A STATISTICAL MODELLING APPROACH TO STUDY THE INFLUENCE OF WEATHER PARAMETERS ON THE LEAFMINER, Liriomyza trifolii (Burgess) IN SOUTH INDIA
The objective of this study was to determine the role of weather parameters based on their degree of importance in the population ﬂuctuation of serpentine leafmincr, Liriomyza trifolii by developing a statistical model. As an illustration, efforts were made in this article to develop a simple regression model to study the seasonality of L. trifolii on tomato using the monthly data (number of mines) of L. trifolii infestation on tomato and the various weather parameters from January 1994 to December 1996. To test the adequacy of the developed model, goodness-of-fit statistics was also computed. Before making a final decision, assumption about the error term was statistically tested. It was concluded from this study that the use of step-wise regression could help in developing a prediction model with higher precision for the accidentally introduced L. trifolii by reducing the variables.
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