Feedstock Readiness Level (FSRL) evaluation: Saccharum spp. (energy cane), Alcohol-to-Jet, Southeast, Jun. 2017

Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress.

The data from this evaluation, compiled in June 2017, assesses the maturity of Saccharum spp. (energy cane), as a feedstock for the Alcohol-to-Jet conversion process in the United States South region.

Farm2fly Program

Feedstock Readiness Level (FSRL) evaluation: Millettia pinnata (pongamia), hydroprocessing (HEFA), Southeast, May 2017

Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress.

The data from this evaluation, compiled in May 2017, assesses the maturity of Millettia pinnata (pongamia), as a feedstock for the hydroprocessed esters and fatty acids (HEFA) conversion process in the United States Southeast region.

Farm2fly Program

Measured Annual Nutrient loads from AGricultural Environments (MANAGE) database

The MANAGE (Measured Annual Nutrient loads from AGricultural Environments) database was developed to be a readily-accessible, easily-queried database of site characteristic and field-scale nutrient export data. Initial funding for MANAGE was provided by USDA-ARS to support the USDA Conservation Effects Assessment Project (CEAP) and the Texas State Soil and Water Conservation Board as part of their mission to understand and mitigate agricultural impacts on water quality. MANAGE contains data from a vast majority of published peer-reviewed N and P export studies on homogeneous cultivated, pasture/range, and forested land uses in the US under natural rainfall-runoff conditions, as well as artificially drained agricultural land. Thus MANAGE facilitates expanded spatial analyses and improved understanding of regional differences, management practice effectiveness, and impacts of land use conversions and management techniques, and it provides valuable data for modeling and decision-making related to agricultural runoff.

Agroecosystems & Environment