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Understanding the development and control of stability in the rumen microbiome as a basis for new strategies to reduce methanogenesis – RumenStability
The project will identify and exploit long-term effects of short-duration dietary treatments on methane production, rumen function and responses to methane mitigation interventions at a later stage. There will be a focus on manipulations in early life, when the rumen community is developing, but
Robust models for assessing the effectiveness of technologies and managements to reduce N2O emissions from grazed pastures – Models4Pastures
Models4Pastures will test, improve, and then use, simulation models to provide robust assessments of the impact of N2O mitigation options in grassland systems across a large geographic and climatic range. Our models and assessments will take into account the effects of the mitigation option, and
Increasing Adoption of Mitigation Options to Minimise Agricultural GHG Emissions – I.N.C.O.M.E
This research will: l Identify & validate ‘low cost’ mitigation options l Clarify barriers preventing low-cost mitigation adoption l Deliver new findings to support farmer decision making l Develop & test novel communication/extension strategies l Communicate research findings through various m
Global network for the development and maintenance of nutrition-related strategies for mitigation of methane and nitrous oxide emissions from ruminant livestock – GLOBAL NETWORK
Ruminant husbandry is a major source of anthropogenic greenhouse gases (GHG). There is a large body of nutrition-related GHG and ammonia (NH3) mitigation data. These data, however, are not well organized. The GLOBAL NETWORK we propose herein will accumulate, analyze, and systematize these existin
Whole-farm GHG estimation and environmental diagnostics platform – COMET-Global
Access to reliable and readily available estimates of the consequence of different land use and management practices on greenhouse gas (GHG) emissions is a prerequisite for successful implementation of land use-based GHG mitigation strategies. Moreover, this information is needed at the level at
C and N Models Intercomparison and Improvement to assess management options for GHG mitigation in agrosystems worldwide – CN-MIP
The objective of the CN-MIP project was to assess and improve predictions of the effects of agricultural practices on soil greenhouse gas (GHG) emissions. The project used crop models jointly simulating crop production and these emissions (CO2, N2O, CH4) in a «model ensemble« approach to reduce unce
