STATISTICAL ANALYSIS OF THRIPS POPULATION DYNAMICS STUDY IN ONION BASED ON WEATHER PARAMETERS

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Date
2015-06
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University of Agricultural Sciences Dharwad
Abstract
Onion (Allium cepa L.) is mainly grown for its bulb, which is used in every home, almost daily. Onion is popularly referred as ‘Queen of the kitchen’. Onion thrips, Thrips tabaci, is the major insect pest of onion and its control is critical in production and profitability of this crop. The experimental data on onion varieties (Arka Kalyan, Afrifound Light Red, N-2-4-1 and Bhima Shakti) was collected based on the experiment conducted by All India Network Project on Onion and Garlic and meteorological data were collected from meteorological observatory of Main Agricultural Research Station, Dharwad for the years 2010, 2011, 2012 and 2013. Correlation study revealed that all the weather parameters (viz., maximum temperature, minimum temperature, relative humidity and rainfall) are positively or negatively correlated with the thrips population buildup for all the three years. This correlation between thrips population and the weather parameters was mainly dependent on climatic conditions prevailing in that particular year. Multiple linear regression study revealed that for all the three years irrespective of variety even though R2 was high and found to be significant or non-significant, but none of the coefficients were contributing significantly towards dependent variable, it may be due to interaction effect among independent variables and dependent variable. Stepwise regression analysis revealed that the minimum temperature and relative humidity were the main constraints for the thrips population build-up, whereas, maximum temperature and rainfall effects were also important in the thrips population build-up. Simple linear regression study showed that reduction in Onion bulb yield will mainly depends on the thrips population, however, the weather parameters like rainfall was the main factor in getting good bulb yields. If heavy rains are received at any stage of the crop that reduces the thrips population significantly. Yield loss estimation is also carried out.
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