Overview
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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Dr. Rex Bernardo is Distinguished University Teaching Professor and Endowed Chair in Corn Breeding and Genetics At University of Minnesota. He obtained his undergraduate degree in the Philippines in 1984 and his Ph.D. degree in plant breeding from the University of Illinois in the USA in 1988. Dr. Bernardo developed the widely used GBLUP procedure in 1994, and most of his work has focused on marker-assisted breeding. Dr. Bernardo is Director of the Plant Breeding Center at Minnesota, has written two textbooks, and teaches graduate courses in plant breeding and in professional skills for scientists. |
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