Document Type : Research Paper
Authors
Shiraz University, Shiraz, Iran
Abstract
Keywords
Introduction
One of the most important limiting factors which can cause major loss in crop productivity is soil and water salinization (Munns 2002; Ahmadi et al. 2009; Emam et al. 2009; Sadeghi and Emam 2006). Salt affected lands, which is around 7% of the world’s land area, i.e. 930 million ha (Ashraf and Orooj 2006), are generally less productive and less profitable for salt-sensitive and often more valuable forage crops such as alfalfa (Djilianov et al. 2003). In Fars province of Iran, salt stress is considered to be a growing problem in irrigated agricultural areas with low water quality and poor soil drainage (Sadeghi and Emam 2006). In these areas, where the rainfall is often low, cropping of salt tolerant cultivars will allow crops to extract more water.
Cordivilla et al. (1999) reported that in legumes, increase in salt stress level, greater than 50 mM L-1 NaCl, was associated with decrease in growth and productivity. Hashemi and Hajrasuliha (2001) found that some alfalfa cultivars (Ranger and Rahnani) produced more dry weight and leaf area, compared with other cultivars (Maopa and Yazdi), under salinity levels greater than 50 mM L-1 NaCl. Safanejad et al. (1996) reported that there was a strong positive relationship between dry weight and RWC in alfalfa under salt stress conditions. Vaughan et al. (2002) declared that in MnPl-9-LF and MnPl-9-HF cultivars of alfalfa, with increasing salt stress from 70 to 300 mM L-1 NaCl a respective decline of 36 to 87% in dry weight production was occurred.
Salinity inhibits plant growth due to water deficit and or ion-excess effects (Munns et al. 2006), while higher amounts of sodium (Na+) in plant tissue is toxic, but potassium (K+) is essential to the plants. The cytosol of plant cells normally contains 100-200 mM L-1 of K+ and 1-10 mM L-1 of Na+. Under the typical salt stress conditions, accumulation of high Na+/K+ disrupts enzymatic functions that are normally activated in cells (Munns 2002; Munns et al. 2006). Under salt stress, it is important for cells to maintain a low concentration of Na+ or to maintain a high K+/Na+ ratio in the cytosol (Maathuis and Amtmann 1999). Plant cells that maintained higher K+/Na+ and Ca2+/Na+ ratios in the shoots, can function normally under saline conditions (Jones 2001). Ashraf and Orooj (2006) reported that the maintenance of higher K+/Na+ and Ca2+/Na+ ratios in shoots by ajowain (Trachyspermum ammi L.) could be an important component of its salt tolerance. Gholipor et al. (2004) showed that under salt stress conditions, the Kabuli cultivars of chickpea had lower K+ and Ca2+ concentrations and K+/Na+ ratio and their dry weights decreased with increasing salinity level.
The major global problems with soil and salinity is caused by human activities, and Na+ and Cl- are the ions that are responsible for the plant yield losses (Ashraf and Orooj 2006; Ahmadi et al. 2009). Osmotic potential of the soil increases, when NaCl as well as other soil ions accumulate, and this obstructs the uptake of water by the plants. Further perturbations of plant metabolism occur when toxic ions such as Na+ or Cl- enter the plant cell (Suyama et al. 2007; Da Silva and Nogueira 2008).
The aim of this research was to examine the vegetative growth, ion accumulation and biomass production of two alfalfa cultivars under salinity stress and also to clarify the relationship between ion accumulation and biomass production of two alfalfa cultivars using correlation and path analyses.
Materials and Methods
In order to examine the effects of sodium chloride on vegetative growth and ions accumulation in two alfalfa cultivars (Bami and Hamedani), a greenhouse experiment was conducted during Spring and Summer 2008. Bami is a late season cultivar, with a plant height of up to 100 cm, high yield potential and vertical growth habit, which is adapted to temperate and semi-tropical environments of FarsProvince. Hamedani is an intermediate season cultivar, with a plant height of up to 75 cm, medium yield potential and prostrate growth habit, which is adapted to cold and temperate environments of FarsProvince (Bahrani 2000). The experiment was carried out at College of Agriculture, ShirazUniversity, Shiraz, Iran, on a fine mixed, mesic Typic Calcixerpets soil. There were six levels of salinity (i.e. control, 25, 50, 75, 100, and 125 mM L-1 NaCl). The temperature range was 25 to 30° C, with 70 to 80% relative humidity throughout the experiment. The light intensity was in the range of 600-1000 µmol m-2 s-1. The experiment was arranged as completely randomized design with four replications. Physico-chemical properties of soil before sowing was as: sand, silt, and clay= 7, 67.6 and 25.4%, respectively, organic matter content= 0.91%, pH=7.1, EC=0.05 dS/m, total nitrogen=0.09%, phosphorous= 16.1 mg kg-1 and potassium= 463 mg kg-1.
Alfalfa seeds were sown in 5 kg plastic pots filled with soil fertilized with 20, 25 and 10 mg kg-1 NPK, respectively. Before sowing, some gravel (5 to 10 mm) was put at the bottom of each pot to allow drainage. Fifty seeds were sown in each pot on April 28th 2008, and then thinned to twenty seedlings at the two-leaf stage and harvested at 10% flowering on July 3rd 2008. When the plants were at the two-leaf stage, salt treatments were applied. The pots were irrigated every five days up to field capacity and the EC of the soil in each pot was measured before and after each irrigation, using a portable EC meter (Model Scout 1010, UK).
Leaf area per pot was measured at harvest using a leaf area meter (Model 3000, LI-COR Inc.: Lincoln, NE) 67 days after NaCl treatment. At harvest, the forages were cut, rinsed briefly in de-ioinized water to remove surface salts and dust, weighted and samples were dried in an oven at 72° C for 48 hours, to determine dry weights. The dried tissues were ground to pass a 1 mm mesh in a Thomas-Wiley laboratory mill for Na+, K+ and Ca2+ quantification. The contents of Na+, K+ and Ca2+ were then determined using a flame photometer (Model Jenway PFP-7). Chloride was measured by titration after samples were oven-dried and ground material was extracted in de-mineralized water for 30 min (Chen et al. 2001). The leaf relative water content (RWC) was calculated according to Beadle et al. (1993) using the following equation:
RWC = [(FW - DW/((TW-DW)] × 100
where FW is the fresh weight, DW is the dry weight and TW is the turgid weight. The data were subjected to analysis of variance, and the means were compared using Duncan's multiple range test (p ≤ 0.05). Path and correlation analyses were done using SAS (2000).
Results and Discussion
Analysis of variance: Based on Table 1, ion accumulation, dry weight, leaf area, plant height and RWC were significantly affected by alfalfa cultivars and salt stress. Interactions of cultivar × salt stress for Na+, Ca2+ and Cl- accumulations, dry weight, leaf area and RWC were also significant (Table 1).
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Source of variations |
Degrees of freedom |
K+ |
Na + |
Ca++ |
Cl- |
Dry weight/pot |
Leaf area/pot |
Height |
%RWC |
Cultivar |
1 |
23999.2 * |
6916.7 ** |
930.25** |
37249.0* |
148.03** |
210834.0** |
42.25** |
1560.25** |
Salt Stress |
5 |
196891.5** |
180770.1* |
425.25* |
151444.6** |
113.69** |
66313.9* |
102.85** |
1676.02** |
Cultivar × Salt |
5 |
1356. 8ns |
2954.1** |
45.25** |
4823.8** |
0.62* |
7968.5 * |
2.05ns |
56.91** |
Error |
36 |
1748.9 |
5.5 |
13.58 |
0.0135 |
0.77 |
52931.5 |
0.91 |
1.38 |
Table 1. Analysis of variance for measured traits of two alfalfa cultivars under salinity stress conditions
ns,* and ** : not significant and significant at 0.05 and 0.01 probability levels, respectively.
RWC= Relative Water Content
Effect of salt stress on vegetative characteristics and RWC of alfalfa
In Bami, with increasing salt stress from 75 to 125 mM L-1, dry weight per pot was significantly decreased from 15.1 g/pot to 10.3 g/pot, while in Hamedani this decrease was started from 50 mM L-1, indicating that Bami might be more tolerant to salinity than Hamedani (Table 2). These results are in agreement with those of Hashemi and Hajrasuliha (2001) who found that in alfalfa, increasing salt stress levels greater than 200 mM L-1 killed the plants due to toxicity effects of NaCl. Suyama et al. (2007) also reported that due to poor salt tolerance of alfalfa, increase in salt stress levels (greater than 100 mM L-1) was associated with plant dry weight reduction. Similar findings have been reported by Emam et al. (2009).
In both Bami and Hamedani cultivars leaf area was significantly decreased when salt stress levels exceeded 75 mM L-1 (Table 2). Again, Bami, which appeared to be more tolerant, had greater leaf area (Table 2). Djovic et al. (2003) found that at higher salt stress levels (more than 75 mM L-1) leaf area of alfalfa was decreased dramatically. In both alfalfa cultivars, plant height was reduced by salt stress, however, such reduction was greater in Hamedani (Table 2). In a similar study, Vaughan et al. (2002) declared that the long term irrigation of alfalfa with saline water of more than 70 mM L-1 should not be recommended, due to sharp decrease in the root growth, plant height and phytomass production.
There was a significant difference in RWC between the two cultivars at 75 to 125 mM NaCl salinity levels (Table 2) and Bami (i.e. the tolerant cultivar) had greater RWC than Hamedani under all salinity levels. Workers have attributed the variation in RWC between the alfalfa cultivars, when plants were exposed to salt stress, into genetic variations (Jones 2001; Emam et al. 2009). Safanejad et al. (1996) reported that Salado alfalfa cultivar with higher RWC was more tolerant to salinity stress compared to other cultivars with lower RWC. Annad et al. (2000) declared that an increase in salinity level from 25 to 250 mM L-1 decreased the RWC from 38 to 3%. Also, a strong positive relationships between leaf area and RWC for both Bami (R2=0.96) and Hamedani (R2=0.95) cultivars were found under salinity conditions (Figure 1). In addition, Bami with higher RWC had greater dry weight and leaf area, compared to Hamedani under each salinity level (Table 2).
Table 2. Effect of NaCl on dry weight, leaf area, plant height and relative water content (RWC) of two alfalfa cultivars
Treatment |
Dry weight (g/pot) |
Leaf area (cm2/pot) |
Height (cm)
|
RWC (%)
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|
Cultivar |
Salinity (mM L-1) |
||||
Bami |
0 25 50 75 100 125 |
21.6a 20.1ab 19.3b 15.1d 13.1e 10.3fg |
912a 906a 776b 607c 489d 305e |
22.1a 22.2a 21.3ab 20.1b 16.4c 13.2d
|
87.6a 86.5a 85.3a 66.0c 60.0d 48.7f
|
Hamedani |
0 25 50 75 100 125 |
17.2c 17.3c 14.5de 11.0f 9.1g 6.4h |
711b 715b 469d 313e 213f 189f |
21.0ab 20.6b 20.5b 17.4c 14.3d 9.1e
|
79.2b 78.3b 76.3b 52.1e 48.6f 35.2g
|
In each column means followed by the similar letters are not significantly different using Duncan's multiple range test (p ≤ 0.05
Figure 1. Relationship between leaf area and leaf relative water content (RWC)
under salinity treatments for two alfalfa cultivars
Effect of salt stress on ion accumulation of alfalfa
Generally, in both cultivars, K+ and Ca2+ concentrations of the foliage were decreased with increase in salt stress levels (Figures 2a and 2b). In Bami, K+ and Ca2+ concentrations were higher than Hamedani under all stress levels. Jones (2001) suggested that the role of K+ accumulation is more important than Ca2+ for cell growth and enzymatic activation under salt stress conditions. The Na+ concentration was increased from 220 to 565 mmol kg-1 dry weight in Bami, and from 238 to 643 mmol kg-1 dry weight in Hamedani (Figure 2c). Also, with increase in salinity level, Cl- concentration in Hamedani (622 mmol kg-1 dry weight at 125 mM L-1 NaCl) was higher than Bami (503 mmol kg-1 dry weight at 125 mM L-1 NaCl) (Figure 2d). Maathuis and Amtmann (1999) reported that it is very vital for plant cells to keep a low concentration of Na+ and Cl- and high concentration of K+ and Ca2+ when exposed to salt stress. Similar results have been reported by other workers (e.g. Emam et al. 2009). Also, Bami was able to accumulate lower amount of Na+ and Cl- and higher amount of K+ and Ca2+ than Hamedani (Figure 2).
Correlation
Results showed that in Bami, there were highly significant positive correlations between alfalfa dry weight and K+ concentration (r=0.97), Ca2+ concentration (r=0.96), leaf area (r=0.50), alfalfa height (r=0.87) and RWC (r=0.98) (Table 3). On the other hand, there were significant negative correlations of alfalfa dry weight with Na+ concentration (r=-0.91) and Cl- concentration (r=-0.96) (Table 3). Results also revealed that in Hamedani, dry weight per pot was significantly correlated with K+ (r=0.91), Ca2+ (r=0.95), leaf area (r=0.46) and RWC (r=0.98) (Table 4), while there was significant negative correlation between alfalfa dry weight and Na+ (r=-0.95) and Cl- (r=-0.98). These correlations confirmed the negative role of Cl- and Na+ in phytomass production of alfalfa.
In Bami, negative correlations between K+ and Na+ (r=-0.96), K+ andCl- (r=-0.97), Ca2+ and Na+ (r=-0.88) and Ca2+ andCl- (r=-0.99) were obtained (Table 3). Similar trends were observed for ion concentration in Hamedani (Table 4). It is worthy to note that according to Samonte et al. (1997), use of simple correlations may not be efficient for breeding purposes.
Path analysis
Based on path analysis in Bami, there were positive path coefficients, direct effects, between alfalfa shoot dry weight and leaf area (p=0.73), Ca2+ (p=1.02) and K+ (p=0.59) (Figure 3a). In Hamedani, there were positive significant path coefficients between dry weight per pot and K+ (p= 0.61) and Ca2+ (p=1.07), while a negative significant direct effect was found between alfalfa dry weight per pot and Na+ (p=-1.01) and K+ andCl- (p=-0.89) (Figure 3b). Many researchers have used path and correlation analyses in breeding programs of fodder oat (Avena sativa L.) (Bukhari et al. 2009), rice (Oryza sativa L.) (Rabiei et al. 2004), Cotton (Gossypium hirsutum L.) (Alishah et al. 2008) and wheat (Triticum aestivum L.) (Hui et al. 2008).
(a)
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(b)
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(c)
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(d)
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Figure 2. Effect of NaCl levels on K+ (a), Ca2+ (b), Na+ (c) and Cl- concentrations (d) of two alfalfa cultivars
(Means followed by similar letters are not significantly different using Duncan's multiple range tests, p ≤ 0.05).
Table 3. Correlation coefficients of measured traits for Bami cultivar
|
K+ |
Na + |
Ca++ |
Cl- |
Leaf area/pot |
Dry weight/pot |
Height |
RWC |
K+ |
1 |
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Na + |
-0.96** |
1 |
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Ca2+ |
0.96* |
-0.88* |
1 |
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Cl- |
-0.97** |
0.89** |
-0.99** |
1 |
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|
Leaf area/pot |
0.40* |
-0.35 |
0.39* |
-0.40 |
1 |
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|
Dry weight/pot |
0.97** |
-0.91** |
0.96** |
-0.96** |
0.50* |
1 |
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Height |
0.94* |
-0.95* |
0.88* |
-0.89* |
0.23* |
0.87** |
1 |
|
RWC |
0.98* |
-0.91* |
0.99* |
-0.99* |
0.45** |
0.98** |
0.90* |
1 |
* and ** significant at 0.05 and 0.01 probability level, respectively
RWC= Relative Water Content
In this study, there was a highly significant simple correlation of alfalfa dry weight with plant height in both cultivars (Tables 3 and 4), with Na+ in Bami cultivar (Table 3) and with K+ in Hamedani cultivar (Table 4). However, path coefficients were not significant for these traits in each cultivar (Figures 3 a and b), indicating that selection based on simple correlations may not be efficient as also reported by others (e.g., Samonte et al. 1997; Gravvois and Foyer 2002). The results of path and correlation analyses might be different since the two analyses evaluate different parameters (Campbell et al. 1980). Correlation measures mutual associations between variables, while path analysis shows relative importance of the association (Bukhari et al. 2009).
Generally, Bami had higher dry weight per pot, leaf area and plant height compared to Hamedani under salt stress conditions. Also, Bami with higher RWC had greater dry weight per pot than Hamedani. In addition, under salt stress levels greater than 75 mM L-1, vegetative characteristics of both cultivars decreased significantly. Bami was able to maintain lower amount of Na+ and Cl- and higher amount of K+ and Ca2+ than Hamedani. It appeared that Na+ had toxic and negative effect on plant growth and ion balance, especially in Hamedani cultivar, under high salt stress. It was also concluded that evaluation of alfalfa cultivars based on both path and simple correlation coefficients might be more reliable than simple correlation alone.
(a) (b)
P=0.73* |
LA |
LA |
Ca2+ |
Cl- |
P=0.61** |
P=1.07** |
P=-0.89** |
Ca2+ |
P=1.02** |
Dry weight |
|
Na+ |
P=-1.01** |
Dry weight |
K+ |
P=0.59** |
Figure 3. Diagram of path coefficients between dry weight and some measured traits in Bami
(a) and Hamedani (b) cultivars
Table 4. Correlation coefficients of measured traits for Hamedani cultivar
|
K+ |
Na + |
Ca++ |
Cl- |
Leaf area/pot |
Dry weight/pot |
Height |
RWC |
K+ |
1 |
|
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Na + |
-0.96** |
1 |
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Ca2+ |
0.92* |
-0.97** |
1 |
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Cl- |
-0.95* |
0.97* |
-0.95** |
1 |
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Leaf area/pot |
0.41** |
-0.38 |
0.38 |
-0.42 |
1 |
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Dry weight/pot |
0.91** |
-0.95** |
0.95** |
-0.98** |
0.46** |
1 |
|
|
Height |
0.92** |
-0.95* |
0.92* |
-0.95* |
0.30* |
0.91** |
1 |
|
RWC |
0.87* |
-0.90** |
0.91* |
-0.96* |
0.46** |
0.98* |
0.88* |
1 |
* and ** significant at 0.05 and 0.01 probability level, respectively
RWC= Relative Water Content