The Effect of High Day and Low Night Temperature on Pollen Production, Pollen Germination and Postharvest Quality of Tomatoes ()
1. Introduction
Temperature integration where high day temperatures are compensated by lower night temperatures is an important means of reducing energy consumption in greenhouses [1]. Temperature increases with increasing irradiance to a maximum accepted level at which ventilation takes place, and the night temperature is reduced sufficiently to secure an optimal mean temperature level. Depending on the season and weather conditions, energy savings of more than 20% can be achieved by means of such temperature control [2,3]. However, the effectiveness of temperature integration depends on the plant’s ability to tolerate temperature variation. Results of studies conducted on a wide range of vegetables including tomato and ornamentals, have shown that within a certain temperature range, growth and development respond to the mean daily temperature rather than to the day/night temperature variation [4- 6].
Tomato is an important vegetable worldwide, in which temperature is known to affect various physiological aspects, including pollen viability and fruit quality [7]. It has been reported that pollen germination was significantly reduced when tomatoes were grown at temperatures of up to 32/26˚C day/night temperature [8]. Tomato quality includes visual characteristics such as color and firmness, nutritional constituents, and organoleptic characteristics such as aroma compounds and the content of sugar and acids. Dorais et al. (2001) reviewed the quality of greenhouse tomatoes [9], and the fruit quality might be affected by high and low temperatures as well as the differences between day and night temperatures [10]. The effect of preharvest and postharvest factors, including temperature, on soluble solids in tomatoes has been reviewed [11]. For cherry tomatoes, the percentage dry weight, glucose, and fructose were found to be higher in fruits developed under high temperature variation (30/
15˚C day/night), while lower levels of citric and malic acid were reported [12]. Nevertheless, few works have included the effect of preharvest factors on the quality and storability of tomatoes [13]. It has been concluded that tomato plants can tolerate air temperature fluctuations of up to 6˚C from the daily mean of 18.7˚C with respect to growth and flowering [14]. Little is known about the effect of temperature variation, with a fixed daily mean temperature, on pollen growth, fruit quality, and storability. The aim of this study was therefore to examine the effect of different day/night temperature variations on pollen production and germination as well as on the postharvest fruit quality of three tomato cultivars.
2. Materials and Methods
2.1. Plant Material and Environmental Conditions
Seeds of tomato (Solanum lycopersicum “Capricia”, “Mecano” and “Cederico”) were sown in 12-cm plastic pots filled with peat (VEKSTTORV, Ullensaker Almenning, Nordkisa, Norway) and perlite (Substraat, RHD, The Netherlands) mixture (3:1). Plants were irrigated with a complete nutrient solution (SuperbaTM Red (50%) and Calcinite (50%), Yara AS, Oslo, Norway) as necessary. Temperature (day and night) and relative air humidity (RH) were set to 20˚C (a mean of 19.7˚C observed) and 75% (a mean of 72% observed). Supplemental lighting at a photon flux density (PFD) of 100 µmol m−2·s−1 was provided by high-pressure sodium lamps (HPS) (Lucalox LU400/XO/T/40, GE lighting, Budapest, Hungary) when the outside level fell below 100 W·m−2 global radiation, to maintain 20-hour day length. The PFD was measured by a quantum meter Model QMSW-SS (Apogee instruments Inc., Logan, UT, USA). Once the tomato plants had developed five leaves, they were transplanted into 30-liter plastic pots filled with a peat and perlite mixture (7:3). At the appearance of the first inflorescence, the plants were moved to the experimental conditions.
The experiment was conducted at the Norwegian University of Life Sciences (UMB), Ås, Norway (59˚ 40’N and 10˚ 46’E) from March to July 2011, in three greenhouse compartments located beside each other. The ventilation temperature for the different compartments was 24˚C, 27˚C, and 30˚C during the day, and ventilation was used at night to reach temperatures of 17˚C, 14˚C, and 11˚C, respectively. Solar radiation, air temperature, and RH in the greenhouse compartments were recorded at five-minute intervals by a Priva greenhouse computer (Priva, Zijlweg, The Netherlands). The hourly mean values (mean of 12 readings) of these variables were used to calculate the mean day, night, and daily temperatures.
During the experimental period, the mean day temperatures in the three compartments were 23.7˚C ± 1.8˚C, 26.4˚C ± 1.3˚C, and 29.2˚C ± 2.0˚C, and the mean night temperatures were 16.4˚C ± 0.1˚C, 13.9˚C ± 0.1˚C, and 11.5˚C ± 0.5˚C, respectively. The temperature, air humidity, and CO2 concentration were measured at plant level. During the experimental period, the day length varied from 11 hours in March to 19 hours in June, and no supplementary lighting was used. At sunrise, the vents were closed and the temperature was allowed to increase by means of solar radiation. Night temperatures were achieved by natural cooling through ventilation or by heating. The air humidity was maintained at 75% ± 5% day and night through ventilation or by the application of mist. The CO2 concentration (as measured every ten minutes) by a Priva infrared gas analyzer) was set to 700 µmol·mol−1 during the light period when the vents were closed, and to 385 µmol·mol−1 during ventilation or during the dark period. The mean concentration for the whole experimental period was 628 ± 82, 662 ± 77, and 715 ± 76 µmol·mol−1 at the 24/17˚C, 27/14˚C, and 30/11˚C treatments, respectively. The temperature and CO2 concentration during a period of six or 12 days at the time of flowering are summarized (Table 1) as well as the temperature during the four weeks prior to harvest (Table 2). The photosynthetic active radiation (PAR) inside the greenhouse (about 50% of the outside radiation) during the 12 days was 13.3 ± 3.1 (17 - 28 March) and 12.2 ± 6.4 mol m−2·day−1 (29 March-10 April) for truss number four and six, respectively. The photosynthetic active radiation was 17 ± 6, 20 ± 6 and 20 ± 10 mol·m−2·day−1 in April, May and June, respectively. The conversion factor from global radiation (in MJ·m−2·day−1) to PAR (in mol·m−2·day−1) was 2.2.
Elemental sulfur was applied for two hours every night. Plants were fertilized daily with four liters (complete saturation of the substrate) of the same nutrient solution as previously described. The nutrient solution had a conductivity of 2.5 mS·cm−1 (DGT Volmatic Type LM20 Serial 9305), and the salinity of the growing medium was 4 - 5 mS·cm−1, using the soil saturated extract (SSE) method.
The plants were pinched above the ninth truss in all temperature treatments. The fourth and sixth trusses as counted from the bottom of the plants were selected for the following analysis: The first flower was assessed for pollen production and the second flower for pollen germination one day after opening, and the third flower for pollen production and the fourth flower for pollen germination four days after opening. This was done under the same conditions (20˚C/70% RH) for all three temperature treatments. In addition, the fifth and sixth flowers on the same trusses were used to assess pollen pro-
Table 1. Day and night temperature (means ± SD) during a six-day period (from five days before until one day after flower opening) or a twelve-day period (from eight days before until four days after flower opening) in trusses four and six. CO2 concentration is given for the light period.
Table 2. Mean maximum day and minimum night temperature during the four weeks prior to harvesting the tomato fruits of truss number five for three different temperature treatments.
duction and germination at their respective growth temperatures. Since the solar radiation is quite variable during spring two different trusses were selected in order to cover a longer time period for climate exposure.
2.2. Pollen Production
In order to measure pollen production, the flowers were removed and placed in 50 ml centrifuge tubes that were filled with 5 ml of distilled water containing 20 µl·l−1 of Tween 20 surfactant (Sigma-Aldrich Chemie GmbH, Steinheim, Germany) (one flower per tube). Tubes were shaken by hand 40 times and the flower was removed. The number of pollen per ml of suspension was calculated in two aliquots of suspension using haemocytometer (HYCOR, Hycor biomedical inc. California, USA) under a light microscope at 100X. Pollen with a diameter of less than 20 µm and shrunken pollen were considered undersized or abnormal.
2.3. Pollen Germination
For pollen germination, the flowers were picked with their pedicle and held 2 cm above Petri dishes (5 cm in diameter) containing pollen growth media [15]. Flowers were vibrated for five seconds using an electric tooth brush (Philips HX1610 Double cleaning action, China)
placed on the flower pedicle. Petri dishes were then sealed and incubated in a growth chamber at 20˚C and 70% RH. The day length was 14 hours and 130 ± 10 µmol·m−2·s−1 PFD was supplied by high-pressure mercury lamps (Powerstar HQI-BT 400 W/D day light, OSRAM GmbH, Augsburg, Germany). One day after incubation, a piece of the pollen growth media was cut and placed on a microscopic glass slide. A droplet of water was placed on top and covered with cover slips. The samples were then assessed for pollen germination under a light microscope. Pollen containing germ tubes at least half the length of the diameter of the pollen was deemed to have germinated. The first 100 pollens were assessed and the percentage of pollen germination was calculated.
2.4. Fruit Harvest and Postharvest Quality
Forty-five tomato fruits from the third and fifth clusters of each cultivar and temperature treatment were harvested at commercial ripening stage based on comparison with color chart scale 6 - 9 (Ctifl, Code Couleur Tomate, France). At harvest (day 0), 15 tomatoes were randomly selected and divided into three replicates each containing five tomatoes. The color and firmness of the fruits were measured using color chart comparison and DUROFEL DFT 100 digital firmness tester (Agro-Technologie, St Etienne du Gres, France), respectively. For firmness measurements, the tip of the digital firmness tester was placed on the surface of each tomato fruit at three different points. The instrument measured the elasticity of the outer fruit flesh within the range from 0 (no resistance or high elasticity) to 100 (high resistance or no elasticity) and firmness is specified as DUROFEL-units. The remaining 30 fruits were stored in darkness at 13˚C and 85% RH. After seven and 14 days’ storage, 15 fruits were assessed for color and firmness. Immediately after the assessments, 3 × 5 fruits were frozen at −20˚C pending further analysis.
2.5. Dry Matter Content, Soluble Solids, Titratable Acidity, and pH
For analysis of dry matter, soluble solids, titratable acidity, and pH, frozen tomatoes were thawed overnight at room temperature. Tomato samples were homogenized using a food processor (BRAUN, Germany). For dry matter assessment, six grams of homogenized material was dried at 104˚C for 24 hours and the dry matter percentage was calculated.
The homogenized samples were filtered (125 mm, Whatman GmbH, Dassel, Germany) and the filtrates were used for further analysis. For soluble solids measurement, a digital refractometer, Model Atago Palett PR-100 (Atago Co., Ltd., Tokyo, Japan) was first calibrated using distilled water. Then two to three drops of tomato juice were placed on the sensor of the refractometer. Soluble solids were given as a percentage.
Automatic titrator, Model Methrom 716 DMS Titrino and 730 Sample changer (Metrohm Ltd., Herisau, Switzerland) were used for the measurement of titratable acidity. Ten ml of filtrate was diluted with 50 ml of distilled water. Then sodium hydroxide (0.1N) was added to the diluted filtrate to reach pH of 8.1. Titratable acidity was calculated as a percentage of citric acid. The pH was measured using a pH meter (Model 691 PH Meter, Metrohm Ltd., Herisau, Switzerland).
2.6. Statistical Analysis
Minitab (version 16) was used to conduct analysis of variance (GLM procedure). Three different day/night temperature combinations and three different varieties were included in the model. Response variable means were compared using Tukey’s pairwise comparison test at P = 0.05.
3. Results
3.1. Pollen Production (Figure 1)
The number of normal pollen in the fourth truss one day after flower opening was not significantly affected by day/night temperature, while pollen production in the sixth truss was significantly higher (p < 0.05) at 27/14˚C and 30/11˚C compared to 24/17˚C (Table 3). The number of normal pollen assessed four days after flower opening as a mean of the three cultivars, increased as DT increased/NT decreased above/below 24/17˚C (Table 3). The number of abnormal pollen often increased with increasing DT/decreasing NT, particularly in the 30/11˚C treatment (Table 3). The number of normal pollen was highest in cv. Cederico as measured one day after flower opening in the fourth truss, and in cv. Mecano as meas-
Figure 1. Normal pollen (A) and abnormal pollen (B).
Table 3. Effect of day/night temperature regimes on number of normal and abnormal pollen in different trusses one and four days after flower opening. Values represent means of three cultivars and two replicates (n = 6, ±SD). Different letters within each column indicate significant differences between treatments at p < 0.05 level.
ured four days after flower opening in the sixth truss (data not presented).
3.2. Pollen Germination
The pollen germination percentage as measured under the same climate conditions (in a growth chamber) generally increased as DT increased/NT decreased (Table 4). This was the case in both trusses as well as for pollen harvested one or four days after flower opening (Table 4). Similar results were found when pollen germination was measured under growing conditions (Table 4). In growth chamber incubation, pollen germination of the cultivar Cederico was significantly higher four days after flower opening in the sixth truss compared to Capricia and Mecano (data not presented).
3.3. Tomato Quality
Tomatoes grown at 27/14˚C were significantly firmer compared to the other temperature treatments (Table 5). Tomatoes grown at 24/17˚C contained significantly higher amounts of dry matter, soluble solids and titratable acidity, whereas pH was higher in tomatoes grown at 30/11˚C. The cultivars Capricia and Mecano had significantly firmer fruits compared to Cederico. No significant differences were found between the cultivars with respect to soluble solids. Significant differences were observed between the cultivars with respect to dry matter, titratable acidity, and pH. Fruit firmness decreased significantly during storage. Dry matter, soluble solids, and pH remained stable during storage, whereas titratable acidity decreased significantly from day seven to day 14. Visually observed the tomatoes produced at 30/11˚C were pale in color compared to tomatoes produced in the other
Table 4. Effect of day/night temperature regimes on percentage pollen germination as measured under the same conditions in a growth chamber and under growing conditions one day and four days after flower opening. Values represent means of three cultivars and two replicates (n = 6, ±SD).
temperature treatments, however, there was no systematic record of the color. The different preharvest temperature treatments had no significant effect on the storability of the tomato fruits (data not shown).
4. Discussion
A climate control strategy where high DT was combined with low NT, a DT of at least about 29˚C combined with a NT of 11˚C - 12˚C, did not have a negative effect on the production and germination of normal pollen. Compared to the control treatment of 24/17˚C, this type of climate was often actually beneficial to pollen production and germination. This was concluded when the pollen was tested under plant growing conditions as well as under the same climate conditions in a growth chamber. Although the number of abnormal pollen under high DT/low NT increased, this was more than compensated by an increased number of normal pollen and increased germination potential. Sato et al. (2006) found that increasing the DT to 32˚C combined with a NT of 26˚C had a negative impact on pollen germination in tomato [8]. The maximum DT was higher and the NT much higher than that used in the present experiment. Energy reserves seem to be the predominant factor in determining pollen production as well as pollen viability [16]. Delayed ventilation and higher CO2 concentration accompanied higher DT, and this probably stimulated the photosynthetic rate. It has been reported that the negative effects of high day temperatures of up to about 30˚C on photosynthesis can be minimized or eliminated by CO2 enrichment in roses [17,18] and cucumber [19]. Photosynthesis has also been found to be stimulated by higher growth temperatures when the CO2 concentration was increased [20]. The difference in pollen production in the fourth and sixth truss one day after opening might also be due to longer day lengths.
Table 5. Effect of different day/night temperature regimes during growth on firmness, dry matter (%), soluble solids (%), titratable acidity (%) and pH of three tomato cultivars at harvest and after seven and fourteen days of storage (n = 6, ±SD).
Fruits developed at 27/14˚C were firmer than fruits developed under other temperature treatments, and this might be related to the temperature-dependent activity of cell wall degrading enzymes acting on proteins and carbohydrates [21]. The difference in firmness between cultivars could be explained by variation in skin toughness, flesh firmness, and the pericarp/locular material ratio [22]. The firmness decreased during storage, which is most probably related to possible water loss and further ripening of the fruit. This is in accordance with the results of Jha and Matsuoka (2005), where a significant reduction in tomato firmness was observed during storage [23]. The red color of tomato fruit is determined by the amount of lycopene present in pericarp [24,25]. The optimal temperature for lycopene synthesis in tomatoes is in the range 16˚C - 21˚C, and a very high DT (30˚C) in the present experiment reduced the red color as visually observed, even if this high DT was compensated by 11˚C NT.
The dry matter of fruit and vegetables is mainly composed of sugars and acids. Tomatoes usually contain 5% - 8% dry matter of which 4% - 6% is soluble solids [9]. Citric and malic acids are the main organic acids found in tomato fruits and constitute approximately 10% - 13% of the dry matter content [9]. In the present study, the dry matter content of the tomato fruits that could be associated with reduced soluble solids and titratable acids, decreased with increasing DT/decreasing NT. This reflects a somewhat reduced organoleptic quality of the fruits at high DT/low NT. The dry matter and soluble solids content of fruit mainly depends on the synthesis and transport of assimilates from the leaves to the fruits [26]. High temperatures are known to favor the distribution of assimilates to the fruits during fruit development [27], whereas low night temperatures have previously been shown to reduce the content of soluble solids in tomatoes [28]. For cherry tomatoes grown in greenhouses, an increase in sugars and a decrease in titratable acidity were observed in late harvest when the temperature and solar radiation peaked [12]. During storage, the content of soluble solids remained stable whereas the titratable acidity changed significantly. The stability of soluble solids during storage has previously been observed [29,30] and the concentration of titratable acidity has been found to decrease [30] during a seven-day storage period.
5. Conclusion
It can be concluded that significantly larger variations between day and night temperatures than commonly applied will not reduce the pollen production and pollen germination potential in tomato as long as the mean temperature is kept constant. The overall conclusion was that the 27/14˚C treatment was superior to the other two temperature treatments (24/17˚C and 30/11˚C DT/NT). The preharvest temperature regimes did not affect the storability of the tomatoes.
6. Acknowledgements
This project was financed by the Research Council of Norway. We would like to thank Ida Kristin Hagen, Dag Wenner, Signe Hansen and Kari Grønnerød for their technical assistance.