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Predictive Breeding for Wine Quality (phase 2) (SelWineQ2)
Project
Project code: JKI-ZR-08-5229
Contract period: 01.02.2020
- 31.01.2023
Purpose of research: Applied research
The evaluation of new grapevine cultivars regarding their quality potential is the time limiting factor during
grapevine breeding. Small-scale vinification for the quality assessment of individual vines is possible at the
earliest after 3 to 4 years when the plant carries enough grapes. The wine rating is based on the sensory
perception of qualified judgers and requires repetitions over 15 to 20 years due to the impact of differing
annual weather conditions on the wine’s flavor. »SelWineQ« aims at developing robust prediction models
for the complex trait “wine quality” in order to significantly improve the breeding process. To achieve this
goal, we investigate different aspects: (1) the genetic quality potential (GQP; irrespective of the
environment), (2) the metabolic quality potential (MQP; genotype environment interaction) of the primary
product (grape must), and (3) the quality of the final wine (analytical and sensory properties).
The prediction of the genetic quality potential is examined on a training set of a segregating white wine F1
population with standardized micro-vinification. A composite quality score was developed from sensory
evaluation consisting of overall expression and rating different odor and taste attributes. Aroma compounds
were identified correlating with the composite quality score. These form together with the approx. 8000
features per sample from a non-targeted metabolomics approach a solid base for a first modelling of the
MQP with further need of consolidation by incorporating additional vintages. A highly efficient genotyping by
sequencing (GBS) strategy was developed and is currently in the process to be patented. The existing
genetic simple sequence repeat based map was recalculated and will be further improved by GBS data to a
previously unreached marker density for QTL identification for acidity and sugar content. As first modeled
quality traits in the context of GQP and MQP, the results will be validated in a larger context.
Section overview
Subjects
- Plant Breeding
- Viticulture
