ArticleInternational journal of molecular sciences2022
Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Genome-wide identification of the nuclear redox protein gene family revealed its potential role in drought stress tolerance in rice.Frontiers in plant science · 2025Article
- Article
- Analysis of Genetic Diversity in Adzuki Beans (Plants (Basel, Switzerland) · 2023Article
- Association Mapping and Expression Analysis of the Genes Involved in the Wood Formation of Poplar.International journal of molecular sciences · 2023Article
- Genome-Wide Association Study Identified Candidate Genes for Alkalinity Tolerance in Rice.Plants (Basel, Switzerland) · 2023Article
- Multi-model genome-wide association studies for appearance quality in rice.Frontiers in plant science · 2023Article
- Whole genome sequencing of ASD 16 and ADT 43 to identify predominant grain size and starch associated alleles in rice.Molecular biology reports · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Grain shape is an important agronomic character of rice, which affects the appearance, processing, and the edible quality. Screening and identifying more new genes associated with grain shape is beneficial to further understanding the genetic basis of grain shape and provides more gene resources for genetic breeding. This study has a natural population containing 623 indica rice cultivars. Genome-wide association studies/GWAS of several traits related to grain shape (grain length/GL, grain width/GW, grain length to width ratio/GLWR, grain circumferences/GC, and grain size/grain area/GS) were conducted by combining phenotypic data from four environments and the second-generation resequencing data, which have identified 39 important Quantitative trait locus/QTLs. We analyzed the 39 QTLs using three methods: gene-based association analysis, haplotype analysis, and functional annotation and identified three cloned genes (
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