ArticleRice (New York, N.Y.)2015
Analysis of Population Structure and Genetic Diversity in Rice Germplasm Using SSR Markers: An Initiative Towards Association Mapping of Agronomic Traits in Oryza Sativa.
Article in Rice (New York, N.Y.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.
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62 citing papers in PubMed, 217 citations in OpenAlex.
- OsMYB306-OsRAV11 Regulates Resistance of Rice to Striped Stem Borer by Modulating Serotonin Biosynthesis.Plant biotechnology journal · 2026Article
- Genomic Insights into the Genetic Diversity, Selection Signals, and Agronomic Traits of Rice (Plants (Basel, Switzerland) · 2026Article
- A technique for measuring non-structural carbohydrate reserves in flag leaves of paddy rice using Fourier transform infrared spectroscopy (FTIR).Plant methods · 2025Article
- Genetic Diversity and Population Structure of Shanlan Upland Rice Germplasm Based on SSR Markers.Plants (Basel, Switzerland) · 2025Article
- Intraspecific Genetic Diversity Analyses of Yam (Ecology and evolution · 2025Article
- Unlocking genetic hotspots: GWAS reveals key nitrogen responsive genomic regions and key genes for root and yield traits in indica rice.Molecular genetics and genomics : MGG · 2025Article
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- Genetic diversity, population structure and marker-trait associations in Indian kale (Heliyon · 2024Article
- Genome-wide SNP discovery and genotyping delineates potential QTLs underlying major yield-attributing traits in buckwheat.The plant genome · 2024Article
- Assessing the Genetic Diversity of Parents for Developing Hybrids Through Morphological and Molecular Markers in Rice (Oryza sativa L.).Rice (New York, N.Y.) · 2024Article
- Agro-morphological and structural diversity of rice germplasm revealed by SSR markers in Benin Republic.Molecular biology reports · 2023Article
- Dissecting genomic regions and underlying sheath blight resistance traits in rice (Plant direct · 2023Article
- A Comprehensive Genome-Wide Investigation of the Cytochrome 71 (Plants (Basel, Switzerland) · 2023Article
- Genetic diversity and population structure analysis ofHeliyon · 2023Article
- Evaluation of diverse soybean genotypes for seed longevity and its association with seed coat colour.Scientific reports · 2023Article
- Genome wide association mapping of yield and various desirable agronomic traits in Rice.Molecular biology reports · 2022Article
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- Migratory behaviour of Brown planthopper,3 Biotech · 2022Article
- Transposable element polymorphisms improve prediction of complex agronomic traits in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Article
2 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGenetic diversity is the main source of variability in any crop improvement program. It serves as a reservoir for identifying superior alleles controlling key agronomic and quality traits through allele mining/association mapping. Association mapping based on LD (Linkage dis-equilibrium), non-random associations between causative loci and phenotype in natural population is highly useful in dissecting out genetic basis of complex traits. For any successful association mapping program, understanding the population structure and assessing the kinship relatedness is essential before making correlation between superior alleles and traits. The present study was aimed at evaluating the genetic variation and population structure in a collection of 192 rice germplasm lines including local landraces, improved varieties and exotic lines from diverse origin.
resultsA set of 192 diverse rice germplasm lines were genotyped using 61 genome wide SSR markers to assess the molecular genetic diversity and genetic relatedness. Genotyping of 192 rice lines using 61 SSRs produced a total of 205 alleles with the PIC value of 0.756. Population structure analysis using model based and distance based approaches revealed that the germplasm lines were grouped into two distinct subgroups. AMOVA analysis has explained that 14 % of variation was due to difference between with the remaining 86 % variation may be attributed by difference within groups.
conclusionsBased on these above analysis viz., population structure and genetic relatedness, a core collection of 150 rice germplasm lines were assembled as an association mapping panel for establishing marker trait associations.
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