ArticlePlants (Basel, Switzerland)2021
SNP- and Haplotype-Based GWAS of Flowering-Related Traits in
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Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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Who cites it
22 citing papers in PubMed, 29 citations in OpenAlex.
- Genome-wide cyclin gene evolution in Arabidopsis and Brassica reveals polyploidization-driven duplication and flowering-time associations.Molecular genetics and genomics : MGG · 2026Article
- Genetic characteristics and agronomic traits in leafy head Chinese cabbage breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- ZnO nanoparticles enhance vernalized rapeseed yield under cadmium stress by boosting photosynthesis and antioxidant response while reducing cadmium accumulation.Plant cell reports · 2026Article
- Exploring the potential of naked barley to manage deoxynivalenol accumulation from Fusarium head blight.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrative haplotype and SNP-based GWAS supports the identification of stable genomic loci controlling yield-related traits in soybean.Frontiers in plant science · 2026Article
- HaploVar: An R package for defining local haplotype variants for trait association and trait prediction analyses.Bioinformatics (Oxford, England) · 2025Article
- Genotype imputation from low-coverage WGS using haplotype reference panels in cultivated strawberry.BMC genomics · 2025Article
- Elucidation of the genetic basis of variation in flowering time in Brassica napus via genome-wide association studies and gene coexpression analysis.BMC plant biology · 2025Article
- Review
- Genome-Wide Identification of B-Box Family Genes and Their Potential Roles in Seed Development under Shading Conditions in Rapeseed.Plants (Basel, Switzerland) · 2024Article
- DArTseq-Based, High-Throughput Identification of Novel Molecular Markers for the Detection of Blackleg (International journal of molecular sciences · 2024Article
- Genome-wide association study and transcriptome analysis reveal natural variation of key genes regulation flowering time in rapeseed.Molecular breeding : new strategies in plant improvement · 2024Article
- Dissection of quantitative trait nucleotides and candidate genes associated with agronomic and yield-related traits under drought stress in rapeseed varieties: integration of genome-wide association study and transcriptomic analysis.Frontiers in plant science · 2024Article
- Breeding and biotechnology approaches to enhance the nutritional quality of rapeseed byproducts for sustainable alternative protein sources- a critical review.Frontiers in plant science · 2024Review
- Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach.Frontiers in plant science · 2023Article
- Mapping of Two Major QTLs Controlling Flowering Time inPlants (Basel, Switzerland) · 2022Article
- Article
- Genome-wide detection of genotype environment interactions for flowering time inFrontiers in plant science · 2022Article
- Investigation ofHorticulture research · 2022Article
- Comprehensive transcriptome analysis reveals heat-responsive genes in flowering Chinese cabbage (Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 1 country.
Mmu HelalKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.ORCID 0000-0003-1034-6526
Rafaqat Ali GillKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.ORCID 0000-0001-6553-9312
Minqiang TangKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Li YangKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Ming HuKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Lingli YangKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Meili XieKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Chuanji ZhaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.ORCID 0000-0002-2100-2510
Xiaohui ChengKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Yuanyuan ZhangKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Xiong ZhangKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.
Shengyi LiuKey Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of Chinese Academy of Agricultural Sciences, Wuhan 430062, China.ORCID 0000-0002-4955-4763
Chinese Academy of Agricultural Sciences · CNHainan University · CN
Funding
Agricultural Science and Technology Innovation Project of the Chinese Academy of Agricultural Sciences CAAS-ASTIPChina Agriculture Research System CARS-1305National Natural Science Foundation of China 31801730National Natural Science Foundation of China U20A2034
Abstract
Traits related to flowering time are the most promising agronomic traits that directly impact the seed yield and oil quality of rapeseed (
Indexed as
Brassica napusflowering timehaplotypesQTLSNP
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