Open AccessSucking pest population dynamics of cotton crop in relation to agrometeorological parameters and spectral indices
Author(s) -
Naresh Kumar,
Ram Niwas,
M. L. Khichar,
Ritu Saini,
Barun Biswas
Publication year - 2012
Publication title -
journal of agrometeorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 11
eISSN - 2583-2980
pISSN - 0972-1665
DOI - 10.54386/jam.v14i2.1419
Subject(s) - population , regression analysis , pest analysis , mathematics , sunshine duration , leafhopper , vapour pressure deficit , statistics , ecology , horticulture , meteorology , biology , relative humidity , botany , geography , demography , photosynthesis , transpiration , sociology , hemiptera
Present study was designed to reveal the impact of different meteorological factors on sucking pest population dynamics and to work out multiple regression equations using different weather parameters and spectral indices. Leafhopper population was positively correlated with Tmax (Maximum temperature), Tmin (Minimum temperature), RHM (Morning RH) and RHE (Evening RH) and negatively associated with VPD (Vapour pressure deficit). However, whitefly population was negatively correlated with Tmax, Tmin and VPD and positively related with RHM and RHE. In case of leafhopper, regression equation consisting all the weather variables were more suitable to predict their population (R2 = 0.79). But for whitefly population, equation with only temperature variables explained more variability (R2 = 0.89). Multiple regression analysis with spectral indices showed variable performance for these pests.