces CO2 and H2. These gases then serve as substrates for CH4 formation by methanogenic archaea [56]. CH4 is harmful to the environment because it contributes to global warming. In addition, this energy could otherwise be used for growth or milk production. Around 2%-12% of energy is lost as gas; therefore, research on modifying conventional feed ingredients in ration formulas is needed to minimize enteric CH4 production [54].
Research has been conducted on brown algae such as
Research on
Many studies have investigated the modification of feed formula ingredients using various types of seaweed to manipulate enteric CH4 production. Brown seaweed can reduce CH4 because of its content of polyphenolic compounds such as phlorotannins [52-54, 57]. Phlorotannins can reduce methane formation [52, 53]. Saponins in algae can also reduce methane [58]. This is because saponins are toxic to protozoa. Saponins also affect the populations of some bacteria, including methanogenic archaea, by damaging their membrane lipids. Thus, saponins may improve the efficiency of ruminant fermentation by reducing methanogenesis.
Research on red, brown, and green seaweeds found that all red seaweed species tested, including
In the present study,
Although
Microbial protein synthesis
Seaweed percentage showed a significant difference (p < 0.05) in microbial protein synthesis among treatments, with microbial protein production during the 48-h incubation period ranging from 204.45 to 229.52 mg/100 mL. The 10%
Treatment with 2%
In this study, the bacterial population was higher than the protozoal population, with bacteria at 109 and protozoa at 105 (Table 5).
This study showed that almost all parameters exhibited interaction effects, as indicated by different superscript letters in the data. However, some parameters, such as pH and NH3, did not show interaction, and their data therefore did not carry such letter distinctions. Another indication of interaction is a p-value of less than 0.05, as seen in most values in Table 5, many of which were 0.000.
The business-as-usual projection of methane from enteric fermentation of cattle and buffalo in 2024 and the projection of methane by
In this study, two different scenarios were evaluated. These were the business-as-usual scenario for methane emissions in the baseline year, without any mitigation effort, and the estimated emission reductions if mitigation actions were implemented by providing feed additives of
Beef cattle and buffalo produce methane gas emissions using the following formula:
Methane gas production (kg) = Population × 15 × 48 × 0.66
Where 15 = Each cow in Indonesia produces 10 kg of feces, whereas each buffalo produces 20 kg of feces; the average of both is 15 kg. 48 = Each kg of feces produces 48 liters of methane gas [63] 0.66 = Conversion factor to kg of methane gas [64]
Secondary metabolites in brown algae, such as phlorotannin and saponins, have toxic effects on bacteria, protozoa, and methanogenic archaea. Because of commensal relationships, changes in bacterial and protozoal populations also affect methanogenic archaeal populations, consequently decreasing methane production. The findings of this study suggest that 10%
In Table 7 [1, 65], the 2050 projection with the addition of 10%
Table 7. Scenarios of methane production in 2024 and 2050 in North Sumatera Province.
| Scenario | Cattle and buffaloes population | Methane production (kg) |
|---|---|---|
| BAU 2024 | 833,004 heads [65] | 39,151,188 |
| 2050 Projection (Without | 11,123,942 heads [1] | 5,286,097,238 |
| 2050 Projection (With | 11,123,942 heads [1] | 3,645,821,265 |
CONCLUSION
This study demonstrated that the inclusion of
The findings highlight the potential of locally available marine biomass as sustainable feed additives. Inclusion levels of 10%–15% can enhance fermentation efficiency while reducing CH4 emissions. This dual benefit supports improved livestock productivity and environmental sustainability. In regions such as North Sumatra, where these algae are abundant yet underutilized, incorporating them into feeding strategies can reduce reliance on conventional feed resources and support climate-smart livestock production. Large-scale applications may significantly reduce CH4 emissions from cattle and buffalo systems.
This study integrates phytochemical profiling, nutritional evaluation, and
The results are based on
Future research should focus on
DATA AVAILABILITY
The data generated during the study are included in the manuscript.
AUTHORS’ CONTRIBUTIONS
NG: Supervision, experiment execution, manuscript drafting, and final manuscript revision. RH and RP: Manuscript drafting, data interpretation, and final manuscript revision. AN: Performed the laboratory analyses and drafted the manuscript. MAP and GAWS: Conducted the statistical analyses and revised the manuscript. All authors have read and approved the final manuscript.
COMPETING INTERESTS
The authors declare that they have no competing interests.
PUBLISHER’S NOTE
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ACKNOWLEDGMENTS
This study was funded by the Indonesian Collaborative Research (RKI), grant no. 32 /UN5.4.10/PPM/KP-RKI/2024, 6 April 2024, involving Universitas Sumatera Utara, Universitas Andalas, Universitas Padjadjaran, and Universitas Hasanuddin.
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