tailieunhanh - Assessment of genetic variability among the landraces of little millets Panicum sumatrense from different district of Madhya Pradesh

Present study was conducted on genetic diversity using ISSR markers for a total of 40 landraces of little millet (Panicum sumatrense) collected from five different districts of Madhya Pradesh. Ten ISSR markers amplified total 42 loci while 32 loci showed polymorphism. Maximum number (06) of alleles were scored by the primers UBC-807 whereas, minimum number of alleles (03) were scored by the primers UBC-816. Percentage of the number of polymorphic loci within population among the three regions, the highest frequency of polymorphism was found in the Dindori region () followed by the Betul region () and the lowest were in the Chhindwara region (). Cluster analysis was estimated and a dendrogram was generated using Unweighted Pair Group Analysis (UPGMA). The highest genetic variability was observed between Amwa-38, Shivri-31 and Khaparipani-24 collected from Rewa and Dindori both of them grouped distantly. The highest PIC value () was observed by using primer UBC-853 having 06 alleles among the 40 landraces of little millets. The results indicated that ISSR marker system can be effectively used in determination of genetic relationship necessary for their conservation and breeding programs among the landraces of little millets grown in different districts of Madhya Pradesh, India. | Assessment of genetic variability among the landraces of little millets Panicum sumatrense from different district of Madhya Pradesh

• Nông nghiệp
• Genetic variability
• Genetic conservation
• Phylogenetic relationship
• Little millets Panicum sumatrense
• Genetic variability among
• Genetic advance
• Genetic variability analysis in Ashwagandha
• Genetic variability analysis
• Characters indicating sufficient genetic variability
• Genetic variability in chickpea
• Assessment of genetic variability
• Cicer arietinum L
• Genetic advance etc
• Greater yam
• Genetic variability in 30 genotypes
• Study of genetic variability
• Heritability and genetic advance
• Sesame (Sesamum indicum L
• Genetic advance and wheat
• Genetic advance for grain yield
• Contributing traits in wheat
• Chrysanthemum (Dendranthema grandiflora Tzvelve)
• Genetic advance in chrysanthemum
• Genetic advance in cowpea
• Improvement programme
• Studies on genetic variability
• Genetic advance in pumpkin
• Studied traits between genotypes
• Fenugreek (Trigonella foenum graecum L )
• Genetic advance in fenugreek
• Germplasm genetic variability
• Phenotypic coefficient variability
• Genotypic coefficient of variability
• Genetic advance for yield
• PCV and variability
• Drought tolerant rice
• Rice (Oryza sativa L
• ) landraces
• Mutant breeding lines
• Genetic gain
• Advanced mutant breeding lines
• Sesame (Sesamum indicum L )
• Akra [Abelmoschus esculentus (L ) Moench]
• Genetic advance in genotypes
• Majority of the growth
• Rice (Oryza sativa L )
• Normal soil conditions
• Rice genotypes for genetic variability
• Rice genotypes
• Yield components in rice genotypes
• Genetic variability in rice genotypes
• Genetic diversity
• Evaluation of genetic variability
• Genetic variability in tomato
• Tomato (Solanum lycopersicum L
• Mill)
• Genotypes using microsatellite markers
• Microsatellite markers
• Genotypes of blackgram
• Blackgram [Vigna mungo (L
• ) Hepper]
• Genetic advance and kharif
• Amaranth (Amaranthus L ) species
• Growth parameters in amaranth
• Genetic variability for yield
• Yield attributing traits
• Physiological and quality traits
• Black gram [Vigna mungo (L
• Genetic variability parameter
• Genotype followed
• Genetic variability for quantitative
• Qualitative characters
• Local germplasm
• Genetic variability studies
• Pooled ANOVA
• Rapeseed (Brassica Rapa L
• Tomato (Solanum lycopersicum L )
• Polyhouse condition
• Amaranthus (Amaranthus spp )
• Chhattisgarh plain condition
• Studies on collection
• Evaluation of genetic variability available