QTL and candidate genes identification for silique length based on ultra-dense genetic map in Brassica napus L.
| Accession | PRJNA588593 |
| Data Type | Raw sequence reads |
| Scope | Multispecies |
| Submission | Registration date: 10-Nov-2019
Oil Crops Research Institute (OCRI) of the Chinese Academy of Agricultural Sciences |
Project Data:
| Resource Name | Number
of Links |
|---|
| Sequence data |
| SRA Experiments | 280 |
| Other datasets |
| BioSample | 280 |