SynthesisThe plant genome2019
Dissection of Leaf Angle Variation in Maize through Genetic Mapping and Meta-Analysis.
Synthesis in The plant genome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Mechanical Strength: An Unrecognised Target in the Genetic Improvement of Crops.Plant biotechnology journal · 2026Article
- Genetic mapping of dynamic control of leaf angle across multiple canopy levels in maize.The plant genome · 2024Article
- Quantifying Contributions of Different Factors to Canopy Photosynthesis in 2 Maize Varieties: Development of a Novel 3D Canopy Modeling Pipeline.Plant phenomics (Washington, D.C.) · 2023Article
- Genome-wide association analysis of plant architecture traits using doubled haploid lines derived from different cycles of the Iowa Stiff Stalk Synthetic maize population.Frontiers in plant science · 2023Article
- Identification and molecular mapping of a major quantitative trait locus underlying branch angle in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Leaf angle: a target of genetic improvement in cereal crops tailored for high-density planting.Plant biotechnology journal · 2022Review
- Characterization and genetic dissection of maize ear leaf midrib acquired by 3D digital technology.Frontiers in plant science · 2022Article
- Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis.Frontiers in genetics · 2022Article
- Comprehensive analytical and empirical evaluation of genomic prediction across diverse accessions in maize.The plant genome · 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
- Maize Introgression Library Provides Evidence for the Involvement ofG3 (Bethesda, Md.) · 2020Article
- Leaf Angle eXtractor: A high-throughput image processing framework for leaf angle measurements in maize and sorghum.Applications in plant sciences · 2020Article
- Abscisic Acid Represses Rice Lamina Joint Inclination by Antagonizing Brassinosteroid Biosynthesis and Signaling.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maize ( L.) hybrids have transitioned to upright leaf angles (LAs) over the last 50 yr as maize yields and planting densities increased concurrently. Genetic mapping and a meta-analysis were conducted in the present study to dissect genetic factors controlling LA variation. We developed mapping populations using inbred lines B73 (Iowa Stiff Stalk Synthetic), PHW30 (Iodent, expired plant variety protection inbred), and Mo17 (Non-Stiff Stalk) that have distinct LA architectures and represent three important heterotic groups in the United States. These populations were genotyped using genotyping-by-sequencing (GBS), and phenotyped for LA in the F and F generation. Inclusive composite interval mapping across the two generations of the mapping populations revealed 12 quantitative trait loci (QTL), and a consistent QTL on chromosome 1 explained 10 to 17% of the phenotypic variance. To gain a comprehensive understanding of natural variations underlying LA variation, these detected QTL were compared with results from 19 previous studies. In total, 495 QTL were compiled and mapped into 143 genomic bins. A meta-analysis revealed that 58 genomic bins were associated with LA variation. Thirty-three candidate genes were identified in these genomic bins. Together, these results provide evidence of QTL controlling LA variation from inbred lines representing three important heterotic groups in the United States and a useful resource for future research into the molecular variants underlying specific regions of the genome associated with LA variation.
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