Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantitative trait locus mapping and candidate gene analysis for plant architecture traits using whole genome re-sequencing in rice.

Molecules and cells - 1 Feb 2014

Lim Jung-Hyun, Yang Hyun-Jung, Jung Ki-Hong, Yoo Soo-Cheul, Paek Nam-Chon

Abstract excerpt

Plant breeders have focused on improving plant architecture as an effective means to increase crop yield. Here, we identify the main-effect quantitative trait loci (QTLs) for plant shape-related traits in rice (Oryza sativa) and find candidate genes by applying whole genome re-sequencing of two parental cultivars using next-generation sequencing. To identify QTLs influencing plant shape, we analyzed six traits:...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chromosomes, Plant
Share to Genes, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Association Studies

Share to High-Throughput Nucleotide Sequencing

Share to Plant Leaves

Share to Quantitative Trait Loci

Share to Sequence Analysis, DNA

Source

Open in PubMed Open full text

Identifiers

PMID: 24599000
DOI: 10.14348/molcells.2014.2336
PMCID: PMC3935628

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantitative trait locus mapping and candidate gene analysis for plant architecture traits using whole genome re-sequencing in rice.PMID 24599000Read ↗

Whole genome sequencing-based association study to unravel genetic architecture of cooked grain width and length traits in rice.Semantic proximity Read ↗

SNP-based QTL mapping and identification of panicle structure-related genes in rice.Semantic proximity Read ↗

Genetic variation and association mapping for 12 agronomic traits in indica rice.Semantic proximity Read ↗

Grain shape in rice: a Genome-wide association study of the effector genes.Semantic proximity Read ↗

Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study.Semantic proximity Read ↗

Genome-wide association study using whole-genome sequencing rapidly identifies new genes influencing agronomic traits in rice.Semantic proximity Read ↗

Genome wide association mapping for grain shape traits in indica rice.Semantic proximity Read ↗

Large-scale genomic and phenomic analyses of modern cultivars empower future rice breeding design.Semantic proximity Read ↗

Gains in QTL detection using an ultra-high density SNP map based on population sequencing relative to traditional RFLP/SSR markers.Semantic proximity Read ↗

Mapping QTLs for improving grain yield using the USDA rice mini-core collection.Semantic proximity Read ↗

Genomic regions associated with flag leaf and panicle architecture in rice (Oryza sativa L.).Semantic proximity Read ↗

Joint Mapping and Allele Mining of the Rolled Leaf Trait in Rice (Oryza sativa L.).Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.