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Detailed Information

Passport Data

ReportPassport

DOI
10.25642/IPK/GBIS/236137
Current scientific name
Triticum aestivum L.
IPK Accession numbers
TRI 25874
Availability
unrestricted available
Series
NA
Biological Status
Unknown
Life form
intermediate or changing
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
2003-10-21
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 9451 accessions with this name.

Publications on this accession

Report on publications on this accession

Publication TypeTitleYearSourceAuthorsAbbr.NoteDOI
project documentationProjekt Genebank 2.02015--
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Geographic Data

ReportGeo

Coordinates
NA
Country of origin
IRN (Iran, Islamic Republic of)
Collecting site:
BIAN NO, 30KM VON BIJAR NACH ZANJAN
In our database there are 3336 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 CentreGermany42841973-06donor number
Seed and Plant Improvement InstituteIran, Islamic Republic of198-50NApre-donor
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In our database there are 45396 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
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).158,28823945656620220328
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).6,8057724439750420220328
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).49,551089628984120220328
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).105,19764369089620220328
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