The major lockdown due to the COVID-19 pandemic has affected the socio-economic development of the world. On the other hand, there are also reports of reduced pollution levels. In this study, an indicative analysis is adopted to understand the effect of lockdown on the changes in the water quality parameters for Lake Hussain Sagar using two remote sensing techniques: (i) spectral reflectance (SR) and (ii) chromaticity analysis (Forel-Ule color Index (FUI) and Excitation Purity). The empirical relationships from earlier studies imply that (i) increase in SR values (band B2) indicates a reduction in Chlorophyll-a (Chl-a) and Colored Dissolved Organic Matter (CDOM) concentrations, and (ii) increase in FUI indicates an increase in Total Suspended Solids (TSS). The Landsat 8 OLI satellite images are adopted for comparison between (i) January to May of year 2020: the effect of lockdown on water quality, and (ii) March and April for years 2015 to 2020: historical variations in water quality. The results show notable changes in SR values and FUI due to lockdown compared to before lockdown and after unlock suggesting a significant reduction in lake water pollution. In addition, the historical variations within April suggest that the pollution levels are least in the year 2020.

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Summary RAPD-PCR technique has been employed to study the genetic similarities and diversity in 2 species of butterflies namely Pieris brassica and P. indica (Family: Pieridae) using 2 decamer primers i.e. P12 and P17. Though both the primers yielded a series of bands, but P12 failed to give any amplification in P. indica individuals. P17 also yielded low number of bands in this species. Both primers produced 2 types of patterns. Type I bands were shared by both the sexes, while type II were unique to either male or female individuals. The data was relevant to facilitate the calculation of the band sharing coefficient (D).