Introduction

Abiotic stresses, such as heavy metals1, water deficit2,3, salinity4,5, temperature6, and flood7 are some of the main factors limiting crop growth and development. Among these stresses, drought, and salinity are the most critical and threaten the production of agricultural products particularly in arid and semi-arid regions, where soil nutrient and organic matter contents leading to physical instability8. Both stresses alter many physiological processes and morphological attributes related to plant growth and development9,10. Salinity and drought stresses in different plant species have been studied in most cases as separate stresses11,12,13,14. However, under natural conditions, crop plants face a combination of salinity and drought stresses15. Various researches on the response of plants to combined stresses have shown that the plant responses to a combination of stresses are unique and cannot be directly deduced from the response to each of the stresses individually16,17.

Photosynthetic pigments and carotenoids are critical for photosynthesis18 but a number of biotic and abiotic stresses adversely affect plant photosynthesis and reduce crop yields19. The reduction in photosynthetic pigments can be caused through the reduction of the leaf surface area, which is responsible for receiving light and achieving photosynthesis20. Chlorophyll and carotenoids help to neutralize singlet oxygen radicals, and their quantity can indicate plant's relative stress tolerance21. For instance, Ahmed et al.22 reported that plants grown under combined salinity and drought stress showed a significant decrease in chlorophyll and carotenoids, along with a decrease in photosynthesis, stomatal density, and transpiration rate.

Plants use osmotic regulation to cope with abiotic stresses. In this regard, plant amasses osmolytes to protect the processes inside their cells against disturbing environmental changes23. Proline and soluble sugars help to remove free radicals from cells and reduce the effects of stress on physiological functions by increasing the osmotic concentration inside the cell24. Increasing the intensity of drought and salinity stresses considerably increased leaf proline and total soluble sugars content, but this increment was more significant for salinity on wheat plants21. Previous studies have identified the role of proline and soluble sugars in improving tolerance against salinity and drought25,26,27.

There is an evidence indicating that sustained root development is effective in the tolerance of the plant to salinity and drought stresses28. Salinity stress limits main root elongation and decreases fresh and dry weight of the roots in barley genotypes29. Root biomass increases in dry soil compared to soils with regular irrigation30. The leaves determine the interception of radiation and are the main photosynthetic organs. One of the first apparent effects of salinity stress is leaf growth restriction31. Leaf area decreased under salinity stress in durum wheat genotypes32. High salt concentrations can cause a significant reduction in net assimilation rate (NAR)33 and leaf area index (LAI)34. The initial increase of LAI in wheat was associated with an increase in the number of leaves and photosynthetic leaf area at tillering. Leaf aging from the base of the stem upwards may be the reason for the decrease in leaf area index after reaching the peak. A decrease in NAR may be due to premature aging of the leaves. Under water stress conditions, the decrease in crop growth rate (CGR) may be due to a decrease in LAI and NAR. The reduction of dry matter accumulation and relative growth rate (RGR) in water deficit conditions can result from reduced CGR35. For instance, El-Hendawy et al.36 reported a significant reduction in NAR, while other studies found that drought stress caused significant reductions in LAI37.

Cereals are a primary source of food for human health and animal feed around the world37. Triticale is an annual cool-season C3 crop of the family Poaceae, which is an intergeneric cross between the male parent rye (Secale ssp.) and the female parent wheat (Triticum ssp.)38. Inclusion of triticale in crop rotation helps to reduce soil pests39, absorbs soil nutrients, and leads to a reduction in nutrient leaching40. In addition, the extensive root system of triticale leads to binding of soil particles41. Triticale also provides food for humans and feed for livestock, including grazed or stored forage, silage, and green fodder. The development of high-yield and stable triticale cultivars can be due to resistance to biological and abiotic stresses, which led to an increase in triticale cultivation areas throughout the world40.

As with other crop plants, drought and salinity stresses also pose severe threats to sustainable triticale production. Studies on the combined effects of drought and salinity stresses on triticale are lacking. Therefore, this study was conducted to investigate the effects of salinity, water deficit, and their combination on photosynthetic pigments, growth indices, and the yield of triticale. For this study, it was hypothesized that the accumulation of soluble sugars and soluble proline at different phenological stages can help to improve tolerance against abiotic stresses including drought and salinity.

Materials and methods

The experiment was conducted in the research greenhouse, with air temperature range of 26–30 °C during the day and 17–19 °C during the night, and the relative humidity range of 57–62%, of the Faculty of Agriculture of Urmia University, located at (Lat44° 59′ 12.42″ E and long37° 39′ 24.82″ N and 1270.55 above sea level), Urmia, Iran. A factorial experiment was done in 3 blocks. The characteristics of the mixture of soil (2:1:1) used in the experiments are given in Table 1.

Table 1 Characteristics of the soil used in the experiment. Electrical conductivity (EC), Organic carbon (O.C), Organic Matter (O.M), Field capacity (FC), and Permanent wilting point (PWP).
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Seeds of triticale cultivar Giannillo-92 were obtained from Seed and Plant Improvement Institute, Karaj, Iran. The Seed and Plant Improvement Institute declared that seeds of triticale were obtained under national and international guidelines and the seeds were prepared under the supervision and permission of University of Urmia and all authors comply with all the local and national guidelines. The voucher specimens of the plants were deposited at the herbarium of Department of Horticultural Sciences, University of Urmia, and Urmia, Iran. Seeds were sown (40 seeds per pot) in pots (12 kg with a diameter of 25 × 25 cm2) containing a mixture of soil, sand and manure (2:1:1). All of the pots were irrigated immediately after planting. In the following stages of irrigation, the humidity of the pot was kept at the field capacity. For this purpose, holes were made in the pots, and excess water was removed from the pots through drainage. After seedling establishment, 18 plants were kept in each pot. Salinity stress levels included no salinity (control or S0), 50 mM NaCl (moderate salinity or S1), and 100 mM NaCl (severe salinity or S2). Salinity stress was applied from the seedling stage (5-leaf stage) and water deficit stress was applied after reaching the mentioned phenological stages by irrigation disruption at that stage. The growth stages of triticale were as germination, stem elongation, heading stage (as the stem continues to elongate, the head is pushed out of the flag leaf sheath), the flowering (begins shortly after the head has fully emerged and lasts 3–5 days, starting slightly above the middle portion of the head), and the kernel-extending stage (after the Feekes Stage Flowering is complete at the base of the spike, the remaining growth stages refer to the ripeness or maturity of the “kernel” stages). According to the growth stages of triticale, 4 levels were selected for applying water deficit stress, including regular irrigation (control or D0), as well as irrigation disruption (drought stress [D1]) in heading (D1H), flowering (D1F), and kernel extension (D1K). The experiment started on 14 July 2018 and was harvested on 03 December 2018. Flag leaf sampling was done at the end of each stage. To measure some traits including leaf free proline and photosynthetic pigments in the laboratory, the samples were kept at − 80 °C after harvesting for measuring traits.

Leaf free proline

Leaf free proline contents were determined using the ninhydrin reaction method by Bates, et al.42. Frozen leaf tissues (0.2 g) were homogenized with 5 ml of 3% sulphosalicylic acid and then centrifuged at 6.000×g for 7 min at 25 °C. The supernatant was taken, ninhydrin reagent and glacial acetic acid were added to that. The reaction mixture was incubated at 100 °C in a water bath. The reaction mixture was extracted with 2 ml of toluene and the absorbance was measured at 520 nm against toluene as a blank using a spectrophotometer. The l-proline standard curve was used to calculate the proline content, to prepare standard proline solutions (l-Proline: Mw = 115.13 g), concentrations of 6400, 100, 80, 60, 50, 40, 30, 20, 10, and zero (µmol L−1) were used. The amount of absorption in plant samples was converted to proline concentration through the regression equation and was expressed as µmol g−1 FW.

Soluble sugars

The soluble sugars were determined following the method of Yemm and Willis43. Anthrone (0.1 g) was dissolved in 45 ml of 95% (v/v) sulfuric acid to prepare the anthrone reagent. Then 50 µl of alcoholic extract + 950 µl of deionized water (final volume 1000 µl) were prepared, stored in an ice bath and 2000 µl of cold anthrone solution was added to the reaction mixture. The prepared solution was incubated for 3 min at 100 °C. After cooling, the amount of total soluble sugar was read by absorbance at 630 nm using glucose as a standard. To prepare standard solutions of soluble sugar (d-glucose: Mw = 180.16 g), concentrations of 1000, 750, 500, 250, 125 and 0 (µmol L−1) were used and the amount of soluble sugar was calculated using the regression equation and was expressed as mM g−1 DW.

Photosynthetic pigments

To measure photosynthetic pigments, the leaf tissue was weighed in the amount of 0.1 g and homogenized with 20 ml of 80% acetone and then centrifuged at 5000g for 10 min at 4 °C. The absorbance of the supernatant after centrifugation was read using a spectrophotometer at 663, 645 and 470 nm. The content of chlorophyll and carotenoids were calculated based on Arnon44. The units were calculated based on (mg g-1FW), and were calculated using the following Eqs. (1–4):

$$\mathrm{Chlorophyll\,a }= (19.3 \times \mathrm{ A}663 - 0.86 \times \mathrm{ A}645)\mathrm{ V}/100\mathrm{ W},$$
(1)
$$\mathrm{Chlorophyll\,b }= (19.3 \times \mathrm{ A}645 - 3.6 \times \mathrm{ A}663)\mathrm{ V}/100\mathrm{ W},$$
(2)
$$\mathrm{Total\,Chlorophyll }=\mathrm{ Chlorophyll\,a }+\mathrm{ Chlorophyll\,b},$$
(3)
$$\mathrm{Carotenoid }= (1000\times \mathrm{A}470 - 1.82\mathrm{ Cha }- 85.02\mathrm{ Chb}) /198,$$
(4)

Morphological traits

Plant height, root dry weight and grain yield

Plant height (in cm) was measured immediately after sampling by using a ruler. For measuring root dry weight (in g), root samples were placed in an oven at 75 °C for 72 h, and then their dry weight was measured. The spikes were threshed to separate grains, and grain yield (in g per plant) was recorded after air drying.

Growth analysis

In order to estimate the dry matter accumulation trend, two plants were randomly selected in each treatment combination and harvested from the soil surface. Then their dry weight and leaf area were determined and the mean values recorded. Sampling intervals were seven days at different stages of triticale growth (72, 79, 86, 93, 100 and 107 days after planting). To obtain dry matter weight, the samples were dried in an oven at 70 ± 5 °C for 72 h until reaching a constant weight. Leaf area was measured using a leaf area meter. Leaf area index was determined by dividing leaf area over the ground area. The total dry matter (TDM), LAI, RGR, CGR and NAR, were determined using Eqs. (5–9) 45,46.

$${\mathrm{TDM}=\mathrm{e}}^{(\mathrm{a}2+\mathrm{b}2\mathrm{t}+\mathrm{c}2{\mathrm{t}}^{2})},$$
(5)
$$\mathrm{LAI}={\mathrm{e}}^{(\mathrm{at}+\mathrm{b}1\mathrm{t}+\mathrm{c}1{\mathrm{t}}^{2})},$$
(6)
$$\mathrm{RGR}=\mathrm{b}+2\mathrm{ct}+3{\mathrm{dt}}^{2},$$
(7)
$$\mathrm{CGR}=\mathrm{NAR }\times \mathrm{ LAI},$$
(8)
$$\mathrm{NAR}=\left(\mathrm{b}2+2\mathrm{c}2\mathrm{t}\right){\mathrm{e}}^{\left(\mathrm{a}2-\mathrm{a}1\right)+\left(\mathrm{b}2-\mathrm{b}1\right)\mathrm{t}+\left(\mathrm{c}2-\mathrm{c}1\right)\mathrm{t}2},$$
(9)

where, t is the time interval of sampling and a, b, c and d are coefficients of the equations.

Relative water content and electrolyte leakage

Relative water contents (RWC) (%), and electrolyte leakage (EL) (%) of leaf were measured at 6 stages of triticale growth. RWC was measured using leaf discs obtained from a young leaf of each plant through the following formula47.

$$RWC=((FW-DW)/(TW-DW))\times 10,$$
(10)

where, FW is the fresh weight, DW is the dry weight, and TW is the turgid weight.

EL was calculated by48:

$$EL=L_{1}/L_{2}\times 100,$$
(11)

where, L1 is electric conduction of leaf after putting in the deionized water at 25 °C and L2 is the electric conduction of the autoclaved samples.

Statistical analysis

The effect of Salinity (3 levels: Control, Moderate, and Severe) and Drought (4 levels: Control, D1F, D1H, and D1K) on morphological (plant height, root dry weight, and grain yield) and physiological (proline, soluble sugar, chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid) response variables was determined using a 3 × 4 factorial design in 3 blocks. However, for LAI, TDM, RGR, CGR, NAR, RWC, and EL response variables obtained from the same design (3 × 4 factorial in 3 blocks), since their values were measured repeatedly on Day 72, 79, 86, 93, 100 and 107 after planting, Repeated Measures Analysis (RMA) was completed to determine the main and interaction effects of Salinity and Drought, and how these effects evolved during these measurement days. Akaike Information Criterion (AIC)49 was used to determine the most appropriate covariance structure (the covariance structure that gives AIC closest to zero) to be Compound Symmetry (CS). The analysis of both the factorial design and the RMA was completed using the Mixed Procedure of SAS50, and further multiple means comparison (MMC) was completed for significant (p-value < 0.05) effects by comparing the least squares means of the corresponding treatment combinations. When an interaction effect is significant, the significance of the main effects and interaction effects contained in it is ignored because doing MMC on them would give misleading results. Therefore, MMC was conducted to compare the means of the treatment combinations of the highest order significant interaction effect or the main effect(s) when there is no significant interaction effect. Letter groupings were generated using a 5% level of significance for the main effects and using a 1% level of significance for interaction effects to protect Type I experiment wise error rate from over inflation. For each response variable, the validity of model assumptions (normal distribution and constant variance assumptions on the error terms) was verified by examining the residuals as described in Montgomery51.

Results

As shown in Tables 2 and 3, the analysis of variance (ANOVA) results reveal that water deficit and salinity stress had significant effects on all morphological and physiological traits, and the RMA results shown in Table 4 indicate that these effects evolve during the growing stages.

Table 2 ANOVA p-values that show the significance of the main and interaction effects of Salinity and Drought on morphological (Plant Height, Root Dry Weight, and Grain Yield) variables. Significant effects that require multiple means comparison are shown in bold.
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Table 3 ANOVA p-values that show the significance of the main and interaction effects of Salinity and Drought on physiological (Proline, Soluble sugar, Chlorophyll a, Chlorophyll b, Total Chlorophyll, and Carotenoid) variables. Significant effects that require multiple means comparison are shown in bold.
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Table 4 ANOVA p-values that show the significance of the main and interaction effects of Salinity, Drought, and Day on LAI, TDM, RGR, CGR, NAR, RWC, and EL. Significant effects that require multiple means comparison are shown in bold.
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Proline and soluble sugars content

Salinity and drought stresses had significant interaction effect on the proline and soluble sugar content of triticale (Table 3). The combined effect of drought and severe salinity stress was more pronounced in increasing proline and soluble sugar contents (Table 5). The combined effects of salinity and drought stress also showed the highest content of proline obtained in sever salinity, drought stress at the flowering stage (S2D1F). The lowest content of proline was achieved in the control salinity and drought stress levels at the heading (S0D0H). The co-occurrence of 50 mM NaCl and drought stress (S1D1) at the heading (H), flowering (F), and kernel extension (K) stages increased the proline content (237.1%, 310.3%, and 293.3%, respectively) in comparison with the control (S0D0) of the same stages (Table 5). Also, the simultaneous application of 100 mM NaCl and water scarcity stress (S2D1) at the heading, flowering, and kernel extension stages increased proline content (316.4%, 381.0%, and 332.6%, respectively) compared to the control (S0D0) at the same stages (Table 5).

Table 5 Mean proline (µM g−1FW), soluble sugar (mM g−1DW), chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid (mg g−1FW) values obtained from the 18 combinations of salinity and drought. Within each column, means sharing the same letter are not significantly different from each other.
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The highest soluble sugar content was obtained in S2D1F (Table 5). In contrast, the lowest content was observed in S0D0H (Table 5). The coupling of 50 mM salinity and drought stress (S1D1) increased soluble sugar content by 160.7% at the heading stage (D1H), 201.9% at the flowering stage (D1F), and 169.7% at the kernel extension stage (D1K) compared with the normal condition (S0D0) of the same stages. The coexistence of 100 mM NaCl and drought stress (S2D1) enhanced the soluble sugars content by 182.2% at heading, 254.5% at the flowering and 202.5% at the kernel extension stage compared to the normal condition (S0D0) of the same stages (Table 5).

Photosynthetic pigments

The photosynthetic pigments of leaves were significantly affected by NaCl, drought stress, and their combination (Table 3). The combination of these stresses increased the content of carotenoids (Table 5). However, chlorophyll a, b, and total chlorophyll content were reduced when salinity and water deficit stresses were applied individually or in combination (Table 5).

The highest chlorophyll a content was achieved in S0D0H, S0D0F, and S0D0K, respectively. Also, the maximum chlorophyll b (6.08 mg g−1 FW) and total chlorophyll (33.1 mg g−1 FW) were obtained in S0D0H (Table 5). The lowest content of these traits (13.5, 1.60, and 15.1 mM min−1, respectively) was attained in S2D1F (Table 5). On the other hand, the simultaneous application of 50 mM NaCl and water scarcity stress (S1D1) at the heading, flowering, and kernel extension stages decreased chlorophyll a (20.74%, 34.19%, and 21.37%, respectively), chlorophyll b (19.08%, 34.25%, and 22.53%, respectively) and total chlorophyll (20.54%, 34.36%, and 21.41%, respectively) compared to the control (S0D0) at the same stages (Table 5). Also, the simultaneous of severe salinity + water scarcity stress (S2D1) decreased chlorophyll a, b and total chlorophyll contents by 30.0%, 35.53%, and 31.12% at the heading, by 49.63%, 70.53% and 53.25% at the flowering and 40.08%, 43.08% and 40.58% at the kernel extension stages of, respectively in comparison with the normal condition (S0D0) of each stage (Table 5).

Based on our results the maximum carotenoid content was measured in S2D1F, (Table 5). The lowest value (1.04 and 1.20 mg g−1 FW) was obtained at S0D0K and S1D0H treatment, respectively (Table 5). In this regard, there was an increase of about 70.18%, 131.45%, and 143.27% in carotenoid content, under the combination of water deficit and 50 mM NaCl stress at heading (D1H), flowering (D1F) and kernel extension (D1K) stages in comparison with control (S0D0) at the same stages (Table 4). The interaction between severe salinity (S2) and drought stress (D1) increased carotenoid content by 103.51% at the heading, 205.65% at the flowering, and 198.08% at the kernel extension compared with the control of the same phenological stages.

Plant height, root dry weight, and grain yield

The main effects of salinity and drought stresses on plant height were significant, but not the interaction effects (Table 2), which suggests that the differences among the salinity levels were consistent at all drought stress levels. The highest (99.7 cm) and the lowest (71.5 cm) plant heights were reached under 0 and 100 mM NaCl, respectively (Table 2). Means comparison showed that both levels of salinity stress reduced plant height by 9.13% and 28.28%, respectively (Table 6). The highest plant height was obtained in normal irrigation, and the lowest was observed in water scarcity stress at the flowering stage (Table 6). Water scarcity reduced plant height by 10.88% at the heading, 13.20% at the flowering, and 7.29% at the kernel extension stage (Table 6).

Table 6 Mean plant height (cm) values obtained from the three Salinity and the four Drought levels. Within each column, means sharing the same letter are not significantly different from each other.
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The multiple means comparison results shown in Table 5 indicate that the highest root dry weight was obtained from no-salinity and water scarcity stress at the flowering stage (S0D1F), and the lowest amount of it was at (S2D0) (Table 7). In this regard, there was a decrease of about 56.90%, 43.79%, and 47.59% in root dry weight, under the combination of water deficit and 50 mM NaCl stress at the heading (D1H), the flowering (D1F) and the kernel extension (D1K) stages in comparison with their control (S0D0) and the concurrence of severe salinity and drought stress (D1) decreased root dry weight 73.45% at heading, 68.28% at flowering and 71.38% at kernel extension in comparison with normal condition (S0D0) (Table 7).

Table 7 Mean root dry weight (in g) and grain yield (in g per plant) values obtained from the 12 combinations of salinity and drought. Within each column, means sharing the same letter are not significantly different from each other.
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Salinity stress and water deficit also had a significant interaction effect on grain (crop) yield (Table 2). The multiple means comparison results showed that the yield of triticale was greatly reduced as the salinity increased (37.94 and 86.34% for S1 and S2, respectively) (Table 7). Also, our findings show that the decrease in grain yields can be due to the cessation of irrigation at any morphological stage (Table 7). The combination of salinity and drought stress demonstrates that the highest amount of grain yield was achieved under normal irrigation and no salinity (S0D0) (Table 6). The lowest yield was acquired under severe salinity and water disruption during the flowering stage of plant growth (S2D1F) (Table 7). The simultaneous 50 mM NaCl + water scarcity stress reduced the grains yield of triticale compared to normal irrigation at no salinity treatment (approximately 67.10% at the heading, 79.21% at the flowering, and 58.72%, at the kernel extension stages, respectively) (Table 7). In addition, the combination of high salinity and water deprivation stress during heading, flowering, and kernel expansion phases respectively reduced grain yields by 88.33%, 92.57%, and 87.84% compared to S0D0 (Table 7).

Growth indices

The process of changing plant growth was evaluated using different growth indices at different phenological stages. Among the most important indicators of plant growth that can be affected by salinity and drought are total dry matter (g), LAI, RGR (g g−1 day−1), NAR (g per plant−1 day−1), and CGR (g per plant−1 day−1). The RMA results that show the significance of the main and interaction effects of salinity stress, drought and day are presented in Table 4.

Total dry matter and leaf area index

The multiple means comparison results of total dry matter and LAI of triticale obtained from different salinity levels measured on different days, and from water-deficit treatments measured on different days are shown in Tables 7 and 8, respectively. In all treatments, TDM and LAI increased during plant growth and reached the maximum level of 93–86 days after planting. Then at maturity (93–107 days), they showed a decreasing trend. According to the results, salinity and water deprivation stress decreased plant growth. Under the control salinity condition, the highest amount of total dry matter (4.38 g per plant) and LAI (2.90) was obtained after 93 days of planting (Table 8), and under the control droughty condition, the highest amount of total dry matter (4.46 g per plant) and LAI (3.05) was obtained after 93 days of planting (Table 9). The lowest values for total dry matter and LAI were obtained from the severe salinity and water scarcity at the flowering stage (Tables 8 and 9).

Table 8 Mean leaf area index (LAI), total dry matter (TDM in g), relative growth rate (RGR in g g−1 day−1), crop growth rate (CGR in g per plant−1 day−1), net assimilation rate (NAR in g per plant−1 day−1), and relative water content (RWC in %) values obtained from the 18 combinations of Salinity and Day. Within each column, means sharing the same letter are not significantly different from each other.
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Table 9 Mean leaf area index (LAI), total dry matter (TDM in g), relative growth rate (RGR in g g−1 day−1), crop growth rate (CGR in g per plant−1 day−1), net assimilation rate (NAR in g per plant−1 day−1), and relative water content (RWC in %) values obtained from the 24 combinations of Drought and Day. Within each column, means sharing the same letter are not significantly different from each other.
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Net assimilation rate, relative growth rate, and crop growth rate

The abiotic stresses had negative effects on the trends of NAR, RGR, and CGR (Tables 8 and 9). In all treatments, NAR and RGR decreased during plant growth and reached to a minimum level at 86–93 days after planting, then showed a negative value at maturity (93–107 days). The trend of CGR changes of triticale (Tables 8 and 9) showed that in all treatments, the CGR was low in the beginning, increased considerably thereafter up to 79 days after planting, and, then showed a declining trend at 82–107 days after planting.

Relative water content and electrolyte leakage

Results showed that in all of the treatment combinations, RWC decreased (Tables 8 and 9), and EL increased during plant growth under salinity and drought stress (Table 9). The highest RWC (Tables 8 and 9) and lowest EL (Table 10) were reached at S0D0 72 days after planting. On the other hand, the lowest RWC and the highest EL were obtained on 107 days after planting (Tables 8, 9 and 10).

Table 10 Mean electrolyte leakage (EL in %) values obtained from the 24 combinations of Drought and Day. Means sharing the same letter are not significantly different from each other. Letters with “(2)” added (e.g., (2) t) are the second-round letters after reaching z.
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Discussion

Physiological response

Proline and Soluble sugars

Osmoprotectants act as osmolytes and protect organisms against stress. The most essential osmolytes accumulated in plants are betaine, proline, polyols, soluble sugars and sugar alcohols. The leaf free proline and soluble sugar contents increased in response to salinity, drought and their combination and the increase was greater during the flowering stage. Biosynthesis and the buildup of osmolytes under abiotic stress conditions are responsible for ROS removal, cell redox potential balance adjustment, osmotic pressure adjustment, cell pH, protein, and membrane stabilization52. The accumulation of osmolytes, such as proline, soluble sugars, and protein is linked to stress tolerance53. Arough et al.25 found that in triticale, the proline content increased under salinity stress. Under drought stress conditions, an increase in proline content of barley was reported by Bandurska et al.54. Paul et al.55 demonstrated that a combination of salinity and drought stress increases the proline content of wheat genotypes. Several authors have reported increasing soluble sugar content affected by drought and salinity56. Leaf soluble carbohydrates are elevated as plant reserves against drought stress and decreased moisture content of soil57. Lynda et al.58 showed that the content of soluble sugar in wheat increases under salinity stress. An increase in soluble sugar content under drought stress has been reported by Mohammadkhani and Heidari59.

Photosynthetic pigments

The stress conditions caused the destruction of chloroplasts and led to the reduction of chlorophyll content. Carotenoids increased in response to osmotic stress under salinity and drought stress, which can indicate relative resistance to stress. The flowering stage is more sensitive to the combination of salinity and drought stress. Chlorophyll pigments have a fundamental role in the destruction of energy and harvesting of light under stressful conditions60. Reduction in chlorophyll under salinity and water deficit stress has been suggested in many plant species such as sunflower61, sorghum62. Carotenoids were similarly elevated by reducing osmotic potentials for each drought and salinity. The main act of carotenoids is to prevent the production of singlet oxygen and protect against oxidative damage63. Shanazari et al.64 reported that carotenoid content increased in wheat and triticale groups under drought stress conditions compared to control. Lim et al.65 showed that carotenoid contents increased under salinity stress in buckwheat compared to control, and doubled in the 50 and 100 mM NaCl. It is clear that carotenoids act as a component for photoprotection by assisting in the dispersion of extra energy.

Yield-related

The abiotic stresses also decreased plant height and yield. Root dry weight increased with drought stress, while it decreased when salinity and drought were applied simultaneously. The effects of the combination of severe salinity and drought stress were greater in the flowering stage. Salinity reduced the fresh weight of both shoots and roots and the dry weight of roots66. The decrease in root growth is due to the toxic effect of high concentrations of NaCl and the imbalance in nutrient uptake by the roots67. Water deficit significantly increased root length, but root weight decreased significantly when salinity and drought stress occur simultaneously68. Increasing root weight under drought stress in rice has been reported by Toorchi et al.69. Plant height reduction due to drought stress may be associated with a relative decrease in swelling and water loss of the cell, which helps to reduce turgor pressure and cellular division70. Dugasa et al.71 showed that simultaneous exposure to salinity and water stress reduced the plant growth of the wheat cultivars compared to normal conditions. Ahmed et al.72 perceived that treating barley plants with either or a combination of salinity and drought stress showed a significant decline in plant height and root weights, with the greatest reduction in combined stress. The study by Pour-Aboughadareh et al.73, on durum wheat under drought stress indicated that drought stress reduced the plant height, grain yield, and biomass in all genotypes compared to control. Hafez et al.74 corroborated that drought stress negatively affects barley plant height. Cai and Gao75 reported that plant height decreased under salinity stress. Some reports have shown a salinity-induced decrease in the growth and wheat grains yield76, and maize77. According to Kheirizadeh Arough et al.78, drought stress reduced triticale yield. Grain yield of barley79 and maize80 is considerably affected by soil moisture constraint and change.

Growth indices

The study of growth indices is very important in the analysis of factors effecting grain yield. They can help to determine plant growth stages by quantifying the growth and development of crop production. Growth indices are affected by salinity and drought stresses. According to the obtained results, salinity and drought stress caused a decrease in the growth indices used for this study. The results obtained in Tables 8 and 9 showed that the salinity stress of 100 mM NaCl has the greatest effect on the traits of LAI, TDM, RGR, CGR, and NAR and the flowering stage is more sensitive to drought stress compared to other growth stages. Growth indices are indicators that are used to assess plant's ability and productivity81. Kafi et al.82 stated that salt stress leads to a decrease in the water potential in the root environment, which can be the main factor in reducing the accumulation of dry matter and increasing the accumulation of solutes in plant organs. Ebrahimian and Bybordi83 indicated that salinity could reduce dry matter accumulating in the plant because salinity causes chlorophyll degradation and leaf discoloration and chlorosis. The study by Hajibabaee et al.84 on corn hybrids showed that LAI and leaf and shoot dry weight decrease under drought stress. Ihsan et al.85 indicated that LAI decreases in wheat under water stress. Total dry matter, LAI, RGR, and CGR were significantly affected by water stress in rapeseed86. Salinity stress reduced RGR, and NAR in genotypes of wheat36. Hirasawa et al.87 indicated that water deficit stress had a special effect on decreasing NAR, and water stress reduced NAR and LAI. A decrease in CGR has been reported in many studies under drought stress88,89. Premature aging of plant leaves leads to a further reduction in RGR90. Munns et al.91 attributed that decreasing CGR under salinity can be due to decreasing RWC, leaf area, and current photosynthesis.

Relative water content and Electrolyte leakage

Relative water content is mentioned as a suitable indicator of the water status of the leaves, which decreases under water deficit stress and causes changes in the cell membrane and increases EL from the cells92. Relative water content decreases significantly under salinity stress93. This can be due to the reduction in water uptake94 and/or its harmful effect on cell wall structure95. Chauhan and Sanadhya96 indicated that individual and simultaneous occurrence of salinity and drought stresses significantly reduce RWC and increase EL in (Brassica juncea sp.). Studies by Mahlooji et al.97 on barley genotypes show that salinity stress increases EL and decreases RWC. Increasing EL may be due to the destructive effects on the plasma membrane and selective permeability. This result is similar to that obtained by98. A study by El-Moneim et al.99 on wheat genotypes, revealed that salinity and drought stress reduce RWC and leaf area.

Conclusions

Drought and salinity stresses increased the production and accumulation of proline, soluble sugars, and carotenoids and increased electrolyte leakage. At the same time decreased chlorophyll content, growth indices, relative water content and yield of triticale. The combined effects of salinity and drought stress are greater than when each stress was applied individually. The plant's responses to stresses were different in each phenological stage. Based on the results of this study, among the phenological stages, the flowering stage was the most sensitive stage to the combination of salinity and drought stress, it was found that triticale increased the activity of its non-enzymatic defense mechanism (proline, soluble sugars, and content of carotenoid) to counteract the destructive effects of salinity and drought stress and oxidative damage caused by them.