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Title: Standardized Phenotyping: A coordinated effort for Malus, Pyrus, Prunus and Fragaria

item Volk, Gayle
item PEACE, CAMERON - Washington State University
item GASIC, KSENIJA - Clemson University
item Bassil, Nahla
item MAIN, DORRIE - Washington State University

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 11/1/2010
Publication Date: 11/14/2010
Citation: Volk, G.M., Peace, C., Gasic, K., Bassil, N.V., Main, D. 2010. Standardized Phenotyping: A coordinated effort for Malus, Pyrus, Prunus and Fragaria. Meeting Abstract. 5th International Rosaceae Genomics Conference, November 14-17, 2010. South Africa. pp. O53.

Interpretive Summary: The availability of genomic sequence and maps for multiple genera in the Rosaceae family has led to a need for widely transferable phenotypic data. The Genome Database for Rosaceae (GDR) has initiated efforts to include phenotypic data within its data tables. As part of this project, we are assembling and classifying key trait performance and morphological descriptors for diverse Rosaceae crops. In addition to using phenotypic information available for multi-insitutional projects such as RosBREED, we have included information from additional U.S. and international breeding and genebank programs with the goal of designing data tables that are as useful as possible. Frameworks will be developed such that data can be compared across crops, to facilitate the development and application of marker-trait associations within, and perhaps between, genera of the Rosaceae family.

Technical Abstract: Inventory and descriptive data for international apple, pear, strawberry, peach and cherry collections are not available in a shared database. The Genome Database for Rosaceae (GDR) is developing tables that will present collection information in a format that is searchable and publicly accessible. Initially, data will be made available for the USDA-National Plant Germplasm System Rosaceae crops. Members of the international community will be invited to contribute their data to the GDR database. Formats will be generalized, yet standardized, so data users can view methods and use those methods within their research programs.