ArticleInternational journal of plant genomics2015
Identification and DUS Testing of Rice Varieties through Microsatellite Markers.
Article in International journal of plant genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A Step-by-step Protocol for Crossing and Marker-Assisted Breeding of Asian and African Rice Varieties.Bio-protocol · 2024Article
- Deciphering genetic diversity phylogeny and assembly ofHeliyon · 2024Article
- Genome-wide analysis-based single nucleotide polymorphism marker sets to identify diverse genotypes in cabbage cultivars (Brassica oleracea var. capitata).Scientific reports · 2022Article
- Selection and Validation of 48 KASP Markers for Variety Identification and Breeding Guidance in Conventional and Hybrid Rice (Oryza sativa L.).Rice (New York, N.Y.) · 2022Article
- Whole Genome Sequencing and Morphological Trait-Based Evaluation of UPOV Option 2 for DUS Testing in Rice.Frontiers in genetics · 2022Article
- Article
- Review
- Overcoming barriers to the registration of new plant varieties under the DUS system.Communications biology · 2021Article
- Article
- Insights into deployment of DNA markers in plant variety protection and registration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Review
- Agro-morphological description, genetic diversity and population structure of sugarcane varieties from sub-tropical India.3 Biotech · 2018Article
- DNA fingerprinting at farm level maps rice biodiversity across Bangladesh and reveals regional varietal preferences.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification and registration of new rice varieties are very important to be free from environmental effects and using molecular markers that are more reliable. The objectives of this study were, first, the identification and distinction of 40 rice varieties consisting of local varieties of Iran, improved varieties, and IRRI varieties using PIC, and discriminating power, second, cluster analysis based on Dice similarity coefficient and UPGMA algorithm, and, third, determining the ability of microsatellite markers to separate varieties utilizing the best combination of markers. For this research, 12 microsatellite markers were used. In total, 83 polymorphic alleles (6.91 alleles per locus) were found. In addition, the variation of PIC was calculated from 0.52 to 0.9. The results of cluster analysis showed the complete discrimination of varieties from each other except for IR58025A and IR58025B. Moreover, cluster analysis could detect the most of the improved varieties from local varieties. Based on the best combination of markers analysis, five pair primers together have shown the same results of all markers for detection among all varieties. Considering the results of this research, we can propose that microsatellite markers can be used as a complementary tool for morphological characteristics in DUS tests.
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