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Identification and core gene-mining of Weighted Gene Co-expression Network Analysis-based co-expression modules related to flood resistance in quinoa seedlings

Crossref DOI link: https://doi.org/10.1186/s12864-024-10638-y

Published Online: 2024-07-29

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Xuqin

Bai, Yutao

Zhang, Lingyuan

Jiang, Guofei

Zhang, Ping

Liu, Junna

Li, Li

Huang, Liubin

Qin, Peng
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Text and Data Mining valid from 2024-07-29

Version of Record valid from 2024-07-29
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Article History

Received: 5 May 2024

Accepted: 19 July 2024

First Online: 29 July 2024

Declarations

:

: The study complies with relevant institutional, national, and international guidelines and legislations. All procedures were conducted in accordance with the guidelines. We hereby declare that the materials used in this study (Dianli-STZH, Dianli-60、Yuncaili-2) were independently selected and bred by Qin Peng’s group at Yunnan Agricultural University and have the right to use them. In this study, stable quinoa lines independently selected by Yunnan Agricultural University were used as materials, and named Dianli-STZH, Dianli-60、Yuncaili-2 by Professor Qin Peng. The lines of quinoa seeds are cultivars, not wild. Quinoa seeds are collected with permission in accordance with institutional and national guidelines. The collection of quinoa lines is in line with institutional and national guidelines.

: Not applicable.

: The authors declare no competing interests.

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