Free Webinar

How to Improve Breeding Efficiency and Genetic Gain

March 2, 2023

10:00 AM  CST

Climate change, loss of genetic diversity, and selection intensity are just a few challenges breeders are facing. Applying xSeedScore® supports breeders by dramatically improving breeding efficiency and genetic gain

The growing global food demand together with climate change have huge effects on food production and put intense pressure on farmers, growers and agricultural companies. This implies that new plant varieties have to be produced much quicker, and under less predictable growing conditions. Each field must be optimized for yield, environmental pressures, and disease resistance. 
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xSeedScore® tackles these challenges and supplements the plant breeders' toolbox. Learn how applying the machine learning technology xSeedScore® will dramatically improve breeding efficiency and genetic gain for today’s and future climates. Applying and making best use of xSeedScore® helps plant breeders make more informed choice and helps the breeding company create their own signature genetics.

What You Will Learn In The Webinar

  • How to apply and make best use of xSeedScore® machine learning technology focusing on 3 core questions: 

    What do you have?
    What do you need?
    What do you want?

  • How xSeedScore® helps plant breeders to make an informed choice​​​​​​​​​​​​​​

  • How to apply xSeedScore® to see a real change in the fields​​​​​​​

  • How applying machine learning helps to create signature genetics for a seed company

Webinar Presenters

  • Dr. Sebastian J. Schultheiss Managing Director at Computomics

    Dr. Sebastian J. Schultheiss, Managing Director of Computomics, founded Computomics together with a very experienced board of scientific advisors from ETH Zurich, Max Planck Institute for Biology and the University of Tübingen. Sebastian studied Bioinformatics at University of Michigan and Tübingen. He worked on Machine Learning research and its application to biological data for his PhD degree at the Max Planck Institute for Biology and the FML. He brings startup experience, bioinformatics skills and machine learning expertise to Computomics. Computomics brings superior prediction accuracy and unprecedented integration of phenotyping, genotyping, management, and environmental data to agriculture, enabling its clients to produce stable, value-added crops.

  • Dr. Keith Rufener, Geneticist and Breeding Consultant at K2 Genetics

    Dr. Keith Rufener has a MS and PhD from Ohio State University in Plant Breeding and Quantitative Genetics with a post-doc in Molecular Genetics. His career as a commercial breeder coincides with the introduction and development of molecular markers and their application to plant breeding. His career is best described as an evolution of applying quantitative genetics and molecular marker technology to modern plant breeding for the development of commercial quality genetics and hybrids. During his long career, Dr. Keith Rufener II worked for several seed companies. His broad experience in plant genetics and corn breeding together with his passion and curiosity significantly advanced several corn breeding programs. Keith developed commercial hybrids always having the success of the farmer as his primary goal. Currently Keith is working as a Geneticist and Breeding Consultant at K2 Genetics.

  • About Computomics

    Computomics offers a proprietary machine learning technology platform that applies AI to genetics, phenotype, microbiome, and environmental datasets. Computomics is a team of world-leading experts in machine learning, plant research and bioinformatics, who use data to unlock the diversity of biological life. In over 180 projects, Computomics enabled customers to make data-driven decisions and thereby accelerate sustainable agricultural development that can feed the world. Computomics’ interpretable machine learning technology enables rapid understanding of genomic data for plant breeding, agricultural biotech, and microbiome researchers. Computomics is headquartered in Tübingen, Germany. To learn more about Computomics, please visit www.computomics.com or follow Computomics on Twitter at twitter.com/Computomics.

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