ArticleBMC plant biology2022
Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations.
Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 51 citations in OpenAlex.
- Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction.The New phytologist · 2026Article
- Molecular dissection and functional characterization of the liguleless1 gene for manipulation of leaf angle in maize.Molecular genetics and genomics : MGG · 2026Article
- QTL mapping, validation, and candidate gene predicting for maize plant architecture traits via bulked segregant analysis plus linkage analysis with F₂ population.BMC plant biology · 2026Article
- Assessment of Intraspecific Diversity and Screening of Elite Genotypes ofPlants (Basel, Switzerland) · 2026Article
- Identification of subtropical breeding lines for ideal plant architecture in maize through multiple selection indices.Journal of applied genetics · 2026Article
- A multi-parent population approach to reveal the genetic basis of plant height in maize.BMC plant biology · 2025Article
- Meta-QTL Analysis and Identification of Candidate Genes Associated with Stalk Lodging in Maize (Current issues in molecular biology · 2025Article
- Meta-QTL Analysis and Genes Responsible for Plant and Ear Height in Maize (Plants (Basel, Switzerland) · 2025Article
- Analysis of the Causes of Split Pit in Peaches.International journal of molecular sciences · 2025Review
- Using Quantitative Trait Locus Mapping and Genomic Resources to Improve Breeding Precision in Peaches: Current Insights and Future Prospects.Plants (Basel, Switzerland) · 2025Review
- Mining candidate genes for maize plant height based on a GWAS, Meta-QTL, and WGCNA.Frontiers in plant science · 2025Article
- Genome-wide association study identifies novel genes for plant architecture and yield traits in cassava (Frontiers in plant science · 2025Article
- Exploring the Influence of Planting Densities and Mulching Types on Photosynthetic Activity, Antioxidant Enzymes, and Chlorophyll Content and Their Relationship to Yield of Maize.Plants (Basel, Switzerland) · 2024Article
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- Teosinte-Derived Advanced Backcross Population Harbors Genomic Regions for Grain Yield Attributing Traits in Maize.International journal of molecular sciences · 2024Article
- Joint-GWAS, Linkage Mapping, and Transcriptome Analysis to Reveal the Genetic Basis of Plant Architecture-Related Traits in Maize.International journal of molecular sciences · 2024Article
- 3D Morphological Feature Quantification and Analysis of Corn Leaves.Plant phenomics (Washington, D.C.) · 2024Article
- QTL mapping for plant height and ear height using bi-parental immortalized heterozygous populations in maize.Frontiers in plant science · 2024Article
- Review
- Genome-wide association study and high-quality gene mining related to soybean protein and fat.BMC genomics · 2023Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe plant architecture traits of maize determine the yield. Plant height, ear position, leaf angle above the primary ear and internode length above the primary ear together determine the canopy structure and photosynthetic efficiency of maize and at the same time affect lodging and disease resistance. A flat and tall plant architecture confers an obvious advantage in the yield of a single plant but is not conducive to dense planting and results in high rates of lodging; thus, it has been gradually eliminated in production. Although using plants that are too compact, short and density tolerant can increase the yield per unit area to a certain extent, the photosynthetic efficiency of such plants is low, ultimately limiting yield increases. Genetic mapping is an effective method for the improvement of plant architecture to identify candidate genes for regulating plant architecture traits.
resultsTo find the best balance between the yield per plant and the yield per unit area of maize, in this study, the F2:3 pedigree population and a RIL population with the same male parent were used to identify QTL for plant height (PH), ear height (EH), leaf angle and internode length above the primary ear (LAE and ILE) in Changchun and Gongzhuling for 5 consecutive years (2016-2020). A total of 11, 13, 23 and 13 QTL were identified for PH, EH, LAE, and ILE, respectively. A pleiotropic consistent QTL for PH overlapped with that for EH on chromosome 3, with a phenotypic variation explanation rate from 6.809% to 21.96%. In addition, there were major consistent QTL for LAE and ILE, and the maximum phenotypic contribution rates were 24.226% and 30.748%, respectively. Three candidate genes were mined from the three consistent QTL regions and were involved in the gibberellin-activated signal pathway, brassinolide signal transduction pathway and auxin-activated signal pathway, respectively. Analysis of the expression levels of the three genes showed that they were actively expressed during the jointing stage of vigorous maize growth.
conclusionsIn this study, three consistent major QTL related to plant type traits were identified and three candidate genes were screened. These results lay a foundation for the cloning of related functional genes and marker-assisted breeding of related functional genes.
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