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

Identify QTLs and candidate genes underlying source-, sink-, and grain yield-related traits in rice by integrated analysis of bi-parental and natural populations.

PloS one - 1 Jan 2020

Wang Yun, Wang Junmin, Zhai Laiyuan, Liang Chengwei, Chen Kai, Xu Jianlong

Abstract excerpt

The source-sink relationship determines the ultimate grain yield of rice. In this study, we used a set of reciprocal introgression lines (ILs) derived from Xuishui09 × IR2061 to map quantitative trait loci (QTLs) that were associated with sink-, source-, and grain yield-related traits. A total of 95 QTLs influencing eight measured traits were identified using 6181 high-quality single nucleotide polymorphism...

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 Edible Grain

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genes, Plant

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 32797075
DOI: 10.1371/journal.pone.0237774
PMCID: PMC7428182

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

Identify QTLs and candidate genes underlying source-, sink-, and grain yield-related traits in rice by integrated analysis of bi-parental and natural populations.PMID 32797075Read ↗

Molecular dissection of the genetic relationships of source, sink and transport tissue with yield traits in rice.Semantic proximity Read ↗

QTL analysis of novel genomic regions associated with yield and yield related traits in new plant type based recombinant inbred lines of rice (Oryza sativa L.).Semantic proximity Read ↗

Genetic analysis of the panicle traits related to yield sink size of rice.Semantic proximity Read ↗

Genetic mapping of a QTL controlling source-sink size and heading date in rice.Semantic proximity Read ↗

Analysis of QTLs for yield-related traits in Yuanjiang common wild rice (Oryza rufipogon Griff.).Semantic proximity Read ↗

Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population.Semantic proximity Read ↗

Genetic dissection of yield traits in super hybrid rice Xieyou9308 using both unconditional and conditional genome-wide association mapping.Semantic proximity Read ↗

Whole-genome quantitative trait locus mapping reveals major role of epistasis on yield of rice.Semantic proximity Read ↗

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

Genetic mapping for grain quality and yield-attributed traits in Basmati rice using SSR-based genetic map.Semantic proximity Read ↗

Genomic regions involved in yield potential detected by genome-wide association analysis in Japanese high-yielding rice cultivars.Semantic proximity Read ↗

Quantitative trait loci for rice yield-related traits using recombinant inbred lines derived from two diverse cultivars.Semantic proximity Read ↗

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