Study of Coefficient of Variation, Heritability and Genetic Advance for Different Traits of Rice Genotypes Grown under Aerobic Condition

Abstract

The field experiments with thirty genotypes were conducted during June to October month of kharif, 2018 and kharif, 2019, to assess extent of variability under aerobic condition. The genotypes were sown under dry direct seeded condition using randomized block design (RBD) with three replications. Each genotype was sown in single row of 5 m length with spacing of 20 cm between rows and 15 cm between plants. Data recorded for 22 characters including different morphological and quality traits from 5 randomly selected plants of each replication and mean data used for analysis. ANOVA revealed that the mean sum of squares were highly significant difference for most of the traits. The value of PCV was higher than GCV for all the twenty-two characters. However, maximum GCV and PCV were observed for root dry weight plant-1 (31.44% and 32.17%) followed grain yield plant-1 (29.97% and 31.03%), root volume (28.62% and 29.20%), root fresh weight plant-1 (28.51% and 29.08%), biological yield plant-1 (21.86% 22.50%) and number of grains panicle-1 (20.55% and 21.37%). Rest of the traits showed moderate and low GCV and PCV. High heritability and genetic advance were recorded for the traits viz., leaf length, number of tillers plant-1, number of grains panicle-1, 1000 seed weight, root length, root volume, root fresh weight plant-1, root dry weight plant-1, kernel length-breadth ratio, grain yield plant-1, biological yield plant-1 and harvest index. The information regarding different variability will provide direction to select high yielding genotypes under aerobic condition.

Studies on Genetic Variability, Heritability, Correlation and Path Analysis in Chrysanthemum (Dendranthema grandiflora Tzvelev)

“…Hence, for effective selection, a thorough study on genotypic and phenotypic variability is essential (Kumari et al, 2017). Correlation studies and further partitioning into various components of yield and other characters are rational approaches to understand the nature and magnitude of their relationship (Dey et al, 2021) as the breeders are always interested in the improvement of several economic characters including yield, the knowledge of correlation among the traits is important to have the idea of concurrent changes which would be brought about in other traits while making selection for one trait (Bennurmath et al, 2021). It is a well-known fact that there exists a complex association among different characters in the plant system.…”

Morphology and yield components of single hybrids white and yellow maize in the Yaqui Valley

“…Coefficients of variation between 9.98 and 12.81% were obtained for all the variables evaluated. These coefficients of variation obtained are considered appropriate for this research, being lower than 21%, maximum value recommended for agronomical sciences, according to Dey et al (2021). The variable with the lowest variability was FPH, and hybrid WG1 had the highest value in this variable, with significant differences with respect to the other three single hybrids evaluated.…”

The impact of non-environmental factors on the chemical variation of Radix Scrophulariae

“…IBM SPSS Statistics 26.0 software was used to conduct Duncan multiple comparison [ 32 ], the Euclidean distance calculation based on standardized 18 HPLC characteristic peak areas [ 33 ], Pearson correlation analysis among 6 ingredients [ 34 ]. According to the formula of coefficient of variation: C.V = SD/MN * 100 % ( C.V : coefficient of variation; SD : standard deviation; MN : average value) to calculate the quality variation of Radix Scrophulariae [ 35 ].…”