STATISTICAL ANALYSIS OF PHEROMONE TRAP CATCHES OF Spodoptera litura (FAB.) IN GROUNDNUT ECOSYSTEM
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Date
2004
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University of Agricultural Sciences, Dharwad
Abstract
Weather of particular ecosystem plays a vital role in trapping of moths. The study was conducted to reveal the relationship of different weather parameters namely average weekly maximum temperature, minimum temperature, relative humidity, total rainfall and rainy days in a week with the moth catches of Spodoptera litura (F.) for the ten years data from 1989 to 1998. The data for S. litura moth catches and weather data were collected from Main research station, University of Agricultural sciences, Dhai^wad. Correlation analysis indicated significant positive correlation between weekly maximum temperature and moth catches of Spodoptera litura (F.) m all the ten years and also decade as a whole. Both average weekly minimum temperature and relative humidity are negatively correlated with moth catches. In the path analysis study direct effect from maximum temperature was almost equal to correlation coefficient between moth catches and maximum temperature. In case of other weather parameters direct effect was low compared to the correlation coefficient between moth catches of and respective weather parameters. Indirect effect through maximum temperature was major contributing factor. Different prediction models namely linear, quadratic, cubic, inverse, exponential, logarithmic, power and compound models have been tried to predict moth catches using individual weather parameters. Cubic model was found better followed by quadratic* model based on individual weather parameters in predicting moth catches in most of the years and decade as a whole. Step down multiple regression analysis has been carried out by taking all the weather parameters for predicting moth catches for individual years and decade as a whole, maximum temperature appears as a main contributing factor.
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