OM DENNE EPISODE
In this episode of the Computomics podcast, Dr. Rex Bernardo discusses the evolution of predictive plant breeding, from early molecular markers to today’s machine learning and AI approaches. He explains how these tools can support not only trait prediction, but also more complex breeding decisions, such as whether a line is likely to be selected or become a successful variety. The conversation also highlights community-focused work on leafy African vegetables in Minnesota and reflects on how plant breeding education must evolve to prepare future breeders for a more interdisciplinary, data-driven field.
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In this episode of the Computomics podcast, bioinformatics analyst Michelle Hagen describes how her work bridges biology and data science. As a data analyst in bioinformatics and plant breeding, Michelle transforms raw genetic and environmental data into insights that guide breeding decisions. She …
This episode features Dr. Michael Kotutwa Johnson, a Hopi dryland farmer from Arizona’s Colorado Plateau. He shares how his community has grown crops for 3,000 years on just 6-10 inches of annual rain without irrigation. Using deep planting, wide spacing, clumped seeds, and reading native vegetatio…
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