Global portal includes phenotypic data with traditional passport data Working Session TDWG 2009 12 Nov Michael Mackay.

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Presentation transcript:

Global portal includes phenotypic data with traditional passport data Working Session TDWG Nov Michael Mackay

Content Methods for assessing accessions against traits Need for flexibility managing methods Core metadata to support methods? Environmentally sensitive traits require information about the experiment/location How to support multiple location data? Core metadata to support environmentally sensitive data?

Methods - 1 One trait can be assessed using different methods For example, ‘drought tolerance’ can be assessed by: –Avoidance / phenology –Deep roots / morphology –Na exclusion / chemical –Etc.

Passport Methods – 2

Methods - 3

Methods - 2 Trait Category Trait Trait Method Trait Method 1 Trait Method 2 Trait Method 3 Location Metadata  1 1

Multi Method example Two methods to “measure” RWA But what about: Biotypes Races etc?

Method metadata Current portal handles scores, units and ranges; Need to add functionality for biological variety: biotypes of insects, races of pathogens etc. Citation for a method?

Other method metadata? ?

Location/experiment metadata - 1 Current status in global portal Comment on categories of traits?

Location/experiment metadata - 2 Experiment identification/name/title. Purpose of experiment. Location description/geo-reference/altitude. Start and end dates. Field/lab/greenhouse options? Description of treatments, plot size etc? Citation – if available? Institution and individual responsible? Contact details?

Location/experiment metadata - 3  The intention is to include summary data only, but what additional info is needed:  Maximum, minimum, standard deviation???  ??

Some functionality considerations Start with crop, then ‘drill’ the query down.

‘Drilling down’ Step 1: Start with Barley accessions with geo-references Step 2: Add NSGC and Origin of France to the query. Replace current query Add to current query

Some functionality considerations Start with crop, then ‘drill’ the query down.

Additional location metadata - 4

Discussion points - 1

Discussion points - 2

Discussion points - 3

Discussion points - 4