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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/7846
Current scientific name
Triticum aestivum L. var. aestivum
IPK Accession numbers
TRI 7874 (W 474)
Availability
unrestricted available
Series
NA
Biological Status
Traditional cultivar/landrace
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1966
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--
project documentationProjekt Zuchtwert2016--
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Geographic Data

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Coordinates
NA
Country of origin
BGR (Bulgaria)
Collecting site:
Doganovo
In our database there are 1985 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
Landwirtschaftliches Forschungsinstitut TolbuhinBulgariaNA1966donor number
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In our database there are 86 accessions from this donor.

Expedition

Expeditions

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Collecting Institutions

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No data available.
In our database there are 76 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).161,67801864055620220328
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).5,2385807758622620220328
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).50,687428156848420220328
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).131,44868628492320220328
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