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Detailed Information

Passport Data

ReportPassport

DOI
10.25642/IPK/GBIS/7581
Current scientific name
Triticum aestivum L. var. aestivum
IPK Accession numbers
TRI 7609 (W 6)
Availability
unrestricted available
Series
NA
Biological Status
Advanced/improved cultivar
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1965
Genebank subcollection
GTR
AEGIS
No
MLS
Yes
Historic (data only)
No

Publications on the scientific name

ReportPublisher

TitleAuthorsLex. SourcePublication Type
Kul'turnaja flora SSSRDorofeev, V. F.; Korovina, O. N.Tom 1, 1979field guide
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In our database there are 3146 accessions with this name.

Publications on this accession

Report on publications on this accession

Publication TypeTitleYearSourceAuthorsAbbr.NoteDOI
project documentationProjekt Genebank 2.02015--
project documentationProjekt Zuchtwert2016--
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Accession names

ReportAcessionNames

TypeNameLanguageNumber of similar
common accession nameAskanijka 11Unknown1
  • 1 - 1

Geographic Data

ReportGeo

Coordinates
NA
Country of origin
SUN (*Union of Soviet Socialist Republics)
Collecting site:
NA
In our database there are 4166 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
N.I. Vavilov All-Russian Scientific Research Institute of Plant Genetic ResourcesRussian Federation357021965donor number
  • 1 - 1
In our database there are 2988 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 7 descriptors for this accession.

ReportCuE

TraitDescriptionReference ValueObservation dateDescending
Vorhergesagte Pflanzenhöhe (genomische Vorhersage)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).119,85357501508720220328
Vorhergesagte Gelbrostresistenz (genomische Vorhersage)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).5,5592946438101120220328
Vorhergesagtes Tausendkorngewicht (genomische Vorhersage)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).45,784981155593320220328
Vorhergesagte Blütezeit (genomische Vorhersage)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).160,48811677100220220328
Pflanzenlänge (Halm, Ähre und Grannen)NA14020110713
Blühdatum [Tage]Number of days since 1 January of the running year14720110528
Aussaatdatum [Tage]days after 1st January27720101005
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