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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>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1649112</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>Improvement in the intrinsic water use efficiency of sugarcane by intergeneric hybridization with <italic>Erianthus arundinaceus</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Takaragawa</surname><given-names>Hiroo</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1920686/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Terajima</surname><given-names>Yoshifumi</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/3151582/overview"/>
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<contrib contrib-type="author">
<name><surname>Okamoto</surname><given-names>Ken</given-names></name>
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<aff id="aff1"><institution>Tropical Agriculture Research Front, Japan International Research Center for Agricultural Sciences</institution>, <city>Ishigaki</city>, <state>Okinawa</state>,&#xa0;<country country="jp">Japan</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Hiroo Takaragawa, <email xlink:href="mailto:takaragawah0318@jircas.go.jp">takaragawah0318@jircas.go.jp</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-21">
<day>21</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>1649112</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Takaragawa, Terajima and Okamoto.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Takaragawa, Terajima and Okamoto</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-21">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>Sugarcane (<italic>Saccharum</italic> spp.) is often grown under unstable rainfall and drought conditions, highlighting the need for improved drought tolerance. <italic>Erianthus arundinaceus</italic>, a closely related species, shows high intrinsic water use efficiency (<italic>iWUE</italic>) and robust root formation capacity. However, research on improving sugarcane leaf traits using <italic>Erianthus</italic> is limited. This study aimed to evaluate the water use efficiency and associated leaf traits of sugarcane &#xd7; <italic>Erianthus</italic> intergeneric F<sub>1</sub> hybrids and their parental genotypes under both wet and dry pot conditions in a greenhouse to assess the potential for improving drought tolerance through intergeneric hybridization.</p>
</sec>
<sec>
<title>Methods</title>
<p>The sugarcane cultivars (drought-susceptible NiF8 and drought-tolerant Ni9), <italic>Erianthus</italic> accessions (JIRCAS1 and JW630), and their intergeneric F<sub>1</sub> hybrids (NiF8 &#xd7; JIRCAS1 and NiF8 &#xd7; JW630) were evaluated for gas exchange and leaf morphology.</p>
</sec>
<sec>
<title>Results</title>
<p><italic>Erianthus</italic> accessions had superior stomatal responses, lower stomatal conductance, and higher <italic>iWUE</italic> than NiF8, with JW630 showing higher <italic>iWUE</italic> than Ni9. However, <italic>Erianthus</italic> accessions had lower gravimetric water use efficiencies (<italic>gWUE</italic>) than the sugarcane cultivars, likely due to the higher leaf area ratio (LAR). The hybrids displayed higher <italic>iWUE</italic>, with dry matter partitioning characteristics resembling those of sugarcane (low LAR, high shoot/root ratio, and high partitioning to the stem), suggesting potential for higher <italic>gWUE</italic> under field canopy conditions. The high <italic>iWUE</italic>s of <italic>Erianthus</italic> and F<sub>1</sub> hybrids were suggested to be attributed to the fewer stomata on the abaxial surface.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study highlights <italic>Erianthus</italic>&#x2019;s potential in improving leaf characteristics to enhance sugarcane drought tolerance because the hybrids demonstrated &#x201c;best of both worlds&#x201d; scenario, where they inherited high <italic>iWUE</italic> from <italic>Erianthus</italic> with favorable biomass partitioning characteristics from sugarcane.</p>
</sec>
</abstract>
<kwd-group>
<kwd>assimilation rate</kwd>
<kwd>A <italic>vs</italic> g<sub>s</sub> curve</kwd>
<kwd>drought tolerance</kwd>
<kwd>intergeneric F<sub>1</sub> hybrid</kwd>
<kwd>photosynthetic rate</kwd>
<kwd>stomatal conductance</kwd>
<kwd>stomatal density</kwd>
<kwd>transpiration efficiency</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This study was conducted as part of a project entitled &#x201c;Tropical crop genetic resources: Advancement of tropical crop genetic resources utilization through the development of database, technologies and research networking (2022-2027),&#x201d; funded by our affiliate JIRCAS.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="4"/>
<ref-count count="85"/>
<page-count count="15"/>
<word-count count="7729"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Plant Breeding</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Water deficits or droughts are primary climatic factors that constraint global sugarcane (<italic>Saccharum</italic> spp.) production, regardless of whether the final product is sugar or biomass. Drought stress impairs key physiological functions, including photosynthesis and associated enzymatic activities (<xref ref-type="bibr" rid="B20">Du et&#xa0;al., 1996</xref>; <xref ref-type="bibr" rid="B17">Dinh et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B46">Marchiori et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B85">Zhao et&#xa0;al., 2017</xref>), leading to reduced biomass production and lower final yield in sugarcane (<xref ref-type="bibr" rid="B61">Robertson et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B4">Basnayake et&#xa0;al., 2012</xref>, <xref ref-type="bibr" rid="B5">2015</xref>). Therefore, enhancing water use efficiency (WUE)&#x2014;crop productivity per amount of water resources applied to the field or used by the plant&#x2014;is crucial for optimizing the yield and profitability of sugarcane production under both rainfed and irrigated conditions (<xref ref-type="bibr" rid="B4">Basnayake et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B53">Natarajan et&#xa0;al., 2020</xref>), which also could save water resource. Yield stability under variable water conditions can be achieved through improved breeding strategies and effective crop management (<xref ref-type="bibr" rid="B22">Ferreira et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B63">Singels et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B18">Dlamini, 2021</xref>; <xref ref-type="bibr" rid="B80">Watanabe et&#xa0;al., 2021</xref>). However, despite advanced crop management techniques, variety selection remains essential, as varieties are typically classified as either drought-tolerant or drought-susceptible (<xref ref-type="bibr" rid="B29">Inman-Bamber and Stead, 1990</xref>). While the development of new drought-tolerant varieties through breeding is considered the most effective strategy for offering growers viable options, the limited availability of such varieties in drought-prone regions and cropping seasons suggests that breeding and selection efforts are currently insufficient in terms of efficiency (<xref ref-type="bibr" rid="B1">Acreche, 2017</xref>). This is likely due to the difficulty in evaluating the impact of environmental factors on WUE, as the sugarcane growth period is long and the effects of these factors are substantial and complex (<xref ref-type="bibr" rid="B4">Basnayake et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B44">Liu et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B53">Natarajan et&#xa0;al., 2020</xref>). Therefore, scaling down WUE along both the time/phenology axis and the size axis is considered effective to help understand the physiological mechanisms of WUE. Intrinsic WUE (<italic>iWUE</italic>), also known as transpiration efficiency, which is the ratio of individual leaf photosynthetic rate (<italic>A</italic>) to its transpiration indicator, namely stomatal conductance (<italic>g<sub>s</sub></italic>), is recognized as the minimum unit of WUE and has been proposed as an important target for crop breeding (<xref ref-type="bibr" rid="B11">Condon et&#xa0;al., 2004</xref>). Besides a ratio of <italic>A</italic> and <italic>g<sub>s</sub></italic>, stomatal responsiveness, indicated by <italic>A vs</italic>. <italic>g<sub>s</sub></italic> regression, is also important to consider determinants for WUE (<xref ref-type="bibr" rid="B7">Battle et&#xa0;al., 2024</xref>).</p>
<p>The narrow genetic base of previous sugarcane cultivars, with several specific genotypes in their pedigrees, is a major limitation for enhancing yield and stress tolerance (<xref ref-type="bibr" rid="B81">Wei and &amp; Jackson, 2016</xref>; <xref ref-type="bibr" rid="B32">Jackson, 2019</xref>). <italic>Erianthus</italic>, a genus within the closely related <italic>Saccharum</italic> complex, is considered a promising genetic resource for sugarcane improvement, having played a key role in the establishment of sugarcane species (<xref ref-type="bibr" rid="B34">Jackson and Henry, 2011</xref>). Among species in <italic>Saccharum</italic> complex such as <italic>S.</italic> sp<italic>ontaneum</italic> and <italic>Miscanthus</italic>, <italic>Erianthus</italic> has been reported to exhibit exceptional tolerance to wider range of biotic and abiotic stresses, including nematodes (<xref ref-type="bibr" rid="B9">Bhuiyan et&#xa0;al., 2014</xref>, <xref ref-type="bibr" rid="B10">2016</xref>), drought (<xref ref-type="bibr" rid="B47">Matsuo et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B3">Augustine et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B45">Manoj et&#xa0;al., 2019</xref>), soil acidity (<xref ref-type="bibr" rid="B47">Matsuo et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B68">Takaragawa et&#xa0;al., 2023</xref>), and salt (<xref ref-type="bibr" rid="B45">Manoj et&#xa0;al., 2019</xref>). Although limited agronomic studies have focused on its vigorous growth and stress tolerance (<xref ref-type="bibr" rid="B34">Jackson and Henry, 2011</xref>), the morphological and physiological traits contributing to its resilience are becoming increasingly understood. The robust growth of <italic>Erianthus</italic> is often linked to its high root-forming capacity (<xref ref-type="bibr" rid="B47">Matsuo et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B69">Takaragawa et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B74">Terajima et&#xa0;al., 2023</xref>). However, both above-ground and below-ground characteristics contribute to its drought tolerance. For instance, <italic>Erianthus</italic> exhibits higher <italic>iWUE</italic>, as indicated by the gas exchange properties of individual leaves under well-watered conditions, compared to commercial sugarcane cultivars, even in a limited root zone under pot culture (<xref ref-type="bibr" rid="B33">Jackson et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B43">Li et&#xa0;al., 2017</xref>). Furthermore, <italic>Erianthus</italic> showed higher <italic>iWUE</italic> than sugarcane when grown in pots under both wet and dry soil conditions, attributed to factors such as lower stomatal density on the abaxial surface of the leaves and the accumulation of specific leaf metabolites, including betaine and GABA (<xref ref-type="bibr" rid="B70">Takaragawa and Wakayama, 2024</xref>). <italic>Erianthus</italic> has been used for intergeneric hybridization to improve sugarcane productivity traits, with reported gains in biomass productivity (<xref ref-type="bibr" rid="B51">Nair et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B57">Pachakkil et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B49">Meena et&#xa0;al., 2020</xref>) and root system characteristics (<xref ref-type="bibr" rid="B24">Fukuhara et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B10">Bhuiyan et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B69">Takaragawa et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B74">Terajima et&#xa0;al., 2023</xref>). However, reports on the improvement of sugarcane leaf traits using <italic>Erianthus</italic> are limited.</p>
<p>Closely related genetic resources other than <italic>Erianthus</italic> have been used to improve gas exchange characteristics and stomatal morphology in sugarcane. Hybridization with <italic>S. officinarum</italic> and <italic>S.</italic> sp<italic>ontaneum</italic> improved leaf morphology, including stomatal distribution and leaf width, and photosynthetic characteristics of the interspecific hybrid F<sub>1</sub> (<xref ref-type="bibr" rid="B60">Rao, 1951</xref>; <xref ref-type="bibr" rid="B30">Irvine, 1975</xref>). Additionally, interspecific hybridization between commercial sugarcane cultivars and <italic>S.</italic> sp<italic>ontaneum</italic> has led to improvement in leaf anatomical characteristics such as leaf thickness and cellular arrangement (<xref ref-type="bibr" rid="B35">Jumkudling et&#xa0;al., 2022</xref>). Furthermore, intergeneric hybrids between sugarcane cultivars and <italic>Miscanthus</italic> germplasm have demonstrated improved photosynthetic capacity at low temperatures (<xref ref-type="bibr" rid="B25">Glowacka et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B37">Kar et&#xa0;al., 2019</xref>, <xref ref-type="bibr" rid="B36">2020</xref>). Investigation of leaf traits related to drought tolerance in <italic>Erianthus</italic> using back cross (BC)<sub>1</sub>F<sub>1</sub> lines of <italic>S. officinarum</italic> and <italic>E. arundinaceus</italic> suggested potential improvements in metabolites such as proline and several enzymes through intergeneric hybridization (<xref ref-type="bibr" rid="B15">Deng et&#xa0;al., 2019</xref>). However, the benefits of intergeneric hybridizations could not be demonstrated due to the low composition of <italic>Erianthus</italic>-derived genes owing to the extensive backcrossing to sugarcane. Moreover, the authors compared the hybrid lines with major sugarcane cultivars rather than with the parental genotypes of sugarcane and <italic>Erianthus</italic>. The gas exchange characteristics of sugarcane cultivars and interspecific/intergeneric hybrids have been compared, but without using parental genotypes as reference controls (<xref ref-type="bibr" rid="B33">Jackson et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B43">Li et&#xa0;al., 2017</xref>). Therefore, a more comprehensive evaluation of the intergeneric hybrid F<sub>1</sub>, including both parental genotypes as comparators, is necessary to assess the potential for introducing the superior leaf traits of <italic>Erianthus</italic> into sugarcane. Additionally, no studies have examined the response of leaf characteristics such as physiological and anatomical traits under soil drying conditions in intergeneric hybrids with <italic>Erianthus</italic>.</p>
<p>Therefore, in this study, we aimed to investigate the water use efficiency and associated leaf characteristics of sugarcane &#xd7; <italic>Erianthus</italic> intergeneric F<sub>1</sub> hybrids and their parental genotypes under both wet and dry pot conditions in a greenhouse to assess the potential for improving drought tolerance through intergeneric hybridization.</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 materials and treatments</title>
<p>The sugarcane cultivars NiF8 (drought-susceptible) and Ni9 (drought-tolerant); <italic>Erianthus</italic> accessions JIRCAS1 (unknown origin) and JW630 (collected in Shizuoka, Japan); and their intergeneric hybrids F<sub>1</sub> J08-12 (NiF8 &#xd7; JIRCAS1) and J16-77 (NiF8 &#xd7; JW630) were included in the study. The hybrids J08&#x2013;12 and J16&#x2013;77 were confirmed true intergeneric hybrids using PCR-based simple sequence repeat (SSR) markers (<xref ref-type="bibr" rid="B13">D'Hont et&#xa0;al., 1995</xref>) and nuclear DNA content by flow cytometry assays (<xref ref-type="bibr" rid="B57">Pachakkil et&#xa0;al., 2019</xref>) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S1</bold></xref>). Two <italic>Erianthus</italic> accessions are known to belong to genetically distinct groups (<xref ref-type="bibr" rid="B76">Tsuruta et&#xa0;al., 2012</xref>, <xref ref-type="bibr" rid="B77">2017</xref>) and both show robust root system in the field (<xref ref-type="bibr" rid="B74">Terajima et&#xa0;al., 2023</xref>). The plants were grown in a temperature- and humidity-controlled glasshouse at the Tropical Agriculture Research Front, Japan International Research Center for Agricultural Sciences (24&#xb0;22'43" N, 124&#xb0;11'4" E). The day temperature was maintained at 31&#xb0;C from 7:00 am to 7:00 pm, while the night temperature was set at 27&#xb0;C; the relative humidity was maintained at 60% (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S2</bold></xref>). The daily cumulative solar radiation in the greenhouse during the growing season averaged 12.4 &#xb1; 5.1&#xa0;mol m<sup>-2</sup> day<sup>-1</sup>.</p>
<p>The pot experiment was performed with a two-factorial design examining sugarcane genotypes and soil moisture conditions (6 genotypes &#xd7; 2 water regimes). Seedlings of single-bud setts were raised in containers filled with potting mix (Minori, JA Okinawa, Okinawa, Japan) from May 14 (for <italic>Erianthus</italic>) and June 2 (for sugarcane and intergeneric hybrids) 2021. Due to the slower germination and initial growth of <italic>Erianthus</italic>, their seedlings were germinated approximately two weeks earlier to synchronize with the growth stage of the other plants. On July 19, 2021, 12 plants of each genotype were transplanted into 1/2000a Wagner pots filled with 10&#xa0;kg of FW potting mix. Fertilization was performed at transplantation using a solid slow-release fertilizer with a nutrient ratio of N:P:K = 2.4:0.7:1.0 g pot<sup>-1</sup>. To reduce evaporation, cobble gravel was spread at a depth of 2&#xa0;cm on the soil surface, as described in <xref ref-type="bibr" rid="B33">Jackson et&#xa0;al. (2016)</xref>. Irrigation was initially provided three times daily using an automatic drip system until irrigation control began. On August 18, 2021, drainage was stopped using rubber plugs, and manual irrigation control was implemented. Irrigation was controlled according to <xref ref-type="bibr" rid="B17">Dinh et&#xa0;al. (2017)</xref> by reading the volumetric water content (VWC) at 8:00 am using a soil moisture sensor (EC-5, Meter) placed at a soil depth of 13&#xa0;cm (center of the pot) and estimating the water consumption per pot from the previously obtained soil bulk density. Beginning August 25, 2021, the soil pF value was estimated from the VWC (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S4</bold></xref>) using the moisture characteristic curve of the test soil obtained earlier (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S3</bold></xref>). Two treatments were applied: a wet treatment where the soil was irrigated to a well-watered condition (0.445 m<sup>3</sup> m<sup>-3</sup>; pF 1.4), and a dry treatment, where irrigation was gradually reduced by approximately 1% until reaching the permanent wilt point (0.131 m<sup>3</sup> m<sup>-3</sup>; pF 4.2). The pots were randomly placed with four replicates per treatment.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Measurement of gas exchange parameters</title>
<p>The gas exchange parameters&#x2014;photosynthetic rate (<italic>A</italic>), stomatal conductance (<italic>g<sub>s</sub></italic>), transpiration rate (<italic>E</italic>), and intercellular CO<sub>2</sub> concentration (<italic>C<sub>i</sub></italic>)&#x2014;of the uppermost fully expanded leaves were measured using a portable gas exchange measurement device (LI-6400, LI-COR BioSciences, Lincoln, Nebraska, USA) on August 24 (prior to the start of the irrigation treatment), and on September 6, 16, 23, and October 1 during the treatment period in 2021.&#xa0;A 6-cm<sup>2</sup> (2&#xa0;cm &#xd7; 3&#xa0;cm) LED chamber (LI-6400B, LI-COR) was used, with two light intensity levels: unsaturated (500 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) and saturated (2000 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) photosynthetic photon flux density (PPFD). Light curves previously measured for NiF8 and JW630 confirmed no difference between the two species regarding light saturation and unsaturation (<xref ref-type="bibr" rid="B67">Takaragawa and Matsuda, 2023</xref>). The flow rate and reference CO<sub>2</sub> concentration were set to 400 &#xb5;mol s<sup>-1</sup> and 400 &#xb5;mol mol<sup>-1</sup>, respectively. Leaf temperature was maintained at 30.9 &#xb1; 1.0&#xb0;C via a block temperature set at 30&#xb0;C. Leaf vapor pressure deficit (VPD) was manually controlled at 1.9 &#xb1; 0.2 kPa using a desiccant bulb filled with Drierite&#xae; (W. A. Hammond Drierite Co., Xenia, OH, USA). <italic>iWUE</italic> was calculated from the obtained <italic>A</italic> and <italic>g<sub>s</sub></italic>, using the equation:</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>i</mml:mi><mml:mi>W</mml:mi><mml:mi>U</mml:mi><mml:mi>E </mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>&#xb5;mol&#xa0;mo</mml:mtext><mml:msup><mml:mtext>l</mml:mtext><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mi>A</mml:mi><mml:mo stretchy="false">/</mml:mo><mml:msub><mml:mi>g</mml:mi><mml:mtext>s</mml:mtext></mml:msub></mml:mrow></mml:math>
</disp-formula>
<p>The choice of <italic>g<sub>s</sub></italic> to calculate gas exchange water use efficiency is based on its role as a transpiration index that accounts for VPD. This approach is easier and equitable, facilitating comparison across studies. In contrast to using transpiration rate or photosynthetic water use efficiency (<italic>A</italic>/<italic>E</italic>), <italic>g<sub>s</sub></italic> provides a more consistent and fairer metric for comparison with other literatures (<xref ref-type="bibr" rid="B33">Jackson et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B43">Li et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B52">Nakabaru et&#xa0;al., 2020</xref>).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Survey of leaf anatomical features</title>
<p>A thin layer of nail polish was applied to both sides of the leaf used for gas exchange measurements, and stomatal samples were collected using double-sided tape (<xref ref-type="bibr" rid="B82">Wu and Zhao, 2017</xref>; <xref ref-type="bibr" rid="B70">Takaragawa and Wakayama, 2024</xref>). Cross-sections of the tested leaves were prepared manually and fixed onto glass slides to measure the interveinal distance&#x2014;defined as the distance between vascular bundles. Observations were made using an optical microscope system (Eclipse E800, Nikon, Tokyo, Japan) equipped with image analysis software (NIS-elements, Nikon).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Evaluation of plant growth</title>
<p>At the beginning of the treatment, four plants per genotype were harvested, with all remaining plants harvested 49 days after treatment (on October 13, 2021). The culm length of the main stem, total leaf area, and dry matter weight of each organ were recorded. Leaf area was measured using a leaf area meter (LI-3100, LI-COR). The rate of main-stem elongation during the treatment period was calculated based on the culm length before and after treatment. Underground parts were washed to remove soil and separated into roots and underground stems (stubbles). The underground stem weight was included in the aboveground weight. The leaf area ratio (LAR) during the treatment period was calculated using the leaf area (L<sub>1</sub>, L<sub>2</sub>) and total dry matter weight (W<sub>1</sub>, W<sub>2</sub>) measurements taken before and after the treatment, according to the following equation:</p>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:mtext>LAR&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>c</mml:mtext><mml:msup><mml:mtext>m</mml:mtext><mml:mn>2</mml:mn></mml:msup><mml:mtext>gD</mml:mtext><mml:msup><mml:mtext>W</mml:mtext><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext>ln</mml:mtext><mml:msub><mml:mtext>W</mml:mtext><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mtext>ln</mml:mtext><mml:msub><mml:mtext>W</mml:mtext><mml:mn>1</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mtext>W</mml:mtext><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mtext>W</mml:mtext><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:mfrac><mml:mo>&#xa0;</mml:mo><mml:mo>&#xd7;</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mtext>L</mml:mtext><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mtext>L</mml:mtext><mml:mn>1</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:mtext>ln</mml:mtext><mml:msub><mml:mtext>L</mml:mtext><mml:mn>2</mml:mn></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mtext>ln</mml:mtext><mml:msub><mml:mtext>L</mml:mtext><mml:mn>1</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>The water use efficiency of biomass production, defined as gravimetric WUE (<italic>gWUE</italic>), was calculated by dividing the increment in dry matter (&#x394;DW) by the water consumed (&#x394;WU) during the treatment period, using the following equation (<xref ref-type="bibr" rid="B17">Dinh et&#xa0;al., 2017</xref>):</p>
<disp-formula>
<mml:math display="block" id="M3"><mml:mrow><mml:mi>g</mml:mi><mml:mi>W</mml:mi><mml:mi>U</mml:mi><mml:mi>E</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>g&#xa0;</mml:mtext><mml:msup><mml:mtext>L</mml:mtext><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mtext>&#x394;DW</mml:mtext><mml:mo stretchy="false">/</mml:mo><mml:mtext>&#x394;WU</mml:mtext></mml:mrow></mml:math>
</disp-formula>
<p>Total nitrogen content of each plant part was analyzed using an NC analyzer (NC22F; Sumika Chemical Analysis Service, Ltd., Osaka, Japan) to calculate the nitrogen uptake (&#x394;NU) during the treatment period, and the nitrogen use efficiency (NUE) was calculated using the following equation:</p>
<disp-formula>
<mml:math display="block" id="M4"><mml:mrow><mml:mi>N</mml:mi><mml:mi>U</mml:mi><mml:mi>E</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>g&#xa0;g</mml:mtext><mml:msup><mml:mtext>N</mml:mtext><mml:mrow><mml:mo>&#x2212;</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mtext>&#x394;DW</mml:mtext><mml:mo stretchy="false">/</mml:mo><mml:mtext>&#x394;NU</mml:mtext></mml:mrow></mml:math>
</disp-formula>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Data analysis was conducted using the Bell Curve for Excel statistical analysis software (Social Survey Research Information Co., Ltd., Tokyo, Japan). A two-way factorial analysis of variance (ANOVA) was performed to assess the effects of genotype (six genotypes), water regime (two water regimes), and their interactions on leaf anatomical and dry matter parameters. A four-way factorial ANOVA was also conducted to evaluate the effects of genotype, water regime, PPFD for measurement (two levels), measurement date (five dates), and their interactions with gas exchange parameters. Results of ANOVA were shown with percentage of each factorial variance to total variance. Differences among mean values of the examined parameters for each genotype were determined using Tukey&#x2019;s test, with statistical significance assumed at <italic>P</italic>&#xa0;&lt;&#xa0;0.05 (n = 4). Measured <italic>A</italic> and <italic>g<sub>s</sub></italic> values were plotted for each genotype under each PPFD condition, and a correlation analysis was conducted to derive the <italic>A vs</italic>. <italic>g<sub>s</sub></italic> slope. Differences in the <italic>A vs</italic>. <italic>g<sub>s</sub></italic> slope values between NiF8 and each genotype were assessed using a <italic>t</italic>-test, with statistical significance assumed at <italic>P</italic>&#xa0;&lt;&#xa0;0.05, 0.01, and 0.001.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Comparison of stomatal responses to drought among genotypes</title>
<p>The soil water conditions during the water treatment are shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. Based on changes in VWC under dry conditions, leaf gas exchange measurements were performed on August 24, September 6, September 16, September 23, and October 1, with mean VWC values of 0.43, 0.32, 0.25, 0.16, and 0.14 m<sup>3</sup> m<sup>-3</sup>, respectively (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Changes of soil volume water content (VWC) at 15-cm depth under wet and dry conditions. Blue and red lines indicate VWC values under wet and dry conditions, respectively. Manual irrigation control and stress treatment were started from 8/20 and 8/30, respectively. Arrows indicate five dates for gas exchange measurement.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1649112-g001.tif">
<alt-text content-type="machine-generated">Graph showing volumetric water content (VWC) from August 21 to October 10. Blue line represents wet conditions, red line represents dry conditions. Both show a decreasing trend with fluctuations. Purple arrows indicate specific dates: August 24, September 6, 16, 23, and October 1.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Intrinsic water use efficiency (<italic>iWUE</italic>) of sugarcane, <italic>Erianthus</italic>, and intergeneric F<sub>1</sub> hybrid under wet and dry conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Date</th>
<th valign="middle" rowspan="2" colspan="2" align="center">Genotype</th>
<th valign="middle" colspan="2" align="center">Wet</th>
<th valign="middle" colspan="2" align="center">Dry</th>
<th valign="middle" rowspan="2" align="center">Average VWC (%)</th>
</tr>
<tr>
<th valign="middle" align="center">PPFD 500</th>
<th valign="middle" align="center">PPFD 2000</th>
<th valign="middle" align="center">PPFD 500</th>
<th valign="middle" align="center">PPFD 2000</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="center">8/24</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">72 a</td>
<td valign="top" align="center">111 ab</td>
<td valign="top" align="center">62 a</td>
<td valign="top" align="center">103 a</td>
<td valign="top" rowspan="6" align="center">43.2</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">93 ab</td>
<td valign="top" align="center">122 ab</td>
<td valign="top" align="center">92 abc</td>
<td valign="top" align="center">127 ab</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">74 a</td>
<td valign="top" align="center">105 a</td>
<td valign="top" align="center">71 ab</td>
<td valign="top" align="center">108 a</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">118 b</td>
<td valign="top" align="center">125 ab</td>
<td valign="top" align="center">102 bc</td>
<td valign="top" align="center">120 ab</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">93 ab</td>
<td valign="top" align="center">121 ab</td>
<td valign="top" align="center">93 abc</td>
<td valign="top" align="center">117 ab</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">118 b</td>
<td valign="top" align="center">136 b</td>
<td valign="top" align="center">115 c</td>
<td valign="top" align="center">135 b</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">9/6</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">63 a</td>
<td valign="top" align="center">105 a</td>
<td valign="top" align="center">61 a</td>
<td valign="top" align="center">106 a</td>
<td valign="top" rowspan="6" align="center">31.9</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">78 ab</td>
<td valign="top" align="center">120 ab</td>
<td valign="top" align="center">86 ab</td>
<td valign="top" align="center">127 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">79 ab</td>
<td valign="top" align="center">110 ab</td>
<td valign="top" align="center">71 ab</td>
<td valign="top" align="center">117 a</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">91 ab</td>
<td valign="top" align="center">134 b</td>
<td valign="top" align="center">120 c</td>
<td valign="top" align="center">135 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">84 ab</td>
<td valign="top" align="center">114 ab</td>
<td valign="top" align="center">98 bc</td>
<td valign="top" align="center">117 a</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">100 b</td>
<td valign="top" align="center">134 b</td>
<td valign="top" align="center">96 bc</td>
<td valign="top" align="center">125 a</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">9/16</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">59 a</td>
<td valign="top" align="center">98 a</td>
<td valign="top" align="center">70 a</td>
<td valign="top" align="center">112 a</td>
<td valign="top" rowspan="6" align="center">24.5</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">74 ab</td>
<td valign="top" align="center">113 ab</td>
<td valign="top" align="center">89 ab</td>
<td valign="top" align="center">116 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">82 ab</td>
<td valign="top" align="center">100 a</td>
<td valign="top" align="center">98 ab</td>
<td valign="top" align="center">119 a</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">94 b</td>
<td valign="top" align="center">114 ab</td>
<td valign="top" align="center">119 b</td>
<td valign="top" align="center">125 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">86 ab</td>
<td valign="top" align="center">117 ab</td>
<td valign="top" align="center">96 ab</td>
<td valign="top" align="center">112 a</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">94 b</td>
<td valign="top" align="center">123 b</td>
<td valign="top" align="center">103 b</td>
<td valign="top" align="center">122 a</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">9/23</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">53 a</td>
<td valign="top" align="center">93 a</td>
<td valign="top" align="center">84 a</td>
<td valign="top" align="center">128 a</td>
<td valign="top" rowspan="6" align="center">15.5</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">76 ab</td>
<td valign="top" align="center">108 bc</td>
<td valign="top" align="center">119 ab</td>
<td valign="top" align="center">143 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">80 bc</td>
<td valign="top" align="center">100 ab</td>
<td valign="top" align="center">142 b</td>
<td valign="top" align="center">131 a</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">83 bc</td>
<td valign="top" align="center">123 c</td>
<td valign="top" align="center">137 b</td>
<td valign="top" align="center">150 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">85 bc</td>
<td valign="top" align="center">111 bc</td>
<td valign="top" align="center">110 ab</td>
<td valign="top" align="center">132 a</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">105 c</td>
<td valign="top" align="center">121 c</td>
<td valign="top" align="center">145 b</td>
<td valign="top" align="center">146 a</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">10/1</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">63 a</td>
<td valign="top" align="center">100 a</td>
<td valign="top" align="center">133 a</td>
<td valign="top" align="center">148 a</td>
<td valign="top" rowspan="6" align="center">13.5</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">84 ab</td>
<td valign="top" align="center">111 ab</td>
<td valign="top" align="center">163 ab</td>
<td valign="top" align="center">154 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">86 ab</td>
<td valign="top" align="center">101 a</td>
<td valign="top" align="center">178 b</td>
<td valign="top" align="center">162 a</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">93 ab</td>
<td valign="top" align="center">123 b</td>
<td valign="top" align="center">164 ab</td>
<td valign="top" align="center">162 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">87 ab</td>
<td valign="top" align="center">110 ab</td>
<td valign="top" align="center">147 ab</td>
<td valign="top" align="center">147 a</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">106 b</td>
<td valign="top" align="center">122 b</td>
<td valign="top" align="center">159 ab</td>
<td valign="top" align="center">161 a</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different alphabet indicates significant difference between genotypes under each soil water and PPFD conditions at each measurement date (n=4, <italic>P</italic>&lt; 0.05, Tukey).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The relationship between <italic>A</italic> and <italic>g<sub>s</sub></italic> was plotted for all measurements for both dry and wet treatments across each genotype (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). The correlation between <italic>A</italic> and <italic>g<sub>s</sub></italic> was statistically significant under both unsaturated and saturated light conditions, with a steeper slope observed under saturated light than under unsaturated light. Among the genotypes, NiF8 exhibited a consistent tendency for higher <italic>g<sub>s</sub></italic> (&gt;0.3&#xa0;mol m<sup>-2</sup> s<sup>-1</sup>), regardless of light conditions. The slope under saturated light was significantly higher for Ni9, J08-12, and J16&#x2013;77 than for NiF8, while JIRCAS1 and JW630 showed higher but not statistically significant trends. Under unsaturated light conditions, the slope was significantly higher for J08&#x2013;12 and J16&#x2013;77 compared with NiF8, whereas Ni9 and JW630 exhibited higher but non-significant trends.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Phenotypic correlation between photosynthetic rate (<italic>A</italic>) and stomatal conductance (<italic>g<sub>s</sub></italic>) under unsaturated and unsaturated light conditions. Gas exchange measurements were conducted at 2000 (&#x25cb;) and 500 (&#x25b3;) &#x3bc;mol m<sup>-2</sup> s<sup>-1</sup> of PPFD using LED for saturated and unsaturated light conditions, respectively. Orange and blue dotted line indicates linear regression line for measurements under saturated and unsaturated light conditions, respectively (n=40). &#x201c;s&#x201d; and &#x201c;<italic>r</italic>&#x201d; indicate regression slope and correlation coefficient, respectively. &#x201c;*&#x201d;, &#x201c;**&#x201d; and &#x201c;***&#x201d; indicate significant regression at <italic>P</italic> &lt; 0.05, 0.01 and 0.001, respectively. &#x201c;+&#x201d;, &#x201c;++&#x201d; and &#x201c;+++&#x201d; indicate significantly different slope from one of NiF8 under each PPFD condition at <italic>P</italic> &lt; 0.05, 0.01 and 0.001, respectively (<italic>t</italic>-test). Whereas intrinsic water use efficiency (<italic>iWUE</italic>) is expressed as the ratio of photosynthetic rate to stomatal conductance, the <italic>A-g<sub>s</sub></italic> relation is a visual representation of the stomatal response of photosynthesis, whose regression equation slope indicates the ability of stomatal opening/closing to respond to soil moisture, allowing a linear interpretation of <italic>iWUE</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1649112-g002.tif">
<alt-text content-type="machine-generated">Scatterplot grid showing relationships between stomatal conductance (\(g_s\)) and photosynthesis rate (\(A\)) for different plant types: NiF8, Ni9 (Sugarcane), JIRCAS1, JW630 (Erianthus), and hybrids J08-12, J16-77. Data points indicate saturated PPFD (circles) and unsaturated PPFD (triangles). Correlation coefficients and slopes are provided for each graph. Sugarcane and Erianthus are separately categorized, with hybrids in a distinct section. Each plot illustrates varying strengths of correlation, denoted by \(r\), and significance levels with asterisks.</alt-text>
</graphic></fig>
<p>The relation of <italic>A</italic>, <italic>g<sub>s</sub></italic>, and <italic>iWUE</italic> to soil moisture was plotted to observe genotype-specific differences relative to NiF8 (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures S5</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S6</bold></xref>, <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). Under saturated light conditions, NiF8 exhibited a higher <italic>A</italic> and more pronounced inter-genotype differences (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S5</bold></xref>). NiF8 also showed higher <italic>g<sub>s</sub></italic>, with higher inter-genotype variation observed under unsaturated light than under saturated light conditions (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S6</bold></xref>). Both <italic>A</italic> and <italic>g<sub>s</sub></italic> exhibited minimal inter-genotype differences under extremely dry conditions (VWC&lt; 0.2 m<sup>3</sup> m<sup>-3</sup>) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures S5</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S6</bold></xref>). The differences in <italic>iWUE</italic> between genotypes were smaller under saturated light than under unsaturated light as well as under conditions of extreme dryness (VWC&lt; 0.2 m<sup>3</sup> m<sup>-3</sup>) compared to wetter conditions (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The <italic>iWUE</italic> of Ni9 consistently remained higher than that of NiF8 under both unsaturated and saturated light conditions, regardless of soil moisture levels (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3A, B</bold></xref>). Although the difference in <italic>iWUE</italic> between <italic>Erianthus</italic> JIRCAS1 and NiF8 was minimal under saturated light, the <italic>iWUE</italic> of JIRCAS1 tended to remain higher than that of NiF8 under unsaturated light conditions (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3C, D</bold></xref>). The <italic>iWUE</italic> of <italic>Erianthus</italic> JW630 was higher than that of NiF8 under both unsaturated and saturated light conditions (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3E, F</bold></xref>). The <italic>iWUE</italic> of the intergeneric hybrids J08&#x2013;12 and J16&#x2013;77 was comparable to or higher than that of their <italic>Erianthus</italic> parents JIRCAS1 and JW630, respectively (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3C&#x2013;F</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Responses of intrinsic water use efficiency (<italic>iWUE</italic>) to soil water changes under unsaturated and saturated light conditions. Average data under each soil water condition (wet or dry) at each measurement date were plotted with error bars for standard deviations (n=4 per genotype). Closed circle with and without line indicate the value under soil dry and wet conditions, respectively. Significant genotypic differences for <italic>iWUE</italic> were shown in the <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref> which shows the differences of values obtained at each date. <bold>(A, B), (C, D), (E, F)</bold> labels show the relations of NiF8 with Ni9, JIRCAS1, and JW630, respectively. <bold>(A, C, E)</bold> show data under unsaturated PPFD conditions while <bold>(B, D, F)</bold> show data under saturated PPFD condition.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1649112-g003.tif">
<alt-text content-type="machine-generated">Six-panel graph comparing intrinsic water-use efficiency (iWUE) across different plant cultivars and hybrids under unsaturated (500 &#x3bc;mol m&#x207b;&#xb2; s&#x207b;&#xb9;) and saturated (2000 &#x3bc;mol m&#x207b;&#xb2; s&#x207b;&#xb9;) photosynthetic photon flux density (PPFD) conditions. Panels A and B compare NiF8 and Ni9 cultivars. Panels C and D compare NiF8, JIRCAS1, and J08-12 hybrids. Panels E and F compare NiF8, JW630, and J16-77 hybrids. Vertical axis shows iWUE in &#x3bc;mol mol&#x207b;&#xb9;, and horizontal axis shows volumetric water content (VWC) in m&#xb3; m&#x207b;&#xb3;. Error bars indicate variability.</alt-text>
</graphic></fig>
<p>ANOVA results based on the mean of each genotype across all measurement conditions and dates indicated that gas exchange parameters were significantly influenced by soil moisture conditions, light conditions, and genotype (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). Among these parameters, <italic>A</italic>, <italic>iWUE</italic>, <italic>C<sub>i</sub></italic>, <italic>E</italic>, and <italic>A</italic>/<italic>E</italic> (photosynthetic water use efficiency) were most strongly affected by PPFD, whereas <italic>g<sub>s</sub></italic> was primarily influenced by genotype. Significant differences in <italic>iWUE</italic> between genotypes were observed on each measurement date, with JW630 and J16&#x2013;77 typically exhibiting significantly higher <italic>iWUE</italic> than NiF8, except under saturated light conditions during the dry treatment (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Comparison of leaf anatomical features among genotypes</title>
<p>The stomatal distribution of the test genotypes, including those of <italic>Erianthus</italic> and intergeneric hybrids, was amphistomatous, with a higher density of stomata on the abaxial surface than on the adaxial surface, consistent with other Poaceae species (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S7</bold></xref>, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). ANOVA results revealed that genotype had a significant effect on all anatomical traits, whereas the effects of water regime and genotype&#x2013;water interaction were relatively small (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Regardless of soil moisture conditions, NiF8 exhibited significantly higher stomatal density on the abaxial surface than JW630 and J16-77. The stomatal density on the adaxial surface was generally lower in NiF8 than in other genotypes, regardless of soil moisture conditions, with significant differences observed only in J08&#x2013;12 under wet conditions and in JIRCAS1 and J16&#x2013;77 under dry conditions. Overall, JW630 showed a lower stomatal density than the other genotypes. The ratio of adaxial to abaxial stomatal density under wet conditions was highest for JW630 and significantly higher for all other genotypes compared to NiF8. No significant differences in stomatal density ratios were observed between sugarcane cultivars or <italic>Erianthus</italic> accessions under dry conditions; however, <italic>Erianthus</italic> and intergeneric hybrids showed higher values compared to the two sugarcane cultivars. The interveinal distance did not differ among the sugarcane cultivars, whereas significant differences were found among <italic>Erianthus</italic> accessions (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure S8</bold></xref>). Specifically, <italic>Erianthus</italic> JW630 and the intergeneric hybrid J16&#x2013;77 showed significantly longer interveinal distances than NiF8, whereas the intergeneric hybrid J08&#x2013;12 showed a tendency for longer interveinal distance, although not significantly.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Stomatal density and leaf interveinal distance of sugarcane, <italic>Erianthus</italic>, and intergeneric F<sub>1</sub>, hybrid under wet and dry conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Treatment</th>
<th valign="top" rowspan="2" colspan="2" align="center">Genotype</th>
<th valign="top" colspan="3" align="center">Stomatal density (no. mm<sup>-2</sup>)</th>
<th valign="top" rowspan="2" align="center">Adaxial / Abaxial ratio</th>
<th valign="top" rowspan="2" align="center">Interveinal distance (&#xb5;m)</th>
</tr>
<tr>
<th valign="top" align="center">Abaxial</th>
<th valign="top" align="center">Adaxial</th>
<th valign="top" align="center">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="center">Wet</td>
<td valign="top" rowspan="2" align="left">Sugarcane</td>
<td valign="top" align="left">NiF8</td>
<td valign="top" align="center">177.9 c</td>
<td valign="top" align="center">92.8 a</td>
<td valign="top" align="center">270.7 b</td>
<td valign="top" align="center">0.52 a</td>
<td valign="top" align="center">122.7 ab</td>
</tr>
<tr>
<td valign="top" align="left">Ni9</td>
<td valign="top" align="center">165.1 bc</td>
<td valign="top" align="center">101.2 ab</td>
<td valign="top" align="center">266.2 ab</td>
<td valign="top" align="center">0.61 b</td>
<td valign="top" align="center">121.1 ab</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left"><italic>Erianthus</italic></td>
<td valign="top" align="left">JIRCAS1</td>
<td valign="top" align="center">160.7 bc</td>
<td valign="top" align="center">108.0 ab</td>
<td valign="top" align="center">268.6 ab</td>
<td valign="top" align="center">0.67 bcd</td>
<td valign="top" align="center">113.8 a</td>
</tr>
<tr>
<td valign="top" align="left">JW630</td>
<td valign="top" align="center">134.6 a</td>
<td valign="top" align="center">98.4 ab</td>
<td valign="top" align="center">233.1 a</td>
<td valign="top" align="center">0.73 d</td>
<td valign="top" align="center">139.7 c</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">F<sub>1</sub> hybrid</td>
<td valign="top" align="left">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">164.1 bc</td>
<td valign="top" align="center">114.9 b</td>
<td valign="top" align="center">276.1 b</td>
<td valign="top" align="center">0.68 cd</td>
<td valign="top" align="center">134.8 bc</td>
</tr>
<tr>
<td valign="top" align="left">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">147.8 ab</td>
<td valign="top" align="center">98.7 ab</td>
<td valign="top" align="center">246.4 ab</td>
<td valign="top" align="center">0.67 bc</td>
<td valign="top" align="center">151.8 c</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Dry</td>
<td valign="top" rowspan="2" align="left">Sugarcane</td>
<td valign="top" align="left">NiF8</td>
<td valign="top" align="center">177.0 c</td>
<td valign="top" align="center">93.7 ab</td>
<td valign="top" align="center">270.7 b</td>
<td valign="top" align="center">0.53 a</td>
<td valign="top" align="center">128.8 b</td>
</tr>
<tr>
<td valign="top" align="left">Ni9</td>
<td valign="top" align="center">161.9 bc</td>
<td valign="top" align="center">89.8 a</td>
<td valign="top" align="center">251.7 ab</td>
<td valign="top" align="center">0.55 a</td>
<td valign="top" align="center">131.7 bc</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left"><italic>Erianthus</italic></td>
<td valign="top" align="left">JIRCAS1</td>
<td valign="top" align="center">159.5 b</td>
<td valign="top" align="center">108.3 c</td>
<td valign="top" align="center">267.8 b</td>
<td valign="top" align="center">0.68 bc</td>
<td valign="top" align="center">111.8 a</td>
</tr>
<tr>
<td valign="top" align="left">JW630</td>
<td valign="top" align="center">138.1 a</td>
<td valign="top" align="center">99.9 abc</td>
<td valign="top" align="center">238.0 a</td>
<td valign="top" align="center">0.72 c</td>
<td valign="top" align="center">147.0 cd</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">F<sub>1</sub> hybrid</td>
<td valign="top" align="left">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">167.3 bc</td>
<td valign="top" align="center">106.1 bc</td>
<td valign="top" align="center">269.5 b</td>
<td valign="top" align="center">0.61 ab</td>
<td valign="top" align="center">135.9 bc</td>
</tr>
<tr>
<td valign="top" align="left">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">160.3 b</td>
<td valign="top" align="center">106.0 c</td>
<td valign="top" align="center">266.4 b</td>
<td valign="top" align="center">0.66 bc</td>
<td valign="top" align="center">153.5 d</td>
</tr>
<tr>
<td valign="top" colspan="2" align="center" rowspan="4"><italic>ANOVA</italic> (%)</td>
<td valign="top" align="left">Genotype (G)</td>
<td valign="top" align="center">73.1 ***</td>
<td valign="top" align="center">43.7 ***</td>
<td valign="top" align="center">51.1 ***</td>
<td valign="top" align="center">80.7 ***</td>
<td valign="top" align="center">74.6 ***</td>
</tr>
<tr>
<td valign="top" align="left">Water regime (W)</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">0.0</td>
<td valign="top" align="center">1.9 *</td>
<td valign="top" align="center">1.9</td>
</tr>
<tr>
<td valign="top" align="left">G * W</td>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">15.4 *</td>
<td valign="top" align="center">9.2</td>
<td valign="top" align="center">4.1</td>
<td valign="top" align="center">2.0</td>
</tr>
<tr>
<td valign="top" align="left">Residue</td>
<td valign="top" align="center">23.1</td>
<td valign="top" align="center">40.0</td>
<td valign="top" align="center">39.7</td>
<td valign="top" align="center">13.6</td>
<td valign="top" align="center">21.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Different alphabet indicates significant difference between genotypes under each soil water (n=4, <italic>P</italic>&lt; 0.05, Tukey). ANOVA was shown in the bottom column with percentage of each factorial variance to total variance. "*" and "***" indicate significance at <italic>P</italic>&lt;0.05 and 0.001, respectively. </p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Comparison of biomass production response to drought among genotypes</title>
<p>ANOVA results indicated that both genotype and water regime significantly affected all parameters related to dry matter production (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>), except for NUE (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>). Furthermore, the interaction between genotype and water regime was significant for all parameters, except for LAR and NUE. Genotypic differences in <italic>gWUE</italic> displayed varying trends across treatments. Under wet conditions, the genotypic differences in the <italic>gWUE</italic> of shoot dry mass were not significant, though the <italic>gWUE</italic> tended to be higher for the two sugarcane cultivars and the intergeneric hybrid J08&#x2013;12 than for the two <italic>Erianthus</italic> accessions and the intergeneric hybrid J16-77. However, under dry conditions, genotypic differences in the <italic>gWUE</italic> of shoot dry mass were significant, with the two <italic>Erianthus</italic> accessions showing the lowest values, followed by the two sugarcane cultivars and the two intergeneric hybrids. Comparing the values between two treatments, the <italic>gWUE</italic> ratios of dry to wet conditions for average shoot dry mass tended to be higher for sugarcane and the intergeneric hybrids than for <italic>Erianthus</italic>, with similar trends observed for the <italic>gWUE</italic> of total dry mass. LAR was minimally affected by soil moisture conditions, with clear genotypic differences. The two <italic>Erianthus</italic> accessions exhibited significantly higher LAR values than the other genotypes. The shoot mass/root mass (S/R) ratios showed similar trends under both dry and wet conditions, being lower for <italic>Erianthus</italic> and higher for both sugarcane and intergeneric hybrids. The S/R ratio was the lowest for <italic>Erianthus</italic> JW630, and intermediate to higher for intergeneric hybrids compared to those for the parental genotypes. Under wet conditions, the stem elongation rate was significantly higher for the other genotypes than for <italic>Erianthus</italic> JW630, whereas under dry conditions, it was significantly higher or tended to be higher for the other genotypes than for the two <italic>Erianthus</italic> accessions. NUE variation among replicates was large, and genotypic differences were unclear (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S2</bold></xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Shoot growth parameters of sugarcane, <italic>Erianthus</italic>, and intergeneric F<sub>1</sub> hybrid under wet and dry conditions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Treatment</th>
<th valign="middle" rowspan="2" colspan="2" align="center">Genotype</th>
<th valign="middle" colspan="2" align="center">gWUE (gDW L<sup>-1</sup>)</th>
<th valign="middle" align="center">LAR</th>
<th valign="middle" align="center">Shoot / root ratio</th>
<th valign="middle" align="center">Stem elongation rate</th>
</tr>
<tr>
<th valign="middle" align="center">Shoot</th>
<th valign="middle" align="center">Total</th>
<th valign="middle" align="center">(cm<sup>2</sup> gDW<sup>-1</sup>)</th>
<th valign="middle" align="center">(g g<sup>-1</sup>)</th>
<th valign="middle" align="center">(cm day<sup>-1</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="center">Wet</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">4.0 a</td>
<td valign="top" align="center">5.6 c</td>
<td valign="top" align="center">51.2 a</td>
<td valign="top" align="center">8.6 ab</td>
<td valign="top" align="center">2.0 b</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">4.5 a</td>
<td valign="top" align="center">4.9 abc</td>
<td valign="top" align="center">55.2 a</td>
<td valign="top" align="center">10.2 b</td>
<td valign="top" align="center">2.5 bc</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">3.7 a</td>
<td valign="top" align="center">4.1 ab</td>
<td valign="top" align="center">74.9 b</td>
<td valign="top" align="center">8.2 ab</td>
<td valign="top" align="center">2.0 bc</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">3.9 a</td>
<td valign="top" align="center">5.0 abc</td>
<td valign="top" align="center">74.1 b</td>
<td valign="top" align="center">4.8 a</td>
<td valign="top" align="center">1.0 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">5.0 a</td>
<td valign="top" align="center">5.4 bc</td>
<td valign="top" align="center">53.5 a</td>
<td valign="top" align="center">11.2 b</td>
<td valign="top" align="center">2.6 c</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">3.7 a</td>
<td valign="top" align="center">3.9 a</td>
<td valign="top" align="center">60.4 a</td>
<td valign="top" align="center">17.0 c</td>
<td valign="top" align="center">2.0 b</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Dry</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">5.8 ab</td>
<td valign="top" align="center">8.7 b</td>
<td valign="top" align="center">47.1 a</td>
<td valign="top" align="center">7.7 c</td>
<td valign="top" align="center">1.4 bc</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">6.7 bc</td>
<td valign="top" align="center">7.7 ab</td>
<td valign="top" align="center">49.9 a</td>
<td valign="top" align="center">7.3 bc</td>
<td valign="top" align="center">1.8 c</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">5.0 a</td>
<td valign="top" align="center">6.0 a</td>
<td valign="top" align="center">69.7 b</td>
<td valign="top" align="center">5.5 ab</td>
<td valign="top" align="center">1.1 ab</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">5.3 ab</td>
<td valign="top" align="center">7.1 ab</td>
<td valign="top" align="center">66.4 b</td>
<td valign="top" align="center">4.8 a</td>
<td valign="top" align="center">0.8 a</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">7.4 c</td>
<td valign="top" align="center">8.8 b</td>
<td valign="top" align="center">48.4 a</td>
<td valign="top" align="center">6.2 abc</td>
<td valign="top" align="center">1.5 bc</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">7.7 c</td>
<td valign="top" align="center">8.4 b</td>
<td valign="top" align="center">54.7 a</td>
<td valign="top" align="center">11.5<break/>d</td>
<td valign="top" align="center">1.6 c</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Dry/Wet</td>
<td valign="top" rowspan="2" align="center">Sugarcane</td>
<td valign="top" align="center">NiF8</td>
<td valign="top" align="center">1.46</td>
<td valign="top" align="center">1.55</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">0.89</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="center">Ni9</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.57</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center"><italic>Erianthus</italic></td>
<td valign="top" align="center">JIRCAS1</td>
<td valign="top" align="center">1.37</td>
<td valign="top" align="center">1.45</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">0.67</td>
<td valign="top" align="center">0.53</td>
</tr>
<tr>
<td valign="top" align="center">JW630</td>
<td valign="top" align="center">1.36</td>
<td valign="top" align="center">1.41</td>
<td valign="top" align="center">0.90</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="center">F<sub>1</sub> hybrid</td>
<td valign="top" align="center">J08-12 (NiF8 x JIRCAS1)</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">1.62</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.56</td>
<td valign="top" align="center">0.57</td>
</tr>
<tr>
<td valign="top" align="center">J16-77 (NiF8 x JW630)</td>
<td valign="top" align="center">2.07</td>
<td valign="top" align="center">2.13</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="center"><italic>ANOVA</italic> (%)</td>
<td valign="top" align="center">Genotype (G)</td>
<td valign="top" align="center">20.0<break/>***</td>
<td valign="top" align="center">15.4<break/>***</td>
<td valign="top" align="center">76.6<break/>***</td>
<td valign="top" align="center">60.4<break/>***</td>
<td valign="top" align="center">47.6<break/>***</td>
</tr>
<tr>
<td valign="top" align="center">Water regime (W)</td>
<td valign="top" align="center">56.3<break/>***</td>
<td valign="top" align="center">66.8<break/>***</td>
<td valign="top" align="center">6.8<break/>***</td>
<td valign="top" align="center">14.9<break/>***</td>
<td valign="top" align="center">32.0<break/>***</td>
</tr>
<tr>
<td valign="top" align="center">G * W</td>
<td valign="top" align="center">9.1<break/>**</td>
<td valign="top" align="center">5.7<break/>*</td>
<td valign="top" align="center">0.3</td>
<td valign="top" align="center">7.2<break/>*</td>
<td valign="top" align="center">7.3<break/>**</td>
</tr>
<tr>
<td valign="top" align="center">Residue</td>
<td valign="top" align="center">14.6</td>
<td valign="top" align="center">12.1</td>
<td valign="top" align="center">16.3</td>
<td valign="top" align="center">17.5</td>
<td valign="top" align="center">13.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>gWUE</italic> and LAR indicate gravimetric water use efficiency and leaf area ratio, respectively. Different alphabet indicates significant difference between genotypes under each soil water (n=4, <italic>P</italic>&lt; 0.05, Tukey). ANOVA was shown in the bottom column with percentage of each factorial variance to total variance. "*", "**", and "***" indicate significance at <italic>P</italic>&lt;0.05, 0.01, and 0.001, respectively.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Dry matter partitioning for each organ is shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>. In sugarcane, a higher proportion of dry matter was allocated to the stem, with reduced allocation to the leaves due to drought, leading to an increase in dead tissue. In contrast, the <italic>Erianthus</italic> accessions exhibited higher partitioning to leaves and roots. Although intergeneric hybrids tended to increase root partitioning under drought, their overall dry matter allocation was similar to that of sugarcane, with more dry matter directed to the stems.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Dry matter partitions of sugarcane, <italic>Erianthus</italic>, and intergeneric F<sub>1</sub> hybrid under wet and dry conditions. Blue (deep: main stem, light: tillers), purple (deep: main stem, semi-light: tillers, light: underground (stubble)), black (deep: main stem, light: tillers), and orange colors indicate leaf parts, stem parts, dead parts, and root parts, respectively. This figure visually shows the differences and similarities in dry matter distribution and supplements the dry matter distribution parameters expressed in terms of LAR and shoot/root ratio (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Here, we can visually see that sugarcane and intergeneric hybrids show similar dry matter partitioning.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1649112-g004.tif">
<alt-text content-type="machine-generated">Stacked bar chart showing dry matter partitioning in various plant genotypes under dry and wet conditions. Categories include leaf and stem parts of main stem and tillers, underground stem, dead parts, and root. Each genotype, such as NiF8, Ni9, JIRCAS1, etc., has separate bars for dry and wet treatments, with color-coded segments representing different plant components. The chart compares sugarcane, Erianthus, and F&#x2081; hybrid genotypes.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Comparison of stomatal responses to soil water conditions in sugarcane and <italic>Erianthus</italic></title>
<p>The relationship between <italic>A</italic> and <italic>g<sub>s</sub></italic> (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) indicated that <italic>Erianthus</italic> exhibited a more sensitive stomatal response, with lower <italic>g<sub>s</sub></italic> and lesser transpiration than the drought-susceptible cultivar NiF8, regardless of light conditions. This trend was particularly evident under unsaturated light conditions. In contrast, compared to that of the drought-tolerant cultivar Ni9, the <italic>A vs g<sub>s</sub></italic> slope for <italic>Erianthus</italic> was not high, indicating that stomatal responsiveness in <italic>Erianthus</italic> was not necessarily higher than that in sugarcane (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). A key feature of gas exchange in <italic>Erianthus</italic>, as compared to sugarcane, is the high stomatal responsiveness while maintaining <italic>g<sub>s</sub></italic> at consistent low levels, which indicates the presence of an underlying anatomical mechanism (<xref ref-type="bibr" rid="B41">Lawson and Blatt, 2014</xref>; <xref ref-type="bibr" rid="B8">Bertolino et&#xa0;al., 2019</xref>). Typically, longer interveinal distances and fewer stomata result in lower <italic>g<sub>s</sub></italic> (<xref ref-type="bibr" rid="B38">Kawamitsu et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B84">Xu and Zhou, 2008</xref>; <xref ref-type="bibr" rid="B59">Pitaloka et&#xa0;al., 2022</xref>). When factors affecting stomatal responses, such as water status (soil moisture, VPD, etc.) and solar radiation, are variable, the stomatal reactivity&#x2014;the ability to adjust stomatal opening and closing in response to these factors&#x2014;plays a critical role in maintaining high <italic>iWUE</italic> (<xref ref-type="bibr" rid="B39">Kawamitsu et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B75">Tominaga et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B48">Matthews et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B16">Dinh et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B42">Lawson and Vialet-Chabrand, 2019</xref>; <xref ref-type="bibr" rid="B56">Ozeki et&#xa0;al., 2022</xref>). A better stomatal response has been reported in leaves that are more amphistomatous, with a higher distribution of stomata on the adaxial surface relative to the abaxial surface (<xref ref-type="bibr" rid="B27">Haworth et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B19">Drake et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B83">Xiong and Flexas, 2020</xref>). Amphistomatous leaves contribute to maintaining optimal leaf water status in response to transpiration demand. When stomata are open, the temperature gradient between the atmosphere, stomatal cavity, and leaf chloroplast is reduced (<xref ref-type="bibr" rid="B19">Drake et&#xa0;al., 2019</xref>), suggesting that stomatal responses to VPD&#x2014;the driving force for transpiration&#x2014;can be effectively regulated (<xref ref-type="bibr" rid="B39">Kawamitsu et&#xa0;al., 1993</xref>, <xref ref-type="bibr" rid="B38">2002</xref>). Furthermore, in C<sub>4</sub> grasses, more stomata on the adaxial surface can increase the surface area of mesophyll cells in contact with intracellular air space, enhancing <italic>iWUE</italic> and mesophyll conductance (<xref ref-type="bibr" rid="B58">Pathare et&#xa0;al., 2020</xref>). In the present study, the <italic>Erianthus</italic> species, particularly JW630, exhibited fewer stomata on the abaxial surface (resulting in a longer interveinal distance) and a more amphistomatous stomatal distribution (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), which may explain its heightened stomatal responsiveness.</p>
<p>Furthermore, <italic>Erianthus</italic> JIRCAS1 exhibited a trend toward higher <italic>iWUE</italic> than the susceptible cultivar NiF8 under both wet and dry conditions, although its <italic>iWUE</italic> was not consistently higher than that of the drought-tolerant cultivar Ni9 (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). In contrast, <italic>Erianthus</italic> JW630 consistently showed significantly higher <italic>iWUE</italic> than both NiF8 and Ni9. The high <italic>iWUE</italic> of <italic>Erianthus</italic> JW630 was likely attributed to leaf anatomy, including low stomatal density, (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>), leading to low <italic>g<sub>s</sub></italic>, and may have a different physiological mechanism compared to that of drought-tolerant Ni9. The ability of <italic>Erianthus</italic> to maintain high <italic>A</italic> despite a low <italic>g<sub>s</sub></italic> (that is, a high <italic>iWUE</italic>) may be linked to ultrastructural features such as mesophyll cell wall thickness and surface area in contact with the stomatal cavity, both of which are involved in bundle sheath leakiness (<xref ref-type="bibr" rid="B79">von Caemmerer and Furbank, 2003</xref>). Further investigation of gas exchange characteristics, such as <italic>A</italic>-<italic>C<sub>i</sub></italic> curves, and anatomical features of this species will provide deeper insights into these mechanisms.</p>
<p><italic>Erianthus</italic> exhibits genetically distinct lineages (<xref ref-type="bibr" rid="B76">Tsuruta et&#xa0;al., 2012</xref>, <xref ref-type="bibr" rid="B77">2017</xref>, <xref ref-type="bibr" rid="B78">2022</xref>) which influence variations in its morphological, ecological (<xref ref-type="bibr" rid="B65">Tagane et&#xa0;al., 2012</xref>), and agronomic (<xref ref-type="bibr" rid="B73">Terajima et&#xa0;al., 2022</xref>) traits. In the current study, variation in <italic>iWUE</italic> was observed between two <italic>Erianthus</italic> accessions (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) which are classified into different genetic groups (<xref ref-type="bibr" rid="B76">Tsuruta et&#xa0;al., 2012</xref>, <xref ref-type="bibr" rid="B77">2017</xref>). The accession JW630 was collected from Shizuoka Prefecture, a temperate region in Japan, while the origin of JIRCAS1 remains unknown. Previous studies have primarily focused on tropical accessions, such as the IJ series, which also exhibit high <italic>iWUE</italic> and related variations (<xref ref-type="bibr" rid="B33">Jackson et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B43">Li et&#xa0;al., 2017</xref>). These findings highlight the need for further investigation into the variation in leaf characteristics across different genotypic groups in <italic>Erianthus</italic>. Additionally, selecting <italic>Erianthus</italic> genotypes for improving drought tolerance in sugarcane will require considering both root system and aboveground traits.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Potential for enhancing sugarcane <italic>gWUE</italic> via <italic>iWUE</italic> improvement through intergeneric hybridization with <italic>Erianthus</italic></title>
<p><xref ref-type="bibr" rid="B33">Jackson et&#xa0;al. (2016)</xref> reported a strong correlation between <italic>iWUE</italic> and <italic>gWUE</italic> in sugarcane germplasm, with several <italic>Erianthus</italic> accessions showing higher values for both parameters compared to sugarcane. However, in the current study, high <italic>iWUE</italic> did not necessarily lead to high <italic>gWUE</italic> in <italic>Erianthus</italic>. This discrepancy may be attributed to differences in growing conditions: <xref ref-type="bibr" rid="B33">Jackson et&#xa0;al. (2016)</xref> conducted their trial in larger pots under outdoor conditions, while our study, was performed in smaller pots in a glasshouse. These differences may have limited branching in sugarcane varieties and caused greater root restriction in <italic>Erianthus</italic>. It is recommended that <italic>gWUE</italic> evaluation and screening in pot trials should take into account pot size and that evaluation of leaf traits at very early growth stages, rather than <italic>gWUE</italic>, would be more appropriate to validly evaluate genotypic differences under pot experiments. Despite this discrepancy with previous studies, low <italic>iWUE</italic> in sugarcane may result in low <italic>gWUE</italic> under field conditions, particularly under field canopy conditions, due to the larger leaf area and high LAR (or high LAI) of tillers. Additionally, because many leaves under a shaded canopy perform photosynthesis under low-light conditions (<xref ref-type="bibr" rid="B2">Almeida et&#xa0;al., 2022</xref>), where <italic>iWUE</italic>, which exhibits higher genotypic variation under low-light conditions, may have a more pronounced impact on <italic>gWUE</italic>. <italic>Erianthus</italic>, recognized for its drought-tolerance, may achieve high <italic>gWUE</italic> even at high LAR (caused by presence of many tillers), owing to its robust root system in the field (<xref ref-type="bibr" rid="B74">Terajima et&#xa0;al., 2023</xref>), in addition to its high <italic>iWUE</italic> (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). The intergeneric F<sub>1</sub> hybrids, which exhibited high <italic>gWUE</italic> under pot conditions<bold>&#x2014;</bold>unlike the parental <italic>Erianthus</italic> accessions<bold>&#x2014;</bold>showed high <italic>iWUE</italic> (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) and demonstrated sugarcane-like dry matter partitioning characteristics (low LAR, high S/R ratio, and higher stem partitioning) (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>, <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). Consequently, these hybrids may potentially maintain high <italic>gWUE</italic> even under field canopy conditions with high LAR. Although the intergeneric hybrids exhibited limited dry matter partitioning to roots in this study, which focused on relatively early growth under pot conditions, field studies have shown that the hybrid J08&#x2013;12 forms roots with intermediate potential between parental species, exhibiting higher root mass and depth than sugarcane (<xref ref-type="bibr" rid="B69">Takaragawa et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B74">Terajima et&#xa0;al., 2023</xref>). These findings in the present study highlighted the "best of both worlds" scenario demonstrated by the hybrids, where they inherited high <italic>iWUE</italic> from <italic>Erianthus</italic> with favorable biomass partitioning characteristics from sugarcane. This fact could represent the ideal outcome for breeding drought-tolerant varieties via intergeneric hybridization with <italic>Erianthus</italic>. Further field trials will assess the relationships among <italic>iWUE</italic>, canopy coverage, root system formation, and <italic>gWUE</italic> using a hybrid population derived from several sets of parental genotypes.</p>
<p>The PPFD for gas exchange measurements had the greatest influence on <italic>iWUE</italic> (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). Genotypic differences in <italic>iWUE</italic> were particularly pronounced under unsaturated light (500 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) conditions than under saturated light (2000 &#xb5;mol m<sup>-2</sup> s<sup>-1</sup>) conditions (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Additionally, the slope of the <italic>A vs g<sub>s</sub></italic> curve was smaller, and the stomatal response was notably lower under unsaturated light conditions than under saturated light conditions (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). Therefore, <italic>iWUE</italic> screening under low-light conditions may prove effective and provide practical implications for developing high-throughput phenotyping protocols for drought tolerance screening. In contrast, such differences in stomatal responses due to varying light conditions suggest that obtaining stable results when measuring the response at multiple sites under field conditions may be challenging, especially in regions such as Okinawa (which comprise small islands and represent our study site), where the weather frequently shifts between cloudy and sunny within short time frames. Genotypic differences in <italic>iWUE</italic> vary depending on the measurement date; therefore, measuring within a moderate <italic>g<sub>s</sub></italic> range (0.2&#x2013;0.3 mol m<sup>-2</sup> s<sup>-1</sup>, <xref ref-type="bibr" rid="B33">Jackson et&#xa0;al., 2016</xref>; 0.1&#x2013;0.4 mol m<sup>-2</sup> s<sup>-1</sup>, <xref ref-type="bibr" rid="B54">Natarajan et&#xa0;al., 2021</xref>) or averaging multiple measurements, is recommended (<xref ref-type="bibr" rid="B33">Jackson et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B43">Li et&#xa0;al., 2017</xref>). Considering this climate instability, investigating genotypic differences in response to fluctuating light conditions (<xref ref-type="bibr" rid="B21">Eyland et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B71">Tanaka et&#xa0;al., 2019</xref>) and exploring non-destructive methods for measuring daily variations in gas exchange, such as sap flow for transpiration (<xref ref-type="bibr" rid="B12">Contreras and Ozawa, 2005</xref>), are essential.</p>
<p>Gas exchange measurements are strongly influenced by environmental variations during data collection, which can compromise the stability and efficiency of the measurements. In recent years, the throughput of photosynthesis measurements has been enhanced by reducing measurement time through the use of closed-type equipment (<xref ref-type="bibr" rid="B28">Honda et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B72">Tanaka et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B67">Takaragawa and Matsuda, 2023</xref>). There have been no previous reports on high-throughput estimating and screening <italic>iWUE</italic> using UAVs and hyperspectral images, while component parameters for <italic>iWUE</italic> can be estimated by aerial image analysis: transpiration indices from leaf or canopy temperatures obtained from thermal images (<xref ref-type="bibr" rid="B6">Basnayake et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B31">Iseki and Olaleye, 2020</xref>; <xref ref-type="bibr" rid="B55">Natarajan et&#xa0;al., 2019</xref>) and photosynthetic activity using hyperspectral images (<xref ref-type="bibr" rid="B40">Kohzuma et&#xa0;al., 2021</xref>). However, despite recent advancements and attempts (<xref ref-type="bibr" rid="B66">Takaragawa et&#xa0;al., 2025</xref>), improvements in the measurement throughput of <italic>iWUE</italic>, which requires simultaneous measurement of photosynthesis and <italic>g<sub>s</sub></italic>, remain incomplete.</p>
<p>Gas exchange is governed by complex biochemical processes influenced by metabolites, enzymes, and morphology (<xref ref-type="bibr" rid="B62">Sage et&#xa0;al., 2013</xref>). Among these, leaf morphological and anatomical traits, particularly stomatal characteristics, play a critical role in supporting gas exchange and mechanical function (<xref ref-type="bibr" rid="B23">Franks and Farquhar, 2007</xref>; <xref ref-type="bibr" rid="B26">Haworth et&#xa0;al., 2021</xref>). Although anatomical traits, such as stomatal density, are not sufficiently robust or universal enough to be used for species classification (<xref ref-type="bibr" rid="B14">Davis, 1987</xref>), they exhibit a smaller environmental variation compared to gas exchange characteristics and can show stable genotypic variation (<xref ref-type="bibr" rid="B50">Moreno-Sotomayor et&#xa0;al., 2002</xref>). The current study also demonstrated that environmental variation in leaf anatomical traits was relatively small as indicated by ANOVA results (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). The leaf anatomical characteristics of the intergeneric F<sub>1</sub> hybrids were intermediate between the parental genotypes, with intergeneric hybridization with <italic>Erianthus</italic> resulting in a progeny having longer interveinal distances, fewer stomata on the abaxial surface, and a higher stomatal distribution ratio (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). These findings suggest that the improvement in <italic>iWUE</italic> through intergeneric hybridization was facilitated by changes in leaf anatomy. When examining hybrid populations, the throughput of morphological and anatomical observations may need to be enhanced through rapid image acquisition or other methods (<xref ref-type="bibr" rid="B64">Strock et&#xa0;al., 2022</xref>).</p>
<p>Although intergeneric hybridization offers potential for improving leaf traits of sugarcane, F<sub>1</sub> hybrids typically exhibit lower sugar content with higher fiber content than sugarcane parents (<xref ref-type="bibr" rid="B57">Pachakkil et&#xa0;al., 2019</xref>), which discourages their direct utilization in breeding programs for sugar industry. Therefore, backcrossing using sugarcane variety must be performed to improve sugar content of hybrids, requiring a further investigation of leaf traits in the backcross populations.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>We attempted to assess the potential for introducing the superior leaf traits of <italic>Erianthus</italic> into sugarcane by comparing the response of leaf traits to drought among sugarcane &#xd7; <italic>Erianthus</italic> intergeneric F<sub>1</sub> hybrids and their parental genotypes. In conclusion, the use of <italic>Erianthus</italic> germplasm, not drought-tolerant sugarcane cultivars, for improving drought tolerance in sugarcane remains a subject of debate. However, our study shows that incorporating <italic>Erianthus</italic> species into breeding programs could enhance the overall drought tolerance of sugarcane because intergeneric F<sub>1</sub> hybrid exhibited favorable trait combinations inherited from both sugarcane and <italic>Erianthus</italic> parents (<xref ref-type="fig" rid="f5"><bold>Figure 5</bold></xref>). <italic>Erianthus</italic> has the potential to significantly improve not only leaf physiological and morphological characteristics, as demonstrated in the current study, but also the root system formation ability (<xref ref-type="bibr" rid="B24">Fukuhara et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B69">Takaragawa et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B74">Terajima et&#xa0;al., 2023</xref>). Future research will focus on comparing several F<sub>1</sub> and BC hybrid populations, incorporating both drought-tolerant cultivars and <italic>Erianthus</italic>, to further assess their potential for improving drought resilience in sugarcane under field conditions.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>A schematic summary diagram for key differences between sugarcane, <italic>Erianthus</italic>, and intergeneric F<sub>1</sub> hybrids. <italic>iWUE</italic>, <italic>gWUE</italic>, LAR, and S/R ratio indicate intrinsic water use efficiency, gravimetric water use efficiency, leaf area ratio, and shoot biomass/root baiomass ratio, respectively. Amphistomatous indicates high stomatal density ratio of adaxial to abaxial leaf surface. The diagram highlighted the "best of both worlds" scenario demonstrated by the hybrids.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1649112-g005.tif">
<alt-text content-type="machine-generated">A table compares traits of Sugarcane, Erianthus, and an Intergeneric F1 hybrid. For iWUE stomatal responsiveness, values are low for Sugarcane, high for Erianthus and the hybrid. gWUE is high in Sugarcane, low in Erianthus, and high in the hybrid. Amphistomatous trait is low in Sugarcane, high in Erianthus and the hybrid. Biomass allocation shows Sugarcane has high allocation, low LAR, high S/R ratio, while Erianthus has low allocation, high LAR, low S/R ratio, and the hybrid has high allocation, low LAR, high S/R ratio.</alt-text>
</graphic></fig>
</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>HT: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YT: Funding acquisition, Resources, Writing &#x2013; review &amp; editing. KO: Data curation, Investigation, Methodology, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We express our sincere gratitude to the JIRCAS-TARF staff for their assistance with experimental management and measurements. We also thank Dr. Masakazu Nakayama, Dr. Kosuke Hamada, and Dr. Hiroshi Matsuda for their support with leaf area measurements, calibration of EC-5 sensors, and statistical analysis of genotypic differences in <italic>A vs</italic>. <italic>g<sub>s</sub></italic> slopes, respectively.</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>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</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.2025.1649112/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1649112/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<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/492183">Takaki Yamauchi</ext-link>, Nagoya University, Japan</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/2008255">Congcong Guo</ext-link>, Hebei Agricultural University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3112061">Nakorn Jongrungklang</ext-link>, Khon Kaen University, Thailand</p></fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p><italic>A</italic>, photosynthetic rate; <italic>C<sub>i</sub></italic>, intercellular carbon dioxide; <italic>E</italic>, transpiration rate; <italic>g<sub>s</sub></italic>, stomatal conductance; <italic>gWUE</italic>, gravimetric water use efficiency; <italic>iWUE</italic>, intrinsic water use efficiency; LAR, leaf area ratio; NUE, nitrogen use efficiency; pF, soil matric potential; PPFD, photosynthetic photon flux density; VPD, vapor pressure deficit; VWC, volume water content.</p>
</fn>
</fn-group>
</back>
</article>