Meta-QTL analysis for mining key genes associated with seed oil content in maize

Collectively, these findings provide valuable insights into the genetic regulation of maize seed oil content and offer potential molecular targets for the development of high-oil maize varieties.

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Publication Details

Journal
BMC Plant Biology
Published
2025-10-29
DOI
https://doi.org/10.1186/s12870-025-07433-6
Citations
1
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
1.82

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article

Meta-QTL analysis for mining key genes associated with seed oil content in maize

Jinsheng Lai, Nan Zheng, Zilong Zhao, Qiujie Liu et al.
1 citations
BMC Plant Biology
Genetic Mapping and Diversity in Plants and Animals
1.82
article

Meta-QTL analysis for mining key genes associated with seed oil content in maize

Jinsheng Lai, Nan Zheng, Zilong Zhao, Qiujie Liu, Fei Yi, Wei Wang, Ke Li, Jian Chen
article en
1 citations

Abstract

Collectively, these findings provide valuable insights into the genetic regulation of maize seed oil content and offer potential molecular targets for the development of high-oil maize varieties.

BMC Plant BiologyVol. 25(1)
Ministry of Education (IR), Sanya University (CN), China Agricultural University (CN)
National Science and Technology Major Project, Chinese Universities Scientific Fund
Openalex Percentile: Top 12%
Genetic Mapping and Diversity in Plants and Animals
1.82
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Meta-QTL analysis for mining key genes associated with seed oil content in maize — Jinsheng Lai, Nan Zheng, et al. · BMC Plant Biology (2025) | TGRS Research Map | TGRS