|
| 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). | 89,6565552418505 | 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). | 3,97549494347079 | 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). | 3,82737329706778 | 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). | 167,687001731012 | 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). | 162,030986849447 | 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). | 126,152146337309 | 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). | 48,6884262658112 | 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). | 46,9057864948588 | 20220328 |
| Pflanzenlänge (Halm, Ähre und Grannen) | NA | 129 | 19940701 |
| Blühdatum [Tage] | Number of days since 1 January of the running year | 167 | 19940617 |
| Aussaatdatum [Tage] | days after 1st January | 279 | 19931007 |