Impact of weather parameters on population dynamics of oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) under south Gujarat mango ecosystem
DOI:
https://doi.org/10.54386/jam.v19i1.762Keywords:
Fruit fly, correlation,, population dynamics, prediction,, regression,, weather parametersAbstract
The field experiment was conducted during 2013-16 at Navsari Agricultural University, Paria, Gujarat to study the role of weather parameters on population dynamics of oriental fruit fly, Bactrocera dorsalis on mango, Mangifera indica L. Fruit flies were recorded throughout the investigation period, wherein maximum catches were observed during April - July which coincided with fruiting and harvesting stages of the crop. Weather parameters viz., minimum temperature, evening relative humidity, rainfall and wind velocity were found to be important predictors of fruit fly catches, while maximum temperature and morning relative humidity failed to establish significant correlation with the catches. The optimized model developed using rainfall and wind velocity predicted fruit fly catches based on R2 value to the tune of 78 per cent. This forewarning model may help mango farmers to take advance decision for minimizing the quantitative and qualitative crop losses caused by fruit flies of the region.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.