2022
Crop Rotation Life Cycle Analysis
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
Enabling technologyNutrient managementSustainability
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Michael Wang, Argonne National Laboratory
Co-Principal Investigators:
Project Code:
2220-172-0161-A1
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:
There is a clear technical path for greenhouse gas (GHG) emission reductions from corn production using a tiered approach that suggests immediate activities and high-impact research areas (Northrup et al., 2021). In addition, Argonne has released a new version of its Feedstock Carbon Intensity Calculator (FD-CIC) so that in addition to corn, it has worksheets for soybeans, sorghum, and rice (Liu et al., 2021). Following the completed study for corn and the new FD-CIC version, we will perform detailed simulations of soybean-based biofuels with the FD-CIC and the GREET model and develop a new module and method to attribute the sequestration and emissions of multi-year crop rotations.
Information And Results
Project Summary

Project Objectives

Project Deliverables

Progress Of Work

Final Project Results

With the support from ARPA-E’s Systems for Monitoring and Analy??cs for Renewable Transporta??on Fuels from Agricultural Resources and Management (SMARTFARM) project, Argonne has been developing the Feedstock Carbon Intensity Calculator (FD-CIC) to calculate feedstock-specific, farm-level CI of biofuel feedstocks. The FD-CIC tool released in 2022 is configured to generate single-year CI for common U.S. feedstocks, such as corn, soybeans, sorghum, and rice, as well as interna??onal feedstock, such as Canadian corn and Brazilian sugarcane. To es??mate the life cycle GHG emissions of soybean produc??on from mul??-year crop rota??ons and varying farming prac??ces, we assessed farming energy/chemical inputs and conducted detailed soil organic carbon (SOC) modeling of soybean produc??on from common crop rota??ons including corn-soybean (CS) and corn-corn-soybean (CCS). Based on the analysis and modeling results, we expanded FD-CIC to account for the GHG emission impacts of mul??-year crop rota??ons. The new version of FD-CIC can generate two types of results: 1) landscape-based LCA results over the two or three years of crop rota??on, in grams of GHG emissions per acre of cropland; and 2) crop-specific LCA results, including soybean-specific CI, under different crop rota??ons, in grams of GHG emissions per bushel (bu) of a specific crop.

Benefit To Soybean Farmers

This update to existing tools that estimate carbon intensity scores takes the multicrop rotations that soybeans are gorwn into account.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.