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Article

Effects of Cadmium Stress on Phenotypic Traits, Photosynthetic Performance, and Physiological and Biochemical Responses in Non-Heading Chinese Cabbage

1
Subtropical Agriculture Research Institute, Fujian Academy of Agricultural Sciences, Zhangzhou 363005, China
2
College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
3
College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
4
Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China
*
Authors to whom correspondence should be addressed.
Horticulturae 2026, 12(1), 116; https://doi.org/10.3390/horticulturae12010116
Submission received: 20 November 2025 / Revised: 11 January 2026 / Accepted: 19 January 2026 / Published: 21 January 2026
(This article belongs to the Special Issue Abiotic Stress Responses of Vegetable Crops—2nd Edition)

Abstract

Cadmium (Cd) pollution is a global environmental issue that severely impacts crop growth and food safety. This study systematically investigates the accumulation characteristics and physiological responses of different varieties of non-heading Chinese cabbage under Cd stress. A Cd stress experiment was conducted using 79 non-heading Chinese cabbage varieties under nutrient film technique (NFT) cultivation, leading to the identification of 11 high-Cd accumulation varieties, 32 medium-Cd accumulation varieties, and 36 low-Cd accumulation varieties. The results showed that all varieties primarily accumulated Cd in the roots, with weak translocation of Cd to the aerial parts. To thoroughly analyze the physiological mechanisms of Cd accumulation, two extreme phenotypes, low accumulation (GX-61) and high accumulation (GX-05), were selected for subsequent comprehensive analysis. The low-accumulation variety (GX-61) exhibited higher sensitivity to Cd stress, with significant inhibition of leaf area, canopy area, and photosynthesis. In contrast, the high-accumulation variety (GX-05) maintained a more stable physiological state by enhancing photoprotective capacity and activating peroxidase (POD) to compensate for the functional loss of catalase (CAT). Cd stress inhibition of photosynthesis was initially limited by stomatal factors, later transitioning to non-stomatal limitations, and low concentrations of Cd induced a protective response that slightly promoted plant growth. This study, through high temporal resolution analysis at key growth stages, reveals the differential responses in growth, photosynthesis, and physiological metabolism between low- and high-Cd-accumulating non-heading Chinese cabbages, providing a theoretical basis for the selection of efficient phytoremediation materials and the safe production of non-heading Chinese cabbage.

1. Introduction

Heavy metal pollution is one of the major environmental challenges facing the world today, posing significant threats to ecosystem safety and human health. Among these pollutants, cadmium (Cd) is a toxic heavy metal with high mobility, persistence, and bioaccumulation properties, which seriously endangers plant growth and development as well as human health [1]. Both the World Health Organization (WHO) and the European Union (EU) have established Cd limits in agricultural soils as important standards to curb its entry into the food chain [2]. Cd accumulation affects plant physiological indicators, often manifesting as the inhibition or promotion of enzyme activities [3]. Recent studies have shown that in plants, Cd accumulation can induce the excessive production of reactive oxygen species (ROS), leading to oxidative stress. This, in turn, causes damage to biomacromolecules such as proteins and nucleic acids, as well as to cell membrane structures [4,5]. At the same time, it interferes with key physiological processes such as photosynthesis, cell wall synthesis, and energy metabolism, ultimately resulting in a decline in crop yield and quality [6]. In leafy vegetables, Cd has a strong accumulation capacity, and the Cd in edible parts can enter the human body through the food chain, closely linked to the onset of diseases such as osteoporosis, kidney damage, and lung cancer [7].
Non-heading Chinese cabbage (Brassica chinensis L.), also known as bok choy, chingensai, or oilseed cabbage, is an important vegetable crop in the Brassicaceae family. It is characterized by a short growth cycle, high biological yield, and wide cultivation range. It is widely cultivated in East Asia, especially in countries like China, Korea, and Japan. In recent years, this crop has been successfully introduced and promoted in several countries across Europe and North America, with its cultivation area expanding, making it an increasingly popular leafy vegetable in global markets [8].
In recent years, research into the effects of Cd stress on vegetable crops, particularly Brassicaceae vegetables, has deepened. As an important edible leafy vegetable, Brassicaceae vegetables generally exhibit strong heavy metal accumulation abilities [9]. Studies have compared the accumulation behavior of various vegetables under Cd stress, finding that leafy vegetables, in particular, tend to accumulate high levels of Cd in their aerial parts, posing a direct threat to food safety [10]. Previous studies have pointed out that in Brassica rapa, Brassica juncea, and other Brassicaceae plants, Cd accumulation and transport are regulated by various factors such as root absorption capacity, transport efficiency in aerial parts, cell wall binding capacity, and antioxidant system activity [11,12,13,14]. Moreover, Cd stress significantly affects the metabolism of reactive oxygen species, levels of osmotic regulators (e.g., proline, soluble sugars), and the expression patterns of metal transport protein genes (e.g., HMA, NRAMP families) in Brassicaceae vegetables [15].
However, current research on Cd stress in Brassicaceae vegetables remains insufficient. Most studies focus on model varieties or commercial varieties such as non-heading Chinese cabbage and oilseed rape, with a limited range of research materials, making it difficult to reveal the genetic differences in Cd accumulation capabilities between varieties [16]. Furthermore, many experiments use soil or pot systems, where environmental factors are difficult to strictly control. The availability of Cd and root zone responses may be interfered with, affecting the comparability of response results.
To address the above shortcomings and systematically explore the genetic potential and physiological mechanisms of non-heading cabbage under Cd stress, this study is based on the following core hypothesis: there is extensive genetic variation in the tolerance and accumulation ability of different germplasm resources to cadmium, and this variation is intrinsically related to unique phenotypic, physiological, and photosynthetic response patterns. Based on this hypothesis, we specifically predict that large-scale screening will identify germplasm with significant differences in cadmium accumulation phenotypes; under cadmium stress, high-accumulation germplasm will show more significant growth inhibition, but may simultaneously initiate more effective physiological detoxification strategies; comparative analysis of representative phenotypes will elucidate the key mechanisms behind differential cadmium accumulation and tolerance.
This study focuses on non-heading Chinese cabbage as the research object, using the nutrient film technique (NFT) to precisely control stress conditions and systematically clarify the dynamic effects of Cd stress on the phenotypic development, physiological and biochemical characteristics, and photosynthetic traits of non-heading Chinese cabbage. Additionally, the study uses 79 non-heading Chinese cabbage germplasm resources to examine Cd accumulation characteristics and applies heatmap clustering analysis to select representative high and low accumulation varieties. A systematic investigation of the phenotypic responses, physiological metabolism, and changes in photosynthetic fluorescence parameters under Cd stress in these high and low accumulation varieties will provide new theoretical insights into the toxicological mechanisms of Cd in non-heading Chinese cabbage, as well as practical guidance for assessing its food safety and ensuring safe production.

2. Materials and Methods

2.1. Experimental Materials and Cultivation System

2.1.1. Experimental Materials

This study uses 79 non-heading cabbage varieties, including breeding varieties from breeding institutions and commonly cultivated varieties in China, as experimental subjects (specific names and sources are listed in Appendix A). All experiments were conducted in the phenotypic experimental greenhouse of the Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences.

2.1.2. Cultivation System

Two hydroponic systems were used in the experiment:
(A)
Tidal Seedling System: Used for seed germination and early seedling cultivation. This system consists of plug trays and liquid tanks, utilizing an automatic recirculating irrigation model. Water is supplied for 5 min starting at 8:00 AM each day, submerging the bottom of the plug trays by about 1–2 cm. After 10 min of flooding, the liquid in the tank is drained to ensure sufficient aeration of the roots.
(B)
Nutrient Film Technique (NFT) System: Used for late-stage seedling cultivation and cadmium stress treatment. To precisely control the stress conditions and eliminate soil factors, this study adopted the NFT system. The system consists of four independent units, each containing: (1) 14 custom-made hydroponic pipes with a plant spacing of 20 cm; (2) a 400-L nutrient solution reservoir; (3) a circulating pump (flow rate of 200 L/min). The system uses a timed irrigation strategy: each irrigation cycle lasts 5 min, followed by a 15-min pause to allow root aeration, with the process running in a continuous cycle throughout the day.
(C)
Nutrient Solution Management: Modified Hoagland nutrient solution was used throughout the experiment, with the electrical conductivity (EC) maintained at 1.5 ± 0.1 mS/cm. The nutrient solution in the reservoirs of both the tidal system and NFT system was completely replaced every Monday to ensure continuous nutrient supply and stability.
The tidal seedbed system is chosen as the primary environment for early-stage seedling growth because it provides an optimal root growth environment, especially during seed germination and early seedling development. The tidal system, through periodic irrigation, helps deliver sufficient oxygen and nutrients, promoting healthy root growth while effectively preventing waterlogging and hypoxia. Moreover, the nutrient solution used in the tidal seedbed system is identical to that used in the later-stage NFT system, ensuring that the nutrient conditions remain consistent when plants transition between the two systems. This consistency minimizes potential variations caused by differences in the nutrient solution.

2.2. Experimental Methods

The 79 non-heading cabbage germplasms were seeded on 14 October 2024, and transplanted in November of the same year. The growing medium was peat ash, and seedlings were raised using plug trays. A total of 64 plants were grown for each germplasm, amounting to 5056 plants in total. After the seeds developed two cotyledons, they were placed in the tidal seedling bed for irrigation with Hoagland nutrient solution for two weeks.
For cadmium stress treatment, the seedlings were transplanted from the plug trays into the NFT cultivation channels on 5 November and cultured with Hoagland nutrient solution for 3 days. On 9 November, cadmium chloride was added to the nutrient solution for the stress treatment. The Cd concentration was set based on the “Standards for Irrigation Water Quality in Agricultural Fields” (GB5084-2021) [17] and reference literature [18], with the total Cd limit value (0.01 mg/L) as the standard. The concentration was then multiplied by a factor to create the following treatment groups: 0 mg/L (control group, CK), 25 mg/L (T1), 50 mg/L (T2), and 100 mg/L (T3).
The first round of screening (79 non-heading cabbage varieties) involved sampling at 24, 96, and 192 h for Cd content measurement, covering the initial, rapid, and steady stages of Cd accumulation. For subsequent mechanism studies, an additional 48-h time point was added to further examine the dynamic changes between 24–192 h. Biomass, phenotypic parameters, photosynthetic performance, and physiological and biochemical indicators were measured.

2.3. Measurement Items and Methods

2.3.1. Measurement of Cd Accumulation and Growth Response Parameters

Each plant part was killed by steaming at 80 °C for 30 min, then oven-dried at 110 °C to a constant weight. After drying, the samples were ground and sieved through a 0.15 mm screen. A precise 0.5 g sample of powder was digested overnight with a nitric acid-perchloric acid mixture (3:1, v/v). The sample was then subjected to a gradient temperature digestion process (100 °C → 140 °C → 180 °C) using a graphite digestion instrument. After digestion, the solution was diluted, and the Cd content was measured using an atomic absorption spectrometer (PinAAcle 900F, PerkinElmer, Waltham, MA, USA) [19]. Based on the measured results, the Cd translocation factor (TF), which is the ratio of Cd content in the aerial parts to the underground parts of the plant, was calculated using Formula (1). Additionally, the coefficient of variation (CV) of Cd content between varieties was calculated using Formula (2).
T F C d = C p C r ,
C V = S D M e a n × 100 % ,
In the formulas: Cp refers to the Cd content in the aerial parts of the non-heading Chinese cabbage, expressed in mg/kg. Cr refers to the Cd content in the underground parts of the non-heading Chinese cabbage, expressed in mg/kg. SD represents the standard deviation. Mean represents the mean (average) value.

2.3.2. Two-Dimensional and Three-Dimensional Phenotypic Parameters

A phenotypic image acquisition device independently developed by the Fujian Academy of Agricultural Sciences (Figure 1A) was used to rapidly and batch-process the acquisition of two-dimensional parameters such as leaf area, leaf color, and leaf shape for non-heading cabbage. The acquisition platform primarily consists of a camera (HT-GE1000C-T-CL, 10 megapixels, HuaTeng Vision Co., Ltd., Shenzhen, China), shading curtains, and a photo box. Additionally, to analyze the three-dimensional structure of non-heading cabbage, a custom-built multi-angle image acquisition platform (Figure 1B) was used to capture images from different angles of the plant. The platform consists of a rotating stage, motors, and two industrial cameras (HT-GE1000C-T-CL, 10 megapixels). The non-heading cabbage plant (live plant) was first placed at the shooting point, with the camera rotating accordingly. Each camera captured 40 images, which were then used for three-dimensional reconstruction of the plant using Multi-View Stereo (MVS) and Structure from Motion (SFM) techniques. Through point cloud computation, phenotypic parameters such as canopy projection area, plant height, and leaf number of the non-heading cabbage were obtained.

2.3.3. Photosynthetic and Fluorescence Parameters

The photosynthetic parameters of non-heading Chinese cabbage were measured using the LI-6400 portable photosynthesis measurement system (LI-COR Biosciences, Lincoln, NE, USA) [20] (Figure 2A), which included net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), and transpiration rate (Tr). Chlorophyll fluorescence parameters were measured using a chlorophyll fluorescence imaging system (FC800-D, Photon Systems Instruments (PSI), Brno, Czech Republic) [21] (Figure 2B). The plants to be measured (whole live plants) were first dark-adapted for 30 min. Then, in the Fluorcam10 system, the saturating pulse value was set to 5250 μmol/(m2·s), and the actinic light2 value was set to 422 μmol/(m2·s). The samples were then placed inside the instrument with the lens 30 cm from the sample, and fluorescence parameters such as maximum quantum efficiency (Fv/Fm), non-photochemical quenching coefficient (NPQ), and actual photochemical efficiency (ΦPSII) were determined.

2.3.4. Physiological and Biochemical Indicators

The chlorophyll content was extracted using a mixture of acetone and ethanol, and measured using a UV spectrophotometer (T2600, Shanghai Youke Instrument and Meter Co., Ltd., Shanghai, China) [22]. Superoxide dismutase (SOD) activity was determined using the nitroblue tetrazolium (NBT) photoreduction method [23]. Peroxidase (POD) activity was measured using the guaiacol method [24], while catalase (CAT) activity was determined using the sodium thiosulfate titration method [25]. Malondialdehyde (MDA) content was measured using the thiobarbituric acid (TBA) colorimetric method [26]. The 192-h stress time point was chosen as it represents the critical steady-state node where Cd toxicity and photosynthetic inhibition are fully manifested, although secondary stress has not yet escalated. Therefore, the 192-h time point was selected as the representative time for analyzing physiological and biochemical mechanisms.

2.4. Data Processing and Analysis

All experimental data were initially organized and calculated using Microsoft Excel 2021. Statistical analysis and graph plotting were performed using DPS 7.05, IBM SPSS Statistics 22, and Origin 2022 software. Chlorophyll fluorescence imaging parameters were processed using the analysis module provided by Fluorcam 7 software. The specific analytical methods are as shown below.

2.4.1. Descriptive Statistics

For all measured parameters (e.g., Cd content, transport coefficient), the minimum, maximum, mean, standard deviation, and coefficient of variation were calculated to describe the basic characteristics and variation degree of the data.

2.4.2. Analysis of Variance and Multiple Comparisons

Before conducting the analysis of variance, it is essential to first test whether the data meet the assumptions of normality and homogeneity of variance. Normality was assessed using the Shapiro–Wilk test, while homogeneity of variance was tested using Levene’s test.
To test the significant effects of different Cd treatment concentrations, different varieties (GX-61 vs. GX-05), and their interactions on each measured parameter, a two-way analysis of variance (ANOVA) was performed. When comparing multiple groups under a single factor (e.g., different Cd concentrations at the same time point), a one-way analysis of variance was used.
If the ANOVA results reached a significant level (p < 0.05), Duncan’s new multiple range test was used for post hoc multiple comparisons. Means labeled with different lowercase letters in the results indicate significant differences at the p < 0.05 level.

2.4.3. Repeated Measures Analysis of Variance

For parameters measured continuously at multiple time points (24 h, 48 h, 96 h, 192 h), a repeated measures ANOVA was conducted to examine the overall effect of “Cd treatment concentration” (between-subject factor), “stress duration” (within-subject factor), and their interaction on the dynamic changes in the parameters.

2.4.4. Cluster Analysis

Cluster analysis was performed based on the aboveground Cd content data of 79 germplasms at 192 h of stress. A hierarchical clustering method was used to categorize the samples, generating a cluster heatmap. The cluster heatmap is a method of displaying column hierarchical clustering on the basis of a heatmap, with the addition of a dendrogram, which facilitates viewing the clustering pattern of rows and columns [27].

2.4.5. Correlation and Trend Analysis

The correlation between indicators (e.g., the relationship between Ci changes and photosynthetic limitation types) and trends (e.g., the increase in MDA content with increasing stress concentration) were described based on visual analysis and statistical comparison results.

3. Results and Analysis

3.1. Comprehensive Evaluation of Cd Accumulation and Translocation Coefficient in 79 Non-Heading Chinese Cabbage Germplasm

This study systematically evaluated the Cd accumulation and translocation characteristics of 79 non-heading Chinese cabbage germplasms under different Cd stress conditions. As shown in Table 1, the Cd content in the underground parts (roots) of non-heading Chinese cabbage was significantly higher than that in the aerial parts, indicating that the roots are the main Cd accumulation organs. This is because the roots are directly in contact with the Cd solution in the hydroponic tanks and absorb Cd, resulting in relatively higher Cd content in the roots [28]. As the stress duration extended to 192 h, the average Cd content in the aerial parts continued to rise and reached a peak, and the coefficient of variation (CV) at this point was the lowest (24.42–40.72%), suggesting that the 192-h time point is the most appropriate for characterizing the differences in Cd accumulation among the germplasms.
The translocation factor (TF), which is the ratio of Cd content in the aerial parts to that in the underground parts, is a key indicator for evaluating the ability of Cd to migrate from the roots to the edible aerial parts. As shown in Table 2, the average TF values under all treatments were much less than 1 (range: 0.0131–0.0825), which clearly indicates that the majority of the absorbed Cd is retained in the roots, with minimal translocation to the aerial parts. Moreover, the TF values showed a significant upward trend as the stress duration increased (e.g., under T1 treatment, the TF increased from 0.0148 at 24 h to 0.0825 at 192 h), suggesting that prolonged stress duration enhances the translocation of Cd from the roots to the aerial parts. Consistent with the changes in Cd content in the aerial parts, the TF variation coefficient was also at a low level at 192 h, further supporting this time point as the ideal stage for germplasm screening.
Based on the aboveground Cd content of each variety under 192 h of stress, cluster heatmap analysis (Figure 3) divided the 79 germplasms into three categories: high Cd accumulation type (11 varieties), medium-Cd accumulation type (32 varieties), and low-Cd accumulation type (36 varieties). The range of aboveground Cd content under different Cd stress concentrations (T1: 25 mg/L, T2: 50 mg/L, T3: 100 mg/L) varied among the categories:
  • High-accumulation-type germplasms had a Cd content range of T1: 50–100 mg/kg, T2: 75–150 mg/kg, T3: 150–200 mg/kg.
  • Medium-accumulation-type germplasms had a Cd content range of T1: 25–75 mg/kg, T2: 50–100 mg/kg, T3: 100–150 mg/kg.
  • Low-accumulation-type germplasms had a Cd content range of T1: 0–50 mg/kg, T2: 0–75 mg/kg, T3: 0–100 mg/kg.
Low-accumulation-type germplasms, due to their lowest efficiency in transferring Cd to edible parts, hold direct application value in safe production. In contrast, high accumulation type germplasms provide candidate materials for phytoremediation research.
To further analyze the physiological mechanisms, this study follows the strategy of “from population screening to extreme phenotype comparison.” Based on the three categories identified in the cluster results, the most representative extreme materials were selected: GX-61, with the lowest aboveground Cd content from the low accumulation type, and GX-05, with the highest aboveground Cd content from the high accumulation type. This comparison of extreme phenotypes, selected based on objective clustering, maximizes phenotypic differences and is beneficial for clearly elucidating the core physiological response differences related to Cd accumulation and tolerance. The subsequent analysis will focus on an in-depth comparison between GX-61 and GX-05.

3.2. The Effect of Cd Stress on Phenotypic Parameters

Plant phenotype is the expression of the plant under the combined influence of genetics and the environment, reflecting physical, physiological, and biochemical characteristics and traits during plant growth and development [29]. Cd enters the plant roots through the cell wall and cortex cells, and is absorbed and transported to the aerial parts via the apoplast and symplast, affecting leaf development [30,31]. As shown in Table 3, under the CK concentration, both GX-61 and GX-05 non-heading Chinese cabbage varieties showed a gradual increase in total leaf area over time. Under Cd stress at the T3 concentration, after 192 h, the leaf area of both non-heading Chinese cabbage varieties significantly decreased compared to the CK group. Specifically, the leaf area of GX-61 and GX-05 non-heading Chinese cabbage decreased by 65.61% and 45.54%, respectively. At this time, the leaf area of GX-05 was significantly larger than that of the typical low accumulation germplasm GX-61.
According to the data in Table 4, the canopy area of non-heading cabbage varieties GX-61 and GX-05 exhibited different response patterns under Cd stress. For GX-61, as the Cd concentration increased, the canopy area gradually decreased. At the T1 concentration, the canopy area of GX-61 was significantly lower than the control group (CK) at all time points, with reductions of 36.2%, 26.7%, 44.5%, and 36.8% at 24 h, 48 h, 96 h, and 192 h, respectively, indicating a strong sensitivity to low concentration Cd stress. At the T2 concentration, the reduction in canopy area was smaller but still significant, especially at 96 h and 192 h, where the canopy area decreased by 19.9% and 14.1%, respectively, suggesting that the impact of Cd stress on growth increased with concentration. At the T3 concentration, GX-61 showed a smaller decrease in canopy area at 24 h and 48 h, but at 96 h and 192 h, the canopy area decreased significantly, with reductions of 29.9% and 32.7%, respectively. This indicates that high-concentration Cd stress had a more significant impact on this variety, and the stress effect gradually intensified over time.
In contrast, GX-05 exhibited a different trend in canopy area changes. At the T1 concentration, the canopy area of GX-05 increased slightly at 24 h and 48 h, suggesting that this variety may have some adaptability to low Cd concentrations. However, as the stress duration increased, especially at 96 h and 192 h, the canopy area gradually decreased, with a 17.5% reduction at 192 h. At the T2 concentration, GX-05 showed a more stable response, with small changes in canopy area, particularly at 96 h, where it only decreased by 4.5%, indicating a certain level of adaptability to medium Cd concentrations. At the T3 concentration, GX-05 experienced a smaller decrease in canopy area at the early time points (24 h and 48 h), but at 192 h, the canopy area decreased most significantly, with a 51.1% reduction, indicating that high-concentration Cd stress severely impacted its growth.
In summary, GX-61 and GX-05 exhibited significant differences in their responses to Cd stress. GX-61 showed a gradual decline in canopy area under high Cd concentrations, while GX-05 demonstrated some adaptability at lower concentrations, but its adaptability clearly weakened under prolonged high Cd stress.
As shown in Figure 4, with the increase in Cd stress concentration and duration, the growth of non-heading cabbage was inhibited. The leaves showed signs of chlorosis and yellowing, and the canopy area decreased, while the leaves of the CK group remained green, thick, and glossy. As the stress concentration and duration increased, the plants exhibited a typical “low concentration promotion, high concentration inhibition” (low-promotion, high-inhibition) phenomenon.

3.3. The Effect of Cd Stress on the Photosynthetic Characteristics

The Effect of Cd Stress on Photosynthetic Pigment Content

Chlorophyll content is a key indicator of plant photosynthetic capacity and the extent of stress under adverse conditions. As shown in Table 5, under normal growth conditions, both varieties exhibited an inherent rhythm of increasing and then decreasing chlorophyll content. However, cadmium stress significantly disrupted and reshaped this pattern: under low concentration (T1) stress, the low accumulation variety GX-61 initially (24 h) showed a significant stimulatory effect, with its chlorophyll content even surpassing that of the control at the same time point. However, over time, this shifted to sustained inhibition. Under high concentration (T3) stress, both varieties showed a significant and monotonic decrease in chlorophyll content with increasing stress duration. Notably, by the end of high stress (192 h), the chlorophyll a content in the high accumulation variety GX-05 dropped to the lowest level among all treatments, indicating that its photosynthetic pigment system might be more sensitive to cadmium stress. This is consistent with its physiological trait of transferring more cadmium to the aboveground parts, suggesting that high accumulation characteristics may be associated with a more vulnerable photosynthetic apparatus.
The changes in chlorophyll b followed a pattern similar to that of chlorophyll a. As shown in Table 6, under no stress conditions, the two varieties exhibited different accumulation dynamics: GX-61 continued to accumulate chlorophyll b until 192 h, while GX-05 reached a peak at 96 h before decreasing, reflecting inherent physiological differences between the varieties. Cadmium stress significantly reshaped this pattern: under T3 stress, the chlorophyll b content in both varieties showed a significant and monotonic decrease with increasing stress duration, reaching the lowest levels at 192 h (e.g., GX-05 decreased from 0.251 to 0.115). Notably, similar to chlorophyll a, under T1 stress, the low accumulation variety GX-61 exhibited significantly higher chlorophyll b content (0.335) at 24 h compared to its own control (0.233), further supporting the observation that low concentration cadmium may produce an early stimulatory effect.
By comparing the numerical trends between different treatment groups, it can be seen that, at most corresponding stress time points, the chlorophyll b content of the high accumulation variety GX-05 tended to be lower than that of GX-61, especially in the later stages of stress (e.g., T3-192 h, GX-05: 0.115, GX-61: 0.140). This aligns with the pattern observed in chlorophyll a and collectively suggests that its photosynthetic pigment system may exhibit higher sensitivity to cadmium stress.
The mechanism of chlorophyll degradation caused by Cd stress may involve multiple pathways. On one hand, Cd may interfere with iron (Fe) metabolism, inhibiting the activity of key enzymes (e.g., Fe3+ reductase), leading to a deficiency of bioavailable iron (Fe2+) in the plant and thus hindering chlorophyll synthesis [32]. On the other hand, the burst of reactive oxygen species (ROS) induced by Cd stress may lead to the excessive accumulation of superoxide anions and hydrogen peroxide in chloroplasts, which then directly attack and degrade chlorophyll molecules [33]. The increase in membrane lipid peroxidation products (MDA) observed in this study provides evidence for ROS accumulation, supporting the possibility of the latter mechanism.

3.4. The Effect of Cd Stress on Chlorophyll Fluorescence Parameters

Chlorophyll fluorescence parameters are sensitive indicators of the functional state of the photosynthetic system [34]. This study focused on analyzing the response of maximum quantum efficiency (Fv/Fm), steady-state non-photochemical quenching (NPQ), and actual photochemical efficiency (ΦPSII) to Cd stress.

3.4.1. Damage to the Potential Activity of Photosystem II (PSII)

Fv/Fm represents the maximum light energy conversion efficiency of the PSII reaction center, which remains stable under non-stress conditions. Under stress, this parameter tends to decrease [35]. As shown in Figure 5A, taking the T2 concentration as an example, the Fv/Fm of GX-61 was significantly lower than that of the CK group starting from 24 h of stress, and it continued to decline with prolonged stress duration. By 192 h, it had decreased to 0.68, indicating severe light inhibition of its PSII. Throughout the stress period, the Fv/Fm value of GX-05 was significantly higher than that of GX-61 in most cases (Figure 5B), indicating that the core of PSII in GX-61 is more sensitive to Cd stress.

3.4.2. Activation and Collapse of Photoprotective Mechanisms

Steady-state non-photochemical quenching (NPQ) is an indicator of how plants dissipate excess light energy in the form of heat to protect the photosynthetic apparatus [36]. As shown in Figure 5C,D, during the later stages of stress (48–192 h), NPQ in both varieties showed a trend of initial activation followed by inhibition as Cd concentration increased. For GX-61, the NPQ peaked at the T1 concentration (Figure 5C), while for GX-05, the NPQ peak occurred at either the T1 or T2 concentration depending on the stress duration (Figure 5D). Notably, under the same stress conditions, the NPQ values of GX-05 were generally higher than those of GX-61. This suggests that in response to Cd stress, GX-05 may have activated a more efficient heat dissipation mechanism as a protective strategy. However, under the highest concentration (T3), NPQ in both varieties declined, indicating that extreme stress had led to the collapse of their photoprotective capacity, and the PSII reaction centers were at risk of irreversible damage.

3.4.3. Inhibition of Actual Photosynthetic Efficiency

ΦPSII reflects the linear electron transport efficiency of PSII under actual light conditions [37]. As shown in Figure 5E,F, both varieties showed significant suppression of ΦPSII with increasing Cd stress concentrations. Although there were occasional fluctuations at low concentrations, the overall trend, particularly at 96 h and 192 h, was a decrease in ΦPSII as the concentration increased. Under higher concentrations, such as T2, the decrease in ΦPSII for GX-61 (41.67% and 29.27% lower than the CK group) was greater than for GX-05 (22.58% and 33.33% lower than the CK group). Overall, under the same Cd stress concentration, the ΦPSII value for GX-61 was consistently lower than for GX-05, further confirming that its photosynthetic apparatus was more severely damaged at the operational level [38].

3.4.4. Chlorophyll Fluorescence Imaging Reveals the Spatial Patterns of Photosynthetic Damage and Protection

The trends in the above fluorescence parameters are visually confirmed through chlorophyll fluorescence imaging (Figure 6). For Fv/Fm, its decrease begins at the central region of the leaf canopy (T1 concentration), and as the stress concentration increases, the low-value areas gradually extend towards the periphery. At the T3 concentration, Fv/Fm is significantly reduced across the entire leaf. The NPQ imaging clearly demonstrates the spatial dynamics of the photoprotective mechanism: at T1 and T2 concentrations, GX-05 leaves show stronger and more widespread NPQ signals (indicating more intense heat dissipation) compared to GX-61, especially around the leaf veins and illuminated areas. However, at T3 concentration, NPQ signals in both varieties’ leaves are generally weakened, confirming the collapse of photoprotection under extreme stress. Additionally, the decrease in ΦPSII follows a similar trend to Fv/Fm, with its suppression also starting from the canopy center and spreading outward. This further illustrates the progressive process of Cd stress damage from the perspective of the actual photosynthetic efficiency. In summary, fluorescence imaging not only provides visual evidence for the quantitative results but also reveals that, compared to GX-61, GX-05 can activate a more effective heat dissipation mechanism during the mid-stress period, which may be key to maintaining higher photosynthetic performance.

3.5. The Effect of Cd Stress on Gas Exchange Parameters

Gas exchange parameters directly reflect the overall performance of leaf photosynthesis and its limiting steps [39]. This study systematically assessed the impact of Cd stress on the photosynthetic carbon assimilation of non-heading Chinese cabbage by analyzing net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), and transpiration rate (Tr) [40].

3.5.1. Inhibition of Net Photosynthetic Rate and Its Varietal Differences

Net photosynthetic rate (Pn) is a comprehensive indicator of the strength of photosynthesis [41]. As shown in Figure 7A,B, during the early stage of stress (24 h), low concentrations of Cd (T1) had minimal effect on Pn in both varieties, even showing a slight promotive effect. However, as the stress concentration increased and the duration extended, Pn was significantly inhibited. Under the highest concentration (T3), the Pn of both varieties decreased to the lowest values at each time point. Specifically, the Pn values of GX-61 and GX-05 at 192 h of stress decreased by 68.79% and 72.42%, respectively, compared to the CK group. Overall, under the same Cd stress conditions, the Pn values of GX-61 were consistently lower than those of GX-05, indicating that its photosynthetic carbon assimilation process was more severely disrupted.

3.5.2. Photosynthetic Limiting Factors: Transition from Stomatal Limitation to Non-Stomatal Limitation

The decline in Pn may be caused by either stomatal limitation (reduced Gs leading to insufficient CO2 supply) or non-stomatal limitation (damage to the photosynthetic apparatus in mesophyll cells, reducing CO2 utilization capacity), and the intercellular CO2 concentration (Ci) is a key indicator to distinguish between the two [42].
Stomatal Limitation Dominates: During the early and mid-stages of high concentration (T3) stress (e.g., 24–48 h), both varieties exhibited a coordinated decrease in Pn, Gs, and Tr, while Ci also significantly decreased (Figure 7A–H). This suggests that the primary cause of the decline in Pn at this stage is insufficient CO2 supply due to stomatal closure [43].
Non-Stomatal Limitation Dominates: During long-term stress (96–192 h) and at medium to low concentrations (T1, T2), although Pn, Gs, and Tr also decreased, Ci values remained unchanged or significantly increased (Figure 7E,F). This typical increase in Ci clearly indicates that the inhibition of photosynthesis at this stage is mainly due to non-stomatal limitations [44]. The decline in PSII photochemical efficiency (such as reductions in Fv/Fm and ΦPSII) and the decrease in chlorophyll content (Section 2.4.1) together lead to the exhaustion of the mesophyll cells’ photosynthetic capacity, making it impossible to effectively utilize the intercellular CO2.

3.6. The Effect of Cd Stress on Physiological and Biochemical Indicators

To investigate the oxidative stress and cellular damage induced by Cd stress, this study measured the activity of antioxidant enzymes and membrane lipid peroxidation levels in the typical germplasms GX-61 and GX-05 after 192 h of stress.

3.6.1. Superoxide Dismutase (SOD) Activity Response

As shown in Figure 8, the SOD activity of both varieties exhibited different patterns of change with increasing Cd stress concentration. The SOD activity of GX-61 significantly decreased at T1 and T2 concentrations compared to the CK group (p < 0.05), with reductions of 17.74% and 8.30%, respectively. At the T3 concentration, no significant difference in SOD activity was observed between GX-61 and the CK group (p > 0.05). For GX-05, the SOD activity was only significantly lower than the CK group at T1 concentration (a decrease of 11.63%), while at T2 and T3 concentrations, no significant difference was observed compared to the CK group.
Under low to medium Cd concentrations, SOD activity was inhibited, which may be related to Cd directly acting on the enzyme protein or interfering with the metabolism of its metal cofactors (e.g., Cu/Zn) [45]. However, under high concentration stress, the burst of reactive oxygen species (ROS) likely triggered a compensatory response from the antioxidant system, leading to a recovery of SOD activity [46].

3.6.2. Response of Peroxidase (POD) and Catalase (CAT) Activity

Peroxidase (POD) is one of the key enzymes involved in scavenging hydrogen peroxide (H2O2) in plants [47]. The results of this study show significant differences in the response patterns of POD activity to Cd stress between GX-61 and GX-05 after 192 h of Cd exposure (Figure 9). The POD activity in GX-61 showed an initial increase followed by a decrease as Cd concentration increased. It was significantly induced at the T2 concentration, where it increased by 25.80% compared to the CK group. In contrast, GX-05 showed a strong dose-dependent induction effect, with POD activity continuing to increase as Cd concentration increased, with significant increases of 94.50% and 96.56% at T2 and T3 concentrations, respectively.
Catalase (CAT) is a key enzyme that directly catalyzes the decomposition of H2O2 [48]. As shown in Figure 10, the response of CAT activity to Cd stress was markedly different between the two varieties. The CAT activity in GX-61 was significantly activated at T1 and T2 concentrations, with increases of 88.06% and 44.52%, respectively, compared to the CK group. In sharp contrast, the CAT activity in GX-05 was significantly suppressed at all Cd stress concentrations, with reductions ranging from 43.10% to 53.90%. These results indicate that GX-61 and GX-05 employ different strategies in their antioxidant pathways for scavenging H2O2. In GX-61, the activities of POD and CAT showed a synergistic enhancement at specific stress concentrations (T2), which may represent a relatively balanced mechanism for H2O2 scavenging. For GX-05, the direct toxic effects of Cd may be one of the reasons for the continuous decrease in CAT activity, or the gene expression involved in CAT may be downregulated at the transcriptional level [49]. To compensate for the loss of CAT function, GX-05 may have activated an alternative scavenging pathway, with POD as the main enzyme, leading to an excessive induction of POD activity to maintain cellular redox homeostasis.

3.6.3. Membrane Lipid Peroxidation Level

The degree of membrane lipid peroxidation was assessed by measuring the malondialdehyde (MDA) content [50]. As shown in Figure 11, the MDA content in both varieties gradually increased with increasing Cd stress concentration. The MDA accumulation in GX-05 was significantly higher than in GX-61 at all stress levels. At the T3 concentration, the MDA content in GX-05 increased by 128.77% compared to the CK group, which was approximately 2.6 times higher than GX-61 (which increased by 49.29%). The significant increase in MDA content is direct evidence of oxidative stress induced by Cd stress. The more severe membrane lipid peroxidation in GX-05 is strongly correlated with its imbalanced antioxidant enzyme system (with CAT being inhibited and SOD not significantly induced), suggesting that active oxygen species such as H2O2 in its cells may not have been effectively scavenged, leading to more intense attacks on the membrane system [51].

4. Discussion

With the rapid development of global industrialization and urbanization, heavy metal pollution has become increasingly severe. Cadmium (Cd), due to its high toxicity, environmental persistence, and high mobility in the natural environment, has been classified as a human carcinogen by the United Nations Environment Programme (UNEP). Excessive accumulation of Cd in plants can significantly inhibit root and overall plant growth [52], damage the structure and function of cell membranes [53], and suppress photosynthesis and respiration [54]. Additionally, Cd stress can lead to chloroplast swelling and deformation [55], reduce the activity of various enzymes, and induce oxidative stress. These physiological and metabolic disruptions ultimately result in abnormal plant growth and development, and even death. Several studies have further shown that Cd stress on plant root and stem elongation leads to a series of phenotypic changes, including dwarfism, slowed growth rate, leaf curling and deformation, yellowing, and a significant decrease in biomass [56].
As an important leafy vegetable crop, the Cd accumulation characteristics and response mechanisms of non-heading Chinese cabbage germplasms need to be systematically studied. This study hypothesizes that significant differences exist in the Cd accumulation and tolerance mechanisms among different varieties, and that the response strategies of different accumulator varieties are distinct. Through a systematic evaluation of 79 germplasm resources, the study revealed extensive genetic diversity in the Cd accumulation capacity of the non-heading cabbage population. Additionally, the typical germplasm GX-61 and GX-05 demonstrated drastically different physiological response strategies, providing new insights into understanding their Cd tolerance and accumulation mechanisms.
From the phenotypes of GX-61 and GX-05, a typical “low-promotion, high-inhibition” phenomenon can be observed. This may be due to low concentration Cd acting as a mild stressor, triggering the plant’s protective response mechanisms. However, when Cd concentration is too high, its toxic effects dominate, potentially disrupting nutrient absorption, inducing oxidative stress (supported by subsequent physiological indicators), and damaging the photosynthetic system, among other pathways. Ultimately, this leads to poor plant growth and a significant reduction in phenotypic parameters [57,58].
GX-61, which accumulates relatively low Cd in the aerial parts, exhibited higher sensitivity to Cd stress. Its leaf area and canopy growth were more significantly inhibited, and its photosynthetic system was severely damaged, as evidenced by a greater reduction in maximum quantum efficiency and actual photochemical efficiency. The “low accumulation” trait of GX-61 may not be due to active detoxification or exclusion mechanisms but rather because its overall physiological metabolism is more sensitive to Cd toxicity. This leads to more severe growth suppression, indirectly limiting further Cd uptake and translocation [59]. This finding provides important reference information for breeding and applying low-accumulation varieties: the stability of agronomic traits under polluted environments must also be considered.
In contrast, the high-accumulation germplasm GX-05, despite accumulating more Cd in the aerial parts, showed stronger physiological homeostasis. This tolerance is likely closely related to its more efficient photoprotective and antioxidant mechanisms. The data indicate that GX-05 effectively dissipates excess light energy by maintaining a higher non-photochemical quenching (NPQ) coefficient, protecting its photosynthetic apparatus. More importantly, its peroxidase (POD) activity was excessively induced, while catalase (CAT) activity was continuously suppressed. This response strongly suggests that GX-05 may have activated an alternative scavenging pathway, led by POD, to compensate for the loss of CAT function, thus effectively managing oxidative stress while maintaining a relatively stable physiological state.
Further analysis of gas exchange parameters clearly shows the dynamic transition of photosynthetic inhibition mechanisms as stress progresses. Initially, the decline in net photosynthetic rate (Pn) was mainly related to insufficient CO2 supply due to stomatal closure. As the stress duration increased, the exhaustion of mesophyll cell photosynthetic capacity became the dominant factor, reflected in the accumulation of intercellular CO2 and the decline in PSII efficiency. GX-61 entered this latter phase earlier and more profoundly.
Although this study confirmed that different varieties exhibit distinct physiological response mechanisms to Cd stress. However, there are still some limitations in the research that warrant further exploration in future studies. First, this study only selected 24, 48, 96, and 192 h as time points, which may not fully capture the long-term dynamic changes in plant growth under Cd stress. Future research could consider incorporating additional time points to more comprehensively understand the effects of Cd stress on different stages of plant growth. Second, although we revealed the differences between the two typical germplasms through phenotypic analysis, their molecular mechanisms still need further investigation. High-throughput techniques such as genomics, transcriptomics, and proteomics can be used to gain deeper insights into the molecular mechanisms of these two varieties in response to Cd stress, particularly the key genes and regulatory networks related to Cd accumulation and tolerance. Lastly, this study only conducted Cd stress experiments under greenhouse conditions, and future research should validate the ecological adaptability of the results in field environments and assess the performance of different varieties under natural conditions. Additionally, given the potential of non-heading cabbage in ecological remediation and safe production, future studies could explore its remediation effectiveness and application prospects under different pollution conditions.
In summary, this study provides important insights into the physiological mechanisms of non-heading cabbage in response to Cd stress and offers a theoretical basis for selecting resistant varieties in Cd-polluted environments in the future. Future research will continue to explore the molecular basis of differences in Cd accumulation and tolerance and examine their practical application potential to promote the ecological remediation and sustainable agricultural development of non-heading cabbage.

5. Conclusions

This study provides important insights into the physiological mechanisms by which non-heading cabbage responds to Cd stress, particularly the differences between low-accumulating and high-accumulating cultivars. By analyzing 79 germplasms, high-, medium-, and low-Cd accumulation types were identified. All germplasms exhibited the common characteristic of primarily retaining Cd in the roots. To reveal the underlying mechanisms in depth, two extreme phenotypes, low accumulation (GX-61) and high accumulation (GX-05), were selected for subsequent comprehensive analysis. The typical low-accumulation germplasm GX-61 exhibited a “high sensitivity–low accumulation” phenotype, showing a more intense response to Cd stress with significant growth inhibition and damage to the photosynthetic system. In contrast, the typical high-accumulation germplasm GX-05 demonstrated a “tolerant–high accumulation” phenotype, maintaining physiological homeostasis by enhancing photoprotective capacity and initiating alternative antioxidant pathways, allowing it to accumulate high concentrations of Cd while maintaining relatively stable physiological status. The study indicates that the Cd accumulation phenotype is closely related to physiological processes such as Cd absorption, transport, light energy utilization, and antioxidant responses in non-heading cabbage, with antioxidant strategies being key to the variation in resistance between varieties. The selected typical germplasms and their physiological mechanisms provide valuable genetic material and theoretical basis for the safe production and phytoremediation of non-heading cabbage.

Author Contributions

Conceptualization, methodology, investigation, formal analysis, data curation, validation, writing—original draft, and writing—review and editing P.C.; conceptualization, methodology, investigation, formal analysis, validation, writing—original draft, and validation, S.W. (Songliang Wang); methodology, writing—original draft, visualization, investigation, validation, and writing—review and editing, H.X.; methodology, investigation, writing—review and editing, and validation, Y.C.; conceptualization, resources, supervision, and writing—review and editing, S.W. (Shuijin Wu) and A.W. All authors have read and agreed to the published version of the manuscript.

Funding

The study was supported by Fujian Provincial Department of Science and Technology (Grant number: KJY24009XA).

Data Availability Statement

The original contributions presented in the study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

Appendix A

Table A1. 79 Non-heading Chinese Cabbage Germplasm Resources.
Table A1. 79 Non-heading Chinese Cabbage Germplasm Resources.
CodeNameSourceCodeNameSource
GX-01Dongjin No. 1Beijing Jingyan Shengfeng Seedling Research InstituteGX-41Jinpin 543Fujian Jinpin Agricultural Technology Co., Ltd.
GX-02Delicious Fast-growingBeijing Junchuan Seed Industry Technology Co., Ltd.GX-42Jinpin 586Fujian Jinpin Agricultural Technology Co., Ltd.
GX-03Chunyou No. 5Jingyan Yino (Beijing) Seed Industry Technology Co., Ltd.GX-43Jinpin 575Fujian Jinpin Agricultural Technology Co., Ltd.
GX-04Chunyou No. 4Jingyan Yino (Beijing) Seed Industry Technology Co., Ltd.GX-44Jinpin 597Fujian Jinpin Agricultural Technology Co., Ltd.
GX-05Authentic Shanxi WhiteWuhan Xingyuan Seedling BusinessGX-45Jinpin 581Fujian Jinpin Agricultural Technology Co., Ltd.
GX-06Suguan 221Nanjing Green Collar Seed Industry Co., Ltd.GX-46Jinpin Crown No. 2Fujian Jinpin Agricultural Technology Co., Ltd.
GX-07Four Seasons GreenShijiazhuang Nongboshi Development Co., Ltd.GX-47Jinpin 1670Fujian Jinpin Agricultural Technology Co., Ltd.
GX-08DongqingBeijing city Changping District Baishan Baishan Town Village farmers market.GX-48Jinpin 541Fujian Jinpin Agricultural Technology Co., Ltd.
GX-09Dongjin No. 2Beijing Jingyan Shengfeng Seedling Research InstituteGX-49Jinpin LvsongFujian Jinpin Agricultural Technology Co., Ltd.
GX-10Hotel Sharp-leaf 60-day Sweet Oil Vegetable HeartShicheng Seed Co., Ltd.GX-50Jinpin XinxiaFujian Jinpin Agricultural Technology Co., Ltd.
GX-11HuayingGuangdong Province China Seed Introduction Service CompanyGX-51Jinpin 143Fujian Jinpin Agricultural Technology Co., Ltd.
GX-12Sweet and Crispy Oilseed CabbageFuzhou Minhuang Seed Industry Co., Ltd.GX-52Jinpin Su27Fujian Jinpin Agricultural Technology Co., Ltd.
GX-13Jinpin No. 4Fujian Jinpin Agricultural Technology Co., Ltd.GX-53Four Seasons Fast-growing VegetableHefei Hefeng Seed Industry Co., Ltd.
GX-14Jinpin 1 SummerFujian Jinpin Agricultural Technology Co., Ltd.GX-54Cream Fast-growing VegetableQingxian Xingyun Seed Industry Co., Ltd.
GX-15Jinpin 592Fujian Jinpin Agricultural Technology Co., Ltd.GX-55Beijing Four Seasons Non-heading Chinese CabbageShouguang Xinxinran Horticulture Co., Ltd.
GX-16Jinpin 902Fujian Jinpin Agricultural Technology Co., Ltd.GX-56Four Seasons Fast-growing CabbageQingxian Qingfeng Seed Industry Co., Ltd.
GX-17Jinpin 558Fujian Jinpin Agricultural Technology Co., Ltd.GX-57Korean 58 Fast-growing CabbageHebei Dayu Seed Industry Co., Ltd.
GX-18Jinpin Winter-SpringFujian Jinpin Agricultural Technology Co., Ltd.GX-58Purple Angel Fast-growing CabbageHebei Man Agricultural Technology Co., Ltd.
GX-19Jinpin QingsongFujian Jinpin Agricultural Technology Co., Ltd.GX-59Fresh and Delicious Fast-growing CabbageFuzhou Nongbo Wang Seedling Co., Ltd.
GX-20Jinpin Cold SpringFujian Jinpin Agricultural Technology Co., Ltd.GX-60Purple Gold Fast-growing CabbageBeijing Shuoyuan Seed Co., Ltd.
GX-21Jinpin 1675Fujian Jinpin Agricultural Technology Co., Ltd.GX-61Jinshuang 30 Fast-growing Cabbage F1Tianjin Hongcheng Celery Research Institute
GX-22Jinpin 101Fujian Jinpin Agricultural Technology Co., Ltd.GX-62Jingyan Purple Fast-growing CabbageJingyan Yino (Beijing) Seed Industry Technology Co., Ltd.
GX-23Jinpin 506Fujian Jinpin Agricultural Technology Co., Ltd.GX-63Shanghai Qing 605Hebei Dayu Seed Industry Co., Ltd.
GX-24Jinpin 128Fujian Jinpin Agricultural Technology Co., Ltd.GX-64Four Seasons JicaiShouguang Xinxinran Horticulture Co., Ltd.
GX-25Jinpin Su30Fujian Jinpin Agricultural Technology Co., Ltd.GX-65Heat-resistant Shanghai QingHebei Dayu Seed Industry Co., Ltd.
GX-26Jinpin 555Fujian Jinpin Agricultural Technology Co., Ltd.GX-66June SlowHebei Green Agriculture Seed Sales Co., Ltd.
GX-27Jinpin 598Fujian Jinpin Agricultural Technology Co., Ltd.GX-67April SlowHebei Green Agriculture Seed Sales Co., Ltd.
GX-28Jinpin 112Fujian Jinpin Agricultural Technology Co., Ltd.GX-68Shanghai QingQingxian Xingyun Seed Industry Co., Ltd.
GX-29Jinpin 582Fujian Jinpin Agricultural Technology Co., Ltd.GX-69Four Seasons Fast-growing Non-heading Chinese CabbageQingxian Xingyun Vegetable Seed Breeding Center
GX-30Jinpin 109Fujian Jinpin Agricultural Technology Co., Ltd.GX-70Four Seasons Non-heading Chinese CabbageQingxian Xingyun Seed Industry Co., Ltd.
GX-31Jinpin 814Fujian Jinpin Agricultural Technology Co., Ltd.GX-71Cream Fast-growing CabbageQingxian Xingyun Seed Industry Co., Ltd.
GX-32Jinpin 911Fujian Jinpin Agricultural Technology Co., Ltd.GX-72Cream Non-heading Chinese CabbageHebei Green Agriculture Seed Sales Co., Ltd.
GX-33Jinpin 16549Fujian Jinpin Agricultural Technology Co., Ltd.GX-73Glossy Suzhou QingHubei Vegetable Basket Seed Industry Co., Ltd.
GX-34Jinpin 501Fujian Jinpin Agricultural Technology Co., Ltd.GX-74Green-leafed Suzhou QingNanjing Green Collar Seed Industry Co., Ltd.
GX-35Jinpin 537Fujian Jinpin Agricultural Technology Co., Ltd.GX-75Meiling Qinggeng CabbageNanping Jianyang Xiao Fu Seed Co., Ltd.
GX-36Jinpin 591Fujian Jinpin Agricultural Technology Co., Ltd.GX-76Medium-legged Black-leafed CabbageGuangxi Hengxian Zilong Seed Industry Co., Ltd.
GX-37Jinpin Qingsong No. 2Fujian Jinpin Agricultural Technology Co., Ltd.GX-77Black-headed Suzhou QingHubei Minhui Garden
GX-38Jinpin 008Fujian Jinpin Agricultural Technology Co., Ltd.GX-78Han Guan Qinggeng CabbageBeijing Agricultural and Forestry Academy Vegetable Research Institute
GX-39Jinpin 901Fujian Jinpin Agricultural Technology Co., Ltd.GX-79Hua Guan Qinggeng CabbageGuangdong Province China Seed Introduction Service Company
GX-40Qingtai No. 1Fujian Jinpin Agricultural Technology Co., Ltd.

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Figure 1. Schematic of the multi-dimensional phenotypic image acquisition platform for non-heading cabbage. (A) represents the two-dimensional photo box; (B) represents the multi-angle three-dimensional image acquisition platform.
Figure 1. Schematic of the multi-dimensional phenotypic image acquisition platform for non-heading cabbage. (A) represents the two-dimensional photo box; (B) represents the multi-angle three-dimensional image acquisition platform.
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Figure 2. Schematic of the comprehensive photosynthetic physiology measurement platform for non-heading cabbage. (A) represents the photosynthesis measurement system; (B) represents the chlorophyll fluorescence imaging system.
Figure 2. Schematic of the comprehensive photosynthetic physiology measurement platform for non-heading cabbage. (A) represents the photosynthesis measurement system; (B) represents the chlorophyll fluorescence imaging system.
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Figure 3. Cluster Heatmap of Cd Content in 79 Non-heading Chinese Cabbage Varieties. Blue indicates higher Cd content in the aerial parts of non-heading Chinese cabbage, while red indicates lower Cd content in the aerial parts. T1, T2, and T3 represent Cd stress concentrations of 25 mg/L, 50 mg/L, and 100 mg/L, respectively.
Figure 3. Cluster Heatmap of Cd Content in 79 Non-heading Chinese Cabbage Varieties. Blue indicates higher Cd content in the aerial parts of non-heading Chinese cabbage, while red indicates lower Cd content in the aerial parts. T1, T2, and T3 represent Cd stress concentrations of 25 mg/L, 50 mg/L, and 100 mg/L, respectively.
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Figure 4. Effect of Cd Stress on the Canopy Area of Non-heading Chinese Cabbage.
Figure 4. Effect of Cd Stress on the Canopy Area of Non-heading Chinese Cabbage.
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Figure 5. The effect of Cd stress on the chlorophyll fluorescence parameters of non-heading cabbage. (A,B) show the impact of Cd stress on the maximum quantum efficiency of PSII (Fv/Fm) in non-heading cabbage. (C,D) show the effect of Cd stress on the steady-state non-photochemical quenching coefficient (NPQ) in non-heading cabbage. (E,F) show the effect of Cd stress on the actual quantum efficiency of photosystem II and the photochemical quenching coefficient (ΦPSII) in non-heading cabbage. Different lowercase letters in the figure indicate significant differences between treatments at the same sampling time (p < 0.05).
Figure 5. The effect of Cd stress on the chlorophyll fluorescence parameters of non-heading cabbage. (A,B) show the impact of Cd stress on the maximum quantum efficiency of PSII (Fv/Fm) in non-heading cabbage. (C,D) show the effect of Cd stress on the steady-state non-photochemical quenching coefficient (NPQ) in non-heading cabbage. (E,F) show the effect of Cd stress on the actual quantum efficiency of photosystem II and the photochemical quenching coefficient (ΦPSII) in non-heading cabbage. Different lowercase letters in the figure indicate significant differences between treatments at the same sampling time (p < 0.05).
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Figure 6. Chlorophyll Fluorescence Images of Non-heading Chinese Cabbage Under Cd Stress. In the fluorescence images, red represents the maximum value of fluorescence parameters, while blue represents the minimum value. The range of Fv/Fm is 0.6–0.9; NPQ ranges from 0.2 to 1.0; ΦPSII ranges from 0 to 0.5.
Figure 6. Chlorophyll Fluorescence Images of Non-heading Chinese Cabbage Under Cd Stress. In the fluorescence images, red represents the maximum value of fluorescence parameters, while blue represents the minimum value. The range of Fv/Fm is 0.6–0.9; NPQ ranges from 0.2 to 1.0; ΦPSII ranges from 0 to 0.5.
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Figure 7. The effect of Cd stress on the gas exchange parameters of non-heading cabbage. (A,B) show the impact of Cd stress on the net photosynthetic rate (Pn) in non-heading cabbage. (C,D) show the effect of Cd stress on stomatal conductance (Gs) in non-heading cabbage. (E,F) show the effect of Cd stress on intercellular CO2 concentration (Ci) in non-heading cabbage. (G,H) show the impact of Cd stress on transpiration rate (Tr) in non-heading cabbage. Different lowercase letters on the bars indicate significant differences in the response of non-heading cabbage to different Cd stress concentrations at the same stress duration (p < 0.05).
Figure 7. The effect of Cd stress on the gas exchange parameters of non-heading cabbage. (A,B) show the impact of Cd stress on the net photosynthetic rate (Pn) in non-heading cabbage. (C,D) show the effect of Cd stress on stomatal conductance (Gs) in non-heading cabbage. (E,F) show the effect of Cd stress on intercellular CO2 concentration (Ci) in non-heading cabbage. (G,H) show the impact of Cd stress on transpiration rate (Tr) in non-heading cabbage. Different lowercase letters on the bars indicate significant differences in the response of non-heading cabbage to different Cd stress concentrations at the same stress duration (p < 0.05).
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Figure 8. The Effect of Cd Stress on SOD Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
Figure 8. The Effect of Cd Stress on SOD Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
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Figure 9. The Effect of Cd Stress on POD Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
Figure 9. The Effect of Cd Stress on POD Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
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Figure 10. The Effect of Cd Stress on CAT Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
Figure 10. The Effect of Cd Stress on CAT Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
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Figure 11. The Effect of Cd Stress on MDA Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
Figure 11. The Effect of Cd Stress on MDA Activity in Non-heading Chinese Cabbage. Different lowercase letters above the treatments indicate significant differences in the responses of non-heading Chinese cabbage to different Cd stress concentrations (p < 0.05), whereas the same letters indicate no significant difference.
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Table 1. Cd Content in the Aerial and Underground Parts of Non-heading Chinese Cabbage.
Table 1. Cd Content in the Aerial and Underground Parts of Non-heading Chinese Cabbage.
IndicatorT1T2T3
24 h96 h192 h24 h96 h192 h24 h96 h192 h
Aerial Part Cd Content (mg/kg)Min7.1310.6233.748.0323.6340.7711.0233.826.32
Max57.6192.486.0152.48130.05135.1111.05223.17232.18
Mean18.2533.1454.0023.6348.9967.3435.9788.6190.68
SD7.1513.7413.199.7920.8716.4816.2941.1236.92
CV39.20%41.46%24.42%41.43%42.60%24.47%45.29%46.40%40.72%
Underground Part Cd Content (mg/kg)Min693.44696.09313.68292.431007.16523.741019.951856.97314.33
Max4746.653216.842206.9812,029.274637.024959.1217,126.8913,612.049146.86
Mean1634.771494.00798.962222.62531.311552.373979.544014.112388.91
SD1003.53585.39394.471788.32785.401007.9433591739.031658.14
CV61.39%39.18%49.37%80.46%31.03%64.93%84.41%43.32%69.41%
Note: In the CK group, the Cd content detected in all plants was 0.
Table 2. Cd Accumulation Coefficient of Non-heading Chinese Cabbage Under Different Treatments.
Table 2. Cd Accumulation Coefficient of Non-heading Chinese Cabbage Under Different Treatments.
IndicatorT1T2T3
24 h96 h192 h24 h96 h192 h24 h96 h192 h
Min0.00160.00690.01880.00220.00590.01360.00200.00550.0133
Max0.08000.07990.19200.05240.06990.13670.06130.07740.6006
Mean0.01480.02490.08250.01490.02150.05800.01310.02510.0591
SD0.01070.01300.03910.00910.01200.03040.00900.01450.0187
CV72.3%52.2%47.4%61.1%55.8%52.4%68.7%57.8%31.6%
Table 3. Effect of Cd Stress on the Leaf Area of Non-heading Chinese Cabbage.
Table 3. Effect of Cd Stress on the Leaf Area of Non-heading Chinese Cabbage.
Concentration/VarietyTotal Leaf Area (cm2)
Cd Stress 24 hCd Stress 48 hCd Stress 96 hCd Stress 192 h
CK(GX-61)153.60 ± 25.15 bc203.5 ± 14.69 bc208.67 ± 61.49 a267.92 ± 49.49 b
T1(GX-61)134.02 ± 7.58 abc205.51 ± 26.54 bc210.96 ± 69.13 a156.88 ± 43.70 bc
T2(GX-61)230.36 ± 40.01 c276.18 ± 10.42 a209.95 ± 47.22 a155.24 ± 40.62 bc
T3(GX-61)232.94 ± 24.67 ab110.64 ± 25.95 d105.76 ± 46.82 b92.15 ± 6.90 c
CK(GX-05)181.00 ± 51.73 a213.33 ± 17.60 bc239.58 ± 47.29 a392.98 ± 78.88 a
T1(GX-05)205.89 ± 15.49 ab193.33 ± 10.12 c202.77 ± 7.20 a224.26 ± 71.34 b
T2(GX-05)214.68 ± 18.25 a248.55 ± 35.41 ab238.7 ± 14.64 a219.26 ± 43.64 b
T3(GX-05)229.96 ± 51.68 a234.37 ± 50.96 abc238.33 ± 66.47 a214.00 ± 109.91 b
Note: Different lowercase letters in the same row indicate significant differences between concentrations (varieties) at the same stress duration (p < 0.05).
Table 4. Effect of Cd Stress on the Canopy Area of Non-heading Chinese Cabbage.
Table 4. Effect of Cd Stress on the Canopy Area of Non-heading Chinese Cabbage.
Concentration/VarietyCanopy Area (cm2)
Cd Stress 24 hCd Stress 48 hCd Stress 96 hCd Stress 192 h
CK(GX-61)363.10 ± 35.85 a332.09 ± 38.58 a436.17 ± 36.47 a485.96 ± 17.97 a
T1(GX-61)231.91 ± 38.05 c243.80 ± 31.99 a242.05 ± 42.34 b306.85 ± 83.96 ab
T2(GX-61)297.83 ± 68.62 abc306.27 ± 62.38 a351.61 ± 95.73 ab417.45 ± 118.19 ab
T3(GX-61)266.52 ± 19.78 abc274.06 ± 11.03 a305.97 ± 20.64 ab326.87 ± 112.33 ab
CK(GX-05)323.24 ± 62.06 abc343.55 ± 104.76 a440.11 ± 133.72 a395.86 ± 33.65 ab
T1(GX-05)340.92 ± 61.08 ab344.31 ± 36.49 a425.43 ± 32.00 a282.16 ± 85.79 b
T2(GX-05)307.62 ± 45.66 abc325.81 ± 34.61 a424.15 ± 44.43 a293.90 ± 80.35 b
T3(GX-05)258.36 ± 50.64 bc323.89 ± 131.31 a334.28 ± 148.94 ab237.86 ± 155.65 b
Note: Different lowercase letters in the same row indicate significant differences between concentrations (varieties) at the same stress duration (p < 0.05).
Table 5. The Effect of Cd Stress on the Chlorophyll a Content of Non-heading Chinese Cabbage.
Table 5. The Effect of Cd Stress on the Chlorophyll a Content of Non-heading Chinese Cabbage.
Concentration/VarietyChlorophyll a Content (mg/g)
Cd Stress 24 hCd Stress 48 hCd Stress 96 hCd Stress 192 h
CK(GX-61)0.744 ± 0.002 d0.873 ± 0.002 c1.070 ± 0.005 b1.011 ± 0.002 a
T1(GX-61)1.040 ± 0.002 a1.022 ± 0.004 b0.777 ± 0.003 c0.514 ± 0.003 d
T2(GX-61)0.763 ± 0.002 c0.914 ± 0.001 b0.929 ± 0.002 a0.68 ± 0.002 d
T3(GX-61)0.821 ± 0.002 a0.778 ± 0.002 b0.718 ± 0.003 c0.427 ± 0.002 d
CK(GX-05)0.769 ± 0.002 c0.804 ± 0.002 b0.986 ± 0.001 a0.681 ± 0.001 d
T1(GX-05)0.739 ± 0.002 c0.673 ± 0.002 b0.53 ± 0.006 a0.58 ± 0.002 d
T2(GX-05)0.767 ± 0.001 b0.796 ± 0.001 a0.727 ± 0.005 c0.422 ± 0.002 d
T3(GX-05)0.835 ± 0.002 a0.755 ± 0.001 b0.698 ± 0.003 c0.296 ± 0.002 d
Note: Different lowercase letters in the same row indicate significant differences in the responses of the same variety of non-heading Chinese cabbage to different Cd stress durations (p < 0.05).
Table 6. The Effect of Cd Stress on the Chlorophyll b Content of Non-heading Chinese Cabbage.
Table 6. The Effect of Cd Stress on the Chlorophyll b Content of Non-heading Chinese Cabbage.
Concentration/VarietyChlorophyll b Content (mg/g)
Cd Stress 24 hCd Stress 48 hCd Stress 96 hCd Stress 192 h
CK(GX-61)0.233 ± 0.006 c0.292 ± 0.002 b0.335 ± 0.005 a0.339 ± 0.006 a
T1(GX-61)0.335 ± 0.002 a0.334 ± 0.006 a0.251 ± 0.003 b0.175 ± 0.002 c
T2(GX-61)0.250 ± 0.001 c0.289 ± 0.003 b0.312 ± 0.002 a0.232 ± 0.002 d
T3(GX-61)0.255 ± 0.002 a0.257 ± 0.007 a0.228 ± 0.002 b0.140 ± 0.005 c
CK(GX-05)0.239 ± 0.002 b0.230 ± 0.003 c0.294 ± 0.003 a0.217 ± 0.003 d
T1(GX-05)0.226 ± 0.003 a0.213 ± 0.003 b0.177 ± 0.009 c0.213 ± 0.006 b
T2(GX-05)0.232 ± 0.001 b0.248 ± 0.001 a0.233 ± 0.005 b0.161 ± 0.004 c
T3(GX-05)0.251 ± 0.002 a0.245 ± 0.001 a0.218 ± 0.004 b0.115 ± 0.006 c
Note: Different lowercase letters in the same row indicate significant differences in the responses of the same variety of non-heading Chinese cabbage to different Cd stress durations (p < 0.05).
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Chang, P.; Wang, S.; Xu, H.; Chen, Y.; Wei, A.; Wu, S. Effects of Cadmium Stress on Phenotypic Traits, Photosynthetic Performance, and Physiological and Biochemical Responses in Non-Heading Chinese Cabbage. Horticulturae 2026, 12, 116. https://doi.org/10.3390/horticulturae12010116

AMA Style

Chang P, Wang S, Xu H, Chen Y, Wei A, Wu S. Effects of Cadmium Stress on Phenotypic Traits, Photosynthetic Performance, and Physiological and Biochemical Responses in Non-Heading Chinese Cabbage. Horticulturae. 2026; 12(1):116. https://doi.org/10.3390/horticulturae12010116

Chicago/Turabian Style

Chang, Pengyan, Songliang Wang, Haobin Xu, Yongkuai Chen, Anni Wei, and Shuijin Wu. 2026. "Effects of Cadmium Stress on Phenotypic Traits, Photosynthetic Performance, and Physiological and Biochemical Responses in Non-Heading Chinese Cabbage" Horticulturae 12, no. 1: 116. https://doi.org/10.3390/horticulturae12010116

APA Style

Chang, P., Wang, S., Xu, H., Chen, Y., Wei, A., & Wu, S. (2026). Effects of Cadmium Stress on Phenotypic Traits, Photosynthetic Performance, and Physiological and Biochemical Responses in Non-Heading Chinese Cabbage. Horticulturae, 12(1), 116. https://doi.org/10.3390/horticulturae12010116

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