ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2010
Quantitative trait loci mapping of leaf angle and leaf orientation value in maize (Zea mays L.).
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Genome-wide meta-analysis of QTL for morphological related traits of flag leaf in bread wheat.PloS one · 2022Pooled it
- Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis.The plant genome · 2019Pooled it
- Pooled it
- Genetic Mapping and Functional Characterisation of GhCUP Regulating Leaf Curling in Cotton.Plant biotechnology journal · 2026Article
- Identification of subtropical breeding lines for ideal plant architecture in maize through multiple selection indices.Journal of applied genetics · 2026Article
- Quantitative trait loci mapping of heterosis for leaf morphological traits and candidate gene identification in maize.BMC plant biology · 2026Article
- Fine-mapping and validation of the major quantitative trait locus QFlANG-4B for flag leaf angle in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genetic mapping of dynamic control of leaf angle across multiple canopy levels in maize.The plant genome · 2024Article
- 3D Morphological Feature Quantification and Analysis of Corn Leaves.Plant phenomics (Washington, D.C.) · 2024Article
- Restructuring plant types for developing tailor-made crops.Plant biotechnology journal · 2023Review
- QTL Analysis Reveals Conserved and Differential Genetic Regulation of Maize Lateral Angles above the Ear.Plants (Basel, Switzerland) · 2023Article
- Silage maize as a potent candidate for sustainable animal husbandry development-perspectives and strategies for genetic enhancement.Frontiers in genetics · 2023Review
- Molecular and functional dissection of LIGULELESS1 (LG1) in plants.Frontiers in plant science · 2023Review
- 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
- Article
- Maize plant architecture trait QTL mapping and candidate gene identification based on multiple environments and double populations.BMC plant biology · 2022Article
- RIP2 interacts with REL1 to control leaf architecture by modulating brassinosteroid signaling in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Representation of Leaf-to-Canopy Radiative Transfer Processes Improves Simulation of Far-Red Solar-Induced Chlorophyll Fluorescence in the Community Land Model Version 5.Journal of advances in modeling earth systems · 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
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A major limiting factor for high productivity of maize (Zea mays L.) in dense planting is light penetration through the canopy. Plant architecture with a narrower leaf angle (LA) and an optimum leaf orientation value (LOV) is desirable to increase light capture for photosynthesis and production per unit area. However, the genetic control of the plant architecture traits remains poorly understood in maize. In this study, QTL for LA, LOV, and related traits were mapped using a set of 229 F(2:3) families derived from the cross between compact and expanded inbred lines, evaluated in three environments. Twenty-five QTL were detected in total. Three of the QTL explained 37.4% and five of the QTL explained 53.9% of the phenotypic variance for LA and LOV, respectively. Two key genome regions controlling leaf angle and leaf orientation were identified. qLA1 and qLOV1 at nearest marker umc2226 on chromosome 1.02 accounted for 20.4 and 23.2% of the phenotypic variance, respectively; qLA5 and qLOV5 at nearest bnlg1287 on chromosome 5 accounted for 9.7 and 9.8% of the phenotypic variance, respectively. These QTL could provide useful information for marker-assisted selection in improving performance of plant architecture with regard to leaf angle and orientation.
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