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Predictive breeding for wine quality (phase 2) (SelWineQ)
Project
Project code: JKI-ZR-08-5229
Contract period: 01.02.2020
- 31.01.2023
Purpose of research: Experimental development
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 differingannual weather conditions on the wine’s flavor. »SelWineQ« aims at developing robust prediction modelsfor 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 theMQP with further need of consolidation by incorporating additional vintages. A highly efficient genotyping bysequencing (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 apreviously unreached marker density for QTL identification for acidity and sugar content. As first modeledquality traits in the context of GQP and MQP, the results will be validated in a larger context.
Section overview
Subjects
- Plant Breeding
- Viticulture
