Skip to main content

Mitigating excessive heat in Arabica coffee using nanosilicon and seaweed extract to enhance element homeostasis and photosynthetic recovery

Abstract

Background

Global warming-related temperature increases have a substantial effect on plant and human health. The Arabica coffee plant is susceptible to growing in many places across the world where temperatures are rising. This study examines how nanosilicon and seaweed extracts can improve Arabica coffee plant resilience during heat stress treatment (49.0 ± 0.3 °C) by maintaining mineral homeostasis and photosynthetic ability upon recovery.

Results

The principal component analysis arrangement of four treatments, nanosilicon (Si), seaweed extract (SWE), Si + SWE, and control (CT), showed each element ratio of magnesium, phosphorus, chloride, potassium, manganese, iron, copper, and zinc per silicon in ambient temperature and heat stress that found influenced upper shoot rather than basal shoot and root within 74.4% of largest feasible variance as first principal component. Magnesium and iron were clustered within the silicon group, with magnesium dominating and leading to a significant increase (p ≤ 0.05) in magnesium-to-silicon ratio in the upper shoot under heat conditions, especially in Si and Si + SWE treated plants (1.11 and 1.29 fold over SWE treated plant, respectively). The SWE and Si + SWE treated plants preserved chlorophyll content (15.01% and 28.67% over Si-treated plant, respectively) under heat stress, while the Si and Si + SWE treated plants restored photosynthetic efficiency (Fv/Fm) better than the SWE treated plant.

Conclusions

The concomitant of the Si + SWE treatment synergistically protected photosynthetic pigments and Fv/Fm by adjusting the magnesium-silicon homeostasis perspective in Arabica coffee to protect real-world agricultural practices and coffee cultivation under climate change scenarios.

Peer Review reports

Background

Unquestionably, extreme climate change affects natural and agricultural ecosystems, crop species, and physiological mechanisms [1, 2]. Coffee, a globally important economic plant, is extremely sensitive to high temperatures [3]. Arabica coffee yields drop significantly in hot weather when high temperatures inhibit photosynthesis, affecting Arabica coffee growth and yield [3, 4]. In the current global environment, excessive temperatures may reduce coffee production areas [5]. Coffee plantations must adapt to specific farming and socioeconomic conditions [6]. Most coffee growers are smallholders; therefore, technology access must be considered [6]. Pham et al. [7] also recommended raising awareness and providing technical assistance to help farmers adapt to climate fluctuations and change. A suitable exogenous treatment can also increase resilience and heat stress resistance across a wide range of plant cultivation dimensions [8].

Exogenous treatment improves plant processes, as evidenced by research conducted under abiotic stress conditions, including heat [9]. Silicon has been shown to affect physiological features and biochemical links that increase plant resilience to severe abiotic stressors [10, 11]. Silicon regulation, which produces heat and drought conditions, can increase transpiration, stomatal behaviour, water loss, photosynthesis, and plant development [12, 13]. Silicon nanoparticles, improved leaf water retention and membrane stability in Triticum aestivum under 45 °C heat stress [12]. In addition, the silicon application indicated that root absorption could increase element availability, but many questions remain [14]. Understanding how the environment reacts to stress and the complex interactions between silicon and plant species is crucial [13]. Furthermore, it is also effective for seaweed extract, demonstrating their diverse roles and complex interactions in plant growth and development, including offering a resource for ecologically sustainable agriculture [15,16,17]. Seaweed extract acting as an exogenous treatment could be able to alleviate the harmful effects caused by nutrient deficiencies [18]. Seaweed extractmay act as a biostimulant given its ability to assist maize, tomato, lettuce, and almonds in absorbing iron (Fe), zinc (Zn), manganese (Mn), potassium (K), and magnesium (Mg) [19]. Extract of Ascophyllum nodosum seaweed alleviates heat stress (30 °C) and improves vigor in spinach seedlings compared to control (15 °C) [20].

Furthermore, the significance of mineral homeostasis in photosynthetic pigment interaction and efficiency is concerning. Plants need Mg, an essential micro-element, for physiological and metabolic activities, growth, and stress resistance [21]. Photosynthesis in plants requires Mg2+, which is the central Mg-atom structure of the chlorophyll molecule [22]. About 15–35% of transferred Mg modulates chlorophyll pigment homeostasis [23]. Additionally, an appropriate supply of nutritional ion balance in chloroplasts, such as potassium (K), phosphorus (P), and chloride (Cl), or copper (Cu), iron (Fe), manganese (Mn), and zinc (Zn), could lead to ion homeostasis, which is representative of the photosynthetic system [24,25,26,27]. This study hypothesizes that Si and SWE will improve the excessive heat tolerance in Arabica coffee by maintaining mineral homeostasis and photosynthetic efficiency. The primary objective of this study was to restore element homeostasis (Mg, P, Cl, K, Mn, Fe, Cu, and Zn) in root, lower, and upper shoot sections of the Arabica coffee plant after heat (49 °C) disturbance, as well as to locate variations in photosynthetic performance relating to coffee plant resilience.

Methods

Plant materials, treatments, and experimental setup

Nine-month-old seedlings of commercial Arabica coffee (Coffea arabica L. cultivar “Chiang Mai 80”) were procured from the Chiang Mai Royal Agricultural Research Center, Chiang Mai, Thailand. Forty coffee plants were grown in a 4 × 8 inch plastic bag containing soil substrates (EC = 2.687 dS m-1; pH = 5.5; organic matter = 10.36%; total nitrogen = 0.17%; total phosphorus = 0.07%; total potassium = 1.19%) under ambient greenhouse conditions with 50% shading to prevent leaf burn. Each plant received 250 mL of irrigation water every day from 8.00 to 9.00 am. Slow-release fertilizer (Osmocoat® 13-13-13; N-P-K) was applied at a rate of 5 g per plant the first year of the Arabica coffee plant, as recommended by the Department of Agriculture (DOA), Thailand. The study used a completely randomized design (CRD) with four treatments: untreated control (CT), nano-silicon (nSiO2: Si), seaweed extract (SWE), and a combination of Si and SWE treatment (Si + SWE). The plants were arranged in 4 × 2 factorials at two different temperatures: ambient (32 ± 2 °C; Am) and heat stress (49 ± 0.3 °C; Ht), with three replications (n = 3) for element analysis and four replications (n = 4) in photosynthetic relating and growth performance.

The nSiO2 used in the study was supplied by Sigma-Aldrich (St. Louis, MO, USA) and has a product surface area of 175–225 m2 g-1 and a diameter of 12 nm. The effective Si concentration of 4 mM was used in accordance with Mustafa et al. [28]. The SWE from Ascophyllum nodosum commercial extract was supplied by Phytotech and Agrochemical Supplier, Chiang Mai, and verified by the Department of Business Development, Ministry of Commerce, Thailand (SWE details in Supplementary Table S1). The SWE was dissolved in water at 0.4% (w/v), according to Noli et al. [29]. Si + SWE was prepared by dissolving Si and SWE in water and mixing them in the same concentration. Soil drenching treatments with Si, SWE, Si + SWE, and CT (water) were applied to five plants on days 0 and 6.

Fourteen days later, the plants were subjected to heat stress at 49 ± 0.3 °C for 50 min [30] in a 200-liter hot-air oven (OV200, Kluay Nam Thai Trading Group Co., Ltd., Bangkok, Thailand). with airflow of 0.71 ± 0.04 m s-1 and RH of 51.75 ± 1.37%. The plants were examined at 32 ± 2 °C, airflow 0.45 ± 0.05 m s-1 and 76.81 ± 1.02% RH for ambient conditions. The photosynthetic efficiency (maximum quantum yield; Fv/Fm) was assessed after 30 min and 24 h of heat recovery. After the 24-hour heat explosion recovery time, plant samples were processed and analysed for study.

Element analysis

The shoot apex, basal shoot (4 cm from the apex or basal), and root tissues were collected and dried at 60 °C in the hot air oven (FED115, Binder, Tuttlingen, Germany) until the weight remained constant. Plant samples were ground in a mortar with liquid nitrogen into a powder (0.5 g) and kept in the desiccator. Prior to examination, the powder was compacted under a 37 mm diameter and 2 mm height sample load holder. The sample is then loaded into a PANalytical Zetium PW5400 wavelength dispersive X-ray fluorescence (WD-XRF) spectrometer (Malvern Panalytical, Malvern, UK) for element measurement. XRF sample preparation was straightforward with non-acid digestion and accurate measurement [31]. The Malvern Panalytical SuperQ program was used to express element concentration sensitivity (%). The element content was converted into an elemental ratio by Si, each element (g kg-1) per Si (g kg-1) using the formula given by Yatkin et al. [32]. The mineral translocation factor (TF) from root to shoot was calculated as the ratio of element concentration (mg kg-1) in the apex- or basal-shoot to the root tissues, according to the modified method given by Prabasiwi et al. [33] and Vera Tome et al. [34].

Photosynthetic efficiency (Fv/Fm) measurement

The maximum quantum yield (Fv/Fm) was estimated using chlorophyll fluorescence, a sensitive indicator of photosynthetic ability [35]. The Fv/Fm, equal to the (Fm−F0)/Fm, was measured from the second to third mature fully expanded leaves [36] from the shoot apex using a Handy-PEA chlorophyll fluorometer (Hansatech, UK). In brief, the leaves were stimulated in the dark for 30 min using leaf clips. The Fv/Fm of dark-adapted leaves, which corresponds to the minimal (F0) and maximal fluorescence yield (Fm), was determined [37]. According to Lima-Moro et al. [38], a lower Fv/Fm value is caused by higher PSII light inhibition (i.e., greater F0) and lower PSII electron transport rate (lower Fm). To assess the photoinhibition and stress in the control plant, the relative relative Fv/Fm recovery was calculated. The relative Fv/Fm recovery was determined by comparing it to a control plant zero line under ambient conditions using the following equation (1).

$$\begin{aligned}&\text{R}\text{e}\text{l}\text{a}\text{t}\text{i}\text{v}\text{e}\:{\text{F}}_{\text{v}}/{\text{F}}_{\text{m}}\:\text{r}\text{e}\text{c}\text{o}\text{v}\text{e}\text{r}\text{y}\:\left(\%\right)\cr&=\left[\frac{\:{\text{F}}_{\text{v}}/{\text{F}}_{\text{m}\_\text{t}\text{n}\_\text{h}\text{e}\text{a}\text{t}}\:\text{o}\text{f}\:\text{t}\text{a}\text{r}\text{g}\text{e}\text{t}\:\text{p}\text{l}\text{a}\text{n}\text{t}\text{s}}{\text{M}\text{e}\text{a}\text{n}\:{\text{F}}_{\text{v}}/{\text{F}}_{\text{m}\_\text{t}0\_\text{A}\text{m}\text{b}\text{i}\text{e}\text{n}\text{t}}\:\text{o}\text{f}\:\text{c}\text{o}\text{n}\text{t}\text{r}\text{o}\text{l}\:\text{p}\text{l}\text{a}\text{n}\text{t}\text{s}}\times100\right]-100\end{aligned}$$

Where Fv/Fm_tn_heat is of plants at time tn after heat treatment, where tn is 30 min and 24 h. The Fv/Fm_t0_Ambient is Fv/Fm in the control plants.

Chlorophyll and carotenoid contents and growth performance

The second to third fully developed leaves from the shoot apex were collected to assay photosynthetic pigments. Fresh samples were thoroughly ground in a mortar and then extracted with 80% acetone, following the modified method described by Lichtenthaler [39]. The absorbance was measured at 470, 645, and 662 nm proper using a UV-visible spectrophotometer (DR/4000; Model 48000 HACH, Loveland, CO, USA). The acetone was used as a blank. Then, the concentration of chlorophyll a, chlorophyll b, total chlorophyll, and total carotenoids was calculated using the following equations, (2) to (5), respectively:

$$\text{Chlorophyll}\:a=\frac{\left[\right(12.25\text{OD}_{662}\:-\:2.79\text{OD}_{645})\:\times\:\text{V}]}{\left[\right(1000\:\times\:\:\text{W}\left)\right]}$$
$$\text{Chlorophyll}\:b=\frac{\left[\right(21.50\text{OD}_{645}-5.10\text{OD}_{662})\times\text{V}]}{\left[\right(1000\times\text{W}\left)\right]}$$
$$\text{Total}\text{Chlorophyll}\hspace{0.17em}=\hspace{0.17em}\text{Chlorophyll}\:a\hspace{0.17em}+\hspace{0.17em}\text{Chlorophyll}\:b$$
$$\begin{aligned}&\text{Total}\:\text{carotenoids}\:(Cx+c)\cr&\quad=\frac{\left[\frac{(1000\text{OD}_{470}-1.82\text{Chl}\:a-85.02\text{Chl}\:b)}{(198\times\text{V})}\right]}{\left[\right(1000\times\text{W}\left)\right]}\end{aligned}$$

where V is acetone volume and W is sample weight.

After the 24-h heat stress, shoot height was measured from shoot apex to basal shoot at soil level with a measuring tape. Upper (4 cm from shoot apex), lower (4 cm from basal shoot), and total shoot biomass were weighted and averaged. Plant height and the fresh biomass were measured in four treatments at both temperatures.

Data curation and statistical analysis

The ratios of the eight elements (e.g., Mg, P, Cl, K, Mn, Fe, Cu, and Zn) per silicon and the element TF to coffee plant parts measured under ambient and heat conditions in the four treatments: Si, SWE, Si + SWE, and CT were directly input to Jamovi version 2.3.18 (https://www.jamovi.org) for principal component analysis (PCA). Data standardization was conducted before PCA automatically by the Jamovi software. A biplot of PCA was carried out to explain the influences derived from elements under ambient and heat conditions. A heatmap was auto-standardized and grouped by element content for the two scenarios. The heatmaps were hierarchically clustered with Ward’s method based on Euclidean distances. A clustering dendrogram and PCA ranked relationships Fv/Fm (30 min and 24 h) recovery channels for CT, Si, SWE, and Si + SWE treatments. A Pearson correlation coefficient was used to direct line-pair scattering for the growth variables in linear connection, according to the growth study. Additionally, the analysis of variance (ANOVA) and mean ± standard error (SE) were calculated. The data were analysed by post hoc Duncan’s new multiple range test (DMRT) at p ≤ 0.05 conducted using R version 4.2.1.

Results

Element homeostasis

The Si-treated plants showed changes in elemental homeostasis, as indicated by the element-to-Si ratio (Fig. 1). Figure 1 shows the PCA of element ratios in 16 variations of the Mg, P, Cl, K, Mn, Fe, Cu, and Zn elements, along with the heat and ambient conditions, revealed a separation in an upper shoot zone in the Arabica coffee to 74.4% first principal component (PC1). The majority of these elements’ contents vary depending on the ambient temperature and heat conditions, especially in the upper and lower shoot portions (Fig. 2). Nevertheless, a hierarchical clustering result indicated It is remarkable that the Si concentration was highly significant correlated with Mg (correlation coefficient = 0.940 and 0.942) and Fe (0.950 and 0.973) in both ambient and heat conditions, respectively (Fig. 2, Supplementary Table S2). It suggests an interplay between Si, Mg, and Fe in response to element maintenance, even under different temperature conditions.

Fig. 1
figure 1

Group and vector plot of principal component analysis (PCA) in each element (magnesium, phosphorus, chloride, potassium, manganese, iron, copper, and zinc) ratio per silicon in the upper shoot, lower shoot, and root of the coffee plant under ambient (Am) and heat (Ht) conditions

Fig. 2
figure 2

Cluster analysis with heat map dendrogram for study element (magnesium, phosphorus, chloride, potassium, manganese, iron, copper, zinc, and silicon) content in the upper shoot (U), lower shoot (L), and root (R) of the coffee plant in the control (CT), silicon (Si), seaweed extract (SWE), and Si plus SWE (Si + SWE) under the (a) ambient and (b) heat conditions. Euclidean distance clustering showed nine element contents in columns. Rows indicated twelve combinations of these four treatments and three plant parts. A gradient color scale indicated a relative maximum (1) and minimum (-1)

Magnesium and iron-related silicon in response to heat treatment

Si influence suggests that Mg and Fe are involved in the group interaction (Figs. 1 and 2). Si induced Mg and Fe homeostasis. The Mg/Si ratio in the upper shoot of all four treatments ranged from 3.07 to 7.43 under both ambient and heat conditions, whereas it was decreased in basal shoot and root sections (Fig. 3a, b). In heat, the Mg/Si ratio in the upper shoot of the Si-treated and Si + SWE plants increased by 6.60 and 7.17, respectively, compared to the CT (4.28) and SWE plants (3.12) (Fig. 3b). The basal shoot and the roots in the four treatments under the heat had Mg/Si ratios of 0.25 to 1.53. In the basal shoot and the roots, this ratio significantly dropped by more than 50% compared to the upper shoot (Fig. 3b). Compared to CT plant, Si-treated, SWE, and Si + SWE plants in upper shoots had significantly lower Fe/Si in heat conditions (Fig. 3d). The Mg and Fe ratios improved only in the upper shoot of Si + SWE and CT plants under the ambient conditions (Fig. 3a, c). In addition to analyzing an element-transferring factor, the PCA revealed that Mg dominated movement into the upper shoot (from root to basal- and upper-shoot parts) in both ambient and heat environments, while Fe dominated movement from root to basal shoot, but not in the upper shoot (Fig. 4).

Fig. 3
figure 3

Comparison ratios of (a, b) magnesium per silicon, Mg/Si, and (c, d) iron per silicon, Fe/Si, in the upper shoot, lower shoot, and root of the coffee plant in the control (CT), silicon (Si), seaweed extract (SWE), and Si plus SWE (Si + SWE) under ambient and heat conditions. Different letters in each column represent significant differences (p ≤ 0.05) using DMRT

Fig. 4
figure 4

Principal component analysis (PCA) of element transferring factor (TF; ratio its self-element of magnesium, phosphorus, chloride, potassium, manganese, iron, copper, zinc, and silicon) from the root to the upper and lower shoots in the coffee plant under ambient (Am) and heat (Ht) conditions

Photosynthetic efficiency, photosynthetic pigments, and growth performance

Photosynthetic efficiency (Fv/Fm) in Si-treated, SWE, and Si + SWE plants showed a range of 0.72–0.78 after 30 min of heat treatment, compared to 0.65 in the control plant. The 24-hour recovery range was 0.76–0.78 (p ≤ 0.05) (Fig. 5a). The Si-treated plant had a higher relative Fv/Fm zero-base-line recovery rate at -3.38, while in the SWE, Si + SWE, and CT treatments it was −7.89, −7.37, and − 19.02 (p = 0.66), respectively, over 30 min. The Si-treated and Si + SWE-treated plants recovered faster than the SWE and CT plants (−5.73 and − 4.83) at p = 0.80, especially over 24 h (Fig. 5c). The dendrogram also divided Fv/Fm recovery into two groups: Si-treated and Si + SWE plants, and SWE and CT plants (Fig. 5d). PCA in the two recovery phases at correlation coefficients of 0.87 (p = 9.96e-06) showed that Si-treated Fv/Fm recovery, especially with SWE, may take longer (Fig. 5e, f).

The Si + SWE and SWE plants had increased chlorophyll a (193.56 and 200.25 µg g-1 FW) and b (444.18 and 369.79 µg g-1 FW) levels following heat exposure compared to Si-treated and CT plants (Fig. 6a, b). Si + SWE showed considerably higher chlorophyll a and b levels (157.59 and 241.68 µg g-1 FW) in the heat compared to the CT plant (p ≤ 0.05). In heat conditions, chlorophyll b content was highly correlated with total chlorophyll content in the four treatment plants. In the heat, the Si + SWE treated plant had a considerably higher total chlorophyll content (570.04 µg g-1 FW) compared to the CT plant µg g-1 FW. Similar trends were observed in carotenoid concentrations under heat conditions (Fig. 6). The increase in chlorophyll and carotenoid content in the Si + SWE plant under the heat conditions (Fig. 6) seemed to represent the Fv/Fm encouragement in the treated plants (Fig. 5).

Fig. 5
figure 5

(a) Photosynthetic efficiency (Fv/Fm) in the control (CT), silicon (Si), seaweed extract (SWE), and Si plus SWE (Si + SWE) in the coffee plants under ambient conditions for 30 min and 24-h after heat. (b, c) Relative Fv/Fm recovery 30 min and 24-h following heat treatment. (d) Cluster dendrogram of the Fv/Fm recovery, and (e, f) PCA dividing influence of the relative Fv/Fm recovery in the four treatments and the two periods. Different letters in each column represent significant differences (≤ 0.05) using DMRT

Fig. 6
figure 6

Contents of (a) chlorophyll a, (b) chlorophyll b, (c) total chlorophyll, and (d) carotenoids in the control (CT), silicon (Si), seaweed extract (SWE), and Si plus SWE (Si + SWE) treatments in the coffee plant under ambient and heat conditions. Different letters in each column represent significant differences (p ≤ 0.05) using DMRT

A stronger association (r = 0.61; p < 0.001) between the weight of the upper shoot and the whole shoot weight, with the basal shoot weight following closely behind (r = 0.53; p < 0.001). This association suggests that the shoot apex of coffee has developed slightly more than the basal shoot. The linear and bar graphs for the upper shoot weight and whole shoot weight showed that the Si + SWE treated plant (slope: 53.21) and the SWE treated plant (slope: 43.71) had a wider range of relation improvement than the Si plant (slope: 24.70), while the CT plants had a low correlation (slope: -7.59). (Fig. 7b, c). The plant height negatively correlated with these three shoot weight parts (Fig. 7a). This negative correlation may affect plant resilience under heat stress by emphasising weight gain in SWE and Si + SWE treated plants compared to Si and CT plants (Fig. 7c-e). The upper shoot weight and shoot height of coffee plants treated with Si + SWE were better than those treated with Si (at 24.13%, 1.36%) or SWE (at 2.85%, 6.42%) alone under heat conditions, respectively (Fig. 7c, e).

Fig. 7
figure 7

Changes in plant weight and height under (a) Pearson coefficient correlation and (b) linear correlation, and (c-e) comparison of upper and lower shoot weight, whole shoot weight, and plant height in the coffee plant in the control (CT), silicon (Si), seaweed extract (SWE), and Si plus SWE (Si + SWE) treatments under ambient and heat conditions

Discussion

This study examined how nanosilicon and seaweed extract, which may promote element balance through homeostasis, affect photosynthetic performance in heat-stressed Arabica coffee plants. Specifically, the nanosilicon control was necessary to restore Arabica coffee plants’ photosynthetic efficiency (Fv/Fm), whereas the seaweed extract enhanced chlorophyll concentration. The two substances may improve Arabica coffee heat tolerance.

Silicon homeostasis on coffee plant minerals under heat conditions

Si regulation differs by plant species; hence, its overall significance in respect to other elements is still unknown [14]. Most of the relatively variable PC-loading PC1 (74.4%) aligns with element ratios of Mg, P, Cl, K, Mn, Fe, Cu, and Zn per Si and affects the upper shoot under heat stress (Fig. 1). There is a scarcity of studies examining elemental aspects of Si homeostasis. Pavlovic et al. [14] suggested that Si may need the balance of Mg, P, K, Mn, Fe, and Zn, especially under nutrient deficiency stress. In this study, the Si-performance ratio was related to the promotion ratio of these eight components, particularly into the shoot apex of the coffee plant under heat stress. Si storage was enriched in the roots of Arabica coffee plants with the closest value scale 1 (Fig. 2). The dicotyledonous plants like tomatoes also absorb more Si from their roots [40]. Si is peculiarly placed within a group of Mg and Fe under heat and ambient circumstances (Fig. 2). Gunes et al. [41] found that external Si-regulated Mg and Fe changed in sunflower plants exposed to drought stress. The effects of Si in Arabica coffee plants may be best explained by the relationship between Mg and Fe. However, Si, SWE, and Si + SWE-treated coffee plants at the upper shoot had lower Fe ratios than Mg, especially in heat stress (Fig. 3). It corroborates Grege et al. [42], who found that spraying Si (K2SiO3) to wheat and carrot resulted in a rich accumulation of Fe in root tissues (~ 40%), despite only 10% Fe in shoots. The low shoot Fe concentration was caused by silicon, which formed a barrier in the cell to reduce Fe flux into the apoplastic space and higher Fe-chelating production, as shown in rice [43]. Grege et al. [42] also found that Fe enriches in the root tissues and prevents translocation to the shoot, resulting in a low TF value. Similarly, the examination of twelve wheat cultivars revealed that Fe collected in the root rather than the shoot [44]. This study revealed that Fe transmission (TF value from the root) under heat conditions was influenced more by the basal shoot section than the shoot apex (Fig. 4). Thus, Fe regulation under Si influence may not affect shoot Fe primary efficiency compared to Mg under heat conditions.

In contrast, Si treatment may increase Mg flow into the Arabica coffee upper shoot, especially under heated Si and Si + SWE treatments (Figs. 3 and 4). Si increased Mg in potted sunflower shoots compared to water stress alone [41]. Grege et al. [42] found that Si increased Mg mobility up via shoots rather than accumulating in roots in six plant species. Buchelt et al. [45] showed that Si could improve Mg usage efficiency rather than absorption to reduce Mg stress in Mg-deficient forage plant crops.

However, the mechanism of Mg mobility in the Si-Mg relationship under heat is still unknown. Apparently, Mg nutrient prefer mobility to shoot source as leaves to protect photosynthetic activity [46]. Mg modulation promotes thermal stability and catalytic activity of Rubisco activation, which enhances chlorophyll stability and photosynthetic performance under heat stress [47,48,49,50]. Previously, it has been found that adequate Mg prevented protein denaturation in coffee seedlings caused by heat stress (35 °C) [51].

Si has a greater effect on Mg efficiency in shoot than Fe; the outcomes may benefit from the Si-Mg relationship. For example, Si and Si + SWE-treated plants had 54.20 and 67.28% Mg/Si increases in the upper shoot compared to CT plants (Fig. 3). The Mg efficiency is predicted to react with photosynthetic defence against heat stress in Arabica coffee plants.

Synergistic effects of Si and SWE on photosynthetic ability in the coffee plant under heat effect

In the excessive heat, chlorophyll concentrations and photosynthetic efficiency, Fv/Fm, were downregulated in the CT plant without supplements, at 24.36–66.67% and 7.07–19.18% lower than ambient CT, respectively (Figs. 5 and 6). Heat stress causes chlorophyll degradation [52], significant leaf photosystem II deflection, decreased Fv/Fm under extreme heat (42 °C), and humidity shock in Coffea canephora [53]. Photochemical reactions caused cellular energy imbalance in chloroplast thylakoid lamellae, lowering variable fluorescence (Fv/Fm) [54]. These could be the result of heat-damaged chloroplast structures in leaf cells, as observed in a coffee study in Brazil [55].

Despite the heat, the photosynthetic efficiency, Fv/Fm, tended to keep recovery in a group treatment containing Si, Si plant, and Si + SWE treated plants from − 3.84 to -2.23 through 24 h, while the SWE plant recovered poorly (-5.73) (Fig. 5). Silicon supplementation may have increased Fv/Fm in stressed plants by absorbed light allocation, as in drought-tolerant tomato [56, 57]. As with coffee, Si homeostasis should improve Fv/Fm recovery and Mg modulation. El-Ezz et al. [58] further suggested that Fv/Fm performance might accurately indicate plant Mg assessment. In the event of photosynthesis disruption, numerus functions of Mg maintained photosynthetic activity [46]. It implies the Si may prevent Fv/Fm from disrupting Mg homeostasis in the present study.

SWE-treated plants had 6.52%, 20.20%, and 15.01% more chlorophyll a, b, and total content than Si-treated plants in heat stress. It implies that SWE protects coffee plant chlorophyll pigments from heat better than Si. Chlorophyll pigment in the leaf tissues of strawberry was similarly raised (by 2–12%) when treated with seaweed extract (TAM®) [17]. Ali et al. [16] suggested that SWE improved plant membrane nutrient transporters that increased chlorophyll and carotenoid contents. SWE also contained betaine, which prevented chlorophyll degradation and preserved photosynthetic efficiency in cucumbers [59], largely attributable to chloroplast biogenesis for horticultural plant improvement [60].

Si + SWE treatment increased chlorophyll pigments and Fv/Fm more than SWE and Si alone under heat conditions. Si and SWE interactions may regulate Mg homeostasis, chlorophyll, and photosynthetic efficacy in the coffee upper shoot to minimise severe heat effect. This suggests Si and SWE synergistically affect coffee plants. The combination of seaweed extract (3 g/L) with nanosilicon (100 mg/L) increased chlorophyll pigments and Fv/Fm in Rosa damascena in case of salt stress in vitro [61]. In the present study, the coffee plant with the Si + SWE supplement had 83.78% more chlorophyll b than the CT plant under heat (Fig. 6). The expansion of the antenna’s absorption spectrum was shown to be significantly influenced by the structure of chlorophyll b in the photosystem [62]. The dominant chlorophyll b in photosystem II was damaged by extreme heat, impeding electron transport [63, 64]. High chlorophyll b levels in the Si + SWE may assist in repairing the photosystem under heat stress in the coffee plant.

The exogenous application of Si + SWE encouraged element homeostasis in photosynthetic apparatus, particularly chlorophyll b, and photosynthetic efficiency (Fv/Fm), involving the Mg balance, reflecting the remaining to the maintenance of shoot growth in the Arabica coffee plant under heat stress.

Conclusions

The Arabica coffee plant is highly heat-sensitive. In this study, silicon promoted element ratio (per silicon) in coffee shoots under heat conditions. In response to heat, the Si homeostasis in the upper shoot of the coffee plant balanced elements, particularly Mg. Silicon management improved coffee plants’ photosynthetic efficiency (Fv/Fm), while seaweed extract increased chlorophyll. At 49 °C, Si + SWE supplementation increased photosynthetic pigments and Fv/Fm in coffee plants, occasionally affecting Mg element homeostasis in the upper shoot. Si and SWE synergy could be used in agricultural operations to improve crop resilience for high-temperature coffee cultivation. Future research will focus on Si-SWE stability mechanisms for long-term heat effects.

Data availability

The data shall be available on reasonable request to SY.

References

  1. Hassan MU, Chattha MU, Khan I, Chattha MB, Barbanti L, Aamer M, et al. Heat stress in cultivated plants: nature, impact, mechanisms, and mitigation strategies—a review. Plant Biosyst. 2021;155:211–34.

    Article  Google Scholar 

  2. Seppelt R, Klotz S, Peiter E, Volk M. Agriculture and food security under a changing climate: an underestimated challenge. iScience. 2022;25:105551.

    Article  PubMed  PubMed Central  Google Scholar 

  3. DaMatta FM, Avila RT, Cardoso AA, Martins SCV, Ramalho JC. Physiological and agronomic performance of the coffee crop in the context of climate change and global warming: a review. J Agric Food Chem. 2018;66:5264–74.

    Article  PubMed  CAS  Google Scholar 

  4. León-Sánchez L, Nicolás E, Prieto I, Nortes PA, Maestre FT, Querejeta JI. Altered leaf elemental composition with climate change is linked to reductions in photosynthesis, growth and survival in a semi-arid shrubland. J Ecol. 2020;108:47–60.

    Article  Google Scholar 

  5. DaMatta FM, Rahn E, Läderach P, Ghini R, Ramalho JC. Why could the coffee crop endure climate change and global warming to a greater extent than previously estimated? Clim Change. 2018;152:167–78.

    Article  Google Scholar 

  6. Wright DR, Bekessy SA, Lentini PE, Garrard GE, Gordon A, Rodewald AD, Bennett RE, Selinske MJ. Sustainable coffee: a review of the diverse initiatives and governance dimensions of global coffee supply chains. Ambio. 2024;53:984–1001.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Pham Y, Reardon-Smith K, Mushtaq S, Cockfield G. The impact of climate change and variability on coffee production: a systematic review. Clim Change. 2019;156:609–30.

    Article  CAS  Google Scholar 

  8. Fahad S, Bajwa AA, Nazir U, Anjum SA, Farooq A, Zohaib A, et al. Crop production under drought and heat stress: plant responses and management options. Front Plant Sci. 2017;8:1147.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhang X, Yin J, Ma Y, Peng Y, Fenton O, Wang W, et al. Unlocking the potential of biostimulants derived from organic waste and by-product sources: improving plant growth and tolerance to abiotic stresses in agriculture. Environ Technol Innov. 2024;34:103571.

    Article  CAS  Google Scholar 

  10. Mandlik R, Thakral V, Raturi G, Shinde S, Nikolić M, Tripathi DK, et al. Significance of silicon uptake, transport, and deposition in plants. J Exp Bot. 2020;71:6703–18.

    Article  PubMed  CAS  Google Scholar 

  11. SharmaS, Mushtaq M, Sudhakaran S, Thakral V, Raturi G, Bansal R, et al. Chapter 9:Silicon uptake, transport, and accumulation in plants. In: Pandey S, Tripathi DK, Singh VP, editors. Beneficialchemical elements of plants: Recent developments and future prospects. Wiley, 2023; pp. 205–226.

  12. Saha G, Mostofa MG, Rahman MM, Tran LSP. Silicon-mediated heat tolerance in higher plants: a mechanistic outlook. Plant Physiol Biochem. 2021;166:341–7.

    Article  PubMed  CAS  Google Scholar 

  13. Wang M, Wang R, Mur LAJ, Ruan J, Shen Q, Guo S. Functions of silicon in plant drought stress responses. Hortic Res. 2021;8:254.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Pavlovic J, Kostic L, Bosnic P, Kirkby EA, Nikolic M. Interactions of silicon with essential and beneficial elements in plants. Front Plant Sci. 2021;12:697592.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Agarwal PK, Dangaria M, Agarwal P. Seaweed extracts: potential biodegradable, environmentally friendly resources for regulating plant defence. Algal Res -Biomass Biof Bioprod. 2021;58:102363.

    Google Scholar 

  16. Ali O, Ramsubhag A, Jayaraman J. Biostimulant properties of seaweed extracts in plants: implications towards sustainable crop production. Plants. 2021;10:531.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Ashour M, Al-Souti AS, Hassan SM, Ammar GAG, Goda AMA-S, El-Shenody R, Abomohra AE-F, El-Haroun E, Elshobary ME. Commercial seaweed liquid extract as strawberry biostimulants and bioethanol production. Life. 2023;13:85.

  18. Hassan SM, Ashour M, Soliman AAF, Hassanien HA, Alsanie WF, Gaber A, Elshobary ME. The potential of a new commercial seaweed extract in stimulating morpho-agronomic and bioactive properties of Eruca vesicaria (L.) Cav. Sustainability. 2021;13:4485.

  19. Nanda S, Kumar G, Hussain S. Utilization of seaweed-based biostimulants in improving plant and soil health: current updates and future prospective. Int J Environ Sci Technol. 2022;19:12839–52.

    Article  CAS  Google Scholar 

  20. Anjos Neto AP, Oliveir GR, Mello S, Silva MS, Gomes-Junior FG, Novembre AD, Azevedo RA. Seed priming with seaweed extract mitigate heat stress in spinach: effect on germination, seedling growth and antioxidant capacity. Bragantia. 2020;79:502–11.

    Article  Google Scholar 

  21. Tian X, He D, Bai SK, Zeng W, Wang Z, Wang M, Wu L, Chen Z. Physiological and molecular advances in magnesium nutrition of plants. Plant Soil. 2021;468:1–17.

    Article  CAS  Google Scholar 

  22. Dukic E, van Maldegem KA, Shaikh KM, Fukuda K, Töpel M, Solymosi K, et al. Chloroplast magnesium transporters play essential but differential roles in maintaining magnesium homeostasis. Front Plant Sci. 2023;14:1221436.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Ishfaq M, Wang Y, Yan M, Wang Z, Wu L, Li C, Li X. Physiological essence of magnesium in plants and its widespread deficiency in the farming system of China. Front Plant Sci. 2022;13:802274.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Bharti K, Pandey N, Shankhdhar D, Srivastava PC, Shankhdhar SC. Effect of exogenous zinc supply on photosynthetic rate, chlorophyll content and some growth parameters in different wheat genotypes. Cereal Res Comm. 2014;42:589–600.

    Article  CAS  Google Scholar 

  25. Hänsch R, Mendel RR. Physiological functions of mineral micronutrients (Cu, Zn, Mn, Fe, Ni, Mo, B, cl). Curr Opin Plant Biol. 2009;12:259–66.

    Article  PubMed  Google Scholar 

  26. Kunz HH, Armbruster U, Mühlbauer S, de Vries J, Davis GA. Chloroplast ion homeostasis - what do we know and where should we go? New Phytol. 2024;243:543–59.

    Article  PubMed  CAS  Google Scholar 

  27. Rengel Z. Mineral nutrition of crops: fundamental mechanisms and implications. CRC; 1999.

  28. Mustafa T, Sattar A, Sher A, Ul-Allah S, Ijaz M, Irfan M, et al. Exogenous application of silicon improves the performance of wheat under terminal heat stress by triggering physio-biochemical mechanisms. Sci Rep. 2021;11:23170.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Noli ZA, Suwirmen Aisyah, Aliyyanti P. Effect of liquid seaweed extracts as biostimulant on vegetative growth of soybean. IOP Conference Series: Earth Environ Sci. 2021;759:012029.

  30. Marias DE, Meinzer FC, Still C. Impacts of leaf age and heat stress duration on photosynthetic gas exchange and foliar nonstructural carbohydrates in Coffea arabica. Ecol Evol. 2017;7:1297–310.

  31. Chojnacka K, Samoraj M, Tuhy Ł, Michalak I, Mironiuk M, Mikulewicz M. Using XRF and ICP-OES in Biosorption studies. Molecules. 2018;23:2076.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Yatkin S, Trzepla K, White WH, Spada NJ, Hyslop NP. Development of single-compound reference materials on polytetrafluoroethylene filters for analysis of aerosol samples. Spectrochim Acta Part B. 2020;171:105948.

    Article  CAS  Google Scholar 

  33. Prabasiwi D, Sukirno, Murniasih S, Rozana K. Transfer factor as indicator of heavy metal content in plants around Adipala steam power plant. J Phys: Conf Ser. 2020;1436:012133.

    CAS  Google Scholar 

  34. Vera Tome F, Blanco Rodríguez MP, Lozano JC. Soil-to-plant transfer factors for natural radionuclides and stable elements in a Mediterranean area. J Environ Radioact. 2003;65:161–75.

    Article  PubMed  CAS  Google Scholar 

  35. Jägerbrand AK, Kudo G. Short-term responses in maximum quantum yield of PSII (Fv/Fm) to ex situ temperature treatment of populations of bryophytes originating from different sites in Hokkaido, northern Japan. Plants. 2016;26:22.

    Article  Google Scholar 

  36. Jia M, Li D, Colombo R, Wang Y, Wang X, Cheng T, et al. Quantifying chlorophyll fluorescence parameters from hyperspectral reflectance at the leaf vcale under various nitrogen treatment regimes in winter wheat. Remote Sens. 2019;11:2838.

    Article  Google Scholar 

  37. Maxwell K, Johnson GN. Chlorophyll fluorescence—a practical guide. J Exp Bot. 2000;51:659–68.

    Article  PubMed  CAS  Google Scholar 

  38. Lima-Moro A, Bertoli SC, Braga-Reis I, Moro E, Ziliani RR, Spolaor BO, et al. Photosynthetic activity and OJIP fluorescence with the application of a nutritional solution. Acta Physiol Plant. 2022;44:67.

    Article  CAS  Google Scholar 

  39. Lichtenthaler HK. Chlorophylls and carotenoids: pigments of photosynthetic biomembranes. Methods Enzymol. 1987;148:350–82.

    Article  CAS  Google Scholar 

  40. Tripathi P, Subedi S, Khan AL, Chung YS, Kim Y. Silicon effects on the root system of diverse crop species using root phenotyping technology. Plants. 2021;10:885.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Gunes A, Kadioglu YK, Pilbeam DJ, Inal A, Coban S, Aksu A. Influence of silicon on sunflower cultivars under drought stress II: essential and non-essential element uptake determined by polarized energy dispersive x-ray fluorescence. Commun Soil Sci Plant Anal. 2008;39:1904–27.

    Article  CAS  Google Scholar 

  42. Greger M, Landberg T, Vaculík M. Silicon influences soil availability and accumulation of mineral nutrients in various plant species. Plants. 2018;19:41.

    Article  Google Scholar 

  43. Becker M, Ngo NS, Schenk MKA. Silicon reduces the iron uptake in rice and induces iron homeostasis related genes. Sci Rep. 2020;10:5079.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Sultana R, Kiran A, Sanaullah M, Wakeel A. Exploring the linkage between root system architecture and grain iron content in wheat (Triticum aestivum L). Front Sustain Food Syst. 2023;7:1156728.

    Article  Google Scholar 

  45. Buchelt AC, Teixeira GCM, Oliveira KS, Rocha AMS, de Mello Prado R, Caione G. Silicon contribution via nutrient solution in forage plants to mitigate nitrogen, potassium, calcium, magnesium, and sulfur deficiency. J Plant Nutr Soil Sci. 2020;20:1532–48.

    Article  CAS  Google Scholar 

  46. Farhat N, Elkhouni A, Zorrig W, Smaoui A, Abdelly C, Rabhi M. Effects of magnesium deficiency on photosynthesis and carbohydrate partitioning. Acta Physiol Plant. 2016;38:145.

    Article  Google Scholar 

  47. Tian XY, He DD, Bai S, Zeng WZ, Wang Z, Wang M, Wu LQ, Chen ZC. Physiological and molecular advances in magnesium nutrition of plants. Plant Soil. 2021;468:1–17.

    Article  CAS  Google Scholar 

  48. Ahmed N, Zhang B, Bozdar B, Chachar S, Rai M, Li J, et al. The power of magnesium: unlocking the potential for increased yield, quality, and stress tolerance of horticultural crops. Front Plant Sci. 2023;14:1285512.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Salvucci ME, Crafts-Brandner SJ. Relationship between the heat tolerance of photosynthesis and the thermal stability of rubisco activase in plants from contrasting thermal environments. Plant Physiol. 2004;134:1460–70.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  50. Wijewardene I, Shen G, Zhang H. Enhancing crop yield by using Rubisco activase to improve photosynthesis under elevated temperatures. Stress Biol. 2021;18:2.

    Article  Google Scholar 

  51. Silva DM, Souza KR, Boas LV, Alves YS, Alves JD. The effect of magnesium nutrition on the antioxidant response of coffee seedlings under heat stress. Sci Hortic. 2017;224:115–25.

    Article  Google Scholar 

  52. Hu S, Ding Y, Zhu C. Sensitivity and responses of chloroplasts to heat stress in plants. Front Plant Sci. 2020;11:375.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Thioune EH, McCarthy J, Gallagher T, Osborne B. A humidity shock leads to rapid, temperature dependent changes in coffee leaf physiology and gene expression. Tree Physiol. 2017;37:367–79.

    PubMed  CAS  Google Scholar 

  54. Wang QL, Chen JH, He NY, Guo FQ. Metabolic reprogramming in chloroplasts under heat stress in plants. Int J Mol Sci. 2018;19:849.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Lima RB, dos Santos TB, Vieira LG, Ferrarese Mde L, Ferrarese-Filho O, Donatti L, Boeger MR, Petkowicz CL. Heat stress causes alterations in the cell-wall polymers and anatomy of coffee leaves (Coffea arabica L). Carbohydr Polym. 2013;93:135–43.

    Article  PubMed  CAS  Google Scholar 

  56. Cao B, Ma Q, Zhao Q, Wang L, Xu K. Effects of silicon on absorbed light allocation, antioxidant enzymes and ultrastructure of chloroplasts in tomato leaves under simulated drought stress. Sci Hortic. 2015;194:53–62.

    Article  CAS  Google Scholar 

  57. Kovács S, Kutasy E, Csajbók J. The multiple role of silicon nutrition in alleviating environmental stresses in sustainable crop production. Plants. 2022;11:1223.

    Article  PubMed  PubMed Central  Google Scholar 

  58. El-Ezz SFA, Al-Harbi NA, Al-Qahtani SM, Allam HM, Abdein MA, Abdelgawad ZA. A comparison of the effects of several foliar forms of magnesium fertilization on ‘Superior Seedless’ (Vitis vinifera L.) in saline soils. Coatings. 2022;12:201.

    Article  CAS  Google Scholar 

  59. Whapham CA, Blunden G, Jenkins T, Hankins SD. Significance of betaines in the increased chlorophyll content of plants treated with seaweed extract. J Appl Phycol. 1993;5:231–4.

    Article  CAS  Google Scholar 

  60. Battacharyya D, Babgohari MZ, Rathor P, Prithiviraj B. Seaweed extracts as biostimulants in horticulture. Sci Hortic. 2015;196:39–48.

    Article  CAS  Google Scholar 

  61. Seyed Hajizadeh H, Azizi S, Aghaee A, Karakus S, Kaya O. Nano-silicone and Ascophyllum nodosum-based biostimulant down-regulates the negative effect of in vitro induced-salinity in Rosa Damascena. BMC Plant Biol. 2023;23:560.

  62. Müh F, Zouni A. Structural basis of light-harvesting in the photosystem II core complex. Protein Sci. 2020;29:1090–119.

  63. Caffarri S, Tibiletti T, Jennings RC, Santabarbara S. A comparison between plant photosystem I and photosystem II architecture and functioning. Curr Protein Pept Sci. 2014;15:296–331.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  64. Yamamoto Y. Quality control of Photosystem II: the mechanisms for avoidance and tolerance of light and heat stresses are closely linked to membrane fluidity of the thylakoids. Front Plant Sci. 2016;7:1136.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank Mr. Maethichai Peromros and Ms. Nattawan Hoonphu for their help with the study techniques. A part of this study was supported by Mahidol University (Kanchanaburi Campus) research instrument centre.

Funding

The APC for this publication was supported by central Mahidol University through the Research Management and Development Division.

Open access funding provided by Mahidol University

Author information

Authors and Affiliations

Authors

Contributions

EC: methodology, formal investigation, writing-original draft; PN and TS: methodology; MV: formal investigation; JS and RT: validation, manuscript review, and editing; SC: conceptualization, validation, visualization, manuscript review, and editing proof; and SY: conceptualization, methodology, data curation and analysis, writing-original draft, manuscript visualization, and editing. All authors have given their approval to the publication of the manuscript.

Corresponding author

Correspondence to Suravoot Yooyongwech.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chandon, E., Nualkhao, P., Vibulkeaw, M. et al. Mitigating excessive heat in Arabica coffee using nanosilicon and seaweed extract to enhance element homeostasis and photosynthetic recovery. BMC Plant Biol 24, 1064 (2024). https://doi.org/10.1186/s12870-024-05784-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12870-024-05784-0

Keywords