Global ETD Search
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Showing 1 to 6 of 6 for “"Enteric Methane Emissions"”.
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Enteric methane emissions mitigation in U.S. beef production: industry adoption, public perception, and potential market impacts
Chapter 1 Cattle are ruminant livestock that emit enteric methane (CH₄) as part of their natural digestive process. The U.S. beef cattle industry is receiving pressure to reduce greenhouse gases emissions, including methane. The U.S. Roundtable for Sustainable Beef has set a target for the U.S. …
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Evaluation of Swath Grazing Simple and Complex Polycrop Mixtures on Forage Biomass and Quality, Beef Cow Performance and Enteric Methane Emissions, System Economics and Soil Health Characteristics
… and quality, beef cow performance and intake, methane emissions, soil characteristics and system economics. Forage treatments included (1) CDC Haymaker oat (Avena sativa) (Control); (2) CDC Haymaker oat, Goliath brassica (Brassica napus), hairy vetch (Vicia villosa), CDC Jasper pea (Pisum …
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Microbial Regulation of Soil Greenhouse Gas Emissions in a Non-Bloat Legume Grazing System
… pastures are a source of greenhouse gas (GHG) emissions, including enteric methane from ruminating cattle, carbon dioxide (CO2), and nitrous oxide (N2O) from microbial respiration of soil carbon (C) and nitrogen (N). Producers may introduce non-bloat legumes to cattle pastures to improve soil N …
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Life cycle environmental impacts of utilizing hemp seed meal as a protein source in sheep feedlot rations
… The use of IPCC Tier 2 methods for estimating enteric methane emissions from sheep resulted in a 7.5–8.5% increase in the carbon footprint, relative to a mechanistic equation present in the Ruminant Nutrition System model. Physical allocation resulted in greater impacts of the hemp diet systems …
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Modelling New Zealand dairy farm systems to design greenhouse gas mitigation strategies
… nation progresses in its efforts to reduce these emissions, is likely that the dairy industry will face physical constraints and/or financial costs associated with their mitigation. For this study, a non-linear optimization model was developed to analyse the cost-effectiveness of diverse …