Formerly International Journal of Basic and Applied Agricultural Research

Genetic variability studies for yield and its related traits in rice (Oryza sativa L.) genotypes

Pantnagar Journal of Research, Volume - 19, Issue - 2 ( May-August, 2021)

Published: 2021-09-01

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Even though there are abundant rice genetic resources, only a fraction is used in breeding programs leading to a narrow genetic base for improved varieties. In order to develop superior cultivars, each crop breeding programme must have genetic variability. In the present investigation, fifty rice genotypes were used to estimate the genetic variability, heritability, and genetic advance for yield and yield-related traits. The experiment was conducted using RBD with two replications. In the current investigation, analysis of variance revealed significant difference among the 50 rice genotypes studied for various quantitative traits. Phenotypic coefficient of variation ranged from 7.66 to 23.01 %. Highest value obtained for number of effective tillers (23.01%) followed by leaf length (19.77%) and lowest value obtained for panicle length (7.66%). Genotypic coefficient of variation ranged from 3.69 to 19.47%. Highest value obtained for number of effective tillers (19.47%) followed by leaf length (18.27%) and plant height (13.23%). PCV is higher than GCV but there was a small difference between value of GCV and PCV which indicated low impact of environment. Heritability in broad sense ranged from 23.2 to 97.8 %. High heritability obtained for plant height (97.8%) followed by days to maturity (95.7%) and days to 50% flowering (94%) and lowest value was obtained for panicle length (23.2%) followed by yield per plant (30.3%). Genetic advance percentage of mean ranged from 3.66 to 34.80 %. Genetic advance percentage of mean was highest for leaf length (34.802 %) followed by number of effective tillers (33.94%) and plant height (26.96 %). In present investigation, high heritability coupled with high genetic advance obtained for plant height, days to 50% flowering, leaf length and number of effective tillers. This revealed presence of additive genetic variance and hence selection for above mention traits may be effective. Furthermore, genetic materials used in the current investigation exhibited adequate genetic variability which can be utilized in crop improvement programs.

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