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Automated Evaluation and Comparison of Grapevine Genotypes by means of Grape Cluster Architecture

Project

Production processes

This project contributes to the research aim 'Production processes'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Production processes


Project code: JKI-ZR-08-5202
Contract period: 01.04.2016 - 31.12.2019
Purpose of research: Applied research

Viticulture is endangered from several fungal diseases and pests. One for which no resistance loci have been reported so far is gray mold (Botrytis cinerea) causing bunch rot. It grows on more than 200 species causing severe losses in warm and humid seasons. Botrytis is very adaptive and is considered as a high risk fungus due to very rapid formation of resistances against fungicides. In viticulture it is well known that physical barriers such as loose cluster architecture, tight berry skin and hydrophobic berry surface are important factors to prevent bunch rot (Botrytis infection). To strengthen grapevine breeding efficiency the proposed project intends to identify and narrow down genetic loci for cluster architecture traits (e.g. length of rachis, length of pedicel, berry size). As an exact data acquisition in high throughput is not manageable, University of Bonn and JKI Siebeldingen cooperate for modeling of grapevine clusters from 3D point clouds and using of the modeling data for QTL analyses. A pilot study at JKI on 150 F1-plants (pop 150) resulted in a first QTL (on chromosome 1) for pedicel length. Due to the high labor intensity of measuring more than 30 cluster parameter alternative techniques are demanding for evaluation and are a prerequisite for the identification of further QTL and for fine mapping using a larger population (pop1000). Based on previous work done at University of Bonn on the modeling of the grapevine cluster it can be expected that a solution shall be developed based on 3D-scanning and modeling approaches.

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