תפריט נגישות
ניגודיות עדינהניגודיות גבוהה
מונוכרום
הדגשת קישורים
חסימת אנימציה
פונט קריא
סגור
איפוס הגדרות נגישות
להורדת מודול נגישות חינם תפריט נגישותניגודיות עדינהניגודיות גבוההמונוכרוםהדגשת קישוריםחסימת אנימציהפונט קריאסגוראיפוס הגדרות נגישותלהורדת מודול נגישות חינםNili Pinhassi and David Rosen - Department of Entomology, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
Haim Reuveny - Kibbutz Yir'on, Upper Galilee, 13855 Israel
Dov Oppenheim - Ministry of Agriculture, Extension Service, Zefat, Israel
The onset and rate of oviposition and egg-hatching in the spring generation of the olive scale, Parlatoria oleae (Colvee) (Coccoidea: Diaspididae), were investigated during 1992 and 1993 in the Upper Galilee, Israel. A regional predictive phenological model was developed for both phenological events. Fifty percent oviposition was calculated to occur at approximately 176 degree-days accumulated from January 1st, while 50% egg-hatching occurred at approximately 303 degree-days. During 1993 the model accurately predicted the timing of the phenological events, with a maximal deviation of 5 days from the predicted dates. It is suggested that this model can be successfully applied to optimize pesticidal treatments against olive scale crawlers.
Nili Pinhassi and David Rosen - Department of Entomology, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot, Israel
Haim Reuveny - Kibbutz Yir'on, Upper Galilee, 13855 Israel
Dov Oppenheim - Ministry of Agriculture, Extension Service, Zefat, Israel
The onset and rate of oviposition and egg-hatching in the spring generation of the olive scale, Parlatoria oleae (Colvee) (Coccoidea: Diaspididae), were investigated during 1992 and 1993 in the Upper Galilee, Israel. A regional predictive phenological model was developed for both phenological events. Fifty percent oviposition was calculated to occur at approximately 176 degree-days accumulated from January 1st, while 50% egg-hatching occurred at approximately 303 degree-days. During 1993 the model accurately predicted the timing of the phenological events, with a maximal deviation of 5 days from the predicted dates. It is suggested that this model can be successfully applied to optimize pesticidal treatments against olive scale crawlers.
