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Article

Exogenous Calcium Improves Photosynthetic Capacity of Pinus sylvestris var. mongolica under Drought

1
College of Forestry, Shenyang Agricultural University, Shenyang 110866, China
2
Institute of Modern Agricultural Research, Dalian University, Dalian 116622, China
3
Life Science and Technology College, Dalian University, Dalian 116622, China
*
Authors to whom correspondence should be addressed.
Forests 2022, 13(12), 2155; https://doi.org/10.3390/f13122155
Submission received: 1 November 2022 / Revised: 5 December 2022 / Accepted: 12 December 2022 / Published: 16 December 2022
(This article belongs to the Special Issue Advances in Plant Photosynthesis under Climate Change)

Abstract

:
Calcium (Ca), a secondary messenger, plays an essential role in improving drought resistance. We used the Fast Chlorophyll Fluorescence Induction Dynamics technique to investigate the effects of exogenous calcium on electron transport and energy fluxes in an 8-year-old Mongolian pine to investigate the mechanism of action of Ca in regulating drought adaptation in Pinus sylvestris var. mongolica. We found water stress significantly decreased Pn and Gs, but exogenous calcium significantly improved photosynthesis under water stress. The chlorophyll a fluorescence transient (OJIP) analysis revealed that water stress increased Fo and decreased Fm, inactivating reaction centers. Water stress reduced VI and VJ while increasing Mo, destroying the electron transport chain. Exogenous calcium increased Sm while decreasing VI and Mo under water stress, enhancing electron transport from QA to QB. Furthermore, 5 mM Ca2+ increased I-P phase and ψPo, δRo, and φRo, decreasing the drought-induced reduction in electron accepters of PSⅠ. The increase in ABS/RC, TRo/RC, ETo/RC, and DIo/RC caused by 5 mM Ca2+ demonstrated that calcium can regulate photoprotection to promote photosynthetic activity. Thus, exogenous calcium alleviated drought-induced reductions in photosynthetic activity by regulating photoprotection and boosting the electron transport efficiency at the acceptor side of PSⅡ and PSⅠ.

1. Introduction

Mongolian pine (Pinus sylvestris var. mongolica) is the most important afforestation tree species in Three-North (northwest, north, and northeast) China, particularly in sandy areas [1,2,3]. However, Mongolian pine plantations have experienced serious dieback and decline since the 1990s [4]. Drought is a major abiotic factors influencings forest production and the global carbon balance. Drought mainly affects plant development and metabolism via altering photosynthesis [5]. Drought influences photosynthesis by lowering assimilate carbon, as plants adapt to drought by rapidly reducing stomatal openings [6]. Furthermore, drought reduces photosystem II (PSⅡ) activity, enhances oxidation efficiency, limits electron transport, and damages the oxygen-evolving complex [7,8,9]. Photosynthesis is an essential basic metabolic process in plants that provides energy and material for plant growth. Previous studies have demonstrated that drought reduced the efficiency of chloroplasts in capturing energy and, eventually, inhibited electron transport [10]. Furthermore, drought decreased the activity of the oxygen-evolving complex and produced photoinhibition of PSⅡ [11]. To avoid photoinhibition of the photosystem caused by drought, plants can regulate cyclic electron flow and non-photochemical quenching [12,13,14]. Drought, on the other hand, can restrict plant regulatory mechanisms. Thus, there were lots of measures to improve drought-induced photosynthesis inhibition, such as fertilization, growth regulators, and other exogenous applications.
Calcium (Ca) is thought to play an important role in tree acclimation to drought stress, not only by stabilizing the cell wall and cell membrane as an essential macronutrient, but also by regulating stomatal closure, transducing drought signals, and regulating a series of enzyme activities as a second messenger [15,16,17,18]. In addition to influencing photosynthesis through stomatal regulation, calcium is also known to be a cofactor in the formation of the structure of PSII [19,20]. Ca is also involved in linear and cyclic electron flow, as well as regulation of numerous photosynthetic proteins [21,22], which involves the regulation of photosynthetic function in response to other surroundings [23]. Ca, different from other essential plant nutrients such as nitrogen, phosphorus, and potassium, is primarily acquired mainly by the apoplastic pathway and transported upward via the xylem with rare redistribution via the phloem [24,25]. These characteristics make it vital, but challenging, for trees to obtain a continuous Ca supply under drought conditions. Despite the fact that exogenous Ca has been shown to improve tree drought resistance, investigations on the influence of calcium on photosynthetic activity have been limited [26,27,28].
Chlorophyll fluorescence is a useful indicator for the assay and analysis of photosynthetic performance and has been utilized extensively in drought physiological processes given its sensitivity to the identification of changes in the photosynthetic system [29,30,31]. When photosynthetic plants are moved to high light intensity after long durations of darkness, chlorophyll a fluorescence, which is divided into two phases: fast phase and slow phase, is triggered. The fast phase is called OJIP, where O is the origin, or the minimum fluorescence (Fo), J and P are the middle phases, and P is the peak, or the maximum fluorescence (Fm). In addition to reflecting the PSII photochemical processes and information about electron transport under stress, OJIP is sensitive to various environmental stresses [32,33,34]. The JIP test, which quantifies the activity of PSII and estimates energy fluxes, is an analysis of the OJIP [35,36]. The OJIP parameters, such as absorbance (ABS) of photons, intermediate trapping flux (TR), electron transport (ET), and reduction in the end-electron at PSI electron acceptor side (RE), were utilized to better analyze the absorption, conversion, and dissipation of light energy in plants. Chl absorbs the photon absorption flux (ABS), which are then captured by the reaction center (TR), transferred by electron transport (ET), and stored by RE to fix CO2 or other processes [37,38,39,40]. This study aimed to investigate the effect of different exogenous calcium concentrations on the photosynthetic electron transport process of Pinus sylvestris var. mongolica under drought stress and to clarify the mechanism of calcium on drought-tolerant photosynthetic organs. We subjected 8-year-old Mongolian pine to drought and applied different calcium concentrations to investigate the impacts of exogenous calcium on electron transport and energy conversion by chlorophyll a fluorescence.

2. Materials and Methods

2.1. Experimental Design and Plant Growth Conditions

We used 8-year-old Mongolian pine trees (height 1.5–1.7 m) from the Institute of Sand Fixation and Silviculture of Zhanggutai, Zhangwu Country, Liaoning province, which is the first place that Mongolian pine was successfully planted and spread to other parts of China. In April 2020, these trees were transplanted into pots filled with local sandy soil. All trees were acclimated for 2 months in the greenhouse belonging to the College of Forestry, Shenyang Agricultural University, and watered at a normal moisture level (70% pot capacity) with sterile water. In June 2020, we divided the trees into six treatments of 5 individuals arranged in a randomized plot: (1) control (CK, 70% pot capacity, zero CaCl2); (2) drought (DC, 30% pot capacity, zero CaCl2); (3) 5 mM Ca2+ (Ca5, 70% pot capacity, 5 mM CaCl2); (4) drought with 5 mM Ca2+ (DC-Ca5, 30% pot capacity, 5 mM CaCl2); (5) 10 mM Ca2+ (Ca10, 70% pot capacity, 10 mM CaCl2); (6) and drought with 10 mM Ca2+ (DC-Ca10, 30% pot capacity, 10 mM CaCl2).
The pots exposed to the water-limited development conditions were no longer watered after the addition of CaCl2 aqueous solution until the end of experiment, while the pots that had been adequately watered were watered at a normal moisture level. During the experiment period, trees were growth in the greenhouse, receiving natural light with photosynthetic photon flux density averaging 1000 ± 200 μmol m−2 s−1, ambient temperatures ranging from 21 ± 2 °C for night to 28 ± 2 °C for day and relative humidity of 60 ± 5%. After two weeks, photosynthetic and fluorescence were measured, and after a month we harvested the newest fully developed mature leaves and measured the growth parameters (dry weight per leaf and leaf area per leaf) and calculated the specific leaf area.

2.2. Gas Exchange

Photosynthetic rates (Pn, μmol m−2 s−1) and stomatal conductance (Gs, mol m−2 s−1) were determined from 9:00 to 11:00 on a sunny day with a portable photosynthesis system (Li-6400, Li-Cor Inc., Lincoln, NE, USA). The most recent fully elongated sunlight leaves were randomly selected for measurement. Photosynthetic photon flux density was set at 1000 μmol m−2 s−1.

2.3. Chlorophyll (Chl) a Fluorescence Measurement

The Chl a fluorescence transients were measured with a portable pulse-modulated chlorophyll fluorescence analyzer (OS5p+, USA). Before measurement, leaves were adapted in the dark for 20 min to ensure complete oxidation of the reaction center. Three Chl a measurements were carried out on each pot. Leaves were exposed to saturated pulsed light (3000 μmol m−2 s−1), and the fluorescence transients were recorded from 10 μs to 1 s. The fluorescence intensity at 20 μs was determined to be Fo and maximum fluorescence was defined as Fm. The different steps of the multi-phase fluorescence transient are marked in alphabetical order: when all reaction centers are open, there is minimal fluorescence intensity (the O step); the photochemical phase, or the fluorescence intensity at 2 ms (the J step), is the most noticeable stage and provides information about antenna size and the connection between PSII reaction centers [41]. When all RCs of PS II are closed, the greatest fluorescence intensity is known as P (the P step), the fluorescence intensity at 0.3 ms and 30 ms is referred as the K and I steps.
The JIP test, which has been proposed for the characterization and quantification of OJIP, has shown to be a useful tool for learning about the structural and functional aspects as well as the photosynthetic behavior of samples. The JIP test was conducted based on the calculation of Strasser and Stirbet [36,42]. The quantum yields and efficiencies were calculated according to Gururani [33]. The photosynthetic performance indexes (PIABS and PItotal) were calculated [43].

2.4. Statistical Analysis

Statistical analysis was carried out by SPSS 19. Analysis of variance (ANOVA) was carried out on the data (ANOVA) and Duncan’s multiple range test was used to find out significant differences among group means. Before ANOVA, the data were tested by the Kolmogorov–Smirnov test. When the data were not normally distributed, logarithmic or square root transformations were applied to meet the criteria of normal distribution. If transformation did not meet the criteria, a nonparametric test was used. The significance of effects of water and calcium, and their interaction were tested by a two-way ANOVA.

3. Results

The dry weight (DW) and leaf area (LA) per leaf were significantly influenced by water and calcium (p < 0.01, Figure 1). Moreover, calcium significantly affected special leaf area (SLA). Under drought stress, the dry weight (DW) and leaf area (LA) per leaf were significantly reduced in three Ca concentrations (p < 0.05, Figure 1). Both DW and LA per leaf were significantly increased by 5 mM Ca2+ in well-watered seedlings. Moreover, exogenous calcium increased the DW per leaf in water-stress seedlings compared with 0 mM Ca2+, which was significant in 5 mM Ca2+. However, the LA per leaf was not obviously different among the three Ca concentrations under water stress. The SLA is a useful parameter that measures the photosynthetic performance of leaves. Though no significant effects on SLA were observed between the water treatments. Under 5 mM and 10 mM Ca2+ conditions, water stress decreased SLA by 5.10% and 6.31%, respectively. Additionally, under 0 mM Ca2+ conditions, water stress increased SLA by 4.28%. There was no difference among the three Ca concentrations in well-watered seedlings. While both 5 mM and 10 mM Ca2+ significantly decreased SLA compared with 0 mM Ca2+ under water stress.
Water, calcium, and their interaction considerably impacted Pn and Gs (Figure 2). both Pn and Gs were significantly decreased by water stress (p <0.05, Figure 2). Pn and Gs were decreased by 77.36% and 88.84%, respectively; for 0 mM Ca2+, by 35.58% and 38.56%, respectively; for 5 mM Ca2+ and by 56.09% and 73.40%, respectively; for 10 mM Ca2+. Compared with 5 mM Ca2+ and 10 mM Ca2+ treatments, this decrease was more prominent under 0 mM Ca2+ treatments. Under well-watered treatments, the application of 10 mM Ca2+ induced a significant decrease in Pn and Gs compared with 0 mM Ca2+ and 5 mM Ca2+. However, the lowest Pn and Gs were observed in 0 mM Ca2+ under water stress. Moreover, Pn and Gs were significantly increased by 5 mM Ca2+ under droughted treatments compared with 0 mM Ca2+ and 10 mM Ca2+.
Fluorescence transient curves for all samples displayed feature sequences for OJIP steps, and K was visible in all treatments in the OJIP transient. The O-K and K-J phases of the fluorescence transient were no significant differences among all treatments. While the variable fluorescence amplitude of J-I and I-P phases showed obvious differences. Regardless of the Ca concentrations, water stress led to a considerable decrease in variable fluorescence amplitude of J-I and I-P phases (Figure 3A). Under well-watered treatments, the curve for 10 mM Ca2+ treatment was at the highest and there were no differences between 0 mM Ca2+ and 5 mM Ca2+, with the exception of P-step (Fm). Under water stress treatments, the J-I and I-P phase curves decreased with rising Ca concentrations. The first normalization of chlorophyll a fluorescence (Ft/Fo) was performed at Fo (Figure 3B) and O, K, J, I, and P steps were also present. Water stress decreased the variable fluorescence amplitude of J-I and I-P phases, and exogenous calcium caused a decrease under water stress compared with 0 mM Ca2+.
To compare visually and better assess the information about the OJIP curve reflected in the O-J, J-I, and I-P phases, the fluorescence data were double normalized (between Fo and Fm) and expressed as relative variable fluorescence (Vt). A significant increase in Vt of O-K, K-J, and J-I phase was observed when seedlings were subjected to water stress (Figure 4), and VJ was increased by 62.21% for 0 mM Ca2+, 48.43% for 5 mM Ca2+ and 45.19% for 10 mM Ca2+, which was much more increase in 0 mM Ca2+ due to water stress (Table 1). No considerable differences were detected in VJ among the three Ca concentrations in water stress. Moreover, under water stress, VI was significantly larger in 0 mM Ca2+ than in 5 mM Ca2+ and 10 mM Ca2+ (Table 1). Water had a significant influence on VJ and VI, and the interaction of water and calcium had a considerable impact on VI.
O-steps did not appear different on the OJIP curve among the treatments (Figure 3 and Figure 4). In fact, Fo was larger in 0 mM Ca2+ than in 5 mM Ca2+ and 10 mM Ca2+ under water stress (Table 1). A considerable decrease in Fm was observed under water stress. Compared with DC, 10 mM Ca2+ significantly decreased Fm under water stress (p < 0.05). Sm and Mo reflected the change in acceptor of PSⅡ. DC significantly decreased Sm, but Sm was unchangeable when the presence of exogenous calcium. Water stress significantly increased Mo, but Mo was significantly reduced by exogenous calcium, and Ca concentrations. Water and the interaction of water and calcium had a significant influence on Fm, Sm, and Mo, but not Fo (Table 1). Sm and Mo were significantly affected by calcium.
The I-P phase was assessed by double standardization of the fluorescence transient between FI and FP, denoted as VIP = (Ft − FI)/(FP − FI). VIP was almost similar in all treatments, while VIP was significantly decreased in water stress compared with well water, regardless of the Ca concentrations (Figure 5C). In addition, VOI was also used to assess I-P phase. The same as VIP, exogenous calcium did not affect the VOI (<1) in either well-watered or water stress (Figure 5A). Whereas contrary to VIP, water stress increased the VOI (<1). The VOI (≥1) was obviously different among treatments (Figure 5B). Compared with well water, water stress significantly decreased the VOI (≥1). This decline had become more pronounced without exogenous calcium. The VOI (≥1) was decreased with the increasing in Ca concentrations. Under water stress, 10 mM Ca2+ induced a lower VOI (≥1) than 5 mM Ca2+.
Water and the interaction of water and calcium significantly influenced △VIP (Figure 6). Water stress decreased △VIP by 21.58%, 4,99%, and 7.25% in the three Ca concentrations, which were significant in 0 mM Ca2+ and 10 mM Ca2+ (Figure 6). The △VIP was decreased with the increasing in Ca concentrations under well-watered treatments, and a significant decrease was observed in 10 mM Ca2+ compared with 0 mM Ca2+. In contrast, exogenous calcium significantly increased △VIP by 16.85% for 5 mM Ca2+ and by 8.48% for 10 mM Ca2+ under water stress, which was thought to be a tolerance to drought.
Except for DIo/CS, water stress significantly reduced the other phenomenological energy fluxes (ETo/CS, ABS/CS, and TRo/CS, Figure 7). Compared with 0 mM Ca2+, ETo/CS, ABS/CS, and TRo/CS were decreased by 10 mM Ca2+ in water stress. Water significantly affected phenomenological energy fluxes (ETo/CS, ABS/CS, TRo/CS, and DIo/CS). Additionally, the interaction of water and calcium significantly influenced ABS/CS, TRo/CS, and DIo/CS. A significant decrease in RC/CS was observed in water stress compared with well water. The ABS/RC, TRo/RC, and DIo/RC were increased in water stress. The specific energy fluxes showed almost no differences among Ca concentrations under well-watered treatments. Ca significantly influenced specific energy fluxes (ABS/RC, TRo/RC, ETo/RC, and DIo/RC). Moreover, the interaction of water and calcium significantly influenced TRo/RC, ETo/RC, and DIo/RC. ABS/RC, TRo/RC, and ETo/RC showed a similar trend under water stress, and 10 mM Ca2+ decreased ABS/RC, TRo/RC, and ETo/RC under water stress compared with 0 mM Ca2+ and 5 mM Ca2+. The quantum yields and efficiency were significantly decreased by water stress. Moreover, δRo was significantly affected by the interaction of water and calcium. The ψPo, δRo, and φRo were reduced with the increasing in Ca concentration in well-watered treatments. In contrast to well water, the application of exogenous calcium increased the ψPo, δRo, and φRo under water stress, which was much more pronounced in 5 mM Ca2+. Exogenous calcium, however, had no effect on ψEo, φPo, and φEo in both water conditions. Water significantly affected PIABS and PItotal, and obviously reduced PIABS and PItotal (p < 0.05, Figure 8). Although exogenous calcium did not significantly affect PIABS water conditions (Figure 8A), 5 mM Ca2+ significantly increased PItotal under water stress compared with 0 mM Ca2+ and 10 mM Ca2+ (Figure 8B). Calcium and the interaction of water and calcium significantly influenced PItotal.

4. Discussion and Conclusions

Water stress significantly decreased the DW and LA per leaf (Figure 1A,B), and Pn and Gs were also significantly reduced (Figure 2A). The inhibition of photosynthesis by drought is the main reason of the reduced growth. Plants adapt to drought by changing the stomatal aperture to balance water, transpiration, and photosynthesis, preventing water loss and reducing drought damage [44]. However, this change limits CO2 uptake and reduces photosynthesis [45]. In this study, exogenous calcium was found to boost Pn and Gs under water stress, suggesting that calcium can maintain growth by improving photosynthesis. However, excess soil Ca might be counteracted any beneficial impacts, as the DW and LA did not show any differences between 0 mM Ca2+ and 10 mM Ca2+ under water stress (Figure 1A, B). This can be related to changes in Ca-induced soil water potential under drought. Compared with 0 mM Ca2+, exogenous calcium significantly decreased SLA under water stress, and there was no considerable difference between 5 mM Ca2+ and 10 mM Ca2+, suggesting that 10 mM Ca2+ might be offset partial positive impacts but not be a Ca salt. Severe drought damaged chloroplasts, reduced PSⅡ activity, and blocked electron transport, resulting in lower photosynthetic rates. It is well-known that there is a calcium pool in the chloroplast that regulates photosynthesis [21]. This study clarifies how calcium alters photosynthesis in terms of electron transport and energy conversion between PSⅠ and PSⅡ to promote drought resistance.
In this study, water stress destroyed the electron transport chain and blocked electron transport. However, exogenous calcium lessened this effect. Water stress led to an increase in VJ and a decrease in ψEo and φEo indicating the accumulation of QA-, blocked electron transfer from QA to QB on the PSⅡ receptor side, and reduced electron transport capacity of PSⅡ [46]. The increased VI suggested water stress inhibited PQ reoxidation and reduced the electron-accepting capacity of the PQ pool. Meanwhile, the reduction in Sm also suggested the reduction in PQ pool, which was the reason for weakened electron transport capacity from QA to QB [47,48]. In addition, elevated Mo due to water stress reflected a faster rate of QA decline, indicating water stress decreased the activity of reaction centers. The increase in Fo and the decrease in Fm due to water stress further illustrated the disruption of the PSⅡ reaction centers. Abiotic stresses increase ROS accumulation, inhibit D1 protein reorganization, and reduce photosynthetic rates [49]. Previous studies discovered Ca-binding sites on the D1 protein and demonstrated exogenous calcium could increase D1 protein content, balance ROS, protect photosystem from ROS damage and maintain electron transport [50,51,52]. In this study, exogenous calcium significantly decreased Fo under water stress and alleviated drought damage on PSⅡ reaction centers. Moreover, the reduction in VI and Mo and the increase in Sm indicated exogenous calcium improved the electron transportation chain from QA to QB. In comparison with 10 mM Ca2+, 5 mM Ca2+ had a stronger mitigating effect on the reaction centers.
PIABS and PItotal quantified the effect of drought on PSⅡ activity. Drought significantly decreased PIABS and PItotal (Figure 8). Comparing the two parameters, we found that PItotal was more sensitive to perceived drought. Exogenous calcium had no impact on PIABS under water stress, but 5 mM Ca2+ caused a higher PItotal value than 0 mM Ca2+ and 10 mM Ca2+, indicating that calcium improved drought resistance. Water stress decreased ETo/CS, ABS/CS, TRo/CS, and RC/CS, possibly due to reaction centers degradation or inactivation, which would increase burden on the remaining active reaction centers [53]. The increase in specific energy fluxes (ABS/RC, TRo/RC, ETo/RC) also demonstrated partial inactivation of reaction centers. However, an increase in DIo/CS and DIo/RC suggested that the reaction centers have triggered the appropriate defense mechanism, i.e., dissipating the excess excitation energy as heat, reducing the damage to the plant from the excess light energy. Under water stress, 5 mM Ca2+ obviously increased DIo/CS compared with 0 mM Ca2+, indicating calcium can enhance the self-protection mechanism of plants under water stress. Different from 5 mM Ca2+, 10 mM Ca2+ directly inhibited ABS uptake, which may be related to the Chl size. Even though this avoids damage to the reaction centers caused by excess light energy, ETo/RC was reduced.
Water stress significantly decreased the quantum yields and efficiency. However, exogenous calcium had a negligible impact on quantum efficiency of the continuous process at the receptor side of PSⅡ, such as φPo, ψEo, and φEo. It was worth noting that exogenous calcium had an important effect on quantum yields and efficiency at the PSI acceptor side, such as ψPo, δRo, and φRo. Simultaneously, the I-P phase is related to the reduction in the acceptor side of PSI, reflecting the reversion of plastocyanin and P700+ in PSⅠ [54,55]. Exogenous calcium significantly increased VOI (≥1) and △VIP under water stress (Figure 5), indicating the application of calcium improved the final electron acceptor of PSⅠ [56]. Furthermore, the increases in ψPo, δRo, and φRo also reflected enhanced electron transport efficiency to the PSI receptor side (Figure 7). Based on the changes in quantum yields and efficiency (ψPo, δRo, and φRo) and I-P phase, we found 5 mM Ca2+ was more effective than 10 mM Ca2+ in improving the drought tolerance.

Author Contributions

S.Z. and Y.Z. designed the experiments and revised the manuscript. Y.L., A.F. and T.Z. completed the experiment. Y.L. wrote the manuscript. W.Z. completed the revision of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported jointly by the Liaoning Province Scientific Research Funding Project, grant numbers LSNZD202002 and LSNQN202012, the Science and Technology Program of Liaoning Province, grant number 2020020287-JH1/103-05-02, and the National Natural Science Foundation of China, grant number 31800364.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the policy of the institute.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jiao, S.R. Report on the causes of the early decline of Pinus sylvestris var. mongolica shelterbelt and its preventative and control measures in Zhanggutai of Liaoning province. Sci. Silvae Sin. 2001, 37, 131–138. [Google Scholar]
  2. Jiang, F.Q.; Zeng, D.H.; Zhu, J.J. Fundamentals and technical strategy for sand-fixation forest management. Chin. J. Desert Res. 1997, 17, 250–254. [Google Scholar]
  3. Song, L.N.; Zhu, J.J.; Yan, Q.L.; Li, M.C.; Yu, G.Q. Comparison of intrinsic water use efficiency between different aged Pinus sylvestris var. mongolica windbreaks in semiarid sandy land of northern China. Agroforest. Syst. 2015, 89, 477–489. [Google Scholar] [CrossRef]
  4. Zhu, J.J.; Fan, Z.P.; Zeng, D.H.; Jiang, F.Q.; Matsuzaki, T. Comparison of stand structure and growth between artificial and natural forests of Pinus sylvestris var. mongolica on sandy land. J. For. Res. 2013, 14, 103–111. [Google Scholar]
  5. Neto, M.L.; Cerqueira, J.V.A.; Cunha, J.R.; Ribeiro, R.V.; Silveira, J.A.G. Cyclic electron flow, NPQ and photorespiration are crucial for the establishment of young plants of Ricinus communis and Jatropha curcas exposed to drought. Plant Boil. 2017, 19, 650–659. [Google Scholar] [CrossRef]
  6. Xu, Z.; Zhou, G. Responses of leaf stomatal density to water status and its relationship with photosynthesis in a grass. J. Exp. Bot. 2008, 59, 3317–3325. [Google Scholar] [CrossRef] [Green Version]
  7. Lu, C.; Zhang, J. Effects of waters stress on Photosystem II photochemistry and its thermostability in wheat plants. J. Exp. Bot. 1999, 336, 1199–1206. [Google Scholar] [CrossRef]
  8. Skotnica, J.; Matouškova, M.; Nauš, J.; Lazár, D.; Dvořák, L. Thermoluminescence and fluorescence study of changes in Photosystem II photochemistry in desiccating barley leaves. Photosynth. Res. 2000, 1, 29–40. [Google Scholar] [CrossRef] [PubMed]
  9. Kannan, N.D.; Kulandaivelu, G. Drought induced changes in physiological, biochemical and phytochemical properties of Withania somnifera Dun. J. Med. Plants Res. 2011, 5, 3929–3935. [Google Scholar]
  10. Kalaji, H.M.; Jajoo, A.; Oukarroum, A.; Brestic, M.; Zivcak, M.; Samborska, I.A.; Cetner, M.S.; Łukasik, I.; Goltsev, V.; Ladle, R.J. Chlorophyll a fluorescence as a tool to monitor physiological status of plants under abiotic stress conditions. Acta Physiol. Plant. 2016, 38, 1–11. [Google Scholar] [CrossRef] [Green Version]
  11. Zhang, S.B.; Huang, W.; Zhang, J.L.; Cao, K.F. Differential responses of photosystems I and II to seasonal drought in two Ficus cultivars. Acta Oecol. 2016, 73, 53–60. [Google Scholar] [CrossRef]
  12. Zivcak, M.; Brestic, M.; Balatova, Z.; Drevenakova, P.; Olsovska, K.; Kalaji, M.H.; Allakhverdiev, S.I. Photosynthetic electron transport and specific photoprotective responses in wheat leaves under drought stress. Photosynth. Res. 2013, 117, 529–546. [Google Scholar] [CrossRef]
  13. Müller, P.; Li, X.P.; Niyogi, K.K. Non-photochemical quenching: A response to excess light energy. Plant Physiol. 2001, 125, 1558. [Google Scholar] [CrossRef] [Green Version]
  14. Oukarroum, A.; Schansker, G.; Strasser, R.J. Drought stress effects on photosystem I content and photosystem II thermotolerance analyzed using Chl a fluorescence kinetics in barley varieties differing in their drought tolerance. Physiol. Plant. 2009, 137, 188–199. [Google Scholar] [CrossRef] [PubMed]
  15. Pei, Z.M.; Ghassemian, M.; Kwak, C.M.; McCourt, P.; Schroeder, J.I. Role of farnesyl transferase in ABA regulation of guard cell anion channels and plant water loss. Science 1998, 282, 287–290. [Google Scholar] [CrossRef] [PubMed]
  16. Pei, Z.M.; Murata, Y.; Benning, G.; Thomine, S.; Klüsener, B.; Allen, G.J.; Grill, E.; Schroeder, J.I. Calcium channels activated by hydrogen peroxide mediate abscisic acid signalling in guard cells. Nature 2000, 406, 731–734. [Google Scholar] [CrossRef]
  17. Hepler, P.K. Calcium, a central regulator of plant growth and development. Plant Cell 2005, 17, 2142–2155. [Google Scholar] [CrossRef] [PubMed]
  18. Reddy, A.S.; Ali, G.S.; Celesnik, H.; Day, I.S. Coping with stresses: Roles of calcium and calcium/calmodulin-regulated gene expression. Plant Cell 2011, 23, 2010–2032. [Google Scholar] [CrossRef] [Green Version]
  19. Popelkova, H.; Boswell, N.; Yocum, C. Probing the topography of the photosystem II oxygen evolving complex: PsbO is required for efficient calcium protection of the manganese cluster against dark-inhibition by an artificial reductant. Photosynth. Res. 2011, 110, 111–121. [Google Scholar] [CrossRef]
  20. Tyryshkin, A.M.; Watt, R.K.; Baranov, S.V.; Dasgupta, J.; Hendrich, M.P.; Dismukes, G.C. Spectroscopic evidence for Ca2+ involvement in the assembly of the Mn4Ca cluster in the photosynthetic water-oxidizing complex. Biochemistry 2006, 45, 12876–12889. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Hochmal, A.K.; Schulze, S.; Trompelt, K.; Hippler, M. Calcium-dependent regulation of photosynthesis. BBA-Bioenerg. 2015, 1847, 993–1003. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Kukuczka, B.; Magneschi, L.; Petroutsos, D.; Steinbeck, J.; Bald, T.; Powikrowska, M.; Fufezan, C.; Finazzi, G.; Hippler, M. Proton Gradient Regulation5-Like1-Mediated Cyclic Electron Flow Is Crucial for Acclimation to Anoxia and Complementary to Nonphotochemical Quenching in Stress Adaptation. Plant Physiol. 2014, 165, 1604–1617. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Wang, Q.; Yang, S.; Wan, S.; Li, X. The Significance of Calcium in Photosynthesis. Int. J. Mol. Sci. 2019, 20, 1353. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. White, P.J. The pathways of calcium movement to the xylem. J. Exp. Bot. 2001, 52, 891. [Google Scholar] [CrossRef] [PubMed]
  25. White, P.J.; Broadley, M.R. Calcium in Plants. Ann. Bot. 2003, 92, 487–511. [Google Scholar] [CrossRef]
  26. Xu, C.; Li, X.; Zhang, L. The effect of calcium chloride on growth, photosynthesis, and antioxidant responces of Zoysia japonica under drought conditions. PLoS ONE 2013, 8, e68214. [Google Scholar]
  27. Jaleel, C.A.; Manivannan, P.; Sankar, B.; Kishorekumar, A.; Gopi, R.; Somasundaram, R.; Panneerselvam, R. Water deficit stress mitigation by calcium chloride in Catharanthus roseus: Effect on oxidative stress, proline metabolism and indole alkaloid accumulation. Colloids Surf. B 2007, 60, 110–116. [Google Scholar] [CrossRef] [PubMed]
  28. Khushboo; Kritika, B.; Preeti, S.; Meenakshi, R.; Vinay, S.; Deepak, K. Exogenous application of calcium chloride in wheat genotypes alleviates negative effect of drought stress by modulating antioxidant machinery and enhanced osmolyte accumulation. In Vitro Cell. Dev.-Plant 2018, 54, 495–507. [Google Scholar] [CrossRef]
  29. Stirbet, A.; Lazár, D.; Kromdijk, J.; Govindjee, G. Chlorophyll fluorescence induction: Can just a one second measurement be used to quantify a biotic stress response? Photosynthetica 2018, 1, 86–104. [Google Scholar] [CrossRef]
  30. Murchie, E.H.; Lawson, T. Chlorophyll fluorescence analysis: A guide to good practice and understandings new applications. J. Exp. Bot. 2013, 13, 3983–3998. [Google Scholar] [CrossRef] [Green Version]
  31. Mehta, P.; Allakhverdiev, S.I.; Jajoo, A. Characterization of photosystem II heterogeneity in response to high salt stress in wheat leaves (Triticum aestivum). Photosynth. Res. 2010, 105, 249–255. [Google Scholar] [CrossRef]
  32. Gururani, M.A.; Upadhyaya, C.P.; Strasser, R.J.; Yu, J.W.; Park, S.W. Evaluation of abiotic stress tolerance in transgenic potato plants with reduced expression of PSII manganese stabilizing protein. Plant Sci. 2013, 198, 7–16. [Google Scholar] [CrossRef] [PubMed]
  33. Gururani, M.A.; Venkatesh, J.; Ganesan, M.; Strasser, R.J.; Han, Y.J.; Kim, J.I.; Lee, H.Y.; Song, P.S. In vivo assessment of cold tolerance through chlorophyll-a fluorescence in transgenic zoysia grass expressing mutant phytochrome A. PLoS ONE 2015, 10, e0127200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Simeneh, T.A. Photosynthesis limiting stresses under climate change scenarios and role of chlorophyll fluorescence: A review article. Cogent Food Agric. 2020, 6, 1785136. [Google Scholar]
  35. Öz, M.T.; Turan, Ö.; Kayihan, C.; Eyidoğan, F.; Ekmekçi, Y.; Yücel, M.; Öktem, H.A. Evaluation of photosynthetic performance of wheat cultivars exposed to boron toxicity by the JIP fluorescence test. Photosynthetica 2014, 52, 555–563. [Google Scholar] [CrossRef]
  36. Stirbet, A. On the relation between the Kautsky effect (chlorophyll a fluorescence induction) and Photosystem II: Basics and applications of the OJIP fluorescence transient. J. Photochem. Photobiol. B 2011, 104, 236–257. [Google Scholar] [CrossRef]
  37. Paillotin, G. Movement of excitations in the photosynthetic domains of photosystem I. J Theor. Biol. 1976, 58, 337–352. [Google Scholar] [CrossRef]
  38. Strasser, R.J. The grouping model of plant photosynthesis: Heterogeneity of photosynthetic units in thy-lakoids. In Structure and Molecular Organisation of the Photosynthetic Apparatus, Photosynthesis, Proceedings of the Vth International Congress on Photosynthesis; Akoyunoglou, G., Ed.; Balaban International Science Services: Philadelphia, PA, USA, 1981; Volume III, pp. 727–737. [Google Scholar]
  39. Strasser, R.J.; Tsimilli-Michael, M.; Qiang, S.; Goltsev, V. Simultaneous in vivo recording of prompt and delayed fluorescence and 820-nm reflection changes during drying and after rehydration of the resurrection plant Haberlea rhodopensis. Biochim. Biophys. Acta 2010, 1797, 1313–1326. [Google Scholar] [CrossRef] [Green Version]
  40. Strasser, R.J.; Srivastava, A.; Govindjee, G. Polyphasic chlorophyll a fluorescence transient in plants and cyanobacteria. Photochem. Photobiol. 1995, 61, 32–42. [Google Scholar] [CrossRef]
  41. Strasser, R.J.; Tsimilli-Michael, M.; Srivastava, A. Analysis of the fluorescence transient. In Chorophyll Fluorescence: A Signature of Photosynthesis. Advances in Photosynthesis and Respiration Series; Papageorgiou, G.C., Govindjee, Eds.; Springer: Dordrecht, The Netherlands, 2004; pp. 321–362. [Google Scholar]
  42. Strasser, B.J.; Strasser, R.J. Measuring Fast Fluorescence Transients to Address Environmental Questions: The JIP-Test. In Photosynthesis: From Light to Biosphere; Mathis, P., Ed.; Kluwer Acadamic Publishers: Dordrecht, The Netherlands, 1995; Volume V, pp. 977–980. [Google Scholar]
  43. Zhang, N.; Xu, X.; Wu, J.; Wang, S.; Ma, X.; Li, G.; Sun, G. Effects of four types of sodium salt stress on plant growth and photosynthetic apparatus in sorghum leaves. J. Plant Interact. 2018, 13, 506–513. [Google Scholar] [CrossRef] [Green Version]
  44. Li, Y.; Li, H.; Li, Y.; Zhang, S. Improving water-use efficiency by decreasing stomatal conductance and transpiration rate to maintain higher ear photosynthetic rate in drought-resistant wheat. Crop. J. 2017, 5, 231–239. [Google Scholar] [CrossRef]
  45. Ashraf, M.; Harris, P.J.C. Photosynthesis under stressful environments: An overview. Photosynthetica 2013, 51, 163–190. [Google Scholar] [CrossRef]
  46. Strasser, B.J. Donor side capacity of photosystem II probed by chlorophyll a fluorescence transients. Photosynth. Res. 1997, 52, 147–155. [Google Scholar] [CrossRef]
  47. Xin, C.P.; Yang, J.; Zhu, X.G. A model of chlorophyll a fluorescence induction kinetics with explicit description of structural constraints of individual photosystem II units. Photosynth. Res. 2013, 117, 339–354. [Google Scholar] [CrossRef]
  48. Henmi, T.; Miyao, M.; Yamamoto, Y. Release and reactive-oxygen-mediated damage of the oxygen-evolving complex subunits of PSII during photoinhibition. Plant Cell Physiol. 2004, 45, 243–250. [Google Scholar] [CrossRef] [Green Version]
  49. Nishiyama, Y.; Yamamoto, H.; Allakhverdiev, S.I.; Inaba, M.; Yokota, A.; Murata, N. Oxidative stress inhibits the repair of photodamage to the photosynthetic machinery. EMBO J. 2014, 20, 5587–5594. [Google Scholar] [CrossRef]
  50. Yang, S.; Wang, F.; Guo, F.; Meng, J.J.; Li, X.G.; Dong, S.T.; Wan, S.B. Exogenous calcium alleviates photoinhibition of PSII by improving the xanthophyll cycle in peanut (Arachis Hypogaea) leaves during heat stress under high irradiance. PLoS ONE 2013, 8, e71214. [Google Scholar] [CrossRef] [Green Version]
  51. Yang, S.; Wang, F.; Guo, F.; Meng, J.J.; Li, X.G.; Wan, S.B. Calcium contributes to photoprotection and repair of photosystem II in peanut leaves during heat and high irradiance. J. Integr. Plant Biol. 2015, 57, 486–495. [Google Scholar] [CrossRef]
  52. Li, Z.L.; Burnap, R.L. Mutations of Arginine 64 within the putative Ca2+-binding lumenal interhelical a-b loop of the photosystem II D1 protein disrupt binding of the manganese stabilizing protein and cytochrome c550 in Synechocystis sp. PCC6803. Biochemistry 2001, 40, 10350–10359. [Google Scholar] [CrossRef]
  53. Guo, Y.Y.; Lia, H.J.; Liu, J.; Bai, Y.W.; Xue, J.Q.; Zhang, R.H. Melatonin Alleviates Drought-Induced Damage of Photosynthetic Apparatus in Maize Seedlings. Russ. J. Plant Physiol. 2020, 67, 312–322. [Google Scholar] [CrossRef]
  54. Gao, J.; Li, P.M.; Ma, F.W.; Goltsev, V. Photosynthetic performance during leaf expansion in Malus micromalus probed by chlorophyll a fluorescence and modulated 820 nm reflection. J. Photochem. Photobiol. B 2014, 137, 144–150. [Google Scholar] [CrossRef] [PubMed]
  55. Gomes, M.T.G.; da Luz, A.C.; dos Santos, M.R.; Batitucci, M.D.C.P.; Silva, D.M.; Falqueto, A.R. Drought tolerance of passion fruit plants assessed by the OJIP chlorophyll a fluorescence transient. Sci. Hortic. 2012, 142, 49–56. [Google Scholar] [CrossRef]
  56. Liu, J.; Li, H.J.; Guo, Y.Y.; Wang, G.X.; Zhang, H.J.; Zhang, R.H.; Xu, W.H. Responses of Photosynthetic Electron Transport to Drought and Re-watering in Two Maize Genotypes. Russ. J. Plant Physiol. 2020, 67, 912–922. [Google Scholar] [CrossRef]
Figure 1. Leaf dry weight (DW, A), leaf area per leaf (LA, B), and special leaf area (SLA, C) of Pinus sylvestris var. mongolica exposed to well water (WW), water stress (WS) and different calcium (Ca) concentration. Different letters indicate significant differences at p < 0.05 determined by Duncan’s multi-range test. F values are provided for the significant effects of the main variables calcium (Ca), water (W) and their interactions, and the single * in the upper right corner indicated a significant effect at 0.05 level, and the double * indicated a significant effect at 0.001 level. F is not provided when Ca, W, and their interactions are not significant.
Figure 1. Leaf dry weight (DW, A), leaf area per leaf (LA, B), and special leaf area (SLA, C) of Pinus sylvestris var. mongolica exposed to well water (WW), water stress (WS) and different calcium (Ca) concentration. Different letters indicate significant differences at p < 0.05 determined by Duncan’s multi-range test. F values are provided for the significant effects of the main variables calcium (Ca), water (W) and their interactions, and the single * in the upper right corner indicated a significant effect at 0.05 level, and the double * indicated a significant effect at 0.001 level. F is not provided when Ca, W, and their interactions are not significant.
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Figure 2. Photosynthetic rate (Pn, A) and stomatal conductance (Gs, B) of Pinus sylvestris var. mongolica exposed to well water (WW), water stress (WS), and different calcium (Ca) concentrations.
Figure 2. Photosynthetic rate (Pn, A) and stomatal conductance (Gs, B) of Pinus sylvestris var. mongolica exposed to well water (WW), water stress (WS), and different calcium (Ca) concentrations.
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Figure 3. Chlorophyll a fluorescence OJIP transient curves of Pinus sylvestris var. mongolica exposed to well water, water stress, and different calcium concentrations, descripting the fluorescence rise from Fo (O) to Fm (P). Chl a fluorescence transient curves exhibiting fluorescence intensity (a.u.: arbitrary unit); (A) normalization at Fo (Ft/Fo); (B) CK: Control; DC: drought; Ca5: 5 mM Ca2+; DC-Ca5: combined drought and 5 mM Ca2+; Ca10: 10 mM Ca2+; DC-Ca10: combined drought and 10 mM Ca2+.
Figure 3. Chlorophyll a fluorescence OJIP transient curves of Pinus sylvestris var. mongolica exposed to well water, water stress, and different calcium concentrations, descripting the fluorescence rise from Fo (O) to Fm (P). Chl a fluorescence transient curves exhibiting fluorescence intensity (a.u.: arbitrary unit); (A) normalization at Fo (Ft/Fo); (B) CK: Control; DC: drought; Ca5: 5 mM Ca2+; DC-Ca5: combined drought and 5 mM Ca2+; Ca10: 10 mM Ca2+; DC-Ca10: combined drought and 10 mM Ca2+.
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Figure 4. Relative variable fluorescence of Pinus sylvestris var. mongolica exposed to well water (WW), water stress (WS), and different calcium (Ca) concentrations. The relative variable fluorescence was a double normalization of the Chl a fluorescence transient at Fo and Fm and was calculated as Vt = (Ft − Fo)/(Fm − Fo).
Figure 4. Relative variable fluorescence of Pinus sylvestris var. mongolica exposed to well water (WW), water stress (WS), and different calcium (Ca) concentrations. The relative variable fluorescence was a double normalization of the Chl a fluorescence transient at Fo and Fm and was calculated as Vt = (Ft − Fo)/(Fm − Fo).
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Figure 5. Variable fluorescence transients double normalized at Fo and FI: VoI = (Ft − Fo)/(FI − Fo) (A,B) and at FI and FP phases: VIP = (Ft − FI)/(FP − FI) (C).
Figure 5. Variable fluorescence transients double normalized at Fo and FI: VoI = (Ft − Fo)/(FI − Fo) (A,B) and at FI and FP phases: VIP = (Ft − FI)/(FP − FI) (C).
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Figure 6. The effects of well water (WW), water stress (WS) and different calcium (Ca) concentrations on relative amplitude of the I–P phase, △VIP = (Fm − FI)/(Fm − Fo).
Figure 6. The effects of well water (WW), water stress (WS) and different calcium (Ca) concentrations on relative amplitude of the I–P phase, △VIP = (Fm − FI)/(Fm − Fo).
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Figure 7. A ‘spider plot’ of well water (WW), water stress (WS), and different calcium (Ca) concentrations on specific energy fluxes (ABS/RC, TRo/RC, ETo/RC, and DIo/RC), phenomenological energy fluxes (ETo/CS, ABS/CS, TRo/CS, and DIo/CS) and the quantum yields and efficiency (ψEo, ψPo, δRo, φPo, φEo, and φRo). All data are normalized to the control and all variables are normalized to provide a value of 1. The single * in the upper right corner indicated a significant effect at 0.05 level, and the double * indicated a significant effect at 0.001 level. F is not provided when Ca, W, and their interactions are not significant. ψEo = ETo/TRo = (1 − VJ), ψPo = REo/TRo = (1 − VI), δRo = REo/ETo = (1 − VI)/(1 − VJ), φPo = TRo/ABS = Fv/Fm, φEo = ETo/ABS = [1 − (Fo/Fm)] ψEo, φRo = REo/ABS = (1 − VJ) φPo. ABS/RC = Mo (1/VJ) (1/φPo), TRo/RC = Mo (1/VJ), ETo/RC = Mo (1/VJ) ψEo, DIo/RC = (ABS/RC) − (TRo/RC). ABS/CS = Fm, TRo/CS = φPo (ABS/CS), DIo/CS = (ABS/CS) − (TRo/CS), ETo/CS = φEo (ABS/CS).
Figure 7. A ‘spider plot’ of well water (WW), water stress (WS), and different calcium (Ca) concentrations on specific energy fluxes (ABS/RC, TRo/RC, ETo/RC, and DIo/RC), phenomenological energy fluxes (ETo/CS, ABS/CS, TRo/CS, and DIo/CS) and the quantum yields and efficiency (ψEo, ψPo, δRo, φPo, φEo, and φRo). All data are normalized to the control and all variables are normalized to provide a value of 1. The single * in the upper right corner indicated a significant effect at 0.05 level, and the double * indicated a significant effect at 0.001 level. F is not provided when Ca, W, and their interactions are not significant. ψEo = ETo/TRo = (1 − VJ), ψPo = REo/TRo = (1 − VI), δRo = REo/ETo = (1 − VI)/(1 − VJ), φPo = TRo/ABS = Fv/Fm, φEo = ETo/ABS = [1 − (Fo/Fm)] ψEo, φRo = REo/ABS = (1 − VJ) φPo. ABS/RC = Mo (1/VJ) (1/φPo), TRo/RC = Mo (1/VJ), ETo/RC = Mo (1/VJ) ψEo, DIo/RC = (ABS/RC) − (TRo/RC). ABS/CS = Fm, TRo/CS = φPo (ABS/CS), DIo/CS = (ABS/CS) − (TRo/CS), ETo/CS = φEo (ABS/CS).
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Figure 8. Effect of well water (WW), water stress (WS), and different calcium (Ca) on PIABS (performance index, A) and PItotal (total performance index, B). The capital letters indicated a significant difference at 0.05 among well water treatments. Moreover, the little letters indicated a significant difference at 0.05 among water stress treatments. The single * in the upper right corner indicated a significant effect at 0.05 level, and the double * indicated a significant effect at 0.001 level. F is not provided when Ca, W, and their interactions are not significant. PIABS = (RC/ABS) (φPo/(1 − φPo)) − (ψo/(1 − ψo)), PItotal = (RC/CS) (φPo/(1 − φPo)) − (ψo/(1 − ψo)).
Figure 8. Effect of well water (WW), water stress (WS), and different calcium (Ca) on PIABS (performance index, A) and PItotal (total performance index, B). The capital letters indicated a significant difference at 0.05 among well water treatments. Moreover, the little letters indicated a significant difference at 0.05 among water stress treatments. The single * in the upper right corner indicated a significant effect at 0.05 level, and the double * indicated a significant effect at 0.001 level. F is not provided when Ca, W, and their interactions are not significant. PIABS = (RC/ABS) (φPo/(1 − φPo)) − (ψo/(1 − ψo)), PItotal = (RC/CS) (φPo/(1 − φPo)) − (ψo/(1 − ψo)).
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Table 1. The parameters derived from the chlorophyll fluorescence curve. Sm = Area/FV, the normalized total complementary area above the O-J-I-P transit; VJ and VI are relative variable fluorescence at the J-step and I-step, respectively; Mo = 4 (F300 µs − Fo)/(Fm − Fo), the approximated initial slope of the fluorescence transient.
Table 1. The parameters derived from the chlorophyll fluorescence curve. Sm = Area/FV, the normalized total complementary area above the O-J-I-P transit; VJ and VI are relative variable fluorescence at the J-step and I-step, respectively; Mo = 4 (F300 µs − Fo)/(Fm − Fo), the approximated initial slope of the fluorescence transient.
FoFmSmVJVIMo
CK233.00 ± 5.57 b1390.67 ± 45.32 a27.13 ± 0.63 a0.23 ± 0.00 b0.71 ± 0.01 b0.27 ± 0.02 c
DC259.50 ± 3.18 a1030.33 ± 35.33 b21.62 ± 1.02 b0.37 ± 0.04 a0.77 ± 0.02 a0.54 ± 0.03 a
Ca5228.33 ± 9.84 b1338.33 ± 91.55 a27.13 ± 0.96 a0.24 ± 0.01 b0.72 ± 0.02 b0.30 ± 0.01 c
DC-Ca5232.00 ± 9.87 b996.00 ± 6.11 b26.74 ± 1.46 a0.36 ± 0.05 a0.74 ± 0.02 b0.46 ± 0.01 b
Ca10235.33 ± 9.96 b1442.67 ± 64.24 a24.07 ± 1.44 ab0.25 ± 0.02 b0.74 ± 0.00 b0.29 ± 0.01 c
DC-Ca10221.67 ± 2.19 b874.33 ± 39.82 c25.90 ± 0.49 a0.37 ± 0.00 a0.75 ± 0.01 b0.43 ± 0.02 b
FoFmSmVJVIMo
FPFPFPFPFPFP
W0.800.39154.830.008.080.0234.300.0019.810.00371.080.00
Ca3.400.070.890.6010.450.000.070.932.030.177.990.01
W*Ca3.600.064.540.0320.710.000.170.844.610.0316.120.00
Different letters within a single column indicate significant differences at p < 0.05 determined by Duncan’s multirange test. F and P values are provided for the effects of the main variables water (W), calcium (Ca), and their interactions (W*Ca). p < 0.05 are shown by bold letters.
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Li, Y.; Fang, A.; Zhang, T.; Zhang, S.; Zhu, W.; Zhou, Y. Exogenous Calcium Improves Photosynthetic Capacity of Pinus sylvestris var. mongolica under Drought. Forests 2022, 13, 2155. https://doi.org/10.3390/f13122155

AMA Style

Li Y, Fang A, Zhang T, Zhang S, Zhu W, Zhou Y. Exogenous Calcium Improves Photosynthetic Capacity of Pinus sylvestris var. mongolica under Drought. Forests. 2022; 13(12):2155. https://doi.org/10.3390/f13122155

Chicago/Turabian Style

Li, Yanan, Anqi Fang, Tengzi Zhang, Songzhu Zhang, Wenxu Zhu, and Yongbin Zhou. 2022. "Exogenous Calcium Improves Photosynthetic Capacity of Pinus sylvestris var. mongolica under Drought" Forests 13, no. 12: 2155. https://doi.org/10.3390/f13122155

APA Style

Li, Y., Fang, A., Zhang, T., Zhang, S., Zhu, W., & Zhou, Y. (2022). Exogenous Calcium Improves Photosynthetic Capacity of Pinus sylvestris var. mongolica under Drought. Forests, 13(12), 2155. https://doi.org/10.3390/f13122155

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