ArticleFrontiers in plant science2016
QTL Detection and Elite Alleles Mining for Stigma Traits in Oryza sativa by Association Mapping.
Article in Frontiers in plant science, 2016. 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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Who cites it
22 citing papers in PubMed.
- Identification of candidate gene controlling TSSL via BSA-seq and fine mapping and germplasm innovation in rice.BMC genomics · 2025Article
- Improvement of the outcrossing ability of CMS lines by pyramiding QTLs for SER.Molecular breeding : new strategies in plant improvement · 2025Article
- Genetic Analysis and Fine Mapping of QTLs for Stigma Exsertion Rate in Rice.Rice (New York, N.Y.) · 2024Article
- Research Progress on the Trait of Stigma Exsertion in Rice.Plants (Basel, Switzerland) · 2024Review
- Four QTLs control stigma exsertion rate by changing stigma size in rice.Molecular breeding : new strategies in plant improvement · 2024Article
- Grain shape is a factor affecting the stigma exsertion rate in rice.Frontiers in plant science · 2023Article
- Genome-Wide association analysis of phenotypic traits in Bambara groundnut under drought-stressed and non-stressed conditions based on DArTseq SNP.Frontiers in plant science · 2023Article
- Comparative Transcriptome Analysis Identified Key Pathways and Genes Regulating Differentiated Stigma Color in Melon (International journal of molecular sciences · 2022Article
- Linkage mapping and association analysis to identify a reliable QTL for stigma exsertion rate in rice.Frontiers in plant science · 2022Article
- SYL3-k increases style length and yield of FTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- QTL Mapping of a Novel Genomic Region Associated with High Out-Crossing Rate Derived from Oryza longistaminata and Development of New CMS Lines in Rice, O. sativa L.Rice (New York, N.Y.) · 2021Article
- OsSYL2The Plant journal : for cell and molecular biology · 2020Article
- Research and Development Strategies for Hybrid japonica Rice.Rice (New York, N.Y.) · 2020Review
- Mining of favorable alleles for seed reserve utilization efficiency in Oryza sativa by means of association mapping.BMC genetics · 2020Article
- Fine mapping a quantitative trait locus, qSER-7, that controls stigma exsertion rate in rice (Oryza sativa L.).Rice (New York, N.Y.) · 2019Article
- Article
- Identification of favorable SNP alleles and candidate genes responsible for inflorescence-related traits via GWAS in chrysanthemum.Plant molecular biology · 2019Article
- Genome-wide association study identifies favorable SNP alleles and candidate genes for waterlogging tolerance in chrysanthemums.Horticulture research · 2019Article
- Mining of favorable alleles for lodging resistance traits in rice (oryza sativa) through association mapping.Planta · 2018Article
- Identification of putative markers linked to grain plumpness in rice (Oryza sativa L.) via association mapping.BMC genetics · 2017Article
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6 authors.
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Abstract
Stigma traits are very important for hybrid seed production in Oryza sativa, which is a self-pollinated crop; however, the genetic mechanism controlling the traits is poorly understood. In this study, we investigated the phenotypic data of 227 accessions across 2 years and assessed their genotypic variation with 249 simple sequence repeat (SSR) markers. By combining phenotypic and genotypic data, a genome-wide association (GWA) map was generated. Large phenotypic variations in stigma length (STL), stigma brush-shaped part length (SBPL) and stigma non-brush-shaped part length (SNBPL) were found. Significant positive correlations were identified among stigma traits. In total, 2072 alleles were detected among 227 accessions, with an average of 8.3 alleles per SSR locus. GWA mapping detected 6 quantitative trait loci (QTLs) for the STL, 2 QTLs for the SBPL and 7 QTLs for the SNBPL. Eleven, 5, and 12 elite alleles were found for the STL, SBPL, and SNBPL, respectively. Optimal cross designs were predicted for improving the target traits. The detected genetic variation in stigma traits and QTLs provides helpful information for cloning candidate STL genes and breeding rice cultivars with longer STLs in the future.
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