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Synthesis, characterization, X-ray structure and in vitro antimycobacterial and antitumoral activities of Ru(II) phosphine/diimine complexes containing the "SpymMe2" ligand, SpymMe2=4,6-dimethyl-2-mercaptopyrimidine.
TYPE Original Research
PUBLISHED 29 July 2024
DOI 10.3389/fpls.2024.1396929
OPEN ACCESS
EDITED BY
Michael Moustakas,
Aristotle University of Thessaloniki, Greece
REVIEWED BY
Muhammad Ahsan Asghar,
Aarhus University, Denmark
Erik Chovanček,
Heinrich Heine University of Düsseldorf,
Germany
Klára Kosová,
Crop Research Institute (CRI), Czechia
*CORRESPONDENCE
Muhammad Asad Naseer
asad@nwafu.edu.cn
Xiaolong Ren
rxlcxl@aliyun.com
Xun Bo Zhou
xunbozhou@gmail.com
†
These authors have contributed equally to
this work
Chlorophyll fluorescence,
physiology, and yield of winter
wheat under different irrigation
and shade durations during the
grain-filling stage
Muhammad Asad Naseer 1,2,3*†, Sadam Hussain 4†,
Ahmed Mukhtar 2,3, Qian Rui 2,3, Guo Ru 2,3, Haseeb Ahmad 1,
Zhi Qin Zhang 1, Li Bo Shi 5, Muhammad Shoaib Asad 2,3,
Xiaoli Chen 2,3, Xun Bo Zhou 1* and Xiaolong Ren 2,3*
1
Guangxi Key Laboratory for Agro-Environment and Agro-Product Safety, Key Laboratory of Crop
Cultivation and Physiology, College of Agriculture, Guangxi University, Nanning, China, 2 College of
Agronomy, Northwest A&F University, Yangling, China, 3 Key Laboratory of Crop Physio-Ecology and
Tillage Science in Northwestern Loess Plateau, Ministry of Agriculture, Northwest A&F University,
Yangling, Shaanxi, China, 4 College of Horticulture, Northwest A&F University, Yangling, China,
5
Sinochem Modern Agriculture (Shandong) Co., Ltd, Jinan, China
RECEIVED 06 March 2024
ACCEPTED 09 July 2024
PUBLISHED 29 July 2024
CITATION
Naseer MA, Hussain S, Mukhtar A, Rui Q,
Ru G, Ahmad H, Zhang ZQ, Shi LB, Asad MS,
Chen X, Zhou XB and Ren X (2024)
Chlorophyll fluorescence, physiology,
and yield of winter wheat under different
irrigation and shade durations during the
grain-filling stage.
Front. Plant Sci. 15:1396929.
doi: 10.3389/fpls.2024.1396929
COPYRIGHT
© 2024 Naseer, Hussain, Mukhtar, Rui, Ru,
Ahmad, Zhang, Shi, Asad, Chen, Zhou and Ren.
This is an open-access article distributed under
the terms of the Creative Commons Attribution
License (CC BY). The use, distribution or
reproduction in other forums is permitted,
provided the original author(s) and the
copyright owner(s) are credited and that the
original publication in this journal is cited, in
accordance with accepted academic
practice. No use, distribution or reproduction
is permitted which does not comply with
these terms.
The uneven spatial and temporal distribution of light resources and water scarcity
during the grain-filling stage pose significant challenges for sustainable crop
production, particularly in the arid areas of the Loess Plateau in Northwest China.
This study aims to investigate the combined effects of drought and shading stress
on winter wheat growth and its physio-biochemical and antioxidative responses.
Wheat plants were subjected to different drought levels— full irrigation (I100),
75% of full irrigation (I75), 50% of full irrigation (I50), and 25% of full irrigation (I25),
and shading treatments — 12, 9, 6, 3 and 0 days (SD12, SD9, SD6, SD3, and CK,
respectively) during the grain-filling stage. The effects of drought and shading
treatments reduced yield in descending order, with the most significant
reductions observed in the SD12 and I25 treatments. These treatments
decreased grain yield, spikes per plant, 1000-grain weight, and spikelets per
spike by 160.67%, 248.13%, 28.22%, and 179.55%, respectively, compared to the
CK. Furthermore, MDA content and antioxidant enzyme activities exhibited an
ascending trend with reduced irrigation and longer shading durations. The
highest values were recorded in the I75 and SD12 treatments, which increased
MDA, SOD, POD, and CAT activities by 65.22, 66.79, 65.07 and 58.38%,
respectively, compared to the CK. The Pn, E, Gs, and iCO2 exhibited a
Abbreviations: IR, irrigation regimes; SD, shading duration; GY, grain yield; GW, grain weight; SPP, spikes
per plant; TKW, thousand kernel weight; MDA, malondialdehyde; SOD, superoxide dismutase; POD,
peroxidase; CAT, catalase; Pn, photosynthetic activity; E, transpiration rate; Gs, stomatal conductance;
iCO2, intercellular CO2 concentrations; Fv/Fm, maximum quantum yield in the dark; qP, photochemical
quenching; and NPQ, non-photochemical quenching.
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decreasing trend (318.14, 521.09, 908.77, and 90.85%) with increasing shading
duration and decreasing irrigation amount. Drought and shading treatments
damage leaf chlorophyll fluorescence, decreasing yield and related physiological
and biochemical attributes.
KEYWORDS
winter wheat, grain-filling, shading, drought, photochemistry, photosynthesis
Introduction
primary reactions of photosynthesis, is a non-invasive tool used in
ecophysiological studies to assess plant responses to environmental
stress (Sommer et al., 2023). The intricate relationships
between fluorescence kinetics and photosynthesis contribute to
our understanding of the biophysical processes underlying
photosynthesis. These processes also impact the composition of
photosynthetic pigments, chloroplast structure, and Pn. Leaf
adaptation to shading during development, particularly in
chloroplasts, involves special biochemical adjustments. Under
shade conditions, leaves contain more chlorophyll by weight but
less per unit leaf area compared to leaves in full sun. Chloroplasts
adapted for efficient photosynthetic quantum conversion have a
higher photosynthetic capacity per leaf area and higher chlorophyll
content, featuring elevated chlorophyll a and b values. Horie et al.
(2006) demonstrated that canopy temperature is lower in shaded
plants than in those exposed to full sun.
Leaves, as the primary photosynthetic organs, are significantly
influenced by light levels. Plants’ capacity to adapt to suboptimal
light conditions relies heavily on leaf characteristics (Li et al., 2010;
Bande et al., 2013; Mauro et al., 2014). Leaf anatomy is impacted by
light, but different species alter their leaf structure in varying ways
(Pang et al., 2019). Relevant morphological changes include
increased leaf area, decreased specific leaf weight (SLW), and a
higher dry weight (DW) of leaves relative to stems or the total plant
DW (Manoj et al., 2019; Angadi et al., 2022). Leaves developed
under reduced sunlight are typically thinner but larger, resulting in
a higher specific leaf area (SLA) (Rozendaal et al., 2006; Feng et al.,
2008; Liu et al., 2016). These changes are likely adaptations to
maximize light and carbon capture in low-light conditions,
reducing the plant’s dry mass per unit leaf area and increasing
the proportion of leaf biomass in the total plant biomass (Nurul
Hafiza et al., 2014).
Our study utilized different shading intervals and irrigation
gradients to quantify yield change under combined drought and
shading conditions. The shading treatments correspond to the
natural light/cloudy conditions during the grain-filling stage of
winter wheat in the loess plateau of China. Meanwhile, the
irrigation treatments correspond with the natural rainfall (mm)
during the grain-filling stage. Our study aimed to (1) quantify the
photochemistry of winter wheat flag leaves during the grain-filling
stage, (2) assess the winter wheat yield reduction due to low light
Food security relies significantly on wheat production, the world’s
most important cereal crop. In the loess Plateau of China, precipitation
is the sole source of irrigation for winter wheat cultivation (Qiu et al.,
2022). This region naturally experiences irregular and inadequate
rainfall (Aixia et al., 2022). The annual rainfall ranges from 400-600
mm, with only 20-30% occurring during the winter wheat growth
period, which is insufficient to meet the crop’s water requirements
(Dong et al., 2019; Li et al., 2019). Furthermore, in China’s rainfed
regions, the annual evaporation rate surpasses 830 mm, resulting in
severe drought conditions throughout the entire growth period of
winter wheat (Zhang et al., 2016). Among the developmental stages of
winter wheat, the filling stage is most vulnerable to drought stress
(Hlavacova et al., 2018; Hussain et al., 2019). In the Loess Plateau of
China, inadequate light due to cloud cover during the grain-filling stage
exacerbates this situation, leading to yield losses in maize (Naseer
et al., 2023).
Compared to a single stress, co-occurring stressors can lead to
differences in plants’ morphological and physiological responses.
Plants subjected to both drought stress (55.2% field capacity) and
low irradiance (PPFD = 500-600 mol m-2 s-1 at noon) did not
exhibit a decrease in transpiration rate (E), stomatal conductance
(gs), or net photosynthetic rate (Pn), unlike plants exposed to
medium or high irradiance (Shafiq et al., 2020). This supports the
facilitation hypothesis (Holmgren, 2000), suggesting that the level
of irradiance in the environment impacts how drought stress affects
plant’s photosynthetic ability. Furthermore, the presence of shade
led to a reduction in the synthesis of reductants such as glutathione
reductase, thioredoxin reductase, and ascorbate when drought
stress and shade co-occurred (Ali et al., 2005; Baier et al., 2005;
Ahmed et al., 2009). More substantial ROS-driven oxidative
damage during drought is associated with reduced reduction
ability (Fatemi et al., 2023). ROS damage leads to various
physiological and metabolic abnormalities in plants (Hussain
et al., 2019).
Light intensity plays a significant role in influencing various
aspects of photosynthesis, including the rate of photosynthesis (Pn),
transpiration rate, stomatal conductance, and light compensation
and saturation points (Li et al., 2007; Ubierna et al., 2013).
Chlorophyll fluorescence, which provides subtle insights into the
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et al., 2014; Hlavacova et al., 2018). Therefore, Z70 was selected as the
treatment stage (Li et al., 2007; Mu et al., 2010). During the grain-filling
stage of winter wheat, irrigation treatments were determined based on
the region’s maximum and minimum historical rainfall values over the
past 10 years. The maximum and minimum precipitation conditions for
the area were identified as 168 mm and 0 mm, respectively (Figure 1).
We divided these into 4 levels, corresponding to natural rainfall
conditions: I100 indicates full irrigation (8.96 L), I75 represents 75%
of full irrigation (6.72 L), I50 represents 50% of full irrigation (4.48 L),
and I25 represents 25% (2.24 L) of total irrigation (8.96 L). These levels
represent the percentage of total irrigation (8.96 L) applied during the
grain-filling stage. Before the application of drought, the soil moisture in
fixed underground columns was kept at 85–90% Field Capacity (FC).
During the same period of irrigation treatments, with intervals of three
days apart, five levels of shading treatment were applied: (1) SD12
(shading for 12 days), (2) SD9 (shading for 9 days), (3) SD6 (shading for
6 days), (4) SD3 (shading for 3 days), and (5) SD0 (0 days shading, CK).
Shading was achieved using black plastic cover. A detachable shed
measuring 12 meters long by 7 meters wide and with a height of 3.5
meters was constructed using scaffolding and black polypropylene
fabric. The fabric extended 2 meters longer at the edge to block
slanting sunlight. During the experiment, the photosynthetic photon
flux density (PPFD) for the regular light treatment was about 150 ± 10
mmol photons m−2 s−1 and a red/far red (R:FR) ratio of 1.2. Under
shading conditions, the PPFD was reduced to 75 ± 10 mmol photons
m−2 s−1 with an R:FR ratio ranging from 0.4 ∼ 0.6.
and drought conditions during the grain-filling stage, and
(3) evaluate the changes in physiological parameters of winter
wheat and their contribution to yield reduction under these
combined stresses.
Materials and methods
Plant materials and experimental design
This experiment was conducted in a greenhouse at the Institute
of Water Saving Agriculture Experimental Station of Northwest
A&F University, Yangling (34°20′N, 108°24′E), China. The
underground soil columns (with a diameter and length of 30 cm
and 3 m, respectively) were filled with a mixture of farmland topsoil
and compost in a 2:1 ratio (w/w). The study was conducted under
waterproof sheds. The dimensions of the shed were 3 m (height) ×
15 m (width) × 16 m (length). Moveable waterproof sheds were
used to manage natural rainfall on rainy days. The experiment was
conducted using a split-plot design with three replications.
Crop management and radiation control
In this study, we used wheat (Triticum aestivum L.) cv. Xinong
979 which was obtained from Jun Hun Seed Company. Ten plants
per column were physically harvested on May 29, 2022, after being
manually planted on October 12, 2021. At the time of seeding, 225
mg kg-1 of nitrogen (from urea) and 75 mg kg-1 of phosphorus
(from diammonium phosphate) were applied. Each soil column was
irrigated with a precisely determined amount of water using pipes
emerging from drums for irrigation application.
The grain-filling stage, identified as Z70 (Zadoks et al., 1974), is
particularly vulnerable to the impacts of drought and shading (Farooq
A
Sampling and measurements
Gas exchange parameters
The gas exchange parameters (rate of net photosynthesis, stomatal
conductance, light intensity, and transpiration rate) were measured
using a portable photosynthesis system LI- 6400XT (LI-COR,
B
FIGURE 1
(A) Average monthly precipitation (mm) during 2011-2020 in the study area (B) Average daily solar radiation (Wm-2) during the growth period in
2011-2020.
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phosphate buffer (pH 7.6), 13 mM methionine, 750 mM NBT, 4
mM riboflavin, and 0.1 mM EDTA. The photochemical reduction
of NBT was measured following the procedure of Lei et al. (2006).
Catalase activity was assayed by mixing the reaction mixture
containing 50 mM phosphate buffer (pH 7.0) and 12.5 mM H2O2
with enzyme extract, following the method of (Djanaguiraman
et al., 2009). To estimate POD activity, 50 mM phosphate buffer
(pH 7.0), 16 mM guaiacol, enzyme extract, and 10 mM H2O2 were
added to the reaction mixture. The POD activity was determined as
described by Cakmak and Marschner (1992).
Biosciences, Lincoln, NE, USA). The CO2 concentration in the leaf
chamber was maintained at 380 µmol mol-1, and the photosynthetic
active radiation was set at 1100 µmol m-2 s-1. Observations were
recorded from the flag leaves between 9:00 to 11:00 AM after 12 days of
shading duration during the grain-filling stage (12 days after Z70)
(Urban et al., 2018) Three plants from each soil column were selected,
and their flag leaves were tagged for these measurements.
Chlorophyll fluorescence measurements
Chlorophyll fluorescence was measured using Fluor Technologia
software (Fluor Images, United Kingdom). Three fully expanded leaf
samples from each column were collected and immediately preserved
in plastic bags placed in an ice box to prevent exposed to direct light.
The samples were then analyzed using a fluorescence analyzing device
with the mentioned software. We examined the maximum quantum
yield in the dark (Fv/Fm), quantum yield, photochemical quenching
(qP), and non-photochemical quenching (NPQ) using the FluorImager
software, Technologia LTD (Hussain et al., 2019).
Statistical analysis
Data were analyzed using two-way analysis of variance
(ANOVA) to assess the effects of drought and shading
treatments. This analysis was conducted using R-software
(Version; 4.1.0) with the support of the agricolae package
(Version 1.3-5) to confirm variability. The Tukey HSD test was
used to quantify differences between treatments at a 5% probability
level. Data representation and illustration were performed using
Origin software. Pearson correlation analysis was conducted using
the pandas package (cluster map) in Python 3.12 to examine
relationships among the studied parameters.
Grain yield and yield components
Twenty spikes per column were harvested at maturity and
threshed to separate the grains from the straw. The number of
kernels per spike was counted, and 1000 grains were counted and
weighed. Five tillers were randomly selected in each soil column to
measure plant height using a meter rod. Spike length (distance from
the base to the end of the spike) was measured with a ruler.
Additionally, three plants were randomly selected from each
column to record the grain yield.
Results
Effect of shading and drought stress on gas
exchange parameters
The irrigation and shading treatments significantly affected the
photosynthetic activity (Pn), transpiration rates (E), stomatal
conductance (Gs), and intercellular CO2 concentrations (iCO2)
(Supplementary Table S1). The interactive influence was also
significant for these traits (Figures 2, 3). Pn, E, Gs, and iCO2
showed a decreasing trend with increasing shading duration and
decreasing irrigation amount, with the lowest values observed under
conditions of high-duration shading and minimum irrigation
supply conditions (I25). Shading for 12 days and 75% irrigation
reduction demonstrated a significant decrease of 318.14, 521.09,
908.77, and 90.85% in Pn, E, Gs and iCO2, respectively, as
compared with no shading and full irrigation.
Malondialdehyde contents and antioxidant
enzyme activities
Three flag leaf samples from each column were taken and
preserved in liquid nitrogen after 12 days of shading treatment.
These samples were stored in the refrigerator at -80°C. Leaf
malondialdehyde (MDA) contents, an index of lipid peroxidation,
were determined using the method described by (Cakmak and
Marschner, 1992) with slight modifications. 500 mL of supernatant
from the MDA reaction mixture (containing 0.65% (w/v)
thiobarbituric acid in 20% trichloroacetic acid) was heated for 30
min and then quickly chilled to halt the reaction. The mixture was
then centrifuged at 10,000g for 10 min. The absorbance of the
mixture was measured at 532 nm, and non-specific absorption was
accounted for by subtracting the absorbance at 600 nm.
For the determination of superoxide dismutase (SOD), peroxidase
(POD), and catalase (CAT) activities, 0.2 g frozen leaf tissues were ground
in 5 mL of 0.1 mol L–1 Tris-HCl buffer (pH 7.8) containing 1% polyvinyl
pyrrolidone, 1 mmol L–1 EDTA, and 1 mmol L–1 dithiothreitol. The
homogenatewascentrifugedat18000gfor20minat4°C.Thesupernatant
was subsequently used to measure enzyme activities.
For the determination of SOD activity, the reaction mixture
contained 0.2 mL of the enzyme solution mixed with 50 mM
Frontiers in Plant Science
Effect of shading and drought stress on
chlorophyll fluorescence
Irrigation intervals and shading duration, both individually and
interactively, significantly (P<0.05) influenced chlorophyll
fluorescence (Supplementary Table S1) (Figures 4, 5). The quantum
yield, qP, NPQ, and Fv/Fm decreased in descending order with
increasing irrigation intervals and shading duration. The maximum
reduction in these traits was recorded under shading for 12 days and
25% irrigation, with reductions of approximately 26.82%, 40.83%,
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A
B
FIGURE 2
Effect of shading durations on (A) stomatal conductance and (B) intracellular CO2 concentration of wheat under different irrigation conditions (100,
75, 50 and 25% irrigation). The values represent the mean ± standard error, and bars sharing similar letters for a parameter indicate non-significant
(p<0.05) differences.
with reductions of 160.67% in spikes per plant, 248.13% in spikelets
per spike, 28.22% in 1000-grains weight and 179.55% in grain yield,
compared to the full irrigation and no shading treatment (Table 1).
201.56%, and 105.05% in quantum yield, qP, NPQ, and Fv/Fm,
respectively, compared to the full irrigation and no shading treatment.
Effect of shading and drought stress during
grain filling on yield and yield parameters
of winter wheat
Effect of shading and drought stress on
antioxidants and
malondialdehyde contents
The stress treatments had a significant effect, i.e., irrigation
intervals, shading durations, and their interactions, on yield and
yield-related traits. These traits decreased in descending order with
increasing irrigation interval and shading duration (Table 1). The
maximum reduction in these traits was recorded in plants exposed
to shading for 12 days and supplemented with only 25% irrigation,
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The antioxidant activities (SOD, POD and CAT) were significantly
different for shading duration (SD), irrigation and combined shading
and irrigation (SD×I) treatments (Figures 6, 7). SOD, POD, and CAT
activities, increased with reduced irrigation amounts and longer shading
durations. Compared with full irrigation and no shading treatment, a
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A
B
FIGURE 3
Effect of shading duration on (A) photosynthesis, and (B) transpiration rate of wheat under different irrigation conditions (100, 75, 50 and 25%
irrigation). The values represent the mean ± standard error, and bars sharing similar letters for a parameter indicate non-significant
(p<0.05) differences.
75% reduction in irrigation and 12 days of shading increased SOD, POD,
and CAT activity by 66.79, 65.07 and 58.38%, respectively. However, the
increase in MDA contents was not significant for IR, SD, and IR×SD
treatments (Supplementary Table S1).
activities. Likewise, iCO2, Gs, and E were strongly positively correlated
with each other, as well as with chlorophyll fluorescence, gas exchange,
and yield traits, but had a strong negative correlation with antioxidant
activities. SOD showed a strong positive correlation with POD and
CAT, while exhibiting a strong negative correlation with gas exchange
traits, chlorophyll fluorescence, and yield-related traits.
Overall, gas exchange traits, chlorophyll fluorescence, and yieldrelated traits had a significantly strong correlation with each other.
Furthermore, principal component analysis was conducted using
recorded data on gas exchange, photosynthetic traits, and yield
attributes. It was noted that PC1 captured about 77.1% of the inertia
of the data and was strongly related to CAT, SOD, and POD activity
(Figure 9), indicating that antioxidant activities accounted for seedlings’
responses to irrigation and shading treatments. PC2 described only
Correlation analysis and principal
component analysis
The chlorophyll fluorescence, gas exchange parameters,
antioxidant activities, and yield traits were significantly correlated
under irrigation and shading treatments (Figure 8). Pn had a strong
positive correlation with iCO2, Gs, E, and yield traits (SPP, KPS, TKW
and yield) while showing a strong negative correlation with antioxidant
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A
B
FIGURE 4
Effect of shading durations on (A) quantum yield, and (B) Non-Photochemical quenching (NPQ) of wheat leaves under different irrigation conditions
(100, 75, 50 and 25% irrigation). The values represent the mean ± standard error, and bars sharing similar letters for a parameter indicate nonsignificant (P<0.05) differences.
6.1% of the variance and was mainly determined by gas exchange and
chlorophyll fluorescence. The comprehensive model of the change in
photosynthetic activity, antioxidant activities, photochemical efficiency
and yield due to combined effect of shading and drought on winter
wheat is shown in (Figure 10).
different shading durations as drought stress severity increased
(Hussain et al., 2019a). Due to its sensitivity and utility,
chlorophyll fluorescence is a crucial indicator of photosynthetic
efficiency and plant responses to environmental variables (Dai et al.,
2009). Reduced electron flow through PSII is typically associated
with decreased photosynthetic capacity (Yao et al., 2017a). Previous
studies have shown that crops grown in shaded conditions (Hussain
et al., 2019a; Hussain et al., 2019b) as well as under drought stress
tend to exhibit lower values of quantum yield, effective quantum
yield of photosystem (PSII), photochemical quenching (qP), and
electron transport rate (ETR) (Mafakheri et al., 2010; Abid et al.,
2017; Mathobo et al., 2017).
According to the findings, the impact on the photosynthetic
electron transport chain and leaf water loss reduced the
Discussion
Gas exchange and
photochemical reactions
Consistent with previously published studies, we observed a
significant reduction in quantum yield, Fv/Fm, qP and NPQ under
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A
B
FIGURE 5
Effect of shading durations on (A) Photochemical quenching, and (B) Fv/Fm of wheat leaves under different irrigation conditions (100, 75, 50 and
25% irrigation). The values represent the mean ± standard error, and bars sharing similar letters for a parameter indicate non-significant
(P<0.05) differences.
shade) than other treatments (Figure 5). Due to its sensitivity to stress,
chlorophyll fluorescence can reliably represent changes in
photosynthesis under drought and shade stress. According to
Naramoto et al. (2006), protein phosphatases are thought to
dephosphorylate LHCII (the light-harvesting chlorophyll protein) in
situations of decreasing light intensity (shading conditions), causing the
mobile light receptor antennae to revert to PSII (Naramoto et al., 2006;
Strasser et al., 2010). Due to the overstimulation of PSII, leading to a
shift in the mobile antennae, the efficiency of total electron transport is
higher in shaded conditions than in full sunshine. Under field
conditions, where plants typically experience both water stress and
high light levels, down-regulated photosynthesis occurs due to the
interaction between water stress and excessive light (Rakic et al., 2015).
photorespiration rate as shade intensity or duration decreased.
Notably, the changes in Pn and Gs were closely linked to the light
level (Yao et al., 2017b). Conversely, the photosynthesis rate of
shaded leaves decreased due to the reduced solar radiation and
increased diffuse light (Ping et al., 2015). Previous reports indicate
that stomatal limitation is the primary factor causing lower
photosynthesis during drought (Silva et al., 2013).
Results showed that limited irrigation decreased the maximum
photochemical efficiency of PSII (Fv/Fm), the probability of electron
transport beyond QA (1-VJ), and the ratio of (1-VI)/(1-VJ), which
express the efficiency with which an electron from the intersystem
electron carriers moves to electron acceptors at the PSI acceptor side.
This reduction was more pronounced under the control treatment (no
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TABLE 1 Effect of shading durations on spikes per plant, grains per spike, 1000-grain weight, and grain yield of winter wheat under different
irrigation regimes.
Shading durations
(SD)
(days)
Irrigation
regimes (IR)
100
75
50
25
1000 grain
weight
(g)
Spikes per plant
(number)
Grains per spike
(number)
12
19.55 ± 0.69c-h
19.33 ± 2.52c-e
42.53 ± 0.27c-e
16.1 ± 0.351b-e
9
21.32 ± 0.87c-f
23.00 ± 2.65b-d
42.95 ± 0.07c-e
17.2 ± 1.05a-c
6
23.09 ± 0.43bc
25.00 ± 2.00a-c
43.68 ± 0.29bc
16.86667 ± 0.81a-d
3
27.70 ± 3.16b
29.00 ± 2.65a
46.41 ± 0.36ab
18.43667 ± 0.42ab
0
34.20 ± 3.54a
28.67 ± 2.52ab
47.06 ± 0.28a
19.01667 ± 0.34a
12
19.88 ± 1.27c-h
11.33 ± 1.15gh
40.28 ± 0.36e-g
14.14333 ± 1.48ef
9
21.82 ± 0.73c-e
13.00 ± 2.0f-h
40.89 ± 0.20def
15.77333 ± 1.51bcde
6
24.03 ± 1.82bc
15.67 ± 1.15e-g
41.29 ± 0.05c-f
14.30333 ± 0.92def
3
27.90 ± 1.02b
17.67 ± 1.15d-f
42.07 ± 0.12c-f
15.81333 ± 1.34bcde
0
35.66 ± 5.50a
18.00 ± 1.73d-f
42.34 ± 0.01c-e
15.80667 ± 0.65bcde
12
13.52 ± 0.13i
11.33 ± 0.58gh
40.35 ± 1.52e-g
9.733333 ± 0.06gh
9
15.02 ± 0.55g-i
13.33 ± 0.58f-h
37.95 ± 0.06gh
13.73333 ± 0.47f
6
16.14 ± 0.04e-i
8.67 ± 1.53h
41.55 ± 2.54c-f
12.26 ± 1.49fg
3
19.67 ± 2.44c-h
13.67 ± 1.53e-h
43.58 ± 1.00cd
12.4 ± 1.3fg
0
22.54 ± 0.37b-d
13.00 ± 2.65f-h
46.43 ± 1.00ab
14.74333 ± 0.56cdef
12
13.12 ± 0.63i
8.33 ± 1.15h
36.70 ± 1.23h
6.8 ± 0.62ij
9
14.19 ± 0.50hi
12.67 ± 1.15f-h
37.31 ± 1.16h
7.526667 ± 0.67hij
6
15.78 ± 0.44f-i
10.67 ± 1.53gh
37.69 ± 1.13gh
6.533333 ± 0.15j
3
17.09 ± 0.77d-i
14.67 ± 1.15e-g
37.25 ± 0.05h
8.466667 ± 0.40hij
0
20.64 ± 1.37c-g
15.33 ± 3.79e-g
39.45 ± 0.85f-h
9.45 ± 0.13hi
Grain yield
Analysis of variance
LSD (p< 0.05)
Spikes/plant
Kernels/spike
-16
-16
1000-grain weight
-16
Grain yield
IR
(***) <2 × 10
(***) <2 × 10
(***) <2 × 10
(***) <2 × 10-16
SD
(***) <2 × 10-16
(***) 8.67 × 10-10
(***)6.06 × 10-14
(***) 1.04 × 10-9
IR×SD
(*)0.018
(*) 0.0134
(***)6.35 × 10-6
(*) 0.048
IR, irrigation regimes; SD, shading durations (days); (***), p < 0.001; (**), p< 0.01; (*), p< 0.05; (ns), non-significant. Values represent means ± standard error. Means sharing similar letters for a
parameter indicates non-significant (P<0.05) differences.
and results in oxidative damage to DNA, protein, and
chlorophyll pigments, ultimately causing cell death (Naseer
et al., 2022). In response to oxidative stress, plants produce a
complex array of antioxidant enzymes such as SOD, POD, and
CAT. These enzymes prevent uncontrolled oxidation by ROS
and maintain a balance between ROS production and removal,
which is essential for the optimal functioning of photosynthesis
(Foyer, 2018). We found that enzymatic activity was
substantially higher in shaded conditions compared to full
light. Additionally, increasing auxin levels under simultaneous
shade and drought stress enhanced antioxidant enzymatic
activity (Duan et al., 2005). Moreover, as drought stress
intensifies, plants under shade stress increase their synthesis of
antioxidants to control their redox balance, thus mitigating the
severe consequences of drought stress (Asghar et al., 2020).
Light enhances evaporation and dehydrates the leaves, and it can also
directly induce photoinhibition, which is the temporary damage to
proteins in the photosynthesis reaction centers (Yamazaki et al., 2011).
Both evaporation and photoinhibition can reduce plant photosynthetic
activity. In an experiment, Li and Ma (2012) found that direct
photoinhibition of light on dehydrated apple tree leaves was the
primary cause of decreased PSII activity.
Antioxidant enzyme activity and
ROS generation
Drought and shade conditions cause oxidative stress in
plants, leading to increased ROS generation and inducing lipid
peroxidation. This process damages the plant’s cell membrane
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Naseer et al.
10.3389/fpls.2024.1396929
A
B
FIGURE 6
Effect of shading durations on (A) malondialdehyde (MDA) and (B) superoxide dismutase (SOD) of wheat under different irrigation conditions (100, 75,
50 and 25% irrigation). The values represent the mean ± standard error, and bars sharing similar letters for a parameter indicate non-significant
(P<0.05) differences.
combination of shade and water stress (Figure 4). The values for
Fv/Fm and quantum yield were higher in the control treatment
(no shade) when plants received full irrigation. However, NPQ
was still greater in the shading treatment, even under full
irrigation conditions. As longer shade durations (SD12) were
imposed, changes in the photorespiration rate suggested
that more photosynthetic electrons were partitioned to
photorespiration during water deficiency stress. Only a minimal
amount of light energy is used for photosynthesis during drought
stress (closed stomata and subsequent secondary light stress due
to a lack of CO2), and nearly all of the available energy must be
securely disposed of. Photorespiration can sustain the Calvin cycle
when CO 2 availability restricts photosynthesis by making
Partitioning of absorbed light energy
and photorespiration
Our results illustrate a reduction in the quantum yield of PSII
under limited irrigation compared to full irrigation and across all
shading treatments, as well as a decrease in the capture efficiency
of excitation energy (Fv/Fm) (Figure 5). Notably, when shade was
provided throughout the entire growing season, as opposed to
previous shading treatments, the values of quantum yield and Fv/
Fm exhibited a significant decrease (Figure 5). This decrease is
likely attributed to the longer duration of shade exposure and
lower irrigation levels. Furthermore, the non-photochemical
quenching (NPQ) experienced a significant decrease due to the
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A
B
FIGURE 7
Effect of shading durations on (A) peroxidase (POD) and (B) catalase (CAT) of wheat under different irrigation conditions (100, 75, 50 and 25%
irrigation). The values represent the mean ± standard error, and bars sharing similar letters for a parameter indicate non-significant
(P<0.05) differences.
response involves the adaptation of photosynthesis in shaded
leaves that persist on the plant until monocarpic senescence.
phosphoglycerate available (Suorsa and Aro, 2007). Nonetheless,
it should be noted that the rate of leaf water loss was the main
factor controlling photorespiration in stressed plants (Corpas
et al., 2001).
The reduced stomatal density, leaf thickness, cross-sectional
size of the vascular bundle, and contact area of the bundle
sheath cells (Baldi et al., 2012) may contribute to reduced
photosynthetic capability under shading conditions (Sultan,
2000). Modifications in leaf anatomy, morphology, physiology,
and function can decrease photosynthesis. The physiology of
leaves responds to shade in two ways: lower canopy leaves may
age rapidly in intense shade conditions before the whole plant
undergoes monocarpic senescence. Alternatively, another
Frontiers in Plant Science
The facilitative effect of shading under
drought conditions
Interestingly, some studies have also reported that under shaded
conditions, as opposed to full light, the rate of Pn increased
significantly. This findings indicate a beneficial effect of shade
under drought conditions, supporting the facilitation theory
(Holmgren, 2000; Quero et al., 2006). Several processes may
contribute to the facilitative impact of shade under drought stress.
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FIGURE 9
PCA (principal component analysis) of photosynthetic activity,
chlorophyll fluorescence, malondialdehyde contents, antioxidants
enzymes and yield parameters.
FIGURE 8
Relationships among net photosynthetic rate, antioxidant enzymes,
chlorophyll fluorescence, lipid peroxidation, and grain yield. Pn,
photosynthetic activity; E, transpiration rate; iCO2, intracellular CO2
concentration; Gs, stomatal conductance; SOD, superoxide
dismutase; CAT, catalase; POD, peroxidase; MDA, malondialdehyde;
Yield, grain yield; SPP, spikes per plant; KPS, Kernels per spike; TKW,
thousand kernel weight.
result suggests that the amount of light absorbed by plants exceeded
what was necessary for photosynthesis, a condition exacerbated by
drought (Demmig-Adams and Adams, 1992). Finally, the shadeinduced rise in Pn became more favorable when the water supply
decreased. This phenomenon is attributed to the lower air
temperature in shaded conditions, which reduces the demand for
water for transpiration. Consequently, plants can store more water
and maintain a healthier tissue water status (Valladares and Pearcy,
1997; Prider and Facelli, 2004). These observations, consistent with
First, in light-limited conditions, the sensitivity of gs to drought was
reduced, suggesting that the stomatal inhibition caused by drought
was lessened (Prider and Facelli, 2004). Secondly, as indicated by
reduced Fv/Fm, drought led to moderate photo-inhibitory injury in
the photosystem II of plants grown in full-light conditions. This
FIGURE 10
The comprehensive model of physiological metabolism regulation in winter wheat plants under drought and shading stress. Changing the light
environment and drought conditions regulate the photosynthetic activity, photochemical efficacy, and antioxidant enzyme activities to adapt the
environmental stress. The distribution and regulation of photo-assimilates affect the agronomic characteristics, and yield of winter wheat plants.
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Naseer et al.
10.3389/fpls.2024.1396929
XC: Conceptualization, Supervision, Writing – review & editing. XZ:
Funding acquisition, Supervision, Writing – review & editing. XR:
Funding acquisition, Supervision, Validation, Writing – review
& editing.
previous studies, likely elucidate the positive impact of the droughtshade interaction on biomass production by mitigating the adverse
effects of drought.
Conclusions
Funding
Shading and drought stress significantly affected winter wheat’s
physiological, biochemical, and yield traits. Both drought and shading
treatments caused a marked decrease in yield and related traits, with a
positive correlation between yield and associated traits such as spikes
per plant, grains per spike, and 1000-grain weight. Furthermore,
shading and drought affected physiological and biochemical
characteristics, with values decreasing values as stress intensity
increased. These reductions in physiological and biochemical traits
ultimately led to a substantial decrease in winter wheat yield. Shading is
a common abiotic stress in crop cultivation, significantly impacting
crop productivity. Unfortunately, this stress has often been overlooked,
despite its detrimental effects on crop growth, especially in
intercropping systems and high-density monocropping systems,
where crops frequently encounter shade throughout their lifespan.
Plants employ numerous intricate biochemical, physiological, and
molecular mechanisms to adapt to shade stress. Recent
advancements in biotechnology have been instrumental in
elucidating how plants respond to shade stress. However, further
research is needed to fully explore these techniques. Identifying
essential genes, proteins, metabolites, and other factors is possible
using contemporary computational and systems biology technologies.
The author(s) declare financial support was received for the
research, authorship, and/or publication of this article. This study
was supported by the National Natural Science Foundation of
China (Water Regulation Mechanism and Principle of Drought
Resistance and Yield Enhancement in the Rhizosphere of Dryland
Winter Wheat, No. 31871580) and the National 14th Five-Year
Plan of China (Organic Dryland Farming Plateau Area in
Shaanxi Province for Carbon Enhancement and Expansion and
Efficient Water Use Technology Model and Application,
No. 2021YFD1901102).
Conflict of interest
Author LS was employed by the company Sinochem Modern
Agriculture (Shandong) Co., Ltd.
The remaining authors declare that the research was conducted
in the absence of any commercial or financial relationships that
could be construed as a potential conflict of interest.
The reviewer MA declared a past co-authorship with the
authors MA, SH, QR, CX, and RX to the handling editor.
Data availability statement
Publisher’s note
The original contributions presented in the study are included
in the article/Supplementary Material, further inquiries can be
directed to the corresponding author/s.
All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their affiliated organizations,
or those of the publisher, the editors and the reviewers. Any product
that may be evaluated in this article, or claim that may be made by its
manufacturer, is not guaranteed or endorsed by the publisher.
Author contributions
MN: Conceptualization, Data curation, Formal analysis,
Methodology, Software, Writing – original draft, Writing – review &
editing. SH: Validation, Writing – review & editing. AM: Writing –
review & editing. QR: Writing – review & editing. GR: Writing – review
& editing. HA: Writing – review & editing. ZZ: Writing – review &
editing. LS: Writing – review & editing. MA: Writing – review & editing.
Supplementary material
The Supplementary Material for this article can be found online
at: https://www.frontiersin.org/articles/10.3389/fpls.2024.1396929/
full#supplementary-material
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