ArticleHeredity2017
Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits.
Article in Heredity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- A genome-wide association study unveils the genetic architecture of morphological and biomass partitioning traits in maize under iron-deficient stress.Scientific reports · 2026Article
- SeqSNP-based genic markers reveal genetic architecture and candidate genes for low nitrogen tolerance in tropical maize inbred lines.Frontiers in plant science · 2025Article
- Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 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
- Combining genotyping approaches improves resolution for association mapping: a case study in tropical maize under water stress conditions.Frontiers in plant science · 2024Article
- Identifying QTLs involved in hybrid performance and heterotic group complementarity: new GWAS models applied to factorial and admixed diallel maize hybrid panels.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Article
- Identification of QTLs and Putative Candidate Genes for Plant Architecture of Lotus Revealed by Regional Association Mapping.Plants (Basel, Switzerland) · 2023Article
- Elucidating the patterns of pleiotropy and its biological relevance in maize.PLoS genetics · 2023Article
- Review
- Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn.Nature communications · 2021Article
- Univariate and Multivariate QTL Analyses Reveal Covariance Among Mineral Elements in the Rice Ionome.Frontiers in genetics · 2021Article
- Article
- Discovery of beneficial haplotypes for complex traits in maize landraces.Nature communications · 2020Article
- Interaction Between Induced and Natural Variation atG3 (Bethesda, Md.) · 2020Article
- High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array.BMC genomics · 2019Article
- Network trade-offs and homeostasis in Arabidopsis shoot architectures.PLoS computational biology · 2019Article
- Genotyping-by-sequencing and SNP-arrays are complementary for detecting quantitative trait loci by tagging different haplotypes in association studies.BMC plant biology · 2019Article
- Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome.Plant direct · 2019Article
- Cellulose synthase-like D1 controls organ size in maize.BMC plant biology · 2018Article
Corrections and comments
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Plant architecture, phenology and yield components of cultivated plants have repeatedly been shaped by selection to meet human needs and adaptation to different environments. Here we assessed the genetic architecture of 24 correlated maize traits that interact during plant cycle. Overall, 336 lines were phenotyped in a network of 9 trials and genotyped with 50K single-nucleotide polymorphisms. Phenology was the main factor of differentiation between genetic groups. Then yield components distinguished dents from lower yielding genetic groups. However, most of trait variation occurred within group and we observed similar overall and within group correlations, suggesting a major effect of pleiotropy and/or linkage. We found 34 quantitative trait loci (QTLs) for individual traits and six for trait combinations corresponding to PCA coordinates. Among them, only five were pleiotropic. We found a cluster of QTLs in a 5 Mb region around Tb1 associated with tiller number, ear row number and the first PCA axis, the latter being positively correlated to flowering time and negatively correlated to yield. Kn1 and ZmNIP1 were candidate genes for tillering, ZCN8 for leaf number and Rubisco Activase 1 for kernel weight. Experimental repeatabilities, numbers of QTLs and proportion of explained variation were higher for traits related to plant development such as tillering, leaf number and flowering time, than for traits affected by growth such as yield components. This suggests a simpler genetic determinism with larger individual QTL effects for the first category.
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