ArticleScientific reports2021
Genome-wide association study and Mendelian randomization analysis provide insights for improving rice yield potential.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice.Nature communications · 2025Pooled it
- Dissecting the Genetic Basis of Yield Traits and Validation of a Novel Quantitative Trait Locus for Grain Width and Weight in Rice.Plants (Basel, Switzerland) · 2024Article
- Evaluation of Grain-Filling-Related Traits Using Taichung 65 x DV85 Chromosome Segment Substitution Lines (TD-CSSLs) of Rice.Plants (Basel, Switzerland) · 2024Article
- mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite-Phenotype Associations.Metabolites · 2023Article
- Genome-wide association study and genomic prediction for yield and grain quality traits of hybrid rice.Molecular breeding : new strategies in plant improvement · 2022Article
- Genome-wide association study and transcriptome analysis dissect the genetic control of silique length in Brassica napus L.Biotechnology for biofuels · 2021Article
- Association Study and Mendelian Randomization Analysis Reveal Effects of the Genetic Interaction BetweenFrontiers in plant science · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rice yield per plant has a complex genetic architecture, which is mainly determined by its three component traits: the number of grains per panicle (GPP), kilo-grain weight (KGW), and tillers per plant (TP). Exploring ideotype breeding based on selection for genetically less complex component traits is an alternative route for further improving rice production. To understand the genetic basis of the relationship between rice yield and component traits, we investigated the four traits of two rice hybrid populations (575 + 1495 F
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