Identification of major quantitative trait loci and candidate genes for seed weight in soybean.

Authors:
Xu M; Kong K; Miao L; He J; Liu T and 5 more

Journal:
Theor Appl Genet

Publication Year: 2023

DOI:
10.1007/s00122-023-04299-w

PMCID:
PMC9870841

PMID:
36688967

View on PubMed View on PMC View Publisher
Journal Information

Full Title: Theor Appl Genet

Abbreviation: Theor Appl Genet

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Genetics

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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"the raw sequencing data from this study have been deposited in the genome sequence archive in big data center ( https://bigd big ac cn/ ) beijing institute of genomics (big) chinese academy of sciences under the accession number: prjca013517."

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"Declarations Conflict of interestThe authors declare that they have no conflict of interest. Conflict of interest The authors declare that they have no conflict of interest."

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"Funding This work was supported by the National Key Research and Development Program of China (2021YFF1001204) and the Core Technology Development for Breeding Program of Jiangsu Province (JBGS-2021-014)."

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Last Updated: Aug 05, 2025