Back to content

Livestock-Based Farming Systems, Renewable  Resources and the Environment

Citation of this paper

Mitigation of methane emission by means of oil and nitrate supplement in diets of growing cattle

Tran Hiep, Dang Vu Hoa* and Nguyen Xuan Trach 

Faculty of Animal Sciences and Aquaculture – Hanoi University of Agriculture – Vietnam: hiep26@yahoo.com
*Nation Institute of Animal Sciences – Hanoi – Vietnam

Abstract 

The objective of the study was to determine methane emission and to mitigate methane emission by oil and nitrate supplement in the diets of growing cattle. An experiment was carried out during 3 months (June - August) in the experimental station of Hanoi University of Agriculture (Vietnam). Twenty-two growing cattle (170 kg on average) were equally divided 8 blocks corresponding to 8 diets based on 2% NaOH treated rice straw and cassava leaf meal (1% BW, DM basic), supplemented with 1.5%, 3.0%, 4.5%, 6.0% sunflower oil plus 4%CaNitrate or 1.5% urea as NPN source. Methane emission was determined by using CH4/CO2 ratio method. 

Methane emission rate (L/kg DMI) was reduced by 26% by nitrate supplement compared with urea supplement. The increase in oil level reduced non-linearly methane emission. The best level oil supplement was 3.0%. However, the best treatment was found with 4% CaNitrate and 1.5% oil supplement in the diet. It was also shown that estimated energy loss from the experiment diet ranged from 5-8% diet gross energy, compared with around 12% potential energy loss from diet without supplement. As a conclusion, it should be added nitrate and oil supplement (at a limit of 1.5%) to mitigate methane emission from growing cattle.   

Keywords: Growing cattle, methane mitigation, nitrate, oil.  

Introduction 

Ruminants are an important source of methane emission to the atmosphere, improving the greenhouse effect. They contribute about 22% of the total anthropic sources in the world, or 80 Tg/year (USEPA 2000). Methane production results from the digestive process of herbivore ruminants in the rumen, during anaerobic fermentation of soluble and structural carbohydrates, mainly in grass forage, and corresponds to an energy loss of around 6% (in temperate climate) or 10% (in tropical climate) of gross energy intake (USEPA 1990).  

Nevertheless, understanding the relationship of diet to enteric methane production is essential to reduce uncertainty in green house gas emission inventories and to identify viable green house gas reduction strategies. For cattle, reducing methane means an improvement in feed quality. Dietary changes can impact methane emissions by decreasing the fermentation of organic matter in the rumen, shifting the site of digestion from the rumen to the intestines, diverting H away from methane production during fermentation, or by inhibiting methanogenesis by rumen bacteria (Johnson and Johnson 1995; Benchaar et al 2001). Diets that restrict the hydrogen available in the rumen for methane hygienic bacteria generate less enteric CH4

When rumen microorganisms ferment feed organic matter, they generate the reduced cofactor NADH which is in equilibrium with rumen H2. In ruminants, the H2  is normally removed by the reduction of CO2 to form methane. However, NO3 has a higher affinity for H2 than CO2 and, when it is present, H2 is first used in the reduction of NO3 to NO2 and NO2 to NH3 thereby reducing the production of methane from CO2. Otherwhile, some microorganisms in the rumen use H2 to hydrogenate the double bonds of unsaturated fatty acids. Therefore, the addition of unsaturated fatty acids to the diet results in inhibition of CH4 production.  

So, providing nitrate and oil source is expected to lesson methane production and emission from ruminant. However, interaction effect of both nitrate and oil on the methane emission of growing cattle is not well-documented, especially with typical cattle diet in Vietnam.  

Materials and methods

Location

The in vivo experiment was done at the experimental farm of Faculty of Animal Sciences and Aquaculture, Hanoi University of Agriculture (FASA-HUA).

Animals

Experiment involved 24 growing cattle of around 170 kg. Each cattle was housed in a tie-stall to allow intake and methane measurement.  

Photo 1. Growing cattle involved in the experiment
Diets

Experimental diets much be representative for most dairy systems, diets were thus formulated using main forages and by-products in northern Vietnam. The basal diet includes: NaOH treated rice straw ad lib + cassava leaf (1%BW, DM basis). This basal diet was supplemented with 8 different levels of SF oil + NPN (urea or Ca-Nitrate) as factor reducing methane production in rumen. Eight levels of SF oil + Ca-Nitrate were as follows: 

Table 1: Levels of sunflower (SF) oil and NPN supplement in the basal diet

 

1.5% Urea

4% CaNitrate

1.5% SF oil

D1

D3

3.0% SF oil

D2

D4

4.5% SF oil

D5

D7

6.0% SF oil

D6

D8

Note: D1¸ D8 are experimental diets supplemented with different levels of SF oil and NPN source

 

Table 2: Chemical composition of experimental diets (% DM)

Diets

Supplement

Energy (*)

Protein

NDF

ADF

ADL

D1

U1.5 O1.5

1883

10.2

60.1

42.5

4.72

D2

U1.5 O3.0

1929

10.1

59.7

42.2

4.66

D3

N4.0 O1.5

1869

10.0

59.3

42.0

4.70

D4

N4.0 O3.0

1890

9.9

59.3

41.9

4.64

D5

U1.5 O4.5

1969

10.0

59.3

41.9

4.62

D6

U1.5 O6.0

2021

9.9

59.0

41.6

4.56

D7

N4.0 O4.5

1948

9.9

58.6

41.4

4.63

D8

N4.0 O6.0

1995

9.7

58.2

41.1

4.57

Note: (*)  kcal ME/kg

Experimental design

With regard to the objective of evaluating effect of oil and nitrate on methane emission of growing cattle by using CH4/CO2 ratio method, 24 growing cattle were randomly allocated to 8 treatments (3 animals/block) based on animal’s body weight, age and sex. The treatment followed a 2*4 factorial design with Ca-Nitrate (4%DM) or urea (1.5% DM) as source of NPN and 4 levels of SF oil (1.5%, 3.0%, 4.5% and 6.0% DM). The experiment lasted for 4 weeks (one adaptation week and 3 measurement weeks).  

Intake measurement

For each cattle, the daily forage and concentrate intake were individually determined. Forage refusals were weighed the next morning. Total DMI was estimated as the difference between the total amount of feeds offered and that refused, on DM basis. 

Feed sampling procedure

Approximately 500 g on a fresh matter basis of each ingredient are collected every methane estimating day. They were then dried in a oven at 70°C for 48 h to determine DM content. All dried samples were grounded into a 1 mm screen CYCLOTEC and stored in closed plastic boxes at room temperature before chemical analyses.

Chemical composition analysis:

Chemical composition of each feed (ash, CP, NDF, ADF, starch and sugar) was predicted according to a large NIRS database and equations for tropical and temperate forages (from Gembloux (Belgium) and Cirad (France) databases).

Gas measurement and methane emission estimation:

The total methane emission was estimated for each cow using the equation developed by Madsen et al (2010) as follow:s: 

CH4 produced (l/d) = a * (b-d)/(c-e)

where:

a is CO2 produced by the animal, l/day

b is the concentration of CH4 in air mix, ppm

c is the concentration of CO2 in air mix, ppm

d is the concentration of  CH4 in background air, ppm

e is the concentration of CO2 in background air, ppm.

 

The  CH4 production can be estimated as shown above, based on known/calculated CO2 production by the animal(s), measured background concentration (outdoor concentration representing atmospheric air) of CH4 and CO2, and measured concentration of CH4 and CO2 in an air sample containing a mixture of air from background and gases excreted from the animal. The air samples were collected two days at the end of the experiment and then measured for CH4 and CO2 by Gas chromatography: GC17A, Detector FID.

Photo 2: Gas collection for CO2 and CH4 determination

 Potential methane emission estimation

The total methane production was estimated using an equation developed by Moe and Tyrell (1980): [CH4 l/j = 86.1+67.0*Cell+43.9* Hemi+12.9 * Starch and Sugar; (kg ingested/day on DM basis)].

Statistical analysis

The data were analyzed by the General Linear Model option in the ANOVA program of SAS system Software (version8.0). 

Results and Discussion 

Diet intake 

The effect of NPN source and oil level on diet intake is shown in table 3. Results show that nitrate supplement increased significantly DM, CP and fiber (NDF, ADF) intake compared with urea supplement. In fact, the nitrate supplement increased intake by 8%, 5% and 6% for DM, CP, NDF and ADF. This could be explained by low degradation of nitrate and therefore more efficient nitrogen utilization of rumen microbes in the rumen. Faverdin (2003) and Hoover & Stokes (1991) suggested that the protein use efficiency depends on protein sources and their degradation rates. A rapidly degradable protein could be underutilized because the rumen microbes could not, at the same time, depose enough energy issued from the carbohydrate fermentation process. Hence, the exceeded nitrogen could provoke digestive disorder or metabolism troubles (uraemia) and/or reduce microbial activities considerably. The nitrogen lowly reduced from nitrate is thus more important than from urea because nitrate provides the nitrogen source to microbes at the same time as the carbohydrates are fermented.  

Results show, on the other hand, no effect of oil supplement on intake was found for all variables. Beauchemin et al  (2008) assumed that most forages have some fat content and that DMI may be suppressed at fat intakes above 6 to 7%, CH4 mitigation of 10-25% are possible from the addition of dietary oils to the diet of ruminants. Machmuller et al  (2000) reported that oils offer a practical approach to reducing methane in situations where animals can be given daily feed supplements, but excess oil is detrimental to fibre digestion and productions. Oils may act as hydrogen sinks but medium chain length oils appear to act directly on methanogens and reduce numbers of ciliate protozoa. In contrast, Johnson et al  (2002) and (2008) found no response to diets containing 2.3, 4.0 and 5.6% fat (cottonseed and canola) fed to lactating cow. So, the present results are similar to those found by Johnson et al (2002 2008). 

Concerning the interaction effect of both NPN and oil supplement on intake, the higher intake was found for diets containing 4% nitrate. The highest and lowest DM intake were found for diet containing 4% nitrate plus 4.5% oil (3,36% BW) and 1.5% urea plus 6.0% oil (2.83% BW). However, the best level of protein and fiber intake seemed to be diet containing 4% nitrate plus 1.5% oil (554 g CP, 3290 g NDF and 2329 g ADF per day). As explained above, nitrate is more important than from urea due to its low rate of reduction to ammonia and suitable level of oil supplement will enhance fibre digestion.  

Table 3: Effect of NPN sources & oil levels on diet intake

Variables

Dry matter

Protein

NDF

ADF

(kg/day)

(%BW)

(g/day)

(g/d)

(g/d)

NPN sources

 

 

 

 

 

Urea (1.5%)

5.04 ± 0.28

2.98 ± 0.20

507.31 ± 31.20

2997.50 ± 167.10

2116.30 ± 121.4

Nitrate (4%)

5.42 ± 0.23

3.18 ± 0.19

534.09 ± 24.40

3183.10 ± 130.70

2251.10 ± 94.90

p-value

<0.001

0.002

0.004

<0.001

<0.001

Oil levels

         

1.5%

5.35 ± 0.24

3.20 ± 0.15

539.95 ± 19.83

3193.40 ± 124.2

2258.60 ± 90.20

3.0%

5.11 ± 0.14

2.92 ± 0.09

512.06 ± 15.14

3044.00 ± 83.40

2150.10 ± 60.60

4.5%

5.31 ± 0.34

3.24 ± 0.19

527.53 ± 30.63

3126.90 ± 178.7

2210.20 ± 129.8

6.0%

5.15 ± 0.39

2.95 ± 0.22

506.80 ± 38.00

3015.80 ± 214.6

2129.60 ± 155.9

p-value

ns

ns

ns

ns

ns

Interactions

         

U1.5 O1.5

5.15 ± 0.15

3.08 ± 0.09

525.87 ± 15.25

3096.90 ± 81.70

2188.50 ± 59.30

U1.5 O3.0

5.07 ± 0.15

2.88 ± 0.09

512.54 ± 15.82

3025.50 ± 84.70

2136.70 ± 61.60

U1.5 O4.5

5.07 ± 0.27

3.11 ± 0.17

509.10 ± 28.30

3007.00 ± 151.8

2123.20 ± 110.2

U1.5 O6.0

4.93 ± 0.42

2.83 ± 0.24

489.70 ± 44.00

2903.10 ± 235.5

2047.70 ± 171.1

N4.0 O1.5

5.55 ± 0.12

3.31 ± 0.07

554.03 ± 12.52

3289.90 ± 67.10

2328.60 ± 48.70

N4.0 O3.0

5.16 ± 0.14

2.95 ± 0.08

511.58 ± 16.86

3062.50 ± 90.30

2163.50 ± 65.60

N4.0 O4.5

5.55 ± 0.20

3.36 ± 0.13

545.96 ± 21.10

3246.70 ± 113.0

2297.30 ± 82.10

N4.0 O6.0

5.38 ± 0.22

3.07 ± 0.13

523.92 ± 23.15

3128.60 ± 124.0

2211.50 ± 90.00

p-value

0.001

0.001

0.009

0.002

0.002

U1.5 is 1.5% urea level (on DM basic)
C4.0 is 4.0% calcium nitrate level  (on DM basic)
O1.5, O3.0, O4.5 and O6.0 are 1.5%, 3.0%, 4.5% and 6.0%  oil level (on DM basic)

 

Effect of NPN sources on methane emission 

Effect of NPN source on methane emission is shown in table 4 and figure 1. Results show that nitrate reduced significantly methane emission compared with urea by 22 and 24% for total methane emission (117 vs 147 L/day) and for methane emission rate (22 vs 29 L/kg DMI or 37 vs 49 L/kg NDFi). Normally, methane emission increased with level of intake (Giger-Reverdin et al  2000). But in this case, diet supplemented with nitrate that have higher intake emitted lower methane. So, this illustrated the strong effect of nitrate on methane emission.

Table 4: Main statistics of methane emission by different NPN supplement

NPN sources

Total methane emission

Methane emission rate

(L/day)

(L/kg DMI)

(L/kg NDFi)

Urea (1.5%)

147 ± 23.12

29.1 ± 3.96

49.0 ± 6.39

Nitrate (4%)

117 ± 6.87

21.6 ± 1.53

36.8 ± 2.67

p-value

<0.001

<0.001

<0.001

Ascensão (2010) found the nitrate diet produced less methane (expressed by g/kg of DMI) than urea diet (P<0.001), methane production (g/day) was 41.6% lower from bulls fed a nitrate diet than from bulls fed an urea diet (P<0.001). Methane production (% GEI) was 5.6% on urea diet and 3.1% on nitrate diet, resulting in a production of less 41.1% with nitrate diet compared with urea diet (P<0.001). According to Leng (2008), nitrate reduction in anaerobic systems occurs by two distinct pathways: dissimilatory nitrate reduction to ammonia and assimilatory nitrate reduction to ammonia. And NO3 has a higher affinity for H2 than CO2 and, when it is present, H2 is first used in the reduction of NO3 to NO2 and NO2 to NH3 thereby reducing the production of methane from CO2. In fact, 1 mol of nitrate would produce 1 mol of ammonia and reduce methane production by 1mol. As a consequence, nitrate diet reduced strongly methane emission compared with urea in our study.   

 

Figure 1: Effect of NPN supplement on methane emission; U1.5 is 1.5% Urea level (on DM basis); C4.0 is 4.0% Calcium nitrate level  (on DM basis)

Effect of oil levels on methane emission

There was no effect of oil level on methane emissions (Table 5). 

Table 5 : Main statistics of methane emission by oil supplement

Oil levels

 

Total methane emision

 

Methane emission rate

 

(L/day)

 

(L/kg DMI)

(L/kg NDFi)

1.5%

 

144.80 ± 42.00

 

27.37 ± 8.91

45.75 ± 14.60

3.0%

 

124.48 ± 4.36

 

24.35 ± 0.90

40.91 ± 1.46

4.5%

 

136.51 ± 19.09

 

25.93 ± 4.65

43.94 ± 7.57

6.0%

 

123.98 ± 9.27

 

24.16 ± 2.15

41.23 ± 3.37

p-value

 

ns

 

ns

ns

 

Oils may act as hydrogen sinks but excess oil is detrimental to fibre digestion and productions (Machmuller et al  2000).  Excesss oil also cause digestive disorders and depends on animal individual response. As a result, there was no significant difference between different oil levels.   

Interaction effect of NPN and oil on methane emission

When urea was the source of NPN, it appeared that SF oil levels of 3 to 6% resulted in reduction of methane emissions (Table 6; Figure 2). On the other hand, it appeared that nitrate was most effective in reducing methane emissions when the oi llevel was only 1.5%.  

Table 6 :  Main statistics of methane emission by NPN and oil supplement interaction

 

Total methane emision

Methane emission rate

 

(L/day)

(L/kg DMI)

(L/kg NDFi)

       

U1.5 O1.5

183.97 ± 5.01

35.71 ± 0.04

59.40 ± 0.05

U1.5 O3.0

127.32 ± 3.69

25.13 ± 0.02

42.08 ± 0.04

U1.5 O4.5

153.92 ± 7.58

30.38 ± 0.14

51.19 ± 0.07

U1.5 O6.0

129.06 ± 10.2

26.22 ± 0.18

44.46 ± 0.09

N4.0 O1.5

105.60 ± 2.27

19.04 ± 0.00

32.10 ± 0.03

N4.0 O3.0

121.64 ± 3.05

23.57 ± 0.53

39.73 ± 1.13

N4.0 O4.5

119.11 ± 4.14

21.48 ± 0.04

36.69 ± 0.00

N4.0 O6.0

118.90 ± 4.77

22.11 ± 0.03

38.00 ± 0.02

p-value

<0.001

<0.001

<0.001

 

Figure 2: Interaction effect of NPN  and oil on methane emission

 

Energy loss from estimated and measured methane emission

Typically, about 6 to 10% of the total gross energy consumed by ruminants is converted to CH4 and released via the breath (Brouwer et al 1965). Johnson et al  (1993) and Kujawa (1994) found that the energy loss from methane varied from approximately 2 to 12% of GE intake, depending on diet quality.  

Estimates of energy loss from methane emission in the present study are presented in Table 7. The energy loss due to methane emission from diet without supplement, as estimated by equation of Moe and Tyrrell  (1979) varied around 12% of gross energy intake. But the energy loss from diet supplemented with NPN and oil were strongly reduced by 33-62% (52% on average), lowest in diet containing 4% nitrate + 1.5% oil (only 4.56%, 62% reduction) and highest in diet containing 1.5% urea + 1.5% oil (8.5%, 33% reduction).  

Table 7. Comparison of energy loss from estimated and mesuared methane emissions

Variables

 

Total methane emission (L/day)

 

Methane emission rate (L/kg DMI)

 

Energy loss (%)

 

Actual

Moe and Tyrrell

 

Actual

Moe and Tyrel

 

Actual

Moe and Tyrel

NPN sources

                 

Urea (1.5%)

 

147.15 ± 23.12

266.56 ± 10.10

 

29.14 ± 3.96

52.93 ± 1.10

 

6.81 ± 0.986

12.36 ± 0.28

Nitrate (4%)

 

116.85 ± 6.87

277.77 ± 7.90

 

21.60 ± 1.53

51.29 ± 0.80

 

5.09 ± 0.35

12.10 ± 0.28

p-value

 

<0.001

ns

 

<0.001

ns

 

<0.001

ns

Oil levels

                 

1.5%

 

144.80 ± 42.00

278.39 ± 7.50

 

27.37 ± 8.91

52.08 ± 0.99

 

6.52 ± 2.10

12.42 ± 0.19

3.0%

 

124.48 ± 4.36

269.37 ± 5.04

 

24.35 ± 0.90

52.68 ± 0.55

 

5.76 ± 0.16

12.47 ± 0.14

4.5%

 

136.51 ± 19.09

274.37 ± 10.80

 

25.93 ± 4.65

51.78 ± 1.31

 

6.06 ± 1.06

12.11 ± 0.26

6.0%

 

123.98 ± 9.27

267.66 ± 12.97

 

24.16 ± 2.15

52.08 ± 1.65

 

5.59 ± 0.47

12.05 ± 0.33

p-value

 

ns

ns

 

ns

ns

 

ns

0.001

Interactions

                 

U1.5 O1.5

 

183.97 ± 5.01

272.56 ± 4.94

 

35.71 ± 0.04

52.91 ± 0.54

 

8.48 ± 0.014

12.26 ± 0.10

U1.5 O3.0

 

127.32 ± 3.69

268.25 ± 5.12

 

25.13 ± 0.02

52.96 ± 0.57

 

5.90 ± 0.01

12.49 ± 0.16

U1.5 O4.5

 

153.92 ± 7.58

267.13 ± 9.17

 

30.38 ± 0.14

52.75 ± 1.05

 

7.07 ± 0.03

11.94 ± 0.15

U1.5 O6.0

 

129.06 ± 10.22

260.85 ± 14.23

 

26.22 ± 0.18

53.08 ± 1.74

 

6.04 ± 0.03

11.88 ± 0.16

N4.0 O1.5

 

105.60 ± 2.27

284.22 ± 4.05

 

19.04 ± 0.00

51.25 ± 0.38

 

4.56 ± 0.00

12.57 ± 0.14

N4.0 O3.0

 

121.64 ± 3.05

270.49 ± 5.46

 

23.57 ± 0.53

52.41 ± 0.43

 

5.61 ± 0.07

12.45 ± 0.14

N4.0 O4.5

 

119.11 ± 4.14

281.61 ± 6.83

 

21.48 ± 0.04

50.80 ± 0.61

 

5.05 ± 0.01

12.29 ± 0.24

N4.0 O6.0

 

118.90 ± 4.77

274.48 ± 7.49

 

22.11 ± 0.03

51.07 ± 0.72

 

5.14 ± 0.01

12.22 ± 0.38

p-value

 

<0.001

ns

 

<0.001

ns

 

<0.001

ns

 

Table 7. Comparison of energy loss from estimated and mesuared methane emission

   

Total methane emission (L/day)

 

Methane emission rate (L/kg DMI)

 

Energy loss (%)

   

Actual

Moe and Tyrel

 

Actual

Moe and Tyrel

 

Actual

Moe and Tyrel

NPN sources

                 

Urea (1.5%)

 

147.15 ± 23.12

266.56 ± 10.10

 

29.14 ± 3.96

52.93 ± 1.10

 

6.81 ± 0.986

12.36 ± 0.28

Nitrate (4%)

 

116.85 ± 6.87

277.77 ± 7.90

 

21.60 ± 1.53

51.29 ± 0.80

 

5.09 ± 0.35

12.10 ± 0.28

p-value

 

<0.001

ns

 

<0.001

ns

 

<0.001

ns

Oil levels

                 

1.5%

 

144.80 ± 42.00

278.39 ± 7.50

 

27.37 ± 8.91

52.08 ± 0.99

 

6.52 ± 2.10

12.42 ± 0.19

3.0%

 

124.48 ± 4.36

269.37 ± 5.04

 

24.35 ± 0.90

52.68 ± 0.55

 

5.76 ± 0.16

12.47 ± 0.14

4.5%

 

136.51 ± 19.09

274.37 ± 10.80

 

25.93 ± 4.65

51.78 ± 1.31

 

6.06 ± 1.06

12.11 ± 0.26

6.0%

 

123.98 ± 9.27

267.66 ± 12.97

 

24.16 ± 2.15

52.08 ± 1.65

 

5.59 ± 0.47

12.05 ± 0.33

p-value

 

ns

ns

 

ns

ns

 

ns

0.001

Interactions

                 

U1.5 O1.5

 

183.97 ± 5.01

272.56 ± 4.94

 

35.71 ± 0.04

52.91 ± 0.54

 

8.48 ± 0.014

12.26 ± 0.10

U1.5 O3.0

 

127.32 ± 3.69

268.25 ± 5.12

 

25.13 ± 0.02

52.96 ± 0.57

 

5.90 ± 0.01

12.49 ± 0.16

U1.5 O4.5

 

153.92 ± 7.58

267.13 ± 9.17

 

30.38 ± 0.14

52.75 ± 1.05

 

7.07 ± 0.03

11.94 ± 0.15

U1.5 O6.0

 

129.06 ± 10.22

260.85 ± 14.23

 

26.22 ± 0.18

53.08 ± 1.74

 

6.04 ± 0.03

11.88 ± 0.16

N4.0 O1.5

 

105.60 ± 2.27

284.22 ± 4.05

 

19.04 ± 0.00

51.25 ± 0.38

 

4.56 ± 0.00

12.57 ± 0.14

N4.0 O3.0

 

121.64 ± 3.05

270.49 ± 5.46

 

23.57 ± 0.53

52.41 ± 0.43

 

5.61 ± 0.07

12.45 ± 0.14

N4.0 O4.5

 

119.11 ± 4.14

281.61 ± 6.83

 

21.48 ± 0.04

50.80 ± 0.61

 

5.05 ± 0.01

12.29 ± 0.24

N4.0 O6.0

 

118.90 ± 4.77

274.48 ± 7.49

 

22.11 ± 0.03

51.07 ± 0.72

 

5.14 ± 0.01

12.22 ± 0.38

p-value

 

<0.001

ns

 

<0.001

ns

 

<0.001

ns


 

Figure 3: Estimated and mesuared methane emission rate

 

Conclusions

The supplement of nitrate increased significantly DM intake (by 8%) and reduced efficiently methane emission (by 22-24%) compared with urea supplement. the increase in oil level decreased unclearly methane emission. However, supplement of both nitrate and SF oil reduced methane emission by 33-62% compared with theoretically estimated by Moe and Tyrell equation. Best levels of supplement combination for methane reduction were 4% nitrate + 1.5% oil. These findings are really significant for cattle feeding contributing to against global warming.

Acknowledgements

This research was supported by Mekarn project. We thank Mekarn for financial support. Our thanks are also to the technicians of HUA laboratories for assistance with the experiments. We also thank Dr Preston for supervision of the research work.

References

Ascensão A M D 2010. Effects of nitrate and additional effect of probiotic on methane emissions and dry matter intake in Nellore bulls. Universidade de Trás-os-Montes e Alto Douro Departamento de Zootecnia.

Beauchemin K A, Kreuzer F O and McAllister T A 2008. Nutritional management for enteric methane abatement: A review. Aust. J. Exp. Agric., 48: 21-27

Benchaar C, Pomar C and Chiquette J 2001. Evaluation of dietary strategies to reduce methane production in ruminants: A modelling approach. Can. J. Anim. Sci. 81:563–574.

Brouwer E 1965. Report of subcommittee on constants and factors. Proc. 3rd EAAP Symp. on Energy metabolism pp. 441-443. Troon, Publ. 11,Academic Press, London

Faverdin P, M’Hamed D, Rico-gomez M and Vérité R 2003. La nutrition azote´e influence l’ingestion chez la vache laitière. INRA Production Animale 16, 27–37.

Hoover W H and Stokes S R 1991. Balancing carbohydrates and proteins for optimum rumen microbial yield. Journal of Dairy Science 74, 3630–3644.

Johnson I R, Chapman D F, Snow V O, Eckard R J, Parsons A J, Lambert M G and Cullen B R 2008. DairyMod and EcoMod: Biophysical pastoral simulation models for Australia and New Zealand. Aust. J. Exper. Agric., 48: 621-631.

Johnson, K. A., and D. E. Johnson. 1995. Methane emissions from cattle. J. Anim. Sci. 73:2483–2492.

Johnson K A, Kincaid R L, Westberg H H, Gaskins C T, Lamb B K and Cronrath J D 2002. The effects of oil seeds in diets of lactating cows on milk production and methane emissions. J. Dairy Sci., 85: 1509-1515.

Leng R A 2007. The potential of feeding nitrate to reduce enteric methane production in ruminants. A Report of The Department of Climate Change, Commonwealth Government of Australia, Canberra ACT, Australia

Machmuller A, Ossowski D A and Kreuzer M 2000. Comparative evaluation of the effects of coconut oil, oilseeds and crystalline fat on methane release, digestion and energy balance in lambs. Anim. Feed Sci. Technol., 85: 41-60.

Moe P W and H F Tyrrell 1979. Methane production in dairy cows. J. Dairy Sci. 62:1583–1586.

 

Go to top