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The statistical analysis was performed using the SAS version 8.2 (Cary, NC, US).
Data were analyzed using the SAS version 8.2 statistical package (SAS Institute Inc., Cary, NC, USA).
Statistical analyses of the data were done using the SAS version 9.2 to analyze variance and to determine the statistical significance of the treatment effects.
The following logistic regression model was fitted using the SAS (Version 9.2) procedure GENMOD: y = logit intercept + stand + pruning, where y was a binary variable coded as 1 for infected trees and 0 for uninfected trees.
A series of multi-factor ANOVAs (analyses of variance) were fitted using the SAS Version 9.2 PROC MIXED procedure to test the effects of temperature, treatment, and time since application as appropriate for each data set.
Analyses of variance and Pearson correlation analyses were performed using the SAS Version 8.2 program [62].
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All statistical analyses were performed by using the sas system, version 8.2 or higher (SAS Institute Inc., Cary, NC, USA).
All analyses were performed using the sas statistical package (version 9.1 for Windows; SAS institute, Cary, NC, USA).
Statistical analysis was performed using the SAS statistical program (SAS-PC, version 9.3; SAS Institute Inc., Cary, NC).
All analyses were performed using the SAS statistical program (SAS-PC, Version 8.0; SAS Institute Inc., Cary, NC, USA).
All statistical analyses were performed using the SAS statistical program (SAS-PC, version 9.1; SAS Institute Inc., Cary, NC, USA).
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