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The European project hidras: innovative multidisciplinary approaches to breed high-quality disease resistant apples.

Gianfranceschi L., Soglio V.

5th International Postharvest Symposium . Volume of Abstract . Verona, Italy 6-11 June 2004, p.65

2004

บทคัดย่อ

The European project hidras: innovative multidisciplinary approaches to breed high-quality disease resistant apples. The European project HiDRAS (High-quality Disease Resistant Apples for a Sustainable Agriculture) is a collaborative effort between 11 European groups from 8 different Countries aimed all the identification of the genetic factors controlling apple fruit quality.In the frame of the project, an innovative strategy based o­n the phenotypic and molecular characterisation of a large number of related genotypes will be adopted.

New software programs will be developed to fully exploit genotypic, phenotypic and, most interestingly, pedigree data, with the aim of identifying fruit quality QTLs and to follow the transmission of their alleles along the pedigree tree.A large number of highly informative markers, including markers from fruit-quality-related genes, will be generated and an apple genetic map with evenly distributed markers will be constructed to guarantee complete genome coverage and a efficient QTL analysis.Part of the project is devote to investigate Consumer’s needs to identify the quality parameters that determine the success of a new apple variety in different European countries.In those occasions our scientific research will be presented increasing the trust of European citizens towards disease resistant apples, therefore favouring their diffusion.Last but not least an apple data repository is going to be established to collect and share data among HiDRAS participants.Initially the database access will be limited but later it will be opened to the scientific community and it will constitute a reference point for all apple breeders and molecular biologist.The original and well concerted multidisciplinary approach, including apple breeding, genetics, molecular biology, statistics and bioinformatics, will ensure the achievement of the project objectives.