In the present study with regard to fungal contamination rate as
a dependent variable, and climatic factors including; daily relative
humidity, number of daily sunny hours, daily precipitation and
minimum average temperature were entered to the regression model,
respectively. Stepwise regression analysis showed that the daily
humidity, the amount of daily sunshine hours, daily precipitation and
minimum average temperature are the most important climatic factors
that affected the distribution of different types of the evaluated seedborne
fungi except Fusarium moniliforme and Bipolaris oryzae (Table
4). The stepwise regression analysis on climatic factors affecting severity
of fungi A. flavus and A. niger determined that precipitation and daily
humidity could be the most influential factors in distribution of rice