ArticleMolecular biology reports2021
A novel barcode system for rapid identification of rice (Oryza sativa L.) varieties using agro-morphological descriptors and molecular markers.
Article in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Cross-Transferability of SSR Markers from Rice to Little Millet (Panicum sumatrense Roth ex Roem. & Schult) for Genetic Diversity and DNA Fingerprinting.Biochemical genetics · 2026Article
- SSR genotyping of 200 tea (Camellia sinensis) clones obtained by selection and DNA barcoding of 12 varietal registration candidates.BMC plant biology · 2025Article
- Haplotype analysis of QTLs governing early seedling vigor-related traits under dry-direct-seeded rice (Oryza sativa L.) conditions.Molecular biology reports · 2023Article
- DNA-Based Tools to Certify Authenticity of Rice Varieties-An Overview.Foods (Basel, Switzerland) · 2022Review
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11 authors.
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Abstract
Rice varietal identification is a crucial aspect in breeding, seed production and trade in order to protect the interests of the farmers and consumers. As the number of varieties released is rising every year, the need to identify them unambiguously also increases. Here, we developed a novel barcode system to identify 62 rice genotypes using agro-morphological descriptors and molecular markers. In all, 62 rice genotypes, for 22 agro-morphological traits were recorded. In addition, 19 molecular markers were used for developing genotype-specific DNA fingerprints. The descriptor notes of 10 essential agro-morphological traits and allele codes of the polymorphic markers were used to generate two-dimensional (2-D) barcodes for the rice genotypes. Using agro-morphological traits, 31 rice genotypes were unambiguously distinguished while, with the polymorphic markers we were able to distinguish all rice genotypes except BPT2295 and Jaya. However, using both agro-morphological descriptors and molecular markers in combination, it was possible to distinguish all the rice genotypes used in the present study. These agro-morphological notes and allele codes from the molecular marker data together were used to develop QR (Quick Response) codes for rapid identification of rice genotypes as they facilitate storage of more data. In the present investigation, we have demonstrated the potentiality of agro-morphological traits and molecular markers in distinguishing rice genotypes. The novel QR code system proposed in the present study can also be extended to other crops not only for varietal identification but also for germplasm management and trade.
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