Showing 3 results for Jadhav
Shiva Shankar, Devadoss Kumar, Jaiswal Deepa, Karuthapandi Madasamy, Shrikant Jadhav, Kalyani B. Kunte,
Volume 9, Issue 3 (9-2023)
Abstract
The present investigation was carried out to study the fauna of aquatic beetles of Koundinya wildlife sanctuary (India). A total of forty two species belonging to four families was recorded. The highest number of species was found in the family Dytiscidae followed by Hydrophilidae, Gyrinidae and Noteridae. All the species are recorded for the first time from the wildlife sanctuary and 9 species are new from the state of Andhra Pradesh.
Jaiswal Deepa, Shiva Shankar, Devadoss Kumar, Karuthapandi Madasamy, Shrikant Jadhav, Rehanuma Sulthana,
Volume 9, Issue 3 (9-2023)
Abstract
The present study is on the morphology and molecular data of the genus Dineutus MacLeay, were collected from the Eastern Ghats mountains in Odisha, Andhra Pradesh, Telangana, Tamil Nadu states located in the eastern Ghats of India. The morphological identification was based on elytral spines, setation on paramere and structure of the median lobe. Molecular characterization was based on the mitochondrial cytochrome oxidase subunit I (COI) and 16s ribosomal RNA gene. Species identified as being D. indicus, D. spinosus, and D. unidentatus. Phylogenetic trees were constructed for both genes, and the COI fragment shows raw genetic distance between 10–12% among the three species of D. indicus, D. spinosus and D. unidentatus, whereas 16s gene shows a divergence of 4–5%. The present study contributes five novel mitochondrial COI and five ribosomal RNA sequences for D. spinosus and D. unidentatus for the first time from India.
Volume 19, Issue 5 (9-2017)
Abstract
The overall objective of the present paper is demonstrating the utility of price forecasting of farm prices and validating the same for major crops namely, Paddy, Ragi and Maize in Karnataka state for the year 2016 using the time series data from 2002 to 2016. The results were obtained from the application of univariate ARIMA techniques to produce price forecasts for cereal and precision of the forecasts were evaluated using the standard criteria of MSE, MAPE and Theils U coefficient criteria. The results of ARIMA price forecasts amply demonstrated the power of the ARIMA model as a tool for price forecasting as revealed by pragmatic models of forecasted prices for 2020. The values of MSE, MAPE and Theils U were relatively lower, indicating validity of the forecasted prices of the three crops.
