Washington [US], October 20
According to a Brazilian study published in Scientific Reports, artificial intelligence (AI) can be used to develop efficient models for the genomic selection of sugarcane and forage grass varieties and predict their field performance based on their DNA.
In terms of accuracy compared with traditional breeding techniques, the methodology developed with support from FAPESP improved predictive power by more than 50%. This is the first time a highly efficient genomic selection method based on machine learning has been proposed for polyploid plants (in which cells have more than two complete sets of chromosomes), including the grasses studied.
