“Our ambition is to efficiently integrate large DNA fragments into specific genomic locations. By making trait expression and trait introgression paths more predictable, targeted insertion will accelerate R&D, delivering more innovative solutions to farmers, faster.”
Brenden Barco, Senior Scientist, Crop Trait and Technology Discovery, Syngenta
Genome editing can enable the development of crops that are more sustainable, higher yielding while using less inputs, and agronomically beneficial to farmers. Explore the Syngenta proprietary technology that we are sharing via research purpose licenses to accelerate innovation through collaboration in agriculture.
Breeding technologies play a critical role in enhancing agricultural productivity and sustainability. In staying true to our values of openness, transparency, and collaboration, we are excited to announce that we are providing access to specific Syngenta proprietary licenses for research purposes. We see this as an accelerator to innovation in agriculture.
“We are looking to collaborate with R&D partners beyond agriculture to access microalgae strains and explore their potential to help farmers protect their crops from cold stress during germination and seedling establishment.”
Zaida Andres Gonzalez, Global Head of Chemistry and Formulation Science, Syngenta Biologicals
"We are looking to collaborate with R&D partners beyond agriculture to access seaweed samples and extracts, because believe their unique properties could help farmers improve plant and soil health."
Alessandro Biasone, Global Head of Chemistry and Formulation Science, Syngenta Biologicals
“With this approach, we can bring better compounds to market faster, which will directly benefit growers. Society also benefits from our ability to reduce waste and find the most sustainable compounds.”
Monika Trehan, Digital Collaboration Lead, Syngenta
“Everyone now knows about language models but, back in 2019, this was very far-sighted of Syngenta”
Teodoro Laino, Distinguished Research Scientist and Manager, IBM Research