AGRICULTURE #Theme 2

Working sessions 1.Crop Trait ontology 2.Biocuration in agrodatabases 3.SPM III: Visual and textual standards for taxonomic identification 4.Species-related databases, information systems and inventories of cultivated and useful plants 5.DarwinCore Germplasm Extension and GBIF IPT deployment 6.Standards for Plant traits (cultivated and wild) - expanding standards to include characterization and evaluation data, phenotypic descriptors 7.Ecosystem approach to genetic resources management 8.Herbarium digitization 9.Traditional knowledge

Crop Trait ontology - propositions  Find mechanisms for the community can participate to the Crop Ontology activities  Use existing ontologies – cross products  Further use Terminizer (University of Manchester)  A brainstorming workshop with multidisciplinary group to define, agree and validate all concepts around the Plant Trait Ontology  Joint effort with TDWG Ontology

Data quality (Biocuration) A TDWG Interest group on Data quality management  Awareness to Decisions makers and donors  Define Incentives for providing data quality  Define DQI (data quality indicators), ‘validators’, metadata, scoring  Differentiate the ‘interpreted’ and the ‘ original’ data from data source. Define what is ‘original’ data?  Develop generic tools that are simple to use – ‘electronic curators’  Data quality control generating quality reports – structured, standardized  What quality control for evaluation/ phenotypic data ?

Plant Traits Core controlled vocabulary and a Trait ontology Provenance of the material:  Obtained from the wild or propagated  Get the data directly from the wild accession – data integration Necessary metadata Conservation trait - Is a taxon properly conserved from each ‘bioregion’ : total number of samples stored in ex situ  Darwin Core extension IUCN indicators to focus on priority taxon Definition of Trait concept needed

Plant Traits  Informing genebanks’ community about Darwin Core Extension and GBIF tools  Test IPT in genebanks  Look at light version of SDD  Existing databases: LEDA Trait base

Traditional knowledge  real « action »--where biodiversity is being created, or is being destroyed—is in situ.  documenting information about the dynamics of biodiversity, in situ - Processes generating diversity  Indicators of change/erosion  Integration of in situ data is important for both wild and domesticated biodiversity.

 Compiling and sharing data on local knowledge and integrating it into other biodiversity databases  Aid in management and conservation - “hotspots” of local knowledge about [agro]biodiversity, or of local creation  Revival of TDWG interest group on 'economic botany’ Traditional knowledge

Clear that collaboration between TDWG and genebank community is beneficial for both Sharing infrastructure Exchange tools, models, data