ArticleBMC genomics2015
Unravelling the complex trait of harvest index in rapeseed (Brassica napus L.) with association mapping.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 103 citations in OpenAlex.
- Comprehensive Analyses of Serine Protease-like Protease (SBT) in Regulating Yield Characters in Rapeseed (Plants (Basel, Switzerland) · 2026Article
- Genetic Analyses, BSA-Seq, and Transcriptome Analyses Reveal Candidate Genes Controlling Leaf Plastochron in Rapeseed (Plants (Basel, Switzerland) · 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
- Exploring silique number in Brassica napus L.: Genetic and molecular advances for improving yield.Plant biotechnology journal · 2024Review
- Evaluating Yield, Nutritional Quality, and Environmental Impact of Quinoa Straws across Mediterranean Water Environments.Plants (Basel, Switzerland) · 2024Article
- Transcriptomic Profiling of Shoot Apical Meristem Aberrations in the Multi-Main-Stem Mutant (Genes · 2023Article
- Genome-Wide Identification and Posttranscriptional Regulation Analyses Elucidate Roles of Key Argonautes and Their miRNA Triggers in Regulating Complex Yield Traits in Rapeseed.International journal of molecular sciences · 2023Article
- Overexpressing Arabidopsis thaliana ACBP6 in transgenic rapid-cycling Brassica napus confers cold tolerance.Plant methods · 2022Article
- Fine mapping of qDB.A03, a QTL for rapeseed branching, and identification of the candidate gene.Molecular genetics and genomics : MGG · 2022Article
- Transcriptomic analysis of rapeseed (Frontiers in plant science · 2022Article
- Leveraging a graft collection to develop metabolome-based trait prediction for the selection of tomato rootstocks with enhanced salt tolerance.Horticulture research · 2022Article
- Transcriptome and Small RNA Sequencing Reveal the Mechanisms Regulating Harvest Index inFrontiers in plant science · 2022Article
- Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed.Biomolecules · 2021Review
- The Bnapus50K array: a quick and versatile genotyping tool for Brassica napus genomic breeding and research.G3 (Bethesda, Md.) · 2021Article
- High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed.Plant biotechnology journal · 2020Article
- A combination of genome-wide association study and transcriptome analysis in leaf epidermis identifies candidate genes involved in cuticular wax biosynthesis in Brassica napus.BMC plant biology · 2020Article
- Fine mapping of the BnUC2 locus related to leaf up-curling and plant semi-dwarfing in Brassica napus.BMC genomics · 2020Article
- Article
- The pomegranate (Punica granatum L.) draft genome dissects genetic divergence between soft- and hard-seeded cultivars.Plant biotechnology journal · 2020Article
- Fine-mapping and transcriptome analysis of a candidate gene controlling plant height inBiotechnology for biofuels · 2020Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHarvest index (HI), the ratio of grain yield to total biomass, is considered as a measure of biological success in partitioning assimilated photosynthate to the harvestable product. While crop production can be dramatically improved by increasing HI, the underlying molecular genetic mechanism of HI in rapeseed remains to be shown.
resultsIn this study, we examined the genetic architecture of HI using 35,791 high-throughput single nucleotide polymorphisms (SNPs) genotyped by the Illumina BrassicaSNP60 Bead Chip in an association panel with 155 accessions. Five traits including plant height (PH), branch number (BN), biomass yield per plant (BY), harvest index (HI) and seed yield per plant (SY), were phenotyped in four environments. HI was found to be strongly positively correlated with SY, but negatively or not strongly correlated with PH. Model comparisons revealed that the A-D test (ADGWAS model) could perfectly balance false positives and statistical power for HI and associated traits. A total of nine SNPs on the C genome were identified to be significantly associated with HI, and five of them were identified to be simultaneously associated with HI and SY. These nine SNPs explained 3.42% of the phenotypic variance in HI.
conclusionsOur results showed that HI is a complex polygenic phenomenon that is strongly influenced by both environmental and genotype factors. The implications of these results are that HI can be increased by decreasing PH or reducing inefficient transport from pods to seeds in rapeseed. The results from this association mapping study can contribute to a better understanding of natural variations of HI, and facilitate marker-based breeding for HI.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.