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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/11811
Current scientific name
Triticum aestivum L. var. aestivum
IPK Accession numbers
TRI 11838 (W 3775)
Availability
unrestricted available
Series
NA
Biological Status
Traditional cultivar/landrace
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1977
Genebank subcollection
GTR
AEGIS
Yes
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--
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Geographic Data

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Coordinates
022°25'20'' E , 49°36'41'' N
Country of origin
POL (Poland)
Collecting site:
Kuzmina, north-eastern foothills of the Bieszcady between Ustrzyki D. and Przemysl
In our database there are 2943 accessions from this country.

Expedition

Expeditions

ReportExpedition

Expedition nameNameAreaStart of expeditionEnd of expedition
Poland Landraces collection 1976: 137 dPoland Landraces collection 1976NA1976-08-091976-08-27
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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 262 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 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).162,53996731886920220328
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).4,759655113904920220328
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).47,546092399240720220328
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).132,93869576802820220328
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