ArticleFrontiers in plant science2023
Investigating the genetic basis of maize ear characteristics: a comprehensive genome-wide study utilizing high-throughput phenotypic measurement method and system.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 9 citations in OpenAlex.
- Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (Plants (Basel, Switzerland) · 2026Article
- Integrating 3D phenotyping and functional-structural plant models for crop ideotype breeding.Nature communications · 2026Review
- 3D point cloud driven organ semantic segmentation to assess maize structural responses along the planting-density gradient.Plant phenomics (Washington, D.C.) · 2026Article
- Integrating QTL mapping with transcriptome analysis uncovers candidate genes of ear length in maize.BMC plant biology · 2026Article
- Performance of early- and intermediate-maturing maize hybrids for grain yield and secondary traits under multiple stress environments.Frontiers in plant science · 2026Article
- The impact of asymmetrical gene expression on the development of spike morphology iniMetaOmics · 2025Article
- Effects of Bandwidth on Ear Differentiation and Grain Yield Formation of Maize in Strip Intercropping.Plants (Basel, Switzerland) · 2025Article
- Genetic analysis of ear, husk, and tassel traits in tropical maize under diverse environments.Frontiers in plant science · 2025Article
- Review
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9 authors at 1 institution in 1 country.
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Abstract
The morphology of maize ears plays a critical role in the breeding of new varieties and increasing yield. However, the study of traditional ear-related traits alone can no longer meet the requirements of breeding. In this study, 20 ear-related traits, including size, shape, number, and color, were obtained in 407 maize inbred lines at two sites using a high-throughput phenotypic measurement method and system. Significant correlations were found among these traits, particularly the novel trait ear shape (ES), which was correlated with traditional traits: kernel number per row and kernel number per ear. Pairwise comparison tests revealed that the inbred lines of tropical-subtropical were significantly different from other subpopulations in row numbers per ear, kernel numbers per ear, and ear color. A genome-wide association study identified 275, 434, and 362 Single nucleotide polymorphisms (SNPs) for Beijing, Sanya, and best linear unbiased prediction scenarios, respectively, explaining 3.78% to 24.17% of the phenotypic variance. Furthermore, 58 candidate genes with detailed functional descriptions common to more than two scenarios were discovered, with 40 genes being associated with color traits on chromosome 1. After analysis of haplotypes, gene expression, and annotated information, several candidate genes with high reliability were identified, including
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