Regression equations of PLB Disease Severity (%) Observed Predicted R2
Y=bo+b1X1+b2X2+b3X3
Desiree: –4.488+0.36X1+0.49X2 0.80
(X1=maximum temperature, X2=wind speed) 1.25
5.50
5.75
2.20
1.02
5.16
5.24
2.54
 
Diamont: –5.26+0.36X1+0.32X2+0.51X3 0.89
(X1=maximum temperature, X2=min. temperature,X3=wind speed) 5.25
1.10
5.67
6.42
5.21
1.09
5.43
6.27
 
SH-5: –4.33+0.32X1+0.34X2+0.53X3 0.91
(X1=maximum temperature, X2=min. temperature,
X3=wind speed)
4.33
3.75
6.00
1.15
4.30
3.82
5.91
1.25
 
SH-339: –3.85+0.26X1+0.38X2+0.51X3 0.86
(X1=maximum temperature, X2=min. temperature, 
X3=wind speed)
5.08
1.10
6.00
1.00
5.07
0.99
5.97
1.10
 
FD35-36: –12.54+0.29X1+0.14X2+0.43X3  
(X1=max. temperature, X2=min. temperature,
X3=wind speed)
4.90
1.08
4.42
4.17
4.92
1.05
4.33
3.87
0.80
Table 3: Multiple regression equations based on environmental conditions and predicted PLB disease severity values during two years.