ArticleBMC plant biology2021
Multi-locus genome-wide association studies for five yield-related traits in rice.
Article in BMC plant biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Elevating RNA mNational science review · 2026Article
- Multi-locus genome-wide association mapping reveals loci underlying malt quality traits in heterogeneous Ethiopian Barley (Hordeum vulgare L.) germplasm.Scientific reports · 2026Article
- Multi-locus genome-wide association studies of aluminum stress indices in shoot and root traits at seedling stage in Ethiopian durum wheat (Triticum turgidum ssp. durum) genotypes.BMC plant biology · 2026Article
- CQD: A Rapid and Accurate Tool for Identifying High-Confidence QTLs and Candidate Genes from GWAS Summary Statistics.International journal of molecular sciences · 2026Article
- Unlocking the genetic control of early seedling resistance to wheat powdery mildew through microphenomics.Pest management science · 2026Article
- Genome-wide association study reveals genomic regions associated withFrontiers in plant science · 2026Article
- Genetic architecture of seed protein composition in grain amaranth (Frontiers in nutrition · 2026Article
- Superior haplotypes of genes associated with higher grain yield under reproductive stage drought stress in rice.Journal of experimental botany · 2025Article
- Exploring the polygenic landscape of wool traits in Turkish merinos through multi-locus GWAS approaches: Karacabey Merino.BMC veterinary research · 2025Article
- Multi-Experiment and Multi-Locus Genome-Wide Association Mapping for Grain Arsenic in Rice Population.Plant direct · 2025Article
- Identification of QTLs associated with grain yield-related traits of spring barley.BMC plant biology · 2025Article
- Multi-locus genome-wide association mapping for major agronomic and yield-related traits in sorghum (Sorghum bicolor (L.) moench) landraces.BMC genomics · 2025Article
- Genome-wide association study of fat content and fatty acid composition of shea tree (Vitellaria paradoxa C.F. Gaertn subsp. paradoxa).BMC genomics · 2025Article
- Multi-locus GWAS analysis identifies genomic regions associated with resistance to ergot (Claviceps africana) in sorghum.PloS one · 2025Article
- Multi-locus genome wide association study uncovers genetics of fresh seed dormancy in groundnut.BMC plant biology · 2024Article
- Multi-locus genome-wide association study for grain yield and drought tolerance indices in sorghum accessions.The plant genome · 2024Article
- Genome-wide association analyses using multilocus models on bananas (Musa spp.) reveal candidate genes related to morphology, fruit quality, and yield.G3 (Bethesda, Md.) · 2024Article
- Discovering New QTNs and Candidate Genes Associated with Rice-Grain-Related Traits within a Collection of Northeast Core Set and Rice Landraces.Plants (Basel, Switzerland) · 2024Article
- Multi-locus genome-wide association study reveal genomic regions underlying root system architecture traits in Ethiopian sorghum germplasm.The plant genome · 2024Article
- Insights into the genetic architecture of Phytophthora capsici root rot resistance in chile pepper (Capsicum spp.) from multi-locus genome-wide association study.BMC plant biology · 2024Article
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7 authors.
Funding
Abstract
backgroundImproving the overall production of rice with high quality is a major target of breeders. Mining potential yield-related loci have been geared towards developing efficient rice breeding strategies. In this study, one single-locus genome-wide association studies (SL-GWAS) method (MLM) in conjunction with five multi-locus genome-wide association studies (ML-GWAS) approaches (mrMLM, FASTmrMLM, pLARmEB, pKWmEB, and ISIS EM-BLASSO) were conducted in a panel consisting of 529 rice core varieties with 607,201 SNPs.
resultsA total of 152, 106, 12, 111, and 64 SNPs were detected by the MLM model associated with the five yield-related traits, namely grain length (GL), grain width (GW), grain thickness (GT), thousand-grain weight (TGW), and yield per plant (YPP), respectively. Furthermore, 74 significant quantitative trait nucleotides (QTNs) were presented across at least two ML-GWAS methods to be associated with the above five traits successively. Finally, 20 common QTNs were simultaneously discovered by both SL-GWAS and ML-GWAS methods. Based on genome annotation, gene expression analysis, and previous studies, two candidate key genes (LOC_Os09g02830 and LOC_Os07g31450) were characterized to affect GW and TGW, separately.
conclusionsThese outcomes will provide an indication for breeding high-yielding rice varieties in the immediate future.
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