GFLI Connect x OECD At GFLI, we share a common goal with the OECD: building alignment and creating a level playing field for environmental impact reporting. As reporting needs evolve, the demand for data that is more explicit, representative, and credible continues to grow. GFLI is helping to meet this challenge by supporting the use […]
GFLI Connect X LVVN We’re proud to highlight the Dutch Ministry of Agriculture, Nature and Food Quality, an active partner in fostering collaboration within the Global Feed LCA Institute. In our latest interview, Jasper Dalhuisen, Dutch Agricultural Counselor to the OECD, shares why The Netherlands—one of the world’s largest producers of animal proteins—values the work
From Dialogue to Impact: OECD, The Netherlands & Sector Dynamics Read More »
GFLI is proud to be featured in Feed & Additive Magazine’s article “Measuring environmental footprint of animal feed” (September 2025), highlighting our role as the global reference for feed LCA data. The piece explores how GFLI’s science-based methodology, aligned with FAO-LEAP and PEFCR-Feed, provides consistent, high-quality datasets across the value chain—bridging suppliers, companies, and policymakers while addressing
Measuring environmental footprint of animal feed Read More »
We’re excited to share a first glimpse of something exciting we are organizing for GFLI.In this short interview, Jasper Dalhuisen (OECD – OCDE) and Arjen Voortman (GFLI) discuss the role of the OECD in shaping international policy, the importance of collaboration across the food system, and how data transparency can help accelerate regulatory environmental footprint reporting. 📍 LVVN Attaché Network
Sneak preview: Something exciting is coming! Read More »
In a major leap forward for environmental transparency in the seafood sector, a new collaboration is underway between GFLI (Global Feed LCA Institute), Sjømat Norge, and LCA.no. Their joint project, funded by FHF (The Norwegian Seafood Research Fund), aims to deliver a cutting-edge, cloud-based tool for environmental data generation — the first of its kind to comply with both GFLI standards
