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Article

Different Temperature Regimes Influenced the Quality of Broccoli Seedlings, Which Caused a Change in the Chemical Composition of Mature Heads

1
Department of Horticulture, Faculty of Biotechnology and Horticulture, University of Agriculture in Krakow, 31-425 Krakow, Poland
2
Department of Vegetable and Medicinal Plants, Faculty of Horticulture and Landscape Architecture, University of Life Sciences in Lublin, 20-950 Lublin, Poland
3
Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Naples, Italy
*
Authors to whom correspondence should be addressed.
Agronomy 2021, 11(9), 1806; https://doi.org/10.3390/agronomy11091806
Submission received: 22 July 2021 / Revised: 1 September 2021 / Accepted: 5 September 2021 / Published: 8 September 2021
(This article belongs to the Special Issue Enhanced Product Quality of Plant Material from Field Crops)

Abstract

:
Exposure of vegetable seedlings to lowered temperature affects their growth and the content of certain chemical constituents. Chilling activates defensive mechanisms against stress and leads to acclimatization which increases plant ability to withstand harsh field conditions. Thus, seedlings subjected to low-temperature treatment had altered metabolic pathways, and these changes can persist until harvest. We therefore assessed: (i) the direct response of broccoli seedlings to 1 week or 2 weeks at lowered temperatures (6 °C, 10 °C, 14 °C, and 18 °C—control); and (ii) the long-term effects of the latter treatments on phytochemical components level in mature heads of broccoli cultivated in the field. Chilling stress decreased seedling shoot and root fresh and dry weights, plant height, number of leaves, leaf area, leaf perimeter, and leaf width. The most spectacular reductions in these parameters were observed at 6 °C and 10 °C. Longer exposure to lowered temperature resulted in greater reduction in the values of morphological traits. Chilling led to reduction in L-ascorbic acid content in broccoli seedlings, while a 6 °C temperature caused an increase in soluble sugars. The highest content of dry weight, soluble sugars, and L-ascorbic acid were observed in the heads of plants exposed to 14 °C; however, the content of dry weight (at 10 °C) and L-ascorbic acid (at 6 °C and 10 °C) also increased in broccoli heads in comparison with the control. Longer chilling (for 2 weeks) generally increased the content of these constituents in mature broccoli. Lower temperature (6–14 °C) applied at seedling stage increased P and Zn contents in broccoli heads in comparison to the control, whereas plants treated with 10 °C had more K, Fe, and, together with 6 °C treatment, Cu. The lowest temperature applied to the seedlings (6 °C) caused an increase in Mn content, while no effects of seedling chilling was noted for Ca levels. Significant linear correlations were noted and regression models were developed for the content of dry weight, soluble sugars, and L-ascorbic acid in the broccoli heads based on the chosen seedling parameters. The results show that the effect of lowered temperature to which the seedlings were subjected persists also in the further stages of plant ontogenesis, causing permanent changes in the chemical composition of mature broccoli heads.

1. Introduction

Broccoli, which belongs to the group of important vegetable crops, is widely cultivated in the world and is rich in bioactive compounds and minerals [1,2,3]. Health benefits from broccoli are associated with high amounts of glucosinolates, isothiocyanates, phenolic compounds, ascorbic acid, tocopherols, carotenoids, and minerals including calcium, magnesium, sulphur, and selenium [4,5]. Phytochemicals occurring in vegetable crops mainly undergo genetic control and environmental conditions [5,6]. Apart from breeding strategies, agronomic methods to increase the content of bioactive components in broccoli are also being sought [1].
Low-temperature treatment of juvenile plants via acclimatization processes induces modification of genome and transcriptome what is related to changes in primary and secondary metabolism which shapes stress response of the plants [7,8]. These metabolites are essential for plant to survive environmental changes, including low temperature conditions. One of the most important consequences of abiotic stresses is the overaccumulation of reactive oxygen species (ROS) such as O2•−, H2O2, and OH in plant cells [9,10]. The augmented ROS levels are sensed and restrictively controlled by ROS-scavenging systems comprised of enzymatic and non-enzymatic antioxidants, including compounds such as ascorbic acid, glutathione, phenolic acids, alkaloids, flavonoids, carotenoids, tocopherols, etc. [11]. In addition to the obvious functionality of a controlled application of stress, related to the plant acquisition of a better tolerance to abiotic stresses (cross-protection), this method can serve as a regulator of the level of many phytochemicals. Indeed, an increase in the content of antioxidants in chilled plants is associated with their response to stress stimuli [12,13]. The key question is whether the chilled plants can maintain a high level of bioactive components in the long-term perspective, up to harvest. Several reports describe the short-term effects of low-temperature treatments on vegetable seedlings, i.e., [14,15,16], but there are evidences for long-lasting chilling influence [16,17,18,19].
Thus, our main goal was to estimate the direct effects of different temperature regimes on broccoli seedlings, including changes in the morphology and production of dry weight, and to compare chemical composition of chilled plants and the control ones (grown at the optimal temperature), both at the end of the seedling production and at harvest. Our second target was to determine a stress biomarkers, whose change in seedlings would be associated with their change in mature broccoli heads.

2. Materials and Methods

2.1. Plant Material and Treatments

Seeds of broccoli (Brassica oleracea L. var. italica Plenck) cultivar Monaco F1 (Syngenta) were sown into black multi-pot trays (VEFI A/S, Drammen, Norway) with cone-shaped 96 cells per tray, each 53 cm3 in volume. Cells were filled with peat substrate (KlasmanTS2, Klasmann-Deilmann GmbH, Geeste, Germany) and placed in the greenhouse. Temperature in the greenhouse was maintained at 24 °C ± 2 °C until emergence, when the temperature was lowered to 18/15 °C ± 2 °C (day/night). All transplants were fertilized twice with Kristalon Zielony liquid fertilizer (18% N, 18% P2O5, 18% K2O, 3% MgO, and 2% S) (Yara Poland Sp. z o.o., Szczecin, Poland) at a dose of 10 g L−1 water. Before planting, the plants were divided into two main groups which were exposed for a period of 1 week or 2 weeks (experimental factor I) to the lowered temperatures: 6 °C, 10 °C, and 14 °C (factor II). Part of the seedlings, assigned to the control treatment, was left in the greenhouse under the conditions maintained according to the production standard for broccoli (temperature was 18 ± 2 °C during the day and 15 ± 2 °C at night until planting in a 14-h photoperiod during natural daylight). The seedlings were exposed to chilling in growth chambers under a 14-h photoperiod (via SunmasterLM 400W U46 CDX metal halide lamps, Venture Lighting Europe Ltd., Watford, UK) and under a ca. 300-µmol m−2 s−1 irradiance intensity. Relative air humidity was maintained at ca. 75% for all treatments. The aforementioned experiments were repeated three times over the years (2011–2013) with the same number of plants (200 seedlings) per each treatment. Morphological parameters and laboratory analyses of the seedlings were performed on 20 plants randomly collected from each treatment (5 seedlings per replication).

2.2. Field Experiments

Broccoli seedlings were planted out in the experimental field of the University of Agriculture in Krakow, located in southern Poland (50°04′ N, 19°51′ E), in the first half of April (early spring), at 50 × 45 cm spacing, and covered with nonwoven fleece (Agryl PP, 19 g m−2). According to the Köppen’s classification, the climate was humid continental (Dfb). Covers were removed after about 5 weeks. The soil type was a Fluvic Cambisol (Humic), with respect to the classification of the Food and Agriculture Organization of the United Nations [20]. We performed standard cultivation practices, including fertilization, sprinkler irrigation, and plant protection, as recommended for broccoli [21]. The doses of fertilizers were calculated on the basis of soil analyses and crop requirements, achieving nutrient contents of 140 mg N (NH4 + NO3), 60 mg P, 200 mg K, 70 mg Mg, and 1500 mg Ca in 1 L of soil.
The experiments were established according to the split-plot design, with low temperature duration being the main plot and temperature level the sub-plots, with three replications of each treatment. The single plot size was 9 m2 and was composed of 40 plants (30 plants intended for sampling), thus there were 90 plants in each treatment excluding those constituting the protective side rows. Samplings were performed by randomly selecting 20 marketable broccoli heads of market quality, which were transported immediately to the laboratory, to perform analysis of the constituents listed below. All samples were analyzed in quadruplicate. Field trials were performed for 3 years (2011–2013).

2.3. Morphological Parameters of Broccoli Seedlings

The height of the seedlings was measured from the base of the main shoot stem to the top of the longest leaf. All leaves longer than 1 cm were counted from individual plants. Then, the visually largest leaf was selected and its morphological features (area, perimeter, length, width) were determined with WinDIAS-3 Measurements System (Delta-T Devices Ltd., Cambridge, UK). The system comprised a video IDS camera pointing vertically down to an illuminated table where the detached leaf was placed and connected to a computer. After calibration, the system analyzed the colored threshold regions to measure leaf parameters.

2.4. Fresh Weight of Broccoli Seedlings

The fresh weight (FW) was assessed by weighing the shoots and roots of the seedlings, using a Sartorius A120S analytical balance (Sartorius AG, Goettingen, Germany). Before weighing, roots were extracted from peat substrate under tap water. Seedling sampling was performed after chilling treatment, just before planting in the field.

2.5. Dry Weight of Broccoli Seedlings and Mature Heads

The dry weight (DW) content was determined in the seedlings (shoots, roots) and in mature broccoli heads. Plant samples were dried at 92–95 °C until they reached constant mass, and the DW content was expressed in g per 100 g of FW. Next, the total dry weight of seedling shoots and roots was calculated and presented in g per plant parts (shoots, roots).

2.6. Soluble Sugars and L-ascorbic Acid Determination of Broccoli Seedlings and Mature Heads

Broccoli seedlings and mature heads were sampled, as mentioned above. Soluble sugars were determined by the anthrone method, according to Yemm and Willis [22]. Briefly, plant material (1 g) was mixed with 50 mL of 80% ethanol and the mixtures were boiled in 100 °C. Anthrone reagent (0.2 g anthrone in 100 mL H2SO4) was added in the amount of 4 mL, and the samples were placed for 10 min in a water bath (100 °C) and cooled down to room temperature. Next, the absorbance was measured at 625 nm using a Helios Beta spectrophotometer (Thermo Fisher Scientific Inc., Waltham, MA, USA).
L-ascorbic acid was measured by the Tillmans method [23]. Plant material (50 g) was mixed with 200 mL of CH3COOH and, after 30 min, the extract was titrated with the reagent 2,6-dichlorophenolindophenol (Tillman’s reagent). Excessive dye in an acidic environment gives a pink color and marks the end point of the titration. Then, the amount of Tillman’s reagent used for titration was recalculated to the content of L-ascorbic acid.

2.7. Photosynthetic Pigments Content of Mature Broccoli Heads

Plants were sampled, as mentioned above, and analyzed on pigments content according to the method described by Lichtenthaler and Wellburn [24]. Plant samples (0.1 g) were ground with 3 mg of magnesium carbonate (MgCO3). Chlorophyll a, chlorophyll b, and carotenoids were extracted in 80% (v/v) aqueous acetone (25 mL). After 0.5 h in the dark and filtration (filter paper POCH SA, No. 978774513, Gliwice, Poland), the absorbance was read at 663, 646, and 470 nm, respectively, using a Helios Beta spectrophotometer. The chlorophyll and carotenoids contents were calculated using the equations described by Lichtenthaler and Wellburn [24].

2.8. Mineral Composition of Mature Broccoli Heads

Mineral composition of broccoli heads was determined according to the method described by Ostrowska et al. [25]. Sampled heads were washed in demineralized water, ground in a blender, dried in an oven at 70 ° C, and fragmented by the colloidal mill (Retsch ZM 200, Haan, Germany). The dried material (5 g) was burnt wet at 500 °C and the ash was dissolved in 2.5 mL of 20% solution HNO3. The suspension was vaporized and 2.5 mL of 20% HCl was added and again it was vaporized. Finally, 2.5 mL of 20% HNO3 was added to the precipitate; all of this was transferred to the flasks and filled with distilled water to a 25-mL volume. The element contents (K, Mg, Ca, Fe, Cu, Mn, Zn) were determined by absorption spectrometer Varian Spectr AA 20 (Palo Alto, CA, USA). Phosphorus was determined by a colorimetric method using a 1:1 mixture of ammonium methanavanadate NH₄VO₃ and ammonium molybdate (NH4)6Mo7O24·4H2O solutions (10 mL), which was added to 2.5 mL of sample solution. The transmittance of the samples was determined on a Helios Beta spectrophotometer at a wavelength of 460 nm.

2.9. Statistical Analysis

The results were evaluated statistically based on the analysis of ANOVA in the STATISTICA program (TIBCO Software Inc., Palo Alto, CA, USA) using HSD Tukey’s test to separate means into homogenous groups at p < 0.05 (*) for temperature duration (TD), temperature level (TL), and their interaction (TD × TL). The level of significance was also assessed at p < 0.01 (**) and p < 0.001 (***). Data for each measurement represent the mean of four replications ± standard deviation (SD). Before further analysis, data were pooled over the 3 years for greater clarity and due to similarities in plant response. Linear correlation (Descriptive Statistics module) and polynomial regression (General Regression Models module) analysis was performed to find relationships between chosen seedlings and heads traits and to developed regression equations, allowing to estimate dry weight, soluble sugars, and L-ascorbic acid content in the heads of broccoli on the basis of its contents in the chilled seedlings. No such relationships were found for chlorophyll a, chlorophyll b, and carotenoids, thus these data were not presented. Analyzes were carried out by checking the significance at p < 0.05 and determining the linear correlation coefficient (r) and, for regression models, the coefficient of determination (R2) and adjusted coefficient of determination (R2adj.).

3. Results

3.1. Morphological Parameters of Broccoli Seedlings

Morphological traits of broccoli seedlings were highly affected by temperature treatment (Table 1). The lowest height, number of leaves, leaf area, leaf perimeter, and leaf width were shown by plants exposed to 6 °C for 2 weeks, and, in the case of leaf perimeter and leaf width, no statistically significant differences were found for plants treated with 10 °C for 2 weeks. The only difference in leaf length was observed for the plants treated with 6 °C for 1 week and 14 °C for 2 weeks. For almost all the seedling parameters assessed, higher values were found for the control, with the only exception of the leaf length, whose values were not statistically different from those relevant to the other temperature combinations. These observations were confirmed by the analysis of main effects of temperature duration: broccoli plants treated with the two lowest temperatures for 2 weeks were smaller than those exposed to the same temperatures for 1 week, while the control ones were the biggest. Only leaf length was not affected by temperature duration. The leaf area showed the most spectacular decrease in plants treated with the low temperature for 2 weeks, with a 32.2% lower value than the control. The effect of temperature level itself was also statistically significant. As the temperature decreased, the plant height and the number of leaves gradually decreased, with significant differences for each treatment and the greatest gap corresponding to 6 °C (25.3% and 21.6% lower than the control, respectively). The seedlings had the lowest leaf area and leaf perimeter at 6 and 10 °C, i.e., 27.7% and 16.5% lower than the control, respectively. The control plants had the widest leaves, but no length differences compared to the other treatments.

3.2. Fresh and Dry Weight of Broccoli Seedlings

All temperature regimes decreased shoot fresh weight (FW) by 48.8% (6 °C/2 weeks) to 21.4% (14 °C/1 week) in comparison to the control (Table 2). Broccoli seedlings treated with 14 °C for 2 weeks had the lowest content of dry weight (DW, expressed in g per 100 g FW) while the highest content was found in the seedlings exposed to 6 °C for 2 weeks. The total shoot dry weight was the lowest under low-temperature treatments, as compared to the control. The most spectacular decrease was found for plants treated with 6 °C and 10 °C for 2 weeks (a decrease by 42.7% and 44.7% in comparison to the control, respectively). In the aforementioned treatments, root fresh weight was the lowest, by 56.0% and 62.0% in comparison to the control, respectively. Temperatures of 10 °C and 14 °C maintained for 1 weeks in the surrounding of seedlings did not cause reductions of root fresh weight. The lowest root dry weight was found for seedlings subjected to 10 °C for 1 week, while the highest content of DW occurred in broccoli grown at 10 °C for 2 weeks, with differences reaching 21.7% (↓) and 20.8% (↑), respectively, in comparison to the control. All temperature regimes decreased the total root DW in comparison to the control, at the highest extent (53.2%) in the case of 10 °C/2 weeks. Results of main effects analysis showed generally the lowest shoot and root FW and DW in plants treated with the low temperature for 2 weeks, representing significantly higher values in plants treated with the same temperatures for 1 week, and the highest fresh and dry weight usually in control plants. Only shoot DW content of control plants did not significantly differ from that recorded in plants treated for 1 week. Furthermore, the percentage content of root DW of control broccoli was lower than that of plants treated with the low temperatures for 2 weeks. The effect of temperature level itself was also statistically significant. The fresh weight of shoot and root was the highest in control seedlings, lower in plants treated with 14 °C, and the lowest in plants exposed to 6 °C and 10 °C. A higher content of DW was observed at 6 °C (by 0.89 g 100 g−1 FW); however, the other temperatures decreased its content (by 0.35 and 1.11 g 100 g−1 FW, respectively) in comparison to the control plants. Only a similar trend was found for root DW, not confirmed statistically. Total shoot DW and total root DW was the highest in control seedlings, while all temperatures decreased DW contents.

3.3. Soluble Sugars and L-Ascorbic Acid of Broccoli Seedlings and Mature Heads

The highest content of soluble sugars was recorded in broccoli seedlings exposed to 6 °C for 1 week, while 10 °C maintained for 2 weeks caused the highest decrease in their content, with differences reaching 59.8% (↑) and 58.8% (↓), respectively, compared to the control plants (Figure 1a). Generally, plants treated with different low temperatures for 1 week showed the highest level of soluble sugars (SS), while the lowest content of SS was detected in plants associated to 2 weeks of treatment. The temperature at 6 °C level caused the highest increase in SS content (by 26.5%), while the 14 °C-treated plants had the lowest concentration of these compounds (by 41.7%), when compared to the control.
All temperature regimes caused a decrease in L-ascorbic acid contents, the most remarkable corresponding to 14 °C/2 weeks (by 37.5%) when compared to the control plants (Figure 1b). Seedlings treated with 10 °C and 14 °C for 2 weeks had lower content of L-ascorbic acid than plants treated for 1 weeks with the same temperatures, while 6 °C/2 weeks treatment increased level of L-ascorbic acid when compared to 6 °C for 1-week treatment. Generally, the low-temperature treatments for 1 and 2 weeks decreased the level of L-ascorbic acid (by 10.5% and 23.9%, respectively). Taking into account the effect of the temperature level, a decrease in the content of L-ascorbic acid should be noted, with the most spectacular change noted at 14 °C (by 25.3% as compared to the control plants).
No significant differences were found in soluble sugars (SS) between control heads and plants previously treated with 6, 10, and 14 °C for 1 week (Table 3). However, plants cultivated from seedling exposed to 6, 10, and 14 °C for 2 weeks had significantly higher SS content than control heads, especially when 14 °C temperature was used. Only plants chilled at 6 °C and 10 °C for 1 week had lower content of L-ascorbic acid in the mature heads than control broccoli, whereas other treatments caused an increase in the level of this phytochemical, at the highest extent under 14 °C/2 weeks (by 13.4% compared to the control). Considering the effect of chilling duration, significantly higher concentrations of soluble sugars and L-ascorbic acid were found in broccoli heads when seedlings had been treated with low temperature for 2 weeks. On the other hand, treatment of seedlings with low temperature for 1 week decreased the accumulation of these constituents. Generally, after seedlings were subjected to 14 °C, the level of SS and L-ascorbic acid increased considerably in comparison to control heads (by 10.7% and 8.0%, respectively). Treatments with 6 and 10 °C also significantly elevated the level of L-ascorbic acid in mature broccoli heads when compared to the control plants.

3.4. Dry Weight and Photosynthetic Pigments Content of Fully Mature Broccoli Heads

The highest dry weight content of broccoli heads was observed in plants previously chilled for 2 weeks at 6 °C, 10 °C, and 14 °C (Table 4). Plants subjected to such temperatures for 1 week showed a lower content of DW in broccoli heads, compared to the control plants. There were no spectacular changes in chlorophyll a and chlorophyll b level due to seedlings chilling. Only plants chilled at seedling stage at 10 °C for 1 weeks had lower contents of these pigments, by 13.0% and 13.9% respectively, compared to the control. No effects of temperature duration × temperature level were found for carotenoids levels in mature heads of broccoli. Considering the effect of chilling duration, significantly lower levels of dry weight, chlorophyll a, and chlorophyll b in broccoli heads were noticed when seedlings had been treated with low temperature for 1 week. On the other hand, treatment of seedlings with low temperature for 2 weeks caused higher accumulation of dry weight in the treated heads than in the control plants, with no significant effects on chlorophylls and carotenoids. Temperature level itself also affected some contituents in broccoli heads. The highest content of dry weight was shown in the heads of broccoli cultivated from seedlings exposed to 14 °C; however, the 10 °C treatment also caused an increase in dry weight compared to the control. No significant effects of chilling temperature were noticed for chlorophyll a and carotenoids concentration in the heads; however, the chlorophyll b content of plants exposed to 10 °C at seedling stage decreased finally in comparison to the control broccoli.

3.5. Mineral Composition of Fully Mature Broccoli Heads

The temperature level and the time span of seedling exposure to lower temperatures influenced the mineral composition of the broccoli heads (Table 5). Broccoli cultivated from seedlings treated at 6 °C for 1 week had the highest content of P and Cu, more by 10.9% and 28.2%, respectively, in comparison to the control plants. Treatment of the seedlings at 6 °C/1 week and 14 °C/1 week caused significantly higher accumulation of Mn (by 19.3% and 21.7%, respectively) and Zn (by 8.8% and 9.0%, respectively) compared to the control. In the case of Zn, plants treated at 10 °C/2 weeks also showed a similar increase as aforementioned treatments. Broccoli maintained at 10 °C/2 weeks had the highest content of K, especially when compared to the control plants and 2-week treatments at 6 °C and 14 °C. Plants subjected to different temperatures for 1 week contained a similar Mg level in comparison to plants treated with the same temperatures for 2 weeks and to the control plants. Almost all temperature regimes applied at the seedling stage caused an increase in Ca content in broccoli head as compared to the control, with the most spectacular increase noted for plants treated at 6 °C for 1 week, with a difference of 11.7%. Compared to the control, a significantly higher content of Fe was recorded in broccoli treated at 14 °C for 1 week and 10 °C for 2 weeks, by 26.5% and 26.7%, respectively. Plants treated at 14 °C for 2 weeks often had similar (P, K, Mn, Zn) or lower contents (Mg, Ca, Fe, Cu) of minerals, in comparison with the control.
Exposing seedlings to different durations of low temperature caused changes in mineral composition of broccoli heads. Generally, the highest contents of minerals (P, K, Mg, Fe, Cu, Mn, and Zn) were recorded in plants chilled at seedling stage for 1 week. Treatments with low temperature for 2 weeks caused an increase in P and Zn, but a decrease in Mg when compared to the control broccoli.
Exposure of seedlings to different temperature levels, regardless of the chilling duration, caused changes in minerals levels of broccoli heads. Application of lower temperatures (6, 10, and 14 °C) increased P and Zn contents in comparison to the control, plants treated with 10 °C had more K, Fe, and, together with 6 °C treatment, Cu. The lowest temperature applied to the seedlings (6 °C) caused an increase in the Mn content of broccoli heads. No effects of seedling chilling was noted for Ca, though plants treated at 6 °C had more Ca than those exposed to 14 °C. Furthermore, 10 °C caused an increase in Mg level in broccoli heads in comparison to plants treated with 14 °C.

3.6. Relationships among Quality Parameters of Seedlings and Fully Mature Broccoli Heads

The selected quality parameters of broccoli seedlings and heads were analyzed by correlation and regression analysis, including the content of dry weight, soluble sugars, L-ascorbic acid, chlorophyll a and b, and carotenoids. No significant relationships were found for chlorophyll pigments and carotenoids in the seedling and in the broccoli heads. It also turned out that linear correlations between the parameters of seedlings and broccoli heads occurred after splitting the data into two groups: the plants treated at seedling stage with lower temperatures for 1 week and for 2 weeks.
Correlations were significant in the case of dry weight, but only for the plants treated with chilling temperatures for 2 weeks (Figure 2a), where r = −0.8556 (p = 0.0004). There was no linear relationship between DW of the seedlings and DW of broccoli heads in the case of 1 week treatment (p = 0.2770). However, developed regression model showed that the DW content of broccoli heads was significantly dependent (p < 0.001) on the content of DW in the seedlings (Figure 2b), the nature of this relationship was non-linear, and the coefficient of determination was high (R2 = 0.8012). The regression equation was developed for predicting DW of broccoli heads (DW-H) on the basis of DW content of the seedlings (DW-S), both DW contents expressed in g 100 g−1 FW:
DW-H = 54.4426705776 − 8.87788167831 * DW-S + 0.429256357812 * DW-S2
There were no linear correlations between the content of soluble sugars in the seedlings and in mature broccoli heads (Figure 3a). However, regression analysis proved that a non-linear relationship between these traits exists (Figure 3b). The model was statistically significant (p = 0.003), although the coefficient of determination R2 and adjusted coefficient of determination R2adj. were rather low (0.4235 and 0.3686, respectively). Content of soluble sugars in broccoli heads (SS-H) can be approximately calculated from the following equation on the basis of SS content of the seedlings (SS-S), whereby SS contents were expressed as g 100 g−1 FW:
SS-H = 2.62494446261 − 0.957374013596 * SS-S + 0.332573773417 * SS-S2
There were significant and negative correlations between L-ascorbic acid content in the seedlings and in mature broccoli heads (Figure 4a). Plants chilled for 2 weeks had a very high linear correlation coefficient (r = −0.9840). Similarly high, though slightly lower (r = −0.8905), was noted for plants associated to 1-week treatment. A regression model for predicting L-ascorbic acid in broccoli heads (AsA-H) on the basis of content of this compound in the seedlings (AsA-S) was significant (p < 0.001), but R2 and R2adj. were relatively low (0.5873 and 0.5480, respectively) (Figure 4b). An approximate content of L-ascorbic acid in broccoli heads can be obtained using a regression equation (contents were expressed in mg 100 g−1 FW):
AsA-H = 89.2869611715 − 0.766802210614 * AsA-S + 0.00358044157494 * AsA-S2

4. Discussion

4.1. Broccoli Seedlings Morphological Traits and Chemical Composition as Affected by Chilling

Broccoli seedlings exhibited a series of morphological changes due to different levels of lowered temperature and different time spans of its exposition. The chilling treatments resulted primarily in the reduction in the seedling height and leaf parameters (number, area, perimeter, and width). Juvenile plants also showed a decrease in fresh and dry weights of shoots and roots. It is well known that exposure of plants to low temperatures hampers their growth via thermodynamically decline of the kinetics of several physiological and metabolic processes [26,27]. A decrease in seedling height and leaf area as well as slower leaf development was observed by Kalisz et al. [28] for Chinese cabbage. Furthermore, Rodríguez et al. [29] noted that plants grown under chilling conditions developed smaller leaves than those grown under control; there was no effect of temperature in the leaf shape of the cabbage, whereas the leaves of the kale developed under thermal stress reacted more by increasing length than width. In our experiment, seedling fresh and dry weights were significantly affected by stressful temperature treatments. The slower growth rate of chilled seedlings resulted in the production of a lower fresh weight of shoots and roots in comparison to the control ones. Rodríguez et al. [29] reported a strong reduction in fresh weight of cabbage and kale by 50%, compared to values observed under control temperature. We observed notable decrease in total dry weight of shoots and roots. Low temperature can affect dry weight production through its limiting effects on the photosynthetic capacity, size of the leaves, and leaf expansion. Moreover, at chilling temperatures, shoot growth processes may be limited by a decreased amount of assimilates, and root water uptake is reduced because of decreased transmembrane transport [30,31]. We observed a significant reduction in the shoot water content in plants grown under 6 °C as compared to the control plants, which indicate some difficulties in water uptake and conducting water from roots to shoots (see also [32]). However, when chilling temperature were maintained at 10 °C and 14 °C, a decrease in the percentage of dry weight was noticed, which proves that seedlings contained more water than the control plants grown in 18 °C. In a previous study [28], Chinese cabbage seedlings produced in unheated greenhouse also had a lower percentage of dry weight in comparison with the control plants.
Chilling may result in cellular dehydration [32] and plants react by biosynthesizing osmolytes, such as proline or soluble sugars (SS), which adjust osmotic potential [33]. Plants under stress increase soluble sugars concentration compared to non-stressed plants [34], which reduce osmotic potential and improve stress tolerance [32]. Measurements of soluble sugars concentration in broccoli seedlings showed that values were significantly higher in plants treated with 6 °C (especially after 1 week of exposure); however, SS content in seedlings treated with 10 °C and 14 °C was generally lower in comparison to the control. The lowest temperature applied turned out to be the strongest stimulus for the synthesis of sugars; although, after 2 weeks of chilling, some stabilization in this regard was visible and the sugars content was comparable to their amount in the control plants.
Chilling stress exacerbates reactive oxygen species (ROS) production in plants’ cell. Excess production and the accumulation of ROS causes oxidative stress that leads to disruption of cellular membranes, enzymes inactivation, lipid peroxidation, protein degradation, and ionic imbalance in plants [8,10]. Efficient scavenging of ROS requires the action of several nonenzymatic antioxidants including ascorbic acid (AsA). Thus, we expected higher levels of L-ascorbic acid in chilled plants, though it turned out that the plants treated with lowered temperatures generally had a lower concentration of AsA than the control seedlings. Because the purpose of this study was not to delve into the action of antioxidant mechanisms, it can only be assumed that the role of scavengers was taken over by other antioxidant compounds, or plants have already used AsA to cope with the oxidative stress.

4.2. Broccoli Heads Chemical Composition as Affected by Seedlings Chilling

In our research, it turned out that exposing broccoli seedlings to different temperature and for different time periods caused long-term effects, which reflected in the alteration of chemical composition of mature heads. The short-term exposure of plants to chilling may alter metabolic pathways and physiological processes, and cause changes at the molecular level and finally in the growth [8,10,32,35]. Metabolic modulation after plant exposure to chilling leads to acclimatization processes and primed state that may persist until a subsequent exposure [35,36]. Sometimes stress-induced modifications revert to the initial level once the stress factor is removed, though some alterations in plant metabolism are stable, more long-lasting, and can be visible even after several days or weeks, implying that plants have some type of stress memory [37,38]. However, in many cases, such a stress memory is not established, but the reasons for this are poorly understood. There is also a significant gap in our understanding of stress memory length and dissipation mechanisms [36]. Our research confirmed the stress memory induction as chilled plants formed heads containing more L-ascorbic acid (6, 10 and 14 °C), dry weight (10 and 14 °C), and soluble sugars (14 °C). An interesting fact is that seedling chilling did not affect chlorophylls and carotenoids concentrations in mature broccoli heads.
L-ascorbic acid belongs to the group of main non-enzymatic antioxidants that play a vital role in the mitigation of excessive ROS activity as well as in ROS detoxification [10,39,40]. Some reports on chilling stress described higher levels of AsA in plants treated with low temperature [41]. As we noted, both 1 and 2 weeks of chilling did not increase the concentration of L-ascorbic acid in the seedlings, and, in this respect, a possible explanation was mentioned above, though it seems that stress predisposed plants to a more intensive synthesis of L-ascorbic acid in further stages of ontogeny, which resulted in increased levels observed during broccoli harvesting. This assumption is confirmed by the results of the correlation analysis and the developed regression model for AsA. Taking these results into account, an interesting fact was observed, namely the lower content of L-ascorbic acid in the seedlings was associated with its greater amount in mature broccoli heads.
The percentage of dry weight and soluble sugars in fresh weight of broccoli heads was significantly higher when seedlings were subjected to 10 and 14 °C or 14 °C, respectively. It seems, however, that these parameters will not necessarily be very important biomarkers of stress, taking into account relatively small differences in the obtained values, although statistically confirmed. However, it is visible on the basis of the regression models obtained that the relationship between the dry weight or soluble sugars (g 100 g−1 FW) content in seedlings and its content in broccoli heads exists and is non-linear.
Manifestation of stress memory possibly modified plant growth and metabolism, altering the uptake, distribution, and accumulation of chemical elements. In previous studies, we observed that chilling of cauliflower juvenile plants resulted in increased concentrations of N, P, Ca, S, Mg, Na, B, Cu, Zn, Pb, Ag, Ba, Co, Sc, Sr, and Tb, and decreased Mo, Cr, and Y contents of mature curds [18,19]. Furthermore, Sękara et al. [42] proved that chilling of seedlings affects the levels of mineral nutrients in the fruits of previously stressed eggplants. Therefore, we proved that the application of the stress factor of plant seedling may result in changes in the content of elements in edible plant parts, but the mechanism by which the accumulation of elements is changed still requires additional research. We observed that application of a particular level of lower temperature to the seedlings may increase P, K, Fe, Cu, Mn, and Zn contents in the heads of broccoli in comparison to the control. In another study [43], it was shown that temperature stress slowed the initial growth of the broccoli plants in the field compared to the non-chilled control, but later their development was accelerated. The reason for the higher level of minerals in chilled broccoli observed in present study may be the higher plant growth pace, which means a greater demand for mineral elements and accordingly a higher absorption amount. However, uptake processes are important but maintaining primed state by plants requires the allocation of resources [38] which can be different due to chilling treatment. Thus, the concentration of particular elements in edible parts of the chilled and non-chilled plants may be a result of diverse growth pace and nutrient demand [18], alteration in root morphology or in uptake and distribution of elements in the tissues [44,45], and synergism and antagonism between them [46], but involvement of elements in acclimatization processes and keeping primed state [47,48] should also be taken into consideration.

4.3. Relationships between the Seedling Traits and the Chemical Composition of Fully Mature Broccoli Heads

We presented an insight into linking some broccoli seedling traits with those of already mature plants. The quality of seedlings influences further growth and development of crops and plays an important role in the final condition of plants [42,49,50]. In this context, controlled abiotic stress applied at the seedling stage can be used as a tool for inducing stress memory, which leads to modification of plant metabolic pathways and altering the level of several phytochemicals, potentially having an impact on the nutraceutical value of the yield [36,37,38]. The search for biomarkers that will testify the existence of a stress memory is ongoing, but it is a difficult task, especially when it involves the traits of juvenile plants and the traits of fully mature plants grown in the field. Plant modeling is a way to synthesize and simplify complex interactions throughout the plant life cycle to obtain information about the most relevant target traits of juvenile plants that can be considered as stress markers, which alteration can be noticeable in mature plants. The existence of such relationships has already been preliminary examined for some vegetable species, including cauliflower and broccoli [16,18,19,43,51]. In previous study, we have presented the long-term effects of seedling chilling on subsequent broccoli development in the field and its yield [43]. More specifically, we tracked changes in fresh weight (FW), dry weight (DW), and chosen leaf parameters that were measured from 21st day after planting the plants to the field and for the next 40 days. It was found that chilling finally increased (after two months) both the FW and DW of broccoli, particularly when 6 °C for 1 week (FW) and 14 °C for 1 week (FW and DW) were applied, while the leaf area and leaf perimeter were significantly influenced by chilling only one month after planting. The present study followed up that experiment, and we focused on the characteristics of plants at two other time points: just before planting and during harvest, looking for biomarkers in chosen phytochemicals. The obtained results indicate that the role of such a biomarker may be referred to L-ascorbic acid, although a negative correlation between the content of this compound in the broccoli seedlings and in the harvested mature heads was unexpected (Figure 4a). Dry weight content can also be an indicator of plant stress exposure, but in this case the relationship was not linear (Figure 2b). However, the regression model obtained for DW was characterized by a high R-squared value and it fits the observed data in 80%.

5. Conclusions

Based on the results obtained, we can conclude that chilling treatment of broccoli seedlings significantly influence juvenile plant fresh weight and its morphology, content of dry weight, soluble sugars, and L-ascorbic acid. Long-term effects of seedling chilling involved the alteration of dry weight, soluble sugars, and L-ascorbic acid contents in broccoli heads, but with no influence on chlorophylls and carotenoids accumulation. This study also demonstrated variability in the accumulation of the assessed elements in broccoli heads resulted from diverse pace of growth and nutrient demand of chilled and non-chilled plants. The relationship between L-ascorbic acids content in seedlings and in mature broccoli heads suggests that it can be perceived as a stress biomarker.

Author Contributions

Conceptualization, A.K. and J.G.; methodology, A.K. and E.K.; formal analysis, J.G.; investigation, J.G. and A.K.; writing-original draft preparation, J.G. and A.K; writing-review and editing, A.K., A.S. (Agnieszka Sękara), E.K., A.S. (Andrzej Sałata) and G.C.; visualization, J.G. and A.K.; supervision, A.K.; funding acquisition, A.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Polish Ministry of Science and Higher Education, grant number N N310 305239.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Most data supporting the results are included in the article. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Content of soluble sugars (a) and L-ascorbic acid (b) of broccoli seedlings depending on the temperature duration (TD: 1 week and 2 weeks) and level (TL: 6 °C, 10 °C, 14 °C, 18 °C—control, C). Means followed by different capital letters with regard to temperature duration and temperature level effects (red and blue columns, respectively), and lowercase letters for interactions (TD × TL; green columns) are significantly different at p ≤ 0.05, according to Tukey’s honestly significant difference test. Level of significance: *** p ≤ 0.001. Data are means of four replications ± SD (error bars).
Figure 1. Content of soluble sugars (a) and L-ascorbic acid (b) of broccoli seedlings depending on the temperature duration (TD: 1 week and 2 weeks) and level (TL: 6 °C, 10 °C, 14 °C, 18 °C—control, C). Means followed by different capital letters with regard to temperature duration and temperature level effects (red and blue columns, respectively), and lowercase letters for interactions (TD × TL; green columns) are significantly different at p ≤ 0.05, according to Tukey’s honestly significant difference test. Level of significance: *** p ≤ 0.001. Data are means of four replications ± SD (error bars).
Agronomy 11 01806 g001aAgronomy 11 01806 g001b
Figure 2. Linear relationship between dry weight (DW) of broccoli seedlings and DW content of fully mature broccoli heads, separately for temperature duration (a), and polynomial regression model for DW content of broccoli heads depending on the DW content of the seedlings (b). r—Pearson correlation coefficient, R2—coefficient of determination, R2adj.—adjusted coefficient of determination, p—probability level.
Figure 2. Linear relationship between dry weight (DW) of broccoli seedlings and DW content of fully mature broccoli heads, separately for temperature duration (a), and polynomial regression model for DW content of broccoli heads depending on the DW content of the seedlings (b). r—Pearson correlation coefficient, R2—coefficient of determination, R2adj.—adjusted coefficient of determination, p—probability level.
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Figure 3. Linear relationship between soluble sugars (SS) of broccoli seedlings and SS content of fully mature broccoli heads, separately for temperature duration (a), and polynomial regression model for SS content of broccoli heads depending on the SS content of the seedlings (b). r—Pearson correlation coefficient, R2—coefficient of determination, R2adj—adjusted coefficient of determination, p—probability level.
Figure 3. Linear relationship between soluble sugars (SS) of broccoli seedlings and SS content of fully mature broccoli heads, separately for temperature duration (a), and polynomial regression model for SS content of broccoli heads depending on the SS content of the seedlings (b). r—Pearson correlation coefficient, R2—coefficient of determination, R2adj—adjusted coefficient of determination, p—probability level.
Agronomy 11 01806 g003aAgronomy 11 01806 g003b
Figure 4. Linear relationship between L-ascorbic acid (AsA) of broccoli seedlings and AsA content of fully mature broccoli heads, separately for temperature duration (a), and polynomial regression model for AsA content of broccoli heads depending on the AsA content of the seedlings (b). r—Pearson correlation coefficient, R2—coefficient of determination, R2adj.—adjusted coefficient of determination, p—probability level.
Figure 4. Linear relationship between L-ascorbic acid (AsA) of broccoli seedlings and AsA content of fully mature broccoli heads, separately for temperature duration (a), and polynomial regression model for AsA content of broccoli heads depending on the AsA content of the seedlings (b). r—Pearson correlation coefficient, R2—coefficient of determination, R2adj.—adjusted coefficient of determination, p—probability level.
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Table 1. Effect of low-temperature treatment on morphological parameters of broccoli seedlings.
Table 1. Effect of low-temperature treatment on morphological parameters of broccoli seedlings.
Temperature Duration
(Weeks)
Temperature Level
(°C)
Height
(cm)
Number
of Leaves
Leaf Area
(cm2)
Leaf Perimeter
(cm)
Leaf Width
(cm)
Leaf Length
(cm)
1618.5 ± 0.33 c4.3 ± 0.06 b29.8 ± 0.89 d39.5 ± 1.18 b5.8 ± 0.10 d6.9 ± 0.14 a
1018.3 ± 0.27 c4.6 ± 0.11 c27.5 ± 0.47 c39.7 ± 0.43 b5.5 ± 0.05 cd7.1 ± 0.13 ab
1419.5 ± 0.24 d4.8 ± 0.06 c28.4 ± 0.77 cd40.2 ± 0.90 b5.6 ± 0.16 d7.2 ± 0.18 ab
2616.2 ± 0.27 a3.7 ± 0.14 a21.8 ± 0.46 a34.2 ± 0.52 a4.9 ± 0.12 a7.0 ± 0.08 ab
1017.0 ± 0.20 b4.2 ± 0.11 b23.7 ± 0.90 b35.8 ± 1.43 a5.1 ± 0.07 ab7.1 ± 0.24 ab
1419.2 ± 0.09 d4.6 ± 0.08 c27.2 ± 0.38 c39.0 ± 0.32 b5.3 ± 0.03 bc7.4 ± 0.09 b
Control1823.3 ± 0.19 e5.1 ± 0.20 d35.7 ± 1.43 e44.2 ± 1.24 c6.2 ± 0.16 e7.2 ± 0.20 ab
Duration (TD) (weeks)
118.8 ± 0.60 B4.6 ± 0.20 B28.6 ± 1.17 B39.8 ± 0.90 B5.6 ± 0.14 B7.1 ± 0.21 A
217.5 ± 1.31 A4.2 ± 0.41 A24.2 ± 2.42 A36.3 ± 2.26 A5.1 ± 0.21 A7.2 ± 0.20 A
Control23.3 ± 0.19 C5.1 ± 0.20 C35.7 ± 1.43 C44.2 ± 1.24 C6.2 ± 0.16 C7.2 ± 0.20 A
Temperature (TL) (°C)
617.4 ± 1.23 A4.0 ± 0.36 A25.8 ± 4.35 A36.9 ± 2.97 A5.4 ± 0.49 A7.0 ± 0.14 A
1017.7 ± 0.75 B4.4 ± 0.25 B25.6 ± 2.16 A37.8 ± 2.11 A5.3 ± 0.27 A7.1 ± 0.18 AB
1419.4 ± 0.25 C4.7 ± 0.10 C27.8 ± 1.00 B39.6 ± 0.87 B5.5 ± 0.18 A7.3 ± 0.15 B
Control23.3 ± 0.19 D5.1 ± 0.20 D35.7 ± 1.43 C44.2 ± 1.24 C6.2 ± 0.16 B7.2 ± 0.20 AB
Significance
TD***************ns
TL*****************
TD × TL*****************
Within each column, mean values followed by different capital letters with regard to main effects (TD, TL) and lowercase letters for interactions (TD × TL), are significantly different at p ≤ 0.05 according to Tukey’s HSD test. Level of significance: ** p ≤ 0.01; *** p ≤ 0.001; ns—not significant. Data are means of four replications ± SD.
Table 2. Effect of low-temperature treatment on fresh weight and dry weight of broccoli seedlings.
Table 2. Effect of low-temperature treatment on fresh weight and dry weight of broccoli seedlings.
Temperature Duration
(Weeks)
Temperature Level
(°C)
Shoot Fresh Weight
(g per Plant)
Shoot Dry Weight
(g 100 g−1 FW)
Total Shoot Dry Weight
(g per Plant)
Root Fresh Weight
(g per Plant)
Root Dry Weight
(g 100 g−1 FW)
Total Root Dry Weight
(g per Plant)
163.77 ± 0.268 b10.72 ± 0.046 d0.404 ± 0.0271 c0.38 ± 0.025 c12.63 ± 0.640 bc0.048 ± 0.0055 b
103.66 ± 0.521 b10.35 ± 0.166 c0.379 ± 0.0513 bc0.47 ± 0.043 d9.77 ± 0.170 a0.046 ± 0.0044 b
143.85 ± 0.145 b9.32 ± 0.085 b0.359 ± 0.0127 bc0.48 ± 0.022 d12.14 ± 0.203 b0.058 ± 0.0030 c
262.51 ± 0.183 a11.36 ± 0.090 e0.285 ± 0.0213 a0.22 ± 0.007 a13.95 ± 0.869 cd0.031 ± 0.0023 a
102.97 ± 0.100 a9.25 ± 0.061 b0.275 ± 0.0100 a0.19 ± 0.017 a15.07 ± 0.926 d0.029 ± 0.0029 a
143.71 ± 0.178 b8.75 ± 0.059 a0.325 ± 0.0169 ab0.30 ± 0.028 b11.54 ± 0.472 b0.035 ± 0.0030 a
Control184.90 ± 0.038 c10.15 ± 0.083 c0.497 ± 0.0012 d0.50 ± 0.032 d12.48 ± 0.378 b0.062 ± 0.0048 c
Duration (TD) (weeks)
13.76 ± 0.326 B10.13 ± 0.627 B0.381 ± 0.0366 B0.44 ± 0.056 B11.51 ± 1.355 A0.051 ± 0.0069 B
23.06 ± 0.537 A9.79 ± 1.181 A0.295 ± 0.0271 A0.24 ± 0.052 A13.52 ± 1.694 C0.032 ± 0.0036 A
Control4.90 ± 0.038 C10.15 ± 0.083 B0.497 ± 0.0012 C0.50 ± 0.032 C12.48 ± 0.378 B0.062 ± 0.0048 C
Temperature (TL) (°C)
63.14 ± 0.708 A11.04 ± 0.348 D0.346 ± 0.0676 A0.30 ± 0.087 A13.29 ± 0.997 B0.040 ± 0.0101 A
103.32 ± 0.508 A9.80 ± 0.597 B0.327 ± 0.0652 A0.33 ± 0.150 A12.42 ± 2.898 A0.038 ± 0.0096 A
143.78 ± 0.169 B9.04 ± 0.311 A0.342 ± 0.0230 A0.39 ± 0.097 B11.84 ± 0.467 A0.047 ± 0.0128 B
Control4.90 ± 0.038 C10.15 ± 0.083 C0.497 ± 0.0012 B0.50 ± 0.032 C12.48 ± 0.378 AB0.062 ± 0.0048 C
Significance
TD******************
TL******************
TD × TL******************
Within each column, mean values followed by different capital letters with regard to main effect (TD, TL) and lowercase letters for interactions (TD × TL), are significantly different at p ≤ 0.05 according to Tukey’s HSD test. Level of significance: *** p ≤ 0.001. Data are means of four replications ± SD.
Table 3. Effect of low-temperature treatment of the seedlings on soluble sugars (g 100 g−1 FW) and L-ascorbic acid (mg 100 g−1 FW) contents of broccoli heads.
Table 3. Effect of low-temperature treatment of the seedlings on soluble sugars (g 100 g−1 FW) and L-ascorbic acid (mg 100 g−1 FW) contents of broccoli heads.
Temperature Duration
(Weeks)
Temperature Level
(°C)
Soluble
Sugars
L-Ascorbic
Acid
161.95 ± 0.046 a48.68 ± 0.200 b
101.92 ± 0.038 a46.82 ± 0.257 a
141.94 ± 0.034 a50.74 ± 0.321 d
262.15 ± 0.036 b53.42 ± 0.006 e
102.17 ± 0.034 b55.42 ± 0.349 f
142.46 ± 0.045 c56.13 ± 0.239 g
Control181.99 ± 0.008 a49.51 ± 0.054 c
Duration (TD) (weeks)
11.94 ± 0.038 A48.75 ± 1.687 A
22.26 ± 0.151 C54.99 ± 1.222 C
Control1.99 ± 0.008 B49.51 ± 0.054 B
Temperature (TL) (°C)
62.05 ± 0.115 A51.05 ± 2.536 B
102.05 ± 0.139 A51.12 ± 4.604 B
142.20 ± 0.279 B53.44 ± 2.896 C
Control1.99 ± 0.008 A49.51 ± 0.054 A
Significance
TD******
TL******
TD × TL******
Within each column, mean values followed by different capital letters with regard to main effect (TD, TL) and lowercase letters for interactions (TD × TL), are significantly different at p ≤ 0.05 according to Tukey’s HSD test. Level of significance: *** p ≤ 0.001. Data are means of four replications ± SD.
Table 4. Effect of low-temperature treatment of the seedlings on dry weight (g 100 g−1 FW), chlorophylls, and carotenoids (mg 100 g−1 FW) contents of broccoli heads.
Table 4. Effect of low-temperature treatment of the seedlings on dry weight (g 100 g−1 FW), chlorophylls, and carotenoids (mg 100 g−1 FW) contents of broccoli heads.
Temperature Duration
(Weeks)
Temperature Level
(°C)
Dry
Weight
Chlorophyll
a
Chlorophyll
b
Carotenoids
168.56 ± 0.034 a5.73 ± 0.319 b3.37 ± 0.126 b0.78 ± 0.136 a
108.70 ± 0.031 b5.00 ± 0.032 a2.86 ± 0.049 a0.66 ± 0.023 a
148.66 ± 0.056 b5.34 ± 0.222 ab3.15 ± 0.125 b0.71 ± 0.102 a
268.96 ± 0.032 d5.46 ± 0.241 ab3.13 ± 0.144 ab0.77 ± 0.027 a
109.21 ± 0.026 e5.79 ± 0.088 b3.26 ± 0.118 b0.80 ± 0.030 a
149.72 ± 0.031 f5.65 ± 0.238 b3.20 ± 0.112 b0.78 ± 0.095 a
Control188.82 ± 0.021 c5.75 ± 0.255 b3.32 ± 0.176 b0.71 ± 0.033 a
Duration (TD) (weeks)
18.64 ± 0.072 A5.36 ± 0.371 A3.13 ± 0.238 A0.72 ± 0.103 A
29.30 ± 0.331 C5.63 ± 0.231 B3.20 ± 0.126 AB0.78 ± 0.056 A
Control8.82 ± 0.021 B5.75 ± 0.255 B3.32 ± 0.176 B0.71 ± 0.033 A
Temperature (TL) (°C)
68.76 ± 0.217 A5.60 ± 0.298 A3.25 ± 0.179 B0.78 ± 0.091 A
108.96 ± 0.275 B5.40 ± 0.427 A3.06 ± 0.230 A0.73 ± 0.078 A
149.19 ± 0.570 C5.50 ± 0.270 A3.18 ± 0.113 AB0.75 ± 0.100 A
Control8.82 ± 0.021 A5.75 ± 0.255 A3.32 ± 0.176 B0.71 ± 0.033 A
Significance
TD*****ns
TL***ns*ns
TD × TL*********ns
Within each column, mean values followed by different capital letters with regard to main effect (TD, TL) and lowercase letters for interactions (TD × TL), are significantly different at p ≤ 0.05 according to Tukey’s HSD test. Level of significance: * p ≤ 0.05; *** p ≤ 0.001; ns—not significant. Data are means of four replications ± SD.
Table 5. Effect of low-temperature treatment of the seedlings on macro- and microelement contents of broccoli heads (mg 1000 g−1 DW).
Table 5. Effect of low-temperature treatment of the seedlings on macro- and microelement contents of broccoli heads (mg 1000 g−1 DW).
Temperature Duration
(Weeks)
Temperature Level
(°C)
PKMgCaFeCuMnZn
165784 ± 136.8 d29916 ± 989 ab1314 ± 38.4 d4698 ± 655.6 b79.65 ± 2.710 bc6.542 ± 0.4539 d22.25 ± 0.908 b62.71 ± 1.971 c
105461 ± 130.6 abc30652 ± 528 bc1322 ± 16.9 d4282 ± 105.0 b82.71 ± 4.121 c5.563 ± 0.1049 bc20.40 ± 1.048 ab59.48 ± 1.827 ab
145602 ± 54.7 cd30877 ± 79 bc1333 ± 18.2 d4476 ± 312.8 b101.65 ± 1.028 d5.542 ± 0.2097 bc22.69 ± 0.661 b62.83 ± 0.365 c
265508 ± 191.6 bc29108 ± 504 a1206 ± 14.2 ab4372 ± 33.9 b75.54 ± 2.150 b5.438 ± 0.0798 bc20.48 ± 2.643 ab60.04 ± 0.867 b
105571 ± 138.2 cd31287 ± 452 c1248 ± 14.0 bc4329 ± 84.2 b101.77 ± 2.100 d5.979 ± 0.6884 cd20.23 ± 0.774 ab62.73 ± 0.605 c
145239 ± 65.4 ab28923 ± 334 a1159 ± 17.4 a3606 ± 143.0 a61.40 ± 2.312 a4.625 ± 0.1443 a18.79 ± 0.689 a56.95 ± 0.313 a
Control185214 ± 41.5 a29421 ± 167 a1290 ± 20.4 cd4208 ± 153.5 ab80.33 ± 5.001 bc5.104 ± 0.1577 ab18.65 ± 1.710 a57.65 ± 0.733 ab
Duration (TD) (weeks)
15616 ± 172.3 C30482 ± 727 B1323 ± 25.1 C4485 ± 422.3 B88.00 ± 10.498 B5.882 ± 0.5556 B21.78 ± 1.312 B61.67 ± 2.152 C
25439 ± 197.6 B29773 ± 1188 A1204 ± 40.6 A4102 ± 377.4 A79.57 ± 17.583 A5.347 ± 0.6890 A19.83 ± 1.673 A59.91 ± 2.534 B
Control5214 ± 41.5 A29421 ± 167 A1290 ± 20.4 B4208 ± 153.5 AB80.33 ± 5.001 A5.104 ± 0.1577 A18.65 ± 1.710 A57.65 ± 0.733 A
Temperature (TL) (°C)
65646 ± 213.3 C29512 ± 845 A1260 ± 63.8 AB4535 ± 463.7 B77.60 ± 3.153 A5.990 ± 0.6628 B21.37 ± 2.060 B61.38 ± 2.006 B
105516 ± 137.6 BC30970 ± 567 B1285 ± 42.1 B4306 ± 91.6 AB92.24 ± 10.630 B5.771 ± 0.5074 B20.32 ± 0.858 AB61.11 ± 2.144 B
145421 ± 202.0 B29900 ± 1068 A1246 ± 94.3 A4041 ± 516.6 A81.53 ± 21.578 A5.084 ± 0.5180 A20.74 ± 2.174 AB59.89 ± 3.163 B
Control5214 ± 41.5 A29421 ± 167 A1290 ± 20.4 B4208 ± 153.5 AB80.33 ± 5.001 A5.104 ± 0.1577 A18.65 ± 1.710 A57.65 ± 0.733 A
Significance
TD*******************
TL*******************
TD × TL***********************
Within each column, mean values followed by different capital letters with regard to main effect (TD, TL) and lowercase letters for interactions (TD × TL), are significantly different at p ≤ 0.05 according to Tukey’s HSD test. Level of significance: * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001. Data are means of four replications ± SD.
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Kalisz, A.; Gil, J.; Kunicki, E.; Sękara, A.; Sałata, A.; Caruso, G. Different Temperature Regimes Influenced the Quality of Broccoli Seedlings, Which Caused a Change in the Chemical Composition of Mature Heads. Agronomy 2021, 11, 1806. https://doi.org/10.3390/agronomy11091806

AMA Style

Kalisz A, Gil J, Kunicki E, Sękara A, Sałata A, Caruso G. Different Temperature Regimes Influenced the Quality of Broccoli Seedlings, Which Caused a Change in the Chemical Composition of Mature Heads. Agronomy. 2021; 11(9):1806. https://doi.org/10.3390/agronomy11091806

Chicago/Turabian Style

Kalisz, Andrzej, Joanna Gil, Edward Kunicki, Agnieszka Sękara, Andrzej Sałata, and Gianluca Caruso. 2021. "Different Temperature Regimes Influenced the Quality of Broccoli Seedlings, Which Caused a Change in the Chemical Composition of Mature Heads" Agronomy 11, no. 9: 1806. https://doi.org/10.3390/agronomy11091806

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