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. 2024 Sep 25;19(9):e0310252. doi: 10.1371/journal.pone.0310252

Response of blueberry photosynthetic physiology to light intensity during different stages of fruit development

Jia Long 1, Tianyu Tan 2, Yunzheng Zhu 1, Xiaoli An 1, Xinyu Zhang 1, Delu Wang 1,*
Editor: Sajid Ali3
PMCID: PMC11423972  PMID: 39321160

Abstract

To investigate the response of blueberry photosynthetic physiology to different light intensities during different stages of fruit development. In this study, four light intensity treatments (25%, 50%, 75% and 100% of full light) were set up to study the change rule of photosynthetic pigment content and photosynthetic characteristics of ’O’Neal’ southern highbush blueberry leaves during the white fruiting stage (S1), purple fruiting stage (S2) and blue fruiting stage (S3) under different light intensity environments, and to explore the light demand and light adaptability of blueberry during different developmental stages of the fruit. The results showed that the chlorophyll and carotenoid contents of blueberry leaves showed an increasing trend with decreasing light intensity at all three stages of fruit development. The total chlorophyll content of blueberry leaves at 25% light intensity increased by 76.4% compared with CK during the blue fruiting stage; the maximum net photosynthetic rate (Pmax), light compensation point (LCP), light saturation point (LSP), rate of dark respirations (Rd), inter-cellular CO2 concentration (Ci), stomatal conductance (Gs), transpiration rate (Tr), net photosynthesis rate (Pn), and chlorophyll a/b showed a decreasing trend with decreasing light intensity. The Pn of blueberry leaves was highest under full light conditions at all three stages, and the Pn at 25% light intensity decreased by 68.5% compared with CK during the white fruiting stage Reflecting the fact that blueberries can adapt to low-light environments through increases in chlorophyll and carotenoids, but reduced light intensity significantly inhibited their photosynthesis. The photosynthetic physiology of blueberry showed a consistent pattern at all three stages, but there were some differences in the changes of photosynthetic parameters at different stages. The results of the study can provide theoretical references for the selection of sites and density regulation in blueberry production.

1 Introduction

Photosynthesis is the basis of plant growth and development, and is the most important factor constituting productivity, and the photosynthetic performance of plant leaves is positively correlated with production capacity [1]. Light intensity, as one of the main factors affecting plant photosynthesis, influences the activity of photosynthetic carbon assimilating enzymes, the photoactive opening of stomata, the accumulation of metabolites, and the composition of cytochromes. All plants have their own optimal range of light intensity for growth, and too high or too low light intensity will affect plant morphology and photosynthetic physiology [2]. Photoinhibition often occurs when light intensity is too high, reducing photochemical efficiency and even causing damage to the photo-oxidation system [3]. In addition, low light intensity also affects photosynthesis, severely limiting plant growth and even death [4]. Plants of different species and genotypes have different ranges of adaptation to light intensity and have evolved with a variety of adaptive strategies to minimize the potential damage caused by light stress [5]. Plants can increase light utilisation by lowering the light saturation point and light compensation point to reduce direct absorption of light energy and by lowering stomatal conductance, transpiration rate and intercellular CO2 concentration [8, 9].

Plants can also influence photosynthesis through photosynthetic pigments, which include chlorophyll and carotenoids that are primarily involved in the absorption, transfer, and conversion of light energy. Chlorophyll a is a reaction center pigment that absorbs long-wave light, mainly red light, and emits electrons to two photosystems, P680 and P700, after capturing light energy. Chlorophyll b is a light-trapping pigment that mainly absorbs short-wave light, mainly blue light, and transfers the captured energy to chlorophyll a [6]. Carotenoids help chlorophyll b absorb blue light [7]. Under low light conditions, plants can improve their light utilization capacity and thus better adapt to different light intensities through changes in photosynthetic pigment content [7].

It has now been shown that photosynthetic pigments such as chlorophyll in blueberries increase with decreasing light intensity and photosynthetic parameters such as photosynthetic rate decrease with decreasing light intensity [810]. The white, purple and blue fruiting stages are three critical stages for the development of blueberry fruit. However, the response of blueberry photosynthetic physiology to light intensity during different fruit development stage is unknown. Therefore, the study of the effects of light intensity on photosynthetic pigments and photosynthetic characteristics of blueberry during different fruit development stages aims to grasp the light requirements for blueberry fruit growth and development, and to provide a scientific basis for the selection of blueberry stand and density regulation in actual production.

2 Materials and methods

2.1 Overview of the test site

The experimental site was located in the experimental nursery of the College of Forestry, South Campus of Guizhou University, Huaxi District, Guiyang City, with an elevation of 1159 m, longitude of 104°34′E、latitude of 26°34′N, and a humid and moderate climate in the central subtropics. The annual maximum temperature is 39.5°C, the minimum temperature is -9.5°C, and the annual average temperature is 15.8°C. The annual precipitation is 1229 mm, the average annual relative humidity is 79%, and the total solar radiation is 3567 MJ/m2.

2.2 Test materials

The southern highbush blueberry variety ’O’Neill’, whose growth potential is basically the same in four years, was used as the test material, and the seedlings for the test were transplanted into plastic pots (diameter of the inner mouth of the pot was 26.5cm, diameter of the bottom was 17.5cm, and the height was 19.7cm), with one seedling in each pot, and the humus soil of the pine forests was used as the substrate for the cultivation.

2.3 Experimental design

The experiment was set up with four light intensities (relative light intensity, see Table 1), namely 25% (75% shade)、 50% (50% shade)、 75% (25% shade) and 100% light intensity (0% shade), with 100% light intensity as the control (CK), and three groups of replicates were set up for each treatment, with 10 plants per replicate and randomized zonal group placement. Light intensity was controlled using a photometer and a combination of black shade nets with pin numbers of 2, 3, 4, 6, and 8 pins constructed to measure light intensity using a photometer. The experiment was started after blueberry bloom (April 1st).

Table 1. Actual light intensity corresponding to relative light intensity.

Relative light intensity Actual light intensity(μmol·m-2s-1)
S1 S2 S3
25% 372±34.06Ad 369±29.44Ad 379±28.29Ad
50% 750±31.18Ac 699±24.83Ac 778±30.02Ac
75% 1123±40.99Ab 1094±48.50Ab 1143±36.37Ab
CK 1498±39.26Aa 1456±44.46Aa 1587±37.53Aa

Note: The above table shows the light intensity at 10 a.m. and is measured with a photometer. S1: white fruit stage, S2: purple fruit stage, S3: blue fruit stage. In the table, different uppercase letters indicate significant differences in the same light intensity during different stages, and different lowercase letters indicate significant differences in different light intensity treatments at the same stage (P < 0.05), values represent mean ± standard error.

2.4 Sample collection

After one month of shade treatment, blueberry plants with uniform growth and normal fruiting volume were selected, and five to eight plants were used as the source of one biological replicate sample, 28d (white fruit stage S1), 35d (purple fruit stage S2), and 42d (blue fruit stage S3) after full bloom, Three stages of random sampling within the group to pick the tree periphery by the middle of the canopy of uniform size, growth status is basically the same as the blueberry fruit and functional leaves, each time each sample 30g, three stages of a total of three times sampling. The samples were stored directly in liquid nitrogen and brought back to the laboratory to be stored in a -80°C ultra-low temperature refrigerator for use.

2.5 Indicator measurement methods

2.5.1 Determination of photosynthesis-light response curve

Referring to the method of Gong Zhongzhi [11], the Li-6400 red and blue LED light source was used during the white, purple and blue fruiting stages, and the light intensity was set at 13 levels: 1500, 1300, 1000, 900, 800, 700, 600, 400, 200, 100, 50, 30, and 0μmolm-2s-1. The photosynthetic physiological parameters such as net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs) and intercellular CO2 concentration (Ci) were measured from the top to the bottom of 4–6 mature functional leaves, and the linear regression analysis was performed between the light intensity (PAR) within 200 μmolm-2s-1 and the Pn value, and the resulting slope was the apparent quantum efficiency.

(1) Fitting of PLR. The PLR (light response curve) was modelled using a single molecular formula [12]:

Pn=Pnmax×[1e(AQY×PAR/Pnmax)]Rd Formula (1)

In the formula: Pn is the instantaneous net photosynthetic rate; Pnmax is the maximum net photosynthetic rate at saturated light intensity; e is a natural constant with a value of about 2.718; AQY is the apparent quantum efficiency; PAR is the photosynthetically active radiation intensity; Rd is the dark respiration rate.

(2) Calculation of LUE, LCP and LSP. The LUE (light energy utilization), LCP (light compensation point) and LSP (light saturation point) were calculated based on the PLR curves: LUE is the ratio of Pn to its corresponding PAR under any light intensity; LCP is the PAR value corresponding to when Pn = 0μmolm-2s-1; LSP is the PAR value corresponding to when Pn reaches 90% of Pnmax; The specific calculation formula is as follows:

LUE=Pn×PAR Formula (2)
LCP=Pnmax×AQY×InPnmax×PnmaxRd Formula (3)
LSP=Pnmax×AQY×InPnmax×0.1PnmaxRd Formula (4)

2.5.2 Measurement of photosynthetic parameters

During the three stages of fruit development, we chose a sunny and windless morning from 8:00 a.m. to 12:00 p.m., and used the Li-6400 red and blue LED light source with a light intensity of 1000 μmolm-2s-1 to measure the changes of net photosynthetic rate (Pn), intercellular CO2 concentration (Ci), transpiration rate (Tr) and stomatal conductance (Gs) of the leaves during the different developmental stages of the fruits. Three plants were measured for each treatment, and three fixed leaves were measured for each plant, and the stable values were read three times for each measurement, and the mean values were calculated and analysed.

2.5.3 Determination of chlorophyll content

The 80% acetone method was used to determine the chlorophyll content of the leaves of each treatment: 0.1g of leaf blade (cut into pieces) was extracted with 10 mL of 80% acetone in shade until the leaves were completely whitened by the naked eye, and the absorbance values of the treatments were determined in the UV spectrophotometer at the wavelengths of 663 nm, 645 nm, and 470 nm, respectively.

The chlorophyll content was calculated according to the formula (mg/g):

Chlorophylla:(12.72A6632.59A645)V/(1000W) Formula (5)
Chlorophyllb:(22.88A6454.67A663)V/(1000W) Formula (6)
Carotenoids:(1000A4703.27Ca104Cb)V/(229×1000W) Formula (7)
Totalchlorophyll:(8.05A663+20.29A645)V/(1000W) Formula (8)

In the formula: Ca is the concentration of chlorophyll a; Cb is the concentration of chlorophyll b; V is the volume of the extract; W is the fresh weight of the sample.

2.6 Data analysis

Excel 2016 and Origin 2024 were used for basic data organization, calculation and graphing; SPSS 26.0 software was used for one-way ANOVA and Duncan’s multiple comparisons (P<0.05).

3 Results and analysis

3.1 Effects of different light intensities on photosynthetic pigments in blueberry leaves

As can be seen in Fig 1, light intensity significantly affected the photosynthetic pigment content of blueberry leaves at all three stages. Among the four light intensity treatments, the photosynthetic pigment content of blueberry leaves at all three stages was the lowest in the CK treatment, and its chlorophyll a, chlorophyll b, total chlorophyll, and carotenoids content increased significantly with decreasing light intensity, and the chlorophyll a/b value decreased. The total chlorophyll, carotenoids, chlorophyll a and chlorophyll b contents from the three stages showed that S3 > S2 > S1. The total chlorophyll, carotenoids, chlorophyll a and chlorophyll b contents of blueberry leaves were the highest at 25% light intensity, which increased by 52.6%, 38.0%, 61.6% and 49.5%, respectively, compared with CK at S1, 65.4%, 37.6%, 82.7% and 59.6% respectively, compared with CK at S2, 76.4%, 44.3%, 77.3% and 76.3% respectively, compared with CK at S3. It can be seen that the chlorophyll and carotenoid contents of low light intensity blueberry leaves were relatively high, indicating that low light promotes the synthesis and accumulation of blueberry chlorophyll and carotenoids, and improves the chlorophyll and carotenoid contents of leaves to improve the light capture capacity and the efficiency of light energy utilisation.

Fig 1. Effect of different light intensity on photosynthetic pigment of blueberry leaves during different stages.

Fig 1

Note: In the figure, different uppercase letters indicate significant differences in the same light intensity during different stages, and different lowercase letters indicate significant differences in different light intensity treatments during the same stage (P< 0.05). Bars show standard error. S1: white fruit stage, S2: purple fruit stage, S3: blue fruit stage.

3.2 Effect of different light intensities on photosynthetic parameters of blueberry leaves

As shown in Fig 2, in general, intercellular CO2 concentration (Ci), stomatal conductance (Gs), transpiration rate (Tr), and net photosynthesis rate (Pn) of blueberries showed a decreasing trend with decreasing light intensity at the three stages.

Fig 2. Effects of different light intensity on photosynthetic parameters of blueberry leaves during different stages.

Fig 2

Note: In the figure, different uppercase letters indicate significant differences in the same light intensity during different stages, and different lowercase letters indicate significant differences in different light intensity treatments during the same stage (P< 0.05). Bars show standard error. Ci: intercellular CO2 concentration, Gs: stomatal conductance, Tr: transpiration rate, Pn: net photosynthesis rate. S1: white fruit stage, S2: purple fruit stage, S3: blue fruit stage.

Ci reflects the concentration at the instantaneous atmospheric input in dynamic equilibrium with CO2 utilized by plant cell photorespiration and photosynthesis. As shown in Fig 2(A), Ci increased significantly with decreasing light intensity at S1 (except for CK) and decreased significantly at S2 and S3. Gs refers to the degree of stomatal opening. As shown in Fig 2(B), the Gs at all light intensities at all three stages showed that S3 > S2 > S1, and the Gs at 25% light intensity was the smallest, which was 70.1%, 69.6% and 68.1% lower than that of CK, respectively. At the same Stage, Gs decreased with decreasing light intensity. Tr indicates the amount of water lost per unit of leaf area per unit of time and is commonly used to reflect water utilization and metabolism in the plant. As shown in Fig 2(C), Tr of blueberry decreased significantly with decreasing light intensity at all three stages. Tr at 25%, 50% and 75% light intensities were 65.4%, 56.6% and 43.9% lower than CK at S1, 64.1%, 57.0% and 29.0% lower than CK at S2, and 48.9% and 19.3% lower than CK at S3 for 25% and 50% light intensities, respectively. As Gs decreased, plants inhaled less CO2, which also affected Pn. As shown in Fig 2(D), Pn decreased significantly with decreasing light intensity. Compared with CK, Pn of blueberry leaves at 25%, 50% and 75% light intensities was reduced by 68.5%, 53.8% and 33.0% at S1, 61.5%, 53.6% and 30.6% at S2, and 57.0%, 21.4% and 51.6% at S3, respectively. The results showed that light intensity significantly affected blueberry leaves Pn at all three stages of blueberry fruit growth and development, and it gradually decreased with decreasing light intensity.

3.3 Effects of different light intensities on photosynthetic-light response parameters in blueberry leaves

As can be seen in Fig 3, the photosynthetic-light response parameters of blueberry leaves were significantly affected by light intensity during the three stages of blueberry fruit growth and development, and generally showed a decreasing trend with decreasing light intensity. Among them, the maximum net photosynthetic rate (Pmax), apparent quantum efficiency (AQY), dark respiration rate (Rd), light compensation point (LCP) and light saturation point (LSP) all showed a significant decreasing trend with decreasing light intensity.

Fig 3. Effects of different light intensities on photosynthesis-light response parameters of blueberry leaves during different stages.

Fig 3

Note: In the figure, different uppercase letters indicate significant differences in the same light intensity during different stages, and different lowercase letters indicate significant differences in different light intensity treatments during the same stage (P< 0.05). Bars show standard error. Pmax: maximum net photosynthetic rate, AQY: apparent quantum efficiency, Rd: dark respiration rate, LCP: light compensation point LSP: light saturation point. S1: white fruit stage, S2: purple fruit stage, S3: blue fruit stage.

Specifically, there were significant differences in the performance of each photosynthetic-light response parameter index at different light intensities during different stages of fruit development. LSP, LCP, Pmax, and Rd were lowest in blueberry leaves under 25% light intensity treatment, being 44.0%, 24.8%, 64.1%, and 68.3% lower than CK at S1, 40.3%, 17.5%, 40.8%, and 56.4% lower than CK at S2, 60.3%, 15.6%, 55.4% and 73.3% lower than CK at S3, respectively. It can be seen that blueberries can diminish the LCP, LSP and Rd values under low light intensity environments in order to better utilize the low light for maximally efficient photosynthesis and material accumulation, and at the same time, reduce the consumption of photosynthetically active products to maintain the balance of carbon metabolism in the plant body, so that the plant’s growth and development can be carried out normally.

With the increase of light intensity, Pmax, Rd and LSP showed an increasing trend, and the photosynthetic capacity of blueberry leaves was subsequently enhanced to adapt to the stronger light intensity environment. It can be seen that light intensity significantly affected the photosynthetic characteristics of blueberry leaves, and the Pmax of blueberry leaves in CK treatment was significantly increased with the strongest photosynthetic capacity, while Pmax and Rd were significantly decreased in low light intensity, and the plant consumption was reduced, and the photosynthetic capacity was also reduced.

3.4 Effects of different light intensities on the photosynthetic-light response curve of blueberry leaves

Photosynthetic-light response curves reflect the ability of plants to utilise light intensity. As shown in Fig 4, the net photosynthetic rate (Pn) of blueberry leaves increased with the increase of photosynthetically active radiation intensity (PAR) at all three stages under different light intensity conditions. The increase in Pn gradually slowed down and stabilized after PAR reached 400 μmolm-2s-1, and as PAR continued to increase, the value of Pn decreased slightly at 1000 μmolm-2s-1, The three stages showed consistent trends. During the three stages of fruit development, CK-treated blueberry leaves had the highest net photosynthetic rate, but the different light intensity treatments did not change the trend of the blueberry photosynthesis-light response curves. It is evident that insufficient light intensity affected the photosynthetic capacity of blueberries.

Fig 4. Effects of different light intensities on the photosynthetic-light response curves of blueberry leaves during different stages.

Fig 4

Pn: net photosynthesis rate, PAR: photosynthetically active radiation intensity. S1: white fruit stage, S2: purple fruit stage, S3: blue fruit stage.

4 Discussion

4.1 Decreased light intensity promotes increased photosynthetic pigments in blueberry leaves

Chlorophyll a, chlorophyll b, total chlorophyll and carotenoid contents of blueberry leaves during the three fruit development periods in this study showed an increasing trend with decreasing light intensity. It has been shown that too low a light intensity affects chlorophyll synthesis in plants, and too high a light intensity produces photoinhibition and inhibits chlorophyll synthesis in plants [13]. It has been found that most plants are unable to synthesize chlorophyll in the dark [14]. The chlorophyll content of plant leaves decreases significantly when they are shaded for long periods of time [15]. This is because insufficient light limits the photosynthetic carbon assimilation power and the activity of key enzymes of photosynthesis, resulting in a decrease in the synthesis of chlorophyll in plants.

However, it has also been shown that chlorophyll content increases with decreasing light intensity. In a study on the effect of shade on lingonberry, its chlorophyll content increased with decreasing light intensity [10]. Shade significantly increased the chlorophyll content of summer maize [16], Minnan [17] and dry rice [18]. Studies on sempervirens [19] and gardenia [19] showed that chlorophyll a, chlorophyll b and total chlorophyll of the four species increased continuously with increasing shade and chlorophyll a/b decreased. Chlorophyll content of the two shrubs also increased with increasing shade [20]. Consistent with the results of the study, the leaves of blueberries showed adaptive changes to low-light stress with significant increases in chlorophyll a, chlorophyll b, carotenoids, and total chlorophyll content during the three growth and development stages, which may be a physiological compensation of the plant for the lack of light intensity. The increase in chlorophyll content under shading conditions may be related to the reduction of photo-oxidative damage, the enlargement of basal lamellae in chloroplasts, and the higher degree of basal lamellae stacking under low light conditions [21]. Chlorophyll a mainly absorbs red light, chlorophyll b mainly absorbs blue-violet light, the proportion of blue light increases and the proportion of red light decreases after the shading treatment, and the proportion changes more significantly with the increase of the degree of shading [22]. The differences in the content of chlorophyll a, chlorophyll b and carotenoids were gradually reduced after shading stress, in which chlorophyll b increased the most, and the value of chlorophyll a/b was reduced to less than 3, which is conducive to the absorption and utilization of blue light in low-light environments, and enhances the adaptive capacity of low-light environments, and the increase in the content and proportion of chlorophyll b is conducive to the maintenance of cystoskeletal membrane integrity [23], and to improve the absorption and utilization of light energy [24].

4.2 Diminished light intensity reduces photosynthesis in blueberry leaves

Net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), and intercellular CO2 concentration (Ci) of blueberry leaves during the three fruit development stages in the study generally showed a decreasing trend with decreasing light intensity. It was shown that reduction in light intensity resulted in lower Pn, Gs, Tr and Ci in soybean plants [25]. Studies on pecan seedlings [26], strawberries [27], alfalfa seedlings [28] and apples [29] yielded consistent findings. A study by Yadong Li et al. [30] on photosynthesis and light intensity in dwarf, semi-highbush and highbush blueberries also showed that their Pn increased with increasing light intensity within this light intensity from the light compensation point to within the light saturation point. Under the conditions of this study, photosynthetic rate and stomatal conductance of blueberry leaves increased with increasing light intensity. This supports previous findings that an increase in stomatal conductance causes rapid changes in photosynthetic rate in response to light conditions [31]. There is a linear relationship between Pn and Gs under a wide range of environmental conditions. Transpiration rate (Tr) and intercellular CO2 concentration (Ci) of blueberry leaves also increased with increasing light intensity in this study. This may be due to the increase in stomatal opening at high light intensity, which increases net CO2 assimilation and water vapor exchange, thereby promoting photosynthesis [32].

The maximum net photosynthetic rate (Pmax), light compensation point (LCP), light saturation point (LSP), apparent quantum efficiency (AQY) and dark respiration rate (Rd) of blueberry leaves during the three fruit development stages in the present study showed a decreasing trend with decreasing light intensity. This is consistent with the results of Zhang Zichuan et al. [8] on lingonberry. The study of photosynthetic properties of four species of Ziziphus spp, by Yannan Wang et al. [33] also showed that LCP, LSP and Rd decreased with decreasing light intensity. It is consistent with the conclusion obtained by Zhang J et al. [34] who studied the changes of LSP and LCP, etc. with light intensity in two maple species. Suggests that relatively low LCP and LSP favor more efficient use of light energy by plants in low light intensity environments, thereby increasing organic matter accumulation. Reduced Rd is often considered an adaptive response for plants to cope with shade conditions and maximize carbon benefits, suggesting that plants reduce loss of photosynthetics and maintain carbon metabolism homeostasis by lowering Rd as demonstrated, This was also confirmed in the study of Abies holophylla [35]. AQY is a measure of the efficiency of light energy conversion in photosynthesis that correctly reflects changes in the functioning of the photosynthetic apparatus and the ability of leaves to utilize low light [36]. The greater the AQY, the more pigment-protein complexes the plant is likely to have for absorbing and converting light energy, and the greater its ability to utilize low light [7]. In this study, AQY gradually decreased with decreasing light intensity, which is similar to the findings of Wang Xiaodong [37], which may be due to the decrease in the number of leaves pigment-protein complexes under low light, resulting in the decrease of AQY in blueberry leaves. Under low light conditions, the photosynthetic capacity of leaves is inhibited and destroyed due to low light stress.

5 Conclusion

Four different light intensity treatments had significant effects on the photosynthetic physiology of blueberry. The content of photosynthetic pigments, such as chlorophyll a, increased significantly with decreasing light intensity, and photosynthetic parameters, such as net photosynthetic rate and chlorophyll a/b, decreased significantly. The photosynthetic physiology of the three fruit development stages of blueberry showed similar regularity under different light intensities. Blueberries can adapt to low-light conditions by increasing photosynthetic pigments to improve light energy utilization, but varying degrees of reduced light intensity significantly reduced the photosynthetic efficiency of blueberries. Full light conditions are most favourable to the growth and development of blueberries in all three periods of fruit development. The results show that ’O’Neal’ blueberries are light-loving plants and should be grown in a sunny environment and densely planted in practice.

Supporting information

S1 Data

(XLSX)

pone.0310252.s001.xlsx (45KB, xlsx)

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

This study was funded by the National Natural Science Foundation of China (317602050), and the recipient of the funds was Pro. Delu Wang. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

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PONE-D-24-07873Response of blueberry photosynthetic physiology to light intensity during different stages of fruit developmentPLOS ONE

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Reviewer #1: The manuscript mainly focuses on the role of light intensity during the different stages of blueberry fruit development. The topic is interesting. However, I have following comments/suggestions/questions to improve the manuscript as listed below:

• What is plastic pruning? Authors haven’t added any information about it. How it will be useful in particular context of this manuscript?

• What is the lesson of this manuscript with respect to density control?

• What are the recommendation for the site selection from the results?

• In table 1, add another top-box and mention S1-S3 stages in it.

• Why authors didn’t consider the fruit quality parameters?

• How many plants were kept under each covering?

• Line 93 need correction. “The annual cumulative temperature above 10 ℃ is 4637.5 ℃”

• What was the name of cultivar?

• Statistical analysis need to be revise. In figure 1-a and -b, the statistical groups for S1 (lowercase) are not satisfactory.

• In figure 3, all abbreviations need to be explained in the caption.

• Graph quality can be improved by enhancing the font size.

Reviewer #2: In the manuscript PONE-D-24-07873, the authors investigated response of blueberry photosynthetic physiology to light intensity during different stages of fruit development. It is my opinion that there is some useful information in the manuscript. However, the following points may be considered for improving the quality of this manuscript.

Abstract

The sentence should be improved "To investigate the response of blueberry photosynthetic physiology to different light intensities during different stages of fruit development." Some details, such as the specific percentages of chlorophyll content increase, could be summarized more concisely.

Introduction

Some information is repeated, such as the effects of light intensity on photosynthesis. Some statements, such as "light is the source of energy for photosynthesis in plants," are overly basic and could be omitted or elaborated with specific relevance to blueberries.

How does the light intensity range used in the study compare to the known optimal range for blueberries?

Are there any previous studies specifically on blueberry photosynthetic response to light intensity that could provide a more focused context?

Materials and Methods

The formulas for calculating photosynthetic parameters are presented without sufficient context or explanation for readers who might not be familiar with them. The description of the light intensity treatments could be more concise. How was the relative light intensity verified throughout the experiment?

Were there any steps taken to ensure that this storage method did not affect the chlorophyll or photosynthetic measurements?

Discussion

The discussion mentions that low light intensity affects chlorophyll synthesis negatively but then states that chlorophyll content increases with decreasing light intensity. This contradiction needs to be addressed and clarified. The explanation of stomatal and non-stomatal limitations on photosynthesis is somewhat confusing. It would benefit from a clearer distinction between the two and how each was assessed in this study. The discussion could delve deeper into the potential mechanisms behind the observed changes in photosynthetic parameters and pigment content under different light intensities.

Conclusion

The conclusion could provide more specific recommendations based on the study's findings, such as optimal light conditions for different stages of fruit development.

Editor Comments: The comments and concerns of the Reviewer 1 are very genuine and critical. Please address these comments. The revision will not be the guarantee for acceptance of the article. 

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Reviewer #1: No

Reviewer #2: Yes: Ghulam Khaliq

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PLoS One. 2024 Sep 25;19(9):e0310252. doi: 10.1371/journal.pone.0310252.r002

Author response to Decision Letter 0


16 Aug 2024

Responses to reviewer 1:

1. the information on shaping and pruning has been removed.

2. regarding the suggestion on density control, the conclusion has been revised and pointed out that plants should be reasonably spaced to avoid shading each other.

3. Site selection is recommended to choose sunny and shade-free areas. (Modified conclusions have been noted)

4. The recommendation on Table 1 has been modified.

5. Concerning the fruit quality parameters lack of consideration in this study, our group will further improve it in the future.

6. The article has pointed out 3 sets of replications for each treatment, where each replication is 10 plants, i.e.: 30 blueberry plants for each treatment.

7. The section (line 93) has been amended.

8. The article has indicated that the variety is called 'O'Neill'.

9. the statistical analysis has been revised.

10. All abbreviations in the revised graph have been explained in the title.

11. fonts have been adjusted to improve graphic quality.

Thank you for your valuable suggestions!

Responses to reviewer 2:

1 Abstract

Has been improved to a more concise summary.

2 Introduction

Repetitive information about the introduction has been fixed. The setup of the light intensity range in this study covers a wide range of light intensities and can be illustrative. Few studies have been conducted specifically on the photosynthetic response of blueberries to light intensity, so the context is not as focused.

3 Materials and Methods

The formulas of the revised article on photosynthetic parameters have provided the background. Relative light intensity was controlled with shade nets of different densities. The method of ultra-low temperature storage had less effect on chlorophyll content. Measurements of photosynthetic parameters were determined with a photosynthesizer at the experimental base.

4 Discussion

The discussion mentions that in previous studies: low light intensity has both negative and positive effects on chlorophyll synthesis, while the article points out that in this study low light intensity had a positive effect on chlorophyll synthesis. The question about stomatal conductance has been revised. The reason behind the changes in photosynthetic parameters and photosynthetic pigments under different light intensities has been added.

5 Conclusion

Based on the suggested modifications, the conclusion has indicated the optimum light conditions for different stages of fruit development.

Thank you for your valuable suggestions on this article!

Attachment

Submitted filename: Responses to reviewers.docx

pone.0310252.s002.docx (13.9KB, docx)

Decision Letter 1

Sajid Ali

28 Aug 2024

Response of blueberry photosynthetic physiology to light intensity during different stages of fruit development

PONE-D-24-07873R1

Dear Dr. Wang,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Sajid Ali

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

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4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: After revision, the authors have adequately addressed most of the issues raised during the review process. I am pleased to see that the revised manuscript has significantly improved. With these revisions, I now consider the manuscript to be acceptable for publication. I recommend accepting the manuscript for publication in its current form.

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Rana Naveed Ur Rehman

Reviewer #2: Yes: Ghulam Khaliq

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Acceptance letter

Sajid Ali

15 Sep 2024

PONE-D-24-07873R1

PLOS ONE

Dear Dr. Wang,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

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Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Sajid Ali

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Data

    (XLSX)

    pone.0310252.s001.xlsx (45KB, xlsx)
    Attachment

    Submitted filename: Responses to reviewers.docx

    pone.0310252.s002.docx (13.9KB, docx)

    Data Availability Statement

    All relevant data are within the paper and its Supporting Information files.


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