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We have integrated advanced metabolic flux modeling capabilities with transcriptome network analysis to form the foundation of our Gene Ranking Artificial Intelligence Network (GRAIN), a big data mining gene discovery platform that stands at the core of our Trait Factory.
GRAIN efficiently mines big data sets and prioritizes actionable gene targets to improve crop productivity. Our GRAIN platform provides us with a unique approach for discovering novel yield trait genes and producing higher-value sustainable products in Camelina.
Leverage Camelina’s potential to replicate the development of modern canola from rapeseed on an accelerated timeline.
Develop improved Camelina varieties for the production of proprietary products and other high-value seed traits for the agriculture and food industries.
Optimize photosynthesis and carbon efficiency in crops to increase grain or biomass yield using our novel traits, thus addressing the current yield gap for major crops;
Identify and evaluate novel yield trait genes to improve the field performance of Camelina for our products business and to improve the yield and performance of major food and feed crops;
Target approximately 10-20% increase in canola and soybean yields to boost the output of major food and feed crops, and potentially reduce strains on scarce natural resources, thus addressing global food security.
GRAIN will be a powerful tool for further optimizing the seed yield and seed oil content traits we currently have in development while also identifying new gene targets or combinations of plant gene modifications, also known as smart targets.
Plant scientists now have powerful genome-editing tools, such as the CRISPR/Cas9 system which enables gene changes in major crops. The challenge is knowing what combinations of genes to edit.
