Article3 Biotech2016
Assessment of genetic purity in rice (Oryza sativa L.) hybrids using microsatellite markers.
Article in 3 Biotech, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties.Plants (Basel, Switzerland) · 2025Article
- Application of Biochar-ImmobilizedPlants (Basel, Switzerland) · 2025Article
- Impact of Seed Origin and Genetic Drift of Improved Rice Variety IR841 in Benin.Rice (New York, N.Y.) · 2023Article
- New EST-SSR Markers for Individual Genotyping of Opium Poppy Cultivars (Plants (Basel, Switzerland) · 2019Article
- Hybrid identification forPeerJ · 2019Article
- Fingerprinting and genetic purity assessment of F3 Biotech · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective of the present study is to detect genetic impurity in the seed lots of CMS lines, restorers and hybrids and to identify signature markers to differentiate parents and hybrids through DNA-based assays. Furthermore, attempts have been made to find out an alternative to Grow-Out-Test, which is very tedious, time consuming and used conventionally for seed genetic purity testing since beginning of quality seed multiplication chain. Fifty-one rice-specific sequence tagged microsatellite (STMS) primer pairs distributed throughout the rice genome were employed for fingerprinting of eight rice hybrids and their parental lines with a view to assess variation within parental lines and to test the genetic purity of the commercial seed lots. Among those, 51 markers, 28 microsatellite markers showed polymorphism (54.90 %). A total of 98 alleles were obtained with an average of 1.92 alleles per primer pair and number of alleles amplified for each primer pair ranged from 1 to 4. A set of markers were identified to differentiate parental lines of the hybrids and which emphasizes the immense scope of those molecular markers for their use in the unambiguous identification of hybrid, which would be of great benefit to farmers that depend on the hybrids.
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Registered trials
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