TAILIEUCHUNG - Genetic diversity analysis of rice cultivars differing in dormancy based on SSR markers

Seed dormancy is an important trait affecting grain yield and quality in cereal crops. It is controlled by its own complicated genetic and environmental factors. The polymorphism pattern study of 24 rice genotypes for RM primers used in the present molecular study were clearly classified the rice genotypes into dormant (Cluster I, Cluster IIA) and nondormant (Cluster II B, Cluster III). In the present study, a total of 40 alleles were detected across the 24 rice genotypes by 11 polymorphic SSR markers. The number of alleles generated per locus by each marker ranged from 2 to 6. Maximum number of alleles (6) produced by RM 520. The PIC values among the SSR loci tested are ranged from (RM 480) to (RM 520) with an average of per locus. Among the polymorphic SSR markers detected, RM 520 showed maximum numbers of alleles (6) as well as the highest PIC value (). The markers showed average PIC value of that almost showed 49 % polymorphism, which confirms that SSR markers used in this study were highly informative for genetic studies and are extremely useful in distinguishing the polymorphic rate of a marker at a specific locus. | Genetic diversity analysis of rice cultivars differing in dormancy based on SSR markers

• Nông nghiệp
• SSR markers
• Genetic diversity
• Rice cultivars differing
• Dormancy based on SSR markers
• Genetic diversity analysis
• Late leaf spot
• Groundnut (Arachis hypogaea L )
• Validation of SSR markers
• SSR markers for foliar disease resistance
• Molecular markers
• Seed purity
• Utilization of SSR markers
• SSR markers for seed purity testing
• Popular maize hybrids
• Chickpea (Cicer arietinum L
• Indian origin using SSR markers
• 66 cultivars of chickpea
• Molecular diversity
• Gossypium hirsutum L
• Using SSR markers
• Molecular diversity studies
• SSR markers to late leaf spot
• Rust resistance in groundnut
• Rice leaffolder
• Cnapholocrocis medinalis
• Cnapholocrocis medinalis using SSR markers
• Rice genotypes showing resistance
• Molecular characterization
• G hirsutum using SSR markers
• Molecular characterization of germplasm accessions
• Germplasm accessions
• Population structure
• Germplasm using SSR markers
• Elaeis guineensis
• Polymorphic SSR markers
• Genetic diversity studies
• Oil palm
• Utilization of polymorphic SSR markers
• DNA Fingerprinting
• Andhra Pradesh
• Telangana with SSR markers
• Brassica juncea
• Polymorphism and genetic diversity
• Help of SSR markers
• F3 population
• Stripe rust and wheat
• Stripe rust resistance genes
• SSR markers based molecular assessment
• Mungbean [Vigna radiata (L ) Wilczek]
• Screening and identification
• Identification of ssr markers
• Genetic diversity for mungbean
• Pigeonpea diversity
• Microsatellite markers
• Microsatellite (SSR) markers
• Genetic diversity assessment
• Pigeonpea cultivars
• Cotton (Gossypium hirsutum L )
• SSR makers
• Molecular characterization of heterotic groups
• Cotton through SSR markers
• Indian mustard
• Cluster analysis
• Diversity analysis
• SSR marker
• SSR molecular markers
• Genetic characterisation
• Simple sequence repeats
• Similarity and variability
• Journal of Science and Technology
• Genetic diversity in the natural populations
• Pinus dalatensis ferré
• Assessed by SSR markers
• The genetic resources of P
• dalatensis species
• Vietnam Journal of Science and Technology
• Genetic diversity among natural populations
• Viet nam using SSR markers
• Three natural populations
• Population genetic diversity
• Charcoal rot
• Soybean genotypes in response
• Charcoal rot disease
• Dendrogram and salinity tolerance
• Mustard [Brassica juncea (L
• )]
• Triticum aestivum
• Bread wheat
• Resolving power
• SSR markers showed
• PIC values ranged
• Soybean varieties