Genetic variability, character association and path coefficient analysis in China aster (Callistephus chinensis)

Abstract

Ten cultivars of China aster [Callistephus chinensis (L.) Nees] were evaluated for 12 growth and flowering related traits to study their genetic parameters such as variability, heritability, genetic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), correlation and path coefficient analysis. Significant differences among cultivars for all the growth and flowering related traits were reported through analysis of variance. Wide range in mean performance has been reported in characters such as plant height (41.15-102.25 cm), plant spread (23.79-55.70 cm), days to first flower opening (77.25-106.25 days), flowering duration (25.65-41.30 days) and weight of flowers/plant (84.50-174.42 g). Higher genotypic and phenotypic coefficient of variation was recorded for plant height and plant spread. High heritability (>80%) was recorded for all traits, except number of harvests of loose flower. The genetic advance ranged from 1.36 (individual flower weight) to 57.15 (weight of flowers/plant). High values of genetic gain were recorded for plant height (69.81%), followed by weight of flowers/plant (50.97%). Weight of flowers/plant is significantly and positively correlated both at genotypic and phenotypic level to plant height, plant spread, flower head diameter, number of flowers/plant and individual flower weight. Path coefficient analysis using correlation coefficients revealed that number of flowers/plant contributed highest positive direct effect on weight of flowers/plant, followed by individual flower weight and plant height. Various cultivars performed differently for various quantitative characters. Therefore, cultivars with superior traits can be utilised in hybridization to transfer desirable traits into a single cultivar.

Correlation coefficients for yield and Path analysis in Crossandra genotypes for yield and its attributing traits

“…At the same time, traits like days to fifty percent flowering and days to first harvest recorded the highest negative correlation with many traits. The results align with Teerath et al (2017) [26] , who observed similar results in China aster. Kumar et al (2019) [14] in Marigold stated that flower yield per hectare positively correlated with plant height, plant spread, dry weight of flower, number of flowers per plant, flower diameter and flower yield per plant.…”

Assessment of genetic parameters for diversified traits in periwinkle (Catharanthus roseus L.) through diallel analysis

“…These ndings were indicating the presence of differences among the all traits with respect to genetic advance. Similar ndings were reported by Rai et al (2017) in China aster and Yuvraj and Dhatt (2014) in marigold.…”

“…The phenotypic coe cient of variation (PCV) was greater than genotypic coe cient variation (GCV) among the all characters it was might be due to environmental in uence. These results were conjunction with the ndings of Rai et al (2017) studies in China aster.…”

Assessment of genetic variability, character association and path coefficient analysis in Chrysanthemum (Dendranthema x grandiflora Tzvelev)

“…Higher For flower diameter, PCV estimates was found to be high (20.02%), and a moderate GCV (18.51%), while, days to optimum flowering (17.04% and 15.02%) and flowering duration (18.27% and 16.41%) showed moderate estimates of PCV and GCV, respectively. Similar results of higher estimates of PCV and GCV were reported in chrysanthemum (Telem et al, 2017 andHenny et al, 2021), gaillardia (Arulmani et al, 2015) and China aster (Rai et al, 2017, Bhargav et al, 2019and Nataraj et al, 2021.…”