ArticleThe plant genome2021
Genetic control of kernel compositional variation in a maize diversity panel.
Article in The plant genome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Temporal phenotypic responses of early vegetative maize to heat, drought, and combined stresses.The Plant journal : for cell and molecular biology · 2026Article
- Article
- From development to yield: genetic and molecular regulation of agronomic traits in maize seeds.Frontiers in plant science · 2026Review
- Mean and variance heterogeneity loci impact kernel compositional traits in maize.The plant genome · 2025Article
- Decades' progress and prospects on maize functional genomics and molecular breeding.Science China. Life sciences · 2025Review
- Novel candidate genes and genetic basis analysis of kernel starch content in tropical maize.BMC plant biology · 2025Article
- Temporally resolved growth patterns reveal novel information about the polygenic nature of complex quantitative traits.The Plant journal : for cell and molecular biology · 2024Article
- Discovery of candidate genes enhancing kernel protein content in tropical maize introgression lines.BMC plant biology · 2024Article
- Importance of genetic architecture in marker selection decisions for genomic prediction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Article
- Association mapping across a multitude of traits collected in diverse environments in maize.GigaScience · 2022Article
- Genetic control of kernel compositional variation in a maize diversity panel.The plant genome · 2021Article
- Predicting moisture content during maize nixtamalization using machine learning with NIR spectroscopy.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Integrating Genomic and Phenomic Approaches to Support Plant Genetic Resources Conservation and Use.Plants (Basel, Switzerland) · 2021Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maize (Zea mays L.) is a multi-purpose row crop grown worldwide, which, over time, has often been bred for increased yield at the detriment of lower composition grain quality. Some knowledge of the genetic factors that affect quality traits has been discovered through the study of classical maize mutants; however, much of the underlying genetic control of these traits and the interaction between these traits remains unknown. To better understand variation that exists for grain compositional traits in maize, we evaluated 501 diverse temperate maize inbred lines in five unique environments and predicted 16 compositional traits (e.g., carbohydrates, protein, and starch) based on the output of near-infrared (NIR) spectroscopy. Phenotypic analysis found substantial variation for compositional traits and the majority of variation was explained by genetic and environmental factors. Correlations and trade-offs among traits in different maize types (e.g., dent, sweetcorn, and popcorn) were explored, and significant differences and meaningful correlations were detected. In total, 22.9-71.0% of the phenotypic variation across these traits could be explained using 2,386,666 single nucleotide polymorphism (SNP) markers generated from whole-genome resequencing data. A genome-wide association study (GWAS) was conducted using these same markers and found 72 statistically significant SNPs for 11 compositional traits. This study provides valuable insights in the phenotypic variation and genetic control underlying compositional traits that can be used in breeding programs for improving maize grain quality.
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