RESEARCH

MSU Cracks Carbon Code with New Soil System

MSU tool cuts soil carbon prediction errors to 36%, raising hopes for credible, scalable regenerative agriculture

17 Jul 2025

Carbon credit icon over dense green forest canopy viewed from above.

A new breakthrough from Michigan State University could reshape carbon markets by solving one of their deepest flaws: scientific uncertainty. Researchers at MSU have unveiled a soil carbon credit system that dramatically sharpens the accuracy of climate impact measurements, unlocking new potential for regenerative agriculture across the U.S.

Carbon markets have long promised to reward farmers for practices like no-till farming and cover cropping, but shaky science has held them back. Traditional systems used inconsistent baselines and overlooked key emissions data, leaving farmers underpaid and buyers unconvinced.

That may now change. Led by MSU professor Bruno Basso, researchers tested their new dynamic baseline system across 12 Midwestern states covering approximately 46 million hectares. Using eight scientific models, the team reduced uncertainty in soil carbon predictions from 99 percent to just 36 percent. The system also factors in nitrous oxide, a potent greenhouse gas typically left out of earlier frameworks.

The emissions impact is significant. Pairing no-till practices with cover crops could cut emissions by around 1.2 metric tons per hectare each year. Across the tested region, that equates to potential reductions of over 16 million metric tons annually.

Industry groups are taking note. The Soil Inventory Project (TSIP) has praised the system for making carbon markets more accessible and lowering costs for farmers. While companies like General Mills and PepsiCo have made public commitments to regenerative agriculture, this new research could support such efforts by providing more reliable data if these firms choose to adopt it.

Some experts remain cautious, noting that complex modeling systems can still miss localized variables or break down during extreme weather events. There are also implementation challenges for smaller registries that may lack technical capacity.

Even so, MSU's team believes the system simplifies participation by offering pre-calculated, science-backed baselines that make climate claims more credible. As carbon markets seek stronger footing, this development offers a new foundation, grounded in data, for scaling regenerative practices and financing sustainable farming across the nation.

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