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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/10828
Current scientific name
Triticum aestivum L. var. subferrugineum (Vavilov) Mansf.
IPK Accession numbers
TRI 10856 (W 2528)
Availability
unrestricted available
Series
NA
Biological Status
Traditional cultivar/landrace
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
Seed collection
Acquisition date
1973
Genebank subcollection
GTR
AEGIS
Yes
MLS
Yes
Historic (data only)
No

Publications on the scientific name

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TitleAuthorsLex. SourcePublication Type
Landwirthschaftliche Flora oder die nutzbaren kultivirten Garten- und Feldgewächse Mitteleuropa's in allen ihren wilden und Kulturvarietäten . . . Berlin : Wiegandt & Hempel in Comm.Alefeld, Friedrich Georg Christoph1-7 May 1866primary publication
Trudy po Prikladnoi Botanike i Selecktsii. Bulletin of Applied Botany and SelectionNAVol. 13, 1923primary publication
Der Züchter. Zeitschrift für theoretische und angewandte Genetik. BerlinNAVol. 21, 1951field guide
Der Züchter. Zeitschrift für theoretische und angewandte Genetik. BerlinNAVol. 21, 1951field guide
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In our database there are 1637 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
087°12'36'' E , 27°35'12'' N
Country of origin
NPL (Nepal)
Collecting site:
Mangatang
In our database there are 1074 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
University College BangorUnited KingdomNA1971donor number
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In our database there are 543 accessions from this donor.

Expedition

Expeditions

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Expedition nameNameAreaStart of expeditionEnd of expedition
University College Bangor-Nepal Expedition 1971: 36University College Bangor-Nepal Expedition 1971NA19711971
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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 259 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.

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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).156,17839785370720220328
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).6,7696620574251120220328
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).30,945026777269920220328
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).104,36761619593320220328
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