ArticlePloS one2015
Genetic Diversity and Population Structure of Basmati Rice (Oryza sativa L.) Germplasm Collected from North Western Himalayas Using Trait Linked SSR Markers.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed.
- Metagenomic analysis to identify unique microbes in the rhizosphere of basmati rice (Oryza sativa L.) accessions.Scientific reports · 2025Article
- Agro-morphological and structural diversity of rice germplasm revealed by SSR markers in Benin Republic.Molecular biology reports · 2023Article
- Trait specific marker-based characterization and population structure analysis in rice (Oryza sativa L.) germplasm of Kashmir Himalayas.Molecular biology reports · 2023Article
- Article
- Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022Article
- Assessment of the Genetic Structure and Diversity of Soybean (Plants (Basel, Switzerland) · 2021Article
- Agro-morphological and genetic diversity studies in Rice (Oryza sativa L.) germplasm using microsatellite markers.Molecular biology reports · 2021Article
- Population genetic structure and association mapping for iron toxicity tolerance in rice.PloS one · 2021Article
- Unraveling the Relationship Between Seed Yield and Yield-Related Traits in a Diversity Panel ofFrontiers in plant science · 2021Article
- Association of molecular markers with physio-biochemical traits related to seed vigour in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020Article
- Knockdown of a Novel GeneGenes · 2020Article
- The level of genetic diversity and differentiation of tropical lotus, Nelumbo nucifera Gaertn. (Nelumbonaceae) from Australia, India, and Thailand.Botanical studies · 2020Article
- Article
- Variability Assessment for Root and Drought Tolerance Traits and Genetic Diversity Analysis of Rice Germplasm using SSR Markers.Scientific reports · 2019Article
- Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification.Molecular genetics and genomics : MGG · 2019Article
- Variability Assessment of Aromatic Rice Germplasm by Pheno-Genomic traits and Population Structure Analysis.Scientific reports · 2018Article
- Article
- Genome-Wide Association Mapping Reveals Multiple QTLs Governing Tolerance Response for Seedling Stage Chilling Stress inFrontiers in plant science · 2017Article
- Article
- Population Structure, Genetic Diversity and Molecular Marker-Trait Association Analysis for High Temperature Stress Tolerance in Rice.PloS one · 2016Article
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4 authors.
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Abstract
One hundred forty one basmati rice genotypes collected from different geographic regions of North Western Himalayas were characterized using 40 traits linked microsatellite markers. Number of alleles detected by the abovementioned primers were 112 with a maximum and minimum frequency of 5 and 2 alleles, respectively. The maximum and minimum polymorphic information content values were found to be 0.63 and 0.17 for the primers RM206 and RM213, respectively. The genetic similarity coefficient for the most number of pairs ranged between of 0.2-0.9 with the average value of 0.60 for all possible combinations, indicating moderate genetic diversity among the chosen genotypes. Phylogenetic cluster analysis of the SSR data based on distance divided all genotypes into four groups (I, II, III and IV), whereas model based clustering method divided these genotypes into five groups (A, B, C, D and E). However, the result from both the analysis are in well agreement with each other for clustering on the basis of place of collection and geographic region, except the local basmati genotypes which clustered into three subpopulations in structure analysis comparison to two clusters in distance based clustering. The diverse genotypes and polymorphic trait linked microsatellites markers in the present study will be used for the identification of quantitative trait loci/genes for different economically important traits to be utilized in molecular breeding programme of rice in the future.
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