Decision making in a commercial breeding program - Breeding Informatics Network Community Learning Series

An expert presentation by Brian Gardunia of Bayer Crop Science on how Bayer increased data fluency and analytics to make better decisions. What did they learn and what changes were adopted over the last 10 years? Join Bayer, Cornell, EiB and partners for an examination of how over the years of testing, Bayer has aimed to get increasing confidence for performance in farmers’ fields and conditions. This includes increasing the number of locations and size of experimental plots.

Brian describes the data analytics used for decision making and how that helps ensure confidence that the right varieties and hybrids have been selected to sell. The presentation is followed by Q&A.

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Questions for the presenter can be submitted here:
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