Study paves way to more efficient production of 2G ethanol using specially modified yeast strain
Wednesday, 29 March 2023 by CBMEG-Suporte
Researchers discovered novel targets for metabolic engineering in a more robust strain of industrial yeast.
- Published in CBMEG in the Media
Researchers analyze performance of bacterium in combating coffee rust
Wednesday, 21 December 2022 by CBMEG-Suporte
New study analyzed the potential of a bacterium for biological control of the fungus Hemileia vastatrix, which causes coffee rust.
- Published in CBMEG in the Media
Artificial intelligence helps predict performance of sugarcane in the field
Wednesday, 19 October 2022 by CBMEG-Suporte
AI can be used to create efficient models for genomic selection of sugarcane and forage grass varieties and predict their performance in the field.
- Published in CBMEG in the Media
Researchers identify genes potentially responsible for sugarcane’s resistance to pests, cold and drought
Wednesday, 28 September 2022 by CBMEG-Suporte
“We identified parts of the genome of S. spontaneum that have no similarities to genes in any other organism”, say the scientists responsible for the new insight.
- Published in CBMEG in the Media
Artificial intelligence accelerates search for markers of resistance to sugarcane yellow leaf disease
Wednesday, 03 November 2021 by CBMEG-Suporte
Scientists at CBMEG describe in a new paper how they used genomics, machine learning, and statistics to refine and accelerate research combating the disease.
- Published in CBMEG in the Media