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REMOTE SENSING TECHNOLOGIES AS A TOOL FOR COTTON LEAFWORM, SPODOPTERA LITTORALIS (BOISD.): PREDICTION OF ANNUAL GENERATIONS

REMOTE SENSING TECHNOLOGIES AS A TOOL FOR COTTON LEAFWORM, SPODOPTERA LITTORALIS (BOISD.): PREDICTION OF ANNUAL GENERATIONS

Author: Mona Yones, Hassan Dahi, Mohamed Aboelghar
Abstract

The study was carried out at Menia Governorate during 2014/2015 sugar beet season under field conditions. The temperature is an
important environmental factor that has an effect on the rate of development, survival and in any other biological and ecological aspects for the cotton leafworm, Spodoptera littoralis (Boisd.). Seasonal abundance of the insect population and prediction of field generation throw a light on the temperature influence on insect development in the field. The data obtained in this work showed that the cotton leafworm, S. littoralis had four generations on sugar beet during the period from September 1st to March 1st. The predicted peaks of generations could be detected when the accumulated thermal units reach 524.27 degree days (dd's). The predicted peaks for the four generations detected earlier or later +3 to -2 days than the observed peaks. The expected peaks and the corresponding expected generations for cotton leafworm could be helpful to design the IPM control program.

Keywords: Sugar beet, Spodoptera littoralis, remote sensing, prediction of generation

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