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DOI
10.25642/IPK/GBIS/14286
Current scientific name
Triticum aestivum L. var. ferrugineum (Alef.) Mansf. + var. aestivum
IPK Accession numbers
TRI 14304
(W 6120)
Availability
unrestricted available
Series
NA
Biological Status
Traditional cultivar/landrace
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1984
Genebank subcollection
GTR
AEGIS
No
MLS
Yes
Historic (data only)
No
1 - 1
Publications on this accession
Report on publications on this accession
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Publication Type
Title
Year
Source
Authors
Abbr.
Note
DOI
project documentation
Projekt Genebank 2.0
2015
-
-
1 - 1
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Geographic Data
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Coordinates
NA
Country of origin
UN* (unknown)
Collecting site:
NA
1 - 1
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25478
accessions from this country.
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Historic Numbers
Type is either the donor, pre-donor or the collecting trip / collecting trip number.
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Designation
Country
Donor Number
Assigned
Donor number type
World Collection Beltsville
United States of America
PI 298580
1984
donor number
1 - 1
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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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Trait
Description
Reference Value
Observation date
Descending
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).
89,9988071112488
20220328
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).
5,80001351609001
20220328
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).
44,2800231289855
20220328
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).
157,418530635242
20220328
Pflanzenlänge (Halm, Ähre und Grannen)
NA
108
19850622
Blühdatum [Tage]
Number of days since 1 January of the running year
158
19850608
Aussaatdatum [Tage]
days after 1st January
281
19841008
1 - 7
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