Discovery and prediction of complex agricultural traits through AI-backed multi-omics
Utilising primarily RNA -Seq data and other omics in their AI engine, a UK startup identifies highly predictive biomarkers and generates prediction models for complex agricultural traits such as nitrogen-use efficiency, pesticide efficacy, and drought tolerance. Further applications will follow in animal husbandry etc. Commercial agreements with technical assistance are being sought with breeding, chemical, gene editing companies with pre-existing R&D capabilities.