08/12/22- Predictive Breeding: Machine learning technologies for future plant varieties
The ciopora Breeding academY 2022:
Predictive breeding: machine learning technologies for future plant varieties
The CIOPORA Breeding Academy is an education program designed specifically for plant breeders and R&D departments of the breeding companies. It provides advanced training in the latest breeding technologies, including New Breeding Techniques (NBT).
Date & Sessions
Average session duration: approx. 75 min
Session 1: Dec 8, 2022 - 9 am CET
Recommended for participants from Europe, Africa, Middle-East, Asia, Australia, New Zealand
8 am London
9 am CET/Europe (Speaker’s time zone)
4 pm Beijing, CN
7 pm Sydney, AUS
9 pm Wellington, NZ
Check the FULL LIST OF TIME ZONES
Session 2: Dec 8, 2022 - 6 pm CET
Recommended for participants from Europe, Africa and the Americas
9 am US Pacific
11 am US Central
12 pm US Eastern
12 pm Bogotá
6 pm CET/Europe (Speaker’s time zone)
Check the FULL LIST OF TIME ZONES
Registration
Option 1: WEBINAR TICKET
Our flexible single-webinar registration option:
EUR 99.00/198.00 (member/guest)
Option 2: WEBINAR SAVINGS PACKAGE
Save 15% and join all three webinars in the
Breeding Academy Webinar Series:
EUR 249.00/498.00 (member/guest).
By registering you are agreeing to our Terms & Conditions (November 2022).
What will i learn?
Dr. Sebastian J. Schultheiss
Dr. Sebastian J. Schultheiss
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 Friedrich Miescher Laboratory. 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.
Webinar Syllabus:
Machine Learning or AI can include dominance, epistasis, and there is no restrictions on the dimensionality of the interactions. It has been successfully applied across many industries and we show how it’s possible to benefit from it in plant breeding with a breeder-centered approach to combine or complement the advantages of machine learning.
Genomic Prediction with its linear mixed models has proven to be a very successful tool for breeding of a variety of crops. The assumptions made by these methods, for instance that the effects of markers or environmental covariates is equal, are a shortcut and not biologically true.
Key topics include the identification of the most useful environmental datasets, the determination of optimal or prediction of future environments, the necessary datasets to get started, and current success cases and studies using machine learning methods.
Webinar user manual
For your convenience, we have compiled a Webinar User Manual to help you prepare for the webinar participation. Additional information can be found in the Livestorm Help Center.
Download The Webinar manual
Please download and read this document carefully prior to participation in the webinar.
Our webinar platform Livestorm does not require any prior installation. Instead, it enables you to join the webinar via browser. Use one of the following for the best webinar experience:
About the WEbinar program
In November 2019, the CIOPORA Academy education program on IP for plants was expanded with the distance learning offerings in form of Webinars. Each webinar is conducted in two sessions to cover all time zones, enabling participation from all locations worldwide.
All CIOPORA Academy Webinars are broadcasted live in Livestorm, an online webinar platform, which allows participation for registered persons via internet browser with no prior installation. Please see our User Manual for more information on the technical requirements.
