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1

Basarab, J. A., E. K. Okine, V. S. Baron, T. Marx, P. Ramsey, K. Ziegler, and K. Lyle. "Methane emissions from enteric fermentation in Alberta’s beef cattle population." Canadian Journal of Animal Science 85, no. 4 (December 1, 2005): 501–12. http://dx.doi.org/10.4141/a04-069.

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This study determined methane emissions from enteric fermentation in Alberta’s beef cattle population by using three methodologies: (1) Intergovernmental Panel on Climate Change (IPCC), Tier 2 guidelines for cattle, (2) actual methane emission factors, expressed as a percentage of gross energy intake, from Canadian research trials and; (3) CowBytes© plus the basic equation developed by Blaxter and Clapperton (1965). Methane emissions, in carbon dioxide equivalents (CO2-E), from Alberta’s beef cattle were determined for 1990, 1996 and 2001. Census of Agriculture numbers for Alberta (Statistics Canada; www.statcan.com) were used and beef cattle were subdivided into 31 distinct categories based on animal type, physiological status, gender, weight, growth rate, activity level and age. Emission of greenhouse gases (GHG) from Alberta ’s beef cattle population, based on IPCC Tier 2 guidelines, were 4.93, 6.57 and 7.01 Mt CO2-E yr-1 in 1990, 1996 and 2001, respectively. Emissions based on methane emission factors from Canadian research trials were 6.23, 8.26 and 8.77 Mt CO2-E yr-1 in 1990, 1996 and 2001, respectively. Estimated methane emissions based on CowBytes© and Blaxter and Clapperton’s (1965) equation were 6.24, 8.35 and 8.94 Mt CO2-E yr-1 in 1990, 1996 and 2001, respectively. The IPCC Tier 2 values were 25.2–26.5% lower than the GHG emissions calculated using emission factors from western Canadian research and 26.7–27.6% lower than GHG emissions calculated from CowBytes© and Blaxter and Clapperton’s equation. IPCC Tier 1 values, which were calculated by multiplying total beef cattle in Alberta by four single value emission factors (beef cows = 72 kg CH4 yr-1; bulls = 75 kg CH4 yr-1; replacement heifers = 56 kg CH4 yr-1; calves, steer and heifer calves for slaughter = 47 kg CH4 yr-1), were 4.83, 6.40 and 6.83 Mt CO2-E in 1990, 1996 and 2001, respectively. Thus, IPCC Tier 1 GHG emissions from enteric fermentation in beef cattle were 2.0–2.7, 28.6–29.1 and 29.2–31.0% lower than those calculated from IPCC Tier 2, western Canadian research trials, and CowBytes© plus Blaxter and Clapperton’s equation, respectively. These results reflect the uncertainty associated with estimating methane emissions from enteric fermentation in cattle and suggest that further research is required to improve the accuracy of methane emissions, particularly for beef cows in their second and third trimester of pregnancy and fed in confinement. They also indicate that a more robust methodology may be to combine CowBytes© predicted dry matter intake with regional specific methane emission factors, where methane loss is expressed as a percentage of gross energy intake. Key words: Cattle, enteric fermentation, greenhouse gas, methane
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Garcia-Apaza, E., O. Paz, and I. Arana. "Greenhouse gas emissions from enteric fermentation of livestock in Bolivia: values for 1990 - 2000 and future projections." Australian Journal of Experimental Agriculture 48, no. 2 (2008): 255. http://dx.doi.org/10.1071/ea07247.

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Gas emissions from enteric fermentation of the domestic livestock contribute to greenhouse gas inventories. Farming activities in Bolivia have nearly doubled methane emissions during the past decade. Methane was the second most important greenhouse gas emitted from human activities in Bolivia according the 1990–2000 GHG inventory. Emissions of methane from enteric fermentation of three regions of Bolivia, highland, valley and lowland, were studied. Atmospheric methane concentrations have increased by a factor of 1.1 to 1.3 in response to this increase and continue to rise. The projection of fermentation enteric gas emissions depends on the increase of the livestock, which was assumed for this study to be linear for 2001–2015 with an increment of 2.27%. In this overview, we examine past trends in the emission of methane due to the enteric fermentation and the sources and sinks that determine its growth rate.
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Herliatika, Agustin, and Yeni Widiawati. "Mitigation of Enteric Methane Emission through Feed Modification and Rumen Manipulation." Indonesian Bulletin of Animal and Veterinary Sciences 31, no. 1 (March 30, 2021): 1. http://dx.doi.org/10.14334/wartazoa.v31i1.2706.

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<p class="awabstrak2">The major of gas emission in the livestock sector are in the form of methane produced by microbial activity in the rumen. The emission of methane cause global warming and is predicted to keep increasing. Feed modification and rumen manipulation are important ways that can be used to mitigate methane emission. Based on this condition, this paper aims to describe several ways to mitigate methane emission using feed and rumen modification for smallholder farmers. Feed modification can be done using high Non-Fiber Carbohydrate (NFC) content in feed and also using balance nutrient feed. Meanwhile, rumen modification can be done through inlcusion of feed additive, microbial products, and oils. Providing feed contains high NFC as much as 21.8-53%DM would decrease methane emission by 3.03-28.33%. While providing feed contains balance nutrients would potentially decrease 21.87% of methane emission. Feed additive addition as much as 0.0011-12%DM decreased 0.59-78% of methane emission. Bacterial inclusion as much as 0.7x10<sup>8</sup> – 3,6x10<sup>11</sup>CFU decreased 0- 18.57% of methane emission. Oil or fat inclusion as much as 6%DM decreased 6.02-24.53% of methane emission. A combination of methods can be used to optimize methane mitigation and it can be applicable for farmers to raise their livestock in friendly environment.</p>
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4

Hardan, Ali, Philip C. Garnsworthy, and Matt J. Bell. "Variability in Enteric Methane Emissions among Dairy Cows during Lactation." Animals 13, no. 1 (December 31, 2022): 157. http://dx.doi.org/10.3390/ani13010157.

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The aim of this study was to investigate variability in enteric CH4 emission rate and emissions per unit of milk across lactations among dairy cows on commercial farms in the UK. A total of 105,701 CH4 spot measurements were obtained from 2206 mostly Holstein-Friesian cows on 18 dairy farms using robotic milking stations. Eleven farms fed a partial mixed ration (PMR) and 7 farms fed a PMR with grazing. Methane concentrations (ppm) were measured using an infrared CH4 analyser at 1s intervals in breath samples taken during milking. Signal processing was used to detect CH4 eructation peaks, with maximum peak amplitude being used to derive CH4 emission rate (g/min) during each milking. A multiple-experiment meta-analysis model was used to assess effects of farm, week of lactation, parity, diet, and dry matter intake (DMI) on average CH4 emissions (expressed in g/min and g/kg milk) per individual cow. Estimated mean enteric CH4 emissions across the 18 farms was 0.38 (s.e. 0.01) g/min, ranging from 0.2 to 0.6 g/min, and 25.6 (s.e. 0.5) g/kg milk, ranging from 15 to 42 g/kg milk. Estimated dry matter intake was positively correlated with emission rate, which was higher in grazing cows, and negatively correlated with emissions per kg milk and was most significant in PMR-fed cows. Mean CH4 emission rate increased over the first 9 weeks of lactation and then was steady until week 70. Older cows were associated with lower emissions per minute and per kg milk. Rank correlation for CH4 emissions among weeks of lactation was generally high. We conclude that CH4 emissions appear to change across and within lactations, but ranking of a herd remains consistent, which is useful for obtaining CH4 spot measurements.
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Sejian, Veerasamy, Rattan Lal, Jeffrey Lakritz, and Thaddeus Ezeji. "Measurement and prediction of enteric methane emission." International Journal of Biometeorology 55, no. 1 (September 1, 2010): 1–16. http://dx.doi.org/10.1007/s00484-010-0356-7.

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6

Hristov, Alexander N., Joonpyo Oh, Fabio Giallongo, Tyler W. Frederick, Michael T. Harper, Holley L. Weeks, Antonio F. Branco, et al. "An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production." Proceedings of the National Academy of Sciences 112, no. 34 (July 30, 2015): 10663–68. http://dx.doi.org/10.1073/pnas.1504124112.

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A quarter of all anthropogenic methane emissions in the United States are from enteric fermentation, primarily from ruminant livestock. This study was undertaken to test the effect of a methane inhibitor, 3-nitrooxypropanol (3NOP), on enteric methane emission in lactating Holstein cows. An experiment was conducted using 48 cows in a randomized block design with a 2-wk covariate period and a 12-wk data collection period. Feed intake, milk production, and fiber digestibility were not affected by the inhibitor. Milk protein and lactose yields were increased by 3NOP. Rumen methane emission was linearly decreased by 3NOP, averaging about 30% lower than the control. Methane emission per unit of feed dry matter intake or per unit of energy-corrected milk were also about 30% less for the 3NOP-treated cows. On average, the body weight gain of 3NOP-treated cows was 80% greater than control cows during the 12-wk experiment. The experiment demonstrated that the methane inhibitor 3NOP, applied at 40 to 80 mg/kg feed dry matter, decreased methane emissions from high-producing dairy cows by 30% and increased body weight gain without negatively affecting feed intake or milk production and composition. The inhibitory effect persisted over 12 wk of treatment, thus offering an effective methane mitigation practice for the livestock industries.
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7

Hristov, Alexander N. "347 Enteric Methane: Current Measurement and Assessment Techniques." Journal of Animal Science 99, Supplement_3 (October 8, 2021): 194–95. http://dx.doi.org/10.1093/jas/skab235.351.

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Abstract Enteric methane (ECH4) emissions from ruminants can be measured directly or indirectly using various techniques and recent reviews have discussed advantages and disadvantages of these techniques. The GLOBAL NETWORK project (GN; an international consortium of animal scientists) examined techniques for measuring ECH4, including respiration chambers, the sulfur hexafluoride tracer (SF6) technique, and techniques based on short-term measurements of gas concentrations in samples of exhaled air. The latter category includes automated head chambers (i.e., the GreenFeed system; GF), use of carbon dioxide as a marker, and (handheld) laser methane detection. The conclusion from this analysis was that “there is no ‘one size fits all’ method for measuring ECH4 emission by individual animals” and appropriate and frequent calibrations and recovery tests are necessary with all methods. The team also concluded that the need for screening large numbers of animals (for example, for genomic studies), does not justify the use of measurement methods that are inaccurate. Timing of sampling/data collection is critical for the spot-sampling techniques, such as GF. It is a well-established fact that ECH4 emission is closely related to animal’s dry matter intake (DMI) and feeding patterns. Therefore, data collection using GF has to be sufficiently long and frequent, during both day and night hours, to fully represent the diurnal patter of ECH4 emission. The in vitro gas production and analysis technique can be used to screen feed additives or other ECH4 mitigation treatments, but data must be always confirmed/supported by animal (preferably long-term) studies. ECH4 emission can be also predicted based on dietary or animal variables. Large databases developed by the GN project have confirmed that DMI is driving ECH4, but other factors, such as dietary neutral detergent fiber, milk yield and composition (dairy cows), or dietary forage inclusion and animal’s body weight (beef cattle) can improve prediction accuracy.
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8

Million, Tadesse, Getahun Kefale, and Galmessa Ulfina. "Estimation of enteric methane emission factor in cattle species in Ethiopia using IPCC tier 2 methodology." Annals of Environmental Science and Toxicology 6, no. 1 (March 12, 2022): 013–18. http://dx.doi.org/10.17352/aest.000047.

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Aims: The livestock production system contributes to global climate change directly through the production of methane (CH4) from enteric fermentation, CH4 and nitrous oxide (N2O) from manure management. Enteric CH4 emission from livestock is the major contributor to greenhouse gas (GHG) emission from livestock in Ethiopia. National inventory and reporting of enteric CH4 emission in cattle species in Ethiopia are based on default emission factor (tier 1 methodology) developed by Intergovernmental Panel on Climate Change (IPCC). These enteric CH4 emissions are influenced by different factors such as livestock feed characteristics, livestock management, and livestock production and productivity. Hence, its estimation requires accurate data specific to the condition of the livestock production system in the country. The objective of this study was to estimate enteric CH4 emission from cattle species in Ethiopia. Methodology: Enteric CH4 emission was estimated using IPCC tier 2 methods using input data collected through survey and literature data on livestock and feed characteristics in Ethiopia. Results: Results indicated that enteric CH4 emission factors among indigenous cattle were 30.27, 18.52, 31.55, 29.82, 32.48, and 12.60 kg per head per year for matured females >2 years old, females 1-2 years, bullocks/oxen, breeding bulls >2 years old, males 1-2 years and calves <1 year’s old, respectively. Among crossbred dairy cattle, enteric CH4 emission factors were found to be 36.21, 19.98, 27.90, 25.51, 5.45 kg per head per year for matured females >2 years, females 1-2 years, matured males >2 years, males 1-2 years and calves <1 year’s age, respectively. The weighted average CH4 emission factor for indigenous cattle and crossbred dairy cattle were 26 and 30.71kg/head/year, respectively. Conclusion: Enteric CH4 emission factors for nondairy indigenous and crossbred cattle using IPCC tier 2 methodology were lower when compared to IPCC tier 1 estimate. Our study recommends IPCC tier 2 methodology, for national enteric CH4 emission inventory and reporting for cattle species in Ethiopia. The present study was based on limited survey and published data, uncertainties may have presented with, some of production and performance data. Further research is required to estimate enteric CH4 emission using more detailed cattle production and feed characterization data.
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Sun, Xuezhao, David Pacheco, and Dongwen Luo. "Forage brassica: a feed to mitigate enteric methane emissions?" Animal Production Science 56, no. 3 (2016): 451. http://dx.doi.org/10.1071/an15516.

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A series of experiments was conducted in New Zealand to evaluate the potential of forage brassicas for mitigation of enteric methane emissions. Experiments involved sheep and cattle fed winter and summer varieties of brassica forage crops. In the sheep-feeding trials, it was demonstrated that several species of forage brassicas can result, to a varying degree, in a lower methane yield (g methane per kg of DM intake) than does ryegrass pasture. Pure forage rape fed as a winter crop resulted in 37% lower methane yields than did pasture. Increasing the proportion of forage rape in the diet of sheep fed pasture linearly decreased methane yield. Feeding forage rape to cattle also resulted in 44% lower methane yield than did feeding pasture. In conclusion, reductions in methane emission are achievable by feeding forage brassicas, especially winter forage rape, to sheep and cattle. Investigating other aspects of these crops is warranted to establish their value as a viable mitigation tool in pastoral farming.
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Villanueva, Cristóbal, Muhammad Ibrahim, and Cristina Castillo. "Enteric Methane Emissions in Dairy Cows with Different Genetic Groups in the Humid Tropics of Costa Rica." Animals 13, no. 4 (February 17, 2023): 730. http://dx.doi.org/10.3390/ani13040730.

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Enteric methane (CH4) is one of the main greenhouse gases emitted in livestock production systems with ruminants. Among the options to reduce such emissions, animal genetics is one of the factors that is taking relevance in recent years. The aim of the present study was to assess the emission of enteric CH4 in dairy cows with different genetic backgrounds. Sixteen cows belonging to the following three genetic groups were selected for this study: seven F1 (50% Jersey × 50% Gyr), five Triple cross (50% Jersey × 31% Holstein × 19% Sahiwal) and four Jersey. Enteric CH4 emissions were measured in all cows for 15 months, at the middle of each month, using the SF6 technique. Enteric CH4 emissions did not differ (p > 0.05) among genetic groups, although it varied with the stage of lactation, due to differences in milk yield and dry matter intake (DMI). Pasture DMI and the intensity of CH4 emissions (g kg−1 DMI) differed (p < 0.05) between dry and lactating cows, with higher DMI in the lactation period, while CH4 emission intensity was higher for dry cows. Cows with the highest proportion of Bos taurus genes presented a higher annual mean methane conversion factor (Ym), with 7.22, 7.05 and 5.90% for the Triple cross, purebred Jersey and F1, respectively. In conclusion, non-significant differences in enteric CH4 emissions and Ym were detected among dairy cows with different genetic backgrounds. However, F1 cows tended to show lower enteric CH4 emission and Ym, compared to those with more Bos taurus genes.
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11

Sakamoto, Leandro Sannomiya, Luana Lelis Souza, Sarah Bernardes Gianvecchio, Matheus Henrique Vargas de Oliveira, Josineudson Augusto II de Vasconcelos Silva, Roberta Carrilho Canesin, Renata Helena Branco, et al. "Phenotypic association among performance, feed efficiency and methane emission traits in Nellore cattle." PLOS ONE 16, no. 10 (October 14, 2021): e0257964. http://dx.doi.org/10.1371/journal.pone.0257964.

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Enteric methane (CH4) emissions are a natural process in ruminants and can result in up to 12% of energy losses. Hence, decreasing enteric CH4 production constitutes an important step towards improving the feed efficiency of Brazilian cattle herds. The aim of this study was to evaluate the relationship between performance, residual feed intake (RFI), and enteric CH4 emission in growing Nellore cattle (Bos indicus). Performance, RFI and CH4 emission data were obtained from 489 animals participating in selection programs (mid-test age and body weight: 414±159 days and 356±135 kg, respectively) that were evaluated in 12 performance tests carried out in individual pens (n = 95) or collective paddocks (n = 394) equipped with electronic feed bunks. The sulfur hexafluoride tracer gas technique was used to measure daily CH4 emissions. The following variables were estimated: CH4 emission rate (g/day), residual methane emission and emission expressed per mid-test body weight, metabolic body weight, dry matter intake (CH4/DMI), average daily gain, and ingested gross energy (CH4/GE). Animals classified as negative RFI (RFI<0), i.e., more efficient animals, consumed less dry matter (P <0.0001) and emitted less g CH4/day (P = 0.0022) than positive RFI animals (RFI>0). Nonetheless, more efficient animals emitted more CH4/DMI and CH4/GE (P < 0.0001), suggesting that the difference in daily intake between animals is a determinant factor for the difference in daily enteric CH4 emissions. In addition, animals classified as negative RFI emitted less CH4 per kg mid-test weight and metabolic weight (P = 0.0096 and P = 0.0033, respectively), i.e., most efficient animals could emit less CH4 per kg of carcass. In conclusion, more efficient animals produced less methane when expressed as g/day and per kg mid-test weight than less efficient animals, suggesting lower emissions per kg of carcass produced. However, it is not possible to state that feed efficiency has a direct effect on enteric CH4 emissions since emissions per kg of consumed dry matter and the percentage of gross energy lost as CH4 are higher for more efficient animals.
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Sakamoto, Leandro Sannomiya, Luana Lelis Souza, Sarah Bernardes Gianvecchio, Matheus Henrique Vargas de Oliveira, Josineudson Augusto II de Vasconcelos Silva, Roberta Carrilho Canesin, Renata Helena Branco, et al. "Phenotypic association among performance, feed efficiency and methane emission traits in Nellore cattle." PLOS ONE 16, no. 10 (October 14, 2021): e0257964. http://dx.doi.org/10.1371/journal.pone.0257964.

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Enteric methane (CH4) emissions are a natural process in ruminants and can result in up to 12% of energy losses. Hence, decreasing enteric CH4 production constitutes an important step towards improving the feed efficiency of Brazilian cattle herds. The aim of this study was to evaluate the relationship between performance, residual feed intake (RFI), and enteric CH4 emission in growing Nellore cattle (Bos indicus). Performance, RFI and CH4 emission data were obtained from 489 animals participating in selection programs (mid-test age and body weight: 414±159 days and 356±135 kg, respectively) that were evaluated in 12 performance tests carried out in individual pens (n = 95) or collective paddocks (n = 394) equipped with electronic feed bunks. The sulfur hexafluoride tracer gas technique was used to measure daily CH4 emissions. The following variables were estimated: CH4 emission rate (g/day), residual methane emission and emission expressed per mid-test body weight, metabolic body weight, dry matter intake (CH4/DMI), average daily gain, and ingested gross energy (CH4/GE). Animals classified as negative RFI (RFI<0), i.e., more efficient animals, consumed less dry matter (P <0.0001) and emitted less g CH4/day (P = 0.0022) than positive RFI animals (RFI>0). Nonetheless, more efficient animals emitted more CH4/DMI and CH4/GE (P < 0.0001), suggesting that the difference in daily intake between animals is a determinant factor for the difference in daily enteric CH4 emissions. In addition, animals classified as negative RFI emitted less CH4 per kg mid-test weight and metabolic weight (P = 0.0096 and P = 0.0033, respectively), i.e., most efficient animals could emit less CH4 per kg of carcass. In conclusion, more efficient animals produced less methane when expressed as g/day and per kg mid-test weight than less efficient animals, suggesting lower emissions per kg of carcass produced. However, it is not possible to state that feed efficiency has a direct effect on enteric CH4 emissions since emissions per kg of consumed dry matter and the percentage of gross energy lost as CH4 are higher for more efficient animals.
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13

Klieve, Athol V. "Microbial contribution to and amelioration of enteric methane emissions from domestic herbivores." Microbiology Australia 30, no. 2 (2009): 82. http://dx.doi.org/10.1071/ma09082.

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Global climate change is a major issue currently facing the international community. The primary cause of climate change arises from the human-induced increase in emission of the ?greenhouse? gases, primarily carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). In animal agriculture, CH4 and N2O emissions predominate, especially CH4. The largest source of CH4 in the world is enteric methane from livestock (cattle and sheep), with enteric CH4 accounting for 28% of total methane emissions. In countries reliant on agriculture for export earnings, such as Australia and New Zealand, enteric CH4 is the major greenhouse gas from the agriculture sector and a significant contributor to total emissions (50% of New Zealand?s and 14% of Australia?s). Reducing CH4 emissions is highly advantageous in delivering climate benefits in the shorter-term as CH4 has a high radiative forcing potential (21 times that of CO2) but a short atmospheric life (about 10 years), compared to 100 years for CO2.
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Sari, Nurul Fitri, Partha Ray, Caroline Rymer, Kirsty E. Kliem, and Sokratis Stergiadis. "Garlic and Its Bioactive Compounds: Implications for Methane Emissions and Ruminant Nutrition." Animals 12, no. 21 (October 31, 2022): 2998. http://dx.doi.org/10.3390/ani12212998.

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Methane (CH4) emission from enteric fermentation of ruminant livestock is a source of greenhouse gases (GHG) and has become a significant concern for global warming. Enteric methane emission is also associated with poor feed efficiency. Therefore, research has focused on identifying dietary mitigation strategies to decrease CH4 emissions from ruminants. In recent years, plant-derived bioactive compounds have been investigated for their potential to reduce CH4 emissions from ruminant livestock. The organosulphur compounds of garlic have been observed to decrease CH4 emission and increase propionate concentration in anaerobic fermentations (in vitro) and in the rumen (in vivo). However, the mode of action of CH4 reduction is not completely clear, and the response in vivo is inconsistent. It might be affected by variations in the concentration and effect of individual substances in garlic. The composition of the diet that is being fed to the animal may also contribute to these differences. This review provides a summary of the effect of garlic and its bioactive compounds on CH4 emissions by ruminants. Additionally, this review aims to provide insight into garlic and its bioactive compounds in terms of enteric CH4 mitigation efficacy, consistency in afficacy, possible mode of action, and safety deriving data from both in vivo and in vitro studies.
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Kebreab, Ermias, Mallory Honan, Breanna Roque, and Juan Tricarico. "245 Greenhouse Gas Emissions Mitigation Strategies." Journal of Animal Science 99, Supplement_3 (October 8, 2021): 195–96. http://dx.doi.org/10.1093/jas/skab235.353.

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Abstract Livestock production contributed 3.9% to the total greenhouse gas (GHG) emission from the US in 2018. Most studies to mitigate GHG from livestock are focused on enteric methane because it contributes about 70% of all livestock GHG emissions. Mitigation options can be broadly categorized into dietary and rumen manipulation. Enteric methane emissions are strongly correlated to dry matter intake and somewhat sensitive to diet composition. Dietary manipulation methods include increasing feed digestibility, such as concentrate to forage ratio, or increasing fats and oils, which are associated with lower methane emissions. These reduce digestible fiber that are positively related to methane production and more energy passing the rumen without being degraded, respectively. Rumen manipulation through feed additives can be further classified based on the mode of action: 1. rumen environment modifiers indirectly affecting emissions and 2. direct methanogenesis inhibitors. The rumen environment modifiers act on the conditions that promote methanogenesis. These include ionophores, plant bioactive compounds such as essential oils and tannins, and nitrate rich feeds that serve as alternative hydrogen sinks and directly compete with methanogens thereby reducing methane emissions. The inhibitor category include 3-nitroxypropanol and seaweeds containing halogenated compounds. The former was reported to reduce enteric methane emissions (g/d) by 39% in dairy and 22% in beef cattle. Seaweed, in particular Asparagopsis spp., reduced emissions intensity (g/kg milk) by up to 67% in dairy and emissions yield (g/kg dry matter intake) by up to 98% in beef cattle. Because inhibitors are structural analogs of methane, their mode of action is through competitive inhibition of the methyl transfer reaction catalyzed by methyl coenzyme-M reductase, the last enzyme in methanogenesis. The combination of dietary and rumen manipulation options, including feed additives, is expected to reduce enteric methane emissions by over 30% in the next decade without compromising animal productivity and health.
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Canul-Solis, Jorge, María Campos-Navarrete, Angel Piñeiro-Vázquez, Fernando Casanova-Lugo, Marcos Barros-Rodríguez, Alfonso Chay-Canul, José Cárdenas-Medina, and Luis Castillo-Sánchez. "Mitigation of Rumen Methane Emissions with Foliage and Pods of Tropical Trees." Animals 10, no. 5 (May 13, 2020): 843. http://dx.doi.org/10.3390/ani10050843.

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Methane produced by enteric fermentation contributes to the emission of greenhouse gases (GHG) into the atmosphere. Methane is one of the GHG resulting from anthropogenic activities with the greater global warming contribution. Ruminant production systems contribute between 18% and 33% of methane emissions. Due to this, there has been growing interest in finding feed alternatives which may help to mitigate methane production in the rumen. The presence of a vast range of secondary metabolites in tropical trees (coumarins, phenols, tannins, and saponins, among others) may be a valuable alternative to manipulate rumen fermentation and partially defaunate the rumen, and thus reduce enteric methane production. Recent reports suggest that it is possible to decrease methane emissions in sheep by up to 27% by feeding them saponins from the tea leaves of Camellia sinensis; partial defaunation (54%) of the rumen has been achieved using saponins from Sapindus saponaria. The aim of this review was to collect, analyze, and interpret scientific information on the potential of tropical trees and their secondary metabolites to mitigate methane emissions from ruminants.
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Todd, Richard W., Corey Moffet, James P. S. Neel, Kenneth E. Turner, Jean L. Steiner, and N. Andy Cole. "Enteric Methane Emissions of Beef Cows Grazing Tallgrass Prairie Pasture on the Southern Great Plains." Transactions of the ASABE 62, no. 6 (2019): 1455–65. http://dx.doi.org/10.13031/trans.13341.

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HighlightsEnteric methane (CH4) from beef cows on pasture was measured over three seasons using three methods.Methods yielded similar results during the summer grazing season but diverged in autumn and winter seasons.Emission averaged 0.34, 0.27, and 0.29 kg CH4 cow-1 during lactation, mid-gestation, and late gestation, respectively.Annualized enteric methane emission rate for a beef cow herd grazing tallgrass prairie was 0.32 kg d-1 cow-1.Abstract. Methane (CH4) is an important greenhouse gas, and about 20% of the carbon dioxide equivalent (CO2e) greenhouse gases emitted by U.S. agriculture are attributed to enteric CH4 produced by grazing beef cattle. Grazing cattle are mobile point sources of methane and present challenges to quantifying the enteric methane emission rate (MER). In this study, we applied three methods to measure herd-scale and individual-animal MER for a herd of beef cows grazing a native tallgrass prairie: a point source method that used forward-mode dispersion analysis and open-path lasers and cow locations, an open chamber breath analysis system (GreenFeed), and an eddy covariance ratio method that used the ratio of CH4 and CO2 mass fluxes. Three campaigns were conducted during the early season (July), late season (October), and dormant season (February). The point source and GreenFeed methods yielded similar MER (±SD) values during the early season campaign: 0.38 ±0.04 and 0.34 ±0.05 kg d-1 cow-1, respectively. However, the MER values from the two methods diverged in subsequent seasons. The GreenFeed MER decreased through the late and dormant seasons to 0.23 ±0.03 and 0.19 ±0.03 kg d-1 cow-1, respectively. In contrast, the point source MER stayed the same during the late season and increased during the dormant season to 0.41 ±0.07 kg d-1 cow-1. The CH4:CO2 ratio method, which was used only during the dormant season, yielded a MER of 0.29 ±0.05 kg d-1 cow-1. The point source and GreenFeed methods measured different MER (integrated herd-scale versus a subset of individual animals) and likely sampled methane emissions at different times during the day. We conclude that the point source method tended to overestimate emissions, and the GreenFeed method tended to underestimate emissions. Enteric methane emissions from beef cows over the three grazing seasons averaged 0.39 and 0.25 kg d-1 cow-1 as measured by the point source and GreenFeed methods, respectively. An annualized enteric MER for a beef cow herd grazing tallgrass prairie was 0.32 kg d-1 cow-1. Quantifying enteric methane emissions from grazing beef cows remains a challenge because of the mobile, often dispersed behavior of grazing cattle and the dynamic interactions of forage quality, dry matter intake, and changing physiological state of cows during the year. Keywords: Beef cows, Enteric methane, Forage quality, Grazing, Tallgrass prairie.
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Ominski, K. H., D. A. Boadi, K. M. Wittenberg, D. L. Fulawka, and J. A. Basarab. "Estimates of enteric methane emissions from cattle in Canada using the IPCC Tier-2 methodology." Canadian Journal of Animal Science 87, no. 3 (September 1, 2007): 459–67. http://dx.doi.org/10.4141/cjas06034.

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The objective of this study was to estimate enteric methane (CH4) emissions of the Canadian cattle population using the International Panel on Climate Change (IPCC) Tier-2 methodology. Estimates were then compared with IPCC Tier-1 methodology and data from Canadian research studies (CRS). Animal inventory data for the Canadian beef and dairy cattle herd was obtained from Statistics Canada. Information on cattle performance and feeding practices were obtained from provincial cattle specialists via a survey, as well as various published reports. Methane emissions from dairy and beef cattle in Canada for 2001 were 173 030 t yr-1 or 3.6 Mt CO2 eq. and 763 852 t yr-1 or 16.0 Mt CO2 eq., respectively, using Tier-2 methodology. Emissions for dairy cattle ranged from 708 t yr-1 in Newfoundland to 62 184 t yr-1 in Ontario. Emissions for beef cattle ranged from 191 t yr-1 in Newfoundland to 356 345 t yr-1 in Alberta. The national emission factors (kg CH4 yr-1) using IPCC Tier-2 were 73, 126, 90, 94, 40, 75, 63 and 56 for dairy heifers, dairy cows, beef cows, bulls, calves < 1yr, beef heifer replacements, heifers > 1 yr, and steers > 1yr, respectively. Emission factors (kg CH4 yr-1) for the above classes of cattle using IPCC Tier-1 were 56, 118, 72, 75, 47, 56, 47 and 47, respectively. The values were 15.1% higher to 25.3% lower than those obtained using IPCC Tier-2 methodology. When IPCC Tier-2 emission factors were compared with CRS, they were 12.3% lower to 32.6% higher than those obtained using the Tier-2 methodology. In conclusion, national estimates of enteric emissions from the Canadian cattle industry using Tier-1 and Tier-2 methodologies, as well as CRS, differ depending on the methodology used. Tier-2 methodology does allow for the inclusion of information other than population data, including feeding strategies, as well as duration of time in a given production environment. Additional research is required to establish the extent to which feed energy is converted to methane for those production scenarios for which there is no published data. Key words: IPCC Tier-2, IPCC Tier-1, enteric fermentation, cattle, methane, emission factor, methane conversion rate
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Zhao, Yiguang, Xuemei Nan, Liang Yang, Shanshan Zheng, Linshu Jiang, and Benhai Xiong. "A Review of Enteric Methane Emission Measurement Techniques in Ruminants." Animals 10, no. 6 (June 8, 2020): 1004. http://dx.doi.org/10.3390/ani10061004.

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To identify relationships between animal, dietary and management factors and the resulting methane (CH4) emissions, and to identify potential mitigation strategies for CH4 production, it is vital to develop reliable and accurate CH4 measurement techniques. This review outlines various methods for measuring enteric CH4 emissions from ruminants such as respiration chambers (RC), sulphur hexafluoride (SF6) tracer, GreenFeed, sniffer method, ventilated hood, facemask, laser CH4 detector and portable accumulation chamber. The advantages and disadvantages of these techniques are discussed. In general, RC, SF6 and ventilated hood are capable of 24 h continuous measurements for each individual animal, providing accurate reference methods used for research and inventory purposes. However, they require high labor input, animal training and are time consuming. In contrast, short-term measurement techniques (i.e., GreenFeed, sniffer method, facemask, laser CH4 detector and portable accumulation chamber) contain additional variations in timing and frequency of measurements obtained relative to the 24 h feeding cycle. However, they are suitable for large-scale measurements under commercial conditions due to their simplicity and high throughput. Successful use of these techniques relies on optimal matching between the objectives of the studies and the mechanism of each method with consideration of animal behavior and welfare. This review can provide useful information in selecting suitable techniques for CH4 emission measurement in ruminants.
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Christie, K. M., R. P. Rawnsley, C. Phelps, and R. J. Eckard. "Revised greenhouse-gas emissions from Australian dairy farms following application of updated methodology." Animal Production Science 58, no. 5 (2018): 937. http://dx.doi.org/10.1071/an16286.

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Every year since 1990, the Australian Federal Government has estimated national greenhouse-gas (GHG) emissions to meet Australia’s reporting commitments under the United National Framework Convention on Climate Change (UNFCCC). The National Greenhouse Gas Inventory (NGGI) methodology used to estimate Australia’s GHG emissions has altered over time, as new research data have been used to improve the inventory emission factors and algorithms, with the latest change occurring in 2015 for the 2013 reporting year. As measuring the GHG emissions on farm is expensive and time-consuming, the dairy industry is reliant on estimating emissions using tools such as the Australian Dairy Carbon Calculator (ADCC). The present study compared the emission profiles of 41 Australian dairy farms with ADCC using the old (pre-2015) and new (post-2015) NGGI methodologies to examine the impact of the changes on the emission intensity across a range of dairy-farm systems. The estimated mean (±s.d.) GHG emission intensity increased by 3.0%, to 1.07 (±0.02) kg of carbon dioxide equivalents per kilogram of fat-and-protein-corrected milk (kg CO2e/kg FPCM). When comparing the emission intensity between the old and new NGGI methodologies at a regional level, the change in emission intensity varied between a 4.6% decrease and 10.4% increase, depending on the region. When comparing the source of emissions between old and new NGGI methodologies across the whole dataset, methane emissions from enteric fermentation and waste management both increased, while nitrous oxide emissions from waste management and nitrogen fertiliser management, CO2 emissions from energy consumption and pre-farm gate (supplementary feed and fertilisers) emissions all declined. Enteric methane remains a high source of emissions and so will remain a focus for mitigation research. However, these changes to the NGGI methodology have highlighted a new ‘hotspot’ in methane from manure management. Researchers and farm managers will have greater need to identify and implement practices on-farm to reduce methane losses to the environment.
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KARIMI-ZINDASHTY, Y., J. D. MACDONALD, R. L. DESJARDINS, D. E. WORTH, J. J. HUTCHINSON, and X. P. C. VERGÉ. "Sources of uncertainty in the IPCC Tier 2 Canadian livestock model." Journal of Agricultural Science 150, no. 5 (December 19, 2011): 556–69. http://dx.doi.org/10.1017/s002185961100092x.

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SUMMARYEstimates of uncertainties are essential when comparing the greenhouse gas (GHG) emissions from a variety of sources. Monte Carlo Simulation (MCS) was applied to estimate the uncertainties in methane emissions and the methane emission intensities from livestock in Canada, calculated using the Intergovernmental Panel on Climate Change (IPCC) methodology. National methane emissions from enteric fermentation and manure management in 2008 were 21·2 and 4·3 Teragram CO2 equivalents (Tg CO2e) with uncertainties of 38 and 73%, respectively. The methane emission intensities (kg of CO2e per kg of live animal weight) were 5·9, 0·9 and 4·9 from Canadian beef, swine and lamb, respectively, with overall uncertainties of 44, 99 and 101%, defined as the 95% confidence interval relative to the mean. A sensitivity analysis demonstrated that IPCC default parameters such as the methane conversion rate (Ym), the coefficient for calculating net energy for maintenance (Cfi) and the methane conversion factor (MCF) were the greatest sources of uncertainty. Canadian agricultural methane emissions are usually calculated by province and by animal subcategories. However, the IPCC default parameters can be assumed to be correlated among regions and animal subcategories; therefore values are assigned at the national scale for the main cattle categories (dairy and non-dairy cattle). When it was assumed that these parameters were uncorrelated at the regional scale, the overall uncertainties were reduced to 20 and 48% for enteric fermentation and manure management, respectively, and assuming that parameters were uncorrelated at the animal subcategory scale reduced uncertainties to 13 and 41% for enteric fermentation and manure management, respectively. When the uncertainty is assigned at the most disaggregated level, even doubling the uncertainty of key parameters such as Ym and Cfi, only increased the national uncertainties to 22 and 52% for enteric fermentation and manure management, respectively. The current analysis demonstrated the importance of obtaining parameters specific to regions and animal subcategories in order to estimate GHG emissions more accurately and to reduce the uncertainties in agricultural GHG inventories. It also showed that assumptions made in the calculation of uncertainties can have a large influence on the uncertainty estimates.
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Wahyono, T., S. Widodo, A. Kurniawati, Y. N. Anggraeny, Y. Widiawati, M. N. Rofiq, A. Herliatika, D. Priyoatmojo, A. R. Syahputra, and W. T. Sasongko. "Green medicated supplement (Green MS) can reduce enteric methane emission from forage-based ruminant rations: In vitro study." IOP Conference Series: Earth and Environmental Science 1133, no. 1 (January 1, 2023): 012058. http://dx.doi.org/10.1088/1755-1315/1133/1/012058.

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Abstract About 25% of the anthropogenic methane emissions are due to ruminal fermentation from ruminant livestock. Green medicated supplement (Green MS) is a prototype herb and slow-release urea-based supplement to reduce methane emissions from livestock. This experiment aimed to evaluate the methane emission and digestibility of forage-based rations supplemented with Green MS. This study examines six forages (palm oil leaves, rice straw, Napier grass, sugarcane leaves, native grass and maize straw). That six forages were supplemented with Green MS. The total treatments were 12, with four replications. A completely randomized design was applied in this study. Besides native grass, Green MS can reduce in vitro enteric methane by 0.23 - 3.05 ml/200 mg DM (P < 0.05). However, Green MS did not change the value of all forage’s optimum gas production (a+b). It is interesting to note that gas production from non-soluble fibre (GPNSF) could be enhanced with Green MS in maize straw and native grass (P < 0.05). The response to supplements varies depending on the utilization of the feed substrate in incubation. In conclusion, without affecting feed digestibility, Green MS supplementation could lower enteric methane emissions.
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Min, Byeng-Ryel, Seul Lee, Hyunjung Jung, Daniel N. Miller, and Rui Chen. "Enteric Methane Emissions and Animal Performance in Dairy and Beef Cattle Production: Strategies, Opportunities, and Impact of Reducing Emissions." Animals 12, no. 8 (April 7, 2022): 948. http://dx.doi.org/10.3390/ani12080948.

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Enteric methane (CH4) emissions produced by microbial fermentation in the rumen resulting in the emission of greenhouse gases (GHG) into the atmosphere. The GHG emissions reduction from the livestock industry can be attained by increasing production efficiency and improving feed efficiency, by lowering the emission intensity of production, or by combining the two. In this work, information was compiled from peer-reviewed studies to analyze CH4 emissions calculated per unit of milk production, energy-corrected milk (ECM), average daily gain (ADG), dry matter intake (DMI), and gross energy intake (GEI), and related emissions to rumen fermentation profiles (volatile fatty acids [VFA], hydrogen [H2]) and microflora activities in the rumen of beef and dairy cattle. For dairy cattle, there was a positive correlation (p < 0.001) between CH4 emissions and DMI (R2 = 0.44), milk production (R2 = 0.37; p < 0.001), ECM (R2 = 0.46), GEI (R2 = 0.50), and acetate/propionate (A/P) ratio (R2 = 0.45). For beef cattle, CH4 emissions were positively correlated (p < 0.05–0.001) with DMI (R2 = 0.37) and GEI (R2 = 0.74). Additionally, the ADG (R2 = 0.19; p < 0.01) and A/P ratio (R2 = 0.15; p < 0.05) were significantly associated with CH4 emission in beef steers. This information may lead to cost-effective methods to reduce enteric CH4 production from cattle. We conclude that enteric CH4 emissions per unit of ECM, GEI, and ADG, as well as rumen fermentation profiles, show great potential for estimating enteric CH4 emissions.
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Machado, Juliana Medianeira, Eder Alexandre Minsk da Motta, Marlon Risso Barbosa, Roberto Luis Weiler, Annamaria Mills, Fernando Ongaratto, Fabiana Moro Maidana, Paula Montagner, Dinah Pereira Abbott Rodrigues, and Diógenes Cecchin Silveira. "Strategies to mitigate the emission of methane in pastures: enteric methane: A review." JUNE 2022, no. 16(06):2022 (June 1, 2022): 682–90. http://dx.doi.org/10.21475/ajcs.22.16.06.p3457.

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The global population reached 7.9 billion in 2021, which represents a 160% increase in the number of people to be fed since 1960. Agricultural systems must sustainably meet food demand for this growing population while minimizing or mitigating potential environmental impacts, which are of growing concern to both consumers and the scientific community. High protein animal products (meat and milk) play a crucial part in human nutrition and pastures represent ~20% of the planet’s surface. Pastoral areas have a great influence on both ecological balance and human subsistence. Ruminant livestock production systems are hotly debated because of the emission of methane, which is produced during enteric fermentation of ingested food within the rumen. Methanogenesis is a naturally occurring process in the digestive system of ruminant animals and ingesting a high-quality diet has been shown to reduce methane production. An additional function of pastoral grasslands is the capacity of the soils to operate as carbon sinks. Well managed pastures absorb carbon from the atmosphere where it can add to soil organic matter directly, through residue decomposition or excrement returns. However, in Brazil and globally, the efficiency of animal productivity tends to be lower in extensively grazed farming systems. Changes to pasture and grazing management in combination with the adoption of technology is necessary to improve the quality of pastures, increase animal productivity, and consequently reduce methane emissions from ruminant livestock. This review will discuss how to improve the conversion efficiency using pasture management to reduce or mitigate enteric methane production.
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Bannink, A., D. Warner, B. Hatew, J. L. Ellis, and J. Dijkstra. "Quantifying effects of grassland management on enteric methane emission." Animal Production Science 56, no. 3 (2016): 409. http://dx.doi.org/10.1071/an15594.

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Data on the effect of grassland management on the nutritional characteristics of fresh and conserved grass, and on enteric methane (CH4) emission in dairy cattle, are sparse. In the present study, an extant mechanistic model of enteric fermentation was evaluated against observations on the effect of grassland management on CH4 emission in three trials conducted in climate-controlled respiration chambers. Treatments were nitrogen fertilisation rate, stage of maturity of grass and level of feed intake, and mean data of a total of 18 treatments were used (4 grass herbage treatments and 14 grass silage treatments). There was a wide range of observed organic matter (OM) digestibility (from 68% to 84%) and CH4 emission intensity (from 5.6% to 7.3% of gross energy intake; from 27.4 to 36.9 g CH4/kg digested OM; from 19.7 to 24.6 g CH4/kg dry matter) among treatment means. The model predicted crude protein, fibre and OM digestibility with reasonable accuracy (root of mean square prediction errors as % of observed mean, RMSPE, 6.8%, 7.5% and 3.9%, respectively). For grass silages only, the model-predicted CH4 correlated well (Pearson correlation coefficient 0.73) with the observed CH4 (which varied from 5.7% to 7.2% of gross energy intake), after predicted CH4 was corrected for nitrate consumed with grass silage, acting as hydrogen sink in the rumen. After nitrate correction, there was a systematic under-prediction of 18%, which reduced to 9% when correcting the erroneously predicted rumen volatile fatty acid (VFA) profile (RMSPE 15%). Although a small over-prediction of 3% was obtained for the grass herbages, this increased to 14% when correcting VFA profile. The model predictions showed a systematic difference in CH4 emission from grass herbages and grass silages, which was not supported by the observed data. This is possibly related to the very high content of soluble carbohydrates in grass herbage (an extra 170 g/kg dry matter compared with grass silages) and an erroneous prediction of its fate and contribution to CH4 in the rumen. Erroneous prediction of the VFA profile is likely to be due to different types of diets included in the empirical database used to parameterise VFA yield in the model from those evaluated here. Model representations of feed digestion and VFA profile are key elements to predict enteric CH4 accurately, and with further evaluations, the latter aspect should be emphasised in particular.
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Bannink, A., J. L. Ellis, N. Mach, J. W. Spek, and J. Dijkstra. "Interactions between enteric methane and nitrogen excretion in dairy cows." Advances in Animal Biosciences 4, s1 (September 2013): 19–27. http://dx.doi.org/10.1017/s2040470013000277.

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Next to dry matter (DM) intake, nutritional factors cause considerable variation in methane (CH4) emitted and nitrogen (N) excreted per kg of DM intake or per kg of milk. Rumen function in particular determines CH4emission and concomitant (amount and site) of N excretion, including the trade-offs between them with changes in nutrition and cow characteristics. Quantification of the interaction between CH4and N emission hence requires quantification of effects on rumen function in particular. The models available to quantify CH4emission require the same types of input. The detail of questions posed determines the choice of model and the required level of detail of model inputs needed to investigate mitigation measures and the interaction between CH4and N emission for a specific farming case. Simulation results with a mechanistic model of enteric fermentation confirmed a profound impact of nutritional measures on both CH4and N emission, but also demonstrated that nutritional measures to mitigate N excretion can be associated with an increase in CH4emission. This result demonstrates the need to consider details on the rumen level when the aim is to quantify accurately the net effect on greenhouse gas emission for a specific case studied, which contrasts with applying generic values. As an alternative to models of quantification, on-farm measurement of emission might be pursued by sampling of excreta and air. The principle problem is that concentrations are measured which not necessarily reflect daily rates. Milk production rate is recorded on-farm however, which makes indicators based on milk composition just as promising candidates to estimate CH4(milk fat) or N (milk urea) emission, provided bias by variation in milk composition unrelated to CH4and N emission rate can be prevented.
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Kim, Tae Hoon, Ridha Ibidhi, Yoo-Gyung Lee, Hyun June Lee, and Kyoung Hoon Kim. "219 Developing country specific enteric methane emission factor of the South Korean dairy cattle production using the 2019 refined IPCC Tier 2 methodology." Journal of Animal Science 98, Supplement_4 (November 3, 2020): 157. http://dx.doi.org/10.1093/jas/skaa278.287.

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Abstract Dairy cattle farming was identified as an important source of enteric methane (CH4) emissions. In order to contribute to the improvement of the national greenhouse gas emission inventory, this work aims to develop emission factors (EF) for CH4 emissions from enteric fermentation in dairy cattle in South Korea. Information on dairy cattle herd characteristics, diet and management practices specific to the Korean dairy cattle population were gathered. EF was estimated according to the 2019 refinement to the 2006 Intergovernmental Panel on Climate Change (IPCC) using the Tier 2 approach. Three animal subcategories were considered: milking cows (650 kg body weight, BW), heifers 1~2 years (473 kg BW) and growing animals &lt; 1 year (167 kg BW). The estimated enteric CH4 EFs for milking cows, heifers 1~2 years, growing animal &lt; 1 year, were 139, 83 and 33 kg/head/year, respectively. South Korea adopted the Tier 1 default enteric CH4 EFs for GHG inventory reporting from the North America region. Compared with the generic Tier 1 default EF of 138 kg CH4/head/year proposed by the 2019 refinement to the 2006 IPCC guidelines for high milking cows, our suggested value is quite similar (139 kg CH4/ head/year). While enteric CH4 EFs values were 23% higher and 49% lower for heifers and growing animals &lt; one year than Tier 1 default EFs values, respectively. In addition, enteric CH4 EF is highly correlated with the level of milk production, feed intake and digestibility and methane conversion factor (%Ym). The outcome of this study underscores the importance of obtaining country-specific EF to estimate national enteric CH4 emissions. Thus, this work is a step forward in the revision of dairy cattle enteric CH4 EF and can further support assessment of mitigation strategies in South Korean livestock farming systems.
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Widiawati, Yeni, M. N. Rofiq, and B. Tiesnamurti. "Methane emission factors for enteric fermentation in beef cattle using IPCC Tier-2 method in Indonesia." Jurnal Ilmu Ternak dan Veteriner 21, no. 2 (July 1, 2016): 101. http://dx.doi.org/10.14334/jitv.v21i2.1358.

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<p class="abstrak2">Methane emission from enteric is a sub-category considered under the Agriculture sector greenhouse gas emissions by UNFCCC, thus Indonesia developed calculation on enteric CH<sub>4</sub> EF for ruminant using Tier-2 method as country-specific emission factors (EF). Indonesia has huge amount of beef cattle population, which contributes significant amount to national enteric methane emission. The aim of this study was to estimate enteric methane EF for beef cattle in Indonesia using IPCC Tier-2 method. The EF generated from this study is then used to estimate the methane emitted from beef cattle. Data on beef cattle population was obtained from BPS, data on energy content of feed, feed intake and digestibility were compiled from laboratory analysis and published paper. Equations were adopted and followed the instruction of IPCC 2006. Local cattle has different CH<sub>4</sub> EF among each sub-category, which are ranging from 18.18 to 55.89 Kg head-1 yr-1, with the average of 36.75 head-1 yr-1. Imported beef cattle has lower CH<sub>4</sub> EF (25.49 kg head-1 yr-1) than the average for local beef cattle. Overall, the national CH<sub>4</sub> EF of beef cattle calculated by using IPCC Tier-2 method in Indonesia is 33.14 head-1 yr-1. The value is lower than default EF from IPCC for Asia country (47 kg head-1 yr-1). The conclusion is enteric CH<sub>4</sub> EF for beef cattle in Indonesia calculated using Tier-2 method shows the real livestock system in Indonesia condition. Further research needed to be addressed are calculation of EFs for various breeds and feeding systems, since large variations of breeds and types of feed among provinces in Indonesia.</p>
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Rendón-Huerta, J. A., J. M. Pinos-Rodríguez, J. C. García-López, L. G. Yáñez-Estrada, and E. Kebreab. "Trends in greenhouse gas emissions from dairy cattle in Mexico between 1970 and 2010." Animal Production Science 54, no. 3 (2014): 292. http://dx.doi.org/10.1071/an12327.

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The objective of the present work was to estimate and assess trends in greenhouse gas (GHG) emissions, particularly methane (CH4) and nitrous oxide (N2O), from dairy cows in Mexico from the base year of 1970 to 2010. Empirical and mechanistic models were used to estimate enteric methane emissions based on chemical composition of diets. Methane from manure was calculated using Intergovernmental Panel for Climate Change (IPCC) and US Environmental Protection Agency recommended equations. N2O emission was calculated according to IPCC recommendations. Compared with the 1970s, current management practices using modern dairy cows increased feed conversion efficiency 32% and milk yield 62%. GHG emission intensity (i.e. emissions per unit of product) was reduced 30%, 25% and 30% for CH4, N2O and total emissions, respectively. The study showed that although GHG emissions in absolute terms increased in the past 40 years, emission intensity decreased due to higher level of production. This trend is likely to continue in the future, assuming milk production follows the same increasing trend as in other countries in North America.
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Schilling, Ashley K., Lauren K. Newman, Mesa B. Kutz, Samantha M. Clark, Logan R. Thompson, and Kim R. Stackhouse-Lawson. "PSIII-1 Impact of low Levels of Tannin Supplementation on Enteric Methane Emissions and Performance in Organic Dairy Heifers." Journal of Animal Science 100, Supplement_3 (September 21, 2022): 247. http://dx.doi.org/10.1093/jas/skac247.446.

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Abstract Condensed tannins are theorized to reduce enteric methane emissions by enhancing protein efficiency and decreasing ruminal fiber fermentation in ruminant animals. The objective of this study was to assess the viability of supplemented condensed tannins fed at increasing levels: 0% (CON), 0.075% (LOW), 0.15% (MED), and 0.30% (HIG) of dry matter intake (DMI). The study acclimation utilized 24 organic Holstein heifers, one GreenFeed emission measurement system, two SmartFeed Pro systems (C-Lock Inc., Rapid City, SD), and individual animal feeding stanchions. Twenty organic Holstein heifers (BW = 218.75 ± 16.78 kg) were selected based on acclimation and were stratified into treatment groups based on initial body weight and acclimation status. A 7-d covariate gas analysis was performed prior to the study to account for individual animal emission differences. Daily, heifers were offered 1 kg of starter calf feed and tannin in the individual feeding stanchions for 45-d and fed a basal TMR diet through the SmartFeed Pro systems. Statistical analysis was conducted in R with the fixed effect of treatment and pre-trial emission rate as a covariate. Daily methane production ranged from 141 to 152 g methane (CH4)/day between treatments. No significant difference was observed between treatments for daily methane production (P=0.53), methane yield (g CH4/ kg DMI; P=0.82), or emission intensity (g CH4/kg of body weight gain; P=0.62). Similarly, a treatment effect was not observed for DMI (P=0.95), average daily gain (ADG) (P=0.50), or feed efficiency (P=0.36). However, DMI and ADG continued to increase throughout the study, suggesting that the supplemental tannin did not negatively impact animal performance. The results of this study would not indicate that low levels of tannin supplementation alter CH4 emissions in organic Holstein heifers.
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Talukdar, Papori, Shivlal Singh Kundu, and Goutam Mondal. "Quantification of methane emissions from Murrah buffaloes fed different energy diets during various temperature humidity index periods in a tropical environment." Animal Production Science 59, no. 1 (2019): 169. http://dx.doi.org/10.1071/an17187.

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The objective of the present study was to quantify the enteric methane emission in Murrah buffalo heifers at high (summer) and low (winter) temperature humidity index (THI) period fed different energy level diets. Thirty-six growing Murrah buffalo heifers of average bodyweight (158.51 ± 16.5 kg) were distributed into three groups of six animals each separated based on their bodyweight and fed for the period of 120 days each during summer (high THI, 78–85) and winter (low THI, 50–61). The animals were fed on three different levels of metabolisable energy (ME) content and the Control ration (T1) having ME content according to ICAR (2013) and T2 and T3 were having 115% and 85% ME than the Control respectively, in total mixed-based ration. The SF6 tracer gas technique was used to quantify the enteric methane emission by the animals. Methane emission (g/day) of Control and the high energy (T1 and T2) group was lower (P &lt; 0.05) than the low energy (T3) fed group in both seasons. Methane losses as percentage of gross energy intake was lower (P &lt; 0.01) during the winter season. However, in the low energy treatment group (T3) at both seasons these values are higher than the IPCC recommended value (6.5%) for calculation of national inventory of greenhouse gas emission from enteric sources. In between season average daily gain (kg) was higher (P &lt; 0.01) in the winter season and among the treatment groups it was higher (P &lt; 0.01) in the high energy group (T1, T2). Higher (P &lt; 0.01) digestibility of dry matter, organic matter, neutral detergent fibre and acid detergent fibre was reported in the Control and high energy-fed group. Whereas in the summer season digestibility of dry matter, organic matter, crude protein and acid detergent fibre was higher (P &lt; 0.01) than in the winter season. It can be concluded that energy levels significantly (P &lt; 0.05) affect methane emissions and was lower in the Control and high energy-fed group (T1 and T2). However, while quantifying methane emission in changing THI period at different seasons it did not show any significant variation.
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Yu, Xueying, Dylan B. Millet, Kelley C. Wells, Daven K. Henze, Hansen Cao, Timothy J. Griffis, Eric A. Kort, et al. "Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions." Atmospheric Chemistry and Physics 21, no. 2 (January 25, 2021): 951–71. http://dx.doi.org/10.5194/acp-21-951-2021.

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Abstract. We apply airborne measurements across three seasons (summer, winter and spring 2017–2018) in a multi-inversion framework to quantify methane emissions from the US Corn Belt and Upper Midwest, a key agricultural and wetland source region. Combing our seasonal results with prior fall values we find that wetlands are the largest regional methane source (32 %, 20 [16–23] Gg/d), while livestock (enteric/manure; 25 %, 15 [14–17] Gg/d) are the largest anthropogenic source. Natural gas/petroleum, waste/landfills, and coal mines collectively make up the remainder. Optimized fluxes improve model agreement with independent datasets within and beyond the study timeframe. Inversions reveal coherent and seasonally dependent spatial errors in the WetCHARTs ensemble mean wetland emissions, with an underestimate for the Prairie Pothole region but an overestimate for Great Lakes coastal wetlands. Wetland extent and emission temperature dependence have the largest influence on prediction accuracy; better representation of coupled soil temperature–hydrology effects is therefore needed. Our optimized regional livestock emissions agree well with the Gridded EPA estimates during spring (to within 7 %) but are ∼ 25 % higher during summer and winter. Spatial analysis further shows good top-down and bottom-up agreement for beef facilities (with mainly enteric emissions) but larger (∼ 30 %) seasonal discrepancies for dairies and hog farms (with > 40 % manure emissions). Findings thus support bottom-up enteric emission estimates but suggest errors for manure; we propose that the latter reflects inadequate treatment of management factors including field application. Overall, our results confirm the importance of intensive animal agriculture for regional methane emissions, implying substantial mitigation opportunities through improved management.
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Palangi, Valiollah, Akbar Taghizadeh, Soheila Abachi, and Maximilian Lackner. "Strategies to Mitigate Enteric Methane Emissions in Ruminants: A Review." Sustainability 14, no. 20 (October 14, 2022): 13229. http://dx.doi.org/10.3390/su142013229.

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Methane is the main greenhouse gas (GHG) emitted by ruminants. Mitigation strategies are required to alleviate this negative environmental impact while maintaining productivity and ruminants’ health. To date, numerous methane mitigation strategies have been investigated, reported and suggested by scientists to the livestock industry. In this review, the authors will focus on the commonly practiced and available techniques expanding the knowledge of the reader on the advances of methane mitigation strategies with a focus on the recent literature. Furthermore, the authors will attempt to discuss the drawbacks of the strategies in terms of animal health and performance reduction as well as the concept of feed and energy loss, adding an economic perspective to methane emission mitigation which is in the farmers’ direct interest. As a whole, many factors are effective in reducing undesired methane production, but this is definitely a complex challenge. Conclusively, further research is required to offer effective and efficient methane production mitigation solutions in ruminants worldwide, thus positively contributing to climate change.
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Nampoothiri, Vinu M., Madhu Mohini, Bilal Ahmad Malla, Goutam Mondal, and Sujata Pandita. "Animal performance, and enteric methane, manure methane and nitrous oxide emissions from Murrah buffalo calves fed diets with different forage-to-concentrate ratios." Animal Production Science 60, no. 6 (2020): 780. http://dx.doi.org/10.1071/an17727.

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The present study aimed to evaluate the effects of dietary forage:concentrate ratios on growth performance and enteric and faecal greenhouse-gas emissions from growing buffalo calves. Fifteen Murrah male calves (bodyweight = 233.35 ± 30.92 kg; 8–12 months age) were randomly assigned to three dietary groups that were fed a mixture of berseem fodder, wheat straw and concentrate at the ratios of 20:60:20 (C20), 20:40:40 (C40) and 20:20:60 (C60) respectively, for 120 days. Enteric methane (CH4) production was estimated by the sulfur hexafluoride tracer technique. Faeces were stored for 12 weeks and CH4 and nitrous oxide (N2O) fluxes from stored faeces were estimated every 14 days. Dry-matter intake, feed conversion efficiency and nitrogen retention were not affected (P &gt; 0.05) but average daily gain and urinary nitrogen loss (g/day) were higher for C60 than the C20 diet (P &lt; 0.05). Daily enteric CH4 emission (g/day) was not affected but CH4 yield (g/kg dry-matter intake) and energy loss through CH4 as a proportion of energy intake were lower for C60 than the C20 diet (P &lt; 0.05). Faeces composition was not affected, and large variations of greenhouse-gas emissions were observed for first 10 days of storage. Methane emissions from stored faces were 1.28 ± 0.40, 1.94 ± 0.34 and 3.90 ± 0.27 mg/kg faeces per day for C20, C40 and C60 diets respectively, being higher for C60 than the C40 and C20 diets (P &lt; 0.05). Methane-flux rate from faeces was greater for C60 than the C20 and C40 diets (0.75 vs 0.26 and 0.37 g/animal respectively; P &lt; 0.05). Diet C60 increased N2O fluxes from stored faeces by 63% and 58% respectively, expressed in mg/kg faeces per day and mg/animal per day, compared with C20 diet (P &lt; 0.05). Overall, dietary concentrate proportion of up to 60% in growing buffalo calf diets improved growth performance without increasing enteric CH4 emission, but CH4 and N2O production from faeces were increased. This work has provided information for gas emissions factors from open storage of faeces. More detailed studies on gaseous emissions from open lots on farms are required.
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35

Joshi, Madhab. "Status of Methane Gas Emission from Paddy Fields in Nepal." Agronomy Journal of Nepal 4 (August 23, 2016): 142–48. http://dx.doi.org/10.3126/ajn.v4i0.15537.

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Annual methane emission from paddy fields in Nepal has been estimated based on the published secondary data for 11 years from 2000-2010. Available data were collected from the Ministry of Agricultural Development (MoAD), Department of Agriculture (DoA) and Nepal Agricultural Research Council (NARC). Green house gas emission (GHG) was estimated by using IPCC 2006 guidelines. Agricultural activities contribute directly to emissions of greenhouse gases through a variety of processes including the source categories such as enteric fermentation in domestic livestock, livestock manure management, rice cultivation, and agricultural soil management. Diverse traditional agriculture systems, unique diversities in land types and unavailability of required disaggregated data at the national level as defined by the emission factor data base (EFDB) of the IPCC 2006, were the problem encountered while calculating the emission status in this study. Annual methane (CH4) emission from paddy fields ranged from 111.57 to 133.07 Gg over years 2000 to 2010 but it was found lowest ( 111.57 Gg) in the year 2002 and highest (133.07 Gg) in the year2003. In the year 2010, methane emission from paddy cultivation represented about 17.48 % of cumulative methane emission both from livestock sector and paddy fields throughout Nepal. Also, some relevant policies and potential strategies towards mitigation measures of methane gas emission from paddy fields for the future in Nepal are highlighted.Agronomy Journal of Nepal (Agron JN), Vol.4, Page: 142-148, 2016
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Patra, Amlan Kumar. "Prediction of enteric methane emission from buffaloes using statistical models." Agriculture, Ecosystems & Environment 195 (October 2014): 139–48. http://dx.doi.org/10.1016/j.agee.2014.06.006.

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37

Sarnighausen, Valéria Cristina Rodrigues, Ana Carolina de Souza Silva, and Sergio Oliveira Moraes. "Greenhouse gas emission in Cattle Livestock System, the challenge in quantification and mitigation strategies: meta-synthesis." Revista Ibero-Americana de Ciências Ambientais 12, no. 1 (September 16, 2020): 417–35. http://dx.doi.org/10.6008/cbpc2179-6858.2021.001.0034.

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Emission factors are references to compose future projections related to global emissions, climate change, and sustainable practice. The inventories are commonly based on theoretical standard emission factors according to the Intergovernmental Panel on Climate Change and European Monitoring and Evaluation Program, which is susceptible to uncertainties. Global demand for livestock productions tends to grow by about 70% by the year 2050. Ammonia and nitrous oxide produced by bovine waste constitutes 40% of the anthropogenic production of GHG. Emissions related to enteric fermentation and waste represent 80% of methane emissions from agriculture or almost 40% of global emissions. This pressure on producers and natural resources will require sustainable management as a mitigation process. In order to identify the main challenges of the quantification of greenhouse gas emissions from cattle livestock, we developed a qualitative meta-synthesis of scientific experimental studies, and we find an integrated assessment related to 53 papers. The result shows the challenges of scientific research in standardizing methodologies and clarifying the gaps in relation to emissions from cattle raising sources. The mitigation strategy that can actually be used in the short term to reduce emissions from waste is the anaerobic digestion process. Reducing enteric methane emissions through diet modification still presents numerous challenges. Quantification of greenhouse gas emission and mitigation potential, in loco, are necessary to better elucidate the effects of diets and management of the animal production system, to promote technical orientations at the farm level.
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Hoque, SA Masudul, Md Mazharul Islam, Abu Sadeque Md Selim, Shabbir Ahmed, and Md Morshedur Rahman. "Estimation of total methane emission from enteric fermentation of ruminant livestock in Bangladesh." Asian Journal of Medical and Biological Research 3, no. 2 (August 29, 2017): 245–53. http://dx.doi.org/10.3329/ajmbr.v3i2.33577.

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Ruminant livestock is one of the key elementsfor the agriculture-based economy of Bangladesh, although these animals are often condemned as a source greenhouse gas especially methane (CH4).Total methane emission from the enteric fermentation of ruminants in Bangladesh considering Gazipur, Tangail and Mymensingh district is reflected in the output of the present study. The emission was measured using the dry matter intake (DMI) approach based on the total population of ruminants. Feed intake was recorded from on-farm observation and/or farmers records. It was observed that the ration supplied to bovines consisted of 50-60% green roughage, 31-41% rice straw, and 4-10% concentrate mixture. In terms of DMI rice straw has been contributed the highest (51-65%) proportions followed by green forage (24-31%) and concentrate mixture (7-17%). In small ruminant ration, 90-95% feed (DMI 75-86%) was supplied from green grasses and remaining from concentrate mixtures. Although buffalo individually irrespective of sex and age emitted highest amount of methane followed crossbred and indigenous cattle, goat and sheep, the males produced a higher amount of methane than those of female in all species. Total methane emission in Gazipur, Tangail, and Mymensingh districts were 13359.15, 13250.65 and 13653.75 Kg/day and 4876.11, 4836.50 and 4983.62 „000?Kg/year, respectively. In total 848,320 Kg/day and 309,630 “000”Kg/year methane was measured to be emitted in Bangladesh by 56.33 million ruminant livestock where 64.79% had come from indigenous cattle followed by crossbreed cattle (20.82%), Goat (8.79%), Buffalo (5.17%) and sheep (0.43%).Asian J. Med. Biol. Res. June 2017, 3(2): 245-253
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39

Hammond, K. J., G. C. Waghorn, and R. S. Hegarty. "The GreenFeed system for measurement of enteric methane emission from cattle." Animal Production Science 56, no. 3 (2016): 181. http://dx.doi.org/10.1071/an15631.

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Methane measurements from cattle would benefit from an improved capability to measure a larger number of animals, with a lower requirement for specialist technical knowledge, and minimal human interference. The GreenFeed (GF) system (C-Lock Inc., Rapid City, SD, USA) estimates daily methane production (DMP, g/day) by measuring gas concentrations and airflow over 3–7 min from cattle when they visit a GF unit. Although few data are collected per animal per day, over many days of GF visitation estimates of DMP can be established. Published GF estimates of DMP are in agreement with DMP measured by respiration chambers, but there are inconsistencies in comparisons based on estimates using the sulfur hexafluoride tracer method. Circadian patterns of methane emission from cattle suggest spot-sampling of emissions by GF should be distributed over 24 h, or weighted to avoid bias associated with clustering of GF visits at specific times. Up to half of cattle grazing temperate pastures choose not to use GF on a daily basis, so consideration must be given to the number of animals and duration of sampling as well as the proportion and representation of animals using GF for estimating DMP, especially for ranking individuals. All systems for determining DMP from animals constrain the data in some way, and the suitability of the GF system will be affected by the experimental objectives and design. For example, compared with the respiration chamber and sulfur hexafluoride tracer techniques, it takes more time and animals to undertake a treatment comparison of DMP using GF due to higher within-day and within-animal variance, especially if some avoid GF or do not visit each day.
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40

Islam, Mahfuzul, Seon-Ho Kim, A.-Rang Son, Sung-Sill Lee, and Sang-Suk Lee. "Breed and Season-Specific Methane Conversion Factors Influence Methane Emission Factor for Enteric Methane of Dairy Steers." Sustainability 14, no. 12 (June 8, 2022): 7030. http://dx.doi.org/10.3390/su14127030.

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This study determined the breed and the season-specific methane (CH4) conversion factor (Ym) and the emission factor (EF) for the enteric CH4 of dairy steers. The Ym values for Holstein and Jersey steers at different seasons were calculated using the IPCC 2006 equations by incorporating the input and/or output value of the chemical composition of feed, methane production, methane yield, dry matter intake, and methane energy emission. EFs were categorized into five types depending on the 2019 refinement to the IPCC 2006 Tier 2 equations used. EFA was calculated from Equation 10.21A (New), while other EFs were estimated from the Equation 10.21 which were designated according to the gross energy intake (GEI) and Ym as EFB (GEIi and Ym), EFC (GEIii and Ym), EFD (GEIii and Ym (6.3)), and EFE (GEIii and Ym (4.0)). The calculated overall Ym for Holstein and Jersey steers were 4.90 and 7.49, while the recorded EF of group EFA were 56.44 and 67.42 kg CH4/head/year for Holstein and Jersey steers, respectively. For Holstein steers, EFD was overestimated (75.91 vs. 48.20~58.15), while in Jersey steers, the EFF underestimated the EF (kg CH4/head/year) compared to others (40.15 vs. 63.24~73.28) (p < 0.05). Mixed analysis revealed that the breed influenced EFs of all the EF groups, while the season, and the breed × the season influenced EFs of group EFC, EFD, and EFF. The overall results recommended using the breed-specific Ym for the estimation of the EF for enteric methane in dairy steers.
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McGinn, S. M., D. Chen, Z. Loh, J. Hill, K. A. Beauchemin, and O. T. Denmead. "Methane emissions from feedlot cattle in Australia and Canada." Australian Journal of Experimental Agriculture 48, no. 2 (2008): 183. http://dx.doi.org/10.1071/ea07204.

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Raising beef cattle in open feedlots is a well established practice in Canada and is gaining acceptance in Australia because it results in more consistent meat quality. These facilities are regional ‘hot spots’ of methane (CH4) emissions, resulting from the high stocking density and the large amount of fermentation occurring in the rumen (enteric CH4). Our objective was to compare CH4 emissions from a typical feedlot in Australia (Queensland) and in Canada (Alberta) and also to compare these against modelled emissions. Methane concentration and wind data were monitored over a portion of each feedlot and a dispersion model was used to calculate CH4 emissions during a summer period. The average CH4 emission was 166 ± 90 and 214 ± 61 g/animal.day for the feedlot in Queensland and in Alberta, respectively. The lower CH4 emission at the Queensland feedlot was attributed to the lighter weight of the cattle, and consequently their lower intake, and supplementation of the diet with lipids. The lipid effect on CH4 emissions is also speculated to cause some models to overestimate the measured CH4 emissions. A lower CH4 emission also occurred during daylight hours at the Queensland feedlot and was attributed in part to heat stress as defined by the temperature–humidity index.
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42

Holtshausen, Lucia, Chaouki Benchaar, Roland Kröbel, and Karen A. Beauchemin. "Canola Meal versus Soybean Meal as Protein Supplements in the Diets of Lactating Dairy Cows Affects the Greenhouse Gas Intensity of Milk." Animals 11, no. 6 (May 31, 2021): 1636. http://dx.doi.org/10.3390/ani11061636.

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Soybean meal (SBM) and canola meal (CM) are protein supplements used in lactating dairy cow diets and, recently, an enteric methane-mitigating effect (i.e., lower Ym value) was reported for CM. Before recommending CM as a greenhouse gas (GHG) mitigation strategy, it is necessary to examine the net impact on total GHG emissions from milk production. The objective was to determine whether using CM rather than SBM in lactating dairy cow diets decreases GHG per kilogram of fat and protein corrected milk (FPCM), and whether the decrease depends upon where the meals are produced. Cradle to farm-gate life cycle assessments were conducted for a simulated dairy farm in eastern (Quebec) and western (Alberta) Canada. Scenarios examined the source of protein meal, location where meals were produced, and the methane-mitigating effect of CM. The Holos model was used to estimate GHG emissions from animals, manure, crop production, imported feeds, and energy use. GHG intensities (CO2e/kg FPCM) were 0.85–1.02 in the east and 1.07–1.11 in the west for the various scenarios, with enteric methane comprising 34 to 40% of total emissions. CM produced in western Canada with a low up-stream emission factor and low Ym value reduced CO2e/kg FPCM by 3% (western farm) to 6.6% (eastern farm) compared with SBM. We conclude that using CM rather than SBM in the diet of lactating dairy cows can be a GHG mitigation strategy depending upon where it is produced and whether it decreases enteric methane emissions.
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43

Lascano, Carlos E., and Edgar Cárdenas. "Alternatives for methane emission mitigation in livestock systems." Revista Brasileira de Zootecnia 39, suppl spe (July 2010): 175–82. http://dx.doi.org/10.1590/s1516-35982010001300020.

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Human activities are contributing to Global Climate Change through the production of Green House Gases (GHG), which result in increased air, land and ocean temperatures and extreme changes in precipitation in regions of low and high rainfall. The most important GHG's are carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O). It is estimated that 18 % of the annual GHG emissions come from different types of livestock and that 37% of CH4, with higher global warming potential (23) relative to CO2 (1), comes from fermentation processes in ruminants. It is possible that in the future beef and milk exports from producing countries is subject to bans if cattle systems do not comply with measures to reduce GHG. There are several alternatives available and being researched to reduce enteric CH4 emissions from cattle that range from manipulating diet composition, supplementing feed additives (i.e. ionophores, organic acids, halogenated compounds, oils) and selection of forage plants of high quality and containing secondary metabolites (i.e. tannins and saponins) to animal breeding, immunization and genetic transformation of rumen microorganisms. Results show that inhibition of enteric CH4 emission is possible through the use of ionophores, organic acids and oils. The use of ionophores can result in resistance of rumen microbes and as a result the effect is short term. The high cost of organic acids makes it unlikely that there direct supplementation in ruminant diets is economically viable. However, organic acids are present at relatively high concentrations in the leaf tissue of plants and attempts should be made to select and breed forages with higher levels of these compounds. It is argued that a more efficient strategy to reduce enteric CH4 in ruminants is through selection of grasses of high quality (i.e. high concentration of water soluble carbohydrates), of forage legumes containing secondary metabolites like tannins and of fruits/plants containing saponins, provided that they do not affect intake and digestibility. Improved nutrition of cattle through feeding high quality forages can result in high animal performance and in reductions of CH4 emitted per unit of dry matter intake and per unit of product.
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44

Li, L., J. Davis, J. Nolan, and R. Hegarty. "An initial investigation on rumen fermentation pattern and methane emission of sheep offered diets containing urea or nitrate as the nitrogen source." Animal Production Science 52, no. 7 (2012): 653. http://dx.doi.org/10.1071/an11254.

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The effects of dietary nitrate and of urea on rumen fermentation pattern and enteric methane production were investigated using 4-month-old ewe lambs. Ten lambs were allocated into two groups (n = 5) and each group was offered one of two isonitrogenous and isoenergetic diets containing either 1.5% urea (T1) or 3% calcium nitrate (T2). Methane production was estimated using open-circuit respiration chambers after 6 weeks of feeding. No difference in nitrogen (N) balance, apparent digestibility of N or microbial N outflow existed between treatments (P > 0.05). Animals offered the T2 diet lost less energy through methane than did those fed the T1 diet (P < 0.05). Total volatile fatty acid concentration, molar proportion of propionate, and the molar ratio of acetate to propionate in rumen fluid were not affected by dietary N source. Compared with urea inclusion, nitrate inclusion caused a significantly higher acetate and lower butyrate percentage in rumen volatile fatty acid. Nitrate supplementation tended to lower methane production by ~7.7 L/day relative to urea supplementation (P = 0.06). Methane yield (L/kg DM intake) was reduced (P < 0.05) by 35.4% when 1.5% urea was replaced by 3% calcium nitrate in the diet. Emission intensity (L methane/kg liveweight gain) was ~17.3% lower in the nitrate-supplemented sheep when compared with urea-fed sheep; however, the reduction was not statistically significant (P > 0.05). This study confirms that the presence of nitrate in the diet inhibits enteric methane production. As no clinical symptoms of nitrite toxicity were observed and sheep receiving nitrate-supplemented diet had similar growth to those consuming urea-supplemented diet, it is concluded that 3% calcium nitrate can replace 1.5% urea as a means of meeting ruminal N requirements and of reducing enteric methane emissions from sheep, provided animals are acclimated to nitrate gradually.
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Ibidhi, Ridha, Tae-Hoon Kim, Rajaraman Bharanidharan, Hyun-June Lee, Yoo-Kyung Lee, Na-Yeon Kim, and Kyoung-Hoon Kim. "Developing Country-Specific Methane Emission Factors and Carbon Fluxes from Enteric Fermentation in South Korean Dairy Cattle Production." Sustainability 13, no. 16 (August 15, 2021): 9133. http://dx.doi.org/10.3390/su13169133.

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Dairy cattle farming contributes significantly to greenhouse gas (GHG) emissions through methane (CH4) from enteric fermentation. To complement global efforts to mitigate climate change, there is a need for accurate estimations of GHG emissions using country-specific emission factors (EFs). The objective of this study was to develop national EFs for the estimation of CH4 emissions from enteric fermentation in South Korean dairy cattle. Information on dairy cattle herd characteristics, diet, and management practices specific to South Korean dairy cattle farming was obtained. Enteric CH4 EFs were estimated according to the 2019 refinement of the 2006 Intergovernmental Panel on Climate Change (IPCC) using the Tier 2 approach. Three animal subcategories were considered according to age: milking cows >2 years, 650 kg body weight (BW); heifers 1–2 years, 473 kg BW; and growing animals <1 year, 167 kg BW. The estimated enteric CH4 EFs for milking cows, heifers, and growing animals, were 139, 83 and 33 kg/head/year, respectively. Currently, the Republic of Korea adopts the Tier 1 default enteric CH4 EFs from the North America region for GHG inventory reporting. Compared with the generic Tier 1 default EF of 138 (kg CH4/head/year) proposed by the 2019 refinement to the 2006 IPCC guidelines for high-milking cows, our suggested value for milking cows was very similar (139 kg CH4 /head/year) and different to heifers and growing animals EFs. In addition, enteric CH4 EFs were strongly correlated with the feed digestibility, level of milk production, and CH4 conversion rate. The adoption of the newly developed EFs for dairy cattle in the next national GHG inventory would lead to a potential total GHG reduction from the South Korean dairy sector of 97,000 tons of carbon dioxide-equivalent per year (8%). The outcome of this study underscores the importance of obtaining country-specific EFs to estimate national enteric CH4 emissions, which can further support the assessment of mitigation actions.
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46

Kebreab, Ermias, and Eleanor Pressman. "9 Is a Climate Neutral Animal Agriculture Possible?" Journal of Animal Science 100, Supplement_3 (September 21, 2022): 5. http://dx.doi.org/10.1093/jas/skac247.007.

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Abstract Animal agriculture contributed 4% to the total greenhouse gas (GHG) emission from the US in 2019. Most of the climate impact from animal production are due to emissions of methane, which contributed about 70% of all livestock GHG emissions. Methane lasts in the atmosphere for around a decade. However, its warming potential over a 20-year period is up to 84 times compared to CO2. The impact on warming from methane is not gradual build-up over time but from relatively recent years. Therefore, reducing methane emissions is one the most effective ways to slow down the rate of climate warming. By some estimates, reducing methane by just 0.3% per year will result in no more warming from methane. Scaling it up further, may even reverse global warming. There are several mitigation options that can help achieve methane reduction in the short term. These can be broadly categorized into dietary and rumen manipulation. Dietary manipulation methods include increasing feed digestibility, such as concentrate to forage ratio, or increasing fats and oils, which are associated with lower methane emissions. These methods can potentially reduce methane emissions by up to 30%. Rumen manipulation through feed additives can be through either modifying the rumen environment, which indirectly affect emissions or directly inhibiting methanogenesis. The rumen environment modifiers include plant bioactive compounds such as essential oils and tannins, and nitrate rich feeds. Their effectiveness ranges between 10 to 30%. The inhibitor category include 3-nitroxypropanol (3-NOP) and seaweeds containing halogenated compounds. 3-NOP reduces enteric methane emissions by over 30% and has been approved for use in certain countries. Seaweed, in particular Asparagopsis spp., reduce emissions by over 90% in beef cattle. The combination of dietary and rumen manipulation options, including feed additives, is expected to reduce enteric methane emissions by over 30% in the next decade and help move the livestock industry closer to climate neutrality.
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Méo-Filho, Paulo, Alexandre Berndt, Cintia R. Marcondes, André F. Pedroso, Leandro S. Sakamoto, Daniella F. V. Boas, Paulo H. M. Rodrigues, M. Jordana Rivero, and Ives C. S. Bueno. "Methane Emissions, Performance and Carcass Characteristics of Different Lines of Beef Steers Reared on Pasture and Finished in Feedlot." Animals 10, no. 2 (February 13, 2020): 303. http://dx.doi.org/10.3390/ani10020303.

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The present study aimed to investigate whether different lines of a composite breed (5/8 Charolais × 3/8 Zebu), formed at different times, and genetically improved, would result in differences in animal performance, enteric methane emissions, and carcass traits. Forty-six Canchim steers (15 months, 280 ± 33 kg liveweight) from three different lines were used: old, new, and their cross. These three breed lines were considered the treatments (arranged in four randomized blocks based on initial liveweight) and were evaluated under grazing and feedlot conditions in relation to the performance and emission of enteric methane. During the grazing period, the new line was found to be superior to the old only in relation to the average daily liveweight gain (0.692 vs. 0.547 kg/day), and with no differences in relation to the cross line (0.692 vs. 0.620). In the feedlot finishing phase, only the average daily liveweight gain was significantly higher in the new line compared to the cross and old line (1.44 vs. 1.32 and 1.23 kg/day). The new and cross lines demonstrated higher dry matter intake when compared to the old line (10.25 and 10.42 vs. 9.11 kg/day), with the crossline animals demonstrating the best feed conversion. The new line showed higher enteric methane emissions compared to the old line (178 vs. 156 g/day). The line had an effect on the carcass dressing of the animals, with greater fat thickness in carcasses from the new and cross lines than the old line (4.4 and 3.8 vs. 3.2 mm). Canchim cattle selected for improved productive performance characteristics does not guarantee animals with lower methane emissions under grazing conditions; while in feedlots, can lead to increased daily feed consumption, and hence, to higher emissions of methane.
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Dini, Yoana, Cecilia Cajarville, José I. Gere, Sofía Fernandez, Martín Fraga, Maria Isabel Pravia, Elly Ana Navajas, and Verónica S. Ciganda. "Association between residual feed intake and enteric methane emissions in Hereford steers." Translational Animal Science 3, no. 1 (October 12, 2018): 239–46. http://dx.doi.org/10.1093/tas/txy111.

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Abstract The objective of this study was to quantify the emissions of enteric CH4 from growing Hereford steers raised under feedlot conditions based on contrasting levels of residual feed intake (RFI). A repeated measurements experiment was conducted over 20 d to determine CH4 production from two groups of nine Hereford steers, with contrasting RFI values (mean ± SD): low RFI (LRFI group; −0.78 ± 0.22 kg DMI/d) vs. high RFI (HRFI group; 0.83 ± 0.34 kg DMI/d). Steers were selected from a larger contemporary population in which the RFI was evaluated. Steers were maintained under confined conditions with ad libitum access to water and feed, comprising a total mixed ration of 55% sorghum silage, 21% barley silage, 21% corn grain, and 3% protein–mineral–vitamin–premix, provided twice a day. Before the beginning of CH4 measurements, the live weight of both groups of animals was determined, which on average (±SEM) was 357.0 ± 5.11 and 334.0 ± 10.17 kg in the LRFI and HRFI groups, respectively. Methane emission (g/d) was measured on each animal with the sulfur hexafluoride (SF6) tracer technique, during two consecutive periods of 5 d. Individual daily intake and feeding behavior characteristics were measured using a GrowSafe automated feeding system (Model 6000, GrowSafe Systems Ltd, Airdrie, Alberta, Canada). Methanogens in the ruminal content were quantified using quantitative polymerase chain reaction with primers targeting the mcrA gene. Methane emission was near 27% lower in animals with LRFI when expressed in absolute terms (g/d; 26.8%; P = 0.009), by unit of dry matter intake (g CH4/kg; 27.9%, P = 0.021), or as % of gross energy intake (26.7%; P = 0.027). These differences could not be explained by differences in amount of total of methanogens (average = 9.82 log10 units; P = 0.857). However, there were some differences in animal feeding behavior that could explain these differences (e.g., LRFI animals tended to spend less time in feeders). Our results suggest that, in Hereford steers, the selection by RFI values is a promising mitigation strategy for the reduction of the emission of enteric CH4.
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49

Beauchemin, Karen A., and Sean M. McGinn. "Enteric methane emissions from growing beef cattle as affected by diet and level of intake." Canadian Journal of Animal Science 86, no. 3 (September 1, 2006): 401–8. http://dx.doi.org/10.4141/a06-021.

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A study was conducted to determine whether enteric methane (CH4) emissions from growing feedlot cattle fed backgrounding diets based on barley silage could be reduced through grain supplementation. A second objective was to determine the effects of feed intake on CH4 emissions. Eight Angus beef heifers (initial and final body weight, 328 ± 28 and 430 ± 29 kg) were used. The experiment was designed as a split-plot crossover with two diets and two 8-week periods. The main plot was the diet [dry matter (DM) basis]: high forage (70% barley silage, 30% barley-based concentrate) or high grain (30% barley silage, 70% corn-based concentrate). The sub-plot was the feeding level: unrestricted (ad libitum feed intake, 5% orts) or restricted (65% of ad libitum intake) feed intake. Methane emissions were measured during each sub-plot over 3 d using whole animal chambers. Changing the forage to concentrate ratio and substituting barley for corn did not affect CH4 emissions (141.5 g d-1; P = 0.26), and the average emission was about 10% higher than the emission calculated using the International Panel on Climate Change (IPCC) Tier 1 approach. Methane conversion rate was also similar for both diets [6.23% of gross energy intake (GEI), P = 0.29], and was similar to the value of 6.0 used in the IPCC Tier 2 approach to calculating CH4 emissions from cattle. Restricting intake reduced CH4 emissions (169 vs. 114 g d-1; P < 0.002), with the reduction in CH4 proportional to the decline in intake. Level of intake relative to maintenance energy requirements was moderately inversely related (r = -0.30; P = 0.04) to CH4 (% GEI). The proportion of GEI lost as CH4 declined by 0.77 percentage units per unit increase in level of intake above maintenance. This study shows that supplementing barley-silage-based diets with corn grain to increase diet quality has only small effects on reducing CH4 emissions. In contrast, maximizing feed intake above maintenance energy requirements increases daily CH4 emissions, but improves efficiency of CH4 conversion because CH4, as a percentage of GEI, declined. Thus, feeding cattle for maximum gain is an important CH4 mitigation strategy for the cattle industry as it reduces the proportion of feed energy lost as CH4 each day, as well as, reduces the number of days to market and associated CH4 production. Key words: Cattle, methane, greenhouse gasses
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50

Ndung'u, P. W., B. O. Bebe, J. O. Ondiek, K. Butterbach-Bahl, L. Merbold, and J. P. Goopy. "Improved region-specific emission factors for enteric methane emissions from cattle in smallholder mixed crop: livestock systems of Nandi County, Kenya." Animal Production Science 59, no. 6 (2019): 1136. http://dx.doi.org/10.1071/an17809.

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National greenhouse-gas (GHG) inventories in most developing countries, and in countries in Sub-Saharan Africa in particular, use default (Tier I) GHG emission factors (EFs) provided by the Intergovernmental Panel on Climate Change (IPCC) to estimate enteric methane (CH4) emissions from livestock. Because these EFs are based on data primarily from developed countries, there is a high degree of uncertainty associated with CH4 emission estimates from African livestock systems. Accurate Tier II GHG emission reporting from developing countries becomes particularly important following the Paris Climate agreement made at COP21, which encourages countries to mitigate GHG emissions from agricultural sources. In light of this, the present study provides improved enteric CH4 emission estimates for cattle in Nandi County, Western Kenya, representing a common livestock production system found in East Africa. Using the data from measurements of liveweight and liveweight change, milk production and locomotion collected from 1143 cattle in 127 households across 36 villages over three major agro-ecological zones covering a full year, we estimated total metabolic energy requirements. From this and assessments of digestibility from seasonally available feeds, we estimated feed intake and used this to calculate daily CH4 production by season, and, subsequently, created new EFs. Mean EFs were 50.6, 45.5, 28.5, 33.2 and 29.0 kg CH4/head.year for females (&gt;2 years), males (&gt;2 years), heifers (1–2 years), young males (1–2 years) and calves (&lt;1 year) respectively, and were lower than the IPCC Tier I estimates for unspecified African adult cattle, but higher for calves and young males. Thus, using IPCC Tier 1 EFs may overestimate current enteric CH4 emissions in some African livestock systems.
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