ArticleGenetics2009
Unraveling the complex trait of crop yield with quantitative trait loci mapping in Brassica napus.
Article in Genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 4 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
182 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Meta-analysis of seed weight QTLome using a consensus and highly dense genetic map in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Pooled it
- Discovery of common loci and candidate genes for controlling salt-alkali tolerance and yield-related traits in Brassica napus L.Plant cell reports · 2023Pooled it
- QTL analysis and candidate gene prediction for seed density per silique by QTL-seq and RNA-seq in spring Brassica napus L.PloS one · 2023Pooled it
- QTL mapping of yield-associated traits in Brassica juncea: meta-analysis and epistatic interactions using two different crosses between east European and Indian gene pool lines.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012Pooled it
- Harnessing microRNA regulatory networks for engineering climate resilience and nutritional enhancement in millets.Stress biology · 2026Review
- Dissecting the genetic architecture of silique-related traits in rapeseed (Brassica napus L.) through genome-wide association studies and transcriptome analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- An integrated fine-mapping, re-sequencing and transcriptome analysis provides further insights and candidate genes for silique number in oilseed rape (Brassica napus L.).BMC plant biology · 2026Article
- Article
- Methylome differences among barley inbreds and their association with genomic, transcriptomic, and phenotypic variation.Journal of experimental botany · 2026Article
- Co-identification of candidate regions associated with ovule number per ovary through QTL analysis and GWAS inBreeding science · 2025Article
- Large-scale screening of genes responsible for silique length and seed size in Brassica Napus via pooled CRISPR library.BMC genomics · 2025Article
- Antagonistic effects of selection on alleles associated with seed size and seed dormancy in wheat.Genome biology · 2025Article
- Enhancing Oil Content in Oilseed Crops: Genetic Insights, Molecular Mechanisms, and Breeding Approaches.International journal of molecular sciences · 2025Review
- Cytological and genetic analyses of the seed number per silique locus BnSNSC09 in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Fine mapping and candidate gene analysis of the major QTL qSW-A03 for seed weight in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Whole-genome mapping reveals QTLs linked to key agronomic traits in bi-parental populations of field cress (Lepidium campestre).BMC plant biology · 2025Article
- Epigenetic odyssey to decrypt the hidden code for sustainable brassica production: enhancing yield, stress resilience and nutritional quality.Frontiers in plant science · 2025Review
- Identification of Rapeseed (International journal of molecular sciences · 2024Article
- Multi-trait multi-environment genomic prediction of preliminary yield trial in pulse crop.The plant genome · 2024Article
- Exploring silique number in Brassica napus L.: Genetic and molecular advances for improving yield.Plant biotechnology journal · 2024Review
122 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 loci (QTL) for seed yield along with 785 QTL for eight yield-associated traits, from 10 natural environments and two related populations of rapeseed. A trait-by-trait meta-analysis revealed 401 consensus QTL, of which 82.5% were clustered and integrated into 111 pleiotropic unique QTL by meta-analysis, 47 of which were relevant for seed yield. The complexity of the genetic architecture of yield was demonstrated, illustrating the pleiotropy, synthesis, variability, and plasticity of yield QTL. The idea of estimating indicator QTL for yield QTL and identifying potential candidate genes for yield provides an advance in methodology for complex traits.
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