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Prediction models for Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) based on weather parameters in an organic mango orchard

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Title Prediction models for Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) based on weather parameters in an organic mango orchard
Not Available
 
Creator Rakshitha Mouly, TN Shivananda and Abraham Verghese
 
Subject Bactrocera dorsalis, mango, weather parameters, prediction models
 
Description Published work is the research findings of senior author - INSPIRE FELLOW at ICAR-IIHR
The present study was aimed to determine the effect of abiotic factors on population of B. dorsalis in an
organic mango orchard and to develop weather forecast models at ICAR- Indian Institute of Horticultural
Research, Bangalore, Karnataka in an organic mango orchard during Jan 2014- Dec 2015. Correlation
studies showed that there was a significant positive correlation between maximum and minimum
temperature, wind speed and rainfall. The linear regression explained the highest variability R2=0.74 with
wind speed and multiple regression analysis with all the significant weather variables could explain the
variability to an extent of 83% during the fruiting phase of mango. Thus, the simple linear regression
model derived from windspeed can be considered as a best single predictor for forecasting the changes in
population of B. dorsalis that can be used in the management decisions.
Nil
 
Date 2019-03-21T04:55:56Z
2019-03-21T04:55:56Z
2017-12-01
 
Type Article
 
Identifier Rakshitha Mouly, TN Shivananda and Abraham Verghese. 2017. Prediction models for Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) based on weather parameters in an organic mango orchard. Journal of Entomology and Zoology Studies 2017; 5(6): 345-351
E-ISSN: 2320-7078 P-ISSN: 2349-6800
http://krishi.icar.gov.in/jspui/handle/123456789/17584
 
Language English
 
Relation Not Available;
 
Publisher Akinik Publications