SUSTAINABILITY 74 FEED & ADDITIVE MAGAZINE May 2024 “Sustainability metrics are becoming a necessary tool for communicating with your supply chain about progress toward sustainable production, and more frequently, downstream partners are already requesting such information. The GFLI now offers a methodology for companies to validate their company-specific ingredient or product, aligned with the GFLI methodology and with the possibility to have this data included in the GFLI database.” The GFLI database currently consists of over 1800 datasets of all major feed ingredients, populated in part by baseline statistical datasets as well as by data-in providers, following the principle of life-cycle analysis (LCA) to scope the emissions of an ingredient’s production cycle (from cradle-togate). Data providers create a bridge between statistics and industry, creating representative data based in part on primary figures. This is a way for the industry to be proactive in gathering relevant data and showcasing not only a ‘current situation’ overview of the emissions related to their ingredient production, but also supports continuous improvement tracking over the years. INCREASING DATASETS THROUGH “DATA-IN PROJECTS” Through sectoral data provision projects (i.e. “data-in projects”), a consortium of companies, an association of member companies, or research institutes create a proposal for collecting the relevant data for a list of ingredients which will be calculated per the GFLI methodology. Following the GFLI procedures for a data-in project, a complete LCA inventory is created, which can then be shared with the GFLI for data integration. All data provided to GFLI is handled confidentially, with no traceability to your company facilities. Sectoral data-in projects allow for companies to take their first steps towards their sustainability journey, with primary data supplementing available secondary data. Using representative averages is relevant as a fall-back option when it is not possible to access primary data because high quality averaged data can still reflect the sector’s efforts to achieve sustainable production. WHAT’S THE RELEVANCY OF PARTICIPATING IN A SECTORAL DATAIN PROJECT? • Sectoral datasets provide a benchmark for any governmental body, research institutes, and companies, that look for high-quality secondary datasets to understand the averaged emissions of an ingredient, influencing research and regulatory decisions made on representative data; SUSTAINABILITY IN ANIMAL FEED PRODUCTION: Get involved with the GFLI Laura Nobel, MSc. Manager The Global Feed LCA Institute (GFLI)
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