SEED WORLD INNOVATION WEBINAR SERIES

INNOVATION IN PLANT BREEDING:
Advanced machine learning for predictive plant breeding

About The Webinar

Climate change challenges breeders to deliver new varieties faster and with fewer resources. Machine Learning technologies can integrate environmental factors and model complex traits, speeding up the breeding cycles by delivering improved phenotype predictions.

Participants will learn:

  • Why it is important to build a robust data set in plant breeding

  • How a good training population looks like

  • What the advantages of machine learning technologies over classical statistical methods are

  • How you can unleash the superior accuracy of machine learning-based prediction methods in your breeding

  • Which questions machine learning solves in hybrid, line and clonal breeding programs

  • Ruth Mayes

    Ruth Mayes, Director Global Business Strategy, joined Computomics nearly three years ago and manages all aspects of the business and commercial strategy. Ruth studied applied science and pharmacology at the College of West Anglia in the U.K and has a BTEC in Science, BTEC is dispensing practice and an ABPI. Ruth has extensive experience in global sales and Business Development and has worked for some of the leading global biotechnology companies. Ruth has a scientific background with a broad knowledge of applied and research in genomics and life science industry and experience in organisational leadership, building and managing dynamic teams across multiple sectors.

  • Christian Dreischer

    Christian Dreischer is Scientific Project Manager at Computomics. He studied Bioinformatics at University of Tübingen, and graduated at the Max Planck Institute for Developmental Biology, Tübingen. After his graduation Christian was Bioinformatics Research Assistant at Aarhus University, Denmark. Christian has over 12 years experience in scientific software development and more than 6 years in project management. His broad experience in genomic data analysis using machine learning techniques together with his project management skills fuelled him to advance the technology on accurate phenotype prediction and accelerate plant breeding for a changing climate.

  • , ,