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Description: Methane gas (CH4) is one of the primary greenhouses gas (GHG), and major emissions from agriculture are from the livestock industry because of the enteric fermentation in large ruminants. Precise and consistent methane emission measurements are critical for formulating mitigation approaches to lessen the impact of livestock operations on climate change. Top-down and bottom-up methods are the two primary techniques that have emerged for calculating methane emissions from dairy and beef animals. This review highlights methane detection and characterization methodologies, including their scopes, benefits, and drawbacks. Bottom-up approaches, such as feed intake measurements, metabolic methods, and mechanistic simulation models can provide precise information on methane generation sources and mechanisms. Top-down approaches, including remote sensing and atmospheric modeling, can generate spatiotemporal integrated estimates of emissions at broader scales. While each method has advantages and disadvantages, combining the two may result in the most thorough and accurate evaluation of methane emissions from feedlots. This assessment will assist researchers and policymakers seeking to implement Canada?s 2030 Emissions Reduction Plan to reach an emissions reduction target of 40-45% below 2005 levels by 2030 and net-zero emissions by 2050.

Keywords: Methane emission, Livestock operations, Climate change, Dairy and Beef animals
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Date: 2023-07-23
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Conference name: CSBE/SCGAB 2023 Annual Conference, Lethbridge, Alberta, 23-26 July 2023.
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Type: Poster
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Publication type: Text.Abstract
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Coverage: North_America
Language 1: en
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Rights: Canadian Society for Bioengineering
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