Livestock Research for Rural Development 22 (11) 2010 | Notes to Authors | LRRD Newsletter | Citation of this paper |
Methanogenesis from ruminants is one of the major cause of global warming and methanogenesis reduces the efficiency of nutrient utilization hence manipulation of rumen microbial ecosystem for reducing methane emission is very vital. Hence a study was designed, to evaluate the anti methanogenic activity of herbs / herbal extracts in ruminants. The herbs tested were Acacia concinna pods, Emblica officinalis seeds, Allium sativum bulbs, Zingiber officinale rhizomes, Ferula assafoetida resin, Psidium guajava leaves, Terminalia chebula seeds and Azadirachta indica seed kernels. In vitro gas production studies were carried out using Hohenheim in vitro gas production test to rank the herbs / herbal extracts / residues according to their capacity in lowering the per cent methane production.
Acacia concinna pods methanol extract ranked one (13.3 %) followed by Acacia concinna pods methanol residue (13.34 %), Allium sativum bulbs water residue (15 %), Zingiber officinale rhizomes water residue (15.02 %) and Psidium guajava leaves methanol residue (15.1 %). In a second in vitro trial the first five ranked treatments were studied at graded inclusion levels of 30, 40, 50, 60 and 70 mg per 500 mg substrate . Acacia concinna pods methanol extract, Acacia concinna pods methanol residue, Allium sativum bulbs water residue, Zingiber officinale rhizome water residue and Psidium guajava leaves methanol residue inclusion at 50, 30, 30, 50 and 50 mg respectively exhibited maximum inhibition of methanogenesis. These selected herbs in their selected levels were validated through an in vitro rumen fermentation experiment (RUSITEC) using complete feed having roughage concentrate ratio of 60: 40. All the selected herbal extracts / residues studied in this experiment significantly (P<0.05) lowered methane production. Maximum reduction was brought about by Acacia concinna pods methanol residue. The per cent in vitro dry matter degradability (IVDMD) remained unaltered.
This study therefore establishes the scope of use of plant extracts in ruminant rations to reduce methane production without adversely affecting IVDMD.
Keywords: Antimethanogenic activity, Hohenheim in vitro gas production test, IVDMD, plant extracts, rumen fermentation, RUSITEC
Methane emission from ruminants reduces the efficiency of nutrient utilization. Manipulation of rumen microbial ecosystem for reducing methane emission by ruminants to improve their performance is one of the most important goals for animal nutritionists. Reduction in methane emission from ruminants enhances the efficiency of nutrient utilization and augments productivity and also reduces methane impact on global warming. There are several methods to reduce methane emission from the rumen. These methods include processing of feeds, altering the type of ration, supplementation of unsaturated fatty acids (Johnson and Johnson 1995), defaunation (Van Nevel and Demeyer 1996), organic acids (Asanuma et al 1999), halogenated methane analogues (Haque 2001), ionophores (Kobayashi et al 1992), microbial feed additives (Mutsvangwa et al 1992), non ionic surfactants (Lee and Ha 2003), sulphates (Kamra et al 2004) and herbal products (Patra et al 2006). Herbal preparations have been used for centuries for various purposes because of their antimicrobial properties (Davidson and Naidu 2000) and because most of them are categorized under GRAS (Generally Recognized as Safe) for human consumption (FDA 2004).The use of herbal preparations appears as one of the most natural alternatives to the antibiotic use in animal nutrition. Plant secondary metabolites, have been shown to modulate ruminal fermentation to improve nutrient utilization in ruminants (Hristov et al 1999).These compounds possess antimicrobial activity that is highly specific, which raises their possibility to target methanogens.
Keeping these in view a study was designed, to identify the potent methane reducing herbs or herbal extracts and determine their optimum level of inclusion in dairy cattle ration to reduce the methane emission from the in vitro rumen conditions..
This study was carried out using eight different plant materials hereafter to be referred to as herbs. The herbs collected for testing were Acacia concinna pods(shikakai), Emblica officinalis seeds(amla), Allium sativum bulbs(garlic), Zingiber officinale rhizomes(ginger), Ferula assafoetida resin(assafoetida), Psidium guajava leaves(guava), Terminalia chebula(kadukka) seeds and Azadirachta indica (neem) seed kernels. Three samples of each of the herbs were collected, dried in a hot air oven at a temperature of 55-60˚C to constant weight and ground to pass through 1mm sieve. Water soluble (water extract), water insoluble (water residue), methanol soluble (methanol extract) and methanol insoluble (methanol residue) fractions of these herbs were prepared as per the procedure adopted by Patra et al (2006) Twenty grams of each herb was mixed with 100 ml of methanol (98%) / 100 ml water in conical flasks and were stoppered and incubated at 39˚C on a rotary shaker for 24 hours and filtered through Whatman 1 filter paper.
Filtrates (methanol/water extracts) and residues (methanol/ water residues) were collected separately in pre-weighed glass crucibles and dried in hot air oven at a temperature of 55˚C to constant weight. The dried methanol/water extracts and residues were weighed and stored in air tight containers for further use and tested for their potency to reduce methanogenesis. The quantity of extract / residue that was obtained was quantified and was expressed in terms of per centage yield of water/methanol extract for further calculation of the amount of water / methanol extract and water / methanol residue incubated in in vitro gas production studies. .
The potency of herbs / herbal extracts to reduce methanogenesis was tested by using Hohenheim in vitro gas production studies as per the procedure of Menke and Steingass (1988). Two experiments were carried out in this direction. Experiment I was primarily a screening test that aimed to identify the herb / extracts / residues having greater ability to reduce methanogenesis and experiment II was carried out to identify the minimum inclusion level of the selected herbs / extracts / residues that significantly reduced methanogenesis. Both the experiments were carried out in triplicate with dried Hybrid Napier (Pennisetum typhoides x Pennisetum purpureum) CO3 variety grass used as substrate. The total quantity of substrate taken for in vitro gas production study was 500 mg as described by Blummel and Becker (1997).
The quantity of testing materials included in the screening test was 50mg of herb or weight of extract / residue of water / methanol that would have been generated from 50 mg of respective herb.
The weight of water / methanol extract and residue was calculated as follows.
Weight of water/methanol extract incubated =
Weight of water/methanol residue incubated =
50 mg - Weight of water/methanol extract incubated
The trial included a blank, where only strained rumen liquor and media buffer solution (Menke and Steingass 1988) was taken and a control, where substrate, rumen liquor and media buffer solution was taken. All the 40 treatments viz. water / methanol extract, water / methanol residues of the herbs and herbs as such of all the herbs selected for the study with blank and control were subjected to gas production studies. Net gas volume was calculated by subtracting the recorded gas volume from blank as advocated by Menke and Steingass (1988). The total gas was partitioned as carbon dioxide and methane as per the procedure of Fievez et al (2005). Gas samples were drawn from the total gas produced. With the use of 10 M NaOH solution the methane and carbon dioxide from total gas was fractioned. Two ml of gas sample was drawn from the total gas produced with the help of syringe and needle. It was then injected through the hub fixed to the nozzle of another syringe containing 2 ml of 10 M NaOH solution. This displacement of 10 M NaOH indicates the volume of methane, as carbon dioxide is soluble in the solution (Fievez et al 2005). From the proportion of methane to carbon dioxide in total gas, the percentage of methane in the total gas was calculated. The percentage of methane in the total gas was calculated from the proportion of methane to carbon dioxide in total gas. In order to carry out a meaningful interpretation, ranking of the herbs / herbal extracts / residues was done based on their capacity in reducing per cent methane production from the total gas production.
Based on the results of experiment I that is on the capacity of reducing percent methane production from the total gas producton experiment II was carried out. Since the level of herb and extract / residue included in screening test was 50 mg or its equivalent extract / residue, the promising herbs / extracts / residues were included at five levels viz. 30, 40, 50, 60 and 70 mg per 500 mg substrate in experiment II and triplicate measurements were made. All the procedures followed were same as that described in experiment I.
Validation studies using RUSITEC
Based on the results of experiment II the identified levels of the selected five herbal extracts / residues were included in complete feed for medium yielding dairy cattle to study the rumen fermentation pattern using RUSITEC (Czerkawski and Breckenridge 1977). The complete feed had a crude protein of 14 per cent and TDN of 62 per cent.
The ingredient composition and nutritive value of the complete feed is given in Table 1.
Table 1. Ingredient composition and calculated nutritive value of complete feed used in RUSITEC |
|
Ingredients |
Inclusion level, % |
Hybrid napier grass (CO3) |
60 |
Maize grain |
36.5 |
Groundnut oil cake |
1 |
Urea |
1 |
Mineral mixture |
1 |
Salt |
0.5 |
Calculated Nutritive value |
% DMB |
Crude Protein |
14 |
Total Digestible Nutrients |
62 |
Altogether there were five complete feeds supplemented with respective herbal extracts / residues and one complete feed without any herbal extracts / residues which acted as control. The parameters measured were total gas, methane and carbon dioxide production, pH and in vitro dry matter degradability. Two RUSITEC each equipped with eight fermenters with a volume of 1000 ml for each fermenter was used. Two fermenters were allotted for each treatment and two were allotted for the control. Inoculum (rumen cud and liquor) was collected from three cows immediately on slaughter from the slaughter house. The pooled contents were transferred to a thermos cud transport container with flushing of carbon dioxide and brought to the laboratory.
Ruminal fluid was filtered through 4 layers of muslin cloth and stored in pre‑warmed thermos container at 39°C till its use. In vitro semi continuous culture in RUSITEC was initiated within half an hour from collection. To begin the experiment the fermenters were filled with 500 ml of strained rumen liquor and 200 ml of artificial saliva (Czerkawski and Breckenridge 1977). Eighty grams of solid digesta (solid inoculum) and 10 g of test feed (DM basis) were taken in nylon bags and placed in feed container. The pore size of nylon bag was 100 m as suggested by Carro et al (1995). The solid inoculum bag was replaced by a feed bag with complete feed after 24 hours. During the change of bags the fermenters were flushed with CO2 to maintain anaerobic condition. Artificial saliva was infused continuously into the fermenters at a flow rate of 500 ml/day. Five days of adaptation was followed by collection period. The feed was incubated for period of 24 hours in the fermenters of RUSITEC.
At the end of incubation period, the total gas produced in each fermenter was collected in gas bags and quantified by displacement of water. Gas samples drawn from the total gas produced was fractioned for methane and carbon dioxide (Fievez et al 2005). Gas samples were drawn from the total gas produced. With the use of 10 M NaOH solution the methane and carbon dioxide from total gas was fractioned. Two ml of gas sample was taken from the gas bag with the help of syringe and needle. It was then injected through the hub fixed to the nozzle of another syringe containing 2 ml of 10 M NaOH solution. This displacement of 10 M NaOH indicates the volume of methane, as carbon dioxide is soluble in the solution (Fievez et al 2005). From the proportion of methane to carbon dioxide in total gas, the percentage of methane in the total gas was calculated. From the proportion of methane to carbon dioxide in total gas, the percentage of methane in the total gas was calculated. Rumen fluid samples were collected with the help of a syringe that was inserted through a three-way tap in the fermenter and its pH was recorded immediately. At the end of incubation period the bags were removed, washed and oven dried at 60°C to constant weight to determine the in vitro dry matter degradability.
All the experiments adopted a completely randomized design (CRD).The percentage of in vitro methane production,in vitro dry matter degradability and pH data were statistically analysed using one way analysis of variance (One Way - ANOVA) to compare the means as per the procedure of statistical analysis system (SAS/ SPSS 1999 version 10.0 for windows). When significant difference (P<0.05) were detected the multiple range test was used to separate the mean value.
Among the 41 treatments including control, Acacia concinna pods methanol extract recorded the least per cent methane production (13.3 %) and ranked 1 followed by Acacia concinna pods methanol residue (13.34 %), Allium sativum bulbs water residue (15 %), ginger rhizomes water residue (15.0 %) and Psidium guajava leaves methanol residue (15.1 %) at the ranking of 2, 3, 4 and 5 respectively (Table 2).
Table 2. Rank of the herb / herbal extract / residue of water / methanol with regard to in vitro per cent Methane production (Mean ± SE) on their incubation (24 hour) at 50 mg or its equivalent with 450 mg or its equivalent of substrate** |
|||
S.No. |
Name of the herb / herbal extract / residue |
Percent methane production |
Rank |
1. |
Acacia concinna pods methanol extract |
13.3 ± 1.33 |
1 |
2. |
Acacia concinna pods methanol residue |
13.3 ± 1.34 |
2 |
3. |
Allium sativum bulbs water residue |
15.0 ± 1.00 |
3 |
4. |
Zingiber officinale rhizomes water residue |
15.0 ± 1.08 |
4 |
5. |
Psidium guajava leaves methanol residue |
15.1 ± 1.11 |
5 |
6. |
Allium sativum bulbs herb |
16.7 ± 1.33 |
6 |
7. |
Ferula assafoetida resin water extract |
16.7 ± 1.34 |
6 |
8. |
Ferula assafoetida resin water residue |
16.7 ± 1.46 |
6 |
9. |
Psidium guajava leaves water extract |
16.7 ± 1.49 |
6 |
10. |
Psidium guajava leaves water residue |
16.7 ± 1.67 |
6 |
11. |
Zingiber officinale rhizomes methanol extract |
18.3 ± 1.01 |
7 |
12. |
Emblica officinalis seeds methanol residue |
20.0 ± 1.71 |
8 |
13. |
Zingiber officinale rhizomes herb |
20.0 ± 1.73 |
8 |
14. |
Terminalia chebula seeds water extract |
20.0 ± 1.75 |
8 |
15. |
Terminalia chebula seeds water residue |
20.0 ± 1.77 |
8 |
16. |
Terminalia chebula seeds herb |
20.0 ± 1.78 |
8 |
17. |
Azadirachta indica seed kernels water residue |
20.0 ± 1.01 |
8 |
18. |
Emblica officinalis seeds water extract |
21.7 ± 1.01 |
9 |
19. |
Emblica officinalis seeds water residue |
21.7 ± 1.26 |
9 |
20. |
Allium sativum bulbs methanol extract |
21.3 ± 1.29 |
9 |
21. |
Acacia concinna pods herb |
23.3 ± 1.82 |
10 |
22. |
Zingiber officinale rhizomes methanol residue |
23.3 ± 1.86 |
10 |
23. |
Ferula assafoetida resin methanol residue |
23.3 ± 1.87 |
10 |
24. |
Psidium guajava leaves methanol extract |
23.3 ± 1.01 |
10 |
25. |
Azadirachta indica seed kernels methanol residue |
23.3 ± 1.11 |
10 |
26. |
Emblica officinalis seeds herb |
25.0 ± 1.80 |
11 |
27. |
Ferula assafoetida resin methanol extract |
25.0 ± 1.87 |
11 |
28. |
Psidium guajava leaves herb |
25.0 ± 1.90 |
11 |
29. |
Allium sativum bulbs water extract |
26.6 ± 1.22 |
12 |
30. |
Terminalia chebula seeds methanol residue |
26.6 ± 1.34 |
12 |
31. |
Azadirachta indica seed kernels water extract |
26.6 ± 1.41 |
12 |
32. |
Acacia concinna pods water extract |
28.3 ± 1.34 |
13 |
33. |
Acacia concinna pods water residue |
28.3 ± 1.42 |
13 |
34. |
Allium sativum bulbs methanol residue |
28.3 ± 1.54 |
13 |
35. |
Zingiber officinale rhizome water extract |
28.3 ± 1.67 |
13 |
36. |
Ferula assafoetida resin herb |
28.3 ± 1.69 |
13 |
37. |
Azadirachta indica seed kernels methanol extract |
28.3 ± 1.70 |
13 |
38. |
Azadirachta indica seed kernels herb |
28.3 ± 1.73 |
13 |
39. |
Control |
28.3 ± 1.74 |
13 |
40. |
Emblica officinalis seeds methanol extract |
31.6 ± 1.41 |
14 |
41. |
Terminalia chebula seeds methanol extract |
33.3 ± 1.34 |
15 |
* Mean of 3 observations ** substrate dried CO3 “Coimbatore 3” variety Hybrid Napier grass |
Patra et al (2006) also had reported that methanol extract of seed pulp of Terminalia chebula and methanol, ethanol and water extracts of bulbs of Allium sativum reduced methane production significantly in rumen liquor of buffaloes
Total gas production under in vitro conditions on its own does not reflect the extent of efficient utilization of the substrate. High total gas production indicates that a majority of substrate has gone into gas production thereby reducing the production of VFA and other beneficial end products. Similarly low gas production can be due to inadequate fermentation of substrate or the fact that fermentation has taken place in the favour of VFA rather than gas (Czerkawski and Breckenridge 1977). Thus assessing the total gas production alone will not truly indicate the potency of the herb or its extract or its residue in bringing about a change in fermentation.
Though the carbon dioxide production was also measured, its data alone will not help us in elucidating a meaningful interpretation for ranking the herbs / extracts / residues for reduction in methane production.
While using reduction in methane production in terms of its volume for identifying the herb / extract / residue, the fact that a low total gas production will also reveal lower methane has to be considered. Therefore to arrive at a meaningful interpretation methane production was calculated as a percentage to select the herbs / herbal extracts / residues.
A significant finding in this study was that the active principles involved in reducing methane production were not water soluble as evident from the top five ranks held by methanol extract / methanol residue / water residue in their capacity in reducing per cent methane production.
Though Acacia concinna pods methanol extract and Acacia concinna pods methanol residue were ranked 1 and 2 respectively in their capacity in reducing methanogenesis, Acacia concinna herb as such ranked 10 in reducing methanogenesis indicating that the active principle responsible for reducing methanogenesis in Acacia concinna is a compound partially solubilised by methanol and / or activated in the presence of methanol (Table 3).
Table 3. Total Gas Production, carbon dioxide, methane ,percent methane and ranking of herb/ herbal extract / residue of water / methanol based on percent methane production(mean ± SE) on their incubation (24 hours) at 50mg level or its equivalent with 450mg of substrate** or its equivalent to make a total of 500mg |
||||||
S.No. |
Name of herb/ herbal extract/ residue |
Total Gas production(ml)* |
Carbon dioxide production(ml)* |
Methane production(ml) * |
Percent methane production* |
Ranking based on reducing percent methane production |
1. |
Acacia concinna pods methanol extract |
45.6 ± 3.51 |
39.4 ± 2.61 |
6.2 ± 1.87 |
13.3 ± 1.33 |
1 |
2. |
Acacia concinna pods methanol residue |
41.6 ± 3.22 |
36.3 ± 3.92 |
5.4 ± 0.99 |
13.3 ± 1.34 |
2 |
3. |
Allium sativum bulbs water residue |
35.3 ± 3.38 |
29.9 ± 2.97 |
5.4 ± 2.03 |
15.0 ± 1.00 |
3 |
4. |
Zingiber officinale rhizomes water residue |
40.3 ± 4.17 |
34.1 ± 2.55 |
6.3 ± 1.81 |
15.0 ± 1.08 |
4 |
5. |
Psidium guajava leaves methanol residue |
32.6 ± 4.04 |
27.4 ± 2.16 |
5.3 ± 2.34 |
15.1 ± 1.11 |
5 |
6. |
Allium sativum bulbs herb |
42.6 ± 3.78 |
35.7 ± 4.43 |
6.9 ± 1.12 |
16.7 ± 1.33 |
6 |
7. |
Ferula assafoetida resin water extract |
48.3 ± 4.48 |
40.4 ± 4.34 |
7.9 ± 1.69 |
16.7 ± 1.34 |
6 |
8. |
Ferula assafoetida resin water residue |
46.3 ± 4.71 |
38.1 ± 2.34 |
8.3 ± 4.07 |
16.7 ± 1.46 |
6 |
9. |
Psidium guajava leaves water extract |
39.6 ± 4.58 |
33.4 ± 5.27 |
6.3 ± 0.74 |
16.7 ± 1.49 |
6 |
10. |
Psidium guajava leaves water residue |
40.9 ± 4.09 |
34.3 ± 4.87 |
6.7 ± 2.61 |
16.7 ± 1.67 |
6 |
11. |
Zingiber officinale rhizomes methanol extract |
38.6 ± 3.00 |
31.6 ± 3.76 |
6.9 ± 2.06 |
18.3 ± 1.01 |
7 |
12. |
Emblica officinalis seeds methanol residue |
43.3 ± 3.18 |
34.7 ± 1.73 |
8.6 ± 2.35 |
20.0 ± 1.71 |
8 |
13. |
Zingiber officinale rhizomes herb |
44.6 ± 2.65 |
36.0 ± 4.63 |
8.6 ± 2.05 |
20.0 ± 1.73 |
8 |
14. |
Terminalia chebula seeds water extract |
36.9 ± 1.45 |
29.3 ± 1.75 |
7.5 ± 2.39 |
20.0 ± 1.75 |
8 |
15. |
Terminalia chebula seeds water residue |
23.9 ± 3.28 |
19.3 ± 3.43 |
4.7 ± 1.51 |
20.0 ± 1.77 |
8 |
16. |
Terminalia chebula seeds herb |
26.3 ± 3.71 |
20.9 ± 3.08 |
5.3 ± 1.58 |
20.0 ± 1.78 |
8 |
17. |
Azadirachta indica seed kernels water residue |
42.6 ±3.51 |
34.4 ± 6.03 |
8.2 ± 3.82 |
20.0 ± 1.01 |
8 |
18. |
Emblica officinalis seeds water extract |
45.3 ± 4.81 |
36.1 ± 6.71 |
9.2 ± 1.91 |
21.7 ± 1.01 |
9 |
19. |
Emblica officinalis seeds water residue |
40.3 ± 4.17 |
32.1 ± 6.03 |
8.3 ± 2.37 |
21.7 ± 1.26 |
9 |
20. |
Allium sativum bulbs methanol extract |
39.9 ± 3.76 |
30.9 ± 0.89 |
9.1 ± 3.09 |
21.3 ± 1.29 |
9 |
21. |
Acacia concinna pods herb |
41.3 ± 1.85 |
31.5 ± 2.95 |
9.8 ± 3.88 |
23.3 ± 1.82 |
10 |
22. |
Zingiber officinale rhizomes methanol residue |
51.3 ± 1.33 |
39.4 ± 4.06 |
11.9 ± 3.80 |
23.3 ± 1.86 |
10 |
23. |
Ferula assafoetida resin methanol residue |
57.6 ± 6.43 |
44.1 ± 5.22 |
13.5 ± 2.53 |
23.3 ± 1.87 |
10 |
24. |
Psidium guajava leaves methanol extract |
28.6 ± 2.00 |
21.8 ± 1.39 |
6.8 ± 2.06 |
23.3 ± 1.01 |
10 |
25. |
Azadirachta indica seed kernels methanol residue |
46.3 ± 1.73 |
35.1 ± 2.73 |
11.1 ± 3.73 |
23.3 ± 1.11 |
10 |
26. |
Emblica officinalis seeds herb |
43.6 ± 1.73 |
32.8 ± 2.56 |
10.8 ± 0.83 |
25.0 ± 1.80 |
11 |
27. |
Ferula assafoetida resin methanol extract |
50.3 ± 3.18 |
37.9 ± 4.71 |
12.4 ± 2.78 |
25.0 ± 1.87 |
11 |
28. |
Psidium guajava leaves herb |
26.9 ± 1.85 |
20.2 ± 0.67 |
6.8 ± 1.25 |
25.0 ± 1.90 |
11 |
29. |
Allium sativum bulbs water extract |
45.9 ± 1.45 |
33.6 ± 3.76 |
12.4 ± 4.32 |
26.6 ± 1.22 |
12 |
30. |
Terminalia chebula seeds methanol residue |
29.9 ± 1.85 |
22.2 ± 3.22 |
7.8 ± 0.83 |
26.6 ± 1.34 |
12 |
31. |
Azadirachta indica seed kernels water extract |
42.6 ± 3.51 |
30.9 ± 1.61 |
11.7 ± 3.35 |
26.6 ± 1.41 |
12 |
32. |
Acacia concinna pods water extract |
35.6 ± 2.08 |
25.5 ± 1.13 |
10.2 ± 1.08 |
28.3 ± 1.34 |
13 |
33. |
Acacia concinna pods water residue |
42.6 ± 1.53 |
30.5 ± 0.44 |
12.1 ± 1.12 |
28.3 ± 1.42 |
13 |
34. |
Allium sativum bulbs methanol residue |
31.3 ± 2.00 |
22.4 ± 1.82 |
8.9 ± 1.07 |
28.3 ± 1.54 |
13 |
35. |
Zingiber officinale rhizome water extract |
42.9 ± 2.03 |
30.8 ± 1.53 |
12.2 ± 0.97 |
28.3 ± 1.67 |
13 |
36. |
Ferula assafoetida resin herb |
43.6 ± 3.78 |
31.2 ± 1.83 |
12.6 ± 2.47 |
28.3 ± 1.69 |
13 |
37. |
Azadirachta indica seed kernels methanol extract |
45.6 ± 4.35 |
32.8 ± 3.88 |
12.8 ± 0.61 |
28.3 ± 1.70 |
13 |
38. |
Azadirachta indica seed kernels herb |
23.6 ± 2.52 |
17.0 ± 2.06 |
6.6 ± 0.61 |
28.3 ± 1.73 |
13 |
39. |
Control |
47.6 ± 1.73 |
34.2 ± 1.45 |
13.5 ±0.95 |
28.3 ± 1.74 |
13 |
40. |
Emblica officinalis seeds methanol extract |
24.3 ± 4.17 |
16.3 ± 1.73 |
8.0 ± 2.52 |
31.6 ± 1.41 |
14 |
41. |
Terminalia chebula seeds methanol extract |
22.3 ± 2.83 |
14.8 ± 1.41 |
7.5 ± 1.32 |
33.3 ± 1.34 |
15 |
* Mean of 3 observations ** Substrate Dried Coimbatore 3 variety(CO3) Hybrid Napier Grass |
Pods of Acacia concinna have been found to contain triterpenoids, steroids, saponins, acacidol, acacic acid and sonumin (Chevallier 1996) and methane inhibiting effect of methanol extract / residue of Acacia concinna could be attributed to saponin. Saponins from different sources have been found to be toxic to protozoa and have been identified as possible defaunating agents (Newbold et al 1997). The antiprotozoal effects of saponins is due to their capacity to form irreversible complexes with the cholesterol in protozoal cell membrane causing break down in the membrane leading to cell lysis and death (Francis et al 2002).
Allium sativum bulbs water residue was capable of significantly reducing methane production and was ranked 3. Allicin is an active principle present in crushed and processed Allium sativum and preliminary studies using real time polymerase chain reaction (PCR) suggested that this allicin had a direct effect on reducing the number of methanogens with no effect on the total bacterial population in fermentor of RUSITEC (Hart et al 2006). The antimethanogenic activity of Allium sativum and its components was the result of direct inhibition of Archaea micro organisms in the rumen (Busquet et al 2005). The stability of cell membrane of Archaea micro organisms depends on glycerol linked long chain isoprenoid alcohols (De Rosa et al 1986) and the synthesis of these isoprenoid units in methanogenic Archaea is catalysed by HMG CoA (Hydroxy methyl glutaryl CoA) reductase. Organo sulphur compounds in Allium sativum are strong inhibitors of HMG CoA reductase and may be possibly inhibiting methanogenesis.
Ranked 4 in the ability to reduce methane production was Zingiber officinale rhizomes water residue. Zingiber officinale rhizomes are rich in camphene (14.1%), β-bisabolene (22.1%) and ar-curcumene (14.5%) (Chao et al 2000) that could have contributed to its methane reducing capacity.
Psidium guajava leaves methanol residue ranked 5 in inhibiting methane production. The inhibitory action could have occurred due to presence of phytochemical constituents viz. alkaloids, saponins, steroidal rings and deoxy sugars. Further Psidium guajava leaves extract have shown antimicrobial activities (Elekwa et al 2009).
The first five ranked treatments were selected for experiment II. The in vitro total gas (ml), carbon dioxide (ml) and methane production (ml and per cent) on incubation of these selected herbal extracts / residues is presented in Table 4.
Table 4. In vitro total gas, carbon dioxide, methane production in ml and methane production in percentage on 24 hour incubation of selected water/methanol extract/residue of herb at different inclusion levels with substrate (Mean* ± SE) |
|||||
Herb/ extract /residue |
Inclusion level, |
Total gas
volume,
|
CO2
volume, |
CH4
volume, |
CH4, |
Acacia concinna pods methanol extract |
control |
50.3 ± 3.01 c |
33.9 ± 0.63 ab |
16.4 ± 1.82 b |
32.5 ± 2.51c |
30 |
49.1 ± 0.20 c |
38.7 ± 0.66cd |
10.4 ± 0.46 a |
21.1 ± 1.02ab |
|
40 |
47.8 ± 0.50bc |
39.8 ± 1.31 cd |
8.36 ± 0.91 a |
17.5 ± 2.51 ab |
|
50 |
48.8 ± 0.50 bc |
42.7 ± 1.35 d |
6.09 ± 0.95 a |
12.5 ± 2.51 a |
|
60 |
43.8 ± 1.50ab |
35.6 ± 0.55 bc |
8.24 ± 0.67 a |
18.7 ± 1.25 ab |
|
70 |
40.3 ± 1.00a |
31.5 ± 0.19 a |
9.10 ± 1.01 a |
22.5 ± 2.50 b |
|
Acacia concinna pods methanol residue |
control |
50.3 ± 3.01 b |
33.9 ± 0.63 b |
16.4 ± 1.82 c |
32.5 ± 2.51 b |
30 |
37.8 ± 1.76 b |
29.7 ± 1.89 bc |
8.16 ± 0.39 b |
21.7 ± 1.67 a |
|
40 |
37.8 ± 1.76 b |
29.6 ± 1.61 bc |
8.50 ± 0.55 b |
22.5 ± 1.44 a |
|
50 |
39.2 ± 1.15 b |
32.3 ± 0.38 c |
6.89 ± 0.77 ab |
17.5 ± 1.44 a |
|
60 |
25.5 ± 0.66 a |
21.3 ± 1.23 a |
4.23 ± 0.81 a |
16.7 ± 3.33 a |
|
70 |
37.8 ± 1.20 b |
29.6 ± 0.35 bc |
8.24 ± 0.91 b |
21.7 ± 1.67 a |
|
Allium sativum bulbs water residue |
control |
50.4 ± 3.01 bc |
33.9 ± 0.63 b |
16.4 ± 1.82 b |
32.5 ± 2.51 b |
30 |
53.4 ± 1.00 c |
41.7 ± 1.72 cd |
11.9 ± 0.91 ab |
22.5 ± 2.51 a |
|
40 |
46.8 ± 1.50 b |
35.7 ± 1.41 bc |
11.1 ± 0.18 a |
23.7 ± 1.25 a |
|
50 |
51.8 ± 0.50 bc |
42.1 ± 0.19 d |
9.73 ± 0.61 a |
18.7 ± 1.25 a |
|
60 |
48.4 ± 1.00 bc |
38.1 ± 0.15 bcd |
10.3 ± 0.66 a |
21.3 ± 1.02 a |
|
70 |
37.4 ± 2.01 a |
28.9 ± 0.50 a |
8.45 ± 1.13 a |
22.5 ± 2.51 a |
|
Zingiber officinale rhizomes water residue |
control |
50.4 ± 3.01 c |
33.9 ± 0.63 b |
16.4 ± 1.82 d |
32.5 ± 2.51 c |
30 |
39.8 ± 2.51 b |
31.9 ± 2.45 b |
7 .91 ± 0.41 ab |
20.0 ± 2.04 ab |
|
40 |
53.8 ± 2.51 c |
43.8 ± 2.21 c |
10.1 ± 0.16 bc |
18.7 ± 1.02 ab |
|
50 |
52.8 ± 1.50 c |
45.6 ± 1.59 c |
7.25 ± 0.37 ab |
13.7 ± 1.02 a |
|
60 |
29.4 ± 1.00 a |
23.1 ± 0.34 a |
6.25 ± 0.47 a |
21.3 ± 1.02 ab |
|
70 |
56.4 ± 3.01 c |
42.9 ± 1.29 c |
13.4 ± 1.15 cd |
23.7 ± 1.25 ab |
|
Psidium guajava leaves methanol residue |
control |
50.4 ± 3.01 ab |
33.9 ± 0.63 a |
16.4 ± 1.82 c |
32.5 ± 2.51 b |
30 |
50.8 ± 0.88 b |
38.9 ± 1.94 a |
11.8 ± 1.66 bc |
23.3 ± 3.33 ab |
|
40 |
47.5 ± 1.00 ab |
36.6 ± 2.03 a |
11.4 ± 1.26 ab |
24.2 ± 3.01 ab |
|
50 |
44.8 ± 1.67 a |
36.6 ± 1.85 a |
8.19 ± 0.67 ab |
18.3 ± 1.67 a |
|
60 |
44.8 ± 1.20 a |
36.2 ± 0.62 a |
8.61± 0.59 ab |
19.2 ± 0.83 a |
|
70 |
46.8 ± 2.60 ab |
39.8 ± 3.70 a |
7.65 ± 1.27 a |
16.7 ± 3.33 a |
|
*Mean of three observations corrected by blank values. abcd Means bearing different superscript in a column for respective herb/extract/residue differ significantly (P<0.05) |
Significantly (P<0.05) lowest total gas and carbon dioxide production for Acacia concinna pods methanol extract was observed at 70 mg inclusion level. Whereas, methane volumes and per cent methane production was significantly (P<0.05) lowest when it was included at 50 mg.
Acacia concinna pods methanol residue when included at 60 mg revealed significantly (P<0.05) lowest total gas, carbon dioxide, and methane and per cent methane production. However the reduction in methane percentage was comparable when included at 30 mg itself. Therefore the lower level itself was considered for further studies.
In the case of Allium sativum bulbs water residue 70 mg inclusion revealed significantly (P<0.05) lowest total gas, carbon dioxide and methane production. However the reduction in methane percentage was comparable when included at 30 mg itself. Therefore the lower level itself was considered for further studies.
Zingiber officinale rhizomes water residue when included at 60 mg revealed significantly (P<0.05) lowest total gas, carbon dioxide, and methane production. Whereas, per cent methane production was significantly (P<0.05) lowest when it was included at 50 mg.
Total gas production was significantly (P<0.05) lower at both 50 and 60 mg inclusions for Psidium guajava leaves methanol residue. All inclusions revealed no significant difference from control with respect to carbon dioxide production. However the reduction in methane percentage was comparable when included at 50, 60 and 70 mg. Therefore the lower level (50 mg) was considered for further studies.
Pen et al (2006) also had reported that the rate and extent of methane production were reduced (P<0.001) by Yucca schidigera extract addition in a dose dependent manner led to methane reduction upto 42 per cent. Garcia et al (2008) also had stated that Frangula alnus bark and Rheum officianale root resulted in dose dependent linear decrease in methane production.
Though substantial reports exist on the effect of plant based extracts on rumen fermentation only a few of them have reported dose response studies. Differences in the activity of the secondary compounds of the plants are not only due to their different chemical nature, but also to different factors that can influence the concentration and activity of secondary metabolites within a given plant species. Some of the influential factors are origin, botanical variety, conditions of cultivation and harvesting, climatic and atmospheric factors, topographic factors, phenological state of the plant, part of the plant used, processing and handling of the product (Wenk 2003). Thus, to reach an adequate dose of active compounds, a different level of addition for each plant additive tested might be required to observe an effect. High doses of plant extracts are not safe to be recommended in spite of their antimethanogenic activity because they may be detrimental in rumen microbial fermentation leading to reduced TVFA concentration. Ammonia nitrogen concentration could also decrease (Busquet et al 2006). Therefore identifying the minimum level of extract / residue becomes all the more vital.
Thus from the study it was inferred that for Acacia concinna pods methanol extract inclusion at 50 mg, Acacia concinna pods methanol residue inclusion at 30 mg, Allium sativum bulbs water residue inclusion at 30 mg, Zingiber officinale rhizome water residue inclusion at 50 mg and for Psidium guajava leaves methanol residue inclusion at 50 mg exhibited maximum inhibition of methanogenesis. These treatments were further validated using RUSITEC.
The results of the fermentation parameters studied in RUSITEC are presented in Table 5.
Table 5. In vitro rumen fermentation characters (24 hours incubation) on supplementation of selected herbal extracts / residues at selected levels in dairy cattle complete feed using RUSITEC. (Mean* ± SE) State if ml of gas per how much substrate or else? Per 10g of the complete feed substrate |
|||||||
Herb/extract/ residue |
Inclusion level, mg |
Rumen fermentation characters |
|||||
pH |
Total gas, ml |
Methane, ml |
Carbon dioxide, ml |
Methane, % |
IVDMD, % NS |
||
Acacia concinna pods methanol extract |
50 |
6.84 ± 0.01b |
1205 ± 4.47c |
214 ± 1.24cd |
991 ± 3.23c |
17.5 ± 1.12ab |
46.5 ± 1.42 |
Acacia concinna pods methanol residue |
30 |
6.85 ± 0.02 b |
792 ± 4.43ab |
129 ± 2.29a |
663 ± 2.14ab |
16.7 ± 1.05a |
50.6 ± 2.13 |
Allium sativum bulbs water residue |
30 |
6.84 ± 0.02b |
772 ± 4.30ab |
152 ± 1.65abc |
620 ± 2.65ab |
19.6 ± 0.42b |
51.2 ± 1.95 |
Zingiber officinale rhizomes water residue |
50 |
6.72 ± 0.04a |
697 ± 1.83a |
132 ± 0.46ab |
565 ± 1.47a |
19.2 ± 0.53b |
48.6 ± 2.59 |
Psidium guajava leaves methanol residue |
50 |
6.83 ± 0.01b |
1020 ± 4.48bc |
191 ± 1.64bcd |
829 ± 2.84bc |
18.7 ± 0.56ab |
49.8 ± 2.54 |
Control(substrate alone) |
0?? |
6.83 ± 0.02b |
760 ± 2.02ab |
224 ± 0.97d |
536 ± 1.05a |
29.2 ± 0.83c |
48.7 ± 2.72 |
*Mean of six observations corrected by blank values. abcd Means bearing different superscript in a column for respective herb/extract/residue differ significantly (P<0.05).; NS Non Significant. |
All the herbal extracts / residues significantly (P<0.05) lowered per cent methane production compared to that of control. Acacia concinna pods methanol residue was able to reduce methane production to a maximum (16.7 ± 1.05 %). Rumen pH remained unaltered compared to control in all the herbal extracts / residues except for ginger rhizomes water residues wherein the pH (6.72 ± 0.04) was significantly (P<0.05) lower than that of control. The per cent IVDMD for all the herbal extracts / residues did not reveal any significant change compared to control. Concurring with the findings of this study Wang et al (1998) observed that supplying Yucca schidigera extract (0-5 mg/ml) in buffer in RUSITEC did not affect IVDMD, gas production or total VFA concentration. Reductions in methane production have been mostly related to adverse effect on substrate degradation (Beauchemin and Mc Ginn 2006). However, Broudiscou et al (2002) reported that some plant species decrease methane production and at the same time stimulate micro organisms. Sliwinski et al (2002) also reported lack of effect on substrate degradation in response to plant extracts that reduced methane production. Bodas et al (2008) also reported that the plants did not cause any substantial modification in any fermentation parameter apart from methane production. Cardozo et al (2004) on evaluating Cinnamon cassia essential oil on microbial fermentation reported no effect on rumen fermentation pattern. Significantly reduced residual protozoal population but no effects on total bacterial numbers have been reported on feeding Yucca schidigera extract thus having antiprotozoal effect for ruminants (Pen et al 2007) but being less toxic to other ruminal microbial populations.
Active principles of herbs having capacity to reduce methane production differ in their property of solubility. The active principles involved in reducing methane production are not water soluble. Acacia concinna pods methanol extract ranked 1 Acacia concinna pods methanol residue ranked 2, Allium sativum bulbs water residue ranked 3, Zingiber officinale rhizomes water residue ranked 4 and Psidium guajava leaves methanol residue ranked 5 in their capacity to inhibit methanogenesis. Herbal extracts / residues at inclusion between 30 -50 mg reduced per cent methane production significantly (P<0.05) lower than control without adversely affecting the ruminal pH and in vitro dry matter degradability (IVDMD).
Asanuma N, Iwamoto M and Hino T 1999 Effect of the addition of fumarate on methane production by ruminal microorganism in vitro, Journal of Dairy Science 82: 780–787. http://download.journals.elsevierhealth.com/pdfs/journals/0022-0302/PIIS0022030299752963.pdf
Beauchemin K A and McGinn S M 2006 Methane emissions from beef cattle: effects of fumaric acid, essential oil, and canola oil, Journal of Animal Science 84: 1489–1496. http://jas.fass.org/cgi/reprint/84/6/1489.pdf
Blummel M and Becker K 1997 The degradability characteristics of fifty four roughages and roughage neutral detergent fibres as described by in vitro gas production and their relationship to voluntary feed intake, British Journal of Nutrition 77: 757–768. http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN77_05%2FS0007114597000743a.pdf&code=e72e77474d0eb97fead73b8e039e5e6c
Bodas R, Lopez S, Fernandez M, Garc´ıa-Gonzalez R, Rodrıguez A B, Wallace R J and Gonz´alez J S 2008 In vitro screening of the potential of numerous plant species as antimethanogenic feed additives for ruminants, Animal Feed Science and Technology 145: 245–258.
Broudiscou L P, Papon Y and Broudiscou A F 2002 Effects of dry plant extracts on feed degradation and the production of rumen microbial mass in a dual flow fermenter, Animal Feed Science and Technology 101: 183–189.
Busquet M, Calsamiglia
S, Ferret A, Carro M D and Kamel C 2005
Effect of garlic oil and four of its compounds on rumen microbial fermentation,
Journal of Dairy Science 88: 4393-4404.
http://download.journals.elsevierhealth.com/pdfs/journals/0022-0302/PIIS002203020573126X.pdf
Busquet M, Calsamiglia S, Ferret A and Kamel C 2006 Plant extracts affect in vitro rumen microbial fermentation, Journal of Dairy Science 89: 761–771. http://download.journals.elsevierhealth.com/pdfs/journals/0022-0302/PIIS0022030206721373.pdf
Cardozo P, Calsamiglia W S , Ferret A and Kamel C 2004 Effects of natural plant extracts on protein degradation and fermentation profiles in continuous culture, Journal of Animal Science 82: 3230–3236. http://jas.fass.org/cgi/reprint/83/11/2572
Carro M D, Lebzien P and Rohr K 1995 Effect of pore size of nylon bags and dilution rate on fermentation parameters in a semi-continuous artificial rumen. Small Ruminant Research 15: 113–119.
Chao S C and Young D G 2000 Screening for inhibitory activity of essential oils on selected bacteria, fungi and viruses, Journal of Essential Oil Research 12: 639–649.
Chevallier A 1996 The Encyclopedia of Medicinal Plants. Dorling Kindersley Limited, London, pp. 336.
Czerkawski J W and Breckenridge G 1977 Design and development of a long-term rumen simulation technique (RUSITEC), British Journal of Nutrition 38: 371–384. http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN38_03%2FS0007114577000506a.pdf&code=dba64dc1d78cc4756dc05fe2f918880a
Davidson P M and Naidu A S 2000 Phyto-phenols, Natural Food Antimicrobial Systems, A. S. Naidu, ed. CRC Press, Boca Raton F L, pp 265– 293.
De Rosa M, Gambacorta A and Gliozzi 1986 Structure, biosynthesis and physicochemical properties or archaebacterial lipids, Microbiological Reviews 50: 70–80.
Elekwa I, Okereke S C and Ekpo B O 2009 Preliminary phytochemical and antimicrobial investigations of the stem bark and leaves of Psidium guajava L, Journal of Medicinal Plants Research 3 (1). 045-048.
FDA 2004 Food and Drug Administration of the US, Substances used as GRAS in food, 21 CFR 184.
Fievez V, Babayemi O J and Demeyer D 2005 Estimation of direct and indirect gas production in syringes: A tool to estimate short chain fatty acid production that requires minimal laboratory facilities, Animal Feed Science and Technology 123–124: 197–210.
Francis G, Kerem Z, Makkar H P S and Becker K 2002 The biological action of saponins in animal systems: Reviews. British Journal of Nutrition 88: 587–605. http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN88_06%2FS0007114502002349a.pdf&code=dba64dc1d78cc4759f1f376d4cb1ef35
Garcıa-Gonzalez R, Lopez S, Fernandez M, Bodas R and Gonzalez J S 2008 Screening the activity of plants and spices for decreasing ruminal methane production in vitro, Animal Feed Science and Technology 147: 36-52.
Haque N 2001 Environmental implication of methane production: diet and rumen ecology. Short course, CAS in Animal Nutrition, IVRI, Izatnagar.
Hart K J, Girdwood S E, Taylor S, Yanez-Ruiz D R and Newbold C J 2006 Effect of allicin on fermentation and microbial populations in the rumen simulating fermentor Rusitec, Reproduction Nutrition Development 46 (Supplement 1): 97- 115.
Hristov N A, McAllister T A, Van Herk F H, Cheng K J, Newbold C J and Cheeke P R 1999 Effect of Yucca schidigera on ruminal fermentation and nutrient digestion in heifers, Journal of Animal Science 77: 2554–2563. http://jas.fass.org/cgi/reprint/77/9/2554.pdf
Johnson K A and Johnson
DE,1995 Methane emissions from cattle, Journal of
Animal Science 73: 2483–2492.
http://jas.fass.org/cgi/reprint/73/8/2483.pdf
Kamra D N, Agarwal N and Yadav M P 2004 Methanogenesis in the rumen and the Greenhouse effect on the environment, Livestock International 8: 2 and 5-8.
Kobayashi Y, Wakita M and Hoshino S 1992 Effects of ionophore salinomycin on nitrogen and long-chain fatty acid profiles of digesta in the rumen and the duodenum of sheep, Animal Feed Science and Technology 36: 67–76.
Lee S S and Ha J K 2003 Influences of surfactant Tween 80 on the gas production, cellulose digestion and enzyme activities by mixed rumen organisms. Asian-Australian Journal of Animal Sciences 16: 1151-57.
Menke K H and Steingass H 1988 Estimation of the energetic feed value obtained from chemical analysis and in vitro gas production using rumen fluid, Animal Research and Development 28: 7–55.
Mutsvangwa T, Edward I E, Topp J H and Peterson G F 1992 Animal Production 55: 35-40.
Newbold C J, El Hassan S M, Wang J, Ortega M E and Wallace R J 1997 Influence of foliage from African multipurpose trees on activity of rumen protozoa and bacteria, British Journal of Nutrition 78: 237-249. http://journals.cambridge.org/download.php?file=%2FBJN%2FBJN78_02%2FS000711459700130Xa.pdf&code=942a42732228c781a239898b8d35813a
Patra A K, Kamra D N, Agarwal N 2006 Effect of plant extract on in vitro methanogenesis, enzyme activities and fermentation of feed in rumen liquor of buffalo, Animal Feed Science and Technology 128: 276–291.
Pen B, Sar C, Mwenya B, Kuwaki M, Morikawa R, Takahashi J 2006 Effects of Yucca schidigera and Quillaja saponaria extracts on in vitro ruminal fermentation and methane emission, Animal Feed Science and Technology 129: 175–186.
Pen B, Takaura K, Yamaguchi S, Asa R and Takahashi J 2007 Effects of Yucca schidigera and Quillaja saponaria with or without 1–4 galacto-oligosaccharides on ruminal fermentation, methane production and nitrogen utilization in sheep, Animal Feed Science and Technology 138: 75–88.
SAS 1999 SAS User’s guide. Statistics (SAS / SPSS version 10) SAS Inst. INC., Cary, NC.
Sliwinski B J, Soliva C R, Machmuller A and Kreuzer M 2002 Efficacy of plant extracts rich in secondary constituents to modify rumen fermentation, Animal Feed Science and Technology 101: 101–114.
Van Nevel C J and Demeyer D I 1996 Control of rumen methanogenesis. Environmental Monitoring and Assessment 42, 73–97.
Wang Y, McAllister T A, Newbold C J, Rodea M, Cheeke P R and Chenga K J 1998 Effects of Yucca schidigera extract on fermentation and degradation of steroidal saponins in the rumen simulation technique (RUSITEC), Animal Feed Science and Technology 74: 143-153.
Wenk C 2003 Herbs and botanicals as feed additives in monogastric animals, Asian Australasian Journal of Animal Sciences 16: 282–289.
Received 20 July 2010; Accepted 19 September 2010; Published 1 November 2010