[en] This study aimed to evaluate diurnal methane (CH4) emission dynamics of grazing cattle and highlight their relationships with biotic factors such as the feeding behaviour as well as seasonal changes in pasture characteristics. Existing methods to assess grazing ruminants’ daily CH4 emissions provide useful insights to investigate mitigation strategies relying on feeding and genetic selection. Nonetheless such methods based on tracer gases (SF6) or feeding bins equipped with sniffers (e.g. GreenFeed) can hardly cover diurnal CH4 emission fluctuations which can influence the accuracy of total CH4 production estimations. Previous studies in barns showed that emission dynamics strongly vary during post feeding time, leading to a possible bias in estimates of daily CH4 emissions as high as 100%. To investigate whether such fluctuations are also taking place on pasture, a portable device was designed with infrared CH4 and CO2 sensors measuring concentrations in the exhaled air at a high sampling rate (4 Hz). Six grazing dry red-pied cows were equipped with the device and motion sensors during runs of 24h to monitor CH4 and CO2 emissions and detect their feeding behaviours (grazing, rumination and other behaviours), respectively. This experiment was performed in summer and fall in order to cover seasonal changes in pasture forage quality. Methane emission was estimated from the CH4:CO2 concentration ratio and the metabolic CO2 production of the cows. As for barn studies, variations were observed in total daily CH4 emission due to the seasons and diurnal variations were also observed due to animal behaviours. Relationships between animal feeding behaviour and CH4 emissions patterns on pasture were also unravelled.
Disciplines :
Agriculture & agronomy
Author, co-author :
Blaise, Yannick ; Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Andriamandroso, Andriamasinoro ; Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Heinesch, Bernard ; Université de Liège > Ingénierie des biosystèmes (Biose) > Biosystems Dynamics and Exchanges
Beckers, Yves ; Université de Liège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Andriamandroso, A.L.H., Lebeau, F., Beckers, Y., Froidmont, E., Dufrasne, I., Heinesch, B., Dumortier, P., Blanchy, G., Blaise, Y., Bindelle, J. 2017. Development of an open-source algorithm based on inertial measurement units (IMU) of a smartphone to detect cattle grass intake and ruminating behaviors. Computers & Electronics Agriculture 139:126–137
Blaise, Y., Lebeau, F., Andriamandroso, A., Beckers, Y., Heinesch, B., Bindelle, J. 2016. High rate monitoring CH4 production dynamics and their link with behavioral phases in cattle. In EAAP–67 th Annual Meeting, Belfast 2016.
Decruyenaere, V., Planchon, V., Dardenne, P., Stilmant, D. 2015. Prediction error and repeatability of near infrared reflectance spectroscopy applied to faeces samples in order to predict voluntary intake and digestibility of forages by ruminants. Animal Feed Science and Technology, 205, 49–59.
Dumortier, P., Aubinet, M., Beckers, Y., Chopin, H., Debacq, A., Gourlez de la Motte, L., Heinesch, B. 2017. Methane balance of an intensively grazed pasture and estimation of the enteric methane emissions from cattle. Agricultural and Forest Meteorology, 232, 527–535.
Garnsworthy, P. C., Craigon, J., Hernandez-Medrano, J. H., Saunders, N. 2012. Variation among individual dairy cows in methane measurements made on farm during milking. Journal of Dairy Science, 95(6), 3181–3189.
Gourlez de la Motte, L., Jérôme, E., Mamadou, O., Beckers, Y., Bodson, B., Heinesch, B., Aubinet, M. 2016. Carbon balance of an intensively grazed permanent grassland in southern Belgium. Agricultural and Forest Meteorology, 228–229, 370–383.
Hammond, K. J., Jones, A. K., Humphries, D. J., Crompton, L. A., Reynolds, C. K. 2016. Effects of diet forage source and neutral detergent fiber content on milk production of dairy cattle and methane emissions determined using GreenFeed and respiration chamber techniques. Journal of Dairy Science, 99(10), 7904–7917.
Haque, M. N., Cornou, C., Madsen, J. 2014. Estimation of methane emission using the CO2 method from dairy cows fed concentrate with different carbohydrate compositions in automatic milking system. Livestock Science, 164(1), 57–66.
Hegarty, R. S. 2013. Applicability of short-term emission measurements for on-farm quantification of enteric methane. Animal: An International Journal of Animal Bioscience, 7 Suppl 2, 401–8.
IPCC. 2007. Climate change 2007: the physical science basis. Intergovernmental Panel on Climate Change, 446(7137), 727–8.
Johnson, K. A., Johnson, D. E. 1995. Methane emissions from cattle. Journal of Animal Science, 73(8), 2483–2492.
Madsen, J., Bjerg, B. S., Hvelplund, T., Weisbjerg, M. R., Lund, P. 2010. Methane and carbon dioxide ratio in excreted air for quantification of the methane production from ruminants. Livestock Science, 129(1–3), 223–227.
Martin, C., Ferlay, A., Mosoni, P., Rochette, Y., Chilliard, Y., Doreau, M. 2016. Increasing linseed supply in dairy cow diets based on hay or corn silage: Effect on enteric methane emission, rumen microbial fermentation, and digestion. Journal of Dairy Science, 99(5), 3445–3456.
NOAA, 2017. Trends in Atmospheric Carbon Dioxide [Online] .Available: https://www.esrl.noaa.gov/gmd/ccgg/trends_ch4/
Saunois, M., Bousquet, P., Poulter, B., Peregon, A., Ciais, P., Canadell, J. G., … Zhu, Q. (2016). The Global Methane Budget: 2000-2012. Earth System Science Data Discussions, (June), 1–79.
Storm, I. M. L. D., Hellwing, A. L. F., Nielsen, N. I., Madsen, J. 2012. Methods for measuring and estimating methane emission from ruminants. Animals. 2:160–183
Tamminga, S., Van Straalen, W. M., Subnel, A. P. J., Meijer, R. G. M., Steg, A., Wever, C. J. G., Blok, M. C. 1994. The Dutch protein evaluation system: the DVE/OEB-system. Livestock Production Science, 40(2), 139–155.
Velazco, J. I., Mayer, D. G., Zimmerman, S., Hegarty, R. S. 2015. Use of short-term breath measures to estimate daily methane production by cattle. Animal, 1–9.
