Investigating physiological and biochemical

3.1.2.6 Statistical Analysis 
 
All the data presented in this study are mean of three replications. Analysis of 
variance (ANOVA) was performed by using a statistical package, Statistix 8.1. 
Significant differences among treatments were considered at the P ≤ 0.05 levels.
3.1.3. Results 
 
There was very significant difference among linseed genotypes in terms of growth 
and ionic parameters. The interactions between salinity levels and genotypes were also 
significant (P<0.05) for seedling growth [shoot dry weight (SDW), root dry weight 
(RDW), root length (RL) and shoot: root ratio (S/R)] and ionic parameters (Na
+
, K
+
and Na
+
/K
+
) measured 30 days after salinity stress, indicates that there was variable 
response of genotypes to salinity from low to high levels (Table 3.1.1). The response of 
linseed genotypes in terms of their growth and ionic parameters at control, 100 and 200 
mM NaCl are presented and discussed here. 
 
Table 3.1.1.F-tests and P values of main effects of salinity and genotypes and their interactions for 
ionic parameters and seedling growth parameters measured at 30 days from salt stress
Source 
d.f 
Ionic parameters 
Growth parameter 
Na
+
K
+
Na
+
/K
+
SDW 
RDW 
RL 
S/R 
Salinity (S) 
2 
876.86** 1703.05** 358.01** 585.50**
52.85** 156.73**
28.23** 
Varieties(V) 59 
6.55** 
6.41** 
3.94** 
10.08** 7.83** 
3.20** 
2.73** 
SV 
118 5.06** 6.31** 
3.34** 
2.74** 
2.43** 2.63** 
2.69** 
* Significant at α= 0.05, ** highly significant at α= 0.01

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