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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/236616
Current scientific name
Triticum sp.
IPK Accession numbers
TRI 21468
Availability
unrestricted available
Series
NA
Biological Status
Advanced/improved cultivar
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
2003-09-03
Genebank subcollection
GTR
AEGIS
No
MLS
Yes
Historic (data only)
No

Accession names

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TypeNameLanguageNumber of similar
common accession nameCLOVERS REDUnknown1
  • 1 - 1

Geographic Data

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Coordinates
NA
Country of origin
UN* (unknown)
Collecting site:
NA
In our database there are 25384 accessions from this country.

Historic Numbers

Type is either the donor, pre-donor or the collecting trip / collecting trip number.

ReportDonor

DesignationCountryDonor NumberAssignedDonor number type
BAZ, Braunschweig Genetic Resources CentreGermany6851971donor number
Biologische Bundesanstalt, Institut für Biochemie und PflanzenvirologieGermany5024NApre-donor
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In our database there are 46469 accessions from this donor.

Characterisation and Evaluation Data

The following report shows all traits with their reference value which have been observed for this accession. Reference values are the oldest valid observed values.
In our database there are data on 4 descriptors for this accession.

ReportCuE

TraitDescriptionReference ValueObservation dateDescending
predicted flowering time (genomic prediction)Predicted flowering time given in days after January 1st. The genomic prediciton was performed with a GSA-RRBLUP model involvig admixture as described in Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model (Berkner et al., DOI:10.1007/s00122-022-04227-4).166,58460205435720220328
predicted thousand grain weight (genomic prediction)Predicted thousand grain weight given in g. The genomic predicition was performed with an EG-BLUP model as described in Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model (Berkner et al., DOI:10.1007/s00122-022-04227-4).42,246214047311720220328
predicted yellow rust resistance (genomic prediction)Predicted yellow rust resistance given as a score ranging from 1 to 9. The genomic predicition was performed with an EG-BLUP model as described in Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model (Berkner et al., DOI:10.1007/s00122-022-04227-4).3,5030761159102520220328
predicted plant height (genomic prediction)Predicted plant height given given in cm. The genomic predicition was performed with an EG-BLUP model as described in Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model (Berkner et al., DOI:10.1007/s00122-022-04227-4).140,02853832910620220328
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Version 26.4