A STATISTICAL MODELLING APPROACH TO STUDY THE INFLUENCE OF WEATHER PARAMETERS ON THE LEAFMINER, Liriomyza trifolii (Burgess) IN SOUTH INDIA

N. K. KRISHNA KUMAR, R. VENUGOPALAN, P. N. KRISHNA MOORTHY

Abstract


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.


Keywords


Liriomyza trilfolii; residual analysi; statistical modeling; step-wise regression; weather parameters

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