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Accession: PRJNA778303 ID: 778303

Novel QTL and Meta-QTL Mapping for Major Quality Traits in Soybean

The results promote the understandings on the biosynthesis and regulation of isoflavones, protein and oil at molecular levels, and facilitate the construction of molecular modular for great quality traits in soybean.
Data TypeRaw sequence reads
  • Published online: Chen H et al., "Novel QTL and Meta-QTL Mapping for Major Quality Traits in Soybean", Frontiers in Plant Science, 2021;12
  • "Strategic Priority Research Program of Chinese Academy of Sciences" (Grant ID XDA24030403-3, Chinese Academy of Sciences)
  • "Regional Key Project of STS of Chinese Academy of Sciences" (Grant ID KFJ-STS-QYZX-126, Chinese Academy of Sciences)
SubmissionRegistration date: 5-Nov-2021
Northeast Institute of geography and AGgroecology, Chinese Academy of Sciences
Project Data:
Resource NameNumber
of Links
Sequence data
SRA Experiments149
Other datasets
SRA Data Details
Data volume, Gbases571
Data volume, Tbytes0.19

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