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Detailed Information

Passport Data

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DOI
10.25642/IPK/GBIS/9904
Current scientific name
Triticum aestivum L. var. lutescens (Alef.) Mansf.
IPK Accession numbers
TRI 9932 (W 1862)
Availability
unrestricted available
Series
NA
Biological Status
Advanced/improved cultivar
Life form
winter type
ITPGRFA Annex1 crop
Wheat
Acquisition form
unknown
Acquisition date
1972
Genebank subcollection
GTR
AEGIS
No
MLS
Yes
Historic (data only)
No

Publications on the scientific name

ReportPublisher

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
Der Züchter. Zeitschrift für theoretische und angewandte Genetik. BerlinNAVol. 21, 1951field guide
  • 1 - 2
In our database there are 3634 accessions with this name.

Accession names

ReportAcessionNames

TypeNameLanguageNumber of similar
common accession nameStadlerUnknown1
  • 1 - 1

Geographic Data

ReportGeo

Coordinates
NA
Country of origin
USA (United States of America)
Collecting site:
NA
In our database there are 3915 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
Landwirtschaftliche Hochschule der Universität MissouriUnited States of AmericaCI 137041972donor number
  • 1 - 1
In our database there are 2 accessions from this donor.

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
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).160,47364451488720220328
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).42,927204341067920220328
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).6,8194214319464520220328
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).115,46089126396320220328
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Version 26.4