Breeding Data: Statistical Advances in Modern Plant Breeding

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.

Organisator Biometris

di 16 oktober 2018 09:00 tot 17:30

Locatie Orion, building number 103
Bronland 1
6708 WH Wageningen
+31 (0) 317 48 87 77
Zaal/kamer C1005
Prijsomschrijving Free

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
  • Imputation
  • Multiparental populations
  • Polyploids
  • Crop growth models
  • Phenotyping platforms
  • Biological networks

The selected abstracts will be presented as posters and flash presentations.

Submit your abstract via email to

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.

Wij gaan zorgvuldig met uw gegevens om en gebruiken deze alleen voor bovenvermeld doel. Op deze verwerking is onze privacyverklaring van toepassing.