In the process of breeding, big data are generated such as phenotype, sequence, pedigree data etc. Statistics can offer ways to exploit those data in order to accelerate the breeding process as well as to understand the underlying biological mechanisms.
In the intersection of Statistics with Genetics and Agriculture, lie many scientific endeavours. How to model genetic versus non-genetic variation in large field trials? How to detect QTL for complex traits? How to use genome-wide molecular markers to predict the phenotype of unphenotyped individuals? How to model complex inheritance patterns in polyploids? How to reconstruct and interpret biological networks?
This one-day symposium will be an opportunity to discuss those questions having the input of top-researchers.
Provisional Speakers | Topics
Prof. Dr. Hans-Peter Piepho, University of Hohenheim, Germany | Experimental design
Prof. Dr. Ian Mackay, IMplant Consultancy / NIAB, UK | Multiparental populations
Prof. Dr. Patricio Munoz, University of Florida, USA | Polyploids
Dr. Marco Grzegorczyk, University of Groningen, NL | Graphical models / Systems Biology
Dr. Andres Legarra, INRA, France | Insight from Animal Breeding
Call for abstracts:
You are invited to submit an abstract (200 words) of your research that falls within one of the following topics:
- Experimental design
- QTL detection
- Genetic diversity
- Genomic prediction
- Multiparental populations
- Crop growth models
- Phenotyping platforms
- Biological networks
The selected abstracts will be presented as posters and flash presentations.
Submit your abstract via email to email@example.com
Deadline for abstract submission: 15th September 2018
Deadline for registration: 7th October 2018
Registration includes lunch.
To help us better organise the event, we kindly ask you to register only if you are planning to attend.