2020International Journal of Chemical StudiesOpen access

Estimation of genetic variability in wheat (Triticumaestivum L.)

Anand Kumar, Lokendra Singh, Som Veer Singh, Sarvendra Kumar, CB Singh Gangwar, Anjani Kumar Singh

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Abstract

The present investigation was carried out with the objective to estimate genetic variability involving 65 genotypes (fifteen parents and fifty F1s crosses) grown in a randomized block design with three replications at crop research farm Nawabganj. The analysis of variance revealed the significant differences among the treatments forseven characters out of eight characters indicating considerable variability among the genotypes fordays to flowering (75%), plant height (cm), number of productive tillers/plant, flag leaf area (cm)2, spike length (cm), number of spikelets/spike and grain yield/plant (gm). Variability also reflected based on mean, range, phenotypic coefficient of variation and genotypic coefficient of variation therefore selection of the parents under study based on morphological differences for different characters was validated through ANOVA and other parameters. The range varied from days to maturity (112.00-120.33) for parents anddays to maturity (112.00 to 119.66) for F1and maximum phenotypic coefficient of variation (PCV) of traits days to maturity (112.00 to 119.66) for parents were generally higher than genotypic coefficients of variance (GCV)36.72 (Grain yield/plant) indicating the presence of enough genetic variability in the material under study.

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The present investigation was carried out with the objective to estimate genetic variability involving 65 genotypes (fifteen parents and fifty F1s crosses) grown in a randomized block design with three replications at crop research farm Nawabganj. The analysis of variance revealed the significant differences among the treatments forseven characters out of eight characters indicating considerable variability among the genotypes fordays to flowering (75%), plant height (cm), number of productive tillers/plant, flag leaf area (cm)2, spike length (cm), number of spikelets/spike and grain yield/plant (gm). Variability also reflected based on mean, range, phenotypic coefficient of variation and genotypic coefficient of variation therefore selection of the parents under study based on morphological differences for different characters was validated through ANOVA and other parameters. The range varied from days to maturity (112.00-120.33) for parents anddays to maturity (112.00 to 119.66) for F1and maximum phenotypic coefficient of variation (PCV) of traits days to maturity (112.00 to 119.66) for parents were generally higher than genotypic coefficients of variance (GCV)36.72 (Grain yield/plant) indicating the presence of enough genetic variability in the material under study.

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Available abstract

The present investigation was carried out with the objective to estimate genetic variability involving 65 genotypes (fifteen parents and fifty F1s crosses) grown in a randomized block design with three replications at crop research farm Nawabganj. The analysis of variance revealed the significant differences among the treatments forseven characters out of eight characters indicating considerable variability among the genotypes fordays to flowering (75%), plant height (cm), number of productive tillers/plant, flag leaf area (cm)2, spike length (cm), number of spikelets/spike and grain yield/plant (gm). Variability also reflected based on mean, range, phenotypic coefficient of variation and genotypic coefficient of variation therefore selection of the parents under study based on morphological differences for different characters was validated through ANOVA and other parameters. The range varied from days to maturity (112.00-120.33) for parents anddays to maturity (112.00 to 119.66) for F1and maximum phenotypic coefficient of variation (PCV) of traits days to maturity (112.00 to 119.66) for parents were generally higher than genotypic coefficients of variance (GCV)36.72 (Grain yield/plant) indicating the presence of enough genetic variability in the material under study.

Key concepts: Coefficient of variation, Randomized block design, Genetic variability, Biology, Grain yield, Genetic variation, Forensic science, Genotype

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