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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
</journal-title-group>
<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.2025.1636651</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Spinach yield and quality response to elevated soil carbon dioxide</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Huang</surname><given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname><given-names>Xueyan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2052514/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project-administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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<contrib contrib-type="author">
<name><surname>Ma</surname><given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1728523/overview"/>
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<aff id="aff1"><label>1</label><institution>Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>University of Chinese Academy of Science</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xueyan Zhang, <email xlink:href="mailto:xyzhang@igsnrr.ac.cn">xyzhang@igsnrr.ac.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-06">
<day>06</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1636651</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Huang, Zhang and Ma.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Huang, Zhang and Ma</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-06">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>With the widespread implementation of carbon capture and storage (CCS) projects, assessing the associated environmental risks has become increasingly important, particularly concerning crop responses to soil carbon dioxide (CO<sub>2</sub>) leakage. While previous studies have examined plant responses to soil CO<sub>2</sub> stress, the implications for crop nutritional quality remain poorly characterized.</p>
</sec>
<sec>
<title>Methods</title>
<p>A pot experiment was conducted in Shunyi, Beijing, during autumn 2023 to quantify the effects of CO<sub>2</sub> leakage from CCS on the nutritional indicators of leafy vegetables. The experiment included four replicates per treatment, consisting of a control group (CK) and a CO<sub>2</sub> leakage treatment group (1500 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup>, G1500). Spinach yield and quality were assessed under elevated soil CO2 conditions, with emphasis on vitamin C, vitamin E, cellulose, and oxalate content.</p>
</sec>
<sec>
<title>Results</title>
<p>Prolonged exposure to high soil CO2 concentrations severely inhibited spinach growth, reducing leaf area, aboveground fresh weight, and root weight by 92.76%, 93.46%, and 95.83%, respectively. Chlorophyll b decreased by 35.48%, indicating impaired photosynthesis. Conversely, concentrations of vitamin C, vitamin E, and cellulose increased by 185.47%, 131.45%, and 315.03%, respectively, while oxalate content decreased by 43.08%. However, the severe biomass reduction led to an overall decline in total nutrient yield per plant.</p>
</sec>
<sec>
<title>Discussion</title>
<p>These findings demonstrate that soil CO<sub>2</sub> leakage markedly inhibits growth and reduces total nutrient yield in leafy crops, despite the relative enrichment of certain nutritional components. The results highlight critical challenges to agricultural productivity and food quality in regions affected by CO<sub>2</sub> leakage from CCS.</p>
</sec>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="fpls-16-1636651-g000.tif" position="anchor">
<alt-text content-type="machine-generated">Diagram illustrating spinach yield and quality response to elevated soil carbon dioxide. It includes an experimental setup, phenotypic and biomass indicators showing decreased growth metrics, and quality indicators with increased levels of vitamin C, vitamin E, cellulose, and oxalate. Planting and injection times are noted, with control and CO2 treatment groups compared.</alt-text>
</graphic></p>
</abstract>
<kwd-group>
<kwd>spinach</kwd>
<kwd>simulated experiment</kwd>
<kwd>quality change</kwd>
<kwd>CO<sub>2</sub> leakage</kwd>
<kwd>carbon capture and storage</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>National Natural Science Foundation of China</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100001809</institution-id>
</institution-wrap>
</funding-source>
<award-id rid="sp1">32271638, 32171561</award-id>
</award-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. This work was jointly supported by National Natural Science Foundation of China (No 32271638 and 32171561); Central Public-interest Scientific Institution Basal Research Fund (No. BSRF202502), and the Low Carbon Science Center of the Agricultural Science and Technology Innovation Program (ASTIP&#x2014;CAAS).</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="6"/>
<equation-count count="1"/>
<ref-count count="77"/>
<page-count count="14"/>
<word-count count="7142"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Abiotic Stress</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Carbon capture and storage (CCS) technology effectively reduces carbon dioxide (CO<sub>2</sub>) emissions from primary pollution sources and is one of the key technologies to achieve global net-zero emission goals (<xref ref-type="bibr" rid="B26">IPCC, 2023</xref>; <xref ref-type="bibr" rid="B11">Chen et&#xa0;al., 2024</xref>). CCS involves capturing, transporting, and storing CO<sub>2</sub> in geological formations (<xref ref-type="bibr" rid="B9">Bukar and Asif, 2024</xref>). However, CO<sub>2</sub> may leak through wells or faults, as stable mineralization rarely occurs (<xref ref-type="bibr" rid="B60">Wu et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B61">Xiao et&#xa0;al., 2024</xref>), resulting in a persistent risk of leakage (<xref ref-type="bibr" rid="B36">Liu et&#xa0;al., 2022</xref>). Thus, assessing leakage risks is essential before large-scale CCS deployment (<xref ref-type="bibr" rid="B68">Zhang et&#xa0;al., 2022</xref>). This study focused on the impact of high soil CO<sub>2</sub> concentrations from CCS leakage on plant growth. CO<sub>2</sub> leakage can displace soil oxygen, inhibiting root respiration and reducing biomass (<xref ref-type="bibr" rid="B43">Ma&#x10d;ek et&#xa0;al., 2005</xref>). Natural leaks at Mammoth Mountain caused tree mortality (<xref ref-type="bibr" rid="B15">Farrar et&#xa0;al., 1995</xref>), and Mediterranean pastures near vents showed no plant growth within 6 meters, although recovery occurred farther away (<xref ref-type="bibr" rid="B6">Beaubien et&#xa0;al., 2008</xref>). As sedimentary basins suitable for CCS frequently overlap farmland, the potential impact of elevated soil CO<sub>2</sub> concentrations on farmland has garnered considerable attention. Projects such as ASGARD (Artificial Soil Gassing and Response Detection), Ginninderra, and ZERT (Zero Emission Research and Technology) simulated leaks to study the responses of crops. ASGARD found that CO<sub>2</sub> injection at a depth of 60 cm inhibited field bean growth and increased mortality due to hypoxia (<xref ref-type="bibr" rid="B2">Al-Traboulsi et&#xa0;al., 2012</xref>). Similarly, <xref ref-type="bibr" rid="B73">Zhang et&#xa0;al. (2024)</xref> observed reduced chlorophyll levels in wheat under CO<sub>2</sub> leakage conditions, which correlated with the leakage rate. <xref ref-type="bibr" rid="B31">Lake and Lomax (2018)</xref> reported that impurities like SO<sub>2</sub> and H<sub>2</sub>S in leaks had no significant additional impact compared to pure CO<sub>2</sub>. Crops such as maize, clover, and alfalfa show reduced biomass beyond certain CO<sub>2</sub> thresholds (<xref ref-type="bibr" rid="B69">Zhang et&#xa0;al., 2018</xref>). However, effects on quality vary: alfalfa showed declines in crude protein and amino acids (<xref ref-type="bibr" rid="B68">Zhang et&#xa0;al., 2022</xref>), whereas sunflowers increased in crude protein and linoleic acid under leakage (<xref ref-type="bibr" rid="B67">Yu et&#xa0;al., 2020</xref>). Further research is required to assess the effects of CCS CO<sub>2</sub> leakage on crop quality and explore the underlying mechanisms. Plants respond to external stresses through intricate physiological, molecular, and biochemical mechanisms (<xref ref-type="bibr" rid="B5">Bashir et&#xa0;al., 2021</xref>), mitigating adverse effects on growth, development, and reproduction (<xref ref-type="bibr" rid="B23">Hasanuzzaman et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B39">Ma et&#xa0;al., 2020a</xref>). These stress conditions often lead to the accumulation of free radicals and reactive oxygen species (ROS) in plant cells (<xref ref-type="bibr" rid="B65">You and Chan, 2015</xref>). To counteract this, synthesizing antioxidants such as vitamins C and E plays a crucial role in scavenging excess ROS, thereby protecting cells from oxidative damage (<xref ref-type="bibr" rid="B44">MacGregor, 2024</xref>). Moreover, flavonoids, a class of secondary metabolites, exhibit significant antioxidant properties, further aiding plants in counteracting ROS-induced damage (<xref ref-type="bibr" rid="B42">Macedo et&#xa0;al., 2024</xref>). In addition to these biochemical defenses, the cell wall serves a critical function under stress by enhancing its mechanical strength to maintain cellular rigidity and stability (<xref ref-type="bibr" rid="B52">Swaminathan et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B75">Zhao et&#xa0;al., 2024</xref>). Furthermore, environmental stress can alter the oxalate levels in plants, which may, in turn, be linked to changes in carbon metabolism (<xref ref-type="bibr" rid="B76">Zhou et&#xa0;al., 2019</xref>) and antioxidant mechanisms (<xref ref-type="bibr" rid="B48">Shi et&#xa0;al., 2024</xref>). Therefore, investigating the effects of soil CO<sub>2</sub> stress on the contents of vitamins, flavonoids, cell walls, and oxalate provides valuable insights into the mechanisms underlying plant responses to CO<sub>2</sub> leakage from CCS.</p>
<p>Spinach (<italic>Spinacia oleracea L.</italic>), known for its high sensitivity to environmental stress, is an ideal vegetable for studying stress tolerance and adaptation mechanisms (<xref ref-type="bibr" rid="B4">Badar et&#xa0;al., 2024</xref>). Rich in vitamins, carotenoids, folic acid, and minerals, spinach is an important leafy vegetable with high nutritional value (<xref ref-type="bibr" rid="B58">Watanabe and Ayugase, 2015</xref>) and is widely consumed globally (<xref ref-type="bibr" rid="B62">Xu et&#xa0;al., 2017</xref>). However, spinach is prone to accumulating nitrates and oxalates during growth, and excessive consumption of spinach containing these substances may pose potential health risks (<xref ref-type="bibr" rid="B18">Ghanati et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B29">Khaksar et&#xa0;al., 2024</xref>). The effects of elevated atmospheric CO<sub>2</sub> on plant growth have been extensively studied (<xref ref-type="bibr" rid="B17">Genthon et&#xa0;al., 1987</xref>; <xref ref-type="bibr" rid="B37">Liu et&#xa0;al., 2018</xref>). In studies on spinach under high CO<sub>2</sub> conditions, researchers have primarily focused on FACE (Free-Air CO<sub>2</sub> Enrichment) experiments, investigating the impact of elevated atmospheric CO<sub>2</sub> (eCO<sub>2</sub>) on spinach morphology, biomass, and quality. <xref ref-type="bibr" rid="B1">Ahmad et&#xa0;al. (2024)</xref> found that under eCO<sub>2</sub> conditions, spinach root length and stem length increased significantly by 36.76% and 20.42%, respectively, and the fresh weight, dry weight, leaf number, and leaf area all showed growth. Increased atmospheric CO<sub>2</sub> promoted photosynthetic activity, enhancing crop productivity (<xref ref-type="bibr" rid="B41">Ma et&#xa0;al., 2021</xref>). In a meta-analysis of leafy vegetables, <xref ref-type="bibr" rid="B14">Dong et&#xa0;al. (2020)</xref> also found that spinach yield increased by 35% under eCO<sub>2</sub> conditions. <xref ref-type="bibr" rid="B19">Giri et&#xa0;al. (2016)</xref> evaluated the effects of eCO<sub>2</sub> concentrations on spinach growth and nutritional quality, revealing a significant decrease in leaf stomatal conductance and a reduction in the concentrations of key nutrients such as protein, potassium, and phosphorus, while total phenols and antioxidant capacity remained unchanged, indicating a negative impact of eCO<sub>2</sub> on spinach&#x2019;s nutritional quality. However, no experimental studies have yet assessed the effects of CCS leakage on spinach&#x2019;s physiological morphology, biomass, and nutritional quality. However, a study on lettuce, which belongs to the same leafy vegetable category as spinach, showed that under elevated soil CO<sub>2</sub> conditions, both morphological indicators and yield decreased significantly; although unit nutrient content increased, the total nutrient content still declined due to reduced biomass, indicating potential adverse effects of CCS leakage on leafy vegetable crops (<xref ref-type="bibr" rid="B25">Huang et&#xa0;al., 2025</xref>).</p>
<p>Plant adaptation mechanisms to environmental stress include avoidance and tolerance, which may lead to changes in metabolites and nutritional quality under stress conditions (<xref ref-type="bibr" rid="B4">Badar et&#xa0;al., 2024</xref>). The response of spinach to soil CO<sub>2</sub> leakage stress and its effects on nutritional quality still require further experimental validation. This study hypothesizes that CO<sub>2</sub> leakage will significantly affect spinach leaf morphology, biomass, and nutritional quality during the CCS process, influencing agricultural production. The main objective of this research is to understand spinach&#x2019;s response to CCS leakage in terms of (1) morphology and yield and (2) nutritional quality, mainly changes in vitamin C, vitamin E, cellulose, and oxalate content. Although the pot-based approach limits extrapolation to field conditions, this well-controlled study provides the first documented evidence of CO<sub>2</sub> leakage effects on spinach biomass and key nutritional components.</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>Experiment location and setup</title>
<p>The experiment was conducted at the Shunyi Agricultural Comprehensive Experimental Station, located in Beijing, China (40&#xb0;5&#x2032;41.87&#x2033;N, 116&#xb0;55&#x2032;26.76&#x2033;E). The region has a temperate semi-humid monsoon climate, with an average annual temperature of 11.5&#xb0;C, an annual sunlight duration of 2750 hours, and an average annual precipitation of 625 mm. The frost-free period lasts approximately 195 days.</p>
<p>The experimental setup consisted of CO<sub>2</sub> gas bottles, pots, a CO<sub>2</sub> flow control system, and gas ducts (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1A, B</bold></xref>). The dimensions of the pots were 50 cm (length) &#xd7; 50 cm (width) &#xd7; 80 cm (height). The internal structure of the pot was divided into three layers from bottom to top: the CO<sub>2</sub> chamber, the permeable separator, and the soil chamber. The depth of the CO<sub>2</sub> chamber was 30 cm, while the depth of the soil chamber was 50 cm. CO<sub>2</sub> from the gas bottles entered the bottom CO<sub>2</sub> chamber via ducts, and the CO<sub>2</sub> was then diffused into the soil chamber through the permeable separator. The soil used in the experiment was collected from the surface layer of the nearby farmland and is classified as tidal cinnamon soil with a pH of 7.32. The soil was filled to a depth of 40 cm in the pots. Drainage valves were installed at the bottom of each pot to remove excess irrigation water, ensuring accurate water management during the experiment.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic diagram of the experimental setup and CO<sub>2</sub> release device. <bold>(A)</bold> Schematic diagram of experimental design, <bold>(B)</bold> the in-site photo of the lettuce leakage experiment, <bold>(C)</bold> pot placement, where red represents G1500, and blue represents CK.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1636651-g001.tif">
<alt-text content-type="machine-generated">Diagram of an experimental pot system for growing spinach (panelA), with labeled sections including a soil chamber, gas chamber, precision flow system,and CO2 gas. A photo displays an outdoor setup with a large container and connectedgas cylinder (panel B). Colored squares for coding or categorization are shown on theright (panel C).</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>CO<sub>2</sub> leakage treatment setting and plant management</title>
<p>The experiment, conducted from September 18 to November 8, 2023, included the CO<sub>2</sub> leakage treatment group (G1500) and the control group (CK). The leakage group had a CO<sub>2</sub> release rate of 1500 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup>, while the control group did not receive CO<sub>2</sub>. Each treatment consisted of 4 replicates, totaling 8 pots, arranged in a row from east to west and placed inside an open-top greenhouse covered with a film to prevent external precipitation interference. The distance between the pots was 0.8 m to prevent mutual interference. The layout of the pots for both G1500 and CK was randomized, as shown in <xref ref-type="fig" rid="f1"><bold>Figure 1C</bold></xref>. Leakage began on October 6, 2023, and lasted until the spinach harvest on November 8, 2023. The CO<sub>2</sub> injection flux was controlled by a ball valve next to the gas duct and the pot&#x2019;s precision computer flow control system. The relationship between the flux and rate is as follows:</p>
<disp-formula id="eq1"><label>(1)</label>
<mml:math display="block" id="M1"><mml:mrow><mml:mtext>F</mml:mtext><mml:mo>=</mml:mo><mml:mtext>v</mml:mtext><mml:mo>&#xd7;</mml:mo><mml:mtext>&#x3c1;</mml:mtext><mml:mo stretchy="false">/</mml:mo><mml:mtext>s</mml:mtext></mml:mrow></mml:math>
</disp-formula>
<p>Where <italic>F</italic> represents the CO<sub>2</sub> injection flux (g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup>), <italic>v</italic> is the CO<sub>2</sub> injection rate (mL/min), <italic>&#x3c1;</italic> is the CO<sub>2</sub> density at atmospheric pressure (approximately 1.977 g/L), and <italic>s</italic> is the cross-sectional area of the pot (0.25 m<sup>2</sup>). When the F was 1500 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup>, the corresponding injection rate (v) was 131.70 mL/min (<xref ref-type="disp-formula" rid="eq1">Equation 1</xref>), with unit conversion applied between days and minutes to ensure consistency of time dimensions. According to our previous study, higher CO<sub>2</sub> injection fluxes resulted in lower O<sub>2</sub> concentrations at 40 cm soil depth. Under a CO<sub>2</sub> release rate of 1500 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup>, the soil O<sub>2</sub> concentration was 6.52 vol%, whereas CK exhibited an O<sub>2</sub> concentration of 17.95 vol% (<xref ref-type="bibr" rid="B71">Zhang et&#xa0;al., 2016</xref>).</p>
<p>The spinach variety used was Shubo No. 15, provided by China Vegetable Seed Technology Co., Ltd. (Beijing). Before sowing, all pots were fertilized with nitrogen-phosphorus organic fertilizer as base fertilizer. Spinach seeds were sown on September 18, 2023, and harvested on November 8, 2023. The same management practices were applied to all pots during growth to ensure comparable treatments. <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> summarizes the management practices applied during the experiment.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Management of the experimental process for potted crops.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Date</th>
<th valign="middle" align="center">Operation</th>
<th valign="middle" align="center">Processing capacity per pot</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">2023/9/16</td>
<td valign="middle" align="center">Fertilizing</td>
<td valign="middle" align="center">200 g</td>
</tr>
<tr>
<td valign="middle" align="left">2023/9/18</td>
<td valign="middle" align="center">Seeding</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">2023/9/19, 21, and 23</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">1.5 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/9/27</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">0.75 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/9/30</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">1.5 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/2</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">3.0 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/5</td>
<td valign="middle" align="center">Tinning and Transplantation</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/6</td>
<td valign="middle" align="center">CO<sub>2</sub> injection</td>
<td valign="middle" align="center">132 mL/min</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/9</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">1.5 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/14</td>
<td valign="middle" align="center">Tinning and Sampling</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/15 and 19</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">1.5 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/21</td>
<td valign="middle" align="center">Tinning and Sampling</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/26</td>
<td valign="middle" align="center">Irrigation</td>
<td valign="middle" align="center">3.0 L</td>
</tr>
<tr>
<td valign="middle" align="left">2023/10/31</td>
<td valign="middle" align="center">Sampling</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">2023/11/8</td>
<td valign="middle" align="center">Harvest</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Measuring the variables</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Phenotypic indicators</title>
<p>The phenotypic indicators of spinach included plant height, number of leaves, maximum leaf length, maximum leaf width, and relative chlorophyll value (SPAD). Plant height serves as an indicator of overall developmental status and biomass allocation; the number of leaves correlates directly with photosynthetic capability and yield potential; maximum leaf length and width facilitate the assessment of leaf expansion and allow inference of available photosynthetic surface area; in addition SPAD values offer a rapid, non-invasive proxy for chlorophyll concentration, which further reflects the plant&#x2019;s nitrogen availability and photosynthetic competence. Integrated monitoring of these parameters enables <italic>in situ</italic> acquisition of multidimensional data on plant physiological status, thereby establishing a robust foundation for evaluating developmental trajectories.</p>
<p>At the start of the CO<sub>2</sub> leakage treatment, nine spinach plants with similar growth conditions were randomly selected and tagged from each pot to ensure consistent measurements for the same group of plants. Plant height, number of leaves, maximum leaf length, and maximum leaf width were measured twice a week with a ruler, beginning at the onset of CO<sub>2</sub> leakage. SPAD of the leaves was also measured twice a week starting from October 14, 2023, using the SPAD-502PLUS chlorophyll instrument (Konica Minolta, Tokyo, Japan). For SPAD measurements, one reading was taken from the tip, middle, and base of each selected leaf, and the mean of the three readings was used for analysis. Nine tagged plants were sampled per pot.</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Biomass indicators</title>
<p>Three sampling events were conducted throughout the spinach growth period. For each sampling, three spinach plants with similar growth conditions were randomly selected from each pot to measure the leaf area, aboveground biomass, and aboveground water content. The average value of the three plants was used for analysis. At harvest, the same indicators, including belowground biomass, were also measured for the previously tagged plants. The leaf area was measured using the weight method (<xref ref-type="bibr" rid="B49">Shi et&#xa0;al., 2018</xref>). Assuming a proportional relationship between leaf weight and leaf area, the total leaf area of each plant was calculated by measuring the weight of leaves with a known area. Aboveground biomass was divided into fresh weight and dry weight. Fresh weight was measured immediately after harvest using a calibrated balance, and dry weight was measured after drying the samples in an oven at 80&#xb0;C to constant weight (<xref ref-type="bibr" rid="B59">Wu et&#xa0;al., 2022</xref>). Aboveground water content was calculated as the difference between fresh and dry weights, expressed as a percentage of fresh weight. Belowground biomass was measured by carefully excavating the spinach roots, cleaning them, and drying the surface moisture with absorbent paper before weighing.</p>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Quality indicators</title>
<p>The quality indicators for spinach included nitrate nitrogen, vitamin C, vitamin E, flavonoids, cellulose, and oxalate content. The concentrations of all quality indicators were measured from fresh samples. After harvest, four samples were taken from each pot, and all indicators except oxalate content were analyzed using the microplate method with a microplate reader (<xref ref-type="bibr" rid="B33">Li, 2000</xref>). The nitrate nitrogen content in spinach was measured using a plant nitrate nitrogen reagent kit. In acidic sulfuric conditions, nitrate (NO<sub>3</sub><sup>-</sup>) reacts with salicylic acid to form nitrosalicylic acid, which appears yellow under alkaline conditions with a peak absorption at 410 nm, and the nitrate nitrogen content was determined by colorimetry (<xref ref-type="bibr" rid="B74">Zhao and Wang, 2017</xref>). The vitamin C and vitamin E content were measured using reduction-based assays, where ascorbic acid (AsA) and vitamin E were used to reduce Fe<sup>3+</sup> to Fe<sup>2+</sup>, forming red complexes with bathophenanthroline (<xref ref-type="bibr" rid="B24">He et&#xa0;al., 2012</xref>). Flavonoids were determined using the NaN<sub>2</sub>-Al(NO<sub>3</sub>)<sub>3</sub>-NaOH colorimetric method, where flavonoids form red complexes with aluminum ions in alkaline nitrite solutions, measured at 510 nm (<xref ref-type="bibr" rid="B51">Sultana et&#xa0;al., 2009</xref>). Cellulose content was determined using the anthrone reagent method. In this method, glucose derived from fiber undergoes dehydration under concentrated sulfuric acid, forming furfural-like compounds. These compounds react with anthrone reagent to form a blue-green substance, which is analyzed at 620 nm (<xref ref-type="bibr" rid="B56">Updegraff, 1969</xref>). The oxalate content was analyzed by chromatographic separation using the Waters ACQUITY UPLC I-CLASS Ultra-performance liquid chromatography and mass spectrometric analysis using the Waters XEVO TQ-S Micro tandem quadrupole mass spectrometer (<xref ref-type="bibr" rid="B21">Gupta et&#xa0;al., 2023</xref>).</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data analysis</title>
<p>The primary purpose of data analysis was to explore whether there were significant differences between G1500 and CK in the measured indicators. Data analysis adopted different analytical methods based on the characteristics of the measured indicators.</p>
<p>For phenotypic indicators repeatedly measured during spinach growth, two-way analysis of variance (ANOVA) was used in Python 3.13 to evaluate the effects of Group (G1500 vs CK), Time (measurement dates), and their interaction (Group &#xd7; Time). When ANOVA indicated significant effects, Welch <italic>t</italic>-test was conducted for pairwise comparisons between G1500 and CK at each time point, and Bonferroni correction was applied to control for multiple testing.</p>
<p>For the other dataset, the Shapiro&#x2013;Wilk test of normality was performed in Python 3.13. When both CK and G1500 satisfied the normality assumption, Levene&#x2019;s test was used to assess homogeneity of variances, and based on the result, either an independent sample <italic>t</italic>-test (equal variances assumed) or a Welch <italic>t</italic>-test (equal variances not assumed) was conducted in IBM SPSS Statistics 26. For datasets violating the normality assumption, a permutation test was performed in Python 3.13, as it makes no distributional assumptions and provides robust inference with small or unequal samples.</p>
<p>P denotes the significance level, and P&lt; 0.05 was considered the threshold for statistical significance between CK and G1500. Result figures were drawn using Origin 9.8 software (OriginLab, Northampton, MA, USA).</p>
<p>Additionally, the ANOVA results are summarized in <xref ref-type="app" rid="app1"><bold>Appendix Table&#xa0;1</bold></xref>. The pairwise comparison results of Bonferroni corrections for G1500 and CK across time points are shown in <xref ref-type="app" rid="app1"><bold>Appendix Table&#xa0;2</bold></xref>. While the results of the Shapiro&#x2013;Wilk test for normality and Levene&#x2019;s test for homogeneity of variances are presented in <xref ref-type="app" rid="app1"><bold>Appendix Table&#xa0;3</bold></xref>.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Changes in spinach morphology under leakage</title>
<p>After 34 days of CO<sub>2</sub> leakage, spinach was harvested, and significant differences in growth were observed between G1500 and CK. <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A&#x2013;C</bold></xref> compare the harvest conditions of the spinach in both groups. In G1500, spinach growth was significantly reduced compared with CK.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Comparison of the growth of spinach between CK and G1500 during harvest. <bold>(A)</bold> Spinach growth of CK, <bold>(B)</bold> G1500, and <bold>(C)</bold> individual spinach plants, left CK and right G1500.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1636651-g002.tif">
<alt-text content-type="machine-generated">Three images show the morphological differences between spinach plants in the CK and G1500: (A) well-grown spinach plants of CK; (B) spinach plants of G1500 showing inhibited growth; (C) comparison of individual whole spinach plants from the two groups on a black background, with the healthy and vigorous control plant on the left and the smaller, weaker treatment plant on the right.</alt-text>
</graphic>
</fig>
<p>Under the 1500 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup> CO<sub>2</sub> leakage condition, the height of the spinach plants gradually deviated from CK (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>). The spinach of G1500 showed rapid initial growth followed by a fluctuating decline, whereas CK exhibited a continuous and steady increase in height. The height difference between the two groups was substantial, indicating that CO<sub>2</sub> significantly affected spinach growth. By the end of the experiment, the height of G1500 had decreased by 54.21% compared with CK (N = 36, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Further analysis using an independent sample <italic>t</italic>-test on the height data indicated a rapid response to CO<sub>2</sub> leakage. Significant differences were observed as early as the ninth day after the leakage began, indicating that spinach is highly sensitive to elevated soil CO<sub>2</sub> concentrations, with noticeable changes in plant height.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Changes in spinach leaves and SPAD under CO<sub>2</sub> leakage conditions. <bold>(A)</bold> Plant height, <bold>(B)</bold> maximum leaf length, <bold>(C)</bold> maximum leaf width, <bold>(D)</bold> number of leaves response curve, and <bold>(E)</bold> SPAD box plot. The XY label indicates a significant difference between G1500 and CK from that date, as determined by the independent sample <italic>t</italic>-test. In <bold>(A&#x2013;D)</bold>, the real point represents the mean of the morphological indicator, and the colored area represents the standard deviation. In <bold>(E)</bold>, &#x201c;*&#x201d; represents the deviation value, and the background circle represents the specific numerical value. Blue represents CK, and red represents G1500.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1636651-g003.tif">
<alt-text content-type="machine-generated">Graphs depicting spinach growth and SPAD values. Four graphs(A-D) show height, maximum leaf length and width, and number of leaves over time fromOctober 6 to November 8 for control (CK) and G1500 groups. Graph (E) displays SPADvalues with CK and G1500 marked by different colors. Each graph compares trendsbetween CK and G1500, showing CK generally having higher values.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Significance analysis of spinach response to CO<sub>2</sub> leakage at harvest (November 8th).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Observation</th>
<th valign="middle" colspan="2" align="center">Treatment</th>
<th valign="middle" rowspan="2" align="center">N</th>
<th valign="middle" rowspan="2" align="center"><italic>t</italic></th>
<th valign="middle" rowspan="2" align="center">P</th>
<th valign="middle" rowspan="2" align="center">Increase(%)</th>
</tr>
<tr>
<th valign="middle" align="center">CK (Mean &#xb1; SD)</th>
<th valign="middle" align="center">G1500 (Mean &#xb1; SD)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Height (cm)</td>
<td valign="middle" align="center">7.66 &#xb1; 2.42</td>
<td valign="middle" align="center">3.51 &#xb1; 1.15</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">-9.29</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-54.21</td>
</tr>
<tr>
<td valign="middle" align="left">Length of maximum leaf (cm)</td>
<td valign="middle" align="center">9.38 &#xb1; 1.74</td>
<td valign="middle" align="center">3.00 &#xb1; 0.82</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">-19.85</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-67.97</td>
</tr>
<tr>
<td valign="middle" align="left">Width of maximum leaf (cm)</td>
<td valign="middle" align="center">6.03 &#xb1; 1.34</td>
<td valign="middle" align="center">1.40 &#xb1; 0.46</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">-19.62</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-76.76</td>
</tr>
<tr>
<td valign="middle" align="left">Number of leaves</td>
<td valign="middle" align="center">17.00 &#xb1; 3.01</td>
<td valign="middle" align="center">8.67 &#xb1; 2.83</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-49.00</td>
</tr>
<tr>
<td valign="middle" align="left">SPAD</td>
<td valign="middle" align="center">75.93 &#xb1; 5.68</td>
<td valign="middle" align="center">38.59 &#xb1; 15.38</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">-13.63</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-18.38</td>
</tr>
<tr>
<td valign="middle" align="left">Leaf area (cm<sup>2</sup>)</td>
<td valign="middle" align="center">226.77 &#xb1; 12.55</td>
<td valign="middle" align="center">16.41 &#xb1; 3.74</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">-32.31</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-92.76</td>
</tr>
<tr>
<td valign="middle" align="left">Chlorophyll a (mg/g)</td>
<td valign="middle" align="center">0.34 &#xb1; 0.15</td>
<td valign="middle" align="center">0.41 &#xb1; 0.20</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">1.16</td>
<td valign="middle" align="center">0.26</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">Chlorophyll b (mg/g)</td>
<td valign="middle" align="center">0.33 &#xb1; 0.17</td>
<td valign="middle" align="center">0.21 &#xb1; 0.10</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">-2.30</td>
<td valign="middle" align="center">0.03*</td>
<td valign="middle" align="center">-35.48</td>
</tr>
<tr>
<td valign="middle" align="left">Aboveground fresh weight (g)</td>
<td valign="middle" align="center">11.48 &#xb1; 2.29</td>
<td valign="middle" align="center">0.75 &#xb1; 0.17</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">-9.35</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-93.46</td>
</tr>
<tr>
<td valign="middle" align="left">Aboveground dry weight (g)</td>
<td valign="middle" align="center">1.30 &#xb1; 0.64</td>
<td valign="middle" align="center">0.21 &#xb1; 0.08</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">-3.38</td>
<td valign="middle" align="center">0.04*</td>
<td valign="middle" align="center">-84.17</td>
</tr>
<tr>
<td valign="middle" align="left">Aboveground water content (%)</td>
<td valign="middle" align="center">89.04 &#xb1; 3.69</td>
<td valign="middle" align="center">73.56 &#xb1; 5.80</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">-4.50</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-17.38</td>
</tr>
<tr>
<td valign="middle" align="left">Root weight (g)</td>
<td valign="middle" align="center">1.67 &#xb1; 0.16</td>
<td valign="middle" align="center">0.07 &#xb1; 0.02</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">-19.50</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-95.83</td>
</tr>
<tr>
<td valign="middle" align="left">Nitrate nitrogen (mg/g)</td>
<td valign="middle" align="center">0.25 &#xb1; 0.15</td>
<td valign="middle" align="center">0.22&#xb1; 0.13</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">0.64</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin C (mg/g)</td>
<td valign="middle" align="center">0.06 &#xb1; 0.06</td>
<td valign="middle" align="center">0.18 &#xb1; 0.10</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">185.47</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin E (mg/g)</td>
<td valign="middle" align="center">0.03 &#xb1; 0.01</td>
<td valign="middle" align="center">0.06 &#xb1; 0.01</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">8.51</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">131.45</td>
</tr>
<tr>
<td valign="middle" align="left">Flavonoids (mg/g)</td>
<td valign="middle" align="center">0.54 &#xb1; 0.26</td>
<td valign="middle" align="center">3.05 &#xb1; 2.20</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">0.11</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">Cellulose (mg/g)</td>
<td valign="middle" align="center">2.21 &#xb1; 0.91</td>
<td valign="middle" align="center">9.15 &#xb1; 4.19</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">6.48</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">315.03</td>
</tr>
<tr>
<td valign="middle" align="left">Oxalate (mg/g)</td>
<td valign="middle" align="center">4.94 &#xb1; 0.67</td>
<td valign="middle" align="center">2.81 &#xb1; 1.32</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">-5.76</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-43.08</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>All data were collected at the harvest stage (November 8). Morphological data measured during the experimental period are presented in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>. Values are expressed as mean &#xb1; SD (standard deviation). N denotes the number of biological replicates. For phenotypic indicators, ANOVA analysis was adopted and Bonferroni correction was applied to adjust for multiple testing across time points. For the other indicators, an independent samples t-test was applied when assumptions of normality and equal variances were met, and a Welch t-test was used when variances were unequal. The <italic>t</italic>-value reflects the standardized mean difference; a larger |<italic>t</italic>| indicates stronger significance. For variables not normally distributed, the permutation test was used, and no t-values are reported (&#x201c;&#x2014;&#x2014;&#x201d;). P indicates the significance level, where * denotes P&lt; 0.05 (significant) and ** denotes P&lt; 0.01 (highly significant). &#x201c;Increase (%)&#x201d; shows the relative change of G1500 compared with CK for significant indicators.</p></fn>
<fn>
<p>The observed indicators include plant height, fresh weight of aboveground biomass, nitrate nitrogen, and vitamin C, among others.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Moreover, CO<sub>2</sub> leakage inhibited the spinach plants&#x2019; maximum leaf length and width. As shown in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>, the maximum leaf length of G1500 grew slowly during the early leakage period and began to fluctuate and decrease from day 12. By harvest time, the maximum leaf length of G1500 had decreased by 67.97% compared with CK (N = 36, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The decline in leaf length was associated with yellowing and curling of the leaves. <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref> shows that the maximum leaf width of G1500 displayed a slightly increasing trend, indicating that the high concentration of CO<sub>2</sub> in the soil had a strong inhibitory effect on leaf expansion. At harvest, the maximum leaf width was significantly reduced by 76.76% compared with CK (N = 36, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Further analysis showed that significant differences in maximum leaf length and width between G1500 and CK were first observed on the fifth day of leakage. Even more significant differences were noted at harvest, confirming that elevated soil CO<sub>2</sub> concentrations severely inhibited spinach leaf growth.</p>
<p><xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref> shows that while the number of leaves in both groups increased overall, G1500 had a 49.00% reduction in leaf number compared with CK (N = 36, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This suggested that CO<sub>2</sub> leakage suppressed the leaf formation of spinach. Notably, on day 19, G1500 exhibited a slight reduction in leaf number. As illustrated in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>, several leaves under stress displayed chlorosis and wilting, indicative of senescence.</p>
<p><xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3e</bold></xref> shows the response of spinach SPAD under CO<sub>2</sub> leakage conditions. During the early stages of leakage, the SPAD of G1500 was lower than CK but did not show significant differences. However, from day 12, after CO<sub>2</sub> leakage began, significant differences in SPAD were observed, with CK exhibiting a fluctuating decline. At harvest, the SPAD of G1500 was 18.38% lower than that of CK (N = 36, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Mainly, spinach SPAD under leakage showed a gradual increase followed by a sharp decline, indicating that prolonged exposure to elevated soil CO<sub>2</sub> concentrations suppressed chlorophyll levels in spinach, leading to leaf yellowing. Further analysis of chlorophyll content at harvest revealed a significant reduction in chlorophyll b content of G1500 (decreased by 35.48%, N = 16, P&lt; 0.05, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), suggesting that high CO<sub>2</sub> concentrations primarily inhibited the synthesis of chlorophyll b in spinach (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Changes in morphology, biomass, and quality of spinach under leakage treatment during harvest on November 8th. <bold>(A)</bold> Leaf area, <bold>(B)</bold> chlorophyll b, <bold>(C)</bold> aboveground fresh weight per plant, <bold>(D)</bold> aboveground dry weight per plant, <bold>(E)</bold> aboveground water content (%), <bold>(F)</bold> aboveground fresh weight (root weight) per plant, <bold>(G)</bold> vitamin C, <bold>(H)</bold> vitamin E, <bold>(I)</bold> Cellulose, and <bold>(J)</bold> Oxalate box plot. &#x201c;*&#x201d; represents the deviation value, and the background circle represents the specific numerical value. Blue represents CK, and red represents G1500.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1636651-g004.tif">
<alt-text content-type="machine-generated">Box plots comparing various plant metrics between CK (blue) andG1500 (red). Metrics include (A) leaf area, (B) chlorophyll b, (C) aboveground fresh weight,(D) aboveground dry weight, (E) aboveground water content, (F) root weight, (G) VitaminC, (H) Vitamin E, (I) cellulose, and (J) oxalate. Each plot shows a significant differencebetween CK and G1500, with CK generally having higher values except for Vitamin E,cellulose, and oxalate.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Changes in spinach biomass under leakage</title>
<p>At harvest, significant changes in both aboveground and belowground biomass were observed. <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref> presents the leaf area per plant at harvest. The leaf area of G1500 decreased by 92.76% compared with CK, indicating a highly significant difference and suggesting that CO<sub>2</sub> leakage severely impaired spinach leaf growth. <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4C, D</bold></xref> show that the aboveground fresh weight of G1500 (0.75 &#xb1; 0.17 g) was significantly lower than that of CK (11.48&#xa0;&#xb1; 2.29 g), representing a 93.46% decrease (N = 12, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The aboveground dry weight of G1500 (0.21 &#xb1; 0.08 g) was also significantly reduced by 84.46% compared with CK (1.30 &#xb1; 0.64&#xa0;g) (N = 4, P&lt; 0.05, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Further analysis of the aboveground water content (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4E</bold></xref>) revealed that CO<sub>2</sub> leakage significantly affected the water content, which decreased by 17.38% (N = 4, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<p>Under CO<sub>2</sub> leakage conditions, <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4F</bold></xref> shows that the belowground fresh weight (0.07 &#xb1; 0.02 g) was much lower than that of CK (1.67 &#xb1; 0.16 g), a decrease of 95.83% (N = 4, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). As shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>, spinach roots in the high CO<sub>2</sub> environment underwent morphological changes, with the main root appearing shorter and thinner, and a reduction in the number and length of fine roots. This indicates that CO<sub>2</sub> leakage restricted the roots&#x2019; ability to absorb water and nutrients from the soil.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Changes in spinach quality under leakage</title>
<p>Vegetables contain essential dietary vitamins (<xref ref-type="bibr" rid="B10">Chaudhari et&#xa0;al., 2024</xref>), including antioxidants such as vitamins C and E (<xref ref-type="bibr" rid="B50">Stahl and Sies, 1997</xref>). In this experiment, CO<sub>2</sub> leakage significantly increased spinach&#x2019;s vitamin C and E content (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4G, H</bold></xref>). Vitamin C increased from 0.06 &#xb1; 0.06 mg/g to 0.18 &#xb1; 0.10 mg/g, representing a 185.47% increase, and vitamin E increased from 0.03 &#xb1; 0.01 mg/g to 0.06 &#xb1; 0.01 mg/g, a 131.45% increase (N = 16, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Vitamin C and E are important components in plant-induced resistance mechanisms, which possess antioxidant properties (<xref ref-type="bibr" rid="B7">Boubakri et&#xa0;al., 2016</xref>). The higher increase in vitamin C compared to vitamin E suggested that CO<sub>2</sub> leakage may more readily induce the production of disease-resistant compounds associated with vitamin C in spinach.</p>
<p>Cellulose, an important component of plant cell walls (<xref ref-type="bibr" rid="B45">Maleki et&#xa0;al., 2016</xref>), affects the strength and rigidity of the walls (<xref ref-type="bibr" rid="B55">Taylor, 2008</xref>). <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4I</bold></xref> shows a significant increase in cellulose content of G1500, from 2.21 &#xb1; 0.95 mg/g to 9.15 &#xb1; 4.19 mg/g, a 315.03% increase compared with CK (N = 16, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This suggested that CO<sub>2</sub> leakage may stimulate cellulose synthesis, which could help spinach plants cope with the stress induced by high soil CO<sub>2</sub> concentrations.</p>
<p>Moreover, the oxalate content in spinach decreased significantly under high CO<sub>2</sub> conditions (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4J</bold></xref>), from 4.94&#xb1; 0.670 mg/g to 2.81 &#xb1; 1.32 mg/g (N = 16, P&lt; 0.01, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), a reduction of 43.08%. Oxalate can accumulate in spinach and interfere with the absorption of calcium and zinc, potentially leading to kidney stone formation (<xref ref-type="bibr" rid="B8">Bsc, 1999</xref>). The reduction of oxalate content in spinach under CO<sub>2</sub> leakage conditions may represent a potential pathway for reducing oxalate levels in vegetables.</p>
<p>According to the results in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>, a sharp decline in the total content of all measured substances was observed in the G1500 group compared with CK, primarily due to a severe reduction in biomass. The aboveground fresh weight, which serves as the basis for the total content calculation, drastically decreased from 11.48 g in CK to only 0.75 g in G1500. Consequently, although the average concentrations of several key quality indicators (such as vitamin C, vitamin E, flavonoids, and cellulose) increased in G1500, the drastic loss of biomass ultimately led to a substantial reduction in their total accumulation. The total content of nitrate nitrogen plummeted from 2.83 mg to 0.17 mg, vitamin C declined from 0.69 mg to 0.14 mg, and vitamin E content declined from 0.30 mg to 0.05 mg. The total content of oxalate plummeted by over 96.28%, while flavonoids and cellulose were reduced by approximately 63.06% and 72.96%, respectively.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Comparison of quality indicators between average concentration and total content of spinach affected by CO<sub>2</sub> leakage.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Observation</th>
<th valign="middle" colspan="2" align="center">Average concentration</th>
<th valign="middle" colspan="2" align="center">Total content (mean)</th>
</tr>
<tr>
<th valign="middle" align="center">CK (mg/g)</th>
<th valign="middle" align="center">G1500 (mg/g)</th>
<th valign="middle" align="center">CK (g)</th>
<th valign="middle" align="center">G1500 (g)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Aboveground fresh weight</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">11.48</td>
<td valign="middle" align="center">0.75</td>
</tr>
<tr>
<td valign="middle" align="left">Nitrate nitrogen</td>
<td valign="middle" align="center">0.25</td>
<td valign="middle" align="center">0.22</td>
<td valign="middle" align="center">2.83</td>
<td valign="middle" align="center">0.17</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin C</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">0.18</td>
<td valign="middle" align="center">0.69</td>
<td valign="middle" align="center">0.14</td>
</tr>
<tr>
<td valign="middle" align="left">Vitamin E</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" align="center">0.01</td>
<td valign="middle" align="center">0.30</td>
<td valign="middle" align="center">0.05</td>
</tr>
<tr>
<td valign="middle" align="left">Flavonoids</td>
<td valign="middle" align="center">0.54</td>
<td valign="middle" align="center">3.05</td>
<td valign="middle" align="center">6.20</td>
<td valign="middle" align="center">2.29</td>
</tr>
<tr>
<td valign="middle" align="left">Cellulose</td>
<td valign="middle" align="center">2.21</td>
<td valign="middle" align="center">9.15</td>
<td valign="middle" align="center">25.37</td>
<td valign="middle" align="center">6.86</td>
</tr>
<tr>
<td valign="middle" align="left">Oxalate</td>
<td valign="middle" align="center">4.94</td>
<td valign="middle" align="center">2.81</td>
<td valign="middle" align="center">56.76</td>
<td valign="middle" align="center">2.11</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our study investigated the effects of elevated soil CO<sub>2</sub> concentration on spinach&#x2019;s growth and nutritional quality. The results indicated that soil CO<sub>2</sub> leakage significantly inhibited spinach growth, particularly in plant height, leaf morphology, and aboveground and belowground biomass. However, it also promoted the accumulation of specific nutrients, such as a significant increase in the content of vitamins C and E, and cellulose. These findings revealed that the effects of elevated soil CO<sub>2</sub> on spinach were complex, involving both suppressive impacts and potential activation of plant stress-defense mechanisms.</p>
<p>Nutrient analysis revealed that soil CO<sub>2</sub> leakage significantly increased the contents of vitamin C and E in spinach by 185.47% and 131.45%, respectively (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This suggests that spinach may activate its stress-defense mechanisms by enhancing the synthesis of antioxidant vitamins under high CO<sub>2</sub> stress. Both vitamin C and vitamin E play important roles in plant disease resistance, with vitamin C serving as a key inducer of disease resistance. The increase in vitamin C content under CO<sub>2</sub> leakage conditions aligns with previous studies on plant resistance mechanisms (<xref ref-type="bibr" rid="B7">Boubakri et&#xa0;al., 2016</xref>), further confirming the critical role of vitamins in plant responses to stress. Notably, our findings on vitamin C content differ from those of FACE experiments, in which the vitamin C content of vegetables such as carrots decreased under elevated atmospheric CO<sub>2</sub> (<xref ref-type="bibr" rid="B3">Azam et&#xa0;al., 2013</xref>). This discrepancy suggests that soil and atmospheric CO<sub>2</sub> affected vitamin C synthesis through different mechanisms, potentially due to variations in biomass growth and nutrient absorption patterns.</p>
<p>Additionally, the cellulose content in spinach increased significantly by 315.03% (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Cellulose is a major structural component of the cell wall, and changes in its content often reflect compensatory or integrity responses that impact vegetable quality and stress resistance (<xref ref-type="bibr" rid="B35">Li et&#xa0;al., 2017</xref>). The increase in cellulose under CO<sub>2</sub> leakage likely helped reinforce the cell wall, enhancing the plant&#x2019;s ability to resist stress. This supported the idea that spinach underwent metabolic adjustments to enhance its tolerance to stress under CO<sub>2</sub> stress conditions. As <xref ref-type="bibr" rid="B53">Taiz and Zeiger (2015)</xref> suggested, plants often adapt to adverse environments by adjusting their cell wall composition, which aligns with the increase in cellulose content observed in this study.</p>
<p>On the other hand, the oxalate content in spinach decreased significantly by 43.08% (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). As an antinutrient, oxalate accumulates in spinach and can interfere with human calcium and zinc absorption (<xref ref-type="bibr" rid="B47">Petropoulos et&#xa0;al., 2016</xref>). Environmental stressors influence the accumulation of oxalate in plants (<xref ref-type="bibr" rid="B13">Ding et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B28">Jiang et&#xa0;al., 2008</xref>). <xref ref-type="bibr" rid="B66">Yu et&#xa0;al. (2012)</xref> demonstrated that elevated atmospheric CO<sub>2</sub> levels under heat stress resulted in a 68% reduction in oxalate abundance in cool-season grasses. Similarly, <xref ref-type="bibr" rid="B77">Zhuang et&#xa0;al. (2019)</xref> reported that salt stress combined with increased CO<sub>2</sub> altered metabolite accumulation patterns in the leaves and roots of Kentucky bluegrass, leading to a decrease in oxalate content.</p>
<p>Spinach leaf morphology showed a high sensitivity to elevated soil CO<sub>2</sub> levels (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>), significantly reducing plant height, leaf size, number, and leaf area compared with CK. Notably, plant height rapidly responded, with a significant change observed by the fifth day after CO<sub>2</sub> leakage. Moreover, the maximum leaf length and width decreased by 67.97% and 76.76%, respectively, while the leaf area decreased by 92.76% (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). These results were opposite to those of eCO<sub>2</sub> experiments, where spinach exposed to high atmospheric CO<sub>2</sub> for 80 days showed a substantial increase in leaf area (<xref ref-type="bibr" rid="B27">Jain et&#xa0;al., 2007</xref>). However, the findings aligned with CCS-simulated soil CO<sub>2</sub> leakage studies, demonstrating a significant inhibitory effect on plant morphology and biomass (<xref ref-type="bibr" rid="B32">Lakkaraju et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B40">Ma et&#xa0;al., 2020b</xref>). Our results suggested that elevated soil CO<sub>2</sub> concentrations had a potent suppressive effect on spinach growth and caused a continuous deterioration in leaf number and health. These morphological changes may be attributed to reduced oxygen availability in high CO<sub>2</sub> soil environments (<xref ref-type="bibr" rid="B71">Zhang et&#xa0;al., 2016</xref>), which affects root respiration and the uptake of water and nutrients.</p>
<p>SPAD showed a significant decline in spinach under CO<sub>2</sub> leakage conditions (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>). While no noticeable changes were observed early on, SPAD significantly decreased by 18.38% at harvest compared with CK (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This suggested that the inhibitory effect of high CO<sub>2</sub> on chlorophyll content in spinach intensifies over time, especially under prolonged exposure. This fluctuating decline may be due to disruptions in the chlorophyll synthesis process or accelerated chlorophyll degradation under high CO<sub>2</sub> conditions (<xref ref-type="bibr" rid="B30">Kumari et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B46">Muthusamy et&#xa0;al., 2019</xref>). Although the reduced SPAD and chlorosis phenomena suggest a possible decline in photosynthetic performance, no direct measurements of gas exchange, chlorophyll fluorescence, or root respiration were conducted to confirm physiological impairment (<xref ref-type="bibr" rid="B72">Zhang et&#xa0;al., 2020</xref>). Therefore, this interpretation remains tentative and should be verified by future studies combining physiological and biochemical assays. Further analysis of chlorophyll a and b content revealed a more significant decline in chlorophyll b (35.48%, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), which may lead to a weakened efficiency of the auxiliary light-capturing function of chlorophyll b (<xref ref-type="bibr" rid="B20">Guo et&#xa0;al., 2006</xref>). Previous studies on the impact of CCS on leaf photosynthetic capacity support this hypothesis, with findings indicating that high soil CO<sub>2</sub> concentrations suppress photosynthesis in pasture grass, alfalfa, and soybean (<xref ref-type="bibr" rid="B63">Xue et&#xa0;al., 2021</xref>), as evidenced by reductions in photosynthetic parameters such as Pn, Tr, and Gs (<xref ref-type="bibr" rid="B70">Zhang et&#xa0;al., 2015</xref>). We expected elevated soil CO<sub>2</sub> concentrations to weaken spinach photosynthesis, which hindered biomass accumulation.</p>
<p>The results also indicated that soil CO<sub>2</sub> leakage had a significant negative impact on the aboveground and belowground biomass of spinach (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4C, D</bold></xref>). Under CO<sub>2</sub> leakage conditions, the fresh and dry weights of aboveground biomass decreased by 93.46% and 84.46%, respectively (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), indicating severe growth inhibition. Furthermore, the aboveground water content decreased by 17.38% (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The high CO<sub>2</sub> concentration in the soil impaired the growth vigor of the aboveground portion, resulting in a significant decrease in biomass and compromised water regulation of spinach. Below the ground, the root biomass also decreased significantly, with the fresh root weight of G1500 reduced by 95.83% compared with CK (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This result was consistent with findings in alfalfa, where soil CO<sub>2</sub> leakage at a rate of 1500 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup> led to reductions of 43.55% and 66.06% in aboveground and belowground fresh weight, respectively, and a decline in the root-shoot ratio from 1.04 to 0.63 (<xref ref-type="bibr" rid="B68">Zhang et&#xa0;al., 2022</xref>). In our study, the reduction in aboveground fresh weight was less than that of the belowground biomass, indicating that CO<sub>2</sub> leakage had a more pronounced inhibitory effect on the root system.</p>
<p>The experiment also observed significant degradation of spinach root morphology, with the primary roots becoming shorter and thinner and the number, length, and thickness of fine roots decreasing dramatically (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). The root weight of G1500 decreased significantly by 95.83% compared with CK (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). High CO<sub>2</sub> concentrations severely inhibited root development, restricting the roots&#x2019; ability to absorb water and nutrients. This finding is consistent with previous studies, such as <xref ref-type="bibr" rid="B22">Han et&#xa0;al. (2020)</xref>, who reported reductions of 44.73%, 34.14%, and 19.16% in root length, surface area, and volume of maize, respectively, under CO<sub>2</sub> leakage conditions of 2000 g&#xb7;m<sup>-2</sup>&#xb7;d<sup>-1</sup>. These findings indicate that elevated soil CO<sub>2</sub> concentrations cause severe physiological damage to spinach roots, hindering their ability to obtain water and nutrients.</p>
<p>Despite the improvements in spinach&#x2019;s nutritional quality, the significant reduction in aboveground fresh weight (93.46%, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>) indicated a substantial decline in overall total nutritional content per plant. The reduction in edible yield adversely affected the nutritional and economic value of spinach. The total content of vitamin C and vitamin E decreased drastically by 79.71% and 84.88%, respectively; similarly, a pronounced reduction was observed for cellulose (72.96%) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). These findings highlighted the dual impact of CO<sub>2</sub> leakage: while it enriched certain nutrients, it significantly impaired spinach growth and marketability. This suggests two non-mutually exclusive mechanistic explanations: a concentration effect due to biomass suppression, and/or active metabolic upregulation under stress conditions. Under atmospheric CO<sub>2</sub>, plants may experience a &#x201c;dilution effect&#x201d; (<xref ref-type="bibr" rid="B54">Taub and Wang, 2008</xref>), whereby nutrient content per unit biomass decreases as plant size increases (<xref ref-type="bibr" rid="B34">Li et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B1">Ahmad et&#xa0;al., 2024</xref>). In contrast, soil CO<sub>2</sub> may inhibit spinach growth, thereby passively increasing nutrient concentrations through a &#x201c;concentration effect&#x201d;. However, the potential for stress-induced metabolic activation cannot be ruled out. Previous studies have demonstrated that elevated CO<sub>2</sub> can active antioxidant and signaling pathways (<xref ref-type="bibr" rid="B64">Yao et&#xa0;al., 2015</xref>), upregulate defense-related genes (<xref ref-type="bibr" rid="B38">Loewus, 1999</xref>; <xref ref-type="bibr" rid="B57">Wang et&#xa0;al., 2010</xref>), and alter carbon allocation and enzyme regulation (<xref ref-type="bibr" rid="B12">Demmig-Adams and Adams, 1996</xref>). Moreover, enhanced activity of NADPH- and glutathione-related pathways under CO<sub>2</sub> stress has been observed in other C<sub>3</sub> species (<xref ref-type="bibr" rid="B16">Flexas and Medrano, 2002</xref>), further supporting possible biochemical adjustments in spinach.</p>
<p>However, this study lacks an in-depth investigation of the dominant mechanisms underlying nutritional changes in spinach under elevated soil CO<sub>2</sub>. While alterations in vitamin C, vitamin E, oxalate, and cellulose contents were observed, the precise metabolic pathways involved remain unverified. Critical evidence regarding key enzymatic activities, intermediate metabolites, and potential pathway regulations is still lacking. Without further analysis of biosynthetic pathways (such as the <italic>L-galactose</italic> pathway for vitamin C and photorespiratory pathway for oxalate), we cannot determine whether the observed changes result from active metabolic regulation or from the passive concentration effect. In addition, similar experiments should be systematically conducted on other crop species to compare metabolic responses and assess whether the patterns observed in spinach are species-specific or represent a broader physiological response.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This study examined the growth and quality variations of spinach under high soil CO<sub>2</sub> concentrations resulting from carbon capture and storage (CCS) leakage. Regarding nutritional quality, soil CO<sub>2</sub> leakage promoted an increase in vitamins C and E as well as cellulose content in spinach leaves, altering the plant&#x2019;s metabolic pathways. However, the reduction in biomass resulted in a corresponding decrease in the total amount of key nutrients per plant. Additionally, the significant reduction in oxalate content presents a potential avenue for research aimed at mitigating oxalate accumulation in spinach. Elevated soil CO<sub>2</sub> significantly reduced spinach leaf area, relative chlorophyll content (SPAD), and aboveground fresh weight, severely impairing plant growth and photosynthetic efficiency, thereby affecting overall physiological functions. The reduction in fresh weight of the belowground biomass was more pronounced than that of the aboveground biomass, indicating that the root system was susceptible to high CO<sub>2</sub> stress.</p>
<p>Our study quantified spinach&#x2019;s response to soil CO<sub>2</sub> leakage, showing that while CO<sub>2</sub> leakage may enhance specific nutritional components, the damage to biomass reduced overall yield and the total amount of key quality components. These findings highlighted the potential threat posed by changes in soil CO<sub>2</sub> levels to spinach growth and nutritional quality. Our study offers novel insights into how spinach responds to CO<sub>2</sub> leakage, which can assist CCS project stakeholders in more effectively evaluating the safety of CCS technologies and developing appropriate risk management strategies. Future research could further explore the effects of soil CO<sub>2</sub> leakage on the growth and quality of other crops to enhance understanding of its broader implications.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YH: Visualization, Validation, Investigation, Project administration, Writing &#x2013; original draft, Data curation. XZ: Project administration, Funding acquisition, Resources, Supervision, Conceptualization, Writing &#x2013; review &amp; editing, Methodology. XM: Supervision, Funding acquisition, Conceptualization, Writing &#x2013; review &amp; editing, Methodology.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
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<title>Appendix</title>
<p><xref ref-type="app" rid="app1"><bold>Appendix Table&#xa0;1</bold></xref> presents the results of two-way analysis of variance (ANOVA) assessing the main effects of Group (G1500 vs CK), Time (measurement dates), and their interaction (Group &#xd7; Time) on spinach growth parameters, including plant height, maximum leaf length, maximum leaf width, leaf number, and SPAD.</p>
<table-wrap position="float">
<label>Appendix Table&#xa0;1</label>
<caption>
<p>ANOVA results for phenotypic indicators during spinach growth.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Observation</th>
<th valign="middle" align="center">Effect</th>
<th valign="middle" align="center">df</th>
<th valign="middle" align="left">sum_sq</th>
<th valign="middle" align="center">F</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="3" align="left">Height (cm)</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">38.44</td>
<td valign="middle" align="center">11.94</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">109.77</td>
<td valign="middle" align="center">5.12</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Group &#xd7; Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">31.63</td>
<td valign="middle" align="center">1.48</td>
<td valign="middle" align="center">0.17</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Length of maximum leaf (cm)</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">53.76</td>
<td valign="middle" align="center">20.22</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">107.95</td>
<td valign="middle" align="center">5.06</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Group &#xd7; Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">43.05</td>
<td valign="middle" align="center">3.02</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Width of maximum leaf (cm)</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">50.00</td>
<td valign="middle" align="center">16.03</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">193.45</td>
<td valign="middle" align="center">8.88</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Group &#xd7; Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">65.55</td>
<td valign="middle" align="center">3.01</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">Number of leaves</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">5660.08</td>
<td valign="middle" align="center">100.76</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">9859.77</td>
<td valign="middle" align="center">24.28</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Group &#xd7; Time</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">2731.63</td>
<td valign="middle" align="center">6.74</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" rowspan="3" align="left">SPAD</td>
<td valign="middle" align="center">Group</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">1102.60</td>
<td valign="middle" align="center">15.32</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Time</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">19239.60</td>
<td valign="middle" align="center">38.18</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">Group &#xd7; Time</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">14376.73</td>
<td valign="middle" align="center">28.53</td>
<td valign="middle" align="center">0.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>df denotes degrees of freedom, Sum_sq represents the sum of squares, and F is the F-statistic. Larger Sum_sq and F values indicate a more substantial influence of the corresponding factor on the overall variance. Significant P&lt; 0.05 values indicate a statistically significant influence of the corresponding factor.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>To control multiple comparison errors, the Welch <italic>t</italic>-test was used to compare means without assuming equal variances, and the Bonferroni correction was applied. The corrected results are presented in <xref ref-type="app" rid="app1"><bold>Appendix Table&#xa0;2</bold></xref>.</p>
<table-wrap position="float">
<label>Appendix Table&#xa0;2</label>
<caption>
<p>Bonferroni-adjusted pairwise comparisons (Welch <italic>t</italic>-test) between G1500 and CK across time points.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Date</th>
<th valign="middle" colspan="2" align="center">Height (cm)</th>
<th valign="middle" colspan="2" align="center">Length of maximum leaf (cm)</th>
<th valign="middle" colspan="2" align="center">Width of maximum leaf (cm)</th>
<th valign="middle" colspan="2" align="center">Number of leaves</th>
<th valign="middle" colspan="2" align="center">SPAD</th>
</tr>
<tr>
<th valign="middle" align="center"><italic>t</italic></th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center"><italic>t</italic></th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center"><italic>t</italic></th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center"><italic>t</italic></th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center"><italic>t</italic></th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Oct 6</td>
<td valign="middle" align="center">-1.54</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">-1.13</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">-0.78</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">-2.47</td>
<td valign="middle" align="center">0.16</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 10</td>
<td valign="middle" align="center">-2.81</td>
<td valign="middle" align="center">0.06</td>
<td valign="middle" align="center">-4.33</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-3.71</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-1.58</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
<td valign="middle" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 14</td>
<td valign="middle" align="center">-7.14</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-8.45</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-6.56</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-1.74</td>
<td valign="middle" align="center">0.86</td>
<td valign="middle" align="center">-5.27</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 17</td>
<td valign="middle" align="center">-5.73</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-10.17</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-8.66</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-3.21</td>
<td valign="middle" align="center">0.02*</td>
<td valign="middle" align="center">-4.60</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 21</td>
<td valign="middle" align="center">-5.10</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-12.57</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-11.79</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-6.56</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-7.23</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 24</td>
<td valign="middle" align="center">-6.03</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-14.15</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-12.40</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-10.36</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-8.04</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 28</td>
<td valign="middle" align="center">-8.01</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-16.17</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-14.39</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-11.97</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-8.52</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Oct 31</td>
<td valign="middle" align="center">-10.27</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-17.60</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-15.85</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-11.91</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-6.51</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Nov 4</td>
<td valign="middle" align="center">-10.85</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-19.36</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-18.06</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-12.85</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-13.03</td>
<td valign="middle" align="center">0.00**</td>
</tr>
<tr>
<td valign="middle" align="left">Nov 8</td>
<td valign="middle" align="center">-9.29</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-19.85</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-19.62</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-12.10</td>
<td valign="middle" align="center">0.00**</td>
<td valign="middle" align="center">-13.33</td>
<td valign="middle" align="center">0.00**</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>t</italic> denotes the Welch <italic>t</italic>-statistic, and larger |<italic>t</italic>| reflects greater differences between G1500 and CK. P is the Bonferroni-adjusted P-value, representing the significance level after multiple-testing correction, where * denotes P&lt; 0.05 (significant) and ** denotes P&lt; 0.01 (highly significant).</p>
<p>To ensure the validity of the statistical analyses, the assumptions of normality and homogeneity of variances were formally tested for Biomass and quality indicators. The Shapiro&#x2013;Wilk test was used to assess normality, while Levene&#x2019;s test was applied to evaluate the equality of variances between CK and G1500. The detailed results of these tests are presented in <xref ref-type="app" rid="app1"><bold>Appendix Table&#xa0;3</bold></xref>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float">
<label>Appendix Table&#xa0;3</label>
<caption>
<p>Results of the Shapiro&#x2013;Wilk test for normality and Levene&#x2019;s test for homogeneity of variances.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Observation</th>
<th valign="middle" align="center">Date</th>
<th valign="middle" align="center">Treatment</th>
<th valign="middle" align="center">W</th>
<th valign="middle" align="center">P<sub>SW</sub></th>
<th valign="middle" align="center">P<sub>Lev</sub></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Leaf area (cm<sup>2</sup>)</td>
<td valign="middle" rowspan="2" align="center">Oct 14</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.87</td>
<td valign="middle" align="center">0.30</td>
<td valign="middle" rowspan="2" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.81</td>
<td valign="middle" align="center">0.12</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Chlorophyll a (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 17</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.90</td>
<td valign="middle" align="center">0.08</td>
<td valign="middle" rowspan="2" align="center">0.39</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.91</td>
<td valign="middle" align="center">0.10</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Chlorophyll b (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 21</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.98</td>
<td valign="middle" align="center">0.94</td>
<td valign="middle" rowspan="2" align="center">0.07</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">0.47</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Aboveground fresh weight (g)</td>
<td valign="middle" rowspan="2" align="center">Oct 24</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">0.40</td>
<td valign="middle" rowspan="2" align="center">0.17</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.81</td>
<td valign="middle" align="center">0.12</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Aboveground dry weight (g)</td>
<td valign="middle" rowspan="2" align="center">Oct 28</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">1.00</td>
<td valign="middle" align="center">0.04</td>
<td valign="middle" rowspan="2" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.89</td>
<td valign="middle" align="center">0.36</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Aboveground water content (%)</td>
<td valign="middle" rowspan="2" align="center">Oct 31</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.83</td>
<td valign="middle" align="center">0.16</td>
<td valign="middle" rowspan="2" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.78</td>
<td valign="middle" align="center">0.07</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Root weight (g)</td>
<td valign="middle" rowspan="2" align="center">Nov 4</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.99</td>
<td valign="middle" align="center">0.74</td>
<td valign="middle" rowspan="2" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.90</td>
<td valign="middle" align="center">0.08</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Nitrate nitrogen (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Nov 8</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.87</td>
<td valign="middle" align="center">0.03</td>
<td valign="middle" rowspan="2" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.76</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Vitamin C (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 14</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.79</td>
<td valign="middle" align="center">0.00</td>
<td valign="middle" rowspan="2" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.88</td>
<td valign="middle" align="center">0.04</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Vitamin E (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 17</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.98</td>
<td valign="middle" align="center">0.98</td>
<td valign="middle" rowspan="2" align="center">0.35</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.96</td>
<td valign="middle" align="center">0.66</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Flavonoids (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 21</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.96</td>
<td valign="middle" align="center">0.59</td>
<td valign="middle" rowspan="2" align="center">&#x2014;&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.82</td>
<td valign="middle" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Cellulose (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 24</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.94</td>
<td valign="middle" align="center">0.29</td>
<td valign="middle" rowspan="2" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.94</td>
<td valign="middle" align="center">0.36</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">Oxalate (mg/g)</td>
<td valign="middle" rowspan="2" align="center">Oct 28</td>
<td valign="middle" align="center">CK</td>
<td valign="middle" align="center">0.96</td>
<td valign="middle" align="center">0.74</td>
<td valign="middle" rowspan="2" align="center">0.01</td>
</tr>
<tr>
<td valign="middle" align="center">G1500</td>
<td valign="middle" align="center">0.90</td>
<td valign="middle" align="center">0.08</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>In the Shapiro&#x2013;Wilk test, W denotes the test statistic and P<sub>SW</sub> represents the probability of rejecting the null hypothesis of normality; P<sub>SW</sub>&lt; 0.05 indicates a significant deviation from normality. In the Levene&#x2019;s test, P<sub>Lev</sub> denotes the probability of rejecting the null hypothesis of equal variances; P<sub>Lev</sub>&lt; 0.05 indicates unequal variances between CK and G1500. When the normality assumption was not satisfied, Levene&#x2019;s test was not performed.</p></fn>
</table-wrap-foot>
</table-wrap>
</app>
</app-group>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2714152">Silvia Portarena</ext-link>, National Research Council (CNR), Italy</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/756420">Jiban Shrestha</ext-link>, Nepal Agricultural Research Council, Nepal</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3105480">Indra Purnama</ext-link>, Lancang Kuning University, Indonesia</p></fn>
</fn-group>
</back>
</article>