Genetic variability, divergence, correlation and path analysis in Foeniculum vulgareMill. germplasm

Abstract

The importance of fennel is well realized on account of its high remunerative prices, domestic consumption, medicinal value and means to get earn foreign exchange. Despite the economic importance of fennel, disease resistant, locally acceptable and high yielding crop. The present investigation was therefore, carried out to estimate the magnitude and nature of genetic variability in terms of variation, heritability, genetic advance and genetic diversity for different traits like seed yield per plant and yield contributing traits in a set of 50 germplasm with four checks and extent of environmental influence on these traits, form the basis on which a breeder can predict the extent of dependence on phenotypic selection for improvement of traits. The analysis of variance revealed that significant amount of variability was present in germplasm lines for almost all morphological traits studied as days to germination, 50 per cent flowering, king umbel anthesis, number of number of primary branches, number of secondary branches, plant height (cm), diameter of king umbel (cm), number of umbels per plant, number of umbellates per umbel, number of seeds per umbel, at a test-weight (g) and seed yield (g). A wide range of mean for yield and some of its contributing traits indicates good chance for improvement of yield through direct selection or by transferring desired traits. , were found to be superior. The variability of characters was compared on the basis of co-efficient of variation. The genotypic co-efficient of variation (GCV) and phenotypic co-efficient of variation (PCV) were worked out. Higher GCV (genotypic co-efficient of variation) was recorded for number of umbels per plant (15.7), seed yield (12.4) and number of secondary branches per plant (12.3), it expresses the true genetic potential which indicated the presence of high amount of genetic variability for these characters thus, selection may be more effective for these characters because the response to selection is directly proportional to the component of variability, while, number of seeds per umbellate (11.9), king umbel diameter (10.8) and umbellate per umbel showed moderate to high genotypic co-efficient of variation. Whereas primary branches (9.6), test weight (8.1) showed low magnitude of genotypic co-efficient of variation. Higher PCV was recorded for number of umbels per plant (16.7), king umbel diameter (14.3) and number of secondary branches per plant (14.0), while, seed yield (g) (12.5), number of seeds per umbellate (12.1) and number of umbellates per umbel (11.1) showed moderate to high phenotypic co-efficient of variation. Whereas number of primary branches (10.6), test weight (g) (8.9) showed low magnitude of phenotypic co-efficient of variation.

Correlation and Path Analysis Studies in Mungbean [Vigna radiata (L.) Wilczek] under Arid Environment of Western Rajasthan

“…These characteristics may be emphasized for the mungbean breeding programme. Significantly positive correlation in seed yield per plant with number of seeds per pod and number of pods per plant have earlier been reported by Bisht et al (2014) and Bhutia et al (2016); Choudhary et al (2016) for biological yield per plant. Significantly positive correlation in seed yield per plant with harvest index was earlier reported by Gadakh et al (2013); Katiyar et al (2015); Jadhav et al (2019) and Gaur et al (2021).…”

“…Direct positive effect on seed yield through biological yield and harvest index was earlier reported by Gadakh et al (2013) and Choudhary et al (2016); for number of pods per plant, number of seeds per pod, pod length, plant height and 100seed weight was earlier reported by Bhutia et al (2016), Choudhary et al (2016) and Dhunde et al (2021) in mungbean.…”

“…Path coefficient analysis provides a thorough understanding of the contribution of various characters by partitioning the correlation coefficient into components of direct and indirect effects (W right, 1921), which helps the breeder in determining the yield components. To accumulate the optimum contribution of yield-contributing characters, it is essential to know the association of various characters along with path coefficients (Bhutia et al, 2016). Path coefficient analysis is an effective method to determine the direct and indirect causes of association and also permits to examine the specific forces acting to produce a given correlation.…”

Relationship Between Essential Oil Content, Fruit Yield and Yield Component in Foeniculum vulgare Mill.

“…Similarly, Singh and Mittal (2003) showed that there is a positive and important relationship between seed yield and plant height, umbels number, TWF in sweet fennel. Conversely, Patidar et al (2017) found that plant height was importantly and negatively related with only the number of umbellate per umbel (-0.29*). In this study, it was determined that there is a significant but negative correlation at P <0.05 level between plant height and branch number (r = -0.570*).…”