ArticleNature communications2016
Genome-wide association and high-resolution phenotyping link Oryza sativa panicle traits to numerous trait-specific QTL clusters.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.
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99 citing papers in PubMed, 234 citations in OpenAlex.
- Haplotype-based multi-locus genome-wide association study reveals genomic regions associated with reproductive stage high temperature stress tolerance in rice.Plant molecular biology · 2026Article
- MMGS: a novel genomic prediction framework to integrate genotype, environment and their interactions for multi-environment breeding trials.Horticulture research · 2026Article
- Genome-wide association study for root-related traits at vegetative growth stages of soybean (Glycine max L. Merrill).BMC genomics · 2026Article
- Analysis of Genetic Variation of Rice Straw Characteristics and Its Influence on Biomass.Plant direct · 2026Article
- Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (aBIOTECH · 2025Article
- Genome-wide association studies unveil candidate genes linked with fruit fiber traits in Calotropis procera.Planta · 2025Article
- Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.Scientific reports · 2025Article
- Beyond the Standard GWAS-A Guide for Plant Biologists.Plant & cell physiology · 2025Review
- Natural Variation of PH8 Allele Improves Architecture and Cold Tolerance in Rice.Rice (New York, N.Y.) · 2025Article
- Breaking the barrier of human-annotated training data for machine learning-aided plant research using aerial imagery.Plant physiology · 2025Article
- Identification of a key locus, qRL8.1, associated with root length traits during seed germination under salt stress via a genome-wide association study in rice.BMC plant biology · 2025Article
- Gene Pyramiding Strategies for Sink Size and Source Capacity for High-Yield Japonica Rice Breeding.Rice (New York, N.Y.) · 2025Review
- Characterization of quantitative trait loci from DJ123 (Molecular breeding : new strategies in plant improvement · 2024Article
- Diversity analysis of panicle traits in Chinese prickly ash germplasm resources and their influence on its systematic classification.Scientific reports · 2024Article
- Identifying the Quantitative Trait Locus and Candidate Genes of Traits Related to Milling Quality in Rice via a Genome-Wide Association Study.Plants (Basel, Switzerland) · 2024Article
- Molecular markers and molecular basis of plant type related traits in maize.Frontiers in genetics · 2024Article
- Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks.Nature communications · 2023Article
- SpykProps: an imaging pipeline to quantify architecture in unilateral grass inflorescences.Plant methods · 2023Article
- Genomic introgressions from African rice (Oryza glaberrima) in Asian rice (O. sativa) lead to the identification of key QTLs for panicle architecture.BMC genomics · 2023Article
- BSA-Seq for the Identification of Major Genes for EPN in Rice.International journal of molecular sciences · 2023Article
39 more citing papers are in PubMed but not listed here.
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Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice panicle architecture is a key target of selection when breeding for yield and grain quality. However, panicle phenotypes are difficult to measure and susceptible to confounding during genetic mapping due to correlation with flowering and subpopulation structure. Here we quantify 49 panicle phenotypes in 242 tropical rice accessions with the imaging platform PANorama. Using flowering as a covariate, we conduct a genome-wide association study (GWAS), detect numerous subpopulation-specific associations, and dissect multi-trait peaks using panicle phenotype covariates. Ten candidate genes in pathways known to regulate plant architecture fall under GWAS peaks, half of which overlap with quantitative trait loci identified in an experimental population. This is the first study to assess inflorescence phenotypes of field-grown material using a high-resolution phenotyping platform. Herein, we establish a panicle morphocline for domesticated rice, propose a genetic model underlying complex panicle traits, and demonstrate subtle links between panicle size and yield performance.
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