Decision making in a commercial breeding program - BrIN Learning Series

An expert presentation and discussion 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 Gardunia of Bayer Crop Science describes 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.

Presenter: Brian Gardunia, Bayer Crop Science

Hosts: Breeding Informatics Network (BrIN) Lead/Project Manager, Young Wha Lee, EiB / Star Gao, Cornell University

Download the presentation PDF: Click here


Special thanks: to EiB project funders including the Bill & Melinda Gates Foundation (BMGF), the Foreign, Commonwealth & Development Office (FCDO), the United States Agency for International Development (USAID), the German Agency for International Cooperation (GIZ), the Federal Ministry for Economic Cooperation and Development (BMZ Germany), the Australian Centre for International Agricultural Research (ACIAR), the Foundation for Food and Agricultural Research (FFAR), and our presenters and partners.