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

Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.

Genetics - 1 Jul 2009

Shi Jiaqin, Li Ruiyuan, Qiu Dan, Jiang Congcong, Long Yan, Morgan Colin, Bancroft Ian, Zhao Jianyi, Meng Jinling

Abstract excerpt

Yield is the most important and complex trait for the genetic improvement of crops. Although much research into the genetic basis of yield and yield-associated traits has been reported, in each such experiment the genetic architecture and determinants of yield have remained ambiguous. One of the most intractable problems is the interaction between genes and the environment. We identified 85 quantitative trait...

Read the complete abstract on PubMed

Topics

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

Share to Biomass
Share to Brassica napus
Share to Chromosomes, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Crosses, Genetic

Share to Flowers

Share to Genes, Plant

Share to Genome, Plant

Source

Open in PubMed Open full text

Identifiers

PMID: 19414564
DOI: 10.1534/genetics.109.101642
PMCID: PMC2710164

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.PMID 19414564Read ↗

Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.Semantic proximity Read ↗

Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.Semantic proximity Read ↗

Association mapping of six yield‑related traits in rapeseed (Brassica napus L.).Semantic proximity Read ↗

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

Quantitative Genomic Dissection of Soybean Yield Components.Semantic proximity Read ↗

Genetic architecture underpinning yield component traits in wheat.Semantic proximity Read ↗

Yield QTLome distribution correlates with gene density in maize.Semantic proximity Read ↗

Large-scale integration of meta-QTL and genome-wide association study discovers the genomic regions and candidate genes for yield and yield-related traits in bread wheat.Semantic proximity Read ↗

Genome-wide association study and Mendelian randomization analysis provide insights for improving rice yield potential.Semantic proximity Read ↗

Genetic and correlation analysis of silique-traits in Brassica napus L. by quantitative trait locus mapping.Semantic proximity Read ↗

Quantitative trait loci analysis and genome-wide comparison for silique related traits in Brassica napus.Semantic proximity Read ↗

Unveiling core genomic regions shaping plant architecture, productivity, and seed quality traits in sesame (Sesamum indicum L.): insights from Meta-QTL study into breeding targets.Semantic proximity Read ↗

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