Population dynamics of whitefly, Bemisia tabaci (Gennadius), as influenced by weather conditions infesting Bt cotton hybrid
DOI:
https://doi.org/10.54386/jam.v21i4.288Keywords:
Bt cotton, dates of sowing, whitefly, weather parametersAbstract
To quantify the effect of different sowing environments and weather conditions on incidence of whitefly on cotton, experiments were conducted at PAU Regional Research Station, Bathinda during kharif 2014-2017) with Bt cotton hybrids 'NCS-855 BGII' at normal and late sowing. The mean incidence of whitefly was ranged from 0.0–39.5, 11.2–124.0, 0.2–26.4 and 0.7–15.5 adults/leaf during 2014, 2015, 2016 and 2017, respectively. The maximum adult population of whitefly was recorded in month of August almost in all the years, having its peak between 31–34 standard meteorological weeks (SMW). Among years, whitefly population was negatively correlated with rainfall, morning and evening relative humidity, while positively correlated with maximum temperature (except 2014) and minimum temperature (except 2014 and 2017). Moreover, bright sunshine showed positive correlation with whitefly population. In respect of pooled data, whitefly population showed negative correlation for minimum and maximum temperature and rainfall, while, positive correlation with morning and evening relative humidity and bright sunshine hours. Overall, crop sown at normal date was less affected by infestation of whitefly than late sown crop. So, this information would be helpful in developing efficient pest management strategies on cotton crop in order to get good harvest.
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.