Assessment of Variability and Character Association in Pearl Millet [Pennisetum glaucum (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.]

“…High PCV and high GCV were observed for most of the traits viz., harvest index, single plant yield, biological yield, thousand grain weight, the number of productive tillers and total grains per panicle (Table 2). These results were similar to the earlier reports by Annamalai et al (2020) for single plant yield, thousand grain weight, the number of productive tillers, Anuradha et al (2018) and Kumawat et al (2019) for single plant yield and the number of productive tillers, Choudhary et al (2012) for single plant yield, biological yield, thousand grain weight and the number of productive tillers, Dadarwal et al (2020) and Kumar et al (2020) for grain yield per plot and biological yield, Dapke et al (2014) for grain yield per plot, biological yield and harvest index Dhedhi et al (2016) for biological yield, Ram et al (2014) for single plant yield, biological yield number of productive tillers and grains per square centimetre. High PCV and high GCV results indicated the presence of more variation in the population for given traits for further selection and crop improvement (Anuradha et al, 2018).…”

“…Single plant yield exhibited a positive highly significant genotypic and phenotypic correlation with thousand grain weight, harvest index and leaf length. Similar results were reported in pearl millet byAnnamalai et al (2020) andRasitha et al (2019) for thousand grain weight,Dapke et al (2014) andMungra et al (2015) for harvest index,Singh et al (2014) for thousand grain weight and leaf length. These traits were important as yield determinant traits due to…”

“…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.…”

Analysis of the performance, variability and nature of pearl millet productive traits in the rainfed environment of Andhra Pradesh

“…Similar estimates for 1000 grain weight and grain yield were also reported by Priyanka et al (2019), Annamalai et al (2020) andShankar Lal Yadav et al (2020). The coefficient of variation for productive tillers per plant was found to be high to moderate (11.26, 34.95), whereas the coefficient of variation for panicle diameter (6.36, 15.13) and panicle length was found to be moderate to low (6.12, 10.29).…”

Phenotypic Characterization and Genetic Divergence of some Pearl Millet Genotypes Based on Cluster and Principal Component Analysis

“…and P.C.V. percentage were observed by Anuradha et al (2018) and Annamalai et al (2020). The estimates of genotypic coefficient of variability (G.C.V.…”