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Annals of Botany logoLink to Annals of Botany
. 2013 Mar 1;111(5):849–858. doi: 10.1093/aob/mct046

Quantitative analysis of the thermal requirements for stepwise physical dormancy-break in seeds of the winter annual Geranium carolinianum (Geraniaceae)

N S Gama-Arachchige 1,*, J M Baskin 1, R L Geneve 2, C C Baskin 1,3
PMCID: PMC3631331  PMID: 23456728

Abstract

Background and Aims

Physical dormancy (PY)-break in some annual plant species is a two-step process controlled by two different temperature and/or moisture regimes. The thermal time model has been used to quantify PY-break in several species of Fabaceae, but not to describe stepwise PY-break. The primary aims of this study were to quantify the thermal requirement for sensitivity induction by developing a thermal time model and to propose a mechanism for stepwise PY-breaking in the winter annual Geranium carolinianum.

Methods

Seeds of G. carolinianum were stored under dry conditions at different constant and alternating temperatures to induce sensitivity (step I). Sensitivity induction was analysed based on the thermal time approach using the Gompertz function. The effect of temperature on step II was studied by incubating sensitive seeds at low temperatures. Scanning electron microscopy, penetrometer techniques, and different humidity levels and temperatures were used to explain the mechanism of stepwise PY-break.

Key Results

The base temperature (Tb) for sensitivity induction was 17·2 °C and constant for all seed fractions of the population. Thermal time for sensitivity induction during step I in the PY-breaking process agreed with the three-parameter Gompertz model. Step II (PY-break) did not agree with the thermal time concept. Q10 values for the rate of sensitivity induction and PY-break were between 2·0 and 3·5 and between 0·02 and 0·1, respectively. The force required to separate the water gap palisade layer from the sub-palisade layer was significantly reduced after sensitivity induction.

Conclusions

Step I and step II in PY-breaking of G. carolinianum are controlled by chemical and physical processes, respectively. This study indicates the feasibility of applying the developed thermal time model to predict or manipulate sensitivity induction in seeds with two-step PY-breaking processes. The model is the first and most detailed one yet developed for sensitivity induction in PY-break.

Keywords: Geraniaceae, Geranium carolinianum, physical dormancy-break, PY-breaking mechanism, sensitivity induction, stepwise PY-break, thermal time model, winter annual

INTRODUCTION

Temperature is the primary factor involved in breaking of physical dormancy (PY) (Taylor, 2005). Depending on the species, PY-break in seeds can take place either in one step or in two steps (Gama-Arachchige et al., 2012). The process of PY-breaking in seeds of certain annual species takes place in two steps controlled by two different temperature (Taylor, 1981, 2005) and/or moisture regimes (Gama-Arachchige et al., 2012). During the first step, PY-seeds become sensitized to dormancy-breaking treatment(s), yet they remain impermeable. During the second step, seeds become permeable upon exposure to the appropriate environmental conditions (Jayasuriya et al., 2008, 2009; Gama-Arachchige et al., 2012).

The concept of thermal time, i.e. the exposure to a temperature above a threshold level for a particular time period, has been successfully applied in determining and comparing the rates of various physiological events in plants and poikilothermic invertebrates (Trudgill et al., 2005). This concept has been employed in describing and quantifying physiological dormancy (PD)-break by after-ripening (Bradford, 2002; Batlla et al., 2009) and single-step PY-break (McDonald, 2000). However, the concept of thermal time has not been used for the explanation of stepwise PY-breaking processes.

Geranium carolinianum is a winter annual weed, native to eastern North America, and is reported to be a naturalized weed in many parts of the world including Australia, China, Great Britain, Japan, Italy and South America. Mature seeds of G. carolinianum exhibit PY and shallow PD (Aedo et al., 1998; Aedo, 2000; Gama-Arachchige et al., 2012).

The water gap region is a morphoanatomically specialized area in the seed or fruit coat in species with PY that opens during PY-breaking and allows the entry of water into the seed during imbibition. In Geraniaceae, a small opening near the micropyle (hinged valve gap) acts as the water gap (Gama-Arachchige et al., 2010). PY-break in G. carolinianum, a temperature- and time-dependent process, occurs in two temperature-dependent steps. During the first step, seeds become sensitive when stored at temperatures ≥20 °C. In the second step, sensitive seeds are made permeable when exposed to temperatures ≤20 °C (Gama-Arachchige et al., 2012).

On breaking of PY, the water gap region in seeds of G. carolinianum becomes visible as a brownish orange colour. Application of pressure causes a similar colour change in the palisade cells of the water gap region while making the seeds permeable (Gama-Arachchige et al., 2010). It has been shown that the pressure that builds up upon heating under the palisade layers of the lens in seeds of Acacia kempeana (Hanna, 1984) and under the bulges in seeds of Ipomoea lacunosa (Jayasuriya et al., 2008) causes the water gap palisades to pop off, forming the water gap opening(s). However, the colour change in the water gap region of G. carolinianum takes place when sensitive seeds are placed at a lower temperature than the sensitivity-inducing temperature. Therefore, a pressure build-up under the water gap palisades in G. carolinianum is unlikely.

The objectives of the current study on seeds of G. carolinianum were to (1) investigate the role of temperature in driving the two steps of PY-breaking; (2) establish a thermal time (degree-weeks) model to explain sensitivity induction quantitatively; and (3) propose a mechanism to explain PY-breaking, focusing on the water gap region.

MATERIALS AND METHODS

Seed collection and preparation

Stems of Geranium carolinianum bearing mature fruits were collected from plants growing on Spindletop Farm, Lexington, KY, USA, on 1 June 2011. They were covered with a mesh cloth and allowed to dry for 3 d inside a non-heated greenhouse. Seeds released naturally were collected and stored in a refrigerator (approx. 5 °C, dry storage) until used. Experiments were started within 2 weeks of seed collection.

Step I: induction of sensitivity

Sensitivity induction test

To calculate the thermal time required for sensitivity induction, seeds were stored dry at constant temperatures of 5, 10, 15, 20, 25, 30, 35 and 40 °C in Petri dishes for 20 weeks. Cool white fluorescent light at 400–700 nm was supplied continuously, at approx. 40 µmol m−2 s−1.

Due to the lack of visible changes, insensitive seeds cannot be distinguished from sensitive seeds (Gama-Arachchige et al., 2010). Therefore, the ability to imbibe water after exposure to low temperatures (≤20 °C) was selected as an indication of sensitivity (Gama-Arachchige et al., 2012). A sample of 100 seeds was retrieved from each storage temperature every week and incubated at 10 °C (under the same light conditions) on moist sand in five replicates of 20 seeds each. The number of imbibed seeds was counted after 2 weeks.

To study the relationship between storage temperature and sensitivity induction, the Arrhenius plot was constructed using sensitivity induction rates 1/T50 (where T50 = storage time taken for 50 % of the seeds to become sensitive) plotted against the reciprocal of storage temperature (1/T).

Development of the model

The model was developed based on the assumptions that seed sensitivity induction is irreversible and the base temperature to induce sensitivity is constant for all the sub-populations (Gama-Arachchige et al., 2012).

The induction of sensitivity (step I) was assessed in relation to the accumulation of thermal time. The thermal time units required for induction of sensitivity were calculated using the following function:

graphic file with name mct046eqn1.jpg (1)

where θPY is the thermal time (°Cweeks) to induce sensitivity, Ts is the temperature at which seeds were stored (°C), Tb is the base temperature to induce sensitivity (°C) and tPY is the storage time (weeks).

The base temperature was estimated using the reciprocal of the time required for sensitivity induction (rate of sensitivity induction). The PROBIT procedure in SAS ver. 9·2 was applied to estimate the time required for the induction of sensitivity in sub-populations of 25, 50 and 75 % of seeds. The rates of sensitivity induction were plotted against storage temperature and a linear regression model was fitted to estimate the x-intercept for each percentile. The average value of x-intercepts was considered as the base temperature (Steinmaus et al., 2000; Bazin et al., 2011).

To determine the best model that describes the distribution of θPY within a population, Gompertz, Hill, Logistic, Sigmoid and Weibull functions were applied using the global curve fitting option in Sigmaplot ver. 12·0. The best fit was first examined by superimposing the curve on the data points (Motulsky and Ranasnas, 1987). Then, to select the best model, the candidate models were compared with the corrected Akaike Information Criterion (AICc) that considers model complexity and modelling accuracy (Burnham et al., 2011; Symonds and Moussalli, 2011; Eizenberg et al., 2012):

graphic file with name mct046eqn2.jpg (2)

where k is the number of fitted parameters in the model, n the number of observations in the model and RSS the residual sum of squares. A lower AICc value indicates better fit of the model to the observed data, with the best approximating model being the one with the lowest AICc value (Symonds and Moussalli, 2011).

The model was evaluated based on root mean square error (RMSE):

graphic file with name mct046eqn3.jpg (3)

where yobs and ypred are the observed and predicted imbibition values, respectively, and n the number of observations in the model. Smaller RMSE values indicate better fit of the model to the observed data.

Model validation

The model validation was performed using the results from sensitivity induction by alternating storage temperatures and non-heated greenhouse experiments.

Alternating temperatures. Seeds were stored at alternating temperatures of 15/6, 20/10, 25/15, 30/15, 30/20 and 40/25 °C in Petri dishes. High and low temperatures were supplied on a 12 h/12 h daily basis under light/dark conditions (14/10 h; under the same light conditions as described above). From each storage temperature, a sample of 100 seeds was retrieved every week and incubated at 10 °C on moist sand in five replicates. The number of imbibed seeds was counted after 2 weeks.

Non-heated greenhouse. Twenty seeds each were placed on dry sand in 100 plastic Petri dishes, which were placed on trays filled with potting soil inside a non-heated greenhouse. Air temperature inside the greenhouse was recorded at 30 min intervals using a Thermochron ibutton (DS 1921G#F50) and daily average temperatures were calculated. Each week, five Petri dishes were retrieved and the sand was moistened with distilled water. They were incubated at 10 °C under the same light conditions. The number of imbibed seeds was counted after 2 weeks.

The thermal time units required for induction of sensitivity for the alternating temperatures 30/20, 35/20 and 40/25 °C, and non-heated greenhouse experiments were calculated using eqn (4) and for alternating temperatures where the low temperature period is ≤15 °C using eqn (5):

graphic file with name mct046eqn4.jpg (4)
graphic file with name mct046eqn5.jpg (5)

where θPY is the thermal time (°Cweeks) to induce sensitivity, Tavg the average temperature at which seeds were stored/average daily temperature in the greenhouse (°C), Th the high temperature period (°C), Tb the base temperature to induce sensitivity (°C) and tPY the storage time (weeks).

Cumulative percentages of sensitive seeds from alternating temperature and greenhouse experiments were plotted against thermal time, and the developed thermal time model (three-parameter Gompertz) was superimposed to compare the actual thermal induction and predicted thermal time by the model. Goodness of fit of the developed model was estimated for each alternating storage temperature and non-heated greenhouse data according to RMSE values.

Step II: breaking of PY

Effect of temperature on PY-break

To determine the effect of temperature on PY-break in step II, seeds were stored at 30 °C in Petri dishes for 4 months to induce sensitivity. An approx. 2 mm layer of moulding clay was spread inside a Petri dish and 20 sensitive seeds without the colour change in the water gap region were embedded so that the water gap was pointing upwards. The open Petri dish was immersed in a temperature-controlled water bath and observed for colour change at the water gap as an indication of PY-break. The number of seeds with a colour change was counted at 15 s intervals for 1 h. The procedure was repeated with five replicates for each temperature regime (5, 10, 15, 20, 25, 30, 35 and 40 °C). A water bath temperature of 5, 10, 15 and 20 °C was maintained using ice, while a hot plate was used to achieve the higher temperatures.

To study the relationship between incubation temperature and PY-break, the Arrhenius plot was constructed using PY-breaking rates 1/T50 (where, T50 = incubation time taken for 50 % of the seeds to become permeable) plotted against the reciprocal of incubation temperature (1/T).

Determination of separation force

To determine the force required for separation of the water gap palisade cell layer from the sub-palisade layer during the PY-breaking step, 50 seeds made sensitive by storing them at 25 °C for 5 months and 50 insensitive seeds (untreated) were cut transversely into two halves. The halves with the micropyle were glued at the cut surface onto wooden blocks (Supplementary Data Fig. S1). The separation force was measured with a Chatillon® DFM10 penetrometer. A probe with a blunt tip 0·2 mm in diameter was fixed to the penetrometer and the micropyle was touched with the tip of the probe. As the stage of the penetrometer was moved upwards, observations were made under a microscope until a colour change was seen at the micropyle–watergap region, at which time the maximum force reading was recorded.

The effect of external cooling

To determine the internal temperature of seeds upon external cooling, 60 seeds were made sensitive by storing them for 5 months at room temperature (approx. 23 °C). Using a 0·45 mm drill bit, a hole was drilled in each seed up to the sub-palisade layer of the water gap end, starting at the widest point of the seed at the end opposite the water gap. The probe of a type K micro-thermocouple (0·432 mm width) was inserted into the drill hole of a seed. The water gap end of the seed was placed on the water surface in a temperature-controlled water bath and the internal temperature of the seed was recorded at 1 s intervals for 1 min using LASCAR EL-USB-TC data loggers. The minimum temperature recorded during the 1 min period was used for calculation. The procedure was repeated for 15 seeds each, for 0, 5, 10, 15 and 20 °C. For 0 °C, ice was used instead of water.

Role of moisture in opening of the water gap

To evaluate the role of moisture level in opening of the water gap, permeable (heat-treated) seeds were incubated at different relative humidity (RH) levels. Eight hundred seeds were made permeable by storing them at 30 °C for 5 months followed by exposure to 10 °C for 24 h. Five replicates (20 seeds each) were placed on a wire mesh platform suspended in accelerated ageing plastic boxes filled with 100 mL of saturated salt solutions as follows, to maintain different RH levels: H2O, 100 %; KCl, 83·5 %; NaCl, 75 %; MgCl, 32 %; and LiCl, 11·5 % at 30 °C; NaNO2, 65 % at 25 °C; Mg(NO3)2, 50·5 % at 35 °C; and CaCl, 40 % at 5 °C (Weston et al., 1992; Fang and Moore, 1998; Baalbaki et al., 2009). After 24 h of incubation, the number of seeds with a water gap blister was recorded.

Morphological changes during early imbibition

To observe the morphological changes during early imbibition, 40 untreated seeds were soaked in water for 2 h and the outer permeable layers were removed with a toothpick (Gama-Arachchige et al., 2010). They were made permeable by drying at 40 °C for 2 months followed by exposure to 10 °C for 24 h. To observe the morphological changes during early imbibition, seeds were allowed to imbibe water under ambient conditions for 0–20 min. Three seeds each were removed from the water at 2 min intervals for 20 min of imbibition and blotted dry. Three sensitive (impermeable) seeds (outer permeable layers removed) were used as a control. All the seeds were mounted on scanning electron microscopy specimen stubs using double-sided carbon tapes. Then, the samples were sputter-coated with gold–palladium (15 nm), scanned with an S-3200 Hitachi scanning electron microscope at an acceleration voltage of 5·0 kV and micrographs were taken.

RESULTS

Step I: induction of sensitivity

Sensitivity induction test

Seeds stored at temperatures ≤15 °C did not become sensitive even after 20 weeks of storage (Fig. 1A; results for storage under 5 and 10 °C not shown). The minimum storage temperature at which seeds became sensitive was 20 °C. With increasing storage temperature and time, the fraction of sensitive seeds increased. The time required for 50 % of the seeds to acquire sensitivity decreased exponentially with increasing temperature (R2 = 0·98; Fig. 2A).

Fig. 1.

Fig. 1.

Cumulative percentage of sensitive seeds (mean ± s.e) at the end of 2 weeks incubation at 10 °C after dry storage at different (A) constant temperatures and (B) alternating temperatures or non-heated greenhouse conditions.

Fig. 2.

Fig. 2.

(A) Time taken for 50 % of seeds to become sensitive under different storage temperatures (step I; red line) and to show colour change in the water gap region (step II; blue line) under different incubation temperatures. Vertical dashed lines indicate the minimum temperature limit (Tb) for the induction of sensitivity (step I; red) and the maximum temperature limit (Tm) for the induction of colour change in the water gap region (step II; blue). R2 values were derived from exponential regression lines. (B) Arrhenius plots of sensitivity induction rate ln (T50 weeks)−1 (step I; red line) and PY-break rate ln (T50 min )−1 (step II; blue line) plotted against 1/temperature (K) × 10−3. R2 values were derived from linear regression lines.

The Arrhenius plot for sensitivity induction (step I) showed a negative relationship between the rate of sensitivity induction and the reciprocal of storage temperature. Temperature coefficient values (Q10) were between 3·5 and 2·0 (R2 = 0·97; Fig. 2B).

Development of the model

Linear extrapolation of the sensitivity induction rate data of three sub-populations resulted in an average x-intercept of 17·22 °C (Fig. 3). Based on the RMSE values, all the candidate functions strongly fitted with the sensitivity induction data at constant temperatures (Table 1). However, four-parameter Weibull and three-parameter Gompertz functions were the best two models based on AICc values, with 265·002 and 265·388, respectively (Table 1). Therefore, the model with fewer parameters (Gompertz) was selected as the best model due to the ease of explanation of data:

graphic file with name mct046eqn6.jpg (6)

where S is the cumulative percentage of sensitive seeds, b the rate of increase, x the thermal time (°C weeks) and xo the lag phase until the induction of sensitivity.

Fig. 3.

Fig. 3.

Sensitivity induction rates of seed sub-populations (25, 50 and 75 %) of G. carolinianum plotted against the storage temperature. Extrapolation of the linear regression to the x-axis yielded the base temperature (Tb). R2 values were derived from linear regression lines.

Table 1.

Summary of the model selection statistics for models fitted to sensitivity induction at constant temperature storage

Candidate models Equation RSS RMSE k n AICc
1 Gompertz, 3 parameter y = a × exp{–exp[–(xx0)/b]} 3473·6894 7·43 3 65 265·002
2 Sigmoid, 3 parameter y = a/{1 + exp[–(xx0)/b]} 3789·4080 7·76 3 65 270·656
3 Logistic, 3 parameter y = a/[1 + abs(x/x0) b] 3587·7317 7·55 3 65 267·101
4 Logistic, 4 parameter y = y0 + a/{1 + abs(x/x0) b} 3567·8018 7·59 4 65 269·012
5 Weibull, 4 parameter y = a × {1 – exp[–(abs(xx0 + b × ln(2)(1/c))/b)c)]} 3374·2916 7·38 4 65 265·388

The values of parameters of the best fitted model are b = 19·8380 ± 1·2937 and xo = 54·6846 ± 0·9600 (n = 65, RMSE = 7·43; Fig. 4A). Therefore, the three-parameter Gompertz model for the sensitivity induction in PY-seeds of G. carolinianum can be expressed as:

graphic file with name mct046eqn7.jpg (7)
Fig. 4.

Fig. 4.

Cumulative sensitivity induction (%) of seeds of G. carolinianum as a function of sensitivity induction thermal time (°Cweeks). (A) Symbols represent the observed percentage of sensitive seeds at different constant storage temperatures. The line corresponds to the three-parameter Gompertz model (eqn 7). (B) Validation of the developed thermal time model for sensitivity induction (line) for alternating temperatures and non-heated greenhouse conditions.

During the lag phase, sensitivity was not detected in seeds until a thermal time of 24·39 °C weeks was supplied (Fig. 4A). Thereafter, 25, 50 and 75 % of the seeds became sensitive at 48·02, 61·96 and 79·40 °C weeks, respectively.

Model validation

Seeds stored at 15/6 and 20/10 °C alternating temperatures did not become sensitive even after 20 weeks of storage (Fig. 1B; results for storage under 15/6 and 20/10 °C not shown). At 25/15 °C, approx. 60 % of seeds were sensitive by 20 weeks while, at all the other storage temperatures, 100 % of seeds were sensitive by 20 weeks.

The developed three-parameter Gompertz model fitted well for the observed values of the sensitivity induction at alternating temperatures, with RMSE values ranging from 4·28 to 16·33 (Fig. 4B; Table 2). Moreover, the fitted model showed good agreement with the non-heated greenhouse data, RMSE = 11·91, and with the 40/25 °C (average summer soil temperature; Gama-Arachchige et al., 2012) data, RMSE = 12·40 (Fig. 4B; Table 2). However, the fitted model slightly overestimated the sensitivity induction under non-heated greenhouse conditions and 40/25 °C. Also the model slightly underestimated the sensitivity induction under 30/15, 30/20 and 35/20 °C.

Table 2.

Evaluation of the thermal time model for induction of sensitivity in seeds of Geranium carolinianum under alternating temperatures and non-heated greenhouse conditions

Temperature condition n RMSE
25/15 21 4·28
30/15 17 16·33
30/20 17 12·14
35/20 17 9·28
40/25 12 12·40
Non-heated greenhouse 18 11·91

Step II: breaking of PY

Effect of temperature on PY-break

T50 colour (min), the time taken for the colour change (= PY-break) in 50 % of the seed population, decreased exponentially from approx. 62 min at 25 °C to approx. 15 s at 5 °C (Fig. 2A). At temperatures ≥30 °C, none of the seeds indicated a colour change even after 24 h.

The Arrhenius plot for PY-break (step II) showed a positive relationship between the rate of PY-break and the reciprocal of storage temperature with temperature coefficient (Q10) values between 0·02 and 0·1 (R2 = 0·98; Fig. 2B).

Determination of separation force

The force required for the separation of the water gap palisade cell layer from the sub-palisade cell layer was significantly reduced from insensitive seeds (2·59 ± 0·07 N) to sensitive seeds (1·60 ± 0·05 N) (P < 0·05).

The effect of external cooling

The temperature difference between the water bath and seed interior decreased linearly with increasing water bath temperature (Fig. 5A).

Fig. 5.

Fig. 5.

(A) Difference between internal and external temperatures of seeds of G. carolinianum plotted against the seed external temperature (water bath). The R2 value was derived from the linear regression line. (B) Percentage of seeds with a water gap blister (mean ± s.e) after incubation for 24 h under different relative humidity levels. The RMSE value was derived from the sigmoidal regression line.

Role of moisture in opening of the water gap

The relationship between the storage relative humidity and the fraction of seeds with a water gap blister followed a sigmoidal pattern (RMSE = 4·32; Fig. 5B). The water gap blister formed in seeds stored under an RH of >40 %. With increasing RH, the fraction of seeds with a water gap blister increased rapidly, and reached 100 % at 80 % RH.

Morphological changes during early imbibition

No difference was observed in the morphology of water gap palisade cells of sensitive (impermeable) and permeable (heat-treated) seeds prior to imbibition (Fig. 6A, B). After 2 min of imbibition, a slight rise began to appear in the water gap palisade layer of permeable seeds and it had risen further by 4 min of imbibition (Fig. 6C). Upon further imbibition, the water gap palisades continued to rise, until a crack was formed in the periphery of the raised area by 8 min (Fig. 6D). On continued imbibition, the raised area detached at the crack while still hinged to the palisades at the micropyle (hinged valve) after 12 min (Fig. 6E). By 20 min, the hinged valve was completely dislodged, revealing the water gap (Fig. 6F).

Fig. 6.

Fig. 6.

Scanning electron micrographs of the micropylar–water gap region of G. carolinianum seeds without the outer permeable cell layers: (A) sensitive seed (impermeable); (B) seed with colour change in the water gap (permeable); (C) permeable seed soaked in water for 2 min with slightly raised water gap palisades forming a blister; (D) permeable seed soaked in water for 8 min with raised water gap palisades; (E) permeable seed soaked in water for 12 min with raised water gap palisades (hinged valve) still attached at the micropylar end; (F) permeable seed soaked in water for 20 min with water gap opening after the dislodgement of the hinged valve. Abbreviations: Cr, cracks on the palisade layer; Mi, micropyle; Pa, palisade cells; PaL, elongated palisade cells of the water gap; SpaL, elongated sub-palisade cells of the water gap; Wpa, water gap palisades; *, sub-palisade cells with a smooth outer periclinal cell wall; **, sub-palisade cells with a corrugated outer periclinal cell wall.

DISCUSSION

Physical dormancy-break in G. carolinianum is a moisture-independent, two-step process controlled by temperature (Gama-Arachchige et al., 2012). In the present study, a mathematical model was developed for the induction of sensitivity during step I in PY-breaking in G. carolinianum seeds. The time required to attain sensitivity in seeds held under constant temperatures was described well by the developed three-parameter Gompertz model (RMSE = 7·43). The developed model was robust enough to predict successfully the acquisition of sensitivity for alternating temperatures and semi-natural non-heated greenhouse conditions (RMSE = 4·28–16·33). Thus, the developed model described the thermal requirements for sensitivity induction in each fraction of the seed population (Fig. 4A, B).

The parameter values of the model indicate that induction of sensitivity takes place at temperatures above the base temperature of 17·22 °C, and the higher the temperature above this value, the higher would be the rate of sensitivity induction. The base temperature for thermal models for dormancy break in PD seeds is assumed to be constant for all seed fractions of a population (Bradford, 2002). Similarly, in this study, the value for the base temperature obtained by extrapolating the rates of sensitivity showed a constant value for all seed fractions (Fig. 3).

Mott et al. (1981) and McDonald (2000) reported that the base temperature for PY break in several tropical and sub-tropical legume species growing in northern Australia ranged between 40 and 55 °C. The high summer soil temperatures of those sites usually exceed this base temperature, hence a considerable number of seeds becomes permeable during summer and they germinate in the autumn (McDonald, 2000). Similarly, >90 % of the G. carolinianum seeds buried at a depth of 2 cm in an open area on the campus of the University of Kentucky became sensitive during the summer of 2011 and germinated in autumn 2011 (Gama-Arachchige et al., 2012). The average summer soil temperature at this location was approx. 28 °C, and therefore all the seeds can become sensitive within approx. 12 weeks during summer. Thus, the formation of a long-term soil seed bank in Lexington is highly unlikely.

A negative correlation between the reciprocal of storage temperature and the rate of sensitivity induction during step I can be observed in Arrhenius plots (Fig. 2B). In this study, Q10 values for step I ranged between 2·0 and 3·5. Q10 values for chemical processes are generally in the range of 2–3 (Atwell et al., 1999). Therefore, the involvement of a chemical process(es) during the sensitivity induction stage can be inferred in seeds of G. carolinianum. A similar observation (Q10 values 3·4–5·1) has been obtained for PY-break in Medicago arabica (Van Assche and Vandelook, 2010).

Significant reduction in the force required to separate water gap palisade cells from sub-palisade cells indicates weakening of the bond between these two cell layers during the sensitivity induction step. Zeng et al. (2005) demonstrated that when seeds are exposed to field conditions, PY-break in several legume species is related to loss of lipids in the seed coat. Further, they suggested that the polymeric structure of lipids changes on exposure to high summer temperatures, due to weakening of hydrophobic bonds which increase the thermal degradation of lipids. In G. carolinianum seeds, a similar process can be expected to take place. During step I, weakening of the polymeric lipids in the seed coat loosens the bonding between palisade and sub-palisade layers. This phenomenon may be more prominent in the water gap region, where the connection between the two layers is weak. The thermal requirements to complete the weakening process (sensitivity induction) can be estimated from the model developed in this study. According to the results, weakening of the seed coat takes place at temperatures >17 °C, and approx. 135 °C weeks are required for all the seeds to become sensitive.

Data from the non-heated greenhouse fitted well (RMSE = 11·91) with the developed thermal time model. Therefore, this model is capable of predicting sensitivity induction under semi-natural conditions. However, further field experiments are required to test the application of this thermal time model to predict sensitivity induction under natural conditions.

Step II

A positive correlation was observed for the reciprocal of incubation temperatures and the rate of step II (PY-break) with Q10 values between 0·02 and 0·1. As Q10 values <1·5 indicate purely physical processes (Clearwater et al., 2000), it can be assumed that a physical process is responsible for step II. Based on the results from the present study and Gama-Arachchige et al (2012), it was observed that the base temperature for PY-break in step II varied with the storage temperature in step I. Therefore, in the present study, no thermal time models were developed for this step. However, further studies should be carried out to evaluate the possibility of developing a thermal time model for this step.

Sensitive G. carolinianum seeds can be made permeable when exposed to temperatures lower than the sensitivity induction temperature (Gama-Arachchige et al., 2012). In the present study, the internal seed temperatures were always higher by several degrees than the external temperature of the seed coat (= temperature of the water bath). This temperature difference can create a tensile stress across the seed coat. Mott (1979) observed that seeds of several species of Stylosanthes became permeable only at the lens when in contact with a high temperature (140–150 °C) metal plate for a short period (15–60 s). He also found that when seeds were made to contact the 145 °C metal plate, the internal temperature of the seeds reached only approx. 100 °C after 60 s. Since the seeds were agitated during the high heat treatment, only a very small portion of them were momentarily heated, while a larger portion remained cooler. This differential temperature might have imposed a considerable mechanical stress on the seed coat, causing the metastable (weak) palisade cells at the lens to fracture.

Based on the previous observations by Taylor (1996a, b) and Jayasuriya et al. (2008), the completion of step II in the PY-break is much faster than step I in Medicago polymorpha and Ipomoea lacunosa, respectively. A similar pattern was observed in the PY-break of G. carolinianum. However, the completion of step II in G. carolinianum takes place at a rate much faster than that in other species studied. At 5 °C, only 15 s were required for 50 % of the seed population to complete step II. Therefore, it can be assumed that step I enables the seeds to maintain impermeability and thus survive in adverse conditions while progressing towards sensitivity. In sensitive seeds, step II is triggered immediately on sensing the environmental cues that signal the commencement of favourable conditions for germination.

Mechanism involved in the opening of the hinged valve

Sensitive G. carolinianum seeds cannot be distinguished from the insensitive seeds based on morphoanatomical features (Gama-Arachchige et al., 2010). When sensitive seeds are exposed to temperatures lower than the sensitivity induction temperature, a colour change can be seen near the micropyle (Figs 7A–F and 8A, B). When a temperature difference builds up across the seed coat, palisade and sub-palisade layers may shrink differentially (Fig. 8A). Consequently, the two cell layers may slip, forming a gap between them (Fig. 8B). Since the periclinal cell walls in contact in these two layers are smooth at the micropyle and gradually become corrugated towards the radicle (resulting in friction when slipping), the formation of the gap initiates at the micropyle and develops towards the radicle (Figs 6F and 7A–F; Supplementary Data Video S1). This gap causes the incident light to refract, revealing a ‘clam shell’-shaped lighter coloured area near the micropyle (water gap) (Fig. 7F). The same colour change is imparted on applying a mechanical force at the water gap region. According to the penetrometer experiment, this force is significantly lower for sensitive seeds than for insensitive seeds. This is a good indication of weakening of the connection between palisade and sub-palisade layers in the water gap region during sensitivity induction (step I). A similar colour change in the water gap region has previously been reported in Sida spinosa, upon application of pressure (Egley and Paul, 1981).

Fig. 7.

Fig. 7.

Schematic diagram of the morphological changes in the water gap region of sensitive seeds of G. carolinianum during different stages of PY-break (step II). (A–F) The colour change starts at the micropyle and develops towards the radicle.

Fig. 8.

Fig. 8.

Schematic diagrams of median longitudinal sections of the water gap region of G. carolinianum depicting the proposed mechanisms for PY-breaking and opening of the water gap. (A) A sensitive seed exposed to cold temperature; arrows indicate differential shrinking of the palisade layer (green) and sub-palisade layer (black). (B) A permeable seed; light-brown colour of the water gap palisades depicts the colour change visible externally after PY is broken; note the gap between the palisade and sub-palisade layers. (C–F) A permeable seed during different stages of early imbibition. (C) Expansion of water gap palisades; blue arrows indicate the expansion of water gap palisade cells due to imbibition. (D) Formation of the blister. (E) Formation of the hinged valve. (F) Water gap revealed after the dislodgement of the hinged valve. Abbreviations: Cr, cracks on the palisade layer; Hv, hinged valve (composed of PaL and Wpa); Mi, micropyle; Pa, palisade cells; PaL, elongated palisade cells of the water gap; SpaL, elongated sub-palisade cells of the water gap; Wpa, water gap palisade cells; Wg, water gap opening; *, sub-palisade cells with a smooth outer periclinal cell wall; **, sub-palisade cells with a corrugated outer periclinal cell wall; yellow arrows indicate the direction of dislodgment of the hinged valve.

Opening of the water gap is controlled by the availability of moisture during imbibition (Fig. 5B). A web of cracks (a few micrometres in depth) can be found in the upper periclinal walls of the palisade cell layer of mature seeds (insensitive, sensitive and permeable) (Fig. 6A, B). Water can enter through these cracks, causing the upper part of the palisades to swell. However, the lower part of the palisades cannot expand since the lower periclinal walls of the palisades are tightly bound to sub-palisades throughout the seed coat in sensitive and insensitive seeds. This stops further imbibition. After PY is broken, the water gap palisade cells can continue to swell since they are not connected to the water gap sub-palisade cells (Fig. 8C). This causes the deepening of the cracks in palisades and makes the cells permeable. Subsequently, as imbibition proceeds, the palisades of the whole water gap region swell and bend outward, forming a blister (hinged valve) (Fig. 8D). Then, due to the tension, the water gap palisades separate from sub-palisades along the water gap margin. Eventually, with further swelling, the hinged valve dislodges from the seed coat, revealing the water gap (Fig. 8E, F).

In conclusion, induction of sensitivity by temperature during the first step of PY-break in G. carolinianum can be best explained by the thermal time model using a three-parameter Gompertz model. The developed thermal time model is also able to predict sensitivity induction in G. carolinianum under semi-natural conditions. Differential thermal contraction of the palisade layer in the water gap region may be the reason for the colour change and PY-break. Thus the water gap region acts as a thermal sensor that detects the onset of autumn.

SUPPLEMENTARY DATA

Supplementary data are available online at www.aob.oxfordjournals.org and consist of the following. Figure S1: experimental set-up for measurement of the separation force of palisade cells from sub-palisade cells in the water gap in seeds of G. carolinianum. Video. S1: time-lapse video of the colour change pattern in the water gap region of a sensitive seed of G. carolinianum immersed in a temperature-controlled water bath at 10 °C. The photographs were taken at 1 s intervals for 10 min and the video length was compressed to 15 s. The white box demarcates the micropylar water gap region of the seed.

Supplementary Data

ACKNOWLEDGEMENTS

We would like to express our sincere gratitude to Dr Diego Batlla, IFEVA/Cátedra de Cerealicultura, CONICET/Facultad de Agronomía, Universidad de Buenos Aires, Argentina, and Dr Bruce Downie, Department of Horticulture, University of Kentucky, USA, for pre-reviewing the manuscript and for their valuable suggestions. This work was supported in part by the Graduate Ribble fund, Department of Biology, University of Kentucky, USA.

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