Using AI to decode the mechanisms that enable plants to adapt to climate change

An international research team led by the UPC has used advanced machine learning techniques to identify, for the first time, the key genes that enable plants to respond simultaneously to multiple forms of environmental stress. The study, published in Nature Communications, presents a new approach to analysing multifactorial stress at the genomic scale and paves the way for designing crops that are more resilient to climate change.