Germination parameters
Increasing concentration of salinity significantly reduced the germination percentage of rice varieties (Table 1).
In all the treatment (control, 75 mM NaCl, 125 mM NaCl and 150 mM NaCl) significantly higher and equal germination percentage recorded for 3 genotypes such as Pokkali, TRY3 and CO 53 and the values of these three genotypes are similar 100%, 99.67%, 99.33% and 99% respectively. Similarly IR 64 recorded significantly lower germination percentage in control, 75 mM NaCl, 125 mM NaCl and 150mM NaCl the values are 100%, 80%, 80%, 70% respectively. Varietal difference of rice observed in germination percentage between 3 treatments (75mM NaCl, 125 mM NaCl,f 150 mM NaCl).Low germination percentage at higher concentration of salinity may be due to increase in osmotic stress by high salt concentration which may affect the imbibition of seeds it already proved by
(Akbar and Ponnamperuma, 1982).
Germination index is the ratio of the summation of germination of seeds on day t to the total number of days (Fig 4). In all the treatments (Control, 75 mM NaCl,125 mM NaCl, 150 mM NaCl) significantly higher germination index recorded for Pokkali and the values are 68, 63.30, 60, 55 respectively and significantly lower germination index recorded for IR 64 and the values are 36,23.30, 17.50 and 14.90. Similar results were found in a study conducted by
(Pushpam and Rangasamy, 2002) in rice. There are studies revealed that high yielding varieties showed higher germination index compared to local and coarse grain varieties and it was negatively correlated with salt concentration
(Khan et al., 1997).
Statistical analysis of mean germination time (Table 1) revealed that in all the treatments significantly higher mean germination time recorded for IR 64 and the values are 2.81 days, 3.62 days, 4.73 days, 4.81 days in control, 75mM NaCl, 125 mM NaCl and 150 mM NaCl respectively. Similarly significantly lower mean germination time recorded for Pokkali and the values are 1.74 days, 1.83 days, 1.85 days and 2.10 days, similar results were found in
(Shi et al., 2017). Speed of germination decreases with increasing concentration of salinity irrespective of genotypes highest speed of germination noticed in control and lowest recorded for 12 dsm-1 which reduced 70% of speed of germination with respect to non-saline condition
(Hakim et al., 2010).
Shoot length and root length
Among genotypes significantly higher shoot length were measured for Pokkali in Control, 75 mM NaCl, 125 mM NaCl and 150 mM NaCl and the values are7.73 cm, 6.03 cm, 4.27 cm and 2.37 cm respectively and significantly lower shoot length recorded for IR 64 and the values are 1.67 cm, 0.57 cm, 0.40 cm and 0.30 cm. Second highest shoot length recorded for CO 53 in control and 75 mM NaCl, the values are 5.13 cm and 4.37 cm however it was CO 51 in 125 mM NaCl and 150 mM NaCl treatments and the values are 2.47 cm and 2.27 cm (Fig 2).
Significantly higher root length recorded for Pokkali followed by TRY2 and the values are 8.17 cm,7 cm,5.23 cm, 3.80 cm and 5.53 cm, 3.73 cm, 3.07 cm, 2.63 cm in control, 75mM NaCl, 125 mM NaCl and 150 mM NaCl respectively (Fig 3). Significantly lower root length recorded for IR 64 in all the treatments and the values are 2.30 cm, 1.20 cm, 0.30 cm and 0.20 cm. Salinity reduced seedling growth as the reduction in shoot and root length compared to control in rice so that increasing salinity showed a decreasing trend
Vibhuti et al., (2015) and significantly higher root length recorded in control condition compared to higher salt stress condition (12 dsm
-1) in 10 days old genotypes. Root length to shoot length ratio recorded were significantly different between genotypes, treatment and their interaction (Fig 5). Under control significantly higher root length to shoot length ratio recorded for TRY4, the values are 2.58, 2.63, 2.57 and 2.77.Significantly lower root length to shoot length ratio recorded for ADT 53 and the values are 0.40, 0.50, 0.23 and 0.15.
Fresh weight and dry weight
Fresh weight also have decreasing trend with increasing concentration of salinity, which significantly different from genotypes, treatments and their interaction (Table 2). Under higher concentration of salinity significantly lower fresh weight recorded for IR 64 and the values are0.08 g, 0.07 g, 0.05 g and0.04 g. significantly higher fresh weight recorded for TRY2 in control and 75mM NaCl, the values are 0.17 g and 0.14 g. In 125 mM NaCl and 150 mM NaCl it was TRY 3 and the values are 0.11 g and 0.09 g.
Significantly higher dry weight recorded for TRY2 In control and 75 mM NaCl, the values are 0.034 g, 0.027 g however in 125 mM NaCl and 150mM NaCl treatment significantly higher dry weight recorded for TRY3, the values are 0.021 g and 0.018 g similarly significantly lower fresh weight in all the treatment recorded for IR 64, the values are 0.017 g, 0.014 g, 0.011 g and 0.009 g (Table 2). Fresh and dry weight reduced by increasing concentration of salinity in rice compared to control, greater reduction noticed in 150mM NaCl treatments
(Jamil et al., 2012).
Seedling vigour index
Seedling vigour index recorded were significantly different between genotypes, treatment and their interaction (Fig 1).
Significantly higher seedling vigour index recorded for Pokkali in all the treatment, the values are 1590, 1303, 950, 616.67 and significantly lower seedling vigour index recorded for IR 64, the values are 396.67, 141.33, 56.00, 35.00. Plant vigor is the major check for salt tolerance
(Platten et al., 2013) which help to reduce toxic effect of salinity
(Allbed and Kumar, 2013) fast growing genotypes showed comparatively lower sodium accumulation than slower growing genotypes. Plant vigour considered as avoidance mechanism rather than the tolerance mechanism
(Yeo et al., 1990).
Assessment of salt tolerance using principal component
Principle component analysis did to identify the principle component of growth and germination parameters for identifying salt tolerance capacity of rice genotypes at germination stage. Principle component analysis revealed that there are 2 component extracted, which explained a total of 83.54% variance (Table 3) in that, component 1 explained 64.96% and component 2 explained 18.57%. First principal component showed higher values for all germination and morphological parameters and lesser loading recorded for RL/SL, second principal component recorded higher value for RL/SL, GP and RL and lesser loading recorded for remaining morphological and germination parameters. Pearson correlation revealed that GP correlated with GI, MGT, SL, RL, RL/SL, FW, DW and SVI. GI correlated with MGT, SL, RL, FW, DW and SVI. MGT correlated with SL, RL, FW, DW and SVI. SL correlated with RL, RL/SL, FW, DW and SVI. RL correlated with RL/SL, FW, DW and SVI. FW correlated with DW and SVI. DW correlated with SVI (Table 4).