Parameters and statistics of the regression models describing the relationships between weather data and daily numbers of airborne Fusarium graminearum ascospores sampled in North Italy in 2012 to 2014.

1 In the first data set, all sampling days were considered, whether or not ascospores were discharged from perithecia (n = 154); in the second data set, only days with ascospore peaks, i.e., ≥ 30 ascospores / m3 air per day, were considered (n = 27).2 Tav, Tmin, Tmax = average, min, and max daily temperature; WDt = total wetness duration; VPD = vapor pressure deficit; Asc(0,1) = dycotomic variables with 0 and 1 being no or yes ascospores, respectively.3 Parameters of the following regression model: Y = β0 + β1X1 + … + βnXn; Y = natural logarithm of ascospore numbers. Ascospores were sampled with a volumetric spore sampler from the air above maize stalk residues bearing mature F. graminearum perithecia; ascospore numbers were transformed by using the function ln(x+1) for the analysis.4 Standard error of the parameters.5 Standard error of the estimates.Parameters and statistics of the regression models describing the relationships between weather data and daily numbers of airborne Fusarium graminearum ascospores sampled in North Italy in 2012 to 2014.