Evidence map›Paper›PMID 41634578›Full record

ArticleBMC plant biology2026

Genome-wide association study identifies key loci and candidate genes for maize grain yield-related traits.

Ming Chen, Jiakun Wen, Jiajia Li, Yuanqiang Hu, Junyan Liu, Jiarui Chen, Zhaofeng Liu, Mengshi Wang, Zixuan Zheng, Qiurong Liu and 8 more

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

18 authors.

Ming Chen *College of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Jiakun Wen *College of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Jiajia Li *College of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Yuanqiang Hu *College of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Junyan LiuCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Jiarui ChenCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Zhaofeng LiuCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Mengshi WangCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Zixuan ZhengCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Qiurong LiuCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Xiaodi ZhengCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Yucong LiCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Wei qianCaiCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Weiwei ChenInstitute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, Guangdong, China.
Xuhui LiInstitute of Nanfan and Seed Industry, Guangdong Academy of Science, Guangzhou, 510316, Guangdong, China.
Lina FanCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China. biofln@163.com.
Ruiqiang LaiCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China. 1033980612@qq.com.
Yongwen QiCollege of Agriculture & Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China. yongwen2001@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain traits, including kernel dimensions and weight, are key determinants of maize yield and quality. To dissect their genetic basis, we evaluated kernel length, width, thickness, 100‑kernel weight, and volume in 187 maize accessions across two years, revealing significant trait correlations consistent with shared genetic regulation. Genome‑wide association studies identified 284 stable loci associated with these traits over both years, with 199, 225, 7, 8, and 6 loci linked to kernel length, width, thickness, 100‑kernel weight, and volume, respectively. Phenotypic effect analysis highlighted 284 favorable alleles, enabling the prediction of promising hybrid combinations for multi‑locus pyramiding. From associated regions, 41 candidate genes were prioritized, and functional enrichment analyses indicated their involvement in transcriptional regulation, phosphorylation, and steroid biosynthesis. Key candidate genes linked to chromatin remodeling, ribosome assembly, translation, phosphorylation, and carbohydrate metabolism (e.g., 4‑coumarate‑CoA ligase) were highlighted as potential regulators of grain development. This study provides novel genetic resources and a theoretical foundation for marker‑assisted breeding aimed at optimizing whole‑grain phenotypes and enhancing maize productivity.

Indexed as

Edible GrainGenes, PlantQuantitative Trait LociSeedsZea maysGenome-Wide Association StudyPhenotypeCandidate genesFavorable allelesGrain yield-related traitsGWASMaize

Identifiers

PMID41634578
PMCPMC12954924

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.