tailieunhanh - Genetic variability and correlation analysis for agronomic and fibre quality traits in intraspecific cotton (G. hirsutum × G. hirsutum) recombinant inbred lines (RILs)

Cotton, Recombinant inbred lines (RIL), phenotypic (PCV) and There is a limited genetic variability available in genetic resources of upland cotton (Gossypium hirsutum L.), which restricted the breeding activity. The objective of present study was evaluating the genetic variability in RIL population derived through intraspecific hybridization between RHAP 12 and RHAP 15 genotypes. The 222 RIL were evaluated during kharif 2018 at University of Agricultural Sciences Dharwad. The RILs were evaluated for agronomic and fibre quality traits such as plant height (cm), number of monopodial branches, number of sympodia branches, boll per plant, seed cotton yield per plant (g), seed Index (g), boll weight (g), lint index(g), ginning out turn (%), fiber strength (g/text), fiber length (mm), micronaire value (µg/inch), maturity coefficient (%), fiber elongation (%) and fiber uniformity ratio (%). The RIL were exhibited the large variation for seed cotton yield per plant . PCV of per cent and GCV of per cent. Similarly number of bolls per plant also exhibited the high genetic variation with PCV and GCV of and per cent respectively. Even though after utilizing diverse parents in hybridization program observed the limited variability with respect to fibre quality traits. The high heritability and genetic advance over the mean registered in seed cotton yield per plant indicating that additive gene action. The desirable association with yield was found between number of bolls per plant, number of sympodia per plant, boll weight and maturity ratio. It is concluded that RIL population had high potential for enhancing the yield and fibre quality traits. | Genetic variability and correlation analysis for agronomic and fibre quality traits in intraspecific cotton (G. hirsutum × G. hirsutum) recombinant inbred lines (RILs)

• Sinh học
• Recombinant inbred lines
• Phenotypic and genotypic coefficient
• Genotypic coefficient of variation
• Fibre quality traits
• Genetic variability
• Mungbean [Vigna radiata (L ) Wilczek]
• Micronutrients rich recombinant inbred lines
• Genetic advance
• Sambamahsuri derivatives of rice
• Oryza sativa L
• Rust resistance
• Inheritance of rust resistance
• Yield performance
• Irrigated condition
• High yielding rust resistant recombinant inbred
• Recombinant inbred lines in lentil
• Chlorophyll content
• Heat stress
• Normalized difference vegetative index
• Bread wheat
• Dolichos bean
• Multiple traits
• Quantitative traits
• Trait specific RILs
• Maturity groups
• Does relative performance of determinate
• Indeterminate dolichos bean
• Recombinant Inbred lines depend
• Maturity duration
• RIL population
• Yield traits
• QTL identification
• Recombinant inbred lines rice
• Yield improving quantitative trait loci alleles
• BMC Genetics
• High resolution mapping
• Inbred lines
• F2 mapping design
• Polygenic variation
• Shoot fly
• Atherigona soccata
• Trichome density
• Sorghum bicolor L Moench
• Yield and yield related traits
• Protein content
• Bread wheat (Triticum aestivum L Em Thell)
• Late sown environments
• Variability for protein content
• Plant type
• Seed yield components
• SNP markers
• Correlations studies
• Consistent QTL identification
• BMC Plant Biology
• Grain yield
• Immortalized F2 population
• Quantitative trait locus
• Salinity treatment
• Quantitative trait loci
• Genomic region
• Candidate genes
• Water use efficiency
• Soil plant analysis development
• Chlorophyll meter reading
• Specific leaf area
• Path analysis
• BMC Genomics
• Colorectal cancer
• Collaborative cross
• Familial adenomatous polyposis
• Genetic modifier
• QTL mapping
• Virginia type peanut
• Pod constriction
• SNP Array
• Genetic mapping
• Physical mapping
• Wild rice
• Introgression lines
• Transcription factor
• Cultivated rice
• Copy number variation
• Recombinant congenic strains
• Marek’s disease
• Next generation sequencing
• Genotype by environment interaction
• Phosphorus use efficiency
• Single nucleotide polymorphism
• Fruit quality
• Specialized metabolites
• Correlation analysis
• Phytophthora root rot
• Resistance locus
• Fine mapping
• Soybean production worldwide