With nearly half of their annual R&D investment focused on plant breeding, Monsanto has entered into a non-exclusive, multi-year global licensing agreement with NRGene on their genome-analysis technology, GenoMAGIC.
GenoMAGIC was developed by a unique mix of highly experienced algorithm designers, software engineers, plant breeders, and plant geneticists and is used by seed companies and major academic and research institutions around the world.
“Monsanto employs best-in-class data analytics technologies to help unlock the genetic potential of our research and development pipeline for our farmer customers,” said Tom Osborn, Monsanto’s Molecular Breeding Technology Director in a recent release. “Our focus on data is allowing us make better decisions than ever before – and with GenoMAGIC, we expect to provide our plant breeders with a more comprehensive view to improve their analyses and decisions.”
“Monsanto is a global leader in technology that provides farmers with high-yielding seed hybrids and varieties, and we are proud that they have selected GenoMAGIC as a tool to support their advanced breeding programs,” says Dr. Gil Ronen, NRGene Chief Executive Officer. “Partnering with companies like Monsanto – combined with our recent achievements, including being the first to map the wheat genome – are significant milestones on our roadmap to become the worldwide leader of genomic big data solutions.”
Monsanto may expand its relationship with NRGene into a longer-term commitment following an in-depth evaluation of the technology. The GenoMAGIC platform extends Monsanto’s capabilities for genome selection, trait discovery, and genome enhancement.
Both companies noted their dedication to developing technologies that support farmers as they work to grow better harvests, protect their crops, and deliver more to society in the face of mounting environmental challenges. Monsanto’s R&D pipeline is focused on providing solutions to those challenges through plant breeding, plant biotechnology, crop protection, ag biologicals, and data science.
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