Skip to main content
Applied Biological Chemistry

Table 3 The statistical response from ANOVA analysis for the developed model on differentiation

From: Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques

Source

Sum of Squares

df

Mean Square

F-value

p-value

 

Model

297.79

14

21.27

247.99

 < 0.0001

Significant

A-Agar concentration

0.4374

1

0.4374

5.10

0.0393

 

B-Light duration

0.0600

1

0.0600

0.6995

0.4161

 

C-Culture temperature

0.3601

1

0.3601

4.20

0.0584

 

D-Relative humidity

2.10

1

2.10

24.49

0.0002

 

AB

5.93

1

5.93

69.13

 < 0.0001

 

AC

0.6889

1

0.6889

8.03

0.0126

 

AD

0.0961

1

0.0961

1.12

0.3066

 

BC

2.79

1

2.79

32.52

 < 0.0001

 

BD

4.45

1

4.45

51.91

 < 0.0001

 

CD

0.3540

1

0.3540

4.13

0.0603

 

A2

59.62

1

59.62

695.14

 < 0.0001

 

B2

62.90

1

62.90

733.37

 < 0.0001

 

C2

115.76

1

115.76

1349.63

 < 0.0001

 

D2

152.36

1

152.36

1776.35

 < 0.0001

 

Residual

1.29

15

0.0858

   

Lack of Fit

0.8434

10

0.0843

0.9516

0.5594

Not significant

Pure Error

0.4431

5

0.0886

   

Cor Total

299.08

29

    
Back to article page