ArticleFrontiers in plant science2016
Genome-Wide Identification of QTL for Seed Yield and Yield-Related Traits and Construction of a High-Density Consensus Map for QTL Comparison in Brassica napus.
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Dissection of B subgenome of Brassica juncea through monosomic addition lines in Brassica napus: phenomic, cytological and genotypic insights.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Optimization and application of genome prediction model in rapeseed: flowering time, yield components, and oil content as examples.Horticulture research · 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
- SNP-based linkage mapping reveals novel quantitative trait loci for yield traits in noug (Frontiers in plant science · 2025Article
- Integrating GWAS, RNA-Seq and functional analysis revealed that BnaA02.SE mediates silique elongation by affecting cell proliferation and expansion in Brassica napus.Plant biotechnology journal · 2024Article
- Identification of Rapeseed (International journal of molecular sciences · 2024Article
- Envirotyping within a multi-environment trial allowed identifying genetic determinants of winter oilseed rape yield stability.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Article
- Genetic analysis and QTL mapping for silique density in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Dissecting the Meiotic Recombination Patterns in aInternational journal of molecular sciences · 2023Article
- Linkage and association mapping of ovule number per ovary (ON) in oilseed rape (Molecular breeding : new strategies in plant improvement · 2023Article
- Integrated multi-locus genome-wide association studies and transcriptome analysis for seed yield and yield-related traits inFrontiers in plant science · 2023Article
- Genome-Wide Association Studies of Salt Tolerance at the Seed Germination Stage and Yield-Related Traits inInternational journal of molecular sciences · 2022Article
- Genome-wide association study identifies candidate genes and favorable haplotypes for seed yield inMolecular breeding : new strategies in plant improvement · 2022Article
- Integrated genetic mapping and transcriptome analysis reveal the BnaA03.IAA7 protein regulates plant architecture and gibberellin signaling in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Further insight into decreases in seed glucosinolate content based on QTL mapping and RNA-seq in Brassica napus L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genomic selection and genetic architecture of agronomic traits during modern rapeseed breeding.Nature genetics · 2022Article
- Fine mapping of qDB.A03, a QTL for rapeseed branching, and identification of the candidate gene.Molecular genetics and genomics : MGG · 2022Article
- Systematic trait dissection in oilseed rape provides a comprehensive view, further insight, and exact roadmap for yield determination.Biotechnology for biofuels and bioproducts · 2022Article
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12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Seed yield (SY) is the most important trait in rapeseed, is determined by multiple seed yield-related traits (SYRTs) and is also easily subject to environmental influence. Many quantitative trait loci (QTLs) for SY and SYRTs have been reported in Brassica napus; however, no studies have focused on seven agronomic traits simultaneously affecting SY. Genome-wide QTL analysis for SY and seven SYRTs in eight environments was conducted in a doubled haploid population containing 348 lines. Totally, 18 and 208 QTLs for SY and SYRTs were observed, respectively, and then these QTLs were integrated into 144 consensus QTLs using a meta-analysis. Three major QTLs for SY were observed, including cqSY-C6-2 and cqSY-C6-3 that were expressed stably in winter cultivation area for 3 years and cqSY-A2-2 only expressed in spring rapeseed area. Trait-by-trait meta-analysis revealed that the 144 consensus QTLs were integrated into 72 pleiotropic unique QTLs. Among them, all the unique QTLs affected SY, except for uq.A6-1, including uq.A2-3, uq.C1-2, uq.C1-3, uq.C6-1, uq.C6-5, and uq.C6-6 could also affect more than two SYRTs. According to the constructed high-density consensus map and QTL comparison from literatures, 36 QTLs from five populations were co-localized with QTLs identified in this study. In addition, 13 orthologous genes were observed, including five each gene for SY and thousand seed weight, and one gene each for biomass yield, branch height, and plant height. The genomic information of these QTLs will be valuable in hybrid cultivar breeding and in analyzing QTL expression in different environments.
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