Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (

Yanchao Du, Jingwen Xu, Huiming Li, Mingxing Zhou, Xu Pang, Jianbing Yan, Ye He, Guowu Lian, Faqiang Feng

Abstract read

In one paragraph

Article in Plants (Basel, Switzerland), 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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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yanchao DuShanxi Key Laboratory for Germplasm Innovation and Genetic Improvement in Staple Crop, Sorghum Research Institute, Shanxi Agricultural University, Jinzhong 030600, China.

Jingwen XuGuangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou 510642, China.ORCID 0009-0008-8266-8595

Huiming LiShanxi Key Laboratory for Germplasm Innovation and Genetic Improvement in Staple Crop, Sorghum Research Institute, Shanxi Agricultural University, Jinzhong 030600, China.

Mingxing ZhouGuangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou 510642, China.

Xu PangShanxi Key Laboratory for Germplasm Innovation and Genetic Improvement in Staple Crop, Sorghum Research Institute, Shanxi Agricultural University, Jinzhong 030600, China.

Jianbing YanShanxi Key Laboratory for Germplasm Innovation and Genetic Improvement in Staple Crop, Sorghum Research Institute, Shanxi Agricultural University, Jinzhong 030600, China.

Ye HeShanxi Province Agricultural Technology Extension Service Center, Taiyuan 030106, China.

Guowu LianShanxi Province Agricultural Technology Extension Service Center, Taiyuan 030106, China.

Faqiang FengGuangdong Provincial Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0003-3910-1514

Funding

Guangzhou Science and Technology Plan 2024B03J1303Guangzhou Science and Technology Plan 2025D04J0055Supported by the earmarked fund for Modern Agro-industry Technology Research System of Shanxi Province 2026CYJSTX01-03the Taiyuan City "Special" and "Excellent" Crop Variety Breeding Project 2024QT148

6 · The paper itself

Abstract

Sweet corn is a globally important dual-purpose crop for both food and fresh vegetables. The plant architecture and ear-related traits directly determine its yield potential and field ecological adaptability. To elucidate the genetic architecture of these traits and identify superior alleles for breeding, we conducted a genome-wide association study (GWAS) on 11 agronomic traits using 30,597 high-quality SNP markers in a panel of 101 elite sweet corn inbred lines. Population genetic structure was analyzed using sparse non-negative matrix factorization (sNMF) and discriminant analysis of principal components (DAPC) algorithms, revealing three main clusters and six subpopulations. The clustering pattern was highly consistent with germplasm origin. Association mapping with the fixed and random Circulating Probability Unification (FarmCPU) model identified 16 significant marker-trait associations (MTAs), distributed across seven target agronomic traits. The phenotypic variance explained (PVE) by individual loci ranged from 8.0% to 16.0%. Among these, five stable MTAs across environments, a novel ERN locus (SNP25518) specific to sweet corn, and most association intervals overlapped with previously reported quantitative trait loci (QTLs). Within the ±0.15 Mb (defined by LD decay) flanking windows around the significant SNP loci, a total of 236 candidate genes were annotated, which are primarily involved in hormone signaling, carbon and nitrogen metabolism, cell division, and plant growth and development. In summary, this study dissected the genetic basis of key agronomic traits in sweet corn and provides a foundation for marker-assisted selection and functional validation.

Indexed as

candidate genesear traitsgenome-wide association studymarker–trait associationsplant architecturesweet corn

Identifiers

PMID42588909

DOI10.3390/plants15152406

PMCPMC13468538

What Socratic holds

Textmetadata

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Registered trials

None linked

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 Socratic graph.