Modern breeding for fruit plants require bioinformatics support to store and rationalize the abundance of available phenotypic and genotypic data. Critical requirements are standardization and database interoperability, necessary to avoid the creation of “data islands” that won’t serve beyond the specific scope of the project (or task) that generated it. It is moreover necessary to intensify the connection between scientific genetics research and application to breeding. The FruitBreedomics project aims specifically to connect academia and breeders, with focus on apple and peach, two of the most important fruit crops in Europe and in the world. We here present a bioinformatics facility that has been designed for long term storage and fruition of all the data produced and collected during the project. The design choices focused on (re)use of available database schema and data harmonization. The database currently stores almost a million single phenotypic entries covering 111 traits linked to fruit quality and fruit yield. Three types of genetic data (SSR, SNP array datasets, and haplotype blocks) are stored, together with information about more than 13 thousands trees. The infrastructure contains also ad hoc “push button” integrated analytical tools to help both the breeder and the scientist

Nazzicari, N.; Caprera, A.; Rossini, L.; Tartarini, S.; Dondini, L.; Patocchi, A.; Bianco, L.; Laurens, F.; Stella, A. (2017). FruitBreedomics phenotypes and genotypes database and tools. ACTA HORTICULTURAE, 1172: 429-434. doi: 10.17660/actahortic.2017.1172.81 handle: https://hdl.handle.net/10449/91756

FruitBreedomics phenotypes and genotypes database and tools

Bianco, L.;
2017-01-01

Abstract

Modern breeding for fruit plants require bioinformatics support to store and rationalize the abundance of available phenotypic and genotypic data. Critical requirements are standardization and database interoperability, necessary to avoid the creation of “data islands” that won’t serve beyond the specific scope of the project (or task) that generated it. It is moreover necessary to intensify the connection between scientific genetics research and application to breeding. The FruitBreedomics project aims specifically to connect academia and breeders, with focus on apple and peach, two of the most important fruit crops in Europe and in the world. We here present a bioinformatics facility that has been designed for long term storage and fruition of all the data produced and collected during the project. The design choices focused on (re)use of available database schema and data harmonization. The database currently stores almost a million single phenotypic entries covering 111 traits linked to fruit quality and fruit yield. Three types of genetic data (SSR, SNP array datasets, and haplotype blocks) are stored, together with information about more than 13 thousands trees. The infrastructure contains also ad hoc “push button” integrated analytical tools to help both the breeder and the scientist
Bioinformatics
Apple
Peach
Breeders
Settore AGRI-06/A - Genetica agraria
2017
Nazzicari, N.; Caprera, A.; Rossini, L.; Tartarini, S.; Dondini, L.; Patocchi, A.; Bianco, L.; Laurens, F.; Stella, A. (2017). FruitBreedomics phenotypes and genotypes database and tools. ACTA HORTICULTURAE, 1172: 429-434. doi: 10.17660/actahortic.2017.1172.81 handle: https://hdl.handle.net/10449/91756
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/91756
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