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DOI
10.25642/IPK/GBIS/14024
Current scientific name
Triticum aestivum L. var. milturum (Alef.) Mansf. + lutescens
IPK Accession numbers
TRI 14041
(W 5965)
Availability
unrestricted available
Series
NA
Biological Status
Advanced/improved cultivar
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 Zuchtwert
2016
-
-
project documentation
Projekt Genebank 2.0
2015
-
-
1 - 2
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Accession names
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Type
Name
Language
Number of similar
common accession name
Red May
Unknown
1
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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In our database there are
31966
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
CI 12023
1984
donor number
1 - 1
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In our database there are
3750
accessions from this donor.
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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
8
descriptors for this accession.
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Trait
Description
Reference Value
Observation date
Descending
predicted plant height (genomic prediction)
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).
117,105405773078
2022-03-28
predicted yellow rust resistance (genomic prediction)
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).
6,09095329659375
2022-03-28
predicted thousand grain weight (genomic prediction)
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).
43,7017931566746
2022-03-28
predicted flowering time (genomic prediction)
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).
158,456545102469
2022-03-28
plant: length (stem, ear and awns)
NA
120
1985-06-16
flowering date [days]
Number of days since 1 January of the running year
152
1985-06-02
sowing date [days]
days after 1st January
281
1984-10-08
sowing date
NA
1984-10-08
1984-10-08
1 - 8
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