Population buildup of whitefly, Bemisia tabaci (Gennadius) on parthenocarpic cucumber in relation to weather parameters under protected environment in Punjab

Predictive model for pest forecast is an important tool for effective integrated pest management strategy. [...]a good understanding of pest population dynamics is of vital importance for crop protection. To study the impact of climatic factors on the population buildup of whitefly, the meteorologic...

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Bibliographic Details
Published inJournal of agrometeorology Vol. 23; no. 4; pp. 457 - 460
Main Authors Shriram Ghongade, Dilip, Sangha, K S, Dhall, R K
Format Journal Article
LanguageEnglish
Published Anand Association of Agrometeorologist 01.12.2021
Association of agrometeorologists
Subjects
Abiotic factors
Agricultural practices
Agrometeorology
Bemisia tabaci
Climate change
Dependent variables
Humidity
Independent variables
Integrated pest management
Maximum temperatures
Meteorological data
Meteorology
Pest control
Pests
Plant protection
Population
Population dynamics
Prediction models
Rain
Regression analysis
Regression models
Relative humidity
Temperature
Weather
Weekly
India
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Summary:Predictive model for pest forecast is an important tool for effective integrated pest management strategy. [...]a good understanding of pest population dynamics is of vital importance for crop protection. To study the impact of climatic factors on the population buildup of whitefly, the meteorological data (weekly means) for temperature (maximum, minimum and average) and relative humidity (morning, evening and average) recorded during the observation period were obtained from the Department of Climate Change & Agricultural Meteorology, PAU, Ludhiana. [...]step-wise linear regression model was evolved for predicting population buildup of whitefly based upon relationships between abundance of B. tabaci as dependent variable (Y) and abiotic factors namely, temperature and relative humidity (maximum, minimum and average) as independent variables (X). Relationships based upon step wise regression analysis Based on the pooled data for autumn cropping seasons (2017 and 2018) an equation was developed using step-wise regression approach, as given below It is evident that maximum temperature and evening relative humidity influenced the buildup of whitefly population to the extent of 36 per cent (R2 = 0.36).
ISSN:0972-1665
2583-2980
DOI:10.54386/jam.v23i4.172