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Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (Zea mays L.)

Crossref DOI link: https://doi.org/10.1007/s42994-025-00241-4

Published Print: 2025-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Zhou, Ying

Heng, Yanfang

Chen, Shoukun

Wang, Jinglu

He, Kunhui

Geng, Jiahui

Fan, Kaijian

Xiao, Yonggui

Huang, Changling

Wang, Jiankang

Zhang, Enying

Li, Liang

Li, Huihui https://orcid.org/0000-0002-9117-5011
Funding

Funding for this research was provided by:

the National Key R&D Program of China (2022ZD0115703)

the Hainan Provincial Natural Science Foundation of China (725QN518)

the project of Sanya Yazhou Bay Science and Technology City (SKIC-JYRC-2024-55)

the Agricultural Science and Technology Innovation Program (CAAS-CSIAF-202303)
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Text and Data Mining valid from 2025-12-01

Text and Data Mining valid from 2025-12-01

Version of Record valid from 2026-01-30
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This article is maintained by: Elsevier

Article Title: Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (Zea mays L.)

Journal Title: aBIOTECH

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s42994-025-00241-4

Content Type: article

Copyright: Copyright © 2025 © 2025 THE AUTHORS. Published by Elsevier B.V. on behalf of Agricultural Information Institute of CAAS. Published by Elsevier B.V.