TAILIEUCHUNG - Determining the levels of genetic variation using SSR markers in three Turkish barley materials known as Tokak

Genetic variations are the raw materials of plant breeding and have been increasingly narrowed due to various reasons. Landraces are good sources of genetic variation, but need to be characterized first. | Research Article Turk J Agric For 34 (2010) 17-23 © TÜBİTAK doi: Determining the levels of genetic variation using SSR markers in three Turkish barley materials known as Tokak Nejdet KANDEMİR*, Ahmet YILDIRIM, Rahime GÜNDÜZ Gaziosmanpaşa University, Faculty of Agriculture, Crop Science Department, 60250 Tokat - TURKEY Received: Abstract: Genetic variations are the raw materials of plant breeding and have been increasingly narrowed due to various reasons. Landraces are good sources of genetic variation, but need to be characterized first. This study was conducted to determine the levels of genetic variation in 3 barley materials originated in Turkey, all known as Tokak. Of the 3 materials used, PI 470281 is a landrace and CIHO 10093 is a pure line. The third is Tokak 157/37, a major cultivar of Turkey considered to be a landrace. In order to detect the levels of polymorphism within and among these materials 30 SSR (microsatellite) markers were used. Some morphological markers were also studied. Ten CIHO 10093 plants did not show any polymorphism with 30 SSR markers. Only 5 SSR markers yielded polymorphism within the 60 lines of cv. Tokak 157/37 studied. There were only 2 different genotypes. The common genotype was observed in 58 lines and the rare one in 2 lines. This finding shows that Tokak 157/37 has lost its variation and is no longer a landrace. Twenty-three of the 30 SSR markers were polymorphic in PI 470281. The 30 SSR markers produced 70 alleles in 52 of the PI 470281 plants. Among the 52 plants studied, 46 different genotypes were detected, indicating a very high level of polymorphism. No polymorphism was observed for the morphological markers. Moreover, variation in plant characteristics was not very high. These facts indicate that farmers who have been using this landrace for a long time might have performed mass selections based on phenotype within the cultivar. A dendrogram was made using 52 PI 470281 lines (a common

• Nông nghiệp
• Genetic variation
• Barley materials
• Microsatellite markers
• Plant breeding
• Polymorphic information content
• Genetic variation in the natural populations
• Analysis of genetic variation
• Clarias batrachus
• Phenotypic coefficients of variation
• Genotypic coefficients of variation
• Genetic advance
• Genetic advace in vegetable pea
• Study on genetic variability
• Genotypic coefficient of variation
• Genetic improvement
• Genetic variability
• Heritability and phenotypic coefficient of variation
• Phenotypic coefficient of variation
• FCV Tobacco (Nicotiana tabacum L )
• Genetic variation in F3 generation
• F3 generation of FCV tobacco
• Leaf area per plant
• BMC Genomics
• DNA methylation
• Epigenetic variation
• Metabolic processes
• Parental lines
• Four tomato hybrids
• Genetic variation of stomatal traits
• Stomatal traits
• Comparison of mutagens
• Characters association
• M2 generation of okra
• Estimation of effective mutagen doses
• Induced genetic variation
• Genetic variation of thirty
• Genotypes of Moringa
• Eight characters studied
• Genome Biology
• Residual Variation Intolerance Score
• Human genes
• Functional genetic variation
• Functionally distinct portions of genes
• Gene action
• Triple test cross analysis
• Genetic components
• Genetic variation for fruit yield
• Additive and dominance components
• Epistasis and estimation
• Soybean varieties
• Simple selection
• Matricaria chamomilla l
• Explores agro morphological
• Genetic variation affected by chemical mutagen
• Genetic improvment
• Polymorphism information content
• Clinical diagnostics
• Precision medicine
• Disease associated genes
• Healthcare inequality
• Genetic ancestry
• Geographic ancestry
• Genetic distance
• Ploidy level
• Somaclonal variation
• Chrysanthemum plants
• Phenotypic variation
• Gene expression
• Phenotypic diversity
• Shaping diversity
• Growth trait
• Pooled DNA sample
• Romanian larch populations
• Regional stands
• Genetic variation and outcrossing rate
• Dipterocarpus Dyeri
• The Tan Phu tropical rain forest
• Species conservation
• Genetic diversity
• Genetically diverse genotypes
• China aster
• Genetic advance as percentage of mean
• China aster varieties
• Genetic advances
• Wheat (Triticum aestivum L )
• Cold arid conditions of Kargil
• Genetic gain
• Cotton improvement project
• Genetic component analysis
• Genetic and phenotypic coefficient of variation
• Correlation studies on nendran
• Nendran (AAB) ecotypes of banana
• BMC Genetics
• Zea mays L
• Genetic resources
• SSR markers
• Taurus cedar
• Geographical variation
• Starch gel electrophoresis
• Cedrus libani A
• Rich
• BMC Biotechnology
• Structural variation
• Genetic engineering
• Transgenic crops