ArticlePloS one2015
Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis.The plant genome · 2019Pooled it
- Bulked Segregant Analysis Revealed the Common Resistant QTLs Associated with Fusarium Ear Rot and Gibberella Ear Rot in Maize.Plants (Basel, Switzerland) · 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
- Quantitative trait loci mapping of heterosis for leaf morphological traits and candidate gene identification in maize.BMC plant biology · 2026Article
- Genetic mapping of dynamic control of leaf angle across multiple canopy levels in maize.The plant genome · 2024Article
- A potential candidate gene associated with the angles of the ear leaf and the second leaf above the ear leaf in maize.BMC plant biology · 2023Article
- QTL Analysis Reveals Conserved and Differential Genetic Regulation of Maize Lateral Angles above the Ear.Plants (Basel, Switzerland) · 2023Article
- Genetic mapping and prediction of flowering time and plant height in a maize Stiff Stalk MAGIC population.Genetics · 2022Article
- Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations.BMC plant biology · 2022Article
- Leaf angle: a target of genetic improvement in cereal crops tailored for high-density planting.Plant biotechnology journal · 2022Review
- Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis.Frontiers in genetics · 2022Article
- Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.Biomolecules · 2021Review
- Genome-wide association studies of leaf angle in maize.Molecular breeding : new strategies in plant improvement · 2021Article
- Developmental genetics of maize vegetative shoot architecture.Molecular breeding : new strategies in plant improvement · 2021Article
- Mapping quantitative trait loci and predicting candidate genes for leaf angle in maize.PloS one · 2021Article
- Synergistic Interaction of Phytohormones in Determining Leaf Angle in Crops.International journal of molecular sciences · 2020Review
- Linkage mapping and genome-wide association study reveals conservative QTL and candidate genes for Fusarium rot resistance in maize.BMC genomics · 2020Article
- Genetic Mapping with Background Control for Quantitative Trait Locus (QTL) in 8-Parental Pure-Line Populations.The Journal of heredity · 2019Article
- Article
- Combining Three Mapping Strategies to Reveal Quantitative Trait Loci and Candidate Genes for Maize Ear Length.The plant genome · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing grain yield by the selection for optimal plant architecture has been the key focus in modern maize breeding. As a result, leaf angle, an important determinant of plant architecture, has been significantly improved to adapt to the ever-increasing plant density in maize production over the past several decades. To extend our understanding on the genetic mechanisms of leaf angle in maize, we developed the first four-way cross mapping population, consisting of 277 lines derived from four maize inbred lines with varied leaf angles. The four-way cross mapping population together with the four parental lines were evaluated for leaf angle in two environments. In this study, we reported linkage maps built in the population and quantitative trait loci (QTL) on leaf angle detected by inclusive composite interval mapping (ICIM). ICIM applies a two-step strategy to effectively separate the cofactor selection from the interval mapping, which controls the background additive and dominant effects at the same time. A total of 14 leaf angle QTL were identified, four of which were further validated in near-isogenic lines (NILs). Seven of the 14 leaf angle QTL were found to overlap with the published leaf angle QTL or genes, and the remaining QTL were unique to the four-way population. This study represents the first example of QTL mapping using a four-way cross population in maize, and demonstrates that the use of specially designed four-way cross is effective in uncovering the basis of complex and polygenetic trait like leaf angle in maize.
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