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Features Agronomy Genetics/Traits
Canadian government provides grant for collab between Benson Hill Biosystems and University of Guelph

Benson Hill Biosystems, an agricultural technology company unlocking the genetic potential of plants through cloud biology, has announced a partnership with the University of Guelph to develop traits that increase canola yield as part of the Genome Canada Genomic Applications Partnership Program (GAPP). The GAPP, along with provincial co-funding from the Ontario Ministry of Research, Innovation and Science, will provide $2 million towards the $3.4 million project.

The GAPP funds research and development projects that address industry opportunities in order to accelerate the application of genomics-derived solutions and sustainable innovations that are beneficial to Canadians. Canola is a major driver of the Canadian economy representing $7.4 billion in farm cash receipts and over $9 billion in exports, primarily to China, Japan, Mexico and the United States. Canola also serves a critical role in our global food system. Seeds are crushed into a cooking oil that is one of the lowest in saturated fats, making it a popular choice for food services seeking to lower trans fats in their products. The remaining canola meal provides a high protein livestock feed.

Benson Hill, using its proprietary CropOS cognitive computational platform, has identified a portfolio of trait candidates demonstrated to improve photosynthesis, one of the most complex systems in plants that is responsible for all agriculture production. In collaboration with the University of Guelph, researchers will validate these and other trait candidates in canola for further testing and development.

Benson Hill's platform combines vast datasets and biological knowledge with big data analytics and scalable cloud-based computing – an intersection of disciplines known as cloud biology – to predict biological outcomes for any target crop using any genomics tool, from breeding to gene editing to transgenics. The ability to more accurately predict gene targets that are linked to certain phenotypic outcomes with CropOS enables Benson Hill to accelerate identification of promising trait candidates, reducing product development costs and increasing speed to market.