Preparation of forecasting model based on temperature for
the management of wheat Sunn pest in line with the development of caring
network programs

By researchers of the Iranian Research Institute of Plant
Protection

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 Sunn pest Research Department ‌has undertaken to prepare a
forecasting model based on temperature ‌ for the management ‌ of wheat Sunn
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 Sunn pest (mother Sunn 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 Sunn pest forecasting model has been prepared as a
spreadsheet program that can be used in the Sunn pest rich regions to calculate
the time of migration of the mother Sunn 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.

https://www.iripp.ir/en-US/iripp/9550/news/view/55335/150237/Staging