A forecasting model for management of wheat Sun pest and a
caring network programs ‎by IRIPP

According to the Public Relations office of the Iranian
Research Institute of Plant Protection, ‎since multiple sampling of wheat
fields requires high expense and trained experts, Dr. Masood ‎Amir Mafi,
the faculty member of the Wheat Sun pest Research Department has undertaken to ‎prepare
a forecasting model based on temperature for the management of wheat Sun pest
the ‎important and key pest of wheat in line with the
development of caring network programs. ‎

Using a forecasting model to accurately predict the time of
migration of over wintering Sun pest ‎‎(mother Sun pest) from mountains to the farms and the time
of the activity of the second and ‎third instar nymphs in the field in order to announce the
sampling and issuing control orders ‎based on the level of economically damaging levels,
significantly reduces visits to over wintering ‎areas of the
pest and therefore reduces the frequency of sampling of farms and the costs and
‎saves the experts' time.‎

Wheat Sun pest forecasting model has been prepared as a
spreadsheet program that can be used ‎in the Sun pest rich regions to calculate the time of
migration of the mother Sun pest and the ‎time of the activity of the
second and third instar nymphs when the population of these ‎biological
stages reaches to 50% of their Frequency.‎

http://en.areeo.ac.ir/news/a-forecasting-model-for-management-of-wheat-sunn-pest-and-a-caring-network-programs-by-iripp