ArticleBMC genomics2025
Integrated genomic analysis of a diverse maize population reveals novel genes and superior predictive models for ear diameter.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (Plants (Basel, Switzerland) · 2026Article
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7 authors.
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Abstract
backgroundEar diameter (ED) is a key agronomic trait that significantly influences maize yield and is regulated by both genetic and environmental factors.
resultsWe systematically dissected the genetic basis of ED using a diverse multi-parent population of 858 recombinant inbred lines (RILs). Through an integrated approach combining quantitative trait locus (QTL) mapping and genome-wide association study (GWAS), we identified multiple stable loci associated with ED. Notably, we pinpointed two novel and significant loci on chromosomes 5 and 7, which harbor key candidate genes: Zm00001d020000, encoding a phosphatidate cytidylyltransferase involved in membrane biosynthesis, and Zm00001d016356, a putative Kinesin-like protein potentially regulating cell division. Functional annotation, haplotype, and protein structural analyses support their roles in regulating ear development. A comprehensive comparison of 13 genomic selection (GS) models, which demonstrated that the non-linear support vector regression (SVR) model achieved superior predictive accuracy. This highlights the substantial contribution of non-additive genetic effects, such as epistasis, to ED. Furthermore, we identified 45 elite RILs with stable performance across environments, providing valuable breeding materials.
conclusionsOur study unveils novel SNPs and candidate genes, elucidated the complex genetic architecture underlying maize ear diameter. We demonstrate that integrating GWAS and linkage mapping with advanced GS models provides a powerful strategy to dissect complex traits and deliver practical resources for accelerating yield improvement in maize breeding programs. The candidate genes identified represent promising targets for future functional validation.
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