1. Introduction
In the face of climate change and an ever-expanding global population, the agricultural sector has been driven to embrace innovative practices to ensure the continuous supply of fresh produce while maintaining environmental sustainability. Plants confront various environmental constraints, including salinity, alkalinity, drought, extreme temperatures, heavy metal toxicity, flooding, ultraviolet radiation, and ozone exposure [
1]. These abiotic stresses disrupt plants' growth, physiology, and overall functionality, posing significant challenges to crop yield and global food security. Key to this endeavor is a comprehensive understanding of plant responses and the effective management of stress factors that impact crop growth and development. Stresses pose a significant threat to crop growth and productivity. In this pursuit of resilient agriculture, a particular stressor that warrants attention is alkalinity stress [
1]. Alkaline conditions in the soil and irrigation water can severely hamper plant growth and productivity [
1,
2]. Excessive alkalinity in water can disrupt the delicate pH balance essential for proper nutrient uptake in plants, leading to nutrient deficiencies and reduced growth. Moreover, elevated alkalinity can trigger oxidative stress by impairing the plant's ability to regulate reactive oxygen species (ROS), causing cellular damage and hindering overall physiological functions [
1]. Studying alkalinity in hydroponic culture even when adjusting pH with acids, remains important for the following reasons: the alkalinity level affects the capacity of the solution to resist changes in pH. Understanding the alkalinity level provides insights into the system's buffering capacity and its ability to maintain a stable pH over time [
3]. Alkalinity affects the availability, solubility, and precipitation of various nutrients. While adjusting pH with acids may address immediate pH concerns, studying alkalinity helps in understanding long-term nutrient interactions and potential nutrient imbalances that may arise due to alkalinity effects. By studying alkalinity, growers can optimize nutrient management strategies to ensure proper nutrient uptake and avoid imbalances. Alkalinity is a critical parameter for assessing water quality suitability for hydroponic systems. Water sources with high alkalinity may require additional treatments or adjustments to achieve optimal growing conditions [
4]. Therefore, exploring novel strategies for alleviating this stress and promoting crop resilience is essential.
Plant growth and productivity is an intricate interplay between external and internal factors. Environmental factors like light, temperature, nutrients, and water profoundly influence crop growth [
2]. Controlled environment agriculture (CEA) has been introduced to produce crops safely [
5]. However, optimization of environmental conditions, including lighting and growing environments in CEA, is a challenging issue that has attracted the attention of scientists and plant growers [
5]. Optimal manipulation of artificial light in CEA, especially in vertical and indoor farms, is critical to the successful and cost-effective production of crops in those environments. Moreover, removing the alkalinity problem in the irrigation water for crop production in CEA is vital in the region where water quality is not optimum.
Gamma-aminobutyric acid (GABA) is a natural non-protein amino acid that plays a crucial role in plants metabolism. While traditionally known for its significance as an inhibitory neurotransmitter in animals and humans, GABA's role as a signaling molecule in plants has gained attention in recent years. It is involved in various physiological and biochemical processes, mediating responses to environmental stresses [
6]. When subjected to alkaline conditions, plants can synthesize and accumulate higher levels of GABA. This increase in GABA content helps mitigate the damaging effects of alkaline stress. GABA is a versatile molecule in this context, playing a dual role. First, it functions as an osmolyte, regulating cellular water balance and preventing water loss from plant cells under alkaline stress conditions [
6,
7]. Second, GABA acts as a signaling molecule, activating various stress-responsive genes and pathways. It aids in enhancing the plant's defence mechanisms against oxidative stress, reducing the production of harmful ROS, and maintaining cellular redox balance. Moreover, GABA enhances the activity of antioxidant enzymes, such as superoxide dismutase, catalase, and peroxidases, thus providing additional protection against oxidative damage induced by stresses. By modulating these physiological processes, GABA helps plants maintain cellular homeostasis and adapt to alkaline stress conditions, ultimately promoting better growth and survival [
8,
9]. GABA's involvement in mitigating the adverse effects of stress highlights its importance as a plant stress regulator. Understanding the mechanisms by which GABA confers plant protection under alkaline conditions can pave the way for developing more resilient crop varieties and sustainable agricultural practices to tackle environmental challenges.
Amidst the quest for strategies to bolster crop productivity in CEA systems under artificial light when water quality is not optimum, attempts to increase yields while facing such challenges have often met with limited success. Nevertheless, mitigating the impact of these stressors on plants remains a perpetual endeavor, prompting the exploration of innovative approaches.
The response of plants to light, in particular, hinges on diverse factors, encompassing light quality, environmental conditions, seasonal variations, genotype, cultivation techniques, and more. One such avenue of investigation lies in harnessing the potential of different light spectra in CEA systems. Light-emitting diodes (LEDs) are widely used in CEAs to compensate for the lack of sunlight in closed CEAs. Red (R), blue (B), and farred red (FR) attracted as much attention as the quality of light sources in indoor farming systems. However, the interaction between light quality and other environmental factors is still a matter of investigation and needs further elucidation.
The current scientific inquiry delves into GABA's positive influence in alleviating the adverse effects of alkalinity stress on Lollo Rosso lettuce plants under diverse light spectra. The study aimed to shed light on a novel approach that could potentially fortify the resilience and productivity of Lollo Rosso lettuce when confronted with alkalinity-induced stress in CEA, thus contributing to the broader understanding of plant stress responses and their implications for agricultural practices.
2. Materials and Methods
2.1. Plant materials and growth conditions
Eleven days old Lollo Rosso lettuce (
Lactuca sativa) seedlings grown under white light were transferred to different cabinets equipped with various LED light qualities and irrigated with a Hoagland solution [
10]. The plants were placed in a growth medium containing equal proportions of cocopeat and perlite. The average temperature of 25 ± 2 °C and relative humidity of 60±10% were kept in the growth cabinets.
2.2. Treatments
To investigate the effect of GABA and alkalinity stress under different light spectra, the seedlings were subjected to different light spectra, including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), a combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio. Light-emitting diode (LED) modules (Parcham Co, Tehran, Iran) were used as the light source to have different light spectra in growth cabinets. The plants were exposed to a 16/8 h light/dark period. The light intensity in each chamber was carefully fixed and maintained at 250 ± 20 µmol m-2 s-1 photosynthetic photon flux density (PPFD). The intensity and spectral quality of the light were meticulously monitored using a spectrometer (Sekonic C-7000, Tokyo, Japan). Following the light treatments, at four stages, the seedlings were pre-treated with two levels of GABA (0 and 50 µmol L-1) into the Hoagland's nutrient solution in a three-day interval time-scale before applying alkaline stress. Subsequently, alkalinity stress was induced using two levels of NaHCO3 (0 and 40 mM) every three days (a total of approximately 12 applications of alkalinity stress).
2.3. Morphological properties
Upon completion of the experiment and subsequent harvest, fresh weight (FW) and dry weight (DW) of different plant parts, including roots, stems, and leaves, were meticulously measured. Firstly, the leaves and stems were carefully detached from the plant base. Any excess substrate clinging to the roots was meticulously removed. Then, the FW of leaves, roots, and stems were determined. Subsequently, DW was recorded following placing plant materials in an oven at 75 °C for 72 h.
2.4. Assessment of fast induction of chlorophyll fluorescence
The fully grown leaves of Lollo Rosso lettuce plants underwent a 20-minute incubation in total darkness. To determine the polyphasic chlorophyll (Chl) fluorescence transients (OJIP test), a Fluorpen FP 100-MAX device (Photon Systems Drasov, Czech Republic) was employed. The assessment of OJIP transient parameters followed by well-established methodologies as previously reported in earlier studies [
11,
12,
13,
14].
2.5. Imaging of chlorophyll fluorescence quenching
Samples were collected from fully matured leaves of Lollo Rosso lettuce cultivated under different treatments. These samples were subjected to a dark-adaptation period of 20 min before being immediately utilized for the measurement of slow induction of chlorophyll fluorescence using a FluorCam (FluorCam FC 1000-H, Photon Systems Instruments, PSI, Drasov, Czech Republic). The FluorCam was equipped with a high-resolution CCD camera and four fixed LED panels, which were utilized to provide precise measuring pulses and induce saturating flashes. Maximum quantum efficiency of photosystem II (F
v/F
m) was calculated using a designed protocol [
15]. In brief, chlorophyll fluorescence measurement commenced by subjecting the samples to short flashes in total darkness. Subsequently, high light intensity (3900 µmol m
-2 s
-1) was applied at the end of fast measuring flashes to halt the electron transport resulting from the reduction of quinone acceptors. This meticulous protocol allowed for recording two sets of fluorescence data: one averaged throughout short flashes in darkness (F
o), and the other recorded at the time of exposure to the saturating flash (F
m).
To determine non-photochemical quenching (NPQ), the maximum fluorescence in the light-adapted steady state (Fm') and dark-adapted state (Fm) were recorded and subsequently utilized for NPQ measure [
16]. All relevant data and intricate calculations were meticulously performed using version 7 of the FluorCam software (PSI, Drasov, Czech Republic).
2.6. Pigments analysis
To investigate the impact of light spectra, GABA, and alkaline stress on photosynthetic pigment levels (including Chl
a,
b, total (Chl
a + Chl
b), and carotenoids), the methodology outlined by Lichtenthaler’s protocol [
17] was employed. To do so, leaf tissue samples (100 mg) were taken and homogenized in 10 mL of 80% acetone. The mixture was then incubated overnight at 4 °C in total darkness to avoid potential light interference. Following incubation, the supernatant was obtained by centrifuging the sample at 6000 rpm for 10 min at a constant temperature of 25 °C. Subsequently, spectrophotometric readings were taken at wavelengths of 646 nm, 663 nm, and 470 nm to assess the absorbance levels.
2.7. Measurement of total anthocyanin content
Total anthocyanin content was quantified using a methanol-formic acid (98:2, v/v) extraction solution. Initially, 25 ml of this solution was meticulously added to vials containing 500 mg of powdered lettuce leaves to facilitate the comprehensive extraction of anthocyanins. Subsequently, the vials underwent a brief ultrasonic bath for 2 min, followed by centrifugation (SIGMA 1-14K, Darmstadt, Germany) at 2500 rpm for 5 min at 25 °C. The conclusive step involved the quantification of anthocyanins, which was achieved by applying calibration curves derived from malvidin-3-glucoside [
18].
2.8. Quantitative Analysis of Carbohydrates
Well-developed leaves were collected to determine the concentration of soluble carbohydrates in lettuce. The assessment of total soluble carbohydrates was conducted using the anthrone procedure [
19]. Initially, samples of lettuce leaves were ground meticulously in liquid nitrogen. Then, 0.2 g of tissue was extracted and combined with 7 mL of 70% ethanol (w/v) for a duration of 5 min while being kept on ice. Subsequently, centrifugation at 6700× g for 10 min at 4 °C was carried out to separate the components effectively. To initiate the spectrophotometric analysis, 200 mL of the supernatant was mixed with 1 mL of an anthrone solution consisting of 0.5 g of anthrone, 250 mL of 95% H
2SO
4, and 12.5 mL of distilled water. The resulting mixture was subjected to spectrophotometric recording at 625 nm (PerkinElmer, Lambda 25, USA).
2.9. Statistical analysis
This study was conducted in a completely randomized factorial design, comprising three factors: pre-treatment with GABA at two levels (0 and 50 µM), light spectra at five levels, and alkalinity stress at two levels (0 and 40 mM) with three replicants for each treatment. After data collection, analysis of variance (ANOVA) and subsequent comparisons of means were conducted employing Duncan's multiple range test at a significance level of 0.01. The statistical analysis was undertaken expertly using the sophisticated SAS software (Statistical Analysis System, version 9.4), ensuring the utmost reliability and precision in the obtained results.
Figure 1.
Morphological characteristics in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress.
Figure 1.
Morphological characteristics in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress.
Figure 3.
Biomass partitioning in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) and 0 and 40 mM NaHCO3 as alkaline stress.
Figure 3.
Biomass partitioning in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) and 0 and 40 mM NaHCO3 as alkaline stress.
Figure 4.
The corresponding image of the maximum quantum yield of photosystem II (Fv/Fm) in Lollo Rosso lettuce plants under different light spectra, including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress.
Figure 4.
The corresponding image of the maximum quantum yield of photosystem II (Fv/Fm) in Lollo Rosso lettuce plants under different light spectra, including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress.
Figure 5.
Performance index per absorbed light (PIabs) in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress.
Figure 5.
Performance index per absorbed light (PIabs) in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress.
Figure 6.
The Non-Photochemical Quenching (NPQ) of chlorophyll fluorescence in Lollo Rosso lettuce plants under different light spectra, including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 6.
The Non-Photochemical Quenching (NPQ) of chlorophyll fluorescence in Lollo Rosso lettuce plants under different light spectra, including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 7.
Chlorophyll a (A; Chl a), Chlorophyll b (B; Chl b), total chlorophyll (C; Total Chl), and Carotenoid (D) contents in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 7.
Chlorophyll a (A; Chl a), Chlorophyll b (B; Chl b), total chlorophyll (C; Total Chl), and Carotenoid (D) contents in Lollo Rosso lettuce plants under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 8.
Total anthocyanins content in Lollo Rosso lettuce leaves under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol L-1 γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 8.
Total anthocyanins content in Lollo Rosso lettuce leaves under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol L-1 γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 9.
Soluble carbohydrate content in Lollo Rosso lettuce leaves under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Figure 9.
Soluble carbohydrate content in Lollo Rosso lettuce leaves under different light spectra including red (R, 600–700 nm), blue (B, 400–500 nm), white (W, 400-730 nm), combination of R and B light in 3 R:1B ration, and combination of R and B together with far red (FR, 700-750 nm) in 2R:1B:1FR ratio under fixed light intensity of 250 ± 10 µmol m-2 s-1. Plants under each light spectra were fertigated with Hoagland solution containing 0 and 50 µmol γ-aminobutyric acid (GABA) under 0 and 40 mM NaHCO3 as alkaline stress. Different letters indicate that values are significantly different at p < 0.01 according to Duncan’s multiple range tests. Bars represent the mean value of three replications ± standard deviation.
Table 1.
Energy Fluxes in Lollo Rosso lettuce under various light spectra and alkaline stress conditions.
Table 1.
Energy Fluxes in Lollo Rosso lettuce under various light spectra and alkaline stress conditions.
Light spectrum |
GABA (µmolL-1) |
Alkalinity stress(mM) |
ABS/RC |
TR0/RC |
ET0/RC |
DI0/RC |
R |
0 |
0 |
3.8f
|
3.2f
|
1.8e
|
0.9f
|
R |
0 |
40 |
4.2e
|
3.3e
|
1.9d
|
1e
|
R |
50 |
0 |
3.4g
|
3.1g
|
1.7f
|
0.8g
|
R |
50 |
40 |
3.8f
|
3.2f
|
1.8e
|
0.9f
|
B |
0 |
0 |
5.4b
|
3.6b
|
2.1b
|
1.3b
|
B |
0 |
40 |
5.7a
|
3.7a
|
2.2a
|
1.4a
|
B |
50 |
0 |
5c
|
3.5c
|
2c
|
1.2c
|
B |
50 |
40 |
5.4b
|
3.6b
|
2.2a
|
1.3b
|
3R:1B |
0 |
0 |
2.6i
|
3h
|
1.6h
|
0.6i
|
3R:1B |
0 |
40 |
3.4g
|
3.1g
|
1.8g
|
0.8g
|
3R:1B |
50 |
0 |
2.2j
|
2.9i
|
1.4j
|
0.5j
|
3R:1B |
50 |
40 |
3h
|
3h
|
1.6h
|
0.7h
|
2R:1B:1FR |
0 |
0 |
2.6i
|
2.8j
|
1.5i
|
0.6i
|
2R:1B:1FR |
0 |
40 |
3h
|
2.9i
|
1.7f
|
0.7h
|
2R:1B:1FR |
50 |
0 |
2.2j
|
2.7k
|
1.4j
|
0.5j
|
2R:1B:1FR |
50 |
40 |
2.6i
|
2.8j
|
1.5i
|
0.6i
|
W |
0 |
0 |
4.6d
|
3.4d
|
2c
|
1.1d
|
W |
0 |
40 |
5c
|
3.5c
|
2.1b
|
1.2c
|
W |
50 |
0 |
4.2e
|
3.3e
|
1.9d
|
1e
|
W |
50 |
40 |
4.6d
|
3.4d
|
2c
|
1.1d
|
P Value |
- |
- |
0.014 |
0.025 |
0.0148 |
0.001 |