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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/11965
Current scientific name
Triticum aestivum L. var. aestivum
IPK Accession numbers
TRI 11990 (W 3942)
Availability
unrestricted available
Series
NA
Biological Status
Traditional cultivar/landrace
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1978
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 Zuchtwert2016--
project documentationProjekt Genebank 2.02015--
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Geographic Data

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Coordinates
017°51'47'' E , 48°57'59'' N
Country of origin
SVK (Slovakia)
Collecting site:
Stary Hrozenkov, White Carpathians
In our database there are 2394 accessions from this country.

Expedition

Expeditions

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Expedition nameNameAreaStart of expeditionEnd of expedition
Landraces Collection Czechoslovakian Socialist Republic 1977: 6 bLandraces Collection Czechoslovakian Socialist Republic 1977NA19771977
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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 628 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).161,70582303974920220328
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).4,4755352135301220220328
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).46,543989997250520220328
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).119,35392190213620220328
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