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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1661405</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The beneficial impact of silicon on wheat drought resilience is dependent on cultivar and stress intensity</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shaw</surname>
<given-names>Katie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Thorne</surname>
<given-names>Sarah</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Chapman</surname>
<given-names>Caroline</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Fleming</surname>
<given-names>Andrew</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Hartley</surname>
<given-names>Susan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Gray</surname>
<given-names>Julie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>School of Biosciences, University of Sheffield</institution>, <addr-line>Sheffield</addr-line>,&#xa0;<country>United Kingdom</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biology, University of York</institution>, <addr-line>York</addr-line>,&#xa0;<country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Dominik K. Gro&#xdf;kinsky, Austrian Institute of Technology (AIT), Austria</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Fabio Gomes, Universidade Estadual de Santa Cruz, Brazil</p>
<p>Anna Dimitrova, Bulgarian Academy of Sciences (BAS), Bulgaria</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Katie Shaw, <email xlink:href="mailto:khshaw1@sheffield.ac.uk">khshaw1@sheffield.ac.uk</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>08</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1661405</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Shaw, Thorne, Chapman, Fleming, Hartley and Gray.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Shaw, Thorne, Chapman, Fleming, Hartley and Gray</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Drought has a major impact on crop yields. Silicon (Si) application has been proposed to improve drought resilience via several mechanisms including modifying the level of stomatal gas exchange. However, the impact of Si on transpiration and stomatal conductance varies between studies. We assessed the impact of supplemental Si on wheat water use and drought resilience in two high Si accumulating genotypes that vary in stomatal density and stomatal conductance. These genotypes varied considerably in their responses to Si treatment and short-term severe drought at the booting stage of development. For example, gas exchange measurements revealed that one genotype (H5) showed a significant increase in stomatal conductance with Si treatment, but the other genotype (H3) did not. Application of Si increased yield 3.5-fold in the H5 higher stomatal density genotype following the severe drought but Si had no yield-effect on the H3 lower stomatal density genotype. To determine whether differences in stomatal density could account for these differing Si responses, a modern cultivar, Fielder, was grown alongside a reduced stomatal density mutant, <italic>TaEPF1OE</italic>. Gas exchange measurements again showed that Si had no impact on the stomatal conductance of the lower stomatal density genotype, <italic>TaEPF1OE</italic>, but did increase stomatal conductance in the Fielder background. This is in line with the results from H3 and H5, suggesting that stomatal density plays an important role in the impact of Si treatment on stomatal function. However, following severe drought, Si increased yields in both the <italic>TaEPF1OE</italic> stomatal density mutant and the Fielder background, indicating that stomatal density alone does not account for genotype-specific yield responses seen in H3 and H5. Next, two genotypes that showed yield improvements with Si under short-term severe drought stress (Fielder and H5) were subjected to a longer-term vegetative drought stress. Here, Si had minimal effects on stomatal conductance, water use or biomass, suggesting that the impact of Si on drought resilience is strongly affected by drought type and duration. We conclude that for Si fertilization to be used as an effective drought mitigation strategy, crop cultivar, together with drought intensity and duration, must be considered.</p>
</abstract>
<kwd-group>
<kwd>drought</kwd>
<kwd>gas exchange</kwd>
<kwd>genotype</kwd>
<kwd>silicon</kwd>
<kwd>stomatal density</kwd>
<kwd>water use</kwd>
<kwd>wheat</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="2"/>
<ref-count count="81"/>
<page-count count="10"/>
<word-count count="7841"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Abiotic Stress</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Producing sufficient food to sustainably feed an estimated population of 9.7 billion people by 2050 is a significant challenge, particularly as yield trends are insufficient to meet projected global demands and the impacts of climate change on agriculture are increasing (<xref ref-type="bibr" rid="B61">Ray et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B7">Challinor et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B12">Cole et&#xa0;al., 2018</xref>). The increased frequency and severity of extreme weather events, such as drought, present a major threat to agriculture due to its sensitivity to weather parameters (<xref ref-type="bibr" rid="B52">Malhi et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B33">IPCC, 2023</xref>). For example, from 1964 to 2007, drought periods reduced global cereal yields by 5.1% and harvested area by 4.1% (<xref ref-type="bibr" rid="B42">Lesk et&#xa0;al., 2016</xref>). Wheat plays an essential role in global food security, providing the global population with approximately one fifth of dietary calories and proteins (<xref ref-type="bibr" rid="B21">Erenstein et&#xa0;al., 2022</xref>). However, its yields are susceptible to drought (<xref ref-type="bibr" rid="B80">Zampieri et&#xa0;al., 2017</xref>). Drought stress can reduce wheat yields at all stages of development, although terminal drought, where drought occurs during the flowering and grain-filling stages of development, typically causes the largest reduction in yields (<xref ref-type="bibr" rid="B22">Farooq et&#xa0;al., 2014</xref>). The intensity and duration of drought are also important contributors to the impact of drought stress on wheat yields (<xref ref-type="bibr" rid="B22">Farooq et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B81">Zhang et&#xa0;al., 2018</xref>). Consequently, there is an urgent need to improve the drought resilience of wheat.</p>
<p>Silicon (Si) fertilization has been shown to provide improved resilience against both drought and other stressors including salinity, high ultraviolet (UV) radiation, heavy metal toxicity, nutrient imbalances, pathogens and herbivory (reviewed by e.g. <xref ref-type="bibr" rid="B15">Coskun et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B17">Debona et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B46">Luyckx et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B25">Frew et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B71">Thorne et&#xa0;al., 2020</xref>). A range of mechanisms have been proposed for the alleviation of drought stress by Si; these include modifying gas exchange, reducing oxidative damage, improving photosynthetic rate, improving water uptake from the soil, increasing mineral nutrient uptake and regulating phytohormone synthesis. Whilst Si is the second most abundant element in soils, it is only accessible to plants as monosilicic acid, Si(OH)<sub>4</sub> (<xref ref-type="bibr" rid="B60">Raven, 1983</xref>; <xref ref-type="bibr" rid="B28">Gocke et&#xa0;al., 2013</xref>). This form of Si is soluble in the soil at pH&lt; 9 and concentrations below 2 mM Si(OH)<sub>4</sub>, with soils typically containing Si(OH)<sub>4</sub> concentrations of 0.1-0.6 mM (<xref ref-type="bibr" rid="B20">Epstein, 1994</xref>; <xref ref-type="bibr" rid="B49">Ma and Yamaji, 2006</xref>). Soils can therefore contain high levels of total Si, but low and potentially deficient levels of plant-available Si (<xref ref-type="bibr" rid="B71">Thorne et&#xa0;al., 2020</xref>).</p>
<p>Plants vary considerably in their abilities to accumulate Si (<xref ref-type="bibr" rid="B31">Hodson et&#xa0;al., 2005</xref>), with rice accumulating up to 10% Si by dry mass (<xref ref-type="bibr" rid="B20">Epstein, 1994</xref>). Seven of the ten crops with the highest global production are known Si accumulators, including rice, wheat, barley and maize (<xref ref-type="bibr" rid="B29">Guntzer et&#xa0;al., 2012</xref>). The ability to accumulate different levels of Si has been associated with Si transporters initially identified in rice, with several homologs being discovered in other species more recently (<xref ref-type="bibr" rid="B56">Mitani-Ueno and Ma, 2021</xref>). In rice, a combination of passive and active efflux transporters transport Si from the soil through the roots into the xylem (<xref ref-type="bibr" rid="B48">Ma et&#xa0;al., 2006</xref>, <xref ref-type="bibr" rid="B51">2007</xref>; <xref ref-type="bibr" rid="B32">Huang et&#xa0;al., 2022</xref>). From here, it is translocated to the shoot via transpiration before being unloaded and deposited as hydrated silica (SiO<sub>2</sub>&#xb7;nH<sub>2</sub>O) at target sites, again through a combination of passive and active transporters (<xref ref-type="bibr" rid="B78">Yamaji et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B57">Mitani-Ueno et&#xa0;al., 2023</xref>). This form of Si is immobile and cannot be redistributed once deposited (<xref ref-type="bibr" rid="B20">Epstein, 1994</xref>), though Si can be directed to specific sites within the plant (<xref ref-type="bibr" rid="B73">Thorne et&#xa0;al., 2023</xref>).</p>
<p>In addition to this strong link between Si uptake and transpiration, Si has been proposed to improve the resilience of plants to drought stress through alterations in gas exchange, with several studies showing that Si fertilization can impact both transpiration and stomatal conductance (g<sub>s</sub>). For example, Si treatment has been observed to increase (<xref ref-type="bibr" rid="B30">Hattori et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B2">Ashfaq et&#xa0;al., 2024</xref>), have no impact on (<xref ref-type="bibr" rid="B34">Johnson et&#xa0;al., 2022</xref>) or decrease (<xref ref-type="bibr" rid="B26">Gao et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B27">2006</xref>) g<sub>s</sub> and transpiration in drought-stressed plants in a variety of species. A recent meta-analysis of 34 studies (excluding rice) explored the role of Si in plant water movement; here, the authors found that Si had no consistent pattern on these parameters in unstressed plants, but significantly increased g<sub>s</sub> (although not transpiration) in drought-stressed plants (<xref ref-type="bibr" rid="B13">Cooke and Carey, 2023</xref>).</p>
<p>One mechanism through which Si has been proposed to impact transpiration is by altering root hydraulic conductance through the regulation of aquaporin activity (<xref ref-type="bibr" rid="B45">Liu et&#xa0;al., 2015</xref>). Another potential mechanism is the sub-cuticular deposition of Si, which has been suggested to reduce transpiration from the cuticle by acting as a physical barrier, although the contribution this could make to total leaf transpiration is small compared to water loss via the stomata (<xref ref-type="bibr" rid="B1">Agarie et&#xa0;al., 1998</xref>). Other studies have suggested that Si deposited in the cell walls of stomatal complexes may play a role in altering the gas exchange of Si-treated plants. For example, <xref ref-type="bibr" rid="B74">Ueno and Agarie (2005)</xref> proposed that silica deficiency in the cell walls of rice stomatal complexes could increase evaporative water loss from the epidermis, thus disrupting the generation of turgor pressure required for stomatal opening/closure. More recent research in tall fescue (<italic>Festuca arundinacea</italic>) has suggested that the deposition of Si in stomatal guard cells could promote increased stomatal sensitivity, mediated by K<sup>+</sup> transporters (<xref ref-type="bibr" rid="B75">Vandegeer et&#xa0;al., 2021</xref>).</p>
<p>Given the impact of Si treatment on gas exchange varies between different experiments, the specific mechanistic steps that occur between Si fertilizer application and an altered gas exchange response remain poorly understood (<xref ref-type="bibr" rid="B15">Coskun et&#xa0;al., 2016</xref>). Furthermore, it is unclear how alterations in gas exchange can lead to improvements in drought resilience. Despite these complexities, however, many studies do report significant biomass and/or yield increases with Si treatment under drought stress in wheat (e.g. <xref ref-type="bibr" rid="B5">Bukhari et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B3">Ayed et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B34">Johnson et&#xa0;al., 2022</xref>), though some do not (<xref ref-type="bibr" rid="B72">Thorne et&#xa0;al., 2021</xref>), and responses are often genotype-specific (<xref ref-type="bibr" rid="B72">Thorne et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B3">Ayed et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B10">Christian et&#xa0;al., 2023</xref>).</p>
<p>This study investigated mechanisms underpinning this variation by quantifying the impact of Si treatment on wheat water use and drought resilience. To do this, we first assessed the impact of Si treatment on two wheat genotypes under well-watered and drought conditions. We then explored potential factors driving the observed genotype-specific responses to Si treatment, focusing on differences in stomatal density. Finally, we investigated how the type and duration of drought (watering regime) affected the ability of Si to provide drought alleviation.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Plant material, experimental design and growth conditions</title>
<p>To study the impact of Si treatment on wheat (<italic>Triticum aestivum</italic>) water use and drought resilience under different types of drought stress, three different experimental pipelines were followed.</p>
<p>Whilst watering regime varied between experiments, plants were always subjected to one of four treatments: (a) 0 mM Si, well-watered; (b) 0 mM Si, drought; (c) 1.8 mM Si, well-watered; or (d) 1.8 mM Si, drought. The 1.8 mM Si treatment was implemented by adding 1.8 mM sodium metasilicate (Na<sub>2</sub>SiO<sub>3</sub>&#xb7;H<sub>2</sub>O) to compost and 3.6 mM sodium chloride (NaCl) was used for the 0 mM Si treatment (to balance the Na<sup>+</sup> ions).</p>
<p>Experiments 1 and 3 were carried out in controlled environment chambers (16-hour/20&#xb0;C day, 8-hour/16&#xb0;C night, 60% relative humidity, 400 &#x3bc;mols<sup>-1</sup>m<sup>-2</sup> PPFD). Experiment 2 was carried out in a controlled glasshouse (16-hour/20&#xb0;C day, 8-hour/16&#xb0;C night, 50% relative humidity).</p>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Experiment 1 (Exp1): short-term severe drought stress imposition</title>
<p>To investigate the impact of Si treatment on wheat water use and drought resilience, two high Si accumulating genotypes (H3 and H5) from the YoGI biodiversity panel were selected (<xref ref-type="bibr" rid="B72">Thorne et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B4">Barratt et&#xa0;al., 2023</xref>). High Si accumulating genotypes were studied to maximize the differences in plant Si concentration between Si treatments.</p>
<p>Germinated seedlings were transplanted into 11 x 11 x 12&#xa0;cm pots containing 400&#xa0;g 6:1 M3 compost (Levington):perlite supplemented with slow-release fertilizer (Osmocote Exact Standard 5-6). The growth substrate had a plant-available Si concentration of 0.23 &#xb1; 0.04 mM, as determined using the molybdate method following CaCl<sub>2</sub> extraction (<xref ref-type="bibr" rid="B65">Sauer et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B44">Liang et&#xa0;al., 2015</xref>). Pots were arranged within trays containing 3 plants per genotype. For each genotype and treatment, n=9 (apart from H5 in treatment (b) where n=8). Trays were supplied with equal amounts of 0 mM or 1.8 mM Si solution 3 times a week and kept well-watered with additional water if needed. To implement drought stress, Si treatments and additional watering were withheld for 11 days around the booting stage of development (weeks 8/9) for droughted plants. Si treatments stopped for well-watered plants during this period, but water was still supplied. After 11 days, pre-drought Si and watering regimes were resumed. Plants were then grown to yield.</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Experiment 2 (Exp2): drought treatment of low stomatal density wheat</title>
<p>To explore the role of stomatal density in the response of wheat to Si treatment and drought stress, a modern cultivar (Fielder) was grown alongside a reduced stomatal density Fielder line (<italic>TaEPF1OE</italic>). The phenotype in <italic>TaEPF1OE</italic> is achieved by overexpressing <italic>EPF1 (EPIDERMAL PATTERNING FACTOR 1)</italic>, which encodes a negative regulator of stomatal development (<xref ref-type="bibr" rid="B19">Dunn et&#xa0;al., 2019</xref>).</p>
<p>Germinated seedlings were transplanted into 11 x 11 x 12&#xa0;cm pots containing 450&#xa0;g F2+S compost (Levington; plant-available Si concentration of 0.13 &#xb1; 0.04 mM) supplemented with osmocote and thinned to 1 plant per pot after 12 days. Pots were arranged within trays containing 2 plants per genotype. For each genotype and treatment, n=10. Si treatments and drought stress were carried out as described in Exp1, with the exceptions of drought stress being implemented during weeks 7/8 (to align with the booting stage of the development) and the drought stress lasting 7 days (as plants dried out more quickly). Plants were then grown to yield.</p>
</sec>
<sec id="s2_1_3">
<label>2.1.3</label>
<title>Experiment 3 (Exp3): long-term drought stress imposition</title>
<p>Following significant results in Exp1 and Exp2, H5 and Fielder were subjected to a differing water regime. This experiment aimed to test if their responses to Si treatment under drought stress are specific to the watering regime.</p>
<p>Germinated seedlings were transplanted into 9 x 9 x 10&#xa0;cm pots containing 270&#xa0;g F2+S compost supplemented with osmocote and thinned to 1 plant per pot after 1 week. Pots were arranged within trays containing 4 plants per genotype. For each genotype and treatment, n=8. This experiment aimed to subject plants to contrasting relative Soil Water Contents, rSWC (80% <italic>vs</italic> 20% rSWC). 100% rSWC was determined by fully soaking 6 pots containing compost (but no plants), before draining and weighing. These pots were then dried at 60&#xb0;C until constant mass was achieved (0% rSWC). Target masses for experimental pots were then calculated using the mean 100% and 0% rSWC values and the following equations:</p>
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<p>Plants were initially well-watered 3 times a week with equal amounts of 0 mM or 1.8 mM Si solutions. After 2 weeks, watering was stopped until pots reached their target masses. Prior to all pots reaching their target masses, pots that had dropped below their target masses were watered with appropriate amounts of water. When all plants had reached their target masses, equal amounts of 0 mM or 1.8 mM Si solutions were added to each pot, with the amount added being the minimum mass difference observed between a pot&#x2019;s mass and its target mass. Any mass difference was made up by adding water. Pots were weighed and Si treated/watered 3 times a week.</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Water use during drought</title>
<p>During the drought stress implemented in Exp1 and Exp2, droughted plants were weighed daily at 15:00. Normalized pot masses were calculated by dividing each pot&#x2019;s daily mass by its mass at the start of the drought period. Normalized water use during drought was determined by subtracting the final day&#x2019;s normalized pot mass from the first day&#x2019;s normalized pot mass. In Exp3, pots were weighed 3 times per week during the drought period from 15:00. Total water added during drought was calculated by summing the pot mass difference between each time point measured during drought.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Stomatal density measurements</title>
<p>Dental resin was used to make negative impressions of abaxial and adaxial surfaces at the mid-point of recently fully expanded leaves (Exp1: leaf 6, week 6; Exp2: leaf 5, weeks 5-6; and Exp3: leaf 6 for H5, leaf 5 for Fielder, week 6). Resin impressions were coated with clear nail varnish. Once dried, nail varnish impressions were mounted on slides and visualized at 10X magnification using a Brunel n300-M light microscope equipped with a Prior ES10ZE Focus Controller and Moticam 5 camera. 5 images were taken per slide. ImageJ (<xref ref-type="bibr" rid="B66">Schneider et&#xa0;al., 2012</xref>) was used to attain the mean abaxial, adaxial and total stomatal densities (as stomata mm<sup>-2</sup>) for each plant.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Gas exchange measurements</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Light shifts</title>
<p>For Exp1 and Exp2, the responses of stomatal conductance (g<sub>s</sub>) and photosynthetic assimilation (A) to shifts in light intensity were recorded using two portable infrared gas analyzers (IRGAs, LI-6800, LI-COR, USA). The mid-section of recently fully expanded leaves was used (Exp1: leaf 6, week 6; and Exp2: leaf 5, weeks 5-6). Measurements were carried out at 400 ppm CO<sub>2</sub>, with a leaf temperature of 20&#xb0;C, a fan speed of 10000 rpm, an air flow of 400 &#x3bc;mols<sup>-1</sup> and a relative humidity of 60% (Exp1) or 50% (Exp2). IRGAs were matched a few minutes after leaves were clamped into the chamber. The light source was first set to 100 PAR and plants were allowed to stabilize. The light shift protocol involved the following steps: 5 minutes at 100 PAR; 90 (Exp1) or 60 (Exp2) minutes at 1000 PAR (opening response); and 90 (Exp1) or 60 (Exp2) minutes at 100 PAR (closing response). A and g<sub>s</sub> were recorded every minute. Data points recorded at the exact time of the light shifts were removed, as were any negative g<sub>s</sub> values. The initial g<sub>s</sub> (initial g<sub>min</sub>) was recorded as the final data point during the first 5 minutes at 100 PAR. g<sub>min</sub> for the closing response (closing g<sub>min</sub>) was extracted as the minimum g<sub>s</sub> reached during the final 100 PAR step.</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Steady-state</title>
<p>In Exp3, steady-state gas exchange measurements were carried out using three portable infrared gas analyzers (IRGAs, LI-6800, LI-COR, USA) during week 6. The mid-section of the most recently fully expanded leaf was used (leaf 6 for H5, leaf 5 for Fielder). Measurements were carried out at the same conditions as Exp1, but with the light source set to 400 PAR. Plants were allowed to stabilize before A and g<sub>s</sub> were recorded every 30 seconds for 5 minutes. These data points were averaged for each plant to calculate mean steady-state values of A, g<sub>s</sub> and intrinsic water use efficiency (iWUE, A/g<sub>s</sub>).</p>
</sec>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Si measurements</title>
<p>To measure Si concentration, several leaves from each plant were collected and fully dried at 60&#xb0;C (Exp1: week 11; Exp2: week 7; and Exp3: week 6). As described previously (<xref ref-type="bibr" rid="B63">Reidinger et&#xa0;al., 2012</xref>), dried leaf material was ground using a TissueLyser II (Qiagen, Manchester, UK) and pressed into pellets using a manual hydraulic press at 10 tons with a 13&#xa0;mm die (Specac, Orpington, UK). A portable X-ray fluorescence (P-XRF) instrument (Nitron XL3t900 GOLDD analyzer, Thermo Scientific, Winchester UK) in a test stand (SmartStand, Thermo Scientific) was used to measure Si concentration (%). Once calibrated (using Si-spiked synthetic methyl cellulose, Sigma-Aldrich, product no. 274429) and validated (using Certified Reference Materials of NCS DC73349 &#x2018;Bush, branches and leaves&#x2019; obtained from China National Analysis Center for Iron and Steel), measurements were performed under a helium atmosphere to avoid signal loss by air absorption. Both sides of each pellet were measured and readings were averaged to calculate the mean Si concentration (%) of each pellet.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Yield measurements</title>
<p>For Exp1 and Exp2, yield measurements were carried out when plants were fully dried. For each plant, the total aboveground dried biomass and total seed mass was measured. In Exp3, plants were harvested at the end of week 6, fully dried at 60&#xb0;C and weighed for total aboveground dried biomass.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Statistical analyses</title>
<p>All statistical analyses were performed using R software version 4.4.1 (<xref ref-type="bibr" rid="B62">R Core Team, 2024</xref>) and figures were produced using ggplot2 (<xref ref-type="bibr" rid="B76">Wickham, 2016</xref>). All data are presented as mean &#xb1; standard error unless otherwise stated. Two-way or three-way ANOVAs using the aov() function were performed to test the effect of genotype, Si treatment and drought treatment on various parameters. Data normality was checked using Q-Q plots and Shapiro-Wilk tests (shapiro.test() function). Levene&#x2019;s test (leveneTest() function) was used to check for equal variance (<xref ref-type="bibr" rid="B24">Fox and Weisberg, 2019</xref>). If data were transformed to meet ANOVA assumptions, or did not satisfy ANOVA assumptions, this is noted in the relevant <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables</bold>
</xref>. The emmeans() function (<xref ref-type="bibr" rid="B41">Lenth, 2024</xref>) was used for <italic>post-hoc</italic> comparisons, testing for statistically significant pairwise differences in parameter means between the 0 mM and 1.8 mM Si treatments for each genotype/drought treatment.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>High Si accumulating genotypes varied significantly in stomatal density and in their responses to Si treatment and drought stress</title>
<p>To investigate the impact of Si treatment on wheat water use and drought resilience, two high Si accumulating genotypes (H3 and H5) were studied. To check whether the two genotypes displayed any intrinsic differences in stomatal characteristics which might influence the water-use response to exogenous Si, we first measured stomatal density, both with and without supplemental Si. Total stomatal density (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) varied significantly between genotypes (F<sub>1,67</sub>=256.0, P&lt;0.0001) and Si treatments (F<sub>1,67</sub>=5.7, P=0.0201). These comparisons were also significant for abaxial stomatal density, although only genotype had a significant impact on the adaxial surface values (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1A, B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Total basal stomatal density was approximately 1.5 times higher in H5 than in H3, with Si treatment significantly reducing total stomatal density in H3 (t<sub>67</sub>=2.7, P=0.0078) but having no impact on H5 (t<sub>67</sub>=0.6, P=0.544).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Impact of Si on high Si accumulating wheat genotypes H3 and H5 (Exp1). <bold>(A)</bold> Stomatal density (total of abaxial and adaxial) of leaf 6 on 6-week-old plants (n=17-18). <bold>(B)</bold> Response of g<sub>s</sub> to shifts in light intensity, measured by infra-red gas analysis of leaf 6 on 6-week-old plants (n=5-6). Grey-shaded background represents 100 PAR (low light) and white background 1000 PAR (high light). <bold>(C)</bold> Initial g<sub>min</sub>, the final data point during the first 5 minutes after readings stabilised at 100 PAR, extracted from panel B (n=5-6). <bold>(D)</bold> Closing g<sub>min</sub>, the minimum g<sub>s</sub> reached during the final 100 PAR step extracted from panel B (n=5-6). <bold>(E)</bold> Normalised daily pot masses during drought, calculated by dividing each pot mass by its mass at the start of the drought period (n=8-9). Insets show total water use during drought, calculated by subtracting the final day normalised pot mass from the first day normalised pot mass (n=8-9). Blue points represent 0 mM Si treatment, red points represent 1.8 mM Si treatment. Mean values &#xb1; SE are shown. The emmeans() package in R was used to test for statistically significant pairwise differences in parameter means between the 0 mM and 1.8 mM Si treatments for each genotype. ns non-significant, P&lt;0.1 ~, P&lt;0.01 **, P&lt;0.001 ***.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661405-g001.tif">
<alt-text content-type="machine-generated">Multi-panel figure displaying the impact of silicon treatment on high Si accumulating wheat genotypes H3 and H5. Panel A shows stomatal density where Si treatment significantly reduced stomatal density in the genotype H3. Panel B presents stomatal conductance over time with changing light intensities (100 PAR for 5 minutes, then 1000 PAR for 90 minutes, then 100 PAR for 90 minutes). For H5, Si treatment tended to increase stomatal conductance at both light levels. Panel C shows the initial conductance at 100 PAR and panel D shows the minimum conductance reached in the second 100 PAR step during stomatal closure. Here, Si treatment significantly increased the minimum conductance in the genotype H5. Panel E shows normalised daily pot masses during drought, where pot masses decline during the drought period. Insets in panel E show that Si treatment significantly reduced total water use during drought for both genotypes (H3 and H5).</alt-text>
</graphic>
</fig>
<p>To find out whether these differences in stomatal density were reflected in stomatal conductance (g<sub>s</sub>), infra-red gas exchange analysis (IRGA) was performed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). In accordance with the observed differences in stomatal densities, the genotype H5 reached much higher levels of g<sub>s</sub> than H3 during light shift experiments in the IRGA leaf chamber. In the presence of 1.8 mM Si, the H3 plants showed a slightly reduced g<sub>s</sub> compared to plants grown with no Si supplementation, in line with the observed decrease in stomatal density. In contrast, there was an increase in g<sub>s</sub> in the H5 plants supplemented with Si, particularly under low light levels, despite there being no observable shift in stomatal density. To quantify this, we extracted the parameter g<sub>min</sub> from both the start of the light shifts (initial g<sub>min</sub>) and during the closing response (closing g<sub>min</sub>). Interestingly, g<sub>min</sub> varied significantly with genotype and Si treatment in both the initial measurement (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>, G: F<sub>1,18</sub>=37.7, P&lt;0.0001; Si: F<sub>1,18</sub>=6.1, p=0.0233) and in the closing response (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>, G: F<sub>1,18</sub>=20.3, P=0.000275; Si: F<sub>1,18</sub>=10.2 P=0.00498). <italic>Post-hoc</italic> testing highlighted a non-significant trend for increased initial g<sub>min</sub> (t<sub>18</sub>=-1.9, P=0.0771) and a significant increase in g<sub>min</sub> for H5 closing after Si treatment (t<sub>18</sub>=-3.5, P=0.0028). This suggests that Si treatment resulted in a reduction in the ability of stomata to fully close under low light conditions in a genotype-specific manner. In contrast to g<sub>s</sub>, minimal differences were observed between genotypes and Si treatments for the rate of carbon assimilation, A (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1C</bold>
</xref>).</p>
<p>To investigate whether there were differences in overall water-use during drought between plants supplied with or without 1.8 mM Si, pot masses were monitored over time subsequent to the initiation of drought (withholding of water) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>). Pot masses decreased considerably during the 11-day drought period for both genotypes irrespective of treatment, with Si treatment significantly reducing the normalized total water use during drought (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>, F<sub>1,31</sub>=27.0, P&lt;0.0001). Si-treated plants used around 5% less water than control plants in both H3 (t<sub>31</sub>=3.4, P=0.0016) and H5 (t<sub>31</sub>=3.9, P=0.0005).</p>
<p>To assess the accumulation of Si during the experiment, XRF measurements were carried out on leaves sampled post-drought. These results showed that Si supplementation significantly increased leaf Si concentration (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1D</bold>
</xref>, F<sub>1,63</sub>=204.1, P&lt;0.0001), with Si concentration varying significantly between genotypes (F<sub>1,63</sub>=11.4, P=0.00126).</p>
<p>There were significant differences in aboveground biomass between genotypes (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>, F<sub>1,62</sub>=4.8, P=0.0322), with drought treatment causing significant reductions in biomass (F<sub>1,62</sub>=499.2, P&lt;0.0001). Significant interaction terms (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>) suggest that the impact of Si treatment and drought stress on aboveground biomass varied between genotypes, with Si-treated H5 accumulating significantly increased biomass in both well-watered (t<sub>62</sub>=-2.3, P=0.0260) and drought (t<sub>62</sub>=-2.1, P=0.0357) conditions but Si treatment having no significant impact on the biomass of H3.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Impact of Si treatment and drought stress on yield measurements for high Si accumulating genotypes H3 and H5 (Exp1). <bold>(A)</bold> Aboveground biomass (n=8-9). <bold>(B)</bold> Total seed mass (n=8-9). Blue points represent 0 mM Si treatment, red points represent 1.8 mM Si treatment. Closed points represent well-watered plants, open points represent droughted plants. Mean values &#xb1; SE are shown. The emmeans() package in R was used to test for statistically significant pairwise differences in parameter means between the 0 mM and 1.8 mM Si treatments for each genotype and drought treatment. ns non-significant, P&lt;0.1 ~, P&lt;0.05 *, P&lt;0.001 ***.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661405-g002.tif">
<alt-text content-type="machine-generated">A two-panel figure displaying the effect of Si and drought treatment on yield measurements for high Si accumulating genotypes H3 and H5. Panel A displays aboveground biomass. Here, Si treatment had no significant impact on H3 but significantly increased aboveground biomass for H5 under well-watered and drought conditions. Panel B displays total seed mass. Si treatment only significantly increased the total seed mass of H5 under drought conditions and had no significant impact on other pairwise comparisons.</alt-text>
</graphic>
</fig>
<p>Total seed mass was significantly and drastically reduced by drought treatment (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, F<sub>1,62</sub>=1041.7, P&lt;0.0001). Si treatment acted significantly differently on the two genotypes (G x Si: F<sub>1,62</sub>=6.5, P=0.0131). In H5, Si treatment significantly alleviated the impact of drought on seed yield, with total seed mass being 3.5-fold higher for plants supplied with Si under drought stress relative to plants droughted and not supplied with Si (t<sub>62</sub>=-3.5, P=0.0009). However, there was no impact of Si on H5 under well-watered conditions or on H3 under well-watered or drought conditions (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Altering stomatal density impacted the response of g<sub>s</sub> to Si treatment but had limited impact on other plant responses to Si treatment and drought stress</title>
<p>To investigate whether the differences in response to Si between H3 and H5 genotypes described above could be mechanistically driven by their intrinsic differences in stomatal density (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), we performed a series of experiments using a transgenic wheat line engineered to have a lower stomatal density, <italic>TaEPF1OE</italic> (<xref ref-type="bibr" rid="B19">Dunn et&#xa0;al., 2019</xref>). Since this line had been engineered in the Fielder background, a non-transgenic Fielder line was used as the appropriate control for these experiments. A similar set of experiments (as described for H3 and H5) was performed, with the results shown in <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref> and <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Impact of Si on reduced stomatal density mutant (<italic>TaEPF1OE</italic>) and non-transgenic Fielder control genotype (Exp2). <bold>(A)</bold> Total stomatal density of leaf 5 on 5-6-week-old plants (n=20). <bold>(B)</bold> Response of g<sub>s</sub> to shifts in light intensity, measured using infra-red gas analysis on leaf 5 during weeks 5-6 (n=6). Grey-shaded background represents 100 PAR (low light) and white background 1000 PAR (high light). <bold>(C)</bold> Initial g<sub>min</sub> (n=6). <bold>(D)</bold> Closing g<sub>min</sub> (n=6). <bold>(E)</bold> Normalised daily pot masses during drought. Insets show total water use during drought (n=10). Blue points represent 0 mM Si treatment, red points represent 1.8 mM Si treatment. Mean values &#xb1; SE are shown. The emmeans() package in R was used to test for statistically significant pairwise differences in parameter means between the 0 mM and 1.8 mM Si treatments for each genotype. ns non-significant, P&lt;0.1 ~.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661405-g003.tif">
<alt-text content-type="machine-generated">Multi-panel figure displaying the impact of Si treatment on reduced stomatal density mutant (TaEPF1OE) and non-transgenic Fielder control genotype. Panel A shows stomatal density where Si treatment had no significant impacts on either genotype. Panel B presents stomatal conductance over time with changing light intensities (100 PAR for 5 minutes, then 1000 PAR for 60 minutes, then 100 PAR for 60 minutes). For Fielder, Si treatment tended to increase stomatal conductance at both light levels. Panel C shows the initial conductance at 100 PAR and panel D shows the minimum conductance reached in the second 100 PAR step during stomatal closure. Panel E shows normalised daily pot masses during drought, where pot masses decline during the drought period. Insets in panel E show that Si treatment had no significant impact on total water use during drought for both genotypes.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Impact of Si treatment and drought stress on yield measurements for reduced stomatal density mutant (<italic>TaEPF1OE</italic>) and control Fielder genotype (Exp2). <bold>(A)</bold> Aboveground biomass (n=10). <bold>(B)</bold> Total seed mass (n=10). Blue points represent 0 mM Si treatment, red points represent 1.8 mM Si treatment. Closed points represent well-watered plants, open points represent droughted plants. Mean values &#xb1; SE are shown. The emmeans() package in R was used to test for statistically significant pairwise differences in parameter means between the 0 mM and 1.8 mM Si treatments for each genotype and drought treatment. ns non-significant, P&lt;0.05 *, P&lt;0.01 **, P&lt;0.001 ***.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661405-g004.tif">
<alt-text content-type="machine-generated">A two-panel figure displaying the effect of Si and drought treatment on yield measurements for reduced stomatal density mutant (TaEPF1OE) and control Fielder genotype. Panel A displays aboveground biomass. Here, Si treatment significantly increased aboveground biomass in Fielder in drought conditions and in TaEPF1OE under both well-watered and drought conditions. Panel B displays total seed mass. Si treatment significantly increased the total seed mass of both genotypes in both well-watered and drought conditions.</alt-text>
</graphic>
</fig>
<p>As expected, the <italic>TaEPF1OE</italic> line had a significantly lower stomatal density compared to Fielder (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>, F<sub>1,76</sub>=472.2, P&lt;0.0001). This decrease in stomatal density was observed on both the abaxial and adaxial surfaces of the leaf (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;2A, B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>). After Si treatment, there were minimal significant changes in total stomatal density in the <italic>TaEPF1OE</italic> line or the background Fielder line (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;5</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>7</bold>
</xref>). This contrasted with the significant decrease in stomatal density observed in H3 after Si treatment but was in line with results for H5 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>).</p>
<p>Minimal differences in g<sub>s</sub> were observed between Si treatments in the low stomatal density line <italic>TaEPF1OE</italic> under IRGA light shifts (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). However, increases in g<sub>s</sub> in Si-treated plants were observed for the non-transgenic Fielder line under both 1000 and 100 PAR light, similar to the changes observed in H5 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The impact of genotype and Si treatment on g<sub>min</sub> varied between the initial g<sub>min</sub> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>, G: F<sub>1,20</sub>=2.5, P=0.132; Si: F<sub>1,20</sub>=1.5, P=0.236) and closing g<sub>min</sub> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>, G: F<sub>1,20</sub>=7.1, P=0.0150; Si: F<sub>1,20</sub>=3.2, P=0.0896) for both the <italic>TaEPF1OE</italic> and Fielder lines. As seen for H5 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>), Si supplementation of Fielder increased closing g<sub>min</sub>, although this was not quite significant (t<sub>20</sub>=-1.9, P=0.0769). Si treatment and genotype had no impact on rate of carbon assimilation, A, under IRGA light shifts for these lines (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2C</bold>
</xref>).</p>
<p>Si treatment significantly increased Si concentration in pre-drought plants for both <italic>TaEPF1OE</italic> and Fielder lines (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2D</bold>
</xref>, F<sub>1,76</sub>=824.8, P&lt;0.0001). Notably, genotype had no significant impact on Si concentration (F<sub>1,76</sub>=0.8, P=0.377), suggesting that the reduction in stomatal density in <italic>TaEPF1OE</italic> plants had no impact on Si uptake.</p>
<p>In contrast to the H3 and H5 genotypes, Si treatment had no significant impact on normalized total water use during drought for both <italic>TaEPF1OE</italic> and Fielder lines (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>, F<sub>1,36</sub>=1.3, P=0.259), although there was a trend for decreased water use during drought following Si treatment.</p>
<p>Drought stress significantly reduced aboveground biomass (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>, F<sub>1,72</sub>=769.0, P&lt;0.0001) and total seed mass (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>, F<sub>1,72</sub>=794.4, P&lt;0.0001) in both <italic>TaEPF1OE</italic> and Fielder lines. In general, these yield parameters were significantly increased with Si treatment relative to control and were significantly higher in Fielder compared to <italic>TaEPF1OE</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;6</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>8</bold>
</xref>). In genotype-specific Si treatment comparisons, 1.8 mM Si treatment significantly increased total seed mass for both genotypes under both well-watered (<italic>TaEPF1OE</italic>: +18.6%, t<sub>72</sub>=-3.2, P=0.0020; Fielder: +9.2%, t<sub>72</sub>=-2.1, P=0.0371) and droughted (<italic>TaEPF1OE</italic>: +80.1%, t<sub>72</sub>=-3.2, P=0.0018; Fielder: +28.8%, t<sub>72</sub>=-2.2, P=0.0348) conditions. This suggests that Si supplementation can be beneficial under non-stressed conditions as well as during stress, but this observation is likely specific to genotype and growth conditions.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>The responses of H5 and Fielder lines to Si treatment depend upon the watering regime</title>
<p>It was hypothesized that the observed increases in g<sub>min</sub> with Si treatment in H5 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>) and Fielder (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) during IRGA light shifts could help improve wheat drought resilience under a more prolonged drought stress by allowing plants to maintain g<sub>s</sub> and thus A. We investigated this by subjecting H5 and Fielder to contrasting relative Soil Water Contents, rSWC (80% <italic>vs</italic> 20% rSWC), throughout vegetative growth. Given these genotypes both exhibited significant increases in biomass and total seed mass under short-term severe drought stress with Si treatment (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>), we further hypothesized that Si-treated plants would show increases in aboveground biomass under 20% rSWC. In contradiction to our hypotheses, most parameters measured were only significantly impacted by genotype and/or rSWC, with Si treatment having minimal significant impacts (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;9</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>10</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Impact of Si treatment and rSWC on H5 and Fielder genotypes (Exp3). <bold>(A)</bold> Total stomatal density of leaf 6 for H5, leaf 5 for Fielder on 6-week-old plants (n=8). <bold>(B)</bold> Steady-state g<sub>s,</sub> measured using infra-red gas analysis on leaf 6 for H5, leaf 5 for Fielder during week 6 (n=6). <bold>(C)</bold> Total water volume added to each pot to maintain 80% or 20% rSWC; i.e. total water use during the drought period (n=8). <bold>(D)</bold> Aboveground dry biomass of plants harvested at the end of week 6 (n=8). Blue points represent 0 mM Si treatment, red points represent 1.8 mM Si treatment. Closed points represent 80% rSWC treatment, open points represent 20% rSWC treatment. Mean values &#xb1; SE are shown. The emmeans() package in R was used to test for statistically significant pairwise differences in parameter means between the 0 mM and 1.8 mM Si treatments for each genotype and rSWC treatment. ns non-significant, P&lt;0.1 ~.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661405-g005.tif">
<alt-text content-type="machine-generated">A multi-panel figure showing the impact of Si treatment and relative soil water content of H5 and Fielder genotypes. Panel A shows stomatal density. Panel B shows steady-state stomatal conductance. Panel C presents total water volume added to each pot to maintain target rSWC. Panel D displays the aboveground biomass. In all pairwise comparisons within each genotype and rSWC treatment, Si treatment had no significant impact on any of the parameters measured.</alt-text>
</graphic>
</fig>
<p>Total stomatal density (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>) varied significantly between the H5 and Fielder lines (F<sub>1,56</sub>=10.0, P=0.00247), with the 20% rSWC treatment significantly increasing stomatal density compared to the 80% rSWC treatment (F<sub>1,56</sub>=42.4, P&lt;0.0001). The same observations were also made for the abaxial and adaxial surfaces (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;3A, B</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;9</bold>
</xref>).</p>
<p>Steady-state IRGA measurements showed that Si treatment had no significant impact on g<sub>s</sub>, A or iWUE under these conditions for these two genotypes (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;3C, D</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;9</bold>
</xref>). In contrast, reducing rSWC significantly reduced g<sub>s</sub> (F<sub>1,40</sub>=91.8, P&lt;0.0001) and A (F<sub>1,40</sub>=47.7, P&lt;0.0001), whilst significantly increasing iWUE (F<sub>1,40</sub>=116.8, P&lt;0.0001). In accordance with these steady-state g<sub>s</sub> and iWUE results, total water added to plants (i.e. water used during the drought period, <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>) was significantly lower in the 20% rSWC plants compared to the 80% rSWC plants (F<sub>1,56</sub>=8993.6, P&lt;0.0001) and was not significantly impacted by Si treatment (F<sub>1,56</sub>=0.3, P=0.604).</p>
<p>Si concentration (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3E</bold>
</xref>) was significantly impacted by genotype (F<sub>1,56</sub>=6.1, P=0.0169), Si treatment (F<sub>1,56</sub>=176.5, P&lt;0.0001) and rSWC (F<sub>1,56</sub>=43.1, P&lt;0.0001), with the interaction between Si and rSWC also being significant (F<sub>1,56</sub>=16.5, P=0.000156).</p>
<p>Plants grown at low rSWC showed significantly reduced aboveground biomasses compared to well-watered plants (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>, F<sub>1,56</sub>=1744.2, P&lt;0.0001). Si treatment also significantly impacted aboveground biomass (F<sub>1,56</sub>=4.9, P=0.0304). However, in contrast to the previous water withholding experiments, here the 1.8 mM Si treatment tended to reduce total aboveground biomass rather than increase it, although <italic>post-hoc</italic> testing showed these trends to be non-significant (H5 80%: -3.76%, t<sub>56</sub>=0.5, P=0.606; H5 20%: -6.34%, t<sub>56</sub>=1.0, P=0.346; Fielder 80%: -7.17%, t<sub>56</sub>=1.0, P=0.305 and Fielder 20%: -11.7%, t<sub>56</sub>=1.9, P=0.0579). This suggests that the impact of Si on wheat yields under drought stress is strongly linked to watering regime.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this study, we aimed to assess the impact of Si treatment on wheat water use and drought resilience under different watering regimes. By comparing several different genotypes and contrasting watering regimes, we found that the impact of Si treatment on wheat water use and drought resilience is strongly affected by genotype and watering regime. We also explored the impact of manipulating stomatal density on the wheat response to Si treatment to determine whether differences in stomatal density could account for genotype-specific responses. Our results suggest that stomatal density alone cannot be responsible for genotype-specific yield responses to Si treatment, but that stomatal density could play a key role in the impact of Si treatment on g<sub>s</sub> and stomatal function.</p>
<p>To explore the role of Si in wheat water use, we first grew two high Si accumulating genotypes (H3 and H5) under 0 mM or 1.8 mM Si treatments. A recent meta-analysis of 34 studies (excluding rice) found that supplemental Si had no significant impact or consistent pattern on transpiration or g<sub>s</sub> in unstressed plants (<xref ref-type="bibr" rid="B13">Cooke and Carey, 2023</xref>). We therefore hypothesized that under well-watered conditions, plants would exhibit minimal g<sub>s</sub> differences. This appeared to be correct for H3 during IRGA-induced light shifts (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). However, in H5 we observed considerable increases in g<sub>s</sub> under well-watered conditions with Si, particularly in closing g<sub>min</sub> (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). This suggests that Si may be reducing the ability of stomata to fully close under low light conditions in a genotype-specific manner. This could be due to the deposition of Si in the cell walls of stomatal guard cells, an observation that has been made in several species (<xref ref-type="bibr" rid="B64">Sakai and Thom, 1979</xref>; <xref ref-type="bibr" rid="B36">Kim et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B58">Motomura et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B74">Ueno and Agarie, 2005</xref>; <xref ref-type="bibr" rid="B40">Law and Exley, 2011</xref>; <xref ref-type="bibr" rid="B59">Pierantoni et&#xa0;al., 2017</xref>). Our findings contrast with those of a study in tall fescue, where guard cell Si deposition was linked to a reduction in g<sub>s</sub> in non-stressed plants and an increase in stomatal sensitivity (<xref ref-type="bibr" rid="B75">Vandegeer et&#xa0;al., 2021</xref>), suggesting that responses may be species-specific.</p>
<p>To test the role of Si treatment in these wheat genotypes under drought stress, we withheld water at the booting stage of development. In droughted plants, Si has been shown to increase (<xref ref-type="bibr" rid="B30">Hattori et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B13">Cooke and Carey, 2023</xref>; <xref ref-type="bibr" rid="B2">Ashfaq et&#xa0;al., 2024</xref>), decrease (<xref ref-type="bibr" rid="B26">Gao et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B27">2006</xref>) or have no impact (<xref ref-type="bibr" rid="B34">Johnson et&#xa0;al., 2022</xref>) on transpiration and/or g<sub>s</sub>, or even simultaneously increase transpiration whilst decreasing g<sub>s</sub> (<xref ref-type="bibr" rid="B8">Chen et&#xa0;al., 2011</xref>). Here, we found that Si-treated plants used significantly less water than control plants during stress (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>), corroborating reports that Si can act to reduce g<sub>s</sub> and transpiration under drought stress. However, this reduction in water use did not necessarily lead to improved drought resilience. Indeed, the impact of Si on yields varied considerably between H3 and H5, with significant Si-associated yield increases under drought stress for H5 and non-significant reductions in yields for H3 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This supports several recent studies where the impact of Si on wheat yields under drought stress has been shown to be genotype-specific (<xref ref-type="bibr" rid="B72">Thorne et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B3">Ayed et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B10">Christian et&#xa0;al., 2023</xref>).</p>
<p>To investigate whether the differing response to Si in H3 and H5 could be linked to their contrasting stomatal densities (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), we compared the responses of a reduced stomatal density transgenic Fielder line (<italic>TaEPF1OE</italic>) and a Fielder control to Si treatment. We reasoned that, if the different responses of H3 and H5 to Si treatment were reflected in the experiments involving <italic>TaEPF1OE</italic> and Fielder, higher stomatal densities could be a key factor in driving beneficial responses to Si treatment. In the IRGA-induced light shifts, <italic>TaEPF1OE</italic> and Fielder (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B&#x2013;D</bold>
</xref>) behaved similarly to H3 and H5 (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B&#x2013;D</bold>
</xref>) respectively, suggesting that stomatal density plays an important role in the impact of Si treatment on g<sub>s</sub> and stomatal function. However, aside from the differences in gas exchange, minimal differences were observed between the reduced stomatal density and background lines. This suggests that stomatal density alone cannot be responsible for genotype-specific responses to Si and, therefore, that additional factors must be involved. These findings highlight the need to identify mechanisms that can directly translate to improvements in yields.</p>
<p>Si uptake occurs both passively, driven by transpiration, and actively (reviewed by e.g. <xref ref-type="bibr" rid="B50">Ma and Yamaji, 2015</xref>; <xref ref-type="bibr" rid="B38">Kumar et&#xa0;al., 2017b</xref>; <xref ref-type="bibr" rid="B54">Mandlik et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B56">Mitani-Ueno and Ma, 2021</xref>); however, it remains unclear whether Si accumulation is limited by the rate of transpiration or the rate of active uptake. If Si is primarily taken up by passive processes, it could be expected that by reducing stomatal density, transpiration is reduced and thus Si concentration may also be reduced. However, our results show that significantly reducing stomatal density had no impact on leaf Si concentration (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2D</bold>
</xref>). These data add to the existing literature that highlights the importance of active transport in Si uptake and deposition (<xref ref-type="bibr" rid="B43">Liang et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B28">Gocke et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B37">Kumar et&#xa0;al., 2017a</xref>; <xref ref-type="bibr" rid="B55">McLarnon et&#xa0;al., 2017</xref>).</p>
<p>The yield data from this second experiment show that Si treatment can significantly increase yields under both stressful and non-stressful conditions in some genotypes (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>), contrasting with the idea, presented by <xref ref-type="bibr" rid="B16">Coskun et&#xa0;al. (2019)</xref>, that Si does not promote plant growth <italic>per se</italic> but does protect against stress. Whilst the majority of literature demonstrates the benefit of Si fertilizers under stressful conditions (e.g. see meta-analyses by <xref ref-type="bibr" rid="B14">Cooke and Leishman, 2016</xref>; <xref ref-type="bibr" rid="B35">Johnson et&#xa0;al., 2024</xref>), some studies have observed benefits under non-stressful conditions (e.g. <xref ref-type="bibr" rid="B6">Camargo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B53">Malik et&#xa0;al., 2025</xref>), although it is important to recognize that a truly stress-free environment rarely exists (<xref ref-type="bibr" rid="B25">Frew et&#xa0;al., 2018</xref>). Regardless, these findings suggest that even plants growing in relatively &#x2018;non-stressed&#x2019; environments can still benefit from Si fertilization.</p>
<p>To test the role of watering regime on the wheat response to Si treatment, we subjected two genotypes (H5 and Fielder) that responded positively to Si under the water withholding drought stress to a prolonged reduced rSWC drought stress. It was hypothesized that the observed increases in g<sub>s</sub> with Si in H5 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>) and Fielder (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) during IRGA light shifts could help improve wheat drought resilience under a more prolonged drought stress by allowing plants to maintain g<sub>s</sub> and thus A. However, under this contrasting watering regime, Si had no significant impact on most of the parameters studied, including stomatal density, steady-state g<sub>s</sub>, iWUE and total water use during drought (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). In contrast to the increased yields under drought stress observed with Si in the first two experiments, here, we observed non-significant reductions in aboveground biomass with Si.</p>
<p>These differing results could be due to the altered Si treatment regime in the contrasting drought treatments, with plants in the rSWC experiment receiving less Si, and thus accumulating less Si overall, than plants in the water withholding experiments (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;1D</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>2D</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>3E</bold>
</xref>). Several studies have found that the benefits of Si fertilizer vary with the way in which Si is applied, e.g. the type of Si fertilizer (<xref ref-type="bibr" rid="B70">Thakral et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B11">Christian et&#xa0;al., 2025</xref>), the application rate and/or concentration (<xref ref-type="bibr" rid="B34">Johnson et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B67">Shamshiripour et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B9">Cheraghi et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B23">Foresti et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B53">Malik et&#xa0;al., 2025</xref>), or the lifecycle stage/timing of application(s) (<xref ref-type="bibr" rid="B47">Ma et&#xa0;al., 1989</xref>; <xref ref-type="bibr" rid="B39">Lavinsky et&#xa0;al., 2016</xref>). In our study, the contrasting watering regimes were implemented at different wheat lifecycle stages, either at booting (water withholding) or throughout vegetative growth (rSWC). In rice, Si is re-directed to the husks during flowering by the action of specific transporters (<xref ref-type="bibr" rid="B77">Yamaji and Ma, 2009</xref>; <xref ref-type="bibr" rid="B79">Yamaji et&#xa0;al., 2015</xref>), with significant grain yield penalties being observed if the hyper-accumulation of Si in the husk is prevented (<xref ref-type="bibr" rid="B68">Tamai and Ma, 2008</xref>). If this is the case in wheat, it might explain why Fielder and H5 responded more positively to Si fertilizers under drought stress at the booting stage of development than during vegetative growth.</p>
<p>The contrasting responses of H5 and Fielder to Si treatment under differing water regimes could also be linked to the potential costs of Si uptake. A recent study proposed the existence of commonly ignored direct costs associated with Si accumulation, specifically highlighting examples where increased leaf Si has been negatively correlated with growth rate (<xref ref-type="bibr" rid="B18">de Tombeur et&#xa0;al., 2023</xref>). In our experiments, perhaps the cost of accumulating Si in leaf tissue under prolonged reduced rSWC was too great a proportion of diminished resources, leading to slight reductions in biomass with Si. The observed biomass responses in our study may also relate to inherent differences in a plant&#x2019;s response to contrasting drought stresses. For example, the priority may be to rapidly close stomata under a short-term drought stress and then minimize overall transpiration in the long-term by reducing shoot growth, with complicated feedback processes mediating these distinct strategies (<xref ref-type="bibr" rid="B69">Tardieu et&#xa0;al., 2018</xref>). It may be that Si is only beneficial for a subset of these processes that vary between drought types. Overall, the contrasting yield responses to Si under different watering regimes warrants further attention so that farmers can make informed choices when applying Si fertilizers as a mitigation for drought stress.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions and future perspectives</title>
<p>We found that the impact of Si treatment on wheat water use and drought resilience is strongly affected by both genotype and watering regime, helping to explain why different studies have come to different conclusions on the potential benefits of Si. Our results further show that whilst stomatal density may play a role in the impact of Si treatment on g<sub>s</sub> and stomatal function, stomatal density alone cannot be responsible for genotype-specific yield responses to Si. It is important for future work to characterize the mechanisms responsible for these genotype-specific or stress-specific responses. If Si-fertilization is to be used as an effective and robust agronomic practice, farmers need to know: (a) if their selected cultivar is one that can benefit from Si addition under drought stress; and (b) when and how to apply Si fertilizers to the field to achieve the best protection against different types of drought stress.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>KS: Visualization, Formal analysis, Writing &#x2013; original draft, Data curation, Project administration, Funding acquisition, Conceptualization, Investigation, Writing &#x2013; review &amp; editing. ST: Resources, Conceptualization, Project administration, Writing &#x2013; review &amp; editing, Supervision. CC: Formal analysis, Visualization, Writing &#x2013; review &amp; editing, Investigation. AF: Conceptualization, Funding acquisition, Supervision, Writing &#x2013; review &amp; editing, Project administration, Resources. SH: Conceptualization, Funding acquisition, Resources, Supervision, Project administration, Writing &#x2013; review &amp; editing. JG: Conceptualization, Project administration, Writing &#x2013; review &amp; editing, Supervision, Funding acquisition, Resources.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by a White Rose BBSRC Mechanistic Biology DTP studentship (BB/T007222/1) and Generation Research via the White Rose BBSRC Mechanistic Biology DTP.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Dr J Dunn for supplying the seed for Exp2 and the technical staff at the University of Sheffield plant growth facilities for their support.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2025.1661405/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1661405/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.zip" id="SM1" mimetype="application/zip"/>
</sec>
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