ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2014
Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.
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Who cites it
66 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Identification of a pleiotropic QTL and candidate genes underlying ear traits of maize (Zea mays L.) through controlling the activity of inflorescence meristem.BMC genomics · 2026Article
- Cloning and function analysis ofPlant signaling & behavior · 2025Article
- Candidate genes for kernel ratio in maize identified via combined GWAS and QTL mapping across multiple environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genetic Architecture and Meta-QTL Identification of Yield Traits in Maize (Plants (Basel, Switzerland) · 2025Article
- Genetic dissection of hundred-kernel weight through combined genome-wide association study and linkage analysis in tropical maize.BMC genomics · 2025Article
- Genetic dissection of maize grain moisture content and dehydration rate using high-density bin mapping in a recombinant inbred line population.BMC plant biology · 2025Article
- Candidate Gene for Kernel-Related Traits in Maize Revealed by a Combination of GWAS and Meta-QTL Analyses.Plants (Basel, Switzerland) · 2025Article
- Combined Genome-Wide Association Study and Linkage Analysis for Mining Candidate Genes for the Kernel Row Number in Maize (Plants (Basel, Switzerland) · 2024Article
- Genetic analysis of yield components in buckwheat using high-throughput sequencing analysis and wild resource populations.Physiology and molecular biology of plants : an international journal of functional plant biology · 2024Article
- Article
- Genetic variation in ZmKW1 contributes to kernel weight and size in dent corn and popcorn.Plant biotechnology journal · 2024Article
- Review
- GWAS and Meta-QTL Analysis of Yield-Related Ear Traits in Maize.Plants (Basel, Switzerland) · 2023Article
- Identification of Candidate QTLs and Genes for Ear Diameter by Multi-Parent Population in Maize.Genes · 2023Article
- Identifying yield-related genes in maize based on ear trait plasticity.Genome biology · 2023Article
- QTL mapping of maize (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- Combined linkage mapping and association analysis uncovers candidate genes for 25 leaf-related traits across three environments in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Construction of a high-density genetic map and dissection of genetic architecture of six agronomic traits in tobacco (Frontiers in plant science · 2023Article
6 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageTwelve major QTL in five optimal clusters and several epistatic QTL are identified for maize kernel size and weight, some with pleiotropic will be promising for fine-mapping and yield improvement. Kernel size and weight are important target traits in maize (Zea mays L.) breeding programs. Here, we report a set of quantitative trait loci (QTL) scattered through the genome and significantly controlled the performance of four kernel traits including length, width, thickness and weight. From the cross V671 (large kernel) × Mc (small kernel), 270 derived F2:3 families were used to identify QTL of maize kernel-size traits and kernel weight in five environments, using composite interval mapping (CIM) for single-environment analysis along with mixed linear model-based CIM for joint analysis. These two mapping strategies identified 55 and 28 QTL, respectively. Among them, 6 of 23 coincident were detected as interacting with environment. Single-environment analysis showed that 8 genetic regions on chromosomes 1, 2, 4, 5 and 9 clustered more than 60 % of the identified QTL. Twelve stable major QTLs accounting for over 10 % of phenotypic variation were included in five optimal clusters on the genetic region of bins 1.02-1.03, 1.04-1.06, 2.05-2.07, 4.07-4.08 and 9.03-9.04; the addition and partial dominance effects of significant QTL play an important role in controlling the development of maize kernel. These putative QTL may have great promising for further fine-mapping with more markers, and genetic improvement of maize kernel size and weight through marker-assisted breeding.
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