Project Summary: The State of California recently launched the Short-Lived Climate Pollutant reduction strategy (SB 1383) with the objective of decreasing statewide CH4 emissions by 40% by 2030 from 2013 levels. About 52% of CH4 emissions in the State are attributed to enteric fermentation and manure management; therefore, achieving significant CH4 emission reduction from these sources will be critical to meeting SB1383 goals. Effective enteric emission reduction technologies that promote animal and public health and industry/consumer acceptance may be applicable to millions of beef and dairy cattle in the State and the country in general. This study will evaluate additives for their impact on the performance of animals (both quality and quantity of products) and animal welfare implications if they were to be introduced. The additives will have associated emissions in their production. Therefore, a LCA methodology will be implemented in order to quantify the net reduction of emissions when they are implemented at the field level. Life cycle inventory of crop production is already available and will be used in conjunction with either newly developed LCA or modify existing LCA in the literature. The project will categorize the additives based on their effectiveness and come up with a list of priorities to address knowledge gap and inform the State on priorities for further work. The LCA for California dairies has been completed. This study will build on that and expand it to the whole US.
Main duties and responsibilities: The main responsibilities and duties to be undertaken will be: Data collection of impact of feed additives from the literature; Meta-analysis of impact of feed on methane emissions; Life cycle analysis of dairy systems in the US Life cycle analysis of selected feed additives; Dissemination of results through peer-reviewed publications, project reports and conference presentations. Other duties as defined by the principal investigator. Skills/Qualifications: Quantitative (systems) modeling, IT Skills, Statistics/Mathematics training, Life cycle assessment experience, Ruminant nutrition (desirable), Capable of conducting unsupervised work, and Initiative For more information or to submit an application (completed resume and cover letter) contact: Professor Ermias Kebreab <email@example.com>, University of California, Davis