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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/10742
Current scientific name
Triticum aestivum L. var. aestivum
IPK Accession numbers
TRI 10770 (W 2494 C, W 3375)
Availability
unrestricted available
Series
NA
Biological Status
Wild
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1974
Genebank subcollection
GTR
AEGIS
Yes
MLS
Yes
Historic (data only)
No

Publications on the scientific name

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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--
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Geographic Data

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Coordinates
022°17' E , 37°49' N
Country of origin
GRC (Greece)
Collecting site:
NA
In our database there are 2788 accessions from this country.

Historic Numbers

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

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DesignationCountryDonor NumberAssignedDonor number type
FAO Seed Exchange ServiceItaly299611973donor number
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In our database there are 496 accessions from this donor.

Expedition

Expeditions

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Collecting Institutions

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InstitutionUrl
IPK - Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung, Abteilung GenbankNA
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In our database there are 164 accessions from this expedition.

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.

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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).120,10194192344620220328
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).6,4910326146011820220328
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).54,746794935047420220328
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).159,96924323043720220328
Pflanzenlänge (Halm, Ähre und Grannen)NA11520020624
Blühdatum [Tage]Number of days since 1 January of the running year15320020603
Aussaatdatum [Tage]days after 1st January27820011006
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