ArticleScientific reports2020
Molecular mapping of QTLs for yield related traits in recombinant inbred line (RIL) population derived from the popular rice hybrid KRH-2 and their validation through SNP genotyping.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Functional synergy and genomic linkage of glyphosate resistance traits in Canada fleabane.Pest management science · 2026Article
- Identification of Novel Quantitative Trait Loci and Candidate Genes Associated with Grain Yield and Related Traits Under Low-Light Stress Conditions in Rice.Biomolecules · 2025Article
- Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects.International journal of molecular sciences · 2025Review
- Article
- Hybrid Rice Production: A Worldwide Review of Floral Traits and Breeding Technology, with Special Emphasis on China.Plants (Basel, Switzerland) · 2024Review
- Identification of a Branch Number Locus in Soybean Using BSA-Seq and GWAS Approaches.International journal of molecular sciences · 2024Article
- Comparative quantitative trait loci analysis framework reveals relationships between salt stress responsive phenotypes and pathways.Frontiers in plant science · 2024Article
- Mapping of QTLs associated with yield and related traits under reproductive stage drought stress in rice using SNP linkage map.Molecular biology reports · 2023Article
- Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals.Genes · 2023Review
- Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Frontiers in genetics · 2023Article
- Genome-wide identification of quantitative trait loci for morpho-agronomic and yield-related traits in foxtail millet (Setaria italica) across multi-environments.Molecular genetics and genomics : MGG · 2022Article
- A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice.Frontiers in plant science · 2022Article
- Genome-wide association study reveals novel genomic regions governing agronomic and grain quality traits and superior allelic combinations for Basmati rice improvement.Frontiers in plant science · 2022Article
- Whole-Genome Sequencing of KMR3 andFrontiers in plant science · 2022Article
- Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population.3 Biotech · 2021Article
- Drought Resistance Loci in Recombinant Lines of IranianBiotech (Basel (Switzerland)) · 2021Article
- Automated predictive analytics tool for rainfall forecasting.Scientific reports · 2021Article
- Toward Integrated Multi-Omics Intervention: Rice Trait Improvement and Stress Management.Frontiers in plant science · 2021Review
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25 authors.
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Abstract
The study was undertaken to identify the quantitative trait loci (QTLs) governing yield and its related traits using a recombinant inbred line (RIL) population derived from the popular rice hybrid, KRH-2 (IR58025A/KMR3R). A genetic map spanning 294.2 cM was constructed with 126 simple sequence repeats (SSR) loci uniformly distributed across the rice genome. QTL analysis using phenotyping and genotyping information identified a total of 22 QTLs. Of these, five major effect QTLs were identified for the following traits: total grain yield/plant (qYLD3-1), panicle weight (qPW3-1), plant height (qPH12-1), flag leaf width (qFLW4-1) and panicle length (qPL3-1), explaining 20.23-22.76% of the phenotypic variance with LOD scores range of 6.5-10.59. Few genomic regions controlling several traits (QTL hotspot) were identified on chromosome 3 for total grain yield/plant (qYLD3-1) and panicle length (qPL3-1). Significant epistatic interactions were also observed for total grain yield per plant (YLD) and panicle length (PL). While most of these QTLs were observed to be co-localized with the previously reported QTL regions, a novel, major QTL associated with panicle length (qPL3-1) was also identified. SNP genotyping of selected high and low yielding RILs and their QTL mapping with 1,082 SNPs validated most of the QTLs identified through SSR genotyping. This facilitated the identification of novel major effect QTLs with much better resolution and precision. In-silico analysis of novel QTLs revealed the biological functions of the putative candidate gene (s) associated with selected traits. Most of the high-yielding RILs possessing the major yield related QTLs were identified to be complete restorers, indicating their possible utilization in development of superior rice hybrids.
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