Study of population dynamics of soybean semi-looper Gesonia gemma Swinhoe by using rule induction model in Maharashtra, India

DOI: 10.18805/lr.v0i0.7297    | Article Id: LR-3571 | Page : 369-373
Citation :- Study of population dynamics of soybean semi-looper Gesonia gemmaSwinhoe by using rule induction model in Maharashtra, India .Legume Research-An International Journal.2017.(40):369-373

J. Cruz Antony# and M. Pratheepa*

mpratheepa@gmail.com
Address :

Division of Molecular Entomology, ICAR-National Bureau of Agricultural Insect Resources, Bengaluru-560 024, India.

Submitted Date : 23-07-2015
Accepted Date : 16-12-2015

Abstract

Gesonia gemma Swinhoe (1885) is a grey semi-looper and it has emerged as a serious threat to the soybean crop. This defoliator causes heavy damage to the crop in the form of loss in grain weight. Gesonia gemma population dynamics was studied in various districts of Maharashtra. Sequential covering algorithm (CN2 rule induction) has been proposed for rule induction model to generate a list of classification rules with target feature (G. gemma population) and the independent abiotic features. The classification rules have exhibited more accuracy and showed that maximum temperature and humidity with less number of rainy days has influenced the population of Gesonia gemma in Maharashtra. Hence, this rule induction model can be used to study the collected evidence for prediction and it will be helpful to the farmers to take necessary pest control strategy.

Keywords

CN2 rule induction Gesonia gemma Population dynamics Semi-looper Soybean.

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