Physiological and Fluorescence Reaction of Four Rice Genotypes to Exogenous Application of IAA and Kinetin under Drought Stress

Original Article

Physiological and Fluorescence Reaction of Four Rice Genotypes to Exogenous Application of IAA and Kinetin under Drought Stress

Mostafa SALEHIFAR

*, Babak RABIEI

,

Mansour AFSHAR MOHAMMADIAN

, Jafar ASGHARI

1University of Guilan, Faculty of Science, Department of Biology, Rasht, Iran; [email protected] (*corresponding author); [email protected]

2University of Guilan, Faculty of Agricultural Science, Department of Agronomy and Plant Breeding, Rasht, Iran; [email protected]

3University of Guilan, Faculty of Agricultural Science, Department of Agronomy and Plant Breeding, Rasht, Iran; [email protected]

Abstract

To assess the effects of IAA and Kinetin plant growth regulators in order to improve the drought tolerance in rice seedlings (Oryza sativa L.), a factorial experiment was carried out based on complete randomized design with three replications. The experimental factors included different rice genotypes [‘Gharib’, ‘Khazar’, ‘Sepidrood’ and ‘IR83750 -131-1’ (‘IR83750’)], drought stress from 1 to 4 code of the Vergara coding system and control (normal irrigation) and growth regulators in three levels (IAA and Kinetin through foliar spraying and non-application as control). The results indicated, under normal irrigation condition together with IAA application, ‘IR83750’ rice genotype had the highest number of tillers and leaf greenness, with mean of 18.27 and 49.46, respectively. The highest amount of leaf relative water content (95.11%) was related to ‘Sepidrood’.

Under drought stress condition, the highest electrolyte leakage (36.59%) was observed in ‘Gharib’. In drought condition, the highest leaf drying score was related to ‘Gharib’ in both years, but the highest score of leaf rolling index (9) was observed in

‘Gharib’ and ‘Khazar’. The present findings showed that drought stress had harmful effects in all examined genotypes and the impact in susceptible genotypes (‘Gharib’ and ‘Khazar’) was more than ‘IR83750’ and ‘Sepidrood’. Application of growth regulators (IAA and Kin) improved growth conditions for of all genotypes. Therefore, using tolerant genotypes along with growth regulators can improve the rice growth traits.

Keywords: fluorescence, leaf rolling index, plant growth regulator, relative water content

Available online: www.notulaebiologicae.ro Print ISSN 2067-3205; Electronic 2067-3264 Not Sci Biol, 2017, 9(3):378-385. DOI: 10.15835/nsb9310091

AcademicPres Notulae Scientia Biologicae

Introduction

Abiotic stresses, such as drought and salinity are primary factors that limit crop and rice production (Farooq et al., 2009). Increasing environmental stresses (drought and salinity) to 2050 estimation, resulted in decreased >50%

arable area (Wang et al., 2010). Understanding plant responses to drought stress in physiology and morphology will be useful in improving the level of plants tolerance. Rice is the main cereal in Asia and it is providing more than 30%

of consumed calories in Asia. Many of world’s rice growing regions lack adequate irrigation and so drought frequently reduces the yield (Kamoshita et al., 2008). Since 1961, the world rice production has been doubled; however, demand for rice is increasing as well (Ke et al., 2009). Plant hormones regulate various aspects of plants to biotic and abiotic stresses (Peleg and Blumwald, 2011).

Phytohormones are essential for the ability of plants to

adapt to abiotic stresses by mediating a wide range of adaptive responses (Santner and Estelle, 2009; Wang et al., 2009). Although abscisic acid (ABA) has been introduced as hormone regarding to different stresses, the cytokinins (CK), brassinosteroids (BR) and auxin should not be ignored during environmental stresses (Peleg and Blumwald, 2011). IAA (Indole-3-acetic acid) is the carrier of an extended ranges of external and internal signals (Simon and Petrasek, 2011) and it can regulate the plant morphological modifications (Normanly, 2010). The balance of auxin in plants may play a crucial role in response to abiotic stresses (Wang et al., 2010).

In addition, cytokinins had been introduced as a regulator in response to water stress in transgenic tobacco and kinetin proved to be a critical factor in gene expression involving defense mechanisms against drought stress in rice (Xu et al., 2011). Cytokinin is an antagonist regulator regarding to ABA and the exposure of plants to water limiting conditions results in decreased level of cytokinins

Received: 16 May 2017. Received in revised form: 20 Aug 2017. Accepted: 02 Sep 2017. Published online: 30 Sep 2017.

Materials and Methods Study site and treatments

A factorial pot experiment was carried out based on completely randomized design with three factors and three replications in rain shelter of the Faculty of Agricultural Science, University of Guilan, Iran (49˚36´ E longitude, 37˚16´ N latitude and 7m altitude) for two years (2013 and 2014). Factors included four genotypes with differing drought tolerance (‘Gharib’, ‘Khazar’, ‘Sepidrood’ and

‘IR83750’ (‘IR 83750-131-1’)), drought stress in two levels (normal irrigation and drought from 1 to 4 code of Vergara coding system) and plant growth regulators (PGRs) in three levels (control (non-application), IAA and Kinetin).

‘Sepidrood’ and ‘IR83750’ have been selected as drought tolerant and ‘Gharib’ and ‘Khazar’ as sensitive crops (Abarshahr et al., 2011). The seeds were obtained from the Rice Research Institute, Rasht, Guilan, Iran. The seeds where surface sterilized with NaClO (2%) for 10 minutes and thoroughly washed with deionized water and then imbibed in deionized water for 12 h and then incubated for 72 h at 30 °C at relative humidity of 70% for germination.

Three seedlings of each genotypes were transplanted in perforated plastic pots (10 L) filled with 56% clay, 34% silt and 10% sand (Table 1) and fertilized with 50 N, 25 P and 25 K mg.mg^-1. Thereafter, 40 pots (120 plants, including five plants for each treatment) were considered for each replication. The level of water was maintained at 4 cm above the soil surface. For drought stress treatment, the water siphoned out (10 days after transplanting). After draining, soil water potential was at about -0.8 to -0.9 MPa (Sharma et al., 2005).

IAA (Indole-3-Acetic Acid, Fluka 279023-1187) and Kinetin (Sigma EC No. 208-382-2) were sprayed on the entire plants except control plants during the vegetative phase (20 days after transplanting) at the evening (after sunset). Each PGRs (5×10^-5 M) was sprayed separately at the rate of 50 ml per plant on the leaves for 2 days.

Traits measurement

Experimental data were recorded regarding the following traits: tiller number, days to leaf rolling, relative water content, SPAD, electrolyte leakage, leaf temperature, leaf drying score, leaf rolling index, drought recovery and fluorescence parameters. The developed leaves were randomly sampled from each treatment (20 days after drought stress) for chlorophyll measurement. Chlorophyll was measured from the middle section of the fully expanded leaves using a chlorophyll meter (SPAD-502 Minolta, Japan). The average of ten measurements was used for analysis. Number of day to leaf rolling of each plant was recorded as the number of days from the beginning of drought stress to the day when all leaves became rolled at noon. Ordinal traits were measured according to standard evaluation system of IRRI and are explained in Table 2. Five flag leaves were sampled at 10:00 AM (20 days after drought treatment) for RWC measurement. RWC was calculated using the following equation (Ritchie et al., 1990):

RWC (%) = Fw–Dw/Sw–Dw × 100 Fw: fresh weight of leaf immediately after sampling, Dw:

(Peleg and Blumwald, 2011). Phenotype consideration is one way to identify drought tolerant plants (Kamoshita et al., 2008). Just a few researches had been conducted on the impact of stress in vegetative phase of rice life cycle (Kamoshita et al., 2008). If stresses occur in vegetative stage, the plants have more or less time for recovery (Kamoshita et al., 2008). Pot experiments showed that rice plants in vegetative stage were able to restore a few weeks after facing drought stress (Kamoshita et al., 2004). It has been found that drought stress reduced the height and the number of rice tillers in the vegetative stage (Bocco et al., 2012). The number of tillers is the main differences among rice varieties facing drought stress (Kamoshita et al., 2004).

Leaf greenness plays an important role in leaf photosynthesis activity which is affected by water deficit (Blum, 2000). Degradation of chlorophylls under water deficit can decrease leaf greenness, which will lead to reducing net photosynthesis (Johnson et al., 2002; Guo et al., 2009). Water stress has been associated with high temperature stress that limits crop production (Peleg et al., 2011). Leaf temperature is mostly correlated with a plant stress level and it is a sensitive indicator of a plant water status and associated with leaf stomatal conductance (Jones, 1992). Lower stomatal conductance under drought condition brings a lower transpiration rate, i.e. lower latent heat flux released from the leaves and causes higher leaf temperature (Bocco et al., 2012). The cell membrane integrity under drought stress condition is a sign of control mechanism. If severe plasmolysis occurs during stress, the cell bilayer membranes integrity will collapse, and also lipid peroxidation reduces membrane stability (Jiang and Hung, 2001). Stability of cell membranes plays a critical role in dehydration condition (Xu et al., 2011).

Electrolyte leakage is an important parameter in estimating the stability of the cell membrane. In tolerant varieties, increasing the electrolyte leakage in stress conditions, depend on the extent of damages, is mostly reversible in recovery phase (Xu et al., 2013). Measurement of relative water content (RWC) in leaf is usually applied to indicate the water level in plant and this parameter is used to quantify water deficit in the leaf tissues (Yamasaki and Dillenburg, 1999). It has been reported that drought stress decrease the RWC (Guo et al., 2009; Xu et al., 2013).

Chlorophyll fluorescence is also one of the most important ways for assaying environmental stress impacts, and it has been suggested to determinate the tolerance of crops facing drought stress (Moffatt et al., 1990). Environmental stresses such as drought and low temperature induce plants stomatal closure and consequently reduce photosynthetic rate. This event can reduce the electron transfer rate, maximum fluorescence (Fm), variable fluorescence (Fv) and Fm/Fv ratio (Maxwell and Johnson, 2000; Baker and Rosenqvist, 2004).

Regarding the importance of drought stress in vegetative stage of different plant genotypes, this research has been carried out to examine some of the physiological and morphological traits of tolerant and sensitive rice genotypes under drought stress, as well as the effect of IAA and Kinetin in improving drought tolerance of the plants.

Salehifar M et al / Not Sci Biol, 2017, 9(3):378-385 380

leaf dried weight, Sw: leaf saturated weight after exposure to distilled water.

Electrolyte leakage was recorded using Molla et al.

(2006) method. Leaves were carefully washed and dried for 24 h at room temperature, and then 1 cm² of the leaves were putted in 10 ml distilled water. The electrical conductivity of the solution (EL1) was measured after slow stirring for 24 h at room temperature using EC-meter. The electrical conductivity after autoclave re-read (EL2). The percentage of the electrolyte leakage was calculated using the following equation (Molla et al., 2006):

EL (%) = (EL1/EL2)×100 Fluorescence parameters

Twenty days after drought treatment, five flag leaves from both irrigated and drought stressed for each genotypes were selected to measure chlorophyll fluorescence parameters and leaf temperature using a portable fluorescence meter (Mini-Pam, Walz, Germany).

Fluorescence parameters recorded included F0 which is the initial or minimal fluorescence, a measure of the stability of the light harvesting complex, Fm and Fv (Fv = Fm-F0) are the maximal and variable fluorescence, respectively, Fv/Fm represents the maximal quantum yield of PSII, which in turn, is highly correlated with the quantum yield of the net photosynthesis.

Statistical analysis

Year and year interaction with other factors had no significantly effects on studied traits in ANOVA table, there for the average of two years data was used for increasing the experimental accuracy for the present analysis. Analysis of variance was performed using SAS (version 9.2) and Minitab (version 14). Tukey test was used to test the

differences between the means. Percentage data were transformed into arcsin prior to the statistical analysis of data and back-transformed data are presented in the tables.

Results

The results showed that the highest numbers of tillers (18.27) was recorded in ‘IR83750’ and IAA application in normal irrigation. In stress conditions, the lowest number of tillers with a mean of 5.88 belonged to ‘Gharib’ and non- application of growth regulators (Table 3). In general, drought stress in vegetative stage decreased the number of tillers in all genotypes. Results indicated that under drought stress at vegetative stage, ‘Gharib’ and ‘Khazar’ showed days to leaf rolling after 9.3 and 9.7 days of drought stress, respectively, while ‘Sepidrood’ and ‘IR83750’ showed days to leaf rolling after 17.02 and 16.61 days, respectively (Fig.

1). The results showed that ‘Gharib’ and ‘Khazar’ reacted to drought stress earlier than ‘Sepidrood’ and ‘IR83750’. The growth regulators (IAA and Kin) application increased the number of days to leaf rolling (Fig. 1).

According to the current results, the lowest relative water content was observed in ‘Gharib’ under drought stress and without regulator application with a mean of 29.07%.

The highest relative water content (95.11%) was attained from ‘Sepidrood’ under normal irrigation along with IAA application. In general, in drought conditions, ‘Sepidrood’

and ‘IR83750’ had more RWC than ‘Gharib’ and ‘Khazar’.

Meanwhile, the results showed that the highest amount of leaf greenness belonged to ‘IR83750’ in normal irrigation along with an IAA application with a mean of 49.46, while the lowest amount belonged to ‘Gharib’ in drought stress condition without regulator application with a mean of 26.96 (Table 3). In drought stress condition, the highest electrolyte leakage was observed in ‘Gharib’ without regulators with a mean of 36.59% and the lowest electrolyte leakage (15.75%) in ‘IR83750’ along with IAA application and normal irrigation (Table 3).

In drought conditions, the leaves of ‘Gharib’ genotype had the highest temperature (36.36 °C) without the application of regulators, while in normal irrigation, the lowest temperature (29.29 °C) belonged to ‘Khazar’,

‘Gharib’ and ‘Sepidrood’ along with the kinetin application (Table 3). Non-parametric analysis showed that there was a significant difference among treatments (Table 4). In drought conditions, the highest drying score of leaf (rank 7) belonged to ‘Gharib’ without regulator application (Table 5). ‘Gharib’ and ‘Khazar’ had the highest leaf rolling index (rank 9) as well as the highest DRR (drought recovery) without growth regulator application (Table 5). The results showed that ‘IR83750’ and ‘Sepidood’ compensated lots of

Table 1. Soil properties of the present study

Characteristics Size

pH 6.1

EC 138.4 µs.m

Soil texture Clay

Nitrogen 0.216%

Phosphorus 15.2 part per million

Potassium 21 part per million

Dry bulk density 1.1

Particle density 2.83

Organic material 5.66

Porosity 65.75

Carbon 3.28%

Table 2. Description of the ordinal traits used in current study

Score Ordinal traits

Leaf drying score Leaf rolling index Drought recovery

0 no symptoms leaves healthy -

1 Just the leaves tip burned leaves starting to fold (shallow V-shape) 90 to 100%

3 more than a quarter of the most leaves leaves folding (deep V-shape) 70 to 89%

5 one-fifth to one-half of all leaves burned leaves fully cupped (U-shape) 40 to 69%

7 more than two-thirds of all the leaves are burned leaf margins touching (O-shape) 20 to 39%

9 the plant is dead leaves tightly rolled 0 to 19%

Fig. 1. Effects of the treatments on day to leaf rolling different, using Tukey Test. IAA: Indole

Fig. 2. Effects of the treatments on significantly different, using Tukey Test.

Table 3. Mean comparisons of the effect of genotype×stress×PGRs interaction on the studied trai

Genotypes Stress

‘IR83750’

Normal

Drought

‘Sepidrood’

Normal

Drought

‘Gharib’

Normal

Drought

‘Khazar’

Normal

Drought

Means in each column followed by similar letter(s) are not significa

temperature, EL: Electrolyte leakage, Fm: maximum fluorescence, Fv: variable fluo

Fig. 1. Effects of the treatments on day to leaf rolling different, using Tukey Test. IAA: Indole

. Effects of the treatments on significantly different, using Tukey Test.

Table 3. Mean comparisons of the effect of genotype×stress×PGRs interaction on the studied trai

Stress PGRs Normal

Non-PGR IAA Kin Drought

Non-PGR IAA Kin Normal

Non-PGR IAA Kin Drought

Non-PGR IAA Kin Normal

Non-PGR IAA Kin Drought

Non-PGR IAA Kin Normal

Non-PGR IAA Kin Drought

Non-PGR IAA Kin

Means in each column followed by similar letter(s) are not significa

temperature, EL: Electrolyte leakage, Fm: maximum fluorescence, Fv: variable fluo

Fig. 1. Effects of the treatments on day to leaf rolling different, using Tukey Test. IAA: Indole-3-

. Effects of the treatments on minimum fluorescence (F0) (Means in each b significantly different, using Tukey Test. IAA: Indole

Table 3. Mean comparisons of the effect of genotype×stress×PGRs interaction on the studied trai

Tiller No.

PGR 17.05^a-d 18.27^a 17.88^ab PGR 11.8^h-k

13.5^f-i 13.27^f-j PGR 16.27^a-e 17.86^ab 17.39^a-c PGR 11.27^i-k 15.08^c-f 13.66^f-h PGR 12.05^g-k 14.87^d-f 14.2^e-g

PGR 5.88^l

10.5^k 10.11^k PGR 15.61^b-f

16.83^a-^d 16.30^a-e PGR 6.5^l

11.33^h-k 11.11^jk

Means in each column followed by similar letter(s) are not significa

temperature, EL: Electrolyte leakage, Fm: maximum fluorescence, Fv: variable fluo

Fig. 1. Effects of the treatments on day to leaf rolling

-Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

minimum fluorescence (F0) (Means in each b

IAA: Indole-3-Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

Table 3. Mean comparisons of the effect of genotype×stress×PGRs interaction on the studied trai

RWC (%) 88.28^e 92.2^b-d 91.15^b-e 38.16^j 48.06^gh 45.96^h 91.15^b-e 95.11^a 92.78^a-c 40.6ⁱ 51.26^f 50.19^fg 89.2^de 93.39^ab 91.8^b-d 29.7^j 38.91ⁱ 38.16ⁱ 90.03^c-e 93.06^a-c 92.28^a-d 32.3^j 40.96ⁱ 40.06ⁱ

Means in each column followed by similar letter(s) are not significantly different, using Tukey Test.

temperature, EL: Electrolyte leakage, Fm: maximum fluorescence, Fv: variable fluo

(means in each

Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

minimum fluorescence (F0) (Means in each b

Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

Table 3. Mean comparisons of the effect of genotype×stress×PGRs interaction on the studied trai

SPAD LT (°C)

46.46^a-d 30.34 49.46^a 29.32 48.26^ab 30.29 36.76^ij 32.34 39.16^f-i 31.33 38.71^f-i 31.29 41.64^ef 30.3^h 45.9^b-d 29.32 44.21^de 29.29 37.46^h-j 31.84 40.01^f-h 30.33 39.66^f-i 31.29 40.81^fg 30.3^h 47.11^a-d 29.3ⁱ 44.61^c-e 29.29 26.96^l 36.36 34.41^jk 33.3^d 33.66^k 34.29 45.16^b-d 30.34 47.41^a-c 29.3ⁱ 46.9^a-d 29.29 34.41^jk 35.35 38.61^f-i 33.3^d 37.86^g-i 34.29 ntly different, using Tukey Test.

temperature, EL: Electrolyte leakage, Fm: maximum fluorescence, Fv: variable fluorescence, Fv/Fm: quantum yield

eans in each bar followed by similar letter(s) are not significantly Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

minimum fluorescence (F0) (Means in each b

Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

Table 3. Mean comparisons of the effect of genotype×stress×PGRs interaction on the studied traits in the rice genotypes

LT (°C) EL (%) 30.34^h 18.56^g 29.32ⁱ 15.75^h 30.29^h 16.55^gh 32.34^e 30.69^bc 31.33^g 26.59^ef 31.29^g 27.09^ef

h 17.81^gh

29.32ⁱ 16.09^gh 29.29ⁱ 16.56^gh 31.84^f 31.54^b 30.33^h 25.79^f 31.29^g 27.59^d-f

h 18.33^g

17.61^gh 29.29ⁱ 18.04^gh 36.36^a 36.59^a

d 28.69^c-e

34.29^c 29.89^b-d 30.34^h 17.68^gh

16.58^gh 29.29ⁱ 16.88^gh 35.35^b 31.44^b

d 27.19^ef

34.29^c 27.69^d-f ntly different, using Tukey Test. RWC:

rescence, Fv/Fm: quantum yield

bar followed by similar letter(s) are not significantly Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

minimum fluorescence (F0) (Means in each bar followed by similar letter(s) are not Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

ts in the rice genotypes

Fm (mV) 1978.5^o 2092^l 2077.8^m 1461.8^r 1842.3^p 1734.6^q 2421.5^h 2530.3^e 2493.3^g 2011ⁿ 2353.8ⁱ 2322^j 2508^f 2842.5^a 2804^b 1224.3^w 1443.5^s 1405.6^u 2255.8^k 2627^c 2550.8^d 1223^w 1423^t 1377.3^v

RWC: relative water content, SPAD: leaf greenness, LT: leaf rescence, Fv/Fm: quantum yield

bar followed by similar letter(s) are not significantly Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

ar followed by similar letter(s) are not Acetic Acid, Kin: Kinetin, PGR: plant growth regulator)

ts in the rice genotypes

Fv (mV) 1525.5ⁿ 1655.1^l 1638^m 985.3^r 1382.3^p 1272^q 1923.5^h 2049.2^f 2008.7^g 1488.91^o 1848.4ⁱ 1813.9^j 2055.6^e 2408^a 2366.3^b 701.2^v 937.41^s 896.9^t 1800.3^k 2189^c 2109.8^d 679.5^w 896.4^t 847.7^u

relative water content, SPAD: leaf greenness, LT: leaf

bar followed by similar letter(s) are not significantly

ar followed by similar letter(s) are not

Fv/Fm 0.771ⁿ 0.791^j 0.788^k 0.674^r 0.750^o 0.733^q 0.749ⁱ 0.809^f 0.805^g 0.740^p 0.785^l 0.781^m 0.819^e 0.847^a 0.843^b 0.572^w 0.649^s 0.638^t 0.798^h 0.833^c 0.827^d 0.555^x 0.629^u 0.615^v relative water content, SPAD: leaf greenness, LT: leaf

bar followed by similar letter(s) are not significantly

ar followed by similar letter(s) are not

relative water content, SPAD: leaf greenness, LT: leaf

Salehifar M et al / Not Sci Biol, 2017, 9(3):378-385 382

Table 4. Chi-square amount in Freedman’s Non-parametric test for ordinal measurement traits

Degrees of freedom Leaf drying score Leaf rolling index Drought recovery

Chi-square 47 121.21** 121.47** 99.63**

**, significant at 1% probability level

Table 5. Means of ordinal measurement traits in all examined genotypes under drought stress

Year Genotypes Stress PGRs^* LDS LRI DRR

2013

‘IR83750’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 3 5 3

IAA 1 1.04 1

Kin 1 3 1.12

‘Sepidrood’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 3 5.08 3

IAA 1 3 1

Kin 1 3 1.91

‘Gharib’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 7 9 7

IAA 4.8 5.08 5

Kin 5 5 4.95

‘Khazar’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 5.08 9 7

IAA 3 5.08 4.91

Kin 4.89 5.08 5

2014

‘IR83750’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 3 5 3

IAA 1 2.7 1

Kin 1 3 1

‘Sepidrood’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 3 6.7 3

IAA 1 1.08 1

Kin 2.02 1.04 1.16

‘Gharib’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 7 9 7

IAA 3.04 5.08 5

Kin 5 5 5

‘Khazar’

Normal

Non-PGR 0 0 1

IAA 0 0 1

Kin 0 0 1

Drought

Non-PGR 5 9 7

IAA 3 7 4.91

Kin 3.08 7 5

PGRs: plant growth regulators, LDS: leaf drying score, LRI: leaf rolling index, DRR: drought recovery

harmful effects due to drought stress, and 10 days before re- watering returned almost at normal growing conditions.

These genotypes, 10 days after the re-watering acquired 70 to 89% of normal growth condition, while, ‘Gharib’ and

‘Khazar’ achieved only 20 to 39% of normal growth condition. The above results were the same for both the experimental years.

Additionally, the results indicated that F0 was higher in non-application of regulators than the other values (Fig. 2).

In normal irrigation, ‘Gharib’ had the highest Fm (2,842.5 mV) along with IAA application. In drought condition, the lowest Fm (1,223 mV) belonged to ‘Khazar’ without regulator application (Table 3). In normal irrigation, the highest Fv (2,408 mV) was acquired from ‘Gharib’ and IAA application (Table 3). The results showed that in normal irrigation, photochemical efficiency of photosystem II with a mean of 0.847 belonged to ‘Gharib’ along with the application of IAA (Table 3).

Discussion

Drought stress due to the reduction of water uptake leads to decreased plant’s ability to anatomical and physiological development. According to the current research, drought stress decreased the number of tillers about 50% in ‘Gharib’ and ‘Khazar’ while in ‘IR83750’ the reduction was about 3%. Decreasing the number of tillers in

‘Sepidrood’ and ‘IR83750’ was less than for ‘Gharib’ and

‘Khazar’. These genotypes maintained their water content probably via faster stomatal closure or more water absorption than the other two examined genotypes. These results are in agreement with the findings showing that drought stress decrease the number of tillers (Kamoshita et al., 2004; Bocco et al., 2012).

Although stress reduced resources available for rice plants, but according to the current results, the application of IAA and Kin through improving stress tolerance of the plants increased the number of tillers in all genotypes. Liu et al. (2001) also reported that the regulator of Kin had increased the number of tillers in rice. The first response to drought in rice is leaf rolling (Sie et al., 2008), which is a consequence of turgor loss of the plant (Zinolabedin et al., 2008). Rice roll leaves to maintain a favorable RWC under drought. The genotypes with high leaf rolling ability or with high leaf water maintenance potential during drought will be able to yield better than sensitive genotypes (Fukai and Cooper, 2002). The high RWC and low EL in ‘Sepidrood’

and ‘IR83750’ (tolerant to drought) confirmed this statement. The results indicated that under drought stress, both tolerant and sensitive genotypes showed leaf rolling.

Thus, leaf rolling, RWC and EL are good indicators of drought stress level.

It has been found that the application of IAA and Kin decreased the leaf rolling in rice (Yue et al., 2006). Their exogenous application provides an approach to control the stress. Also, reduction in the endogenous kinetin under stress conditions points towards the possibility that kinetin levels could be a limiting factor under stress conditions.

These regulators improved the physiological functions of the plants. The regulators through increasing relative water content decreased the leaf rolling. Fast leaf rolling created by

the lack of adequate cellular water content, is a reaction of sensitive plants to stress. With normal irrigation, leaf rolling index was zero for all genotypes, but in drought conditions in the non application of the regulators, leaf rolling index was at least 5 (Table 5). Thus, it can be concluded that leaf rolling index of 5 can be considered for the occurrence of drought stress in rice. Probably, inability to control the stomatal conductance could lead to water loss and reduction of leaf relative water content in rice. The genotypes that are more tolerant against stress can better manage stress by controlling their stomatal conductance.

Reducing the leaf relative water content during stress can decrease photosynthesis and membrane stability in rice (Deivanai et al., 2010). In normal irrigation conditions,

‘Gharib’ had leaf RWC with a mean of 89.2% without exogenous application of the regulators, while in drought stress it reached to 29.7% (about 77% of reduction in RWC) without the application of the regulators. But, this reduction in ‘Sepidrood’ was about 55% (Table 3). In other word, ‘Sepidrood’ and ‘IR83750’ could manage better drought stress than ‘Gharib’ and ‘Khazar’, losing less water.

This effect has been previously reported (Zulkarnain et al., 2009; Abarshahr et al., 2011). The application of IAA and Kin in all examined genotypes led to increasing leaf RWC.

Probably, the positive impact of the two growth regulators in the plant’s roots led to increased water uptake from the soil (Zhu et al., 2011). Increasing RWC through the application of IAA and Kin created normal conditions for the plants, improving growth in these conditions. In general, the application of IAA and Kin play an important role in plant tolerance facing drought stress. Increasing RWC by application of IAA in ‘IR83750’, ‘Sepidrood’,

‘Gharib’ and ‘Khazar’ were 30, 26.5, 31 and 29%, respectively. Although, the growth regulators could not create full recovery for the plants, they could recover partial incoming damages. Other researchers have also reported that the application of IAA and Kin improved plant growth condition in drought stress (Yue et al., 2006; Ghorbani et al., 2011). In drought stress condition, ‘Sepidrood’ and

‘IR83750’ had more greener than the sensitive genotypes (‘Gharib’ and ‘Khazar’). Bocco et al. (2012) reported the genotypes that have a constant photosynthetic activity or maintained their leaf greenness under drought stress can be assumed as more or less tolerant under drought stress. The present results confirm this statement. The application of IAA and Kin had positive effect on the leaf greenness improving the plant growth. This result is in agreement with the findings of Normanly (2010).

Apparently, drought stress, through the destruction of the cell membrane phospholipids, increased electrolyte leakage in all the examined genotypes. The tolerant genotypes (‘IR83750’ and ‘Sepidrood’) had lower electrolyte leakage than the sensitive genotypes (‘Khazar’ and ‘Gharib’).

‘Sepidrood’ and ‘IR83750’ with lower electrolyte leakage showed greater tolerance against membrane destruction than the other two examined genotypes. The present results were consistent with the results of Xu et al. (2013). The evaluation of the leaf RWC and EL can indicate the level of drought effect on the plants, in addition to the morphological characteristics such as leaf rolling. The application of growth regulators through increasing RWC and controlling stomatal conductance decreased leaf

Salehifar M et al / Not Sci Biol, 2017, 9(3):378-385

uptake and photosynthesis (Maisura et al., 2014). In general, the current study showed that ‘IR83750’ and ‘Sepidrood’

were more tolerant than ‘Gharib’ and ‘Khazar’, and the application of IAA and Kin improved the drought stress tolerance in all studied genotypes.

Conclusions

The hereby study showed that ‘IR83750’and

‘Sepidrood’ were more tolerant to drought stress than

‘Gharib’ and ‘Khazar’ genotype, and the application of IAA and Kin improved the drought stress tolerance in all studied genotypes.

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