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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1648079</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The adaptability of soybean photosynthesis to midday high-light duration through CEF-NPQ coupling regulation</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lei</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Xiaoling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Jing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Qi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jingru</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Diwakar</surname>
<given-names>Dhungana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tan</surname>
<given-names>Xianming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Feng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/484973/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Wenyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>College of Agronomy, Sichuan Agricultural University</institution>, <addr-line>Wenjiang, Chengdu</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Sichuan Engineering Research Center for Crop Strip Intercropping System ,Sichuan Agricultural University</institution>, <addr-line>Chengdu</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Key Laboratory of Crop Ecophysiology and Farming System in Southwest, Ministry of Agriculture and Rural Affairs</institution>, <addr-line>Chengdu</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/296510/overview">Weimin Ma</ext-link>, Shanghai Normal University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/342990/overview">Maxwell A. Ware</ext-link>, Free University of Berlin, Germany</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1345138/overview">Imran Khan</ext-link>, Guangdong Academy of Agricultural Sciences (GDAAS), China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3105237/overview">Meiyu Qiao</ext-link>, Henan Academy of Agricultural Sciences, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Feng Yang, <email xlink:href="mailto:f.yang@sicau.edu.cn">f.yang@sicau.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1648079</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Lei, Wu, Gao, Wang, Wang, Diwakar, Tan, Yang and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lei, Wu, Gao, Wang, Wang, Diwakar, Tan, Yang and Yang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>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.</p>
</license>
</permissions>
<abstract>
<p>Fluctuating light (FL) conditions particularly the diurnal alternation between shaded and high-light periods are intrinsic to intercropping systems and impose substantial regulatory challenges on crop photosynthesis. However, the cultivar-specific mechanisms underlying adaptation to such dynamic light environments remain largely unexplored. Here, we examined how the duration of midday high-light exposure modulates the coordination between cyclic electron flow (CEF) and non-photochemical quenching (NPQ) in two soybean cultivars grown under simulated intercropping light regimes. Plants were exposed to morning shade followed by either short (T30) or prolonged (T150, T200) midday high-light treatments. All treatments triggered common photoprotective responses, including increased energy dissipation (DIo/CSm, +18.7&#x2013;22.3%) and reduced electron transport efficiency (ETo/CSm, &#x2212;14.2&#x2013;17.5%). Yet, the cultivars exhibited distinct photoregulatory strategies depending on light duration. The light-adapted cultivar ND12 rapidly established a proton gradient (&#x394;pH; 34.8% faster) and sustained higher PSII efficiency (ETRII, +41.5%) under brief high-light exposure, indicating a preemptive &#x394;pH priming mechanism. In contrast, the light-sensitive GX7 required extended high-light duration (T200) to induce CEF (+60.5%) and plastoquinone pool expansion (+22.0%), suggesting a delayed, duration-dependent adjustment strategy. These cultivar-specific responses ultimately enhanced photosynthetic performance by 34.8&#x2013;52.4% under FL conditions. Our findings offer mechanistic insights into how midday light duration shapes genotype-dependent photosynthetic regulation, providing a physiological basis for optimizing light utilization in intercropping systems.</p>
</abstract>
<kwd-group>
<kwd>intercropping</kwd>
<kwd>photosynthesis</kwd>
<kwd>photoprotection</kwd>
<kwd>cyclic electron flow</kwd>
<kwd>light density</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<counts>
<fig-count count="7"/>
<table-count count="1"/>
<equation-count count="1"/>
<ref-count count="28"/>
<page-count count="12"/>
<word-count count="5152"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Photosynthesis and Photobiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Dynamic light environments profoundly shape crop photosynthesis, growth, and productivity. In natural field conditions, diurnal solar angle changes generate a characteristic triphasic irradiance pattern (&#x201c;low&#x2013;high&#x2013;low&#x201d;), with pronounced midday peaks (<xref ref-type="bibr" rid="B13">Lazzarin et&#xa0;al., 2024</xref>). However, in intercropping systems&#x2014;such as maize&#x2013;soybean&#x2014;this pattern is further modulated by canopy structure (<xref ref-type="bibr" rid="B28">Yang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B14">Li et&#xa0;al., 2023</xref>). Spatial niche differentiation and row configurations create alternating weak&#x2013;strong light environments within the understory, especially during midday, where understory crops experience fluctuating exposure to high irradiance (<xref ref-type="bibr" rid="B18">Raza et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B6">Feng et&#xa0;al., 2024</xref>). These structural light transitions, rather than simple temporal peaks, present a complex and underexplored challenge to photosynthetic regulation.</p>
<p>While light is essential for photosynthesis, both insufficient and excessive irradiance pose constraints on crop productivity. Understory crops often experience suboptimal light before abruptly encountering intense irradiance at midday&#x2014;conditions that can induce photoinhibition, particularly when light levels exceed 1200 &#xb5;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="B27">Yamori, 2016</xref>). Current understanding of photosynthetic light responses largely stems from constant irradiance studies (<xref ref-type="bibr" rid="B4">Dang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B17">Qiang et&#xa0;al., 2024</xref>), which do not capture the rapid transitions and spatial heterogeneity characteristic of intercropped field environments. In multi-row relay systems, midday light penetration may increase 4&#x2013;5-fold depending on cultivar and canopy structure (<xref ref-type="bibr" rid="B5">Fan et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B14">Li et&#xa0;al., 2023</xref>). underscoring the need for mechanistic insights into photosynthetic acclimation under such fluctuating light.</p>
<p>Plants respond to fluctuating light within seconds to minutes by dynamically adjusting biochemical and biophysical processes that regulate light capture and energy dissipation (<xref ref-type="bibr" rid="B22">Tanaka et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B25">Wang et&#xa0;al., 2025</xref>). Photosynthetic electron transport generates a proton motive force (pmf), comprising a proton gradient (&#x394;pH) and membrane potential (&#x394;&#x3a8;), which coordinates energy conversion and protective responses (<xref ref-type="bibr" rid="B12">Kramer et&#xa0;al., 2003</xref>). Cyclic electron flow (CEF) around PSI is a key modulator of pmf, promoting &#x394;pH buildup without net NADPH production&#x2014;thereby balancing ATP demand (<xref ref-type="bibr" rid="B23">Wang et&#xa0;al., 2022a</xref>; <xref ref-type="bibr" rid="B3">Chauhan et&#xa0;al., 2023</xref>) and activating non-photochemical quenching (NPQ) (<xref ref-type="bibr" rid="B9">Goss and Lepetit, 2015</xref>; <xref ref-type="bibr" rid="B20">Slattery et&#xa0;al., 2018</xref>). This feedback system is critical during low-to-high light transitions, where rapid lumen acidification protects PSII and prevents photoinhibition (<xref ref-type="bibr" rid="B2">Armbruster et&#xa0;al., 2017</xref>).</p>
<p>Genotypic variation significantly influences how quickly and efficiently crops acclimate to fluctuating light. In wild-type angiosperms, photoinhibition of PSI often occurs within the first 20 seconds of high-light exposure due to delays in &#x394;pH establishment (<xref ref-type="bibr" rid="B1">Alter et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B19">Sakoda et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B7">Ferroni et&#xa0;al., 2020</xref>). Moreover, while NPQ induction is rapid, its relaxation during HL-to-LL transitions is much slower, creating mismatches in light energy use efficiency (<xref ref-type="bibr" rid="B20">Slattery et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B9">Goss and Lepetit, 2015</xref>). Optimizing both the induction and relaxation kinetics of CEF and NPQ is therefore vital to improving light-use efficiency under naturally fluctuating or structurally induced light regimes.</p>
<p>Despite the recognized role of photosynthetically active radiation (PAR) in plant growth, the mechanistic basis by which soybean cultivars regulate electron transport and photoprotective responses under varying midday light durations remains poorly understood. Soybean(<italic>Glycine max (L.) Merr.</italic>), a facultative short-day crop, is particularly sensitive to light quality and quantity variations. Particularly, how these cultivars coordinate CEF&#x2013;NPQ responses during transitions from low to high light defining feature of intercropped canopies&#x2014;has not been systematically studied. To address this gap, we measured natural light patterns in the field and simulated varying midday high-light durations under controlled conditions. We reveal cultivar-specific strategies in photosystem regulation, &#x394;pH priming, and photoprotective activation, offering novel insights into optimizing photosynthetic performance in intercropping systems.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Plant material and experimental design</title>
<p>Two soybean (Glycine max L.) cultivars with contrasting light response characteristics were used. ND12 is a light-adaptive genotype developed by the Nanchong Academy of Agricultural Sciences (Sichuan, China), characterized by strong photoprotective capacity and rapid response to dynamic light. GX7, developed by the Guangxi Academy of Agricultural Sciences (Guangxi, China), is a light-sensitive genotype that tends to exhibit delayed photosynthetic adjustment under fluctuating light (<xref ref-type="bibr" rid="B8">Gao et&#xa0;al., 2024</xref>). Seeds were germinated in a 1:3 (v/v) sterilized mixture of vermiculite and nutrient soil (Danish Pinstrup Substrate) pre-treated with carbendazim. Plants were grown under controlled conditions at Sichuan Agricultural University (Chengdu, China), with a 12 h light/12 h dark photoperiod, daytime temperature of 25 &#xb0;C, nighttime 22 &#xb0;C, and relative humidity of 60&#x2013;70%. To establish environmentally relevant treatments, we first conducted field measurements of photosynthetically active radiation (PAR) using an LI-191R line quantum sensor (LI-COR, USA). Measurements were made under clear-sky conditions at 1-meter height within the soybean canopy from 09:00 to 18:00, at one-minute intervals across different maize&#x2013;soybean relay intercropping row configurations. The baseline low-light intensity of 150 &#x3bc;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> used outside the midday period was chosen to reflect field conditions observed during morning and late afternoon hours in the canopy. Based on our PAR measurements (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), these periods consistently showed values ranging between 120 and 180 &#x3bc;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>, making 150 &#x3bc;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> an appropriate representative intensity for simulating ambient light levels under relay intercropping. These assessments revealed that midday high-light duration (PPFD &gt;1200 &#xb5;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>) increased significantly in widened row configurations: 400.00% in 2:3 and 566.67% in 2:4 compared to the 2:2 configuration, while maintaining optimal light quality and quantity (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Field light environment and climate light environment simulation. <bold>(A)</bold> Diurnal variations of the photosynthetic photon flux density (PPFD) in the soybean layer under different maize-soybean intercropping configurations (2:2, 2:3, 2:4). <bold>(B)</bold> Experimental light treatments (T30, T150, T200) simulating different configurations. Different letters denote significant differences (P &lt; 0.05) among treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g001.tif">
<alt-text content-type="machine-generated">Graphical figures illustrate photon flux density and midday light duration. Panel A shows a line graph with different shaded areas for CK, 2:4, and 2:2 measurements, and a bar graph comparing midday light duration for SS, 2:4, and 2:2, with letters indicating statistical differences. Panel B presents three graphs for T200, T150, and T30, displaying photon flux density over time with rectangular patterns, highlighting different durations and intensities.</alt-text>
</graphic>
</fig>
<p>These field-derived light dynamics informed a simulation of three distinct midday high-light durations in a growth chamber using a programmable LED system: T30 (30 min at 1200 &#xb5;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>, simulating 2:2), T150 (150 min, simulating 2:3), and T200 (200 min, simulating 2:4). Outside of the midday period, a baseline low-light condition of 150 &#xb5;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup> was maintained. Treatments were applied beginning at 12:00 h, and plants were allowed to recover under low light afterward. Each treatment was performed in two independent experimental batches. In each batch, the treatment was replicated three times, with ten soybean plants per replicate (30 plants total per treatment per batch).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Measurement of the dynamic response of photosynthesis</title>
<p>The dynamic response of photosynthesis was assessed using a LI-6800 portable photosynthesis system (LI-COR, Inc., Lincoln, NE, USA) on intact soybean compound leaves. The photosynthetically active radiation (PAR) in the leaf chamber was set to 150 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>&#xb7;sm<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>, and the CO<sub>2</sub> concentration was maintained at 400 &#x3bc;mol&#xb7;mol m<sup>&#x2212;1</sup>. Soybean leaves were clamped into the chamber and acclimated for 20&#x2013;30 minutes. Once photosynthetic parameters stabilized, the light intensity was increased to 1200 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup> for 30 minutes before being reduced back to 150 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup>. The measurement results were fitted to calculate the response time of the net photosynthetic rate (Pn) to the light intensity during the transitions from low light to high light and from high light to low light. Prior to measurement, five morphologically uniform and healthy plants were selected from each treatment group within each batch. The selection was based on similar plant height, leaf area, and overall appearance, ensuring biological consistency. These five plants were used for all physiological and morphological measurements. The final results were obtained by averaging two independent batches of seedlings.</p>
<p>Calculating the time to 50% or 90% of the rate maximum for Pn, The induction kinetics for a given photosynthetic parameter can be expressed using an exponential model as follows (<xref ref-type="bibr" rid="B16">Mott and Woodrow, 2000</xref>):</p>
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<p>where Fmin and Fmax represent the minimum and maximum of Pn during photosynthetic induction, and &#x3c4; represents the time constants for that parameter.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Measurement of the kinetics of chlorophyll fluorescence induction</title>
<p>After a 30-minute dark acclimation period, the kinetics of chlorophyll fluorescence induction were measured using a Plant Efficiency Analyzer (HandyPEA, Norfolk, UK). Fluorescence transients were recorded over a 1-second light pulse, and the OJIP curve was analyzed using the JIP-test, as described in previous studies. Measurements were taken from the middle portion of a healthy compound leaf, with 10 plants sampled per treatment. The following fluorescence parameters were recorded: maximum fluorescence intensity (Fm), minimum fluorescence intensity at 20 &#x3bc;s (Fo), and fluorescence intensities at 2 ms (J-step) and 30 ms (I-step). The variable fluorescence yield (Fv), defined as Fm &#x2212; Fo, was used to calculate the maximum quantum yield of photosystem II (PSII) as Fv/Fm = 1 &#x2212; Fo/Fm. Additionally, when maximum fluorescence (Fm) was reached, the following parameters were calculated:</p>
<p>ABS/CSm &#x2013; energy absorbed per unit leaf cross-sectional area (approximated by Fm).</p>
<p>TR<sub>0</sub>/CSm &#x2013; energy captured per unit leaf cross-sectional area.</p>
<p>ET<sub>0</sub>/CSm &#x2013; energy transferred through electron transport per unit leaf cross-sectional area.</p>
<p>DI<sub>0</sub>/CSm &#x2013; energy dissipated as heat per unit leaf cross-sectional area</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Measurement of photosystem parameters and photosynthetic electron transfer</title>
<p>Photosystem II (PSII) parameters were measured using a Dual-Channel Modulated Chlorophyll Fluorometer (DUAL-PAM-100, WALZ, Germany). A saturating pulse of 20,000 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup> was applied for 300 milliseconds. After at least 20 minutes of dark acclimation, the redox state of the photosystem I (PSI) reaction center was analyzed by measuring the absorbance of P700 following a predefined protocol.</p>
<p>To determine the dark-reduction kinetics of P700, measurements were performed immediately after obtaining the dark-reduction curve, without re-acclimating the plants to darkness. The plastoquinone (PQ) pool size was then measured using a sequential light exposure protocol: the measurement protocol began with the activation of far-red light, followed by a 10-second waiting period to allow for initial stabilization. Next, a single-turnover saturating flash (ST) was applied for 10 seconds to induce a rapid electron transfer response. This was followed by the initiation of multiple-turnover saturating flashes (MT) for 30 seconds to further assess the plastoquinone (PQ) pool dynamics. Finally, the far-red light was deactivated to conclude the measurement. Following data collection, PSI and PSII parameters were calculated as <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref> to the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Information (SI)</bold>
</xref> section.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Analysis of the electrochromic shift</title>
<p>Using the Dual PAM-100 (Walz) equipped with a P515/535 emitter-detector module, the ECS signal was monitored as the absorbance change at 515 nm. After the plants were fully dark-adapted, the measurement was initiated. When the curve leveled off, the actinic light was turned on. After 600 seconds of illumination with the actinic light, it was turned off. At this time, the P515 value decreased rapidly and then increased. After the curve stabilized, the measurement program was terminated. From the dark-light-dark curve changes of the 550&#x2013;515 nm signal, two components of the transmembrane proton motive force (pmf) could be obtained: the proton gradient (&#x394;pH) and the membrane potential (&#x394;&#x3a8;). All &#x394;pH and &#x394;&#x3a8; levels were normalized according to the amplitude of the ECS and calculated using the DIRK analysis.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Dynamic responses of the photosystem to alternating low and high intensity</title>
<p>After the plants were fully dark-adapted, the rapid responses of the PSI and PSII parameters were measured at 25&#xb0;C using the Dual-PAM 100 measurement system (Heinz Walz, Effeltrich, Germany). The leaves were illuminated with 150 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup> for 40 seconds, followed by illumination with 1200 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup> for 80 seconds, and then with 150 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup> for 80 seconds. During the alternation of low-intensity, high-intensity, and low-intensity light, the PSI and PSII parameters were measured (the formulas are consistent with those in section 2.5).</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Statistical analysis</title>
<p>The results are presented as mean values obtained from five biological replicates per treatment per batch (n = 5), averaged across two independent experimental batches (total n = 10). Statistical significance was determined using LSD tests (p &lt; 0.05) in SPSS 26.0. GraphPad Prism8.0 was used for graph plotting.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Effects of midday high-light duration on soybean growth</title>
<p>The impact of these light regimes on morphological traits was first evaluated (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). Both cultivars showed significant reductions in plant height under prolonged midday high light, with ND12 decreasing by 47.52% and 81.46% under T200 compared to T150 and T30, respectively, and GX7 showing even greater reductions of 75.62% and 96.90%. Conversely, stem diameter increased in T200: ND12 showed increases of 6.16% and 14.48% over T150 and T30, while GX7 increased by 26.32% and 15.60%.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effects of Simulated Light on Soybean Growth. <bold>(A)</bold> Effect of light treatments on the growth of soybean. <bold>(B)</bold> Effects of treatments with different durations of intense midday light on the plant height and stem diameter of soybeans. Plant height was measured from the soil surface to the shoot apical meristem and the scale bar applies to both images. ** denotes highly significant ones (p &lt; 0.01).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g002.tif">
<alt-text content-type="machine-generated">Panel A shows two groups of plants, ND12 and GX7, each with three samples labeled T200, T150, and T30. Panel B features two bar graphs comparing ND and GX plants. The left graph shows plant height (in centimeters) with T30 being the tallest. The right graph illustrates stem thickness (in millimeters) with no significant difference marked by asterisks. Each graph includes labels &#x201c;a&#x201d; and &#x201c;b&#x201d; indicating statistical significance. A scale of 10 centimeters is used in Panel A.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Effects of midday high-light duration on photosynthetic performance and light energy utilization efficiency in soybean</title>
<p>Through photosynthetic induction analysis spanning low-high-low light transitions, we found no significant differences in rapid photosynthetic response capacity (time to 50% Pnmax) between the two soybean cultivars across treatments. While ND12 showed comparable photosynthetic acclimation capacity (time to 90% Pnmax) among treatments, GX7 exhibited significant enhancements of 206.53% and 152.69% under T150 and T200, respectively, compared to T30 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Effects of treatments with different durations of intense midday light on the slow photosynthetic response of soybeans.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g003.tif">
<alt-text content-type="machine-generated">Four graphs showing photosynthesis measurements over time. The top left graph illustrates PPFD values, remaining steady at 1200 &#x3bc;mol/m&#xb2;/s before dropping to 300. The top right graph (T30), bottom left (T150), and bottom right (T200) display Pn levels for two conditions (ND in blue, GX in orange). All graphs show varying photosynthesis rates; initial increases or steady states are followed by slight reductions. Time is measured in seconds on the x-axis. Error bands indicate variability.</alt-text>
</graphic>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The rapid response capacity (time to reach 50% of Pnmax) and full adaptation capacity (time to reach 90% of Pnmax) of photosynthesis of two soybean varieties under three light treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="center">Treatment</th>
<th valign="middle" align="center">Time for net photosynthetic rate to rise to 50% of its maximum&#xa0;value(min)</th>
<th valign="middle" align="center">Time for net photosynthetic rate to rise to 90% of its maximum&#xa0;value(min)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="center">ND12</td>
<td valign="middle" align="center">T30</td>
<td valign="middle" align="center">2.2 &#xb1; 0.81a</td>
<td valign="middle" align="center">9.37 &#xb1; 4.02a*</td>
</tr>
<tr>
<td valign="middle" align="center">T150</td>
<td valign="middle" align="center">1.67 &#xb1; 0.77a</td>
<td valign="middle" align="center">7.04 &#xb1; 3.93a</td>
</tr>
<tr>
<td valign="middle" align="center">T200</td>
<td valign="middle" align="center">1.93 &#xb1; 0.72a</td>
<td valign="middle" align="center">6.26 &#xb1; 0.84a</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="center">GX7</td>
<td valign="middle" align="center">T30</td>
<td valign="middle" align="center">1.97 &#xb1; 1.05a</td>
<td valign="middle" align="center">18.58 &#xb1; 4.71a</td>
</tr>
<tr>
<td valign="middle" align="center">T150</td>
<td valign="middle" align="center">1.43 &#xb1; 1.12a</td>
<td valign="middle" align="center">6.06 &#xb1; 0.63b</td>
</tr>
<tr>
<td valign="middle" align="center">T200</td>
<td valign="middle" align="center">1.5 &#xb1; 0.61a</td>
<td valign="middle" align="center">7.35 &#xb1; 1.39b</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different letters denote significant differences (P &lt; 0.05) among treatments, while * indicates significant differences (p &lt; 0.05) between soybeans. Significance is the same as above.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>ND12 demonstrated 4.07% and 2.09% increases under T150 and T200 compared to T30, whereas GX7 showed a 10.05% enhancement exclusively under T150. Energy allocation patterns differed markedly between cultivars. ND12 displayed higher energy absorption per reaction center (ABS/Csm) and trapping efficiency (TRo/Csm) in T30 than in T150/T200 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), while GX7 maintained comparable values across treatments. Under the T150 and T200 treatments, the electron transfer energy per reaction center (ETo/Csm) of both ND12 and GX7 decreased significantly, while the dissipated heat energy per reaction center (DIo/Csm) increased. The longer the duration of intense midday light, the lower the reduction energy per reaction center (REo/Csm) of ND12 and GX7. There were no significant differences in this regard between the two varieties.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>OJIP images and energy distribution parameters of the soybean photosynthetic system under different durations of high noon light treatments. Bars represent mean &#xb1; SEM (n = 10). Statistical differences (p &lt; 0.05) were determined using one-way ANOVA with LSD <italic>post hoc</italic> test. Some significant differences may appear subtle due to small effect sizes but were statistically confirmed based on low within-group variability. &#x201c;ns&#x201d; indicates no significant difference among soybean treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g004.tif">
<alt-text content-type="machine-generated">Graphs comparing fluorescence intensity and biochemical parameters under different treatments. Top graphs show fluorescence intensity over time for ND and GX treatments with T30, T150, and T200 conditions. Bar charts display Fj, TRo/CSm, ABS/CSm, ETo/CSm, DIo/CSm, and REo/CSm parameters for both ND and GX, with statistical significance indicated. Graphs use blue for ND and orange for GX.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Effects of the duration of intense midday light on the activity of the photosystem and electron transfer in soybeans</title>
<p>Both soybean cultivars exhibited common photoprotective responses to prolonged midday high-light exposure, including a significant increase in regulated energy dissipation [Y(NPQ)] and a concurrent decline in non-regulatory dissipation [Y(NO)] (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). These adjustments occurred alongside largely stable quantum yields of PSII and PSI [Y(II), Y(I)] and photochemical quenching (qP) across treatments, indicating a conserved baseline capacity to regulate excess excitation energy under variable light durations(SI.fig1). Despite these similarities, cultivar-specific differences emerged, particularly under short-term high-light conditions (T30). GX7 showed significant reductions in Y(II), Y(I), and qP under T30 compared with T200 (30.25%, 38.33%, and 40.50% decreases, respectively; P &lt; 0.05), whereas ND12 maintained higher overall photosystem efficiency, with combined PSII&#x2013;PSI quantum yields 22.6% greater than GX7 under T30.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Effects of simulated light on the photosynthetic system of soybean leaves. Different lowercase letters indicate significant differences among light treatments within the same cultivar (p &lt; 0.05, LSD). Asterisks (*) denote significant differences between cultivars under the same light treatment (**p &lt; 0.01). &#x201c;ns&#x201d; indicates no significant difference among soybean treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g005.tif">
<alt-text content-type="machine-generated">Five bar graphs comparing two groups, labeled ND and GX, across different metrics and conditions (T200, T150, T30). Each panel shows significant differences denoted by &#x201c;a&#x201d;, &#x201c;b&#x201d;, &#x201c;ab&#x201d;, &#x201c;ns&#x201d; (not significant), and ** (high significance). Panels include Pm/Pm', Y(I), CEF, NPQ, and Y(II) + Y(NPQ) + Y(NO). The legend distinguishes between Y(NO) (yellow), Y(NPQ) (green), and Y(II) (blue).</alt-text>
</graphic>
</fig>
<p>Electron transport dynamics further distinguished the two genotypes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). ND12 displayed stable ETR(II) and ETR(I) across treatments, while GX7 exhibited pronounced increases in both parameters under T200 and T150, by 41.46% and 31.99%, respectively, relative to T30. CEF activity in GX7 increased substantially under prolonged high-light (by 60.47%), as did the CEF/Y(II) ratio (+40.20%), contrasting with the minimal variation observed in ND12. Analysis of PSI donor-side limitation [Y(ND)] revealed higher stress in GX7 under T30, with a 46.46% increase relative to ND12. Moreover, plastoquinone (PQ) pool capacity in GX7 increased by 21.96% from T30 to T200, whereas ND12 maintained consistent PQ redox status across treatments(<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The kinetics of P700 dark reversion accelerated progressively with longer high-light exposure in GX7; under T30, however, ND12 exhibited a 38.7% faster reversion rate, indicative of more efficient electron turnover.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Effects of simulated light on the kinetics of the plastoquinone (PQ) pool, the dark recovery of P700 and the parameters of thylakoid energization, namely the membrane potential &#x394;&#x3a8; and the proton gradient &#x394;pH. These are expressed in normalized arbitrary units and do not correspond to absolute pH values in the lumen. ** denotes highly significant ones (p &lt; 0.01).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g006.tif">
<alt-text content-type="machine-generated">Graphs display data on P700 absorption changes and fluorescence across three conditions: T200, T150, T30, for ND (in blue) and GX (in orange). The top two rows show P700 &#x394;I/Ix10&#x207b;&#xb3; over time, revealing differences in reaction kinetics. The third row illustrates Fluo/V measurements, indicating fluorescence intensity changes. Bar charts underneath compare PQ, &#x394;Q, and &#x394;P/H values for ND and GX across the three conditions, with statistical significance noted by asterisks and labeled lettering indicating group differences.</alt-text>
</graphic>
</fig>
<p>Both cultivars responded to extended high-light exposure with elevated thylakoid energization (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Prolonged treatments increased &#x394;&#x3a8; and &#x394;pH by 34.8% and 27.3%, respectively, but ND12 consistently showed higher energization under T30, with &#x394;&#x3a8; and &#x394;pH values 52.4% and 47.1% greater than GX7 (P &lt; 0.01). Together, these results demonstrate a core set of photoprotective responses shared between genotypes, while highlighting contrasting strategies in energy partitioning and electron transport regulation under varying durations of intense midday light.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Effects of midday light duration on photosynthetic induction dynamics under fluctuating light conditions</title>
<p>The photosynthetic induction responses of both soybean cultivars to low-high-low light transitions revealed significant treatment-dependent patterns (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Under T200 and T150 treatments, ND12 and GX7 exhibited comparable kinetics in Y(I) and Y(II) fluctuations, characterized by initial increases during low light, subsequent decreases under high light, and recovery upon return to low light. However, under T30 treatment, GX7 showed significantly lower Y(I) and Y(II) increases than ND12 during the initial low-light phase (P&lt;0.05). Notably, upon sudden light intensification, GX7 demonstrated dramatic reductions in Y(I) and Y(II) to 0.2 and 0.06, respectively, while ND12 maintained significantly higher values (P&lt;0.01). PSI donor-side limitation analysis through Y(ND) revealed that all treatments showed gradual increases during low light, rapid elevation to 0.7 under high light, and sharp declines to approximately 0.1 upon light reduction, with GX7 under T30 exhibiting significantly higher Y(ND) than ND12 during high-light exposure.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Under the alternating action of fluctuating light between 150-1200-150 &#x3bc;mol&#xb7;m<sup>&#x2212;2</sup>&#xb7;s<sup>&#x2212;1</sup>, changes in the parameters of photosystem I (PSI) and photosystem II (PSII) in soybean leaves were observed. These parameters include Y(I), the quantum yield of PSI photochemistry; Y(II), the quantum yield of PSII photochemistry; NPQ, non-photochemical quenching; and qL, the photochemical quenching coefficient based on the &#x201c;lake model&#x201d; of PSII. The data are presented as the mean &#xb1; standard deviation (n = 10). Y(ND), the limitation on the donor side of photosystem I; Y(NA), the degree of PSI over-reduction; Y(NO), the quantum yield of non-regulated energy dissipation in PSII;and qP, the photochemical quenching coefficient based on the &#x201c;puddle model&#x201d; of PSII (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1648079-g007.tif">
<alt-text content-type="machine-generated">Grid of twelve line graphs, each showing data for ND (blue) and GX (orange). The graphs are arranged in a 3x4 format, labeled by conditions T200, T150, and T30. The x-axis represents time in seconds, and the y-axis varies: Y(I), Y(II), NPQ, and QL. All graphs show a dip in the middle yellow-highlighted region, with recovery afterward. Error bars are present on all points.</alt-text>
</graphic>
</fig>
<p>Dark-adapted initial Y(NA) values (at 10s) followed the pattern T30 &gt; T150 &gt; T200, with GX7 under T30 maintaining significantly higher Y(NA) than ND12 throughout the light transitions. Following light intensification, Y(NA) peaked around 50s before gradually decreasing to 0.1, with subsequent slow declines during the final low-light phase. Prolonged midday illumination significantly enhanced GX7&#x2019;s NPQ capacity while reducing its Y(NO), as evidenced by ND12&#x2019;s consistently lower Y(NO) (non-regulated energy dissipation at PSII) and higher NPQ (regulated energy dissipation) across all light phases under T30 (P&lt;0.05). Furthermore, midday light duration treatments improved GX7&#x2019;s photochemical quenching capacity (QP and QL), though ND12 maintained superior QP and QL values than GX7 under T30 throughout the light transitions.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Photoprotective coordination and electron transport adjustments under prolonged midday irradiance</title>
<p>Prolonged exposure to intense midday light acts as a crucial environmental signal driving convergent photoprotective responses in soybean. Under treatments with extended midday irradiance duration (row spacings corresponding to T150&#x2013;T200), the two cultivars examined, consistently exhibited enhanced regulated energy dissipation, as reflected by significant increases in DIo/CSm (+18.7&#x2013;22.3%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). This conserved adjustment highlights the central role of dynamic non-photochemical quenching (NPQ) in safeguarding the photosynthetic apparatus under prolonged high-light conditions, in line with previous observations across diverse species (<xref ref-type="bibr" rid="B9">Goss and Lepetit, 2015</xref>; <xref ref-type="bibr" rid="B13">Lazzarin et&#xa0;al., 2024</xref>). The robust induction of NPQ suggests that soybean cultivars share a common regulatory framework aimed at rapidly dissipating excess excitation energy and minimizing photoinhibition during midday peaks (<xref ref-type="bibr" rid="B28">Yang et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B15">Liu and Yang, 2024</xref>).</p>
<p>In addition to enhanced energy dissipation, both ND12 and GX7 displayed coordinated modifications in electron transport processes, indicative of regulation of the proton motive force (pmf) and cyclic electron flow (CEF) (<xref ref-type="bibr" rid="B21">Takahashi and Badger, 2011</xref>; <xref ref-type="bibr" rid="B11">Huang et&#xa0;al., 2019</xref>). These adjustments likely optimize ATP/NADPH balance and maintain thylakoid membrane stability under sustained light stress. Such photoprotective coordination reflects a generalized adaptive strategy that enhances resilience to temporally heterogeneous irradiance, particularly relevant for improving light capture and use efficiency in intercropping systems.</p>
<p>Despite these shared responses, cultivar-specific differences were observed in the modulation of electron transport. ND12 maintained a more stable ETR(II) and exhibited faster &#x394;pH formation under prolonged light, suggesting a constitutive activation of protective pathways advantageous for environments dominated by fluctuating light, such as shaded understories. In contrast, GX7 showed a marked increase in CEF with prolonged light exposure, indicative of an inducible photoprotective strategy that may confer benefits under more predictable light regimes. While these differences underline the existence of genotype-specific nuances, the overall findings emphasize a broadly conserved photoprotective framework among soybean cultivars in response to midday irradiance (<xref ref-type="bibr" rid="B4">Dang et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B26">Wu et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Redox memory and photosynthetic niche adaptation under midday irradiance</title>
<p>The patterns of proton motive force (pmf) regulation observed under prolonged midday light suggest a shared adaptive mechanism among soybean cultivars, centered on the dynamic adjustment of thylakoid redox states (<xref ref-type="bibr" rid="B10">Ho et&#xa0;al., 2022</xref>). Both ND12 and GX7 exhibited flexible modulation of &#x394;pH and &#x394;&#x3a8; components in response to increasing light duration, indicating that fine-tuning the balance between electric potential and proton gradient is a critical strategy for optimizing photosynthetic efficiency under fluctuating irradiance. Such regulation is essential for maintaining ATP production and preventing over-reduction of the electron transport chain, thereby stabilizing photosystem performance during intense midday light a feature highly relevant to relay intercropping systems where light environments are temporally heterogeneous (<xref ref-type="bibr" rid="B24">Wang et&#xa0;al., 2022b</xref>).</p>
<p>In addition, both cultivars demonstrated the capacity to adjust electron transport dynamics, including mechanisms that stabilize PSI redox poise and mitigate donor-side limitations under high light stress (<xref ref-type="bibr" rid="B23">Wang et&#xa0;al., 2022a</xref>; <xref ref-type="bibr" rid="B24">Wang et&#xa0;al., 2022b</xref>). These findings underscore that dynamic control of electron flow and pmf partitioning constitutes a fundamental photoprotective response across soybean genotypes exposed to extended midday irradiance (<xref ref-type="bibr" rid="B27">Yamori, 2016</xref>).</p>
<p>Despite this shared regulatory framework, subtle differences were observed between cultivars. ND12 showed a greater reliance on &#x394;&#x3a8; formation relative to &#x394;pH, along with faster P700 re-reduction kinetics in darkness, suggesting a strategy that emphasizes rapid ATP synthase activation and cyclic electron flow to enhance recovery under transient shading (<xref ref-type="bibr" rid="B22">Tanaka et&#xa0;al., 2019</xref>). In contrast, GX7 exhibited an expansion of the plastoquinone (PQ) pool under prolonged light exposure, coupled with delayed relaxation of donor-side PSI limitation, indicative of a potential &#x201c;electron capacitor&#x201d; mechanism to buffer excess reducing equivalents during high-light phases. These cultivar-specific nuances reflect alternative adaptations to midday light stress, although the overarching photoprotective strategies remain largely conserved.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Integrating photoprotective plasticity with agronomic design</title>
<p>These findings demonstrate that the duration of midday high-light exposure acts as a key driver modulating photoprotective plasticity in soybean, underscoring the critical role of temporal light dynamics beyond traditional intensity-focused frameworks (<xref ref-type="bibr" rid="B10">Ho et&#xa0;al., 2022</xref>). Both ND12 and GX7 exhibited dynamic adjustments in energy dissipation and electron transport processes, indicating a common capacity among soybean cultivars to optimize photoprotective responses according to the temporal characteristics of the light environment. Such flexibility has important implications for designing intercropping systems that account for not only light quantity but also its temporal distribution.</p>
<p>Although shared photoprotective strategies were evident, subtle cultivar-specific differences emerged. ND12 predominantly utilized rapid &#x394;pH-mediated NPQ induction, while GX7 favored CEF-dependent electron flow adjustment under prolonged illumination (SI.fig1), providing mechanistic insights into genotype-specific light adaptation. The observed expansion of the plastoquinone pool in GX7 under T200 conditions (21.96%) further suggests a potential role for redox-mediated retrograde signaling in fine-tuning duration-dependent photoprotection. Future studies incorporating time-resolved transcriptomic analyses and multi-environment field trials will be essential to unravel the molecular underpinnings of these responses and to validate their agronomic relevance under diverse cropping conditions.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This study highlights the pivotal role of midday high-light exposure in regulating photoprotective mechanisms and electron transport adjustment in soybean cultivars. Under controlled conditions simulating prolonged midday irradiance, both ND12 and GX7 exhibited dynamic photoprotective responses, including modulation of cyclic electron flow (CEF) and proton motive force components, reflecting a conserved physiological plasticity essential for maintaining photosynthetic efficiency under fluctuating light environments.</p>
<p>Despite these shared adaptive features, cultivar-specific differences were evident. ND12 maintained more stable electron transport via sustained &#x394;pH and CEF activation and sustained &#x394;pH generation, supporting a greater capacity for low-light acclimation. In contrast, GX7 showed dual limitations in electron transport under reduced light, associated with lower CEF activity and less coordinated photosystem regulation. These results suggest that while both cultivars possess intrinsic mechanisms to cope with midday high-light exposure, their differential regulatory strategies may influence their performance under varying canopy light conditions. Future Light intensity moderates restudies under field conditions are warranted to evaluate the agronomic relevance of these physiological traits in diversified cropping systems.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Formal Analysis. XW: Conceptualization, Writing &#x2013; review &amp; editing. JG: Investigation, Writing &#x2013; review &amp; editing. QW: Investigation, Writing &#x2013; review &amp; editing. JW: Conceptualization, Writing &#x2013; review &amp; editing. DD: Data curation, Writing &#x2013; review &amp; editing. XT: Formal Analysis, Writing &#x2013; review &amp; editing. FY: Funding acquisition, Project administration, Writing &#x2013; review &amp; editing. WY: Investigation, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. National Key Research and Development Program of China (2023YFF1001504); Guangxi Key Research and Development Program of China (GuikeAB23026107).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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.</p>
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<title>Generative AI statement</title>
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<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2025.1648079/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1648079/full#supplementary-material</ext-link>
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