Coefficients for each discriminant variable in each canonical function (F1 or F2) obtained in the discriminant analysis used to classify 21 Botrytis cinerea epidemics based on model output.

aSEV1 = accumulated value of relative infection severity of the inflorescences and young clusters; SEV2 = accumulated value of relative infection severity for conidial infection on ripening berries; SEV3 = accumulated value of relative infection severity for berry-to-berry infection on ripening berries.b Coefficients of the discriminant functions. The discriminant function take the form: F = a + b1 ln(SEV1+1) + b2 ln(SEV2+SEV3+1), where a is a constant and bn are the canonical coefficients.c The standardized canonical coefficient is an indicator of the weight of each variable in each function.d The correlation coefficient indicates the discriminant power of each variable in each function.* indicate largest absolute correlation between each variable and any discriminant function. Variables with correlation coefficient ≥ 0.3 are interpreted as important [79].Coefficients for each discriminant variable in each canonical function (F1 or F2) obtained in the discriminant analysis used to classify 21 Botrytis cinerea epidemics based on model output.