数字农科院2.0

A Review Of Enteric Methane Emission Measurement Techniques In Ruminants

文献类型： 外文期刊

作者： Zhao, YG; Nan, XM; Yang, L; Zheng, SS; Jiang, LS; Xiong, BH

作者机构：

关键词： Greenhouse Gas; Methane; Measurement Technique; Ruminants

期刊名称： ANIMALS

ISSN： 2076-2615

年卷期： 2020 年 10 卷 6 期

页码：

收录情况： JCR（2021版）

摘要： Simple Summary Enteric methane emissions from ruminants are a major contributor to atmospheric greenhouse gas accumulation in agricultural production systems, which may consequently contribute to climate change. Accurate measurement of methane production in ruminants is vital to develop robust national greenhouse gas emission inventories and to evaluate mitigation strategies of methane emissions. This review summarizes several common methane measurement techniques suitable for ruminant production and discusses the advantages and disadvantages of each method. There is not a perfect technique for all situations. The appropriate technique depends on the objectives and resources available. Sophisticated techniques such as respiration chambers, sulphur hexafluoride tracer and ventilated hood are usually highly accurate but labor and time intensive. Simplified techniques such as GreenFeed, sniffer method, facemask, laser methane detector and portable accumulation chamber may be less accurate but are rapid with a high throughput. In general, an understanding of measurement mechanisms and the advantages and disadvantages with an appreciation of animal behavior and welfare is necessary for all techniques. To identify relationships between animal, dietary and management factors and the resulting methane (CH4) emissions, and to identify potential mitigation strategies for CH(4)production, it is vital to develop reliable and accurate CH(4)measurement techniques. This review outlines various methods for measuring enteric CH(4)emissions from ruminants such as respiration chambers (RC), sulphur hexafluoride (SF6) tracer, GreenFeed, sniffer method, ventilated hood, facemask, laser CH(4)detector and portable accumulation chamber. The advantages and disadvantages of these techniques are discussed. In general, RC, SF(6)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 CH(4)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 CH(4)emission measurement in ruminants.

分类号：

  • 相关文献

[1]Biochar promotes soil organic carbon sequestration and reduces net global warming potential in apple orchard: A two-year study in the Loess Plateau of China. Han J., Zhang A., Kang Y., Han J., Yang B., Hussain Q., Wang X., Zhang M., Khan M.A.. 2022

[2]Longitudinal Investigation Of The Gut Microbiota In Goat Kids From Birth To Postweaning. Zhuang, YM, Chai, JM, Cui, K, Bi, YL, Diao, QY, Huang, WQ, Usdrowski, H, Zhang, NF. 2020

[3]Effects of housing system, measurement methods and environmental factors on estimating ammonia and methane emission rates in dairy barns: A meta-analysis. Qingbo Qu,Jeroen C.J. Groot,Keqiang Zhang,Rogier P.O. Schulte. 2021

[4]Consequences Of Inhibiting Methanogenesis On T.he Biohydrogenation Of Fatty A cids In Bovine Ruminal Digesta. McKain, Nest,Yang, Chengjian,Wallace, R. John,McCartney, Christine A.,Yang, Chengjian. 2019

[5]Preferential Degradation Of Long-Chain Alkyl Substituted Hydrocarbons In Heavy Oil Under Methanogenic Conditions. Cheng, Lei,Cheng, Lei,Liu, Lai-yan,Yang, Lu,Zhang, Yahe,Dolfing, Jan,Shi, Sheng-bao,Shi, Quan,Li, Qiang,Tu, Bo,Dai, Li-rong,Sun, Yong-ge,Zhang, Hui. 2019

[6]Gut Microbiota Of Wild And Captive Alpine Musk Deer (Moschus Chrysogaster). Sun, YW, Sun, YJ, Shi, ZH, Liu, ZS, Zhao, C, Lu, TF, Gao, H, Zhu, F, Chen, R, Zhang, J, Pan, RL, Li, BG, Teng, LW, Guo, ST. 2020

[7]Interactive Effects Of Straw Incorporation A.nd Tillage On Crop Y ield And Greenhouse Gas Emissions In Double Rice Cropping System. Zhang, J, Hang, XN, Lamine, SM, Jiang, Y, Afreh, D, Qian, HY, Feng, XM, Zheng, CY, Deng, AX, Song, ZW, Zhang, WJ. 2017

[8]Ruminal Fermentation, Nutrient Metabolism, And M.ethane Emissions Of Sheep I n Response To Dietary Supplementation With Bacillus Licheniformis. Deng, KD, Xiao, Y, Ma, T, Tu, Y, Diao, QY, Chen, YH, Jiang, JJ. 2018

[9]Responses Of Yield, Ch4 And N.2O Emissions To Elevated A tmospheric Temperature And Co2 Concentration In A Double Rice Cropping System. Wang, B, Li, JL, Wan, YF, Li, Y, Qin, XB, Gao, QZ, Waqas, MA, Wilkes, A, Cai, WW, You, SC, Zhou, SH. 2018

[10]Meta-analysis of greenhouse gas and ammonia emissions from dairy manure composting. Groot, Jeroen C. J.,Qu, Qingbo,Qu, Qingbo,Zhang, Keqiang,Ba, Shidi. 2020

[11]Influence pathway of iron ions with different valences for methane fermentation of vegetable waste. Li J., Lei Y., Pu X., Liu Y., Tang Y.. 2022

[12]Greenhouse Gas Emissions From A R.ice-Rice-Green Manure Cropping System I n South China. Raheem, A, Zhang, J, Huang, J, Jiane, Y, Siddik, MA, Denga, AX, Gao, JS, Zhang, WJ. 2019

[13]Effects Of Different Molecular Weights Of Chitosan On Methane Production And Bacterial Community Structure In Vitro. Tong, JJ, Zhang, H, Wang, J, Liu, Y, Mao, SY, Xiong, BH, Jiang, LS. 2020

[14]Effects Of Mineral Salt Supplement O.n Enteric Methane Emissions, R uminal Fermentation And Methanogen Community Of Lactating Cows. Li, XH, Liu, C, Chen, YX, Shi, RG, Cheng, ZH, Dong, HM. 2017

[15]Human Waste Anaerobic Digestion As A Promising Low-Carbon Strategy: Operating Performance, Microbial Dynamics And Environmental Footprint. Duan, N, Zhang, DJ, Khoshnevisan, B, Kougias, PG, Treu, L, Liu, ZD, Lin, C, Liu, HB, Zhang, YH, Angelidaki, I. 2020

[16]Quantifying The Effects Of Biochar Application On Greenhouse Gas Emissions From Agricultural Soils: A Global Meta-Analysis. Zhang, Q, Xiao, J, Xue, JH, Zhang, L. 2020

[17]Ruminal Methanogenic Responses To The Thiamine Supplementation In High-Concentrate Diets. Xue, FG, Wang, Y, Zhao, YG, Nan, XM, Hua, DK, Sun, FY, Yang, L, Jiang, LS, Xiong, BH. 2020

[18]Hythane and methane production in a multistage anaerobic hythane reactor (MAHR): Stage separation, functional microbe selection, thermodynamics, and kinetics. Tang S., Huang S., Jiang W., Lu H., Zhang Y., Zhou B., Si B.. 2022

[19]Could propionate formation be used to reduce enteric methane emission in ruminants?. Wang K., Xiong B., Zhao X.. 2023

[20]Greenhouse gas emissions and stocks of soil carbon and nitrogen from a 20-year fertilised wheat -maize intercropping system: A model approach. Zhang, Xubo,Xu, Minggang,Sun, Nan,Wang, Boren,Zhang, Xubo,Wu, Lianhai,Liu, Jian.

作者其他论文 更多>>