The online available GFLI database is a collection of feed ingredient datasets collected through Life Cycle Assessment (LCA) and is published on October 31, 2022. This is an updated version from its originally published version on November 2020 and includes a variety of changes and new feed ingredients.

Interested to learn more about the changes? Download the PowerPoint below:

The life cycle impact assessment is assessed through the ReCiPe 2016 midpoint (H) version 1.1 in SimaPro 9.0 and the Environmental Footprint 3.1 method. The system boundary depends on type of product (cultivated and processed), which is detailed in the process description in the file. Both formats include three allocation options: Economic (preferred method in Feed PEFCR), mass, and energy allocation. The full life cycle inventory assessment (LCIA) is the final product in its aggregated form.

Please consult the End User License Agreement (EULA), available during check-out and included in the download, for legal uses of the database. Keep in mind that the files are compressed into zip files so you need to unzip before using.

LCIA results of the cultivated and processed feed material (excel)

LCIA results of Brazilian higher tier data

The GFLI-Brazil project produced more precise, higher quality (“higher tier”) data on three Brazilian crops (corn, soybean, sugarcane) and three processed products (soybean meal, crude soybean oil, sugarcane molasses). These datasets are presented in a separate document to avoid confusion with Brazil data calculated using the baseline GFLI methodology. It is calculated based on the collection of more precise data and using an improved (region-specific) methodology, resulting in datasets of higher quality than the Brazil datasets calculated using the baseline GFLI methodology.

Given the use of different methodologies, the higher tier GFLI-Brazil and baseline Brazil baseline datasets cannot be easily compared and an oversimplified attempt to do so would lead to confusion/misinterpretations. The download file includes a document with details on its alternative modelling compared to the GFLI methodology.

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