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Reducing the Effects of Cattle Farming with Methane Monitor
In 2018, there were an estimated 1.002 billion head of cattle worldwide, an increase of 6.5 million head over 2017.1 Global meat production has continued, and is seemingly continuing, to rise and although cattle now accounts for a relatively smaller percentage of overall meat consumption, there were still over 68 billion tonnes of cattle meat produced in 2014.2 Beef exported from the US alone in 2018 was worth 7.3 billion dollars3 so cattle farming remains big and profitable business.
However, there have been growing concerns about the environmental impact of cattle farming. This is largely because cattle produce a significant amount of methane gas, between 250 - 500 L per day.4 Methane is a more efficient and effective heat-trap than CO2, the most abundant greenhouse gas in the atmosphere, and therefore potentially has a large contribution towards global warming.
As livestock is a key source of nutritional and economical sustenance for many communities, cattle farming is unlikely to disappear in the immediate future. Therefore, finding ways to reduce methane production from cows is an important route to improving the sustainability of cattle farming and minimizing its environmental impact.
Reducing Methane Production
Finding ways to reduce methane production from cows is currently a highly active area of research. Cows, and other ruminant species, produce methane as part of their digestion process. This is because ruminants are one of the few species that can digest cellulose, which is what the cell walls in plants are composed of. Breaking down cellulose is a multi-step process, involving regurgitation and re-ingestion of the food and the use of a large array of microbes that carry out fermentation of the plant material. The fermentation process is what generates the majority of methane gas, which exits the cow via eructation (burping) or flatus (farts).
Much of the research aimed to reduce this methane production involves finding methods to alter the digestive process and microbes in the cow's stomach. Some success has been found by either changing the composition of the ruminants' diets, such as increasing the amount of sugarcane feed5 or by the introduction of chemicals that act as methane inhibitors.6 The challenge with using additives is finding chemical species that are non-toxic and do not have unwanted side effects on produce, be it the meat or milk of the animal.
However, all of this research relies on being able to monitor methane production in cattle accurately and unobtrusively. Indirect calorimetry respiration chambers are often considered to be the 'gold standard' of methane measurement methods7 but involve large capital investment, are not ideally suited for use with large numbers of animals and require confinement of the animal, which may make such measurements not truly reflective of normal behavior.8
As changes in methane emission from dietary changes may be small, sensing technologies need to have good sensitivity as well as reproducibility and accuracy. Recent work has shown that non-dispersive infra-red (NDIR) sensor technologies show greater repeatability for measurement of methane concentrations and that the concentrations measured were in line with those measured by other techniques.9 NDIR sensor technologies are particularly effective for methane detection for the same reason it is such an efficient heat trap in the atmosphere, methane strongly absorbs infra-red light.
Edinburgh Sensors have thirty years of experience in the development of NDIR gas sensors for the monitoring of hydrocarbons and other gaseous species. Their NDIR devices have already been demonstrating the ability to work well for detecting methane production in cows9 in field environments and are designed to be robust, easy to install and use.
The Guardian NG is an example of a Methane monitor that is ideal for such applications, capable of detecting methane in low concentrations of 0 - 1 %.10, 11 The Guardian NG has an R323 interface with the option of TCI/IP communications protocol so can be connected to data logging networks to monitor in real-time changes in methane emission levels. The sensor also comes with data logging software, so only requires connection with a cable to a PC to be able to start instantly recording measurements.12
The device is designed to be robust, with minimal installation and set-up time. The zero stability is ±2% of range (over 12 months) with an excellent ±2% accuracy. Important for use on live farm environments, the readouts are also temperature, pressure and humidity compensated and will remain accurate over 0 - 95 % humidity conditions.
The Guardian NG only requires connection to a reference gas for set up and has a rapid response time, with a T90 of just 10 seconds. This is ideal for where samples from multiple cattle need to be processed quickly or a large number of samples are being taken per day. It can be set up as an automated gas analyzer installs to minimize the amount of personnel time involved in the monitoring. This is also completely noninvasive monitoring for the cattle and does not require trying to take samples from them, making the Guardian NG a cost-effective and easy solution for methane monitoring of cattle.
References and Further Reading
1. Food and Agriculture Organization (2020) http://www.fao.org, accessed 28/02/2020
2. Meat Production (2020), https://ourworldindata.org/meat-production, accessed 28/02/2020
3. WorldBank (2016), http://siteresources.worldbank.org/INTAFRICA/Resources/257994-1215457178567/Cattle_and_beef_profile.pdf, accessed 28/02/2020
4. Johnson, K. A., & Johnson, D. E. (1995). Methane Emissions from Cattle. J. Anim. Sci., 73, 2483-2492.
5. Hulshof, R. B. A., Berndt, A., Gerrits, W. J. J., Zijderveld, S. M. Van, Newbold, J. R., & Perdok, H. B. (2012). Dietary nitrate supplementation reduces methane emission in beef cattle fed. Journal of Animal Science, 90(7), 2317-2323. https://doi.org/10.2527/jas2011-4209
6. Hristov, A. N., Oh, J., Giallongo, F., Frederick, T. W., Harper, M. T., Weeks, H. L., Kindermann, M. (2015). An inhibitor persistently decreased enteric methane emission from dairy cows with no negative effect on milk production. PNAS, 112(34), 10663-10668. https://doi.org/10.1073/pnas.1504124112
7. Gold - Difford, G. F., Olijhoek, D. W., Hellwing, A. L. F., Lund, P., Bjerring, M. A., de Haas, Y., Løvendahl, P. (2018). Ranking cows' methane emissions under commercial conditions with sniffers versus respiration chambers. Acta Agriculturae Scandinavica A: Animal Sciences, 68(1), 25-32. https://doi.org/10.1080/09064702.2019.1572784
8. Grainger, C., Clarke, T., McGinn, S. M., Auldist, M. J., Beauchemin, K. a, Hannah, M. C., Waghorn, G. C., et al. (2007). Methane emissions from dairy cows measured using the sulfur hexafluoride (SF6) tracer and chamber techniques. Journal of Dairy Science 90(6), 2755-2766.
9. Rey, J., Atxaerandio, R., Ruiz, R., Ugarte, E., González-Recio, O., Garcia-Rodriguez, A., & Goiri, I. (2019). Comparison between non-invasive methane measurement techniques in cattle. Animals, 9(8), 1-9. https://doi.org/10.3390/ani9080563
10. OEM Sensors (2020), https://edinburghsensors.com/products/oem-co2-sensor/, accessed 28/02/2020
11. Methane Sensors (2020), https://edinburghsensors.com/methane-and-carbon-dioxide-sensing-for-anaerobic-digestion-and-biogas/, accessed 28/02/2020
12. Gascard NG (2020), https://edinburghsensors.com/products/gas-monitors/, accessed 28/02/2020
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