ArticleFrontiers in plant science2017
Candidate Loci for Yield-Related Traits in Maize Revealed by a Combination of MetaQTL Analysis and Regional Association Mapping.
Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.
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Who cites it
34 citing papers in PubMed, 4 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Consensus genomic regions for grain quality traits in wheat revealed by Meta-QTL analysis and in silico transcriptome integration.The plant genome · 2023Pooled it
- Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis.G3 (Bethesda, Md.) · 2023Pooled it
- Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.).BMC plant biology · 2022Pooled it
- Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Pooled it
- Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (Plants (Basel, Switzerland) · 2026Article
- Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (aBIOTECH · 2025Article
- Genetic Architecture and Meta-QTL Identification of Yield Traits in Maize (Plants (Basel, Switzerland) · 2025Article
- Identification of key candidate genes regulating hundred-grain weight in the maize inbred line Ye107 from Southern China.Plant cell reports · 2025Article
- Candidate Gene for Kernel-Related Traits in Maize Revealed by a Combination of GWAS and Meta-QTL Analyses.Plants (Basel, Switzerland) · 2025Article
- Novel candidate genes and genetic basis analysis of kernel starch content in tropical maize.BMC plant biology · 2025Article
- Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide association studies of Striga resistance in extra-early maturing quality protein maize inbred lines.G3 (Bethesda, Md.) · 2023Article
- Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Frontiers in genetics · 2023Article
- Mapping of QTLs for morphophysiological and yield traits under water-deficit stress and well-watered conditions in maize.Frontiers in plant science · 2023Article
- A meta-QTL analysis highlights genomic hotspots associated with phosphorus use efficiency in rice (Frontiers in plant science · 2023Article
- QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals.International journal of molecular sciences · 2022Review
- A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice.Frontiers in plant science · 2022Article
- Validating a Major Quantitative Trait Locus and Predicting Candidate Genes Associated With Kernel Width Through QTL Mapping and RNA-Sequencing Technology Using Near-Isogenic Lines in Maize.Frontiers in plant science · 2022Article
- Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size.Frontiers in plant science · 2021Article
- Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.Frontiers in plant science · 2021Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maize grain yield and related traits are complex and are controlled by a large number of genes of small effect or quantitative trait loci (QTL). Over the years, a large number of yield-related QTLs have been identified in maize and deposited in public databases. However, integrating and re-analyzing these data and mining candidate loci for yield-related traits has become a major issue in maize. In this study, we collected information on QTLs conferring maize yield-related traits from 33 published studies. Then, 999 of these QTLs were iteratively projected and subjected to meta-analysis to obtain metaQTLs (MQTLs). A total of 76 MQTLs were found across the maize genome. Based on a comparative genomics strategy, several maize orthologs of rice yield-related genes were identified in these MQTL regions. Furthermore, three potential candidate genes (Gene ID: GRMZM2G359974, GRMZM2G301884, and GRMZM2G083894) associated with kernel size and weight within three MQTL regions were identified using regional association mapping, based on the results of the meta-analysis. This strategy, combining MQTL analysis and regional association mapping, is helpful for functional marker development and rapid identification of candidate genes or loci.
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