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العنوان
Utilization of remote sensing and geographical information system for predicting the pink bollworm, Pectinophora gossypiella (Saund.) annual generations/
الناشر
Ain Shams university.
المؤلف
Yones ,Mona Sayed Ahmad.
هيئة الاعداد
مشرف / هاشم علي عبد الرحمن
مشرف / أيمن فريد أبو حديد
مشرف / سيد مدنى عرفات
مشرف / حسن فرج ضاحى
باحث / منى سيد أحمد يونس
الموضوع
Pink bollworm. Pectinophora gossypiella. Generation Prediction. Temperature threshold.
تاريخ النشر
2013.
عدد الصفحات
P.145:
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
علوم الحشرات
تاريخ الإجازة
1/1/2013
مكان الإجازة
جامعة عين شمس - كلية العلوم - Entomology
الفهرس
Only 14 pages are availabe for public view

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from 145

Abstract

The present study dealt with the utilization of remote sensing and geographic information system in calculation of the thermal units for the pink bollworm, Pectinophora gossypiella, in order to predict its annual generations. In laboratory study, the thresholds of development were 9.91, 14.07, 9.57, 12.18 and 12.03˚C for eggs, larvae, pupae, pre-oviposition period and generation, respectively; while the averages of their thermal units were 72.11, 166.38, 248.70, 26.83 and 499.71 dd’s, respectively. A field study was conducted at Qaha farm, Qaluobyia Governorate for two successive cotton seasons (2009 and 2010), using sex pheromone traps (Delta trap) for studying the seasonal abundance of P. gossypiella male moths. Data revealed that four main generations occurred in cotton fields, in addition to a suicidal generation during each of the two successive seasons. Results cleared that the mean deviations between the observed and expected generations were +4, -3, -2 and +2 days with an average of +1 day for season 2009 and -2, 0, +4 and -1 day with an average of +1 day for season 2010. The data revealed that the general mean deviation was 1 day for the two seasons. Therefore, remote sensing and GIS technologies as well as heat summation can be used for identifying and observing the pink bollworm infestation timely; thus helping for successful IPM programs.