TAILIEUCHUNG - Selection parameters for improving the seed cotton yield and fibre quality traits in American cotton (Gossypium hirsutum L.)

Hence this present study was planned to assess the genetic variability, correlation and path analysis for various yield and fibre quality characters in a set of genotypes. | 2020 9 10 1333-1342 International Journal of Current Microbiology and Applied Sciences ISSN 2319-7706 Volume 9 Number 10 2020 Journal homepage http Original Research Article https Selection Parameters for Improving the Seed Cotton Yield and Fibre Quality Traits in American Cotton Gossypium hirsutum L. M. Gnanasekaran and K. Thiyagu Tamil Nadu Agricultural University Cotton Research Station Srivilliputtur-626 135 India Corresponding author ABSTRACT Information on the effect of different yield components on improvement of yield will be crucial in any selection programme. Thirty four genotypes of American cotton Gossypium hirsutum L. were utilized to study the genetic variability and correlation of yield its components and fibre properties and data recorded were analyzed to understand the relative contribution of different yield components in enhancing the yield and fibre quality. Keywords Study revealed high heritability observed for days to first flowering days to fifty percent flowering number of monopodia per plant number of bolls per plant ginning percentage Correlation G. upper half mean length bundle strength fibre fineness uniformity index and seed cotton hirsutum yield. Number of monopodia per plant number of bolls per plant and seed cotton yield Variability Yield shows high heritability coupled with high genetic advance over mean indicating the components preponderance of additive gene action in the inheritance of these traits. Traits such as days Article Info to first flowering days to fifty percent flowering ginning percentage ginning percentage upper half mean length bundle strength and uniformity index in which high heritability Accepted accompanied by low genetic advance was recorded indicates the effect of non-additive 12 September 2020 gene action. Significant positive association of plant height number of bolls per plant boll Available Online weight and seed index was .

• Nông nghiệp
• Yield components
• Selection parameters for improving
• Seed cotton yield
• Fibre quality traits
• American cotton
• Linseed (Linum usitatissimum L )
• Harvest index
• Yield and yield components
• Germplasm Estimate heterosis
• Genotype and phenotype
• Genetic parameters for yield
• Yield components in F1
• F1 hybrids
• Parents of bell pepper
• Association analysis
• Path analysis
• Path analysis of yield
• Yield components in the RIL population
• Seed yield
• Heterosis study for yield
• Yield components in pea
• Poor hybrids
• Over locations and yield
• Estimation of heterosis for yield
• Yield components in Brinjal
• Quantitative characters in brinjal
• Yield attributing traits
• Yield components in maize
• Association studies for yield
• Gene action
• Generation mean analysis
• Yield components in cowpea
• Generation mean analysis for yield
• Scented rice
• Physiological parameters
• Yield components of scented rice
• Various proportions of vermicompost
• Abelmoschus esculentus
• Combining ability analysis for yield
• Yield components in okra
• Randomized block design
• Solanum lycopersicum L
• Heterosis studies for yield
• Components in tomato
• Tomato (Solanum lycopersicum L )
• Optimizing yield
• Relationships between yield
• Path analyses
• Spring rapeseed cultivars
• Rice (Oryza sativa L )
• Grain yield
• Character association
• Path coefficient analysis
• Yield components of parents
• Hybrids in rice
• Tillers m 2
• Spike length
• Thousand grain weight
• Biological yield
• Phosphorous on phenology
• Yield and yield components of wheat
• Secondary nutrients
• Yield attributes
• Groundnut (Arachis hypogaea L )
• Influence of secondary
• Micronutrients on yield
• Yield components in groundnut
• Combining ability
• Fruit yield
• Okra [Abelmoschus esculentus (L ) Moench]
• Combining ability for yield
• Yield components through diallel analysis
• Genetic divergence
• Genetic divergence studies
• Yield components in blackgram
• Vigna mungo L
• Vegetative attributes
• Plant growth regulators
• Yield components of mungbean
• Specific developmental stage
• Correlation coefficient analysis
• Correlation coefficient analysis for yield
• Components in rice
• Rice genotypes
• Path analysis and aerobic rice
• Aerobic rice
• Components in aerobic rice
• Yield components in aerobic rice
• Common vetch
• Vicia sativa L
• Yield components of common vetch
• Straw yield
• Chickpea (Cicer arietinum L )
• Yield components in chickpea
• Path coefficient analysis for grain yield
• Sodic soil
• Path coefficient
• Yield components in rice
• Path analysis for yield
• Stability analysis
• Yield and its components
• RAPD PCR analysis
• Components traits in soybean
• Stability analysis for yield
• Black gram
• Correlation and path analysis
• Components in black gram
• Correlation studies for yield
• Xanthium strumarium
• Corn yield
• Zea mays
• Strumarium plant m–2