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Detailed Information

Passport Data

ReportPassport

DOI
10.25642/IPK/GBIS/87664
Current scientific name
Triticum aestivum L.
IPK Accession numbers
TRI 16591 (W 7305)
Availability
unrestricted available
Series
NA
Biological Status
Advanced/improved cultivar
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1990
Genebank subcollection
GTR
AEGIS
No
MLS
Yes
Historic (data only)
No

Publications on the scientific name

ReportPublisher

TitleAuthorsLex. SourcePublication Type
Species PlantarumLinnaeus, Carl1753primary publication
Exkursionsflora von DeutschlandJäger E. J., Werner K.Band 4, 2002field guide
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In our database there are 705 accessions with this name.

Publications on this accession

Report on publications on this accession

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

ReportAcessionNames

TypeNameLanguageNumber of similar
cultivar nameFortunaUnknown1
  • 1 - 1

Geographic Data

ReportGeo

Coordinates
NA
Country of origin
UN* (unknown)
Collecting site:
NA
In our database there are 25478 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
World Collection BeltsvilleUnited States of AmericaNA1990donor number
  • 1 - 1
In our database there are 3527 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).107,33602023294620220328
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).7,0695587926393920220328
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).46,14958522379620220328
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).159,863442311920220328
Pflanzenlänge (Halm, Ähre und Grannen)NA10519900612
Blühdatum [Tage]Number of days since 1 January of the running year14819900529
Aussaatdatum [Tage]days after 1st January28319891011
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