Screening frost-tolerant sunflower hybrids: integrating physiological traits and electrolyte leakage analysis

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Plant Biology

Introduction

Sunflower (Helianthus annuus L.) is the most important oilseed crop in Türkiye, accounting for 60% of the demand for high-quality vegetable oil (Kaya, Balalic & Milic, 2015). It is primarily cultivated in arid and semi-arid regions with a continental climate characterized by hot summers with low rainfall and cold, rainy winters under rainfed conditions (Kaya, Bayramin & Kaya, 2015). The adaptability and tolerance of sunflower to adverse soil and climatic conditions make it an important component of crop rotation. Because sunflower has been subjected to several environmental stressors, the supply of vegetable oil is closely related to the severity of abiotic stress factors such as drought and extreme temperatures encountered during the sunflower vegetation period (Gürbüz, Kaya & Demirtola, 2003).

Farmers prefer early sowing to mitigate the adverse effects of high temperatures and water scarcity during the vegetation periods of sunflower, particularly the flowering period. This can result in a reduction in seed yield and oil content. Although early sowing offers better water utilization in the soil and facilitates spring rains, it increases the risk of low temperatures during the initial growth stages (Gutierrez, Cantamutto & Poverene, 2016). In particular, temperatures below 0 °C (frost or freezing) interrupt plant growth, reduce productivity, and threaten the survival of sunflower plants by disrupting crucial metabolic processes (Hewezi et al., 2006; Hniličková et al., 2017). In Türkiye, frost damage occurs in agricultural areas almost every year. For example, spring crops such as maize, sunflower and sugar beet in the Marmara and Central Anatolia regions may be damaged by frost by late May between 2023 and 2025 (Turkish State Meterological Service (TSMS), 2025). This can lead to crop losses of up to 100%.

Frost injury occurs due to the crystallization of water within the cell (Beck et al., 2007). The production of ice crystals in the extracellular space enables water to leak from the protoplast into the extracellular space, leading to cell dehydration (Scott, 2000). Furthermore, rapid or repeated freeze–thaw cycles can cause the mechanical rupture of membranes, which severely impairs membrane integrity and ion homeostasis (Palta, Jensen & Li, 1982). Increased electrolyte leakage is a reliable indicator of frost-induced membrane damage and is frequently used to measure this phenomenon (Van Zuijlen et al., 2024). Frost impacts chlorophyll content (Gutierrez, Cantamutto & Poverene, 2016), electrolyte leakage (Tetreault et al., 2016), relative water content (Kulan & Kaya, 2024), protein synthesis (Duman & Wisniewski, 2014), osmotic potential (Hniličková et al., 2017), net carbon dioxide assimilation rate (Hejnák et al., 2014), antioxidant enzyme activities (Fabio, Tommasino & Grieu, 2022), photosynthesis (Liu, Qi & Li, 2012), and gene expression (Allinne et al., 2009). It is well-documented that genetic factors play a role in determining the frost tolerance levels of sunflower (Hniličková et al., 2017; Hejnák et al., 2014; Hernández et al., 2020); however, it is important to note that the tolerance of sunflower to frost stress may vary with the growth stage. Moreover, the duration of exposure and the temperature of frost may affect the tolerance levels of sunflower plants to frost stress. Therefore, this study was designed to identify the tolerance levels of sunflower hybrids according to growth stages, to determine the physiological characteristics of sunflower seedlings associated with frost tolerance at the V2 and V4 stages, and to clarify the genotypic variations among sunflower hybrids.

Materials & Methods

This study was conducted at the Seed Science and Technology Laboratory, Department of Field Crops, Faculty of Agriculture, Eskişehir Osmangazi University, Eskişehir, Türkiye, in 2021.

Plant material

Seeds of 14 sunflower hybrids (SY Gibraltar, SY Santos HO, SY Roseta, Sanbro MR, LG 5580, LG 50.585, LG 50.609SX, LG 59.580, P63LE113, P63LE119, P63MM54, P64LE121, Meteor CL and Duet CL) selected from different seed companies to create genetic variation and preferred extensively were used.

Plant growth conditions

After two days of pre-germination at 20 °C between moistened filter papers, the germinated seeds were transferred to plastic vials containing 30 cells (each measuring eight cm in diameter and 11 cm in height) for both the unstressed (control) and frost-stressed groups. A mixture of peat:perlite:vermiculite (3:1:1, v:v:v) was used as a plant growth medium. They were kept in the growth chamber for 2 days at 23/18 °C, 14/10 h night/day photoperiod with a relative humidity of 70% until the cotyledonary leaves emerged on the surface. On 30 April 2021, they were then transferred to their natural environment (open field conditions) under the protection of nets providing 50% shade, in order to obtain vigorous seedlings similar to those grown in field conditions. Irrigation was performed with tap water every other day according to the water requirements of the plants. Once the plants reached the desired growth stage, they were subjected to frost treatment.

Frost treatments

At the 2-leaf (V2) and 4-leaf (V4) growth stages, as defined by Schneiter & Miller (1981)), the plants were exposed to frost temperature at −4 °C for 4 h (Hniličková et al., 2017). The optimum combination of time and temperature for frost treatment was determined by pre-tests at −2, −4, −6, and −8 °C for 2, 4, 6, and 8 h. The differences among the sunflower hybrids with respect to damage and death rates were considered to determine the combination of time and temperature. The frost treatment applied to the plants in the growth chamber consisted of the following acclimatization conditions: 4 h at 10 °C, 4 h at 5 °C, 4 h at −4 °C, 3 h at 10 °C, and 3 h at 15 °C.

Measurements of physiological parameters

Leaf temperature and chlorophyll content

After taking out the plants from the incubator, they were left at room temperature for 4 h. The leaf temperature was then measured using an infrared thermometer (Trotec TP7 pyrometer), and the chlorophyll content was read using a Konica Minolta SPAD 502 chlorophyll meter as the SPAD value under laboratory conditions.

Relative water content

Fresh weights (FW) of the upper leaves of the plant were weighed and placed in distilled water for 24 h to determine turgor weights (TW). These leaves were dried in an oven at 80 °C for 24 h to determine dry weight (DW). The leaf relative water content (RWC) was calculated according to the formula described by Bijanzadeh, Barati & Egan. (2022).

RWC = [(FW–DW)/ (TW–DW)] × 100.

Electrolyte leakage

Electrolyte leakage was determined using six discs with a diameter of five mm that were excised from the true leaves. They were rinsed with distilled water and subsequently dried gently with paper towels. They were immersed in 20 mL of distilled water within 50 mL glass test tubes. The tubes were then incubated at 20 °C in darkness for 24 h, after which the electrolyte leakage was measured using an EC meter (WTW 3.15i) (EC1). Afterward, they were subjected to a 60-minute hot water treatment at 90 °C in a water bath to ensure complete tissue death, followed by a one-hour cooling period at room temperature prior to measuring ion leakage (EC2). The electrolyte leakage (EL) was calculated according to the methodology proposed by Lutts, Kinet & Bouharmont (1996).

EL (%) = (EC1/EC2) × 100.

Determination of damaged and dead plant rate

After the frost treatment, damaged plants were observed and counted. The plants were watered and allowed to grow in an incubator for another 3 days to determine the rate of dead plants.

Statistical analysis

This research was set up according to a two-factor factorial in a Completely Randomized Design and analyzed by computer using the MSTAT-C (Michigan State University, v2.10) program. Randomization was performed on sunflower hybrids. The significance level of the variations among sunflower hybrids was evaluated using Tukey’s test. The square root transformation was used to examine damaged and dead plant rates. Correlation analysis was performed to determine the relationship between damaged and dead plants and physiological characteristics. To rank sunflower hybrids for frost tolerance, principal component (PC) and cluster analysis were conducted using the JMP 13.0 program.

Results

Damaged and dead plants

There was a significant difference in the percentages of damaged and dead plants due to frost between sunflower hybrids at the V2 and V4 growth stages (Table 1). Data for the control treatment were not given in Table 1 because the control plants were not subjected to any frost treatment, resulting in no damage or death. A lower percentage of damaged and dead plants was observed at the V2 stage, and the results are presented in Table 1. As the growth stage progressed, the frost tolerance of the sunflower hybrids also decreased. The highest percentage of dead plants was recorded in Sy Santos HO, with 38.5% at V2, while no deaths were recorded at V4. Similarly, SY Gibraltar exhibited the highest percentage of dead plants (80.7%) at the V4 stage, but only 3.5% at V2.

Table 1:
The percentage of damaged and dead plants of sunflower hybrids subjected to frost stress in the V2 and V4 growth stages.
Each value represents the mean of four replicates. Different letters within each column indicate statistically significant differences at the 5% level.
V2 stage V4 stage
Hybrids Damaged (%) Dead (%) Damaged (%) Dead (%)
SY Gibraltar 57.0ab 3.5bc 80.7a 73.3a
SY Roseta 3.5gh 0.0c 35.0bc 10.8de
Sanbro MR 14.3efg 0.0c 4.3f 0.0e
SY Santos HO 61.3a 38.5a 12.5ef 0.0e
LG 50.585 46.5abc 0.0c 4.3f 0.0e
LG 50.609SX 32.3b−e 7.0b 16.8de 12.5de
LG 5580 42.8a−d 0.0c 30.0cd 30.0bc
LG 59.580 27.3cde 0.0c 10.0ef 0.0e
P63LE113 7.1h 0.0c 65.0ab 45.0ab
P63MM54 21.8def 3.5bc 80.0a 45.0ab
P64LE119 41.5a−d 0.0c 51.8abc 16.8cd
P64LE121 7.2fgh 0.0c 32.5cd 10.0de
Duet CL 40.5a−d 4.3bc 30.8cd 5.0de
Meteor CL 24.3b−e 0.0c 66.8ab 23.3bc
Mean 30.5 4.1 37.2 19.4
DOI: 10.7717/peerj.20282/table-1

Notes:

Letters in each column indicate a significance level of 5%.

The present study showed that sunflower plants at the V2 stage tolerated frost stress better than plants at the V4 stage because a lower damaged and dead plant rate was obtained at the V2 stage. Younger sunflower plants were more tolerant to frost temperatures than older plants. The mean percentage of damaged plants increased from 30.4% at V2 to 37.7% at the V4 stage, leading to an increase in the dead plant rate.

Chlorophyll content and leaf temperature

Significant differences in chlorophyll content were observed among sunflower hybrids (Table 2). The minimum value (34.7 SPAD) was obtained from SY Santos HO, while the maximum (40.2 SPAD) was in LG 50.609SX. The chlorophyll content of sunflower hybrids responded differently to frost stress, increasing in six hybrids and decreasing in the rest. On the other hand, leaf temperature was reduced in plants affected by frost. The highest reduction was observed in SY Gibraltar, while the lowest was in Duet CL. In the present study, there were considerable changes between the sunflower hybrids for chlorophyll content at both V2 and V4 stages, but frost stress changed it considerably depending on the growth stage. The increase in chlorophyll content after frost was more pronounced at the V4 stage compared to the V2 stage. On the other hand, genotypic heterogeneity was very evident in chlorophyll content. For example, after frost treatment, SY Gibraltar increased chlorophyll content, but LG 50.609SX showed a significant drop. Furthermore, a positive and significant correlation was found between chlorophyll content and the percentage of damaged and dead plants at the V4 stage.

Table 2:
Changes in chlorophyll content (SPAD) of sunflower hybrids subjected to frost stress at the V2 and V4 growth stages.
Each value represents the mean of four replicates. Differences indicate the change between frost-treated and control plants. Different letters within each growth stage indicate statistically significant differences at the 5% level.
Hybrid V2 stage Difference V4 stage Difference
Control Frost Control Frost
SY Gibraltar 38.0c−i 38.1c−h +0.1 34.3l−o 40.6bc +6.3
SY Roseta 37.2d−i 41.2ab +4.0 35.2j−m 36.8g−j +1.6
Sanbro MR 35.6ijk 41.4a +5.8 37.4e−i 34.2l−o −3.2
SY Santos HO 34.7jk 35.6ijk +0.9 34.2m−o 34.3l−o +0.1
LG 50.585 38.7c−g 36.4g−j −2.3 36.8g−j 35.8i−m −1.0
LG 50.609SX 40.2abc 37.5d−i −2.7 45.5a 37.2f−i −8.3
LG 5580 36.8f−j 37.5d−i +0.7 35.9i−l 39.0cde +3.1
LG 59.580 37.4d−i 37.1e−j −0.3 36.3h−k 35.3j−m −1.0
P63LE113 37.8c−i 39.3a−e +1.5 39.1cd 41.0b +1.9
P63MM54 38.9b−f 37.8c−i −1.1 33.5no 41.2b +6.9
P64LE119 35.7h−k 30.2l −5.5 33.4° 38.9def +5.5
P64LE121 39.6a−d 36.9e−j −2.7 35.1k−n 37.9d−h +2.8
Duet CL 35.9h−k 40.0abc +4.1 37.9d−h 36.6g−k −1.3
Meteor CL 36.8f−j 33.5k −3.3 34.4l−o 38.1d−g +3.7
Mean 37.4 37.3 36.3b 37.6a
Analysis of variance
Hybrid (A) ** **
Stress (B) ns **
AxB ** **
DOI: 10.7717/peerj.20282/table-2

Notes:

ns, non-significant.

**, significant at 1%.

Letters in each growth stage indicate a significance level of 5%.

At the V2 stage, leaf temperature decreased in frost-treated sunflower hybrids (Table 3). However, it increased in 7 of the sunflower hybrids and decreased in 5 hybrids. Duet CL and Meteor CL were the least affected hybrids by frost at the V2 stage. Leaf temperature was measured after frost stress, and lower values were recorded in the plants subjected to frost stress at the V2 stage. However, at the V4 stage, a significant difference was observed between sunflower hybrids, and increased leaf temperature was measured in SY Gibraltar, SY Roseta, and Sanbro MR after frost stress.

Table 3:
Changes in leaf temperature (° C) of sunflower hybrids subjected to frost stress at the V2 and V4 growth stages.
Each value represents the mean of four replicates. The “Difference” columns indicate the change between frost-treated and control plants. Different letters within each growth stage indicate statistically significant differences at the 5% level.
Hybrid V2 stage Difference V4 stage Difference
Control Frost Control Frost
SY Gibraltar 24.1ab 18.9i −5.2 19.2m 22.4fg +3.2
SY Roseta 23.8a−d 19.3hi −4.5 21.4hi 24.4c +3.0
Sanbro MR 23.5cd 19.2hi −4.3 20.5jkl 23.8cd +3.8
SY Santos HO 23.3de 18.8i −4.5 26.2b 26.2b 0.0
LG 50.585 23.8a−d 19.4h −4.4 20.8ijk 23.2e +2.4
LG 50.609SX 23.8abc 19.0hi −4.8 26.9a 26.5ab −0.3
LG 5580 23.9abc 20.2g −3.7 23.0ef 20.2kl −2.8
LG 59.580 23.7bcd 20.6g −3.1 23.2e 20.6jkl −2.6
P63LE113 24.1ab 20.5g −3.6 23.5de 20.8ijk −2.7
P63MM54 24.2a 21.8f −2.4 24.4c 21.9gh −2.5
P64LE119 24.2a 21.6f −2.6 21.0ij 20.9ij −0.1
P64LE121 24.1ab 21.9f −2.2 20.6jkl 21.9gh +1.3
Duet CL 23.9abc 22.9e −1.0 19.0m 20.1l +0.2
Meteor CL 23.5cd 21.9f −1.6 20.5jkl 20.8jkl +0.3
Mean 23.8a 20.4b 22.1b 22.4a
Analysis of variance
Hybrid (A) ** **
Stress (B) ** **
AxB ** **
DOI: 10.7717/peerj.20282/table-3

Notes:

Significant at 5%.
Letters in each growth stage indicate a significance level of 5%.

Relative water content and electrolyte leakage

The mean values of RWC showed that frost stress resulted in lower water content in sunflower hybrids (Table 4). The RWC in control and frost-stressed plants was significantly different. Differences in RWC between control and frost-stressed plants were negative and higher in SY Roseta, while P63LE113 produced higher RWC after frost stress. However, the cell membrane stability of sunflower hybrids increased in plants subjected to frost stress. The minimum difference was determined in LG.50.585, SY Roseta, and LG 59.580. There was great variation in the cell membrane stability of sunflower hybrids in control and frost-affected plants. At the V2 stage, it increased apparently in plants subjected to frost stress, but only one hybrid, Sanbro MR, showed a decrease at V4. Frost stress affected the relative water content of sunflower hybrids; however, significant variations were determined in unstressed plants. A significant change was observed in ten sunflower hybrids at both V2 and V4 stages.

Table 4:
Changes in relative water content (%) of sunflower hybrids subjected to frost stress at the V2 and V4 growth stages.
Each value represents the mean of four replicates. The “Difference” columns indicate the change between frost-treated and control plants. Different letters within each growth stage indicate statistically significant differences at the 5% level. Asterisks indicate significance in the analysis of variance at the 5% (*) and 1% (**) levels.
Hybrids V2 stage Difference V4 stage Difference
Control Frost
SY Gibraltar 79.6d−g 79.8c−g +0.2 87.8efg 88.8efg +1.0
SY Roseta 86.2a 72.6lm −13.6 96.2bcd 89.2efg −7.0
Sanbro MR 77.5e−j 79.4d−g +1.9 97.0a 99.0bc +2.0
SY Santos HO 80.0c−g 73.0klm −7.0 68.0m 75.0kl +7.0
LG 50.585 85.2ab 80.9cde −4.3 75.6kl 95.8cd +20.2
LG 50.609SX 85.6ab 77.0f−j −8.6 72.8lm 78.2jkl +6.0
LG 5580 79.9c−g 80.0c−g +0.1 84.4ghi 84.4ghi 0.0
LG 59.580 78.0e−i 78.3d−h +0.3 89.1efg 84.0ghi −5.1
P63LE113 74.0j−m 83.6abc +9.6 90.6def 91.5def +0.9
P63MM54 80.6c−f 74.3i−m −6.3 85.8fgh 86.4fgh +0.6
P64LE119 82.0bcd 76.8f−k −5.2 88.3efg 85.8fgh −2.5
P64LE121 76.7f−k 75.2h−l −1.5 93.3cde 91.8def −1.5
Duet CL 77.2e−j 70.6m −6.6 81.5hij 84.3ghi +2.8
Meteor CL 76.3g−l 79.7d−g +3.4 78.8ijk 87.7efg +8.9
Ortalama 79.9a 77.2b 86.1b 88.0a
Analysis of variance
Hybrid (A) ** **
Stress (B) ** *
AxB ** **
DOI: 10.7717/peerj.20282/table-4

Notes:

Significant at 5 and 1%, respectively
Letters in each growth stage indicate a significance level of 5%.

The electrolyte leakage was found to be higher in sunflower plants at the V4 stage, and this was significantly correlated with the rate of damaged and dead plants (Table 5). Frost stress caused an increase in electrolyte leakage, but the differences between the control and frost-stressed plants were particularly evident at the V4 stage. The highest differences were observed in P64LE121, P63LE113, and SY Gibraltar at the V2 stage, while P63MM54, P63LE113, and Meteor CL exhibited the most notable variations at the V4 stage.

Table 5:
Changes in electrolyte leakage (%) of sunflower hybrids subjected to frost stress at the V2 and V4 growth stages.
Each value represents the mean of four replicates. The “Difference” columns indicate the change between frost-treated and control plants. Different letters within each growth stage indicate statistically significant differences at the 5% level.
Hybrids V2 stage Difference V4 stage Difference
Control Frost Control Frost
SY Gibraltar 19.3fg 34.8ab +15.5 49.7bc 49.9bc +0.2
SY Roseta 33.1abc 34.5ab +1.3 24.4j−m 37.1f +12.7
Sanbro MR 30.8c 36.4a +5.6 24.6j−m 20.9m −3.7
SY Santos HO 20.9ef 32.0bc +11.1 29.4hi 32.8gh +3.4
LG 50.585 29.9c 30.8c +0.9 23.4klm 25.5i−l +2.1
LG 50.609SX 25.1d 34.5ab +9.4 35.9fg 39.5ef +3.6
LG 5580 21.5ef 32.4bc +10.9 27.3ijk 43.1e +15.8
LG 59.580 26.1d 30.6c +4.5 29.5hi 32.1gh +2.6
P63LE113 15.0h 31.8bc +16.8 22.1lm 54.9c +32.8
P63MM54 17.1gh 30.6c +13.5 28.9hi 62.6b +33.7
P64LE119 21.6ef 30.2c +8.6 40.6def 59.5a +18.9
P64LE121 15.1h 32.3bc +17.2 27.7ij 47.6d +19.9
Duet CL 24.3de 32.4bc +8.1 41.3de 58.9a +17.6
Meteor CL 25.2d 30.0c +4.8 39.5efg 60.1a +20.6
Ortalama 23.7b 31.9a 31.7b 44.6a
Analysis of variance
Hybrid (A) ** **
Stress (B) ns **
AxB ns **
DOI: 10.7717/peerj.20282/table-5

Notes:

ns, non-significant.

Significant at 1%.
Letters in each growth stage indicate a significance level of 5%.

Correlation and principal component analysis

Correlation coefficients and significance levels among the parameters investigated were given in Fig. 1. At the V2 stage, a significant and positive relationship was found between chlorophyll content and electrolyte leakage. No significant correlations were determined between the percentage of damaged and dead plants and physiological parameters. However, at the V4 stage, chlorophyll content showed significant correlations with the percentage of damaged plants (r = 0.891**) and dead plants (r = 0.881**). Furthermore, electrolyte leakage was significantly linked with the percentage of damaged plants (r = 0.829**).

Correlation coefficients between damage-dead percentages and the physiological traits at the V2 and V4 growth stages.

Figure 1: Correlation coefficients between damage-dead percentages and the physiological traits at the V2 and V4 growth stages.

The correlation coefficients between frost-induced damage and dead percentages and selected physiological traits -leaf chlorophyll content (Chl), leaf temperature (LT), relative water content (RWC), and electrolyte leakage (EL)- at the V2 and V4 growth stages. Values indicate the strength and direction of correlations between traits. Note: *, **: significant at 5% and 1%, respectively; ns: non-significant.

Principal component and cluster analysis were performed on the mean value of each hybrid subjected to frost stress at the V2 and V4 stages. The results indicated that PC1 (34.8%) and PC2 (30.7%) accounted for a combined 65.5% of the data variability at V2, while PC1 (61.2%) and PC2 (19.4%) represented a total variation of 80.6% at V4 (Figs. 1 and 2). This suggests that the parameters investigated were more effective in explaining the frost tolerance at the V4 stage. Sy Santos was found to be a frost-tolerant sunflower hybrid at the V2 stage, with electrolyte leakage and chlorophyll content being the most determinative characteristics (Fig. 2). On the other hand, P63LE113, Sy Gibraltar, and P63MM54 showed better tolerance to frost stress compared to other sunflower hybrids (Fig. 3).

Classification of sunflower hybrids at the V2 stage for frost tolerance using principal component and hierarchical cluster analysis.

Figure 2: Classification of sunflower hybrids at the V2 stage for frost tolerance using principal component and hierarchical cluster analysis.

Different colors indicate cluster numbers (1: red, 2: green, 3: blue, and 4: purple) and PC indicates principal component.
Classification of sunflower hybrids at the V4 stage for frost tolerance using principal component and hierarchical cluster analysis.

Figure 3: Classification of sunflower hybrids at the V4 stage for frost tolerance using principal component and hierarchical cluster analysis.

Different colors indicate cluster numbers (1: red, 2: green, 3: blue, and 4: purple) and PC indicates principal component.

Discussion

Frost is an important environmental stress factor that can develop suddenly and poses vital risks for summer-season crops during their early growth stages. Its prevalence is steadily increasing as a consequence of global warming, which negatively impacts on the ability of plants to survive. Therefore, it is essential to prioritize breeding or selecting frost-tolerant cultivars to mitigate the adverse effects of frost stress. In this study, sunflower hybrids extensively cultivated in Türkiye were evaluated for their tolerance to frost stress at the V2 and V4 growth stages, when the plants are frequently exposed to frost. In contrast to previous studies, the plants were grown under natural conditions at the time of sowing, which was on April 16th, 2021, in order to simulate real climatic conditions and plant growth.

The findings of this study corroborate the existence of genetic variations among sunflower hybrids with regard to their tolerance to frost stress, although this is markedly influenced by the specific growth stage. Similar findings were reported by Hernández et al. (2020), who identified genetic differences in the survival of plants subjected to freezing stress at the four-leaf stage. The wild sunflower biotypes exhibited a higher survival rate than the cultivated ones. Additionally, Liu et al. (2011) reported high variability among cultivated maize genotypes, with a survival rate of 97%. In our study, sunflower hybrids appeared to be more sensitive to frost at the V4 stage, which is consistent with previous research.

Chlorophyll content of sunflower plants plays a key role in frost sensitivity, particularly in those at the V4 stage of development. Higher chlorophyll content may result in higher electrolyte leakage, damaged and dead plant rates. Similarly, most of the previous studies have indicated a reduction in chlorophyll content in the plants exposed to low temperatures (cold, chilling, and freezing) (Fabio, Tommasino & Grieu, 2022). The present study revealed that sunflower hybrids showed different responses to frost stress, with a marked variation in chlorophyll content. These differences were strongly correlated with the percentage of damaged and dead plants at the V4 stage (r = 0.891** and r = 0.881**, respectively), indicating that the level of frost tolerance in sunflower hybrids may be closely linked to their chlorophyll content.

Leaf temperature was a potential indicator for the plants subjected to various stress factors. It was lower in the sunflower plants subjected to frost temperature at the V2 stage. In a study conducted by Hirayama, Wada & Nemoto (2006), a significant positive relationship was identified between leaf temperature and rice yield. Furthermore, Perera, Cullen & Eckard (2019) found that this relationship was more reliable for the estimation of pasture production than air temperature. It is hypothesized that lower leaf temperature indicates that plants were not affected by frost treatment, as higher leaf temperature has been observed in plants subjected to stress factors. For example, Liu et al. (2011) demonstrated that higher leaf temperature was measured in maize plants subjected to water stress.

Frost stress changed the relative water content of sunflower hybrids, and the growth stage influenced it significantly. However, a stable increase or decrease in RWC was not observed due to frost stress. This result confirms the findings of Zareei et al. (2021), who determined a reduction in the RWC of strawberry seedlings exposed to decreasing freezing temperatures. Similarly, Samarina et al. (2020) found that the leaf RWC content of Camellia sinensis L. diminished by cold and frost temperatures, with a significant difference between the two cultivars. No significant changes in RWC were observed in cv. Gruzinskii7. In a recent study, Kulan & Kaya (2024) reported that the RWC content of sugar beet leaves exhibited variation according to the genotype and growth stage, and a notable increase was recorded at the V2.1 stage. In this study, a stable increase or decrease due to frost treatment was not observed among sunflower hybrids. This means that the RWC was not found to be a reliable parameter for the evaluation of sunflower genotypes under frost stress.

Electrolyte leakage was higher in plants subjected to frost stress at the V2 and V4 growth stages. Similarly, Hejnák et al. (2014) demonstrated that relative electrolyte leakage was higher in sunflower genotypes subjected to freezing stress. An increased level of electrolyte leakage is indicative of tissue damage caused by freezing. Fiebelkorn & Rahman (2016) determined that winter hardiness canola exhibited reduced water content and electrolyte leakage. A significant difference was identified between sunflower genotypes in response to cold stress, with electrolyte leakage being higher in cold-stressed plants. The sunflower hybrid Pampero exhibited greater electrolyte leakage than the Sierra hybrid (Fabio, Tommasino & Grieu, 2022). Our results also showed significant differences in electrolyte leakage between sunflower hybrids with varying degrees of frost tolerance. This result is corroborated by the findings of Hniličková et al. (2017), who identified genotypic differences in sunflower hybrids in response to freezing stress through electrolyte leakage assessment. Furthermore, significant correlations were observed between electrolyte leakage and the rate of damaged and dead plants at the V4 stage. However, at the V2 stage, increased electrolyte leakage was noted in P64LE121, P63LE113, and P63MM54, while P63MM54, P63LE113, and Meteor CL demonstrated a greater exclusion of electrolytes from leaves at the V4 stage.

PC and cluster analysis performed by mean values of the investigated parameters of sunflower plants at V2 and V4 stages subjected to frost stress such as damaged plant rate, dead plant rate, chlorophyll content, leaf temperature, relative water content, and electrolyte leakage revealed that four main groups were constituted. The sunflower hybrids responded differently to frost, and SY Santos was found to be more tolerant to frost stress at the V2 stage. However, the superiority of P63LE113, SY Gibraltar, and P63MM54 appeared at the V4 stage.

Conclusions

Frost often occurs in summer season plants, particularly those that are sown early, as this is required for high yields and quality under rainfed conditions. The impact of frost temperatures on plant growth and survival is mediated by disruptions of physiological and biochemical metabolic processes. However, the growth stage and genetic factors are of great importance in determining tolerance to frost stress. The present study demonstrated that sunflower plants at the V2 stage exhibited greater resilience to frost stress compared to those at the V4 stage, as evidenced by a lower percentage of damaged and dead plants. No significant relationship was identified between the parameters investigated and damaged or dead plants at V2. Conversely, at the V4 stage, rates of damaged and dead plants showed positive and significant correlations with chlorophyll content and electrolyte leakage. It can be argued that the V4 stage was suitable for frost-selection of sunflower genotypes. In conclusion, the selection of frost-tolerant genotypes in sunflower should be conducted at the V4 stage, with chlorophyll content and electrolyte leakage serving as valuable criteria for assessing frost stress. It is very important to select frost-tolerant sunflower hybrids for early sowing. This allows sunflower plants to grow taller and makes them more susceptible to frost. This result contributes to the sustainability of sunflower production in areas prone to early spring frosts, such as the Central and South Anatolia Regions of Türkiye.

Supplemental Information

Raw Data of V2-V4 periods

Each data point plotted indicates the average mean of 4 replicates of V2-V4 periods. All replicates are included.

DOI: 10.7717/peerj.20282/supp-1

Statistical analyses performed during V4 period

DOI: 10.7717/peerj.20282/supp-2

Statistical analyses performed during V2 period

DOI: 10.7717/peerj.20282/supp-3