SelWineQ - Predictive Breeding for Wine Quality
The goal of »SelWineQ« is to build robust models for predicting the genetic quality potential (GQP) of grapevine varieties based on genomic data and metabolomics. Quality markers are being identified and used for screening grapevine breeding material. This will tremendously increase the efficiency of the breeding process by an early removal of poor quality genotypes via negative selection.
The detection and characterization of genetic quality markers for wine quality will be done using a “Modified Genotyping by Sequencing” (GBS) approach. Since the genome of Vitis vinifera contains at least 70 % of repetitive DNA, only a small fraction of the genome is usable for identifying wine quality markers. Hence, removing the repeat fraction from the genomes of different genotypes prior to sequencing will drastically reduce expenses on sequencing and data analysis.
Being able to predict the grapevine GQP from the genotype towards metabotype and sensotype will speed up the breeding process up to a decade, resulting in new grapevine cultivars for a sustainable viticulture.
Contact:
Prof. Dr. Stefan Wanke (e-mail)
Dr. Lena Frenzke (e-mail)
Dr. Julia Naumann (e-mail)
Collaborators:
Julius Kühn-Institut, Bundesforschungsinstitut für Kulturpflanzen
asgen GmbH & Co. KG
Rheinlandpfalz – Dienstleistungszentrum ländlicher Raum
meta-sys-x
Funding:
Bundesministerium für Bildung und Forschung
PLANT 2030