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Silicon dioxide-nanoparticle nutrition mitigates salinity in gerbera by modulating ion accumulation and antioxidants Cover

Silicon dioxide-nanoparticle nutrition mitigates salinity in gerbera by modulating ion accumulation and antioxidants

Open Access
|Jun 2021

Figures & Tables

Figure 1

Gerbera cv. ‘Teera Kalina’ under different salinity levels [S0 = 0 mM (control), S1 = 5 mM, S2 = 10 mM, S3 = 20 mM and S4 = 30 mM] sprayed with 25 mg · L−1 SiO2-NPs.
Gerbera cv. ‘Teera Kalina’ under different salinity levels [S0 = 0 mM (control), S1 = 5 mM, S2 = 10 mM, S3 = 20 mM and S4 = 30 mM] sprayed with 25 mg · L−1 SiO2-NPs.

Figure 2

TEM (A) and SEM (B) images of SiO2-NPs.
TEM (A) and SEM (B) images of SiO2-NPs.

Figure 3

Effect of SiO2-NPs and salt stress on GPX (A), APX (B) and SOD (C) activity in gerbera cv. ‘Teera Kalina’ leaves. APX, ascorbate peroxidase; GPX, guaiacol peroxidase; SOD, superoxide dismutase.
Effect of SiO2-NPs and salt stress on GPX (A), APX (B) and SOD (C) activity in gerbera cv. ‘Teera Kalina’ leaves. APX, ascorbate peroxidase; GPX, guaiacol peroxidase; SOD, superoxide dismutase.

Figure 4

Effect of SiO2-NPs and salt stress on MDA (A) and H2O2 (B) in gerbera cv. ‘Teera Kalina’ leaves. H2O2, hydrogen peroxide; MDA, malondialdehyde.
Effect of SiO2-NPs and salt stress on MDA (A) and H2O2 (B) in gerbera cv. ‘Teera Kalina’ leaves. H2O2, hydrogen peroxide; MDA, malondialdehyde.

Figure 5

Pearson correlation analysis of SiO2-NPs treatment and variable trait relationship in gerbera plants grown under non-saline and different saline conditions. Heatmap of Pearson correlation coefficient (r) values of variable traits, where the coloured scale indicates the positive (blue) or negative (red) correlation and the ‘r’ coefficient values (r = −1.0 to 1.0). The tested variables included are APX, ascorbate peroxidase; Ca2+, calcium; EL, electrolyte leakage; Flower D., flower diameter; Flower No., flower number; GPX, guaiacol peroxidase; H2O2, hydrogen peroxidase; LA, leaf area; Leaf No., leaf number; MDA, malondialdehyde; MSI, membrane stability index; Plant DW, plant dry weight; Plant FW, plant fresh weight; K+, potassium; Pro, proline; Pro, protein; RWC, relative water content; Na+, sodium; Stem D., stem diameter; Stem L., stem length; SOD, superoxide dismutase.
Pearson correlation analysis of SiO2-NPs treatment and variable trait relationship in gerbera plants grown under non-saline and different saline conditions. Heatmap of Pearson correlation coefficient (r) values of variable traits, where the coloured scale indicates the positive (blue) or negative (red) correlation and the ‘r’ coefficient values (r = −1.0 to 1.0). The tested variables included are APX, ascorbate peroxidase; Ca2+, calcium; EL, electrolyte leakage; Flower D., flower diameter; Flower No., flower number; GPX, guaiacol peroxidase; H2O2, hydrogen peroxidase; LA, leaf area; Leaf No., leaf number; MDA, malondialdehyde; MSI, membrane stability index; Plant DW, plant dry weight; Plant FW, plant fresh weight; K+, potassium; Pro, proline; Pro, protein; RWC, relative water content; Na+, sodium; Stem D., stem diameter; Stem L., stem length; SOD, superoxide dismutase.

Effect of SiO2-NPs and salt stress on physiological and biochemical traits of gerbera cv_ ‘Teera Kalina’_

TreatmentsMSI (%)ELRWC

Salinity (mM)SiO2-NPs (mg · L−1)
Control093.13 ± 0.10 a32.92 ± 0.90 fg89.23 ± 0.23 ab
2575.08 ± 0.95 cd31.52 ± 0.72 g90.16 ± 0.13 a
5072.26 ± 0.90 cde31.73 ± 0.44 g89.83 ± 0.82 a
5081.87 ± 0.90 b36.41 ± 0.01 ef86.07 ± 0.16 cd
2577.54 ± 0.90 bc34.07 ± 0.02 fg87.23 ± 0.40 bc
5070.78 ± 0.95 defg33.98 ± 0.02 fg85.56 ± 0.61 cd
10071.46 ± 0.70 defg39.66 ± 0.70 de82.60 ± 0.32 ef
2569.22 ± 0.20 efgh35.75 ± 0.30 f84.63 ± 0.31 de
5071.61 ± 0.80 def39.59 ± 0.90 de81.73 ± 0.90 f
20068.86 ± 0.35 efgh51.44 ± 0.75 b80.83 ± 0.37 fg
2566.41 ± 0.30 efgh45.70 ± 0.90 c82.46 ± 0.75 ef
5065.27 ± 0.90 gh41.50 ± 0.70 d81.03 ± 0.39 fg
30065.59 ± 0.90 fgh60.41 ± 0.40 a67.60 ± 0.24 i
2563.49 ± 0.70 h46.33 ± 0.90 c78.83 ± 0.62 g
5063.73 ± 0.45 h46.23 ± 0.60 c74.24 ± 0.90 h

Composition and concentration of Macro and micro-elements used in modified Hogland solution_

Macronutrientg · L−1Micronutrientmg · L−1
Ca(NO3)2.4H2O0.47H3BO32.86
KNO30.3MnCl2 4H2O1.81
MgSO4 7H2O0.25ZnSO4 7H2O0.22
NH4H2PO40.06Na2MOO4.2H2O0.02
Iron (Fe-EDTA)0.1CuSO4.5H2O0.08

SiO2-NPs properties_

SiO2-NPs
Purity99+%
APS20–30 nm
SSA180–600 m2 · g−1
ColourWhite
MorphologyAmorphous
True density2.4 g · cm−3

Effect of SiO2-NPs and salt stress on morphological parameters of gerbera cv_ ‘Teera Kalina’_

TreatmentsLeaf No.Flower No.Plant fresh weight (g)Plant dry weight (g)

Salinity (mM)SiO2-NPs (mg ·L−1)
Control09.33 ± 0.60 ab1.56 ± 0.20 abc79.33 ± 0.25 a29.33 ± 0.25 a
259.33 ± 0.50 ab1.86 ± 0.03 a79.93 ± 0.05 a29.46 ± 0.45 a
509.00 ± 0.50 abc1.73 ± 0.03 a80.16 ± 0.60 a24.50 ± 1.80 bc
508.83 ± 0.70 abc1.52 ± 0.20 abc77.73 ± 0.15 abc3.12 ± 1.70 f
259.16 ± 0.90 ab1.86 ± 0.03 a78.90 ± 0.25 ab25.90 ± 1.10 ab
508.83 ± 0.50 abc1.70 ± 0.05 ab77.23 ± 0.20 abcd24.33 ± 1.30 bc
1007.83 ± 0.40 abc1.21 ± 0.10 cde73.93 ± 0.75 bcdef18.26 ± 2.10 de
259.66 ± 0.95 a1.63 ± 0.03 ab75.96 ± 0.60 abcde21.16 ± 0.90 cd
508.16 ± 0.35 abc1.33 ± 0.15 bcd70.03 ± 0.90 ef18.63 ± 0.30 de
2007.16 ± 0.30 abc0.98 ± 0.04 def71.83 ± 0.10 def20.83 ± 0.45 cd
257.66 ± 0.75 abc1.20 ± 0.10 cde72.80 ± 0.45 cdef22.33 ± 0.90 bcd
507.50 ± 0.25 abc1.00 ± 0.08 def71.03 ± 0.40 ef26.03 ± 0.40 ab
3006.50 ± 0.60 c0.70 ± 0.05 f64.93 ± 0.90 g15.10 ± 0.45 e
257.66 ± 0.15 abc0.90 ± 0.05 ef71.83 ± 0.90 def16.26 ± 0.60 e
507.00 ± 0.60 bc0.73 ± 0.03 f69.10 ± 0.50 fg16.33 ± 0.30 e

Effect of SiO2-NPs and salt stress on nutrient uptake of gerbera cv_ ‘Teera Kalina’_

TreatmentsCa2+ (g · 100 g−1 FW)K+ (g · 100 g−1 FW)Na+ (g · 100 g−1 FW)

Salinity (mM)SiO2-NPs (mg · L−1)
Control02.38 ± 0.07 cd1.77 ± 0.04 bc0.89 ± 0.02 h
252.69 ± 0.01 b2.33 ± 0.06 a0.64 ± 0.04 i
502.94 ± 0.02 a1.86 ± 0.01 b0.70 ± 0.02 i
502.22 ± 0.04 de1.69 ± 0.02 c1.72 ± 0.03 f
252.42 ± 0.05 c1.71 ± 0.02 c1.24 ± 0.01 g
502.45 ± 0.05 c1.86 ± 0.04 b1.29 ± 0.01 g
1002.11 ± 0.04 e1.23 ± 0.04 e2.28 ± 0.01 d
252.20 ± 0.04 de1.46 ± 0.03 d1.96 ± 0.07 e
502.15 ± 0.08 e1.50 ± 0.05 d2.49 ± 0.03 c
2001.55 ± 0.04 f1.01 ± 0.04 fg2.63 ± 0.06 c
251.59 ± 0.02 f1.28 ± 0.02 e2.21 ± 0.03 d
501.72 ± 0.03 f1.02 ± 0.03 fg2.23 ± 0.04 d
3000.91 ± 0.08 h0.85 ± 0.01 h3.17 ± 0.03 a
251.14 ± 0.06 g1.08 ± 0.05 f2.97 ± 0.05 b
501.31 ± 0.02 g0.93 ± 0.03 gh2.50 ± 0.08 c
DOI: https://doi.org/10.2478/fhort-2021-0007 | Journal eISSN: 2083-5965 | Journal ISSN: 0867-1761
Language: English
Page range: 91 - 105
Submitted on: Jan 15, 2021
Accepted on: Feb 27, 2021
Published on: Jun 26, 2021
Published by: Polish Society for Horticultural Sciences (PSHS)
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2021 Hanifeh Seyed Hajizadeh, Mahsa Asadi, Seyed Morteza Zahedi, Nikoo Hamzehpour, Farzad Rasouli, Murat Helvacı, Turgut Alas, published by Polish Society for Horticultural Sciences (PSHS)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.