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Weather based forecasting models for prediction of leafhopper population Idioscopus nitidulus Walker; (Hemiptera: Cicadellidae) in mango orchard

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Title Weather based forecasting models for prediction of leafhopper population Idioscopus nitidulus Walker; (Hemiptera: Cicadellidae) in mango orchard
Rakshitha Mouly, T. N. Shivananda and Abraham Verghese
 
Creator Not Available
 
Subject Mango, leafhopper, Idioscopus nitidulus, prediction, weather
 
Description This is very useful publication for developing prediction models for leaf hoppers in various fruit crops
Predicting the population of Idioscopus nitidulus well in advance can lead to the successful IPM program
where a timely intervention and proper management of pest can be scheduled. The present study aimed at
determining the effect of abiotic variables on population buildup of leafhoppers in an organic mango
orchard to develop weather forecast models for hoppers. Correlation matrix between I. nitidulus and
weather parameters was worked out, followed by regression to obtain a comprehensive weather forecast
model for the pest. Significant (p= 0.05) correlations were observed in trends of hopper population and
between maximum temperature (positive) and relative humidity-I (negative). The simple linear
regression explained the highest variability R2= 0.77 and R2= 0.42 with maximum temperature and
relative humidity-I respectively. Multiple regression analysis with both maximum temperature and
relative humidity-I as independent variables could explain the variability up to 70%. Thus, simple linear
regression model derived for maximum temperature had the strongest relationship for the population
build-up of hoppers. The best single predictor, maximum temperature is proposed as a reasonable
precision indicator suitable for forecasting the changes in population of hoppers that can be used in
management decisions.
Not Available
 
Date 2019-03-20T10:09:38Z
2019-03-20T10:09:38Z
2017-03-15
 
Type Article
 
Identifier Nil
2349-6800 (print); 2320-7078 (web)
http://krishi.icar.gov.in/jspui/handle/123456789/17557
 
Language English
 
Relation Not Available;
 
Publisher Akinik Publications