ArticlePlants (Basel, Switzerland)2024
GWAS and Meta-QTL Analysis of Kernel Quality-Related Traits in Maize.
Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- From development to yield: genetic and molecular regulation of agronomic traits in maize seeds.Frontiers in plant science · 2026Review
- Genome-Wide Association Study Dissects the Genetic Architecture of Pericarp Traits in Fresh-Eating Maize.Plants (Basel, Switzerland) · 2025Article
- Meta-QTL analysis for mining key genes associated with seed oil content in maize.BMC plant biology · 2025Article
- Genetic basis of grain protein and fat contents preliminarily decoded in a foxtail millet biparental recombinant inbred line population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Integrative linkage mapping, GWAS, and RNA-Seq analysis unravel the genetic architecture and candidate genes for drought tolerance inHorticulture research · 2025Article
- Meta-QTL Analysis and Genes Responsible for Plant and Ear Height in Maize (Plants (Basel, Switzerland) · 2025Article
- Dissecting the genetic architecture of polygenic nutritional traits in maize through meta-QTL analysis.Food chemistry. Molecular sciences · 2025Article
- Candidate Gene for Kernel-Related Traits in Maize Revealed by a Combination of GWAS and Meta-QTL Analyses.Plants (Basel, Switzerland) · 2025Article
- Biofortification of baby corn: Integrating agronomic and genetic approaches to address zinc micronutrient deficiencies - global perspectives and future challenges.Frontiers in plant science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The quality of corn kernels is crucial for their nutritional value, making the enhancement of kernel quality a primary objective of contemporary corn breeding efforts. This study utilized 260 corn inbred lines as research materials and assessed three traits associated with grain quality. A genome-wide association study (GWAS) was conducted using the best linear unbiased estimator (BLUE) for quality traits, resulting in the identification of 23 significant single nucleotide polymorphisms (SNPs). Additionally, nine genes associated with grain quality traits were identified through gene function annotation and prediction. Furthermore, a total of 697 quantitative trait loci (QTL) related to quality traits were compiled from 27 documents, followed by a meta-QTL analysis that revealed 40 meta-QTL associated with these traits. Among these, 19 functional genes and reported candidate genes related to quality traits were detected. Three significant SNPs identified by GWAS were located within the intervals of these QTL, while the remaining eight significant SNPs were situated within 2 Mb of the QTL. In summary, the findings of this study provide a theoretical framework for analyzing the genetic basis of corn grain quality-related traits and for enhancing corn quality.
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Registered trials
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.