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Article

Differential Seed Germination Responses of Tomato Landraces to Temperature under Climate Change Scenarios

by
Naeimeh Sousaraei
1,
Benjamin Torabi
2,
Elias Soltani
3,*,
Kambiz Mashayekhi
1 and
Joaquín Medina
4
1
Department of Horticultural Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49138-15749, Iran
2
Department of Agronomy, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49138-15749, Iran
3
Department of Agronomy and Plant Breeding Sciences, Abureyhan Campus, University of Tehran, Teheran 33916-53755, Iran
4
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)-CSIC, 28223 Madrid, Spain
*
Author to whom correspondence should be addressed.
Seeds 2022, 1(1), 36-48; https://doi.org/10.3390/seeds1010005
Submission received: 11 January 2022 / Revised: 1 March 2022 / Accepted: 4 March 2022 / Published: 7 March 2022
(This article belongs to the Special Issue Seed Germination and Environmental Cues)
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Abstract

:
This study aims to quantify the seed germination response of six tomato landraces to temperature; predict future climate changes relative to the baseline period (1980–2009) for studied locations in the courses of near-term (2010–2039) and mid-term (2040–2069) under two representative concentration pathways (RCP 4.5 and 8.5); assess the impact of future climate change on the final germination percentage (FGP) and time to reach 50% germination (D50) in the studied landraces. The results show that FGP is zero at 10 °C, reaches the highest value at 15–35 °C, and ceases at 36–40 °C for all landraces. The results also demonstrate that the temperature increment is 0.8–1.3 °C and 1.5–2.7 °C in the near- and mid-term, respectively, under RCP 4.5; further, this increment is 0.9–1.9 °C for the near-term and 2.3–3.4 °C for the mid-term under RCP 8.5. It estimates that the D50 takes 2.5 to 3.8 days among the locations in the baseline course. In the near term, the D50 would be 2.2 to 3.4 days under RCP 4.5 and 2.1 to 3.3 days under RCP 8.5. For the mid-term, the D50 would be projected between 1.9 and 2.9 days under RCP 4.5 and 1.8 to 2.7 days under RCP 8.5. The FGP increases up to 19.5% for Gorgan and 21.3% for Varamin under climatic scenarios relative to baseline, and it will not change in the future climate for other landraces. In conclusion, global warming can result in rapid, uniform, and complete germination in different tomato landraces.

1. Introduction

In the 21st century, the average global temperature is predicted to elevate from 2 to 4.5 °C. According to IPCC-2014 (http://www.ipcc.ch/ accessed on 6 January 2022), the earth is expected to experience the most warming period between the 19th and the 21st centuries [1]. The studies demonstrated that climate change is causing an increase in mean temperature and precipitation variability in different regions of the world [2,3]. Climate change will misadjust the interactions between climate and biology, from the enzymatic process to ecological responses [4]. Climate change has significant effects on all stages of plant development, from seed germination to maturity [5,6].
The effects of ongoing climate change on plant yield have been extensively studied [7,8]. For instance, climate change from 1980 to 2008 has resulted in reduced global production of maize by 3.8% and wheat by 5.5% compared with a counterfactual without climate change [9]. A recent meta-analysis—based on the published simulation studies on climate change impacts on yields and adaptation—showed that without adaptation, there will be losses in production for wheat, rice, and maize in both temperate and tropical regions by 2 °C of local warming [10].
Climate thoroughly controls key processes such as plant regeneration, as is exemplified by the thermal regulation of seed germination [11]. Seed germination and seedling emergence are critical phases of a crop cycle that affect the success or failure of any crop establishment [12]. Successful seed germination occurs in response to a specific combination of environmental factors such as temperature, moisture, and light [13]. Soil moisture in most areas is not limiting for seed germination due to pre-sowing irrigation or adequate autumn, winter, and early spring precipitation, while the temperature can be a determinative factor [14,15].
Tomato (Solanum lycopersicum L.), as a warm-season plant, is usually grown in the greenhouse (indirect seeding), but it can also be cultivated in the open field (direct seeding) by suitable sowing date in the spring after the danger of frost has passed [16]. Tomatoes will be properly grown if the daytime temperature is between 18 and 30 °C [17]. The temperature can determine seed germination and subsequent seedling establishment and crop growth status and thus is a vital step in crop growth [13]. Rapid, uniform, and complete germination is leading to improve seedling establishment and rapid canopy closure. This results in increasing intercepted radiation and plant growth rate and consequently maximizing plant yield [18,19]. Temperature drives local adaptation [20,21] and phenotypic plasticity [22,23,24] in germination traits, as well as the physiological processes of dormancy loss [15,25] and germination elicitation [26]. Local populations or landraces have developed over time through adaptation to their natural and maternal growing environment and originated by adaptive responses to local habitats [27]. So, in seasonal climates, germination traits of landraces coincide with annual temperature cycles to ensure that seed emergence and seedling establishment occur in the most favorable season [13]. Given the significance of seed germination in the life history of a plant, it is not surprising that its timing is a central scenario for natural selection [28].
Although germination response to environmental factors has been widely investigated for different species [29,30,31], knowledge of seed germination response of tomato landraces and their geographical distribution is scarce under future climate conditions. Accordingly, the aims of this study are: (1) quantify the response of seed germination, time to reach 50% germination and germination rate of six tomato landraces collected from different climatic zones of Iran to different temperature conditions, (2) prediction of future climate change relative to baseline period for studied landraces (locations) in the courses of near-term (2010–2039) and mid-term (2040–2069) with the use of Global Circulation Models (GCM) of HadGEM2-ES (HadGEM) and IPSL-CM5A-MR (IPSL) from the Coupled Model Inter-comparison Project Phase 5 (CMIP5) for two Representative Concentration Pathways (RCP 4.5 and RCP 8.5) of the International Panel on Climate Change (IPCC) and (3) assessment of the impact of future climate changes on the final germination percentage and time to reach 50% germination in the studied landraces.

2. Materials and methods

2.1. Seed Collection

Seeds of six tomato landraces were collected from six different locations (Rasht, Sari, Gorgan, Esfarayen, Varamin, and Shiraz) in 2017, which represent the different geographical regions in Iran (Table 1). All seeds were kept in cold storage to maintain seed quality before testing.

2.2. Study Area

Rasht, Sari, and Gorgan are located in the north of Iran, between the northern slopes of the Alborz Mountains and the southern coast of the Caspian Sea. Gorgan has a Mediterranean climate (Köppen climate classification: Csa), with warm and sub-humid summers and cool and rainy winters. Rasht and Sari have a humid subtropical climate (Cfa), with warm and humid summers and cool and rainy winters. Esfarayen is located in the northeastern of Iran. It is mountainous in the north and northeast and plain in the south and center. The Köppen climate classification for Esfarayen’s climate is Mediterranean (Csa), with hot and dry summers and relatively mild winter. Varamin is located on the northwest edge of the central desert of Iran. According to the Köppen Climate Classification, Varamin’s climate is a hot semi-arid climate (Bsh). This climate tends to have hot, sometimes extremely hot, summers and warm to cool winters, with some to minimal precipitation. Shiraz is located in the south of Iran. It is built in a green plain at the foot of the Zagros Mountains. Shiraz’s climate is overall classed as a hot semi-arid climate (BSk). Summers are hot, arid, and clear, and the winters are cool and semi-arid.

2.3. Germination Tests

For each treatment, 150 seeds in three replicates of 50 seeds were placed on a double layer of absorbent filter paper in 10 cm Petri dishes and moistened with 10 mL distilled water. Seeds of each landrace were germinated in an incubator (model ICP-600, Memmert, Germany) at seven temperatures (10, 15, 20, 25, 30, 35, and 40 °C). Seed germination progress was monitored at every 8–12 h intervals over a 7- to 14-day period. Seeds with radicles 2 mm or longer were considered germinated seeds. During the germination process, germinated seeds were counted and removed from Petri dishes.
The final germination percentage (FGP) was calculated for each temperature and replicated by dividing the total number of germinated seeds by the total number of seeds tested.
The dent-like function was used to describe the response of germination percentage to temperature. The function was described as follows [32]:
FGP = (T − Tb)/(To1 − Tb) if Tb < T < To1
FGP = (Tc − T)/(Tc − To2) if To2 < T < Tc
FGP = 1 if To1 ≤ T ≤ To2
FGP = 0 if T ≤ Tb or T ≥ Tc
where T is the germination temperature, Tb the base temperature, To the optimum temperature, To1 the lower optimum temperature, To2 the upper optimum temperature, Tc the ceiling temperature.
Estimates of the time required to 50% of seed germination (D50) in each temperature and replicate were interpolated from the progress of germination (%) versus time (hours) curve. To quantify the response of germination rate (R50; the inverse of D50) to temperature, the following segmented model was used [14]:
R50 = (T − Tb)/(To − Tb) if Tb < T ≤ To
R50 = (Tc − T)/(Tc − To) if To ≤ T < Tc
R50 = 0 if T ≤ Tb or T ≥ Tc
where T is the germination temperature, Tb, To and Tc are the base, optimum and ceiling temperatures for germination rate, respectively.
Thermal time (TT) in terms of °C d−1 was calculated as follows:
TT = [(To − Tb) × D50]/24
Data obtained from the experiments were first subjected to analysis of variance. The function parameters were estimated by the least-squares method using the non-linear (NLIN) regression procedure in SAS (SAS Institute Inc., Cary, NC, USA, 2013). Means of treatments and estimated parameters were compared using the standard error (±2SE) at 5% level of probability.

2.4. Future Climate Projection

The baseline weather data (1980–2009), including daily maximum temperature (Tmax, °C) and minimum temperature (Tmin, °C), were obtained from the synoptic meteorological station of studied locations (Rasht, Sari, Gorgan, Esfarayen, Varamin, and Shiraz). Quality control of weather data was performed using the WeatherMan program in the DSSAT model [33].
Future climates, including courses of near-term (2010–2039) and mid-term (2040–2069) were predicted with the use of Global Circulation Models (GCM) of HadGEM2-ES (HadGEM) and IPSL-CM5A-MR (IPSL) from the Coupled Model Intercomparison Project Phase 5 (CMIP5) for two Representative Concentration Pathways (RCP 4.5 and RCP 8.5) of the International Panel on Climate Change (IPCC) on a large scale [34,35]. The RCPs differ from each other in the assumptions of population, economic growth, energy consumption, and sources, and land use [36]. The RCP 4.5 is a medium pathway that stabilizes the radiative forcing at 4.5 w.m−2 by 2100 without overshoot [37], while RCP 8.5 assumes a rising Greenhouse Gases (GHG) pathway in absence of climate change policies [38].
The GCMs projections were downscaled and calculated via the delta method. For temperature projection in a given weather station, the delta method adds the differences between simulated current and future temperature from the GCM (HadGEM or IPSL) to the observed temperature of that station. Delta method scripts were run in “R” to develop future climate scenarios by using scripts of the delta method [39,40,41].

2.5. Assessing the Current and Future Temperature on Germination

The survey investigations showed that the tomato is sowed when the air temperature under plastic cover is 20 °C which coincided with DOY (day of year) of 69 to 139 for Esfarayen, 50 to 120 for Gorgan, 56 to 132 for Rasht, 70 to 110 for Sari, 65 to 99 for Shiraz and 55 to 101 for Varamin during a 30-year baseline and future periods. Finally, the mean temperature of the sowing period was calculated for the baseline, near-term and mid-term periods under both RCPs.
In order to protect the germinated seeds against the risk of early cold in direct tomato cultivation, the seeds are planted under a plastic cover, and it is removed after eliminating the risk of cold in 3- to 4-leaf stage. Regarding changing temperature under the plastic cover compared with the air temperature, a power relationship was used to estimate the temperature under the plastic cover (y) through air mean temperature of the baseline period and near and mid-term periods under both RCP 4.5 and RCP 8.5 (x) as below [42]:
y = 3.0378x0.7042
Consequently, using the results obtained in Equations (1) and (2) for tomato landraces, the germination responses against mean temperature under the plastic cover of baseline and future periods were considered.

3. Results

3.1. Final Germination Percentage

Final germination percentage (FGP) was significantly affected by landrace (F = 46.238, p < 0.001), temperature (F = 128.205, p < 0.001) and their interactions (F = 15.680, p < 0.001). For each landrace, FGP increased with increasing temperature to reach the highest value (more than 90%) under a given temperature range and then decreased with increasing temperature (Figure 1; Table 2). The germination temperatures where FGP reached the highest values varied among the landraces. For all landraces, germination was started above 10 °C, reached the highest value at 15–30 °C for Esfarayen, Rasht and Sari landraces, 15–32 °C for Shiraz landrace, 20–31 °C for Gorgan landrace, and 20–35 °C for Varamin landrace, and ceased at 36 °C for Esfarayen, and Rasht landraces, 37 °C for Sari and Shiraz landraces and 40 °C for Gorgan and Varamin landraces (Figure 1).

3.2. Germination Time

Under the temperature of 15 °C, Gorgan landrace seeds did not reach 50% of germination; thus, the time to 50% germination (D50) at 15 °C was not calculated and compared. The D50 was greatly affected by landrace (F = 35.83, p < 0.001), temperature (F = 97.79, p < 0.001) and the interactions of both parameters (F = 78.66, p < 0.001). For Esfarayen, Gorgan, Sari, Shiraz, and Varamin landraces, the minimum D50 was observed at the temperature of 30 °C, and the corresponding D50 was 54, 22, 25, 41, and 23 h, respectively (Figure 2), while for the Rasht landrace, the lowest D50 was obtained at the temperature of 25 °C (43 h) (Figure 2). Seeds of landraces germinated slowly under lower temperature regimes (15 or 20 °C) but accelerated greatly when incubation temperature increased. For example, in Varamin landrace, D50 was reduced by 72, 81, 87, and 12% when the temperature increased from 15 to 35 °C relative to 30 °C (Figure 2).

3.3. Germination Rate

The inverse of the time required for the germination process corresponds to the rate of germination. The germination rate is described mathematically using a segmented function that fits the measured germination rate data (Figure 3; Table 3). The intersection of the two regression lines indicates the maximum germination rate and optimum temperature. The maximum germination rate (Rmax) varied from 0.0248 to 0.0461 h−1, the inverse of 40.3 to 21.7 h, among different landraces. The values of Rmax occurred at temperatures of 27.2–30.9 °C, the so-called optimum temperature (To). The intersections of regression lines with the x-axis indicated the Tb and Tc at which the rate germination is zero. The germination rate increased linearly at temperatures between Tb and To and decreased linearly at temperatures between To and Tc for all landraces (Figure 3). The value of Tb was estimated from 10.3 to 11.9 °C among the landraces. The value of Tc was fixed at 36 °C for all landraces. We found no statistically significant difference among values of Tb, and also, there was no significant difference among values of To, although there were small variations in both Tb and to values.

3.4. Climate Change Scenarios

As indicated in Figure 4, the baseline mean temperature during the sowing period varied from 17.7 to 18.6 °C in studied locations. There is a temperature difference of 0.9 °C among the locations. The lowest mean temperature of the sowing period was related to Esfarayen, and the highest mean temperature was for Sari (Figure 4).
Climatic scenario projections indicated that there would be an increase in mean temperature during the sowing period in both the near term and mid-term. The mean temperature is expected to increase from 0.8 to 1.3 °C in the near term and 1.5 to 2.7 °C in the mid-term under RCP 4.5 relative to the baseline (Figure 5). The temperature increase would be more severe under RCP 8.5, especially in the mid-term, with an increase of 0.9 to 1.9 °C for the near term and 2.3 to 3.4 °C for the mid-term (Figure 5).
It was found the variation in the derived-model projections for each location (Figure 5). The difference between derived-model projections of HadGEM and IPSL varied from −1.0 to 0.6 °C. For example, the difference between HadGEM and IPSL model projections was −0.2 °C for Varamin in the near term under RCP 4.5 that reached 0 °C under RCP 8.5. In contrast, the differences were −0.8 and −0.4 °C in the mid-term under RCPs 4.5 and 8.5, respectively. Furthermore, there was no difference between HadGEM and IPSL projections in increasing temperature, such as projection in the near term under RCPs 4.5 and 8.5 for Sari and RCP 4.5 for Rasht.

3.5. Effect of Future Climate on Germination

The results showed that the FGP would not change in the future climate for Esfarayen, Rasht, Sari, and Shiraz under none of the climatic scenarios. However, the FGP increased up to 19.5% for Gorgan and 21.3% for Varamin under climatic scenarios relative to baseline. In the near term, FGP would be 85 to 90% for Gorgan and 81 to 84% for Varamin. With increasing the mean temperature in the mid-term, FGP would increase up to 92–97% for Gorgan and 86–94% for Varamin.
The time to germination would be decreased with increasing mean temperature under future climate conditions. Regarding the baseline mean temperature (Figure 4), it is estimated that the time to germination takes 2.5 to 3.8 days among the locations (Figure 6). The germination period would be 2.3 to 3.3 days for HadGEM and 2.2 to 3.4 days for IPSL in the near term under RCP 4.5. The germination duration will be shorter under RCP 8.5 and reach 2.1 to 3.1 days for HadGEM and 2.1 to 3.3 days for the IPSL model. For the mid-term and RCP 4.5, the germination time would be projected between 2.1 to 2.9 days under HadGEM and 1.9 to 2.8 days under IPSL model. Under RCP 8.5, this would be 1.9 to 2.6 days for HadGEM model and 1.8 to 2.7 days for IPSL model.

4. Discussion

In the present study, FGP varied from 0 to 100% under temperatures between 10 and 40 °C. Furthermore, the FGP was varied among the landraces. The germination in most landraces ceased at 37 °C, while at this temperature, the germination percentage was 32% for Gorgan and 60% for Varamin, which shows their adaptation to high temperatures. Similarly, Calzada-López et al. [43] indicated that the FGP values varied among different tomato cultivars. They showed that germination percentage was negligible at temperatures of 7–9 °C and 45 °C. The required temperatures (15–30 °C) to reach the highest FGP in the present study are partly similar to values (15–35 °C) reported by Calzada-López et al. [43]. Furthermore, this is in agreement with the findings of Bidgoly et al. [32] and Zaferanieh et al. [19].
The estimate of cardinal temperatures (10.3–11.9, 27.2–30.9, and 36 °C) in the present study was within the range reported for most developmental stages of tropical crops [14,44]. The Tb values varied among landraces with a range of only 1.6 °C (Table 2). However, the Tb values are similar to Tb of 12–13.5 °C reported for other tomato cultivars by Cheng and Bradford [45], 6–10 °C by Jones [46], and 7.7–9.9 °C by Sousaraei et al. [47]. The optimum and ceiling temperatures estimated in the present study were consistent with an optimum temperature of 25.5–29.5 °C, and the ceiling temperature of 35 °C was reported for tomatoes [48]. Overall, the results obtained indicated that the time to germination onset increased as the temperature was away from the optimum temperature. The variation in FGP, CT and D50 in this study could also be attributed to the seed genetic diversity [49], the nutritional condition of the seeds on parental plants, and the environmental condition of seed production [50,51]. These factors probably change the biological processes in seed, such as water absorption or activity of enzymes or hormones [52]. Toh et al. [53] and Essemine et al. [54] have demonstrated that seed germination is inhibited with an increase in temperature through the induction of ABA. At high temperatures, the germination rate is strictly prohibited and causes cell death and embryos, for which the seedling establishment rate is also reduced [55].
This study shows that increasing temperature in the future plays an important impact in the germination process in the analyzed landraces and will lead to a decrease in the germination duration. The most important findings of the present study are that the FGP and D50 of landraces varied with increasing temperature in the future climatic condition. Contrary to the expectations [56,57], the temperature increase in future climatic scenarios did not change FGP, except for Gorgan and Varamin landraces. The increase in FGP for Gorgan and Varamin was due to approaching future temperatures to the optimum temperature for FGP in these landraces (20.5 °C). In other landraces, the projected temperature in future climatic scenarios placed on the range of optimal temperature for FGP; thus, it was not observed any changes in FGP under the future climatic scenarios. Furthermore, it was shown that the D50 decreased as the temperature in the future climatic scenarios approached the optimum temperature for germination rate in all landraces; 27 to 31 °C depending on the landrace. Milbau et al. [58] observed that an increase in temperature (+2.5 °C) strongly reduced the germination duration, while FGP did not change. Similarly, Duarte et al. [5] showed that the time required to sum thermal time to germinate was reduced under the warming scenarios, but the probability of persistence was decreased for Racinaea aerisincola in the rupestrian grasslands due to its limited seed germination window.
Chhetri and Rawal [59] showed that generally, temperature rise across the hot tropical areas might result in greater vulnerability in species germination and establishment than the warm and cooler areas. For example, low establishment potential and failure for most of the species under the future climatic condition across hotter regions such as Dumkauli (a region in Nepal) and Rampur (a region in India) suggest that these regions may become more vulnerable to climate change in the future. Dumkauli and Rampur have higher temperature conditions than the other study regions, and high-temperature conditions leading to increased evaporation can make the soil conditions dry, consequently affecting species establishment and physiological activities [60,61].
In the present study, variations in FGP and D50 probably demonstrated that germination requirements could change sowing dates for each landrace. This finding is in agreement with other researchers [29,62]. Sowing date adaptation is, by far, the most frequently investigated climate change adaptation option [63]. Of course, change in the sowing date requires further study of the effect of climate change on other developmental stages, growth, and yield. Van Ittersum and Rabbinge [64] indicated that the early sowing under future climate scenarios provides higher yield benefits. This is due to a prolonged vegetation period and a higher amount of intercepted solar radiation, as is the case for many field crops.

5. Conclusions

In general, it can conclude that global warming can result in rapid, uniform, and complete germination in different tomato landraces. However, to obtain the maximum yield, it is suggested to consider the impacts of global warming on different development and growth processes which lead to high yields by shortening the time from sowing to complete ground cover and allowing the establishment of optimum canopy structure to minimize inter-plant competition.

Author Contributions

K.M., B.T. and J.M. conceived the study; N.S. carried out the experiments and wrote the manuscript; N.S., B.T. and E.S. analyzed the data. All authors have read and agreed to the published version of the manuscript.

Funding

The research was funded by the Gorgan University of Agricultural Science and Natural Resource, Gorgan, Iran.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors thanked the Gorgan University of Agricultural Sciences and Natural Resource, Iran, for providing research facilities and funds.

Conflicts of Interest

The authors declare no conflict of interest.

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Seeds 01 00005 g001 550
Figure 1. Relations between the final germination percentage (FGP) and temperature for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin). The lines indicate the drawn dent-like function based on estimated function parameters, shown in Table 2.
Figure 1. Relations between the final germination percentage (FGP) and temperature for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin). The lines indicate the drawn dent-like function based on estimated function parameters, shown in Table 2.
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Figure 2. Time to 50% germination (D50; hours) with standard error for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin) under different temperature regimes (15, 20, 25, 30, and 35 °C).
Figure 2. Time to 50% germination (D50; hours) with standard error for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin) under different temperature regimes (15, 20, 25, 30, and 35 °C).
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Figure 3. Relations between the germination rate and temperature for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin). The lines indicate the drawn segmented function based on function parameter estimates shown in Table 3.
Figure 3. Relations between the germination rate and temperature for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin). The lines indicate the drawn segmented function based on function parameter estimates shown in Table 3.
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Figure 4. Mean temperature of sowing period across baseline period (1980–2009) for six locations (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin).
Figure 4. Mean temperature of sowing period across baseline period (1980–2009) for six locations (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin).
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Figure 5. Change in mean temperature of sowing period in future climatic scenarios relative to baseline period (1980–2009) in six locations (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin). Near, Near-term (2010–2039); Mid, Mid-term (2040–2069); HG, HadGEM; IP, IPSL; 4.5, RCP 4.5; 8.5, RCP 8.5.
Figure 5. Change in mean temperature of sowing period in future climatic scenarios relative to baseline period (1980–2009) in six locations (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin). Near, Near-term (2010–2039); Mid, Mid-term (2040–2069); HG, HadGEM; IP, IPSL; 4.5, RCP 4.5; 8.5, RCP 8.5.
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Figure 6. The value of FGP and D50 for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin) under eight future climatic scenarios. Near, Near-term (2010–2039); Mid, Mid-term (2040–2069); HG, HadGEM; IP, IPSL; 4.5, RCP 4.5; 8.5, RCP 8.5.
Figure 6. The value of FGP and D50 for six tomato landraces (Esfarayen, Gorgan, Rasht, Sari, Shiraz, and Varamin) under eight future climatic scenarios. Near, Near-term (2010–2039); Mid, Mid-term (2040–2069); HG, HadGEM; IP, IPSL; 4.5, RCP 4.5; 8.5, RCP 8.5.
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Table
Table 1. Geographical and meteorological characterizations of the origin of tomato landraces used in this experiment.
Table 1. Geographical and meteorological characterizations of the origin of tomato landraces used in this experiment.
LocationLatitude and LongitudeAverage Annual Temperature (°C)Average Annual Rainfall (mm)Above Sea Level (m)
Rasht37.16° N, 49.36° E16.513595
Gorgan36.83° N, 54.48° E18.4675155
Esfarayen37.73° N, 57.5° E16.52121249
Sari36.4° N, 53.5° E18.278932
Varamin35.32° N, 51.64° E18156918
Shiraz29.61° N, 52.54° E18.43371486
Table
Table 2. Estimates (±SE) of base temperature (Tb, °C), optimum temperature (To1 and To2, °C) and ceiling temperature (Tc, °C) for germination of six tomato landraces using dent-like function.
Table 2. Estimates (±SE) of base temperature (Tb, °C), optimum temperature (To1 and To2, °C) and ceiling temperature (Tc, °C) for germination of six tomato landraces using dent-like function.
LandraceTb ± SETo1 ± SETo2 ± SETc ± SE
Esfarayen9.9 ± 0.2115.2 ± 0.2229.6 ± 0.2736 ± 0.20
Gorgan10 ± 0.3420.5 ± 0.3730.8 ± 0.6840.2 ± 0.35
Rasht10± 0.0615.2 ± 0.0829.5 ± 0.0935.5 ± 0.06
Sari9.9 ± 0.0515.7 ± 0.0529.9 ± 0.0537.6 ± 0.10
Shiraz10 ± 0.0815 ± 0.1031.9 ± 0.3137 ± 0.09
Varamin9.9 ± 0.3320.5 ± 0.3535 ± 0.1740.1 ± 0.18
Table
Table 3. Estimates (±SE) of base temperature (Tb, °C), optimum temperature (To, °C), maximum germination rate (h−1), minimum time required for germination (Dmin, h) and thermal time (TT, °C d−1) for germination of six tomato landraces using segmented function. The ceiling temperature (Tc, °C) was considered fixed.
Table 3. Estimates (±SE) of base temperature (Tb, °C), optimum temperature (To, °C), maximum germination rate (h−1), minimum time required for germination (Dmin, h) and thermal time (TT, °C d−1) for germination of six tomato landraces using segmented function. The ceiling temperature (Tc, °C) was considered fixed.
LandraceTb ± SETo ± SETcRmaxDminTT
Esfarayen10.3 ± 0.9927.2 ± 0.49360.024840.335.7
Gorgan11.5 ± 0.2030.9 ± 0.23360.046121.715.7
Rasht10.9 ± 0.3428.1 ± 0.15360.028435.224.3
Sari11.9 ± 0.8929.9 ± 0.31360.041124.324.3
Shiraz10.6 ± 0.6728.7 ± 0.26360.028235.524.7
Varamin11.3 ± 0.3930.0 ± 0.12360.043723.016.8
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Sousaraei, N.; Torabi, B.; Soltani, E.; Mashayekhi, K.; Medina, J. Differential Seed Germination Responses of Tomato Landraces to Temperature under Climate Change Scenarios. Seeds 2022, 1, 36-48. https://doi.org/10.3390/seeds1010005

AMA Style

Sousaraei N, Torabi B, Soltani E, Mashayekhi K, Medina J. Differential Seed Germination Responses of Tomato Landraces to Temperature under Climate Change Scenarios. Seeds. 2022; 1(1):36-48. https://doi.org/10.3390/seeds1010005

Chicago/Turabian Style

Sousaraei, Naeimeh, Benjamin Torabi, Elias Soltani, Kambiz Mashayekhi, and Joaquín Medina. 2022. "Differential Seed Germination Responses of Tomato Landraces to Temperature under Climate Change Scenarios" Seeds 1, no. 1: 36-48. https://doi.org/10.3390/seeds1010005

APA Style

Sousaraei, N., Torabi, B., Soltani, E., Mashayekhi, K., & Medina, J. (2022). Differential Seed Germination Responses of Tomato Landraces to Temperature under Climate Change Scenarios. Seeds, 1(1), 36-48. https://doi.org/10.3390/seeds1010005

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