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Modeling by MSU gives farmers insights into carbon efforts
Precision modeling research at Michigan State University will help farmers quantify and validate carbon intensity scores.
Bruno Basso tells Brownfield, “The dynamic baseline looks at what if you were to maintain the conventional tillage, where would you end up compared to the no tillage and the cover crops and the regenerative practices—it provides farmers with a much more realistic and accurate understanding.”
“If a farmer moves into fully regenerative practices, the net climate benefits are obtained, which means that agriculture becomes negative, so we basically sequester a lot more than we emit,” he shares.
Basso says farmers this fall will also be able to use the information to simulate how practice changes impact yield.
The model analyzed 100 million acres of corn and soybeans in rotation across the Midwest.
