Great Lakes Bioenergy Research Center (GLBRC)

@glbioenergy.bsky.social

Creating economically and environmentally sustainable biofuels and bioproducts from plants https://www.glbrc.org/

When is the best time to replant bioenergy crops?  GLBRC researchers analyzed 200+ plantings of switchgrass and miscanthus across MI and WI and found that replanting at the right time can help maintain yields and maximize long-term profits for farmers. Read more:

Replanting bioenergy crops at the right time maximizes profits

Switchgrass and miscanthus are considered good bioenergy crops. They can grow on lower quality lands not used for food production, add carbon to the soil, and be converted into fuels and chemicals…

glbrc.org

GLBRC researchers developed toolkits using Mobile-CRISPRi and synthetic promoters to control gene expression in microbes like Zymomonas mobilis.  The goal: engineer strains that resist toxins and produce more fuels and bioproducts from biomass. Learn more:

Genetic toolkits boost biofuel production

Microbes devour plant material, like leaves and stems from native plants, and convert it into biofuels and bioproducts. But in the process, the deconstructed plant material releases toxins that get…

glbrc.org

New research from the GLBRC explores how efflux pumps can balance energy efficiency and selectivity. The study found that more efficient pumps can expel a broader range of toxins, which could help microbes better survive industrial fermentation processes. Read more:

Energy efficient proteins expel more types of toxins

Bacteria and other microbes can convert plant fibers into sustainable fuels and chemicals used to make plastics, medicines, and other products. But chemicals used in processing or in the plants…

glbrc.org

Researchers at the GLBRC built a hybrid machine learning + ecosystem model that predicts cropland nitrous oxide emissions with >80% accuracy, using data from 17 Midwest sites. Better predictions could support smarter mitigation strategies for agriculture. Read more:

Machine learning helps predict cropland emissions

Great Lakes Bioenergy Research Center scientists at Michigan State University have developed a groundbreaking machine learning system capable of predicting nitrous oxide emissions from U.S. croplands…

glbrc.org