Studies on genetic parameters, correlation and path analysis for yield attributes in the maintainer and restorer lines of pearl millet [Pennisetum glacum.(L.) R. Br]

Strategy of multiple selection indices for discrimination of potential genotypes and associated traits for yield improvement in pearl millet [Pennisetum glaucum (L.) R.Br.]

“…Estimates of high heritability and high genetic advance as percentage of mean were observed for harvest index, single plant yield, biological yield, thousand grain weight, panicle length, the number of productive tillers and panicle diameter, which indicated additive genetic variance for these characters. Similar results were reported earlier by Rasitha et al (2019) and Singh et al (2018).…”

“…High heritability coupled with high genetic advance as a percentage of mean were recorded for almost all the characters except plant height, which showed moderate heritability with high genetic advance indicated the additive gene action on the expression of these characters. Similar results were observed by Anuradha et al (2018), Rasitha et al (2019) and Sumathi and Revathi (2017).…”

“…The phenotypic correlation coefficient is more than the genotypic correlation coefficient for the characters under study (Dhedhi et al, 2016 andRasitha et al, 2019), which showed the existence of considerable inherent association among the traits (Naveen et al, 2016) their positive and highly significant correlations with grain yield (Annamalai et al, 2020). This signifies that selection for these traits will lead to simultaneous improvement in grain yield.…”

“…The analysis of variance indicated that a highly significant difference exists among the genotypes for all the studied characters indicated that sufficient variability is present in the experimental material for selection and scope for increasing yield and yield attributing traits for crop improvement (Ram et al, 2014). The mean single plant yield was found to be 48.31 g. The difference between the PCV and GCV was narrow for most of the traits indicated the least influence of environment on traits and improvement by making selection pressure on these characters at early generation (Dapke et al, 2014;Manga et al, 2013;Rasitha et al, 2019). But single plant yield, biological yield and plant height showed more differences between PCV and GCV revealing the more influence of the environment on these characters indicating that selection at the later generations is promising for these traits.…”

Estimate of genetic consistency, diversity and traits association in late-maturing soybean breeding lines

“…Similar to this, Patil (2011), also reported a positive association between seed yield of sunflower and plant height while Selvi et al (2016) reported a negative association between grain yield as primary trait and the number of leaves and plant height in pea. Traits with direct association with seed yield provide basis for selection and improvement (Selvi et al, 2016;Rasitha et al, 2019). Path analysis provided a robust cause-effect relationship than phenotypic correlation (Kumar and Arumugam, 2013).…”