Forewarning model for mustard aphid, Lipaphis erysimi (Kalt.) through growing degree days

AbstractPresent study, attempts to develop a prediction model using the experimental data on mustard aphid for 16 consecutive rabi seasons from 2003-04 to 2020-21. An effort was made to study temperature and appearance of aphid relationship through the GDD method. Data on the arrival and peak of mustard aphid, temperature were recorded for the prediction of model. Aphids appeared mostly when the growing degreedays (GDD) ranged between 561 and 760. Based on observations it was concluded that there was an inverse relationship between GDD and populations of mustard aphid. GDD model was validated for two seasons 2021-22 and 2022-23.