TAILIEUCHUNG - Genetic parameters study for yield and yield contributing characters in rice (Oryza sativa L.) genotypes with high grain zinc content

The present investigation for genetic variability was made based on the data recorded for sixteen yield and yield contributing quantitative and qualitative characters in twenty one rice genotypes using statistical are significant differences among the genotypes for all the characters under study showed by analysis of variance. Among the characters, higher estimates of phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) were observed for the traits number of spikelet per panicle, no of filled grains per panicle, grain weight per panicle(g) and grain yield/ha (kg). | Genetic parameters study for yield and yield contributing characters in rice (Oryza sativa L.) genotypes with high grain zinc content (2020) 9(3): 357-364 International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 3 (2020) Journal homepage: Original Research Article Genetic Parameters Study for Yield and Yield Contributing Characters in Rice (Oryza sativa L.) Genotypes with High Grain Zinc Content Partha Pratim Behera1*, S. K. Singh1, D. K. Singh1 and Khonang Longkho2 1 Department of Genetics and Plant Breeding, Banaras Hindu University, Varanasi- 221 005, India 2 Department of Genetics and Plant Breeding, Visva Bharat, West Bengal, India *Corresponding author ABSTRACT The present investigation for genetic variability was made based on the data recorded for sixteen yield and yield contributing quantitative and qualitative characters in twenty one rice genotypes using statistical are significant differences among the genotypes for all the characters under study showed by analysis of variance. Among the characters, higher estimates of phenotypic coefficient of variance (PCV) Keywords and genotypic coefficient of variance (GCV) were observed for the traits Genetic variability, number of spikelet per panicle, no of filled grains per panicle, grain weight GCV, PCV, per panicle(g) and grain yield/ha (kg). This indicates the existence of wide Heritability, Genetic advance, genetic base among the genotypes taken for study and higher possibility of Analysis of genetic improvement through selection for these traits. Heritability was variance higher for all the characters except tillers per plant, spikelet fertility per Article Info cent and panicle length (cm). Thus, selection based on phenotypic values would be effective for these traits. High heritability

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• Genetic variability
• Genetic advance
• Analysis of variance
• Rice (Oryza sativa L
• High grain zinc content
• Yield and yield contributing characters
• Yield contributing characters in rice
• 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
• ) 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
• Genetic conservation
• Phylogenetic relationship
• Little millets Panicum sumatrense
• Genetic variability among
• 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