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| 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). | 133,560044120835 | 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). | 5,32504388733368 | 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). | 4,97953265876209 | 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). | 161,981956719234 | 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). | 159,519760687328 | 20220328 |
| 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). | 126,937293955522 | 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). | 49,0403735822275 | 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). | 45,7810991581417 | 20220328 |
| Pflanzenlänge (Halm, Ähre und Grannen) | NA | 150 | 20110713 |
| Blühdatum [Tage] | Number of days since 1 January of the running year | 148 | 20110529 |
| Aussaatdatum [Tage] | days after 1st January | 277 | 20101005 |