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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>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2026.1754589</article-id>
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<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Quantifying germination cardinal temperatures of ten forage legumes using non-linear regression models</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Shi</surname><given-names>Mengyao</given-names></name>
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<name><surname>Hu</surname><given-names>Yumeng</given-names></name>
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<name><surname>Han</surname><given-names>Yiran</given-names></name>
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<name><surname>Gai</surname><given-names>Yihao</given-names></name>
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<name><surname>Lei</surname><given-names>Zitong</given-names></name>
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<contrib contrib-type="author">
<name><surname>Yuan</surname><given-names>Yichen</given-names></name>
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<name><surname>Zhong</surname><given-names>Shangzhi</given-names></name>
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<name><surname>Sun</surname><given-names>Juan</given-names></name>
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<name><surname>Tao</surname><given-names>Qibo</given-names></name>
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<aff id="aff1"><label>1</label><institution>Shandong Key Laboratory for Germplasm Innovation of Saline-alkaline Tolerant Grasses and Trees, Qingdao Key Laboratory of Specialty Plant Germplasm Innovation and Utilization in Saline Soils of Coastal Beach, College of Grassland Science, Qingdao Agricultural University</institution>, <city>Qingdao</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>College of Animal Science and Technology, Qingdao Agricultural University</institution>, <city>Qingdao</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Juan Sun, <email xlink:href="mailto:sunjuan@qau.edu.cn">sunjuan@qau.edu.cn</email>; Qibo Tao, <email xlink:href="mailto:taoqibo@qau.edu.cn">taoqibo@qau.edu.cn</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>These authors share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1754589</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>06</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Shi, Hu, Jia, Zhao, Tan, Teng, Han, Gai, Lei, Yuan, Zhong, Sun and Tao.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Shi, Hu, Jia, Zhao, Tan, Teng, Han, Gai, Lei, Yuan, Zhong, Sun and Tao</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">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>Forage legumes play a pivotal role in livestock production, environmental protection, sustainable cropping systems, and various industrial applications. Understanding the germination thermal requirements of forage legumes is necessary for optimizing their sowing and production. The response of germination rate to temperature can be described using non-linear regression models.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this study, ten constant temperatures (from 0 to 45&#xb0;C with 5&#xb0;C interval) were evaluated, and two non-linear regression models (intersected-lines and quadratic polynomial) were applied to quantify cardinal temperatures and thermal ranges for ten important forage legumes.</p>
</sec>
<sec>
<title>Results and discussion</title>
<p>Both germination percentage and germination speed were low in hot and cold temperatures outside the range of 15-25&#xb0;C for these species. Notably, significant inter-species variation in thermal requirements was identified. Alfalfa (<italic>Medicago sativa</italic>), yellow medick (<italic>Medicago falcata</italic>), and erect milkvetch (<italic>Astragalus adsurgens</italic>) demonstrated high thermal plasticity, characterized by low minimum (base) temperature (<italic>T<sub>b</sub></italic>), high maximum temperature (<italic>T<sub>m</sub></italic>), and wide thermal ranges. Conversely, sweet clover (<italic>Melilotus officinalis</italic>) exhibited a preference for cooler thermal regimes, with the lowest optimum temperature (<italic>T<sub>o</sub></italic>) and <italic>T<sub>m</sub></italic> thresholds. Niuzhizi (<italic>Lespedeza potaninii</italic>) and white clover (<italic>Trifolium repens</italic>) were identified as thermophilic species, requiring higher temperatures for optimal germination, as evidenced by their higher <italic>T<sub>o</sub></italic> and <italic>T<sub>m</sub></italic> thresholds, whereas species of the genus <italic>Vicia</italic> and red clover (<italic>Trifolium pratense</italic>) were best adapted to moderate thermal environments. Furthermore, germination speed-related parameters were more sensitive to temperature fluctuations than germination percentage. Among the tested models, the intersected-lines model showed superior performance for predicting the cardinal temperatures of the ten forage legumes, as indicated by a lower root mean square of error (RMSE) and a higher coefficient of determination (<italic>R&#xb2;</italic>). No statistically significant relationships between cardinal temperatures and germination parameters were observed. These findings provide a scientific basis for improving sowing practices and regional species selection, which is vital for forage legume cultivation and production. The identification of cardinal temperatures is also crucial for the development of plant growth and biomass prediction models that simulate growth and estimate yield under current and future climate scenarios.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cardinal temperature</kwd>
<kwd>forage legumes</kwd>
<kwd>germination rate</kwd>
<kwd>non-linear regression models</kwd>
<kwd>thermal range</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was funded by Key R&amp;D Program of Shandong Province, China (2025CXPT149); National Natural Science Foundation of China (32401472); China Agricultural Research System (CARS-34); Qingdao Agricultural University Doctoral Start-up Fund (663-1121038); Natural Science Foundation of Shandong Province (ZR2022QC151).</funding-statement>
</funding-group>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Crop and Product Physiology</meta-value>
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</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Over the past three decades, considerable economic and social development, coupled with rising living standards, has significantly shifted dietary habits in China and globally, marked by increased consumption of animal-sourced foods, such as meat, milk, and eggs (<xref ref-type="bibr" rid="B49">Notenbaert et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B62">Sun et&#xa0;al., 2024</xref>). Concurrently, rapid world population growth has further escalated food consumption, and animal-based food consumption in particular (<xref ref-type="bibr" rid="B53">Qaim et&#xa0;al., 2024</xref>). Nowadays, livestock products, including meat, milk, and eggs, contribute 15% and 31% of the global per capita calorie and protein supply, respectively (<xref ref-type="bibr" rid="B28">Godde et&#xa0;al., 2021</xref>), underscoring a growing global demand for high-quality forage production as livestock feed. There is likely to be an increasing emphasis on the role of forage legumes in producing high-quality meat and milk, combined with a reduction in environmental footprint (<xref ref-type="bibr" rid="B11">Boelt et&#xa0;al., 2015</xref>). Forage legumes are of vital importance to animal husbandry development, sustainable animal-based food production, and environmental protection (<xref ref-type="bibr" rid="B52">Phelan et&#xa0;al., 2015</xref>). Due to their high protein productivity, nitrogen fixation capacity, and adaptability to diverse marginal lands (<xref ref-type="bibr" rid="B65">Tao et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B59">Sollenberger and Kohmann, 2024</xref>), forage legumes perform well in livestock production and environmentally sustainable cropping systems (<xref ref-type="bibr" rid="B61">Stagnari et&#xa0;al., 2017</xref>). Under global climate change scenarios, incorporating forage legumes into grassland and agricultural systems is a highly recommended strategy to enhance crop diversity, thereby mitigating climate change (<xref ref-type="bibr" rid="B32">Jensen et&#xa0;al., 2012</xref>). However, poor establishment is a persistent problem associated with forage legumes, especially for small-seeded forage legume species (<xref ref-type="bibr" rid="B71">Wang et&#xa0;al., 2004</xref>). The effects of unfavorable weather conditions are arguably more critical during germination and early seedling growth stages than at any other stage of vegetative and reproductive growth. Seedling emergence and successful establishment are especially difficult to achieve for spring- or autumn-planted forage legumes due to frequently occurring erratic weather conditions, temperature fluctuations in particular, under global climate change (<xref ref-type="bibr" rid="B26">Gesch et&#xa0;al., 2023</xref>).</p>
<p>Seed germination and emergence are among the most important stages in the establishment of a plant species and the most sensitive stages in the plant life cycle to environmental conditions (<xref ref-type="bibr" rid="B81">Zhu et&#xa0;al., 2014</xref>). Rapid and uniform seed germination and emergence are of great importance for successful stand establishment, which ultimately improves forage yield and quality (<xref ref-type="bibr" rid="B66">Tao et&#xa0;al., 2024</xref>). Seed germination is a complex physiological process that is affected not only by seed properties but also by various environmental factors (<xref ref-type="bibr" rid="B7">Bakhshandeh et&#xa0;al., 2020</xref>). Among these environmental factors, temperature is one of the most crucial limiting factors for seed germination, dormancy, and plant establishment (<xref ref-type="bibr" rid="B78">Zhang et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B48">Nikoli&#x107; et&#xa0;al., 2023</xref>). Prolonged exposure to high temperatures can induce secondary dormancy in seeds (<xref ref-type="bibr" rid="B42">Martel et&#xa0;al., 2018</xref>). As a key environmental driver, temperature regulates enzyme activity and promotes or inhibits the synthesis of hormones that influence seed germination (<xref ref-type="bibr" rid="B58">Sharma et&#xa0;al., 2022</xref>). Therefore, temperature determines plant metabolism and developmental rates and has significant effects on the onset, percentage, and rate of germination (<xref ref-type="bibr" rid="B16">Chen et&#xa0;al., 2021</xref>). Appropriate temperature conditions for seed germination and seedling growth are critical factors in determining the optimum sowing date of a species (<xref ref-type="bibr" rid="B55">Russo et&#xa0;al., 2010</xref>). Moreover, the thermal requirements for germination and seedling growth are also pivotal indices for determining the suitability of a crop for cultivation in new areas (<xref ref-type="bibr" rid="B1">Adam et&#xa0;al., 2007</xref>). Thus, knowledge of seed germination responses to temperature is required not only for understanding the ecological adaptation of species but also for formulating effective strategies for sowing and restoration (<xref ref-type="bibr" rid="B16">Chen et&#xa0;al., 2021</xref>).</p>
<p>The impacts of temperature on germination can be expressed as three &#x201c;cardinal temperatures&#x201d; (<xref ref-type="bibr" rid="B4">Alvarado and Bradford, 2002</xref>; <xref ref-type="bibr" rid="B51">Parmoon et&#xa0;al., 2015</xref>). In general, the minimum, optimum, and maximum temperatures are known as cardinal temperatures and are used to characterize seed germination responses to temperature (<xref ref-type="bibr" rid="B6">Bakhshandeh et&#xa0;al., 2013</xref>), defining the thermal range within which germination can occur (<xref ref-type="bibr" rid="B2">Al-Ahmadi and Kafi, 2007</xref>). The minimum (or base, <italic>T<sub>b</sub></italic>) and maximum (or ceiling, <italic>T<sub>m</sub></italic>) temperatures are those below and above which germination does not occur, respectively, while germination is most rapid at the optimum temperature (<italic>T<sub>o</sub></italic>) (<xref ref-type="bibr" rid="B22">Eberle et&#xa0;al., 2014</xref>). In most plant species, cardinal temperatures for germination are roughly similar to those required for vegetative growth stages (<xref ref-type="bibr" rid="B60">Solouki et&#xa0;al., 2022</xref>). Nevertheless, some studies have reported that, in certain species, cardinal temperatures for germination differ from those governing root or stem growth (<xref ref-type="bibr" rid="B1">Adam et&#xa0;al., 2007</xref>).</p>
<p>Non-linear regression models have been successfully applied to describe germination cardinal temperatures for staple crops (<xref ref-type="bibr" rid="B3">Ali et&#xa0;al., 1994</xref>), oil crops (<xref ref-type="bibr" rid="B10">Bidgoly et&#xa0;al., 2018</xref>), medicinal plants (<xref ref-type="bibr" rid="B60">Solouki et&#xa0;al., 2022</xref>), weeds (<xref ref-type="bibr" rid="B40">Ma et&#xa0;al., 2021</xref>), and many other plant species. For instance, the intersected-lines model consists of two linear regressions: in the first line, germination rate increases up to the optimum temperature threshold, whereas in the second line, germination rate decreases in response to further temperature increases. Base and maximum temperatures are derived from the interception of each regression line with the abscissa (x-axis). In addition, the optimum temperature is identified as the intersection point of the two linear regression lines (<xref ref-type="bibr" rid="B24">Fallahi et&#xa0;al., 2015</xref>). Previously, <xref ref-type="bibr" rid="B79">Zhang et&#xa0;al. (2020)</xref> explored germination cardinal temperatures of seven <italic>Stipa</italic> species from different habitats using the intersected-lines model and reported that <italic>Stipa</italic> species from cool habitats had higher germination cardinal temperatures than those from warm habitats. In addition, other non-linear regression models, such as the quadratic polynomial, have also been widely used to determine germination cardinal temperatures (<xref ref-type="bibr" rid="B60">Solouki et&#xa0;al., 2022</xref>). In a previous study on the germination response of <italic>Alyssum linifolium</italic> to temperature, <italic>T<sub>b</sub></italic>, <italic>T<sub>o</sub></italic>, and <italic>T<sub>m</sub></italic> values calculated using a quadratic polynomial model were 3.3, 19.1, and 35.0&#xa0;&#xb0;C, respectively (<xref ref-type="bibr" rid="B45">Mobli et&#xa0;al., 2018</xref>).</p>
<p>Several studies have reported the effects of temperature on germination traits of forage legumes (<xref ref-type="bibr" rid="B12">Brar et&#xa0;al., 1991</xref>). <xref ref-type="bibr" rid="B13">Butler et&#xa0;al. (2014)</xref> determined the influence of temperature on germination percentage in seven annual warm-season and 11 annual cool-season forage legumes. <xref ref-type="bibr" rid="B9">Baxter et&#xa0;al. (2019)</xref> reported that the germination of crimson clover (<italic>Trifolium incarnatum</italic>), balansa clover (<italic>Trifolium michelianum</italic>), red clover (<italic>Trifolium pratense</italic>), and white clover (<italic>Trifolium repens</italic>) maintained values above 80% across a temperature range of 4.9&#x2013;28.2&#xa0;&#xb0;C on average. <xref ref-type="bibr" rid="B31">Iba&#xf1;ez and Passera (1997)</xref> reported that the optimum temperature for albaida (<italic>Anthyllis cytisoides</italic>) germination was 20&#xa0;&#xb0;C. For grain legume crops, the <italic>T<sub>b</sub></italic> values for pea (<italic>Pisum sativum</italic>) and bean (<italic>Phaseolus vulgaris</italic>) were &#x2212;1.1 and 5.1&#x2013;9.6&#xa0;&#xb0;C, respectively (<xref ref-type="bibr" rid="B54">Raveneau et&#xa0;al., 2011</xref>). Nevertheless, to the best of our knowledge, a comprehensive and systematic evaluation of germination cardinal temperatures and thermal ranges for important forage legumes remains scarce. Previously, <xref ref-type="bibr" rid="B21">D&#xfc;rr et&#xa0;al. (2015)</xref> developed a global seed trait database encompassing germination trait data for 243 species; however, within the forage legume category, only <italic>T<sub>b</sub></italic> values for alfalfa (<italic>Medicago sativa</italic>), red clover, and white clover were reported, with values of 2.9, 3.9, and 4.2&#xa0;&#xb0;C, respectively. This highlights the fragmentary nature of existing thermal trait records for this economically important group. In addition, <xref ref-type="bibr" rid="B56">Sakanoue (2010)</xref> employed the reciprocal of the time taken for 50% germination (1/T<sub>50</sub>) to calculate <italic>T<sub>b</sub></italic> for these three forage legumes, which differs from the approach used in the present study, where germination rate (GR) was applied as the dependent variable. Given the crucial roles of forage legumes in livestock production, sustainable cropping systems, and environmental protection, confirmatory testing is important for accurately quantifying germination thermal requirements and cardinal temperatures to select suitable cultivation regions and sowing periods. Moreover, to address current challenges during forage legume stand establishment, an improved understanding of germination biology&#x2014;particularly germination cardinal temperatures and thermal ranges&#x2014;is required. Quantifying <italic>T<sub>b</sub></italic>, <italic>T<sub>o</sub></italic>, and <italic>T<sub>m</sub></italic> provides a physiological framework for predicting safe sowing windows, thereby minimizing the risk of seedling mortality caused by frost or heat stress during emergence and early development (<xref ref-type="bibr" rid="B51">Parmoon et&#xa0;al., 2015</xref>). Furthermore, characterizing species-specific thermal niches enables more accurate matching between seed physiology and regional environmental conditions (<xref ref-type="bibr" rid="B20">Donohue et&#xa0;al., 2010</xref>). By integrating these biological parameters into cropping models, researchers and producers can better mitigate the impacts of erratic weather, ensuring more reliable establishment and long-term sustainability of cropping systems incorporating forage legumes (<xref ref-type="bibr" rid="B8">Basche et&#xa0;al., 2016</xref>).</p>
<p>The present research was conducted using seeds of ten important forage legumes: (i) to evaluate the impacts of different temperatures on germination characteristics, (ii) to calculate germination thermal requirements and cardinal temperatures using two commonly employed non-linear regression models, and (iii) to compare the performance of the two models in calculating cardinal temperatures. This extensive study should enhance our understanding of ecological adaptation in the tested forage legume species and offer valuable insights to researchers, agronomists, farmers, and government program directors for optimizing sowing and agronomic management practices, as well as for improving establishment and production efficiency. The data collected in this study also represent a valuable enrichment of global seed trait databases, enabling plant establishment to be better incorporated into modeling and simulation studies of forage legume biogeographical boundaries in response to shifting land use and climate.</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>Seeds of ten selected forage legumes used in this experiment</title>
<p>In the present experiment, ten important forage legume species were selected to evaluate the impacts of temperature on germination performance and to calculate their germination cardinal temperatures. These species included alfalfa, yellow medick (<italic>Medicago falcata</italic>), common vetch (<italic>Vicia sativa</italic>), hairy vetch (<italic>Vicia villosa</italic>), red clover, white clover, erect milkvetch (<italic>Astragalus adsurgens</italic>), Chinese milkvetch (<italic>Astragalus sinicus</italic>), Niuzhizi (<italic>Lespedeza potaninii</italic>), and sweet clover (<italic>Melilotus officinalis</italic>). These species were chosen due to their widespread utilization in China and globally, where they play important roles in forage production, livestock development, nitrogen fixation, soil improvement, sustainable cropping systems, water and soil conservation, urban landscaping, ecological restoration, industrial applications, and other sectors. Seeds of the ten species used in this study were obtained from commercially available sources. Additional details, including thousand seed weight (TSW), seed moisture content (SMC), standard germination (SG), and hard seed (HS), are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. Seed moisture content was calculated on the basis of seed fresh weight.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Information of ten selected forage legume seeds applied in this experiment.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Species</th>
<th valign="middle" align="center">Common name</th>
<th valign="middle" align="center">Cultivar or variety</th>
<th valign="middle" align="center">TSW (g)</th>
<th valign="middle" align="center">SMC (%)</th>
<th valign="middle" align="center">SG (%)</th>
<th valign="middle" align="center">HS (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center"><italic>Medicago sativa</italic></td>
<td valign="middle" align="center">Alfalfa</td>
<td valign="middle" align="center">Zhongmu No.3</td>
<td valign="middle" align="center">2.141</td>
<td valign="middle" align="center">9.12</td>
<td valign="middle" align="center">93.0</td>
<td valign="middle" align="center">1.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Medicago falcata</italic></td>
<td valign="middle" align="center">Yellow medick</td>
<td valign="middle" align="center">Normal</td>
<td valign="middle" align="center">1.474</td>
<td valign="middle" align="center">10.41</td>
<td valign="middle" align="center">93.0</td>
<td valign="middle" align="center">3.5</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Vicia sativa</italic></td>
<td valign="middle" align="center">Common vetch</td>
<td valign="middle" align="center">Lanjian No.1</td>
<td valign="middle" align="center">54.274</td>
<td valign="middle" align="center">8.95</td>
<td valign="middle" align="center">97.5</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Vicia villosa</italic></td>
<td valign="middle" align="center">Hairy vetch</td>
<td valign="middle" align="center">Normal</td>
<td valign="middle" align="center">36.443</td>
<td valign="middle" align="center">9.31</td>
<td valign="middle" align="center">96.5</td>
<td valign="middle" align="center">0.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Trifolium pratense</italic></td>
<td valign="middle" align="center">Red clover</td>
<td valign="middle" align="center">Honglong</td>
<td valign="middle" align="center">1.751</td>
<td valign="middle" align="center">8.31</td>
<td valign="middle" align="center">84.5</td>
<td valign="middle" align="center">5.5</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Trifolium repens</italic></td>
<td valign="middle" align="center">White clover</td>
<td valign="middle" align="center">Haifa</td>
<td valign="middle" align="center">0.552</td>
<td valign="middle" align="center">8.69</td>
<td valign="middle" align="center">82.5</td>
<td valign="middle" align="center">4.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Astragalus adsurgens</italic></td>
<td valign="middle" align="center">Erect milkvetch</td>
<td valign="middle" align="center">Normal</td>
<td valign="middle" align="center">1.647</td>
<td valign="middle" align="center">7.03</td>
<td valign="middle" align="center">87.5</td>
<td valign="middle" align="center">4.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Astragalus sinicus</italic></td>
<td valign="middle" align="center">Chinese milkvetch</td>
<td valign="middle" align="center">Yujiangdaye</td>
<td valign="middle" align="center">3.494</td>
<td valign="middle" align="center">9.10</td>
<td valign="middle" align="center">92.5</td>
<td valign="middle" align="center">2.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Lespedeza potaninii</italic></td>
<td valign="middle" align="center">Niuzhizi</td>
<td valign="middle" align="center">Tenggeli</td>
<td valign="middle" align="center">2.268</td>
<td valign="middle" align="center">10.27</td>
<td valign="middle" align="center">72.5</td>
<td valign="middle" align="center">9.0</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>Melilotus officinalis</italic></td>
<td valign="middle" align="center">Sweet clover</td>
<td valign="middle" align="center">Normal</td>
<td valign="middle" align="center">2.256</td>
<td valign="middle" align="center">10.05</td>
<td valign="middle" align="center">95.5</td>
<td valign="middle" align="center">2.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2018;Normal&#x2019; in the cultivar or variety name reflects that there is no specific cultivar or variety for this species. TSW, thousand seed weight; SMC, seed moisture content; SG, standard germination; HS, hard seed. The SMC was calculated on basis of seed fresh weight.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Experimental design</title>
<p>To determine the effects of temperature on seed germination, an experiment was conducted in the Forage Seed Laboratory of Qingdao Agricultural University, China (36&#xb0;19&#x2032;N, 120&#xb0;23&#x2032;E), from November to December 2024. Ten constant temperature levels (i.e., 0, 5, 10, 15, 20, 25, 30, 35, 40, and 45&#xa0;&#xb0;C) were applied using a completely randomized design with four replications for each species. Prior to the germination assays, seeds of the ten forage legumes were surface-sterilized in 1% sodium hypochlorite (NaClO) for 10&#xa0;min and then rinsed several times with distilled water. For each replication, 50 seeds were sown in 120&#xa0;mm &#xd7; 120&#xa0;mm Petri dishes on top of two layers of filter paper moistened with 10 mL distilled water. The Petri dishes were then sealed with parafilm to minimize moisture loss. Germination tests were performed in growth chambers (GXZ-380, Jiangnan, Ningbo, China) under the respective constant temperatures and set to a 12-h alternating light/dark cycle. Seeds were considered germinated when the radicle attained a length of 2&#xa0;mm (<xref ref-type="bibr" rid="B35">Kamkar et&#xa0;al., 2012</xref>), and germinated seeds were counted daily for 28 days.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Calculation of germination parameters</title>
<p>The following seed germination parameters were calculated to describe the response of germination to temperature treatments more comprehensively.</p>
<p>The time to start germination (TSG) was recorded during the germination experiment (<xref ref-type="bibr" rid="B25">Farooq et&#xa0;al., 2005</xref>).</p>
<p>At the end of the germination period, germination percentage (GP) was determined as the total number of seeds germinated divided by the total number of seeds (50) in each replication. The formula provided by <xref ref-type="bibr" rid="B73">Xiong et&#xa0;al. (2018)</xref> was applied to calculate the germination index (GI):</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mtext>GI</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:mrow><mml:mn>1</mml:mn></mml:mfrac><mml:mo>+</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow><mml:mn>2</mml:mn></mml:mfrac><mml:mo>+</mml:mo><mml:mo>&#xb7;</mml:mo><mml:mo>&#xb7;</mml:mo><mml:mo>&#xb7;</mml:mo><mml:mo>&#xb7;</mml:mo><mml:mo>&#xb7;</mml:mo><mml:mo>&#xb7;</mml:mo><mml:mo>+</mml:mo><mml:mfrac><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mi>i</mml:mi></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>n<sub>1</sub></italic>, <italic>n<sub>2</sub></italic>,&#x2026;&#x2026;, <italic>n<sub>i</sub></italic> is the number of seeds newly germinated or emerged on day <italic>1</italic>, <italic>2</italic>,&#x2026;&#x2026;, <italic>i</italic>.</p>
<p>The GR was calculated with the formula described by <xref ref-type="bibr" rid="B23">Fallahi et&#xa0;al. (2017)</xref>:</p>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:mi>G</mml:mi><mml:mi>R</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>d</mml:mi><mml:mi>a</mml:mi><mml:msup><mml:mi>y</mml:mi><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:mtext>&#xa0;</mml:mtext><mml:munderover><mml:mo>&#x2211;</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:munderover><mml:mfrac><mml:mrow><mml:mi>S</mml:mi><mml:mi>i</mml:mi></mml:mrow><mml:mrow><mml:mi>D</mml:mi><mml:mi>i</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>Si</italic> is the daily seed germination, <italic>Di</italic> is the number of days to <italic>n</italic> computation and <italic>n</italic> is the number of days to computation.</p>
<p>The T<sub>50</sub>, which also gave an estimate of germination speed, was determined according to the following formula of <xref ref-type="bibr" rid="B75">Yang et&#xa0;al. (2012)</xref>:</p>
<disp-formula>
<mml:math display="block" id="M3"><mml:mrow><mml:msub><mml:mtext>T</mml:mtext><mml:mrow><mml:mn>50</mml:mn></mml:mrow></mml:msub><mml:mo>&#xa0;</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>days</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mfrac><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mfrac><mml:mi>N</mml:mi><mml:mn>2</mml:mn></mml:mfrac><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi>n</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mi>t</mml:mi><mml:mi>j</mml:mi></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi>t</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi>j</mml:mi></mml:msub><mml:mo>&#x2212;</mml:mo><mml:msub><mml:mi>n</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>N</italic> is the final number of germination and <italic>n<sub>i</sub></italic> and <italic>n<sub>j</sub></italic> the cumulative number of seeds germinated by adjacent counts at time <italic>t<sub>i</sub></italic> and <italic>t<sub>j</sub></italic> when <italic>n<sub>i</sub></italic>&lt; <italic>N/2</italic>&lt; <italic>n<sub>j</sub></italic>.</p>
<p>The mean germination time (MGT) was calculated with the formula described by <xref ref-type="bibr" rid="B64">Tao et&#xa0;al. (2018)</xref>:</p>
<disp-formula>
<mml:math display="block" id="M4"><mml:mrow><mml:mtext>MGT&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>days</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mtext>&#x3a3;</mml:mtext><mml:mi>D</mml:mi><mml:mi>n</mml:mi></mml:mrow><mml:mrow><mml:mtext>&#x3a3;</mml:mtext><mml:mi>n</mml:mi></mml:mrow></mml:mfrac></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>n</italic> represents the number of seeds newly germinated on day <italic>D</italic>, and <italic>D</italic> is the number of days counted since the initiation of the germination experiment.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Germination cardinal temperatures</title>
<p>To calculate the cardinal temperatures of the ten selected forage legumes, the relationship between germination rate (GR) and temperature was analyzed, with temperature considered the independent variable (x-axis) and GR the dependent variable (y-axis) (<xref ref-type="bibr" rid="B60">Solouki et&#xa0;al., 2022</xref>). In the present research, two commonly used non-linear regression models&#x2014;namely, the intersected-lines and quadratic polynomial models&#x2014;were employed (<xref ref-type="bibr" rid="B24">Fallahi et&#xa0;al., 2015</xref>).</p>
<p>The intersected-lines model is expressed as:</p>
<disp-formula>
<mml:math display="block" id="M5"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn>1</mml:mn></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>b</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi>T</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#x2013;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>T</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#xa0;&#xa0;&#xa0;&#xa0;</mml:mtext><mml:mi>i</mml:mi><mml:mi>f</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mi>T</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#x2264;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>T</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow></mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M6"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>c</mml:mi><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi>m</mml:mi></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#x2013;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>T</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#xa0;&#xa0;&#xa0;&#xa0;</mml:mtext><mml:mi>i</mml:mi><mml:mi>f</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mi>T</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#x2265;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>T</mml:mi><mml:mi>o</mml:mi></mml:msub></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>T</italic> is temperature treatment; <italic>T<sub>b</sub></italic>, <italic>T<sub>o</sub></italic>, and <italic>T<sub>m</sub></italic> are base, optimum, and maximum temperatures, respectively; <italic>b</italic> and <italic>c</italic> are model parameters.</p>
<p>The quadratic polynomial model is as follows:</p>
<disp-formula>
<mml:math display="block" id="M7"><mml:mrow><mml:mi>f</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mi>T</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>a</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>+</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>b</mml:mi><mml:mi>T</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>+</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>c</mml:mi><mml:msup><mml:mi>T</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M8"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi>o</mml:mi></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mi>b</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>+</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mn>2</mml:mn><mml:mi>c</mml:mi><mml:mi>T</mml:mi></mml:mrow></mml:math>
</disp-formula>
<p>where <italic>f(T)</italic> is GR; <italic>T</italic> is temperature treatment; <italic>a</italic>, <italic>b</italic>, and <italic>c</italic> are model parameters.</p>
<p>The performance of each model was evaluated using the coefficient of determination (<italic>R&#xb2;</italic>) and the root mean square of error (RMSE). Lower RMSE values and <italic>R&#xb2;</italic> values closer to 1 indicate better model performance (<xref ref-type="bibr" rid="B23">Fallahi et&#xa0;al., 2017</xref>).</p>
<disp-formula>
<mml:math display="block" id="M9"><mml:mrow><mml:mi>R</mml:mi><mml:mi>M</mml:mi><mml:mi>S</mml:mi><mml:mi>E</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msqrt><mml:mrow><mml:mfrac><mml:mrow><mml:msubsup><mml:mo>&#x2211;</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:mn>1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:msubsup><mml:msup><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:msub><mml:mi>O</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#x2212;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>S</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mn>2</mml:mn></mml:msup></mml:mrow><mml:mi>n</mml:mi></mml:mfrac></mml:mrow></mml:msqrt></mml:mrow></mml:math>
</disp-formula>
<p>In this context, RMSE represents the root mean square of error, <italic>n</italic> is the number of samples, <italic>O</italic><sub>i</sub> denotes the observed values, and <italic>S</italic><sub>i</sub> denotes the predicted values.</p>
<p>Additionally, the temperature difference between <italic>T<sub>b</sub></italic> and <italic>T<sub>m</sub></italic> was defined as the thermal range. This index represents the germination ecological range of a plant species (<xref ref-type="bibr" rid="B60">Solouki et&#xa0;al., 2022</xref>).</p>
<disp-formula>
<mml:math display="block" id="M10"><mml:mrow><mml:mi>T</mml:mi><mml:mi>h</mml:mi><mml:mi>e</mml:mi><mml:mi>r</mml:mi><mml:mi>m</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mi>r</mml:mi><mml:mi>a</mml:mi><mml:mi>n</mml:mi><mml:mi>g</mml:mi><mml:mi>e</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mo>&#xb0;</mml:mo><mml:mi>C</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mtext>&#xa0;</mml:mtext><mml:mo>=</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>T</mml:mi><mml:mi>m</mml:mi></mml:msub><mml:mtext>&#xa0;</mml:mtext><mml:mo>&#x2013;</mml:mo><mml:mtext>&#xa0;</mml:mtext><mml:msub><mml:mi>T</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow></mml:math>
</disp-formula>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>All data analyses were performed using GenStat for Windows, 18th Edition (VSN International Ltd., Hemel Hempstead, UK). One-way analysis of variance (ANOVA) was conducted to assess the effects of temperature on germination percentage (GP) and related germination parameters within each species. Proportional data were arcsine-transformed prior to statistical analysis to meet the assumption of normality (<xref ref-type="bibr" rid="B63">Tang et&#xa0;al., 2024</xref>), whereas non-transformed data are presented in all tables and figures. All values reported are means of four replications. Significant differences among temperature treatments were determined using Duncan&#x2019;s multiple range test at the <italic>P</italic>&#xa0;&lt;&#xa0;0.05 probability level. Pearson correlation analysis was conducted to examine relationships among germination cardinal temperatures, thermal range, and germination parameters across the ten forage legume species, using mean germination parameter values averaged across all temperature treatments within each species.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Effects of different temperatures on GP of ten forage legumes</title>
<p>Analysis of variance revealed that GP of the ten forage legumes was significantly affected by temperature (<italic>P</italic>&#xa0;&lt;&#xa0;0.001) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). In general, GP increased as germination temperature approached the optimum and subsequently declined with further temperature increases (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Most tested species exhibited optimal GP within the 15&#x2013;25&#xb0;C range. For five species&#x2014;alfalfa, hairy vetch, red clover, erect milkvetch, and sweet clover&#x2014;the highest GP values were observed at 20&#xb0;C. The highest GP for white clover, Chinese milkvetch, and Niuzhizi occurred at 25&#xb0;C, whereas common vetch and yellow medick achieved their highest GP at 10 and 15&#xb0;C, respectively (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). All tested forage legumes were capable of germination at 0&#xb0;C, except for Chinese milkvetch, Niuzhizi, and sweet clover, which showed no germination at this temperature. Only white clover and Niuzhizi maintained limited germination at 45&#xb0;C (8.0% and 14.0%, respectively), whereas the remaining species failed to germinate (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Analysis of variance for temperature effects on seed germination percentage and related germination parameters of ten forage legumes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Species</th>
<th valign="top" align="center">Germination indicators</th>
<th valign="top" align="center"><italic>df</italic></th>
<th valign="top" align="center">Mean square</th>
<th valign="top" align="center"><italic>F</italic></th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="center">Alfalfa (<italic>Medicago sativa</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">3166.044</td>
<td valign="middle" align="center">164.898</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">24.944</td>
<td valign="middle" align="center">898.000</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">794.138</td>
<td valign="middle" align="center">214.045</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">58.457</td>
<td valign="middle" align="center">18.723</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">30.558</td>
<td valign="middle" align="center">2352.624</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">34.795</td>
<td valign="middle" align="center">636.123</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Yellow medick (<italic>Medicago falcata</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">3648.711</td>
<td valign="middle" align="center">195.467</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">31.028</td>
<td valign="middle" align="center">124.111</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">266.508</td>
<td valign="middle" align="center">188.527</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">12.831</td>
<td valign="middle" align="center">151.884</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">37.888</td>
<td valign="middle" align="center">80.983</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">38.976</td>
<td valign="middle" align="center">76.016</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Common vetch (<italic>Vicia sativa</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">6435.822</td>
<td valign="middle" align="center">1026.993</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">25.424</td>
<td valign="middle" align="center">221.883</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">592.253</td>
<td valign="middle" align="center">423.756</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">108.354</td>
<td valign="middle" align="center">45.733</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">36.433</td>
<td valign="middle" align="center">633.134</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">53.722</td>
<td valign="middle" align="center">483.136</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Hairy vetch (<italic>Vicia villosa</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">6930.989</td>
<td valign="middle" align="center">326.420</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">38.567</td>
<td valign="middle" align="center">176.306</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">406.182</td>
<td valign="middle" align="center">496.951</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">60.856</td>
<td valign="middle" align="center">24.178</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">68.626</td>
<td valign="middle" align="center">343.013</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">81.245</td>
<td valign="middle" align="center">534.439</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Red clover (<italic>Trifolium pratense</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">3758.767</td>
<td valign="middle" align="center">125.432</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">79.819</td>
<td valign="middle" align="center">82.889</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">294.127</td>
<td valign="middle" align="center">157.283</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">22.687</td>
<td valign="middle" align="center">37.793</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">119.389</td>
<td valign="middle" align="center">70.184</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">108.900</td>
<td valign="middle" align="center">69.511</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">White clover (<italic>Trifolium repens</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">3736.767</td>
<td valign="middle" align="center">135.227</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">52.278</td>
<td valign="middle" align="center">74.683</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">536.039</td>
<td valign="middle" align="center">123.017</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">37.939</td>
<td valign="middle" align="center">43.538</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">82.391</td>
<td valign="middle" align="center">155.114</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">90.605</td>
<td valign="middle" align="center">261.773</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Erect milkvetch (<italic>Astragalus adsurgens</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">3950.933</td>
<td valign="middle" align="center">122.700</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">35.278</td>
<td valign="middle" align="center">63.500</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">159.748</td>
<td valign="middle" align="center">117.671</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">22.350</td>
<td valign="middle" align="center">27.550</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">68.492</td>
<td valign="middle" align="center">193.589</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">64.729</td>
<td valign="middle" align="center">158.958</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Chinese milkvetch (<italic>Astragalus sinicus</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">5248.267</td>
<td valign="middle" align="center">228.186</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">50.496</td>
<td valign="middle" align="center">210.764</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">127.594</td>
<td valign="middle" align="center">133.190</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">10.039</td>
<td valign="middle" align="center">69.614</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">70.936</td>
<td valign="middle" align="center">45.998</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">72.233</td>
<td valign="middle" align="center">59.014</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Niuzhizi (<italic>Lespedeza potaninii</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">2540.667</td>
<td valign="middle" align="center">98.475</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">128.882</td>
<td valign="middle" align="center">49.359</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">236.980</td>
<td valign="middle" align="center">207.326</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">27.969</td>
<td valign="middle" align="center">36.463</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">157.749</td>
<td valign="middle" align="center">94.200</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">153.778</td>
<td valign="middle" align="center">83.978</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Sweet clover (<italic>Melilotus officinalis</italic>)</td>
<td valign="middle" align="center">GP</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">6931.156</td>
<td valign="middle" align="center">386.496</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">TSG</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">14.786</td>
<td valign="middle" align="center">44.357</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GI</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">174.711</td>
<td valign="middle" align="center">97.430</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">GR</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">11.812</td>
<td valign="middle" align="center">173.894</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">T<sub>50</sub></td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">35.114</td>
<td valign="middle" align="center">22.839</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="center">MGT</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">35.411</td>
<td valign="middle" align="center">39.753</td>
<td valign="middle" align="center">&lt; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>df</italic>, degree of freedom; GP, germination percentage; TSG, time to start germination; GI, germination index; GR, germination rate; T<sub>50</sub>, time taken for 50% germination; MGT, mean germination time.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Germination percentage (GP) of ten forage legumes as affected by temperature treatments. Different lowercase letters within a species indicate significant differences among different temperature treatments at the <italic>P</italic>&#xa0;&lt;&#xa0;0.05 probability level according to Duncan&#x2019;s multiple range test. <bold>(a)</bold> alfalfa (<italic>Medicago sativa</italic>); <bold>(b)</bold> Yellow medick (<italic>Medicago falcata</italic>); <bold>(c)</bold> common vetch (<italic>Vicia sativa</italic>); <bold>(d)</bold> hairy vetch (<italic>Vicia villosa</italic>); <bold>(e)</bold> red clover (<italic>Trifolium pratense</italic>); <bold>(f)</bold> white clover (<italic>Trifolium repens</italic>); <bold>(g)</bold> erect milkvetch (<italic>Astragalus adsurgens</italic>); <bold>(h)</bold> Chinese milkvetch (<italic>Astragalus sinicus</italic>); <bold>(i)</bold> Niuzhizi (<italic>Lespedeza potaninii</italic>); <bold>(j)</bold>: sweet clover (<italic>Melilotus officinalis</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1754589-g001.tif">
<alt-text content-type="machine-generated">Bar graphs labeled (a) to (j) show germination percentage versus temperature, ranging from 0 to 45 degrees Celsius. Each graph depicts a varying optimal temperature for maximum germination, with error bars indicating variability. Different letters above bars indicate statistical differences. Germination generally peaks between 15 to 30 degrees Celsius, with significant drops at 0, 40, and 45 degrees.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Effects of different temperatures on related germination parameters of ten forage legumes</title>
<p>The ANOVA results showed that temperature significantly affected all measured germination parameters at the <italic>P</italic>&#xa0;&lt;&#xa0;0.001 level (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). Germination timing and speed parameters exhibited distinct response patterns across the temperature gradient (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Germination duration parameters, including TSG, T<sub>50</sub>, and MGT, followed a U-shaped trend, decreasing sharply as temperature increased from 0&#xa0;&#xb0;C toward the optimum range&#x2014;reflecting thermal acceleration of metabolic processes&#x2014;and increasing again beyond the optimum. For example, in alfalfa, T<sub>50</sub> decreased from 9.01 days at 0&#xa0;&#xb0;C to 0.71 days at 25&#xa0;&#xb0;C and then increased to 1.61 days at 40&#xa0;&#xb0;C, with no germination occurring at 45&#xa0;&#xb0;C (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). In addition, the first seed of all tested species germinated on day 1 at optimum temperature ranges, except for erect milkvetch, which exhibited a delayed onset of germination compared with the other species.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Effects of different temperature treatments on germination traits of ten forage legumes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Species</th>
<th valign="middle" align="center">Temperature (&#xb0;C)</th>
<th valign="middle" align="center">TSG (days)</th>
<th valign="middle" align="center">GI</th>
<th valign="middle" align="center">GR (day<sup>-1</sup>)</th>
<th valign="middle" align="center">T<sub>50</sub> (days)</th>
<th valign="middle" align="center">MGT (days)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="10" align="center">Alfalfa (<italic>Medicago sativa</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">8.25a</td>
<td valign="middle" align="center">2.54g</td>
<td valign="middle" align="center">1.23de</td>
<td valign="middle" align="center">9.01a</td>
<td valign="middle" align="center">10.29a</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">4.00b</td>
<td valign="middle" align="center">6.11f</td>
<td valign="middle" align="center">2.90d</td>
<td valign="middle" align="center">4.87b</td>
<td valign="middle" align="center">5.94b</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">15.47e</td>
<td valign="middle" align="center">5.79c</td>
<td valign="middle" align="center">2.42c</td>
<td valign="middle" align="center">3.11c</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">24.48d</td>
<td valign="middle" align="center">8.25bc</td>
<td valign="middle" align="center">1.52d</td>
<td valign="middle" align="center">2.25d</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">36.43a</td>
<td valign="middle" align="center">8.85b</td>
<td valign="middle" align="center">0.79f</td>
<td valign="middle" align="center">1.73e</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">38.39a</td>
<td valign="middle" align="center">11.74a</td>
<td valign="middle" align="center">0.71f</td>
<td valign="middle" align="center">1.45e</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">32.29b</td>
<td valign="middle" align="center">9.83ab</td>
<td valign="middle" align="center">0.73f</td>
<td valign="middle" align="center">1.46e</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">28.28c</td>
<td valign="middle" align="center">7.61bc</td>
<td valign="middle" align="center">1.05e</td>
<td valign="middle" align="center">1.74e</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">15.41e</td>
<td valign="middle" align="center">5.75c</td>
<td valign="middle" align="center">1.61d</td>
<td valign="middle" align="center">2.34d</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00g</td>
<td valign="middle" align="center">0.00e</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Yellow medick (<italic>Medicago falcata</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">7.25a</td>
<td valign="middle" align="center">2.86e</td>
<td valign="middle" align="center">1.56cd</td>
<td valign="middle" align="center">8.73b</td>
<td valign="middle" align="center">10.61ab</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">3.25c</td>
<td valign="middle" align="center">5.65d</td>
<td valign="middle" align="center">3.07b</td>
<td valign="middle" align="center">7.46cd</td>
<td valign="middle" align="center">7.94c</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">16.45c</td>
<td valign="middle" align="center">5.17a</td>
<td valign="middle" align="center">2.69e</td>
<td valign="middle" align="center">3.60d</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">21.58a</td>
<td valign="middle" align="center">5.50a</td>
<td valign="middle" align="center">2.60e</td>
<td valign="middle" align="center">3.92d</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">19.23b</td>
<td valign="middle" align="center">3.36b</td>
<td valign="middle" align="center">3.04e</td>
<td valign="middle" align="center">4.24d</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">15.04c</td>
<td valign="middle" align="center">3.44b</td>
<td valign="middle" align="center">3.18e</td>
<td valign="middle" align="center">4.29d</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">2.75c</td>
<td valign="middle" align="center">4.73d</td>
<td valign="middle" align="center">1.77c</td>
<td valign="middle" align="center">6.96d</td>
<td valign="middle" align="center">8.23c</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">6.25b</td>
<td valign="middle" align="center">2.36e</td>
<td valign="middle" align="center">1.30de</td>
<td valign="middle" align="center">8.36bc</td>
<td valign="middle" align="center">9.67b</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">7.50a</td>
<td valign="middle" align="center">1.74e</td>
<td valign="middle" align="center">1.12e</td>
<td valign="middle" align="center">10.53a</td>
<td valign="middle" align="center">11.41a</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Common vetch (<italic>Vicia sativa</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">7.25a</td>
<td valign="middle" align="center">3.72f</td>
<td valign="middle" align="center">1.74cd</td>
<td valign="middle" align="center">9.43a</td>
<td valign="middle" align="center">11.89a</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">6.50b</td>
<td valign="middle" align="center">6.15e</td>
<td valign="middle" align="center">2.62bc</td>
<td valign="middle" align="center">6.89b</td>
<td valign="middle" align="center">8.37b</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">2.50c</td>
<td valign="middle" align="center">13.48d</td>
<td valign="middle" align="center">3.72bc</td>
<td valign="middle" align="center">3.08c</td>
<td valign="middle" align="center">4.14c</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">2.00d</td>
<td valign="middle" align="center">22.77c</td>
<td valign="middle" align="center">10.39a</td>
<td valign="middle" align="center">1.62d</td>
<td valign="middle" align="center">2.26d</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00e</td>
<td valign="middle" align="center">23.09c</td>
<td valign="middle" align="center">12.68a</td>
<td valign="middle" align="center">1.66d</td>
<td valign="middle" align="center">2.30d</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00e</td>
<td valign="middle" align="center">29.43b</td>
<td valign="middle" align="center">12.58a</td>
<td valign="middle" align="center">1.40de</td>
<td valign="middle" align="center">1.90de</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.00e</td>
<td valign="middle" align="center">33.43a</td>
<td valign="middle" align="center">11.34a</td>
<td valign="middle" align="center">1.12e</td>
<td valign="middle" align="center">1.73e</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">2.00d</td>
<td valign="middle" align="center">13.06d</td>
<td valign="middle" align="center">4.79b</td>
<td valign="middle" align="center">3.40c</td>
<td valign="middle" align="center">4.33c</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00g</td>
<td valign="middle" align="center">0.00d</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00g</td>
<td valign="middle" align="center">0.00d</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Hairy vetch (<italic>Vicia villosa</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">10.00a</td>
<td valign="middle" align="center">1.58g</td>
<td valign="middle" align="center">0.96e</td>
<td valign="middle" align="center">13.38a</td>
<td valign="middle" align="center">14.87a</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">6.00b</td>
<td valign="middle" align="center">5.32e</td>
<td valign="middle" align="center">2.26de</td>
<td valign="middle" align="center">7.63b</td>
<td valign="middle" align="center">9.17b</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">2.50c</td>
<td valign="middle" align="center">10.36d</td>
<td valign="middle" align="center">4.48d</td>
<td valign="middle" align="center">3.90c</td>
<td valign="middle" align="center">4.79c</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">2.00cd</td>
<td valign="middle" align="center">18.68c</td>
<td valign="middle" align="center">7.35c</td>
<td valign="middle" align="center">2.17d</td>
<td valign="middle" align="center">2.80e</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.75de</td>
<td valign="middle" align="center">21.58b</td>
<td valign="middle" align="center">9.74ab</td>
<td valign="middle" align="center">1.72d</td>
<td valign="middle" align="center">2.37ef</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00f</td>
<td valign="middle" align="center">24.86a</td>
<td valign="middle" align="center">9.90a</td>
<td valign="middle" align="center">1.52d</td>
<td valign="middle" align="center">2.16f</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.25ef</td>
<td valign="middle" align="center">22.13b</td>
<td valign="middle" align="center">7.33b</td>
<td valign="middle" align="center">1.60d</td>
<td valign="middle" align="center">2.29ef</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">2.25cd</td>
<td valign="middle" align="center">3.00f</td>
<td valign="middle" align="center">2.00e</td>
<td valign="middle" align="center">3.61c</td>
<td valign="middle" align="center">4.07d</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00h</td>
<td valign="middle" align="center">0.00e</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00h</td>
<td valign="middle" align="center">0.00e</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Red clover (<italic>Trifolium pratense</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">14.25a</td>
<td valign="middle" align="center">0.09g</td>
<td valign="middle" align="center">0.08e</td>
<td valign="middle" align="center">15.63a</td>
<td valign="middle" align="center">16.13a</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">7.25b</td>
<td valign="middle" align="center">1.23fg</td>
<td valign="middle" align="center">0.73e</td>
<td valign="middle" align="center">14.33a</td>
<td valign="middle" align="center">14.60a</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">3.25c</td>
<td valign="middle" align="center">3.21ef</td>
<td valign="middle" align="center">1.21cde</td>
<td valign="middle" align="center">6.71b</td>
<td valign="middle" align="center">8.09b</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.50d</td>
<td valign="middle" align="center">8.81d</td>
<td valign="middle" align="center">2.37c</td>
<td valign="middle" align="center">3.41c</td>
<td valign="middle" align="center">4.91c</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">19.92b</td>
<td valign="middle" align="center">4.62b</td>
<td valign="middle" align="center">2.30c</td>
<td valign="middle" align="center">3.33cd</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">23.26a</td>
<td valign="middle" align="center">7.53a</td>
<td valign="middle" align="center">1.60c</td>
<td valign="middle" align="center">2.53d</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">15.05c</td>
<td valign="middle" align="center">3.89b</td>
<td valign="middle" align="center">1.92c</td>
<td valign="middle" align="center">3.09cd</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">4.98e</td>
<td valign="middle" align="center">2.04cd</td>
<td valign="middle" align="center">2.96c</td>
<td valign="middle" align="center">3.70cd</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">2.00cd</td>
<td valign="middle" align="center">2.34f</td>
<td valign="middle" align="center">0.94de</td>
<td valign="middle" align="center">2.65c</td>
<td valign="middle" align="center">3.44cd</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00g</td>
<td valign="middle" align="center">0.00e</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">White clover (<italic>Trifolium repens</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">12.25a</td>
<td valign="middle" align="center">0.18d</td>
<td valign="middle" align="center">0.13f</td>
<td valign="middle" align="center">14.63a</td>
<td valign="middle" align="center">15.66a</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">6.25b</td>
<td valign="middle" align="center">3.10d</td>
<td valign="middle" align="center">1.46f</td>
<td valign="middle" align="center">9.25b</td>
<td valign="middle" align="center">11.27b</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">3.50c</td>
<td valign="middle" align="center">8.54c</td>
<td valign="middle" align="center">2.92e</td>
<td valign="middle" align="center">3.91d</td>
<td valign="middle" align="center">5.04d</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.50d</td>
<td valign="middle" align="center">20.07b</td>
<td valign="middle" align="center">4.61d</td>
<td valign="middle" align="center">1.70e</td>
<td valign="middle" align="center">2.45e</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">22.79b</td>
<td valign="middle" align="center">7.57b</td>
<td valign="middle" align="center">1.55e</td>
<td valign="middle" align="center">2.11e</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">28.99a</td>
<td valign="middle" align="center">8.95a</td>
<td valign="middle" align="center">1.31e</td>
<td valign="middle" align="center">1.88e</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">30.19a</td>
<td valign="middle" align="center">6.75bc</td>
<td valign="middle" align="center">0.84e</td>
<td valign="middle" align="center">1.76e</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">22.72b</td>
<td valign="middle" align="center">5.79cd</td>
<td valign="middle" align="center">1.04e</td>
<td valign="middle" align="center">2.19e</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">10.10c</td>
<td valign="middle" align="center">2.95e</td>
<td valign="middle" align="center">4.29d</td>
<td valign="middle" align="center">4.64d</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">3.75c</td>
<td valign="middle" align="center">0.60d</td>
<td valign="middle" align="center">0.31f</td>
<td valign="middle" align="center">7.31c</td>
<td valign="middle" align="center">8.26c</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Erect milkvetch (<italic>Astragalus adsurgens</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">9.50a</td>
<td valign="middle" align="center">0.33f</td>
<td valign="middle" align="center">0.23ef</td>
<td valign="middle" align="center">13.00a</td>
<td valign="middle" align="center">13.63a</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">7.00b</td>
<td valign="middle" align="center">2.16e</td>
<td valign="middle" align="center">1.41de</td>
<td valign="middle" align="center">10.99b</td>
<td valign="middle" align="center">11.43b</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">3.50c</td>
<td valign="middle" align="center">5.51d</td>
<td valign="middle" align="center">2.67cd</td>
<td valign="middle" align="center">5.67c</td>
<td valign="middle" align="center">6.69c</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">14.19b</td>
<td valign="middle" align="center">3.84bc</td>
<td valign="middle" align="center">2.51d</td>
<td valign="middle" align="center">3.48d</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.75d</td>
<td valign="middle" align="center">13.94b</td>
<td valign="middle" align="center">5.97a</td>
<td valign="middle" align="center">2.72d</td>
<td valign="middle" align="center">3.52d</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">16.12a</td>
<td valign="middle" align="center">5.75a</td>
<td valign="middle" align="center">2.00d</td>
<td valign="middle" align="center">2.97d</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">14.20b</td>
<td valign="middle" align="center">6.66a</td>
<td valign="middle" align="center">2.77d</td>
<td valign="middle" align="center">3.43d</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">2.00d</td>
<td valign="middle" align="center">10.47c</td>
<td valign="middle" align="center">4.30b</td>
<td valign="middle" align="center">2.47d</td>
<td valign="middle" align="center">3.39d</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">2.00d</td>
<td valign="middle" align="center">4.48d</td>
<td valign="middle" align="center">2.72cd</td>
<td valign="middle" align="center">2.78d</td>
<td valign="middle" align="center">3.40d</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Chinese milkvetch (<italic>Astragalus sinicus</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">11.75a</td>
<td valign="middle" align="center">1.86e</td>
<td valign="middle" align="center">1.36d</td>
<td valign="middle" align="center">16.31a</td>
<td valign="middle" align="center">16.88a</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">4.25b</td>
<td valign="middle" align="center">4.55d</td>
<td valign="middle" align="center">1.83cd</td>
<td valign="middle" align="center">8.42b</td>
<td valign="middle" align="center">10.91b</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">2.25cd</td>
<td valign="middle" align="center">8.34b</td>
<td valign="middle" align="center">2.24bc</td>
<td valign="middle" align="center">4.46cd</td>
<td valign="middle" align="center">7.03c</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00e</td>
<td valign="middle" align="center">14.52a</td>
<td valign="middle" align="center">4.19a</td>
<td valign="middle" align="center">3.73cd</td>
<td valign="middle" align="center">4.68e</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00e</td>
<td valign="middle" align="center">15.50a</td>
<td valign="middle" align="center">4.74a</td>
<td valign="middle" align="center">3.45d</td>
<td valign="middle" align="center">4.27e</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.75de</td>
<td valign="middle" align="center">6.81c</td>
<td valign="middle" align="center">2.40b</td>
<td valign="middle" align="center">5.56c</td>
<td valign="middle" align="center">6.55cd</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">2.00cd</td>
<td valign="middle" align="center">3.56d</td>
<td valign="middle" align="center">1.76cd</td>
<td valign="middle" align="center">5.29cd</td>
<td valign="middle" align="center">5.27de</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">2.75c</td>
<td valign="middle" align="center">1.31ef</td>
<td valign="middle" align="center">0.73e</td>
<td valign="middle" align="center">5.63c</td>
<td valign="middle" align="center">5.91cde</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Niuzhizi (<italic>Lespedeza potaninii</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00d</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">18.50a</td>
<td valign="middle" align="center">0.11f</td>
<td valign="middle" align="center">0.10d</td>
<td valign="middle" align="center">19.25a</td>
<td valign="middle" align="center">19.56a</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">4.75b</td>
<td valign="middle" align="center">2.19e</td>
<td valign="middle" align="center">1.24d</td>
<td valign="middle" align="center">9.69b</td>
<td valign="middle" align="center">10.88b</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">2.00c</td>
<td valign="middle" align="center">8.35d</td>
<td valign="middle" align="center">3.12c</td>
<td valign="middle" align="center">3.11c</td>
<td valign="middle" align="center">4.14c</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">2.00c</td>
<td valign="middle" align="center">11.62c</td>
<td valign="middle" align="center">5.72b</td>
<td valign="middle" align="center">2.46c</td>
<td valign="middle" align="center">3.14c</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">22.50a</td>
<td valign="middle" align="center">7.06a</td>
<td valign="middle" align="center">1.30c</td>
<td valign="middle" align="center">2.01c</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">16.27b</td>
<td valign="middle" align="center">5.63b</td>
<td valign="middle" align="center">1.45c</td>
<td valign="middle" align="center">2.15c</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">12.20c</td>
<td valign="middle" align="center">5.20b</td>
<td valign="middle" align="center">1.37c</td>
<td valign="middle" align="center">1.96c</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">1.00c</td>
<td valign="middle" align="center">11.73c</td>
<td valign="middle" align="center">3.72c</td>
<td valign="middle" align="center">1.64c</td>
<td valign="middle" align="center">2.36c</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">5.75b</td>
<td valign="middle" align="center">0.70ef</td>
<td valign="middle" align="center">0.41d</td>
<td valign="middle" align="center">10.81b</td>
<td valign="middle" align="center">11.41b</td>
</tr>
<tr>
<td valign="top" rowspan="10" align="center">Sweet clover (<italic>Melilotus officinalis</italic>)</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00g</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">6.25a</td>
<td valign="middle" align="center">2.76e</td>
<td valign="middle" align="center">1.30e</td>
<td valign="middle" align="center">11.88a</td>
<td valign="middle" align="center">13.05a</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">2.75c</td>
<td valign="middle" align="center">6.31d</td>
<td valign="middle" align="center">2.29c</td>
<td valign="middle" align="center">8.44c</td>
<td valign="middle" align="center">9.55c</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">12.06b</td>
<td valign="middle" align="center">3.65b</td>
<td valign="middle" align="center">5.01de</td>
<td valign="middle" align="center">5.97e</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">17.16a</td>
<td valign="middle" align="center">4.60a</td>
<td valign="middle" align="center">3.49e</td>
<td valign="middle" align="center">4.62e</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">1.00d</td>
<td valign="middle" align="center">15.59a</td>
<td valign="middle" align="center">3.81b</td>
<td valign="middle" align="center">4.91de</td>
<td valign="middle" align="center">5.80e</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">1.25d</td>
<td valign="middle" align="center">8.72c</td>
<td valign="middle" align="center">1.91d</td>
<td valign="middle" align="center">6.42d</td>
<td valign="middle" align="center">7.63d</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">3.00c</td>
<td valign="middle" align="center">1.41ef</td>
<td valign="middle" align="center">0.48f</td>
<td valign="middle" align="center">9.00bc</td>
<td valign="middle" align="center">10.16bc</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">4.50b</td>
<td valign="middle" align="center">0.44f</td>
<td valign="middle" align="center">0.20fg</td>
<td valign="middle" align="center">10.50ab</td>
<td valign="middle" align="center">11.29b</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">0.00f</td>
<td valign="middle" align="center">0.00g</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TSG, time to start germination; GI, germination index; GR, germination rate; T<sub>50</sub>, time taken for 50% germination; MGT, mean germination time. Different lowercase letters within a column and species indicate significant difference at <italic>P</italic>&#xa0;&lt;&#xa0;0.05 probability level according to Duncan&#x2019;s multiple range test.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Conversely, GI and GR showed a bell-shaped response (inverse to germination duration parameters), reaching peak values at species-specific optimum temperature ranges (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Notably, germination speed&#x2013;related parameters such as GR and T<sub>50</sub> were more sensitive to small temperature fluctuations than GP. For instance, at 10&#xb0;C, most species achieved relatively high GP values (ranging from 41.0% to 99.0%) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>); however, GR was significantly reduced and T<sub>50</sub> was markedly delayed compared with values observed at optimum temperature ranges (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Based on germination speed&#x2013;related parameters, species such as alfalfa and common vetch exhibited relatively faster germination compared with the other forage legume species (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Germination cardinal temperatures for ten forage legumes</title>
<p>Based on the relationships between temperature and GR described by the two non-linear regression models (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref>, <xref ref-type="fig" rid="f3"><bold>3</bold></xref>), germination cardinal temperatures were calculated (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Depending on species and regression model, the estimated base temperature (<italic>T<sub>b</sub></italic>) for germination ranged from &#x2212;6.26&#xb0;C (yellow medick) to 3.19&#xb0;C (Niuzhizi) using the intersected-lines model, and from &#x2212;10.22&#xb0;C (yellow medick) to 3.17&#xb0;C (Niuzhizi) using the quadratic polynomial model. The estimated optimum temperature (<italic>T<sub>o</sub></italic>) ranged from 12.57&#xb0;C (yellow medick) to 29.26&#xb0;C (erect milkvetch) and from 16.37&#xb0;C (yellow medick) to 25.56&#xb0;C (Niuzhizi) based on the intersected-lines and quadratic polynomial models, respectively. In addition, the maximum temperature (<italic>T<sub>m</sub></italic>) ranged from 41.64&#xb0;C (sweet clover) to 49.47&#xb0;C (Niuzhizi) using the intersected-lines model and from 41.85&#xb0;C (sweet clover) to 47.94&#xb0;C (Niuzhizi) using the quadratic polynomial model (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Temperature-dependent germination rate (GR) of ten forage legumes fitted using the intersected-lines model. Symbols represent the observed mean GR at ten constant temperatures, and solid lines represent model predictions. <sup>*</sup>, <sup>**</sup>, and <sup>***</sup> indicate significance at <italic>P</italic>&#xa0;&lt;&#xa0;0.05, 0.01, and 0.001 probability level, respectively. <bold>(a)</bold> alfalfa (<italic>Medicago sativa</italic>); <bold>(b)</bold> Yellow medick (<italic>Medicago falcata</italic>); <bold>(c)</bold> common vetch (<italic>Vicia sativa</italic>); <bold>(d)</bold> hairy vetch (<italic>Vicia villosa</italic>); <bold>(e)</bold> red clover (<italic>Trifolium pratense</italic>); <bold>(f)</bold> white clover (<italic>Trifolium repens</italic>); <bold>(g)</bold> erect milkvetch (<italic>Astragalus adsurgens</italic>); <bold>(h)</bold> Chinese milkvetch (<italic>Astragalus sinicus</italic>); <bold>(i)</bold> Niuzhizi (<italic>Lespedeza potaninii</italic>); <bold>(j)</bold> sweet clover (<italic>Melilotus officinalis</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1754589-g002.tif">
<alt-text content-type="machine-generated">Graphs (a) to (j) show germination rate against temperature in degrees Celsius. Each graph presents a intersected-lines model with equations and R-squared values, indicating curve fittings. Germination rates increase, reaching a peak, and then decrease across temperature ranges, demonstrating optimal germination conditions for different sets. Data points are marked with squares on each graph.</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Temperature-dependent germination rate (GR) of ten forage legumes fitted using the quadratic polynomial model. Symbols represent the observed mean GR at ten constant temperatures, and solid lines represent model predictions. <sup>*</sup>, <sup>**</sup>, and <sup>***</sup> indicate significance at <italic>P</italic>&#xa0;&lt;&#xa0;0.05, 0.01, and 0.001 probability level, respectively. <bold>(a)</bold> alfalfa (<italic>Medicago sativa</italic>); <bold>(b)</bold> Yellow medick (<italic>Medicago falcata</italic>); <bold>(c)</bold> common vetch (<italic>Vicia sativa</italic>); <bold>(d)</bold> hairy vetch (<italic>Vicia villosa</italic>); <bold>(e)</bold> red clover (<italic>Trifolium pratense</italic>); <bold>(f)</bold> white clover (<italic>Trifolium repens</italic>); <bold>(g)</bold> erect milkvetch (<italic>Astragalus adsurgens</italic>); <bold>(h)</bold> Chinese milkvetch (<italic>Astragalus sinicus</italic>); <bold>(i)</bold> Niuzhizi (<italic>Lespedeza potaninii</italic>); <bold>(j)</bold> sweet clover (<italic>Melilotus officinalis</italic>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1754589-g003.tif">
<alt-text content-type="machine-generated">Graphs (a) to (j) display quadratic trends of germination rates at different temperatures, ranging from zero to forty-five degrees Celsius. Each plot includes black squares representing data points, a curve representing a quadratic equation, and an accompanying R-squared value indicating the fit quality.</alt-text>
</graphic></fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Germination cardinal temperatures of ten forage legumes based on two non-linear regression models.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Species</th>
<th valign="middle" align="center">Cardinal temperatures (&#xb0;C)</th>
<th valign="middle" align="center">Intersected-lines</th>
<th valign="middle" align="center">Quadratic polynomial</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="center">Alfalfa (<italic>Medicago sativa</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 3.01</td>
<td valign="middle" align="center">0.23</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">25.86</td>
<td valign="middle" align="center">23.31</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">47.67</td>
<td valign="middle" align="center">46.39</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">50.68</td>
<td valign="middle" align="center">46.16</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.957</td>
<td valign="middle" align="center">0.920</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.795</td>
<td valign="middle" align="center">1.026</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Yellow medick (<italic>Medicago falcata</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 6.26</td>
<td valign="middle" align="center">&#x2013; 10.22</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">12.57</td>
<td valign="middle" align="center">16.37</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">44.28</td>
<td valign="middle" align="center">42.95</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">50.54</td>
<td valign="middle" align="center">53.17</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.933</td>
<td valign="middle" align="center">0.728</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.443</td>
<td valign="middle" align="center">0.886</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Common vetch (<italic>Vicia sativa</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 0.51</td>
<td valign="middle" align="center">0.52</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">22.01</td>
<td valign="middle" align="center">21.85</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">43.71</td>
<td valign="middle" align="center">43.17</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">44.22</td>
<td valign="middle" align="center">42.65</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.894</td>
<td valign="middle" align="center">0.794</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">1.618</td>
<td valign="middle" align="center">2.240</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Hairy vetch (<italic>Vicia villosa</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 1.95</td>
<td valign="middle" align="center">0.00</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">23.40</td>
<td valign="middle" align="center">21.26</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">42.09</td>
<td valign="middle" align="center">42.53</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">44.04</td>
<td valign="middle" align="center">42.53</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.933</td>
<td valign="middle" align="center">0.811</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.990</td>
<td valign="middle" align="center">1.610</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Red clover (<italic>Trifolium pratense</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">2.86</td>
<td valign="middle" align="center">2.31</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">25.23</td>
<td valign="middle" align="center">23.29</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">42.99</td>
<td valign="middle" align="center">44.27</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">40.13</td>
<td valign="middle" align="center">41.96</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.905</td>
<td valign="middle" align="center">0.671</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.783</td>
<td valign="middle" align="center">1.296</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">White clover (<italic>Trifolium repens</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">0.83</td>
<td valign="middle" align="center">1.79</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">25.40</td>
<td valign="middle" align="center">23.98</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">46.74</td>
<td valign="middle" align="center">46.17</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">45.92</td>
<td valign="middle" align="center">44.38</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.980</td>
<td valign="middle" align="center">0.882</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.450</td>
<td valign="middle" align="center">1.004</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Erect milkvetch (<italic>Astragalus adsurgens</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 1.97</td>
<td valign="middle" align="center">1.38</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">29.26</td>
<td valign="middle" align="center">23.69</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">45.44</td>
<td valign="middle" align="center">46.00</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">47.40</td>
<td valign="middle" align="center">44.62</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.975</td>
<td valign="middle" align="center">0.897</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.386</td>
<td valign="middle" align="center">0.720</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Chinese milkvetch (<italic>Astragalus sinicus</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 0.34</td>
<td valign="middle" align="center">0.63</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">23.62</td>
<td valign="middle" align="center">22.30</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">43.64</td>
<td valign="middle" align="center">43.98</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">43.98</td>
<td valign="middle" align="center">43.35</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.946</td>
<td valign="middle" align="center">0.810</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.395</td>
<td valign="middle" align="center">0.657</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Niuzhizi (<italic>Lespedeza potaninii</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">3.19</td>
<td valign="middle" align="center">3.17</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">26.17</td>
<td valign="middle" align="center">25.56</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">49.47</td>
<td valign="middle" align="center">47.94</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">46.28</td>
<td valign="middle" align="center">44.77</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.922</td>
<td valign="middle" align="center">0.815</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.702</td>
<td valign="middle" align="center">1.081</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="center">Sweet clover (<italic>Melilotus officinalis</italic>)</td>
<td valign="middle" align="center"><italic>T<sub>b</sub></italic></td>
<td valign="middle" align="center">&#x2013; 0.24</td>
<td valign="middle" align="center">&#x2013; 0.52</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>o</sub></italic></td>
<td valign="middle" align="center">19.25</td>
<td valign="middle" align="center">20.66</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>T<sub>m</sub></italic></td>
<td valign="middle" align="center">41.61</td>
<td valign="middle" align="center">41.85</td>
</tr>
<tr>
<td valign="middle" align="center">Thermal range (<italic>T<sub>m</sub></italic>&#x2013;<italic>T<sub>b</sub></italic>)</td>
<td valign="middle" align="center">41.85</td>
<td valign="middle" align="center">42.37</td>
</tr>
<tr>
<td valign="middle" align="center"><italic>R<sup>2</sup></italic></td>
<td valign="middle" align="center">0.956</td>
<td valign="middle" align="center">0.774</td>
</tr>
<tr>
<td valign="middle" align="center">RMSE</td>
<td valign="middle" align="center">0.411</td>
<td valign="middle" align="center">0.774</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>T<sub>b</sub></italic>, <italic>T<sub>o</sub></italic>, and <italic>T<sub>m</sub></italic> indicate base, optimum, and maximum temperature, respectively. RMSE, root mean square of error.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Based on the intersected-lines and quadratic polynomial models, the widest thermal range for germination was recorded for alfalfa (50.68&#xb0;C) and yellow medick (53.17&#xb0;C), respectively (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>).</p>
<p>Among the two applied models, the intersected-lines model showed better performance in calculating cardinal temperatures and thermal range than the quadratic polynomial model, as indicated by lower RMSE values and higher coefficients of determination (<italic>R&#xb2;</italic>) across all tested species. Furthermore, based on the intersected-lines model, the highest <italic>R&#xb2;</italic> among the forage legumes was observed for white clover (0.980), while the lowest RMSE was observed for erect milkvetch (0.386) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Correlation between germination cardinal temperatures, thermal range, and related germination parameters</title>
<p>To examine the relationships between germination cardinal temperatures, thermal range, and related germination parameters, correlation analysis was conducted (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="fig" rid="f5"><bold>5</bold></xref>). <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref> and <xref ref-type="fig" rid="f5"><bold>5</bold></xref> illustrate the relationships between cardinal temperatures obtained from the intersected-lines and quadratic polynomial models, respectively, and germination characteristics. Germination percentage (GP) was significantly correlated with all germination parameters except mean germination time (MGT) (<italic>P</italic>&#xa0;&lt;&#xa0;0.05). Germination index (GI) was significantly positively correlated with germination rate (GR) and significantly negatively correlated with T<sub>50</sub> and MGT (<italic>P</italic>&#xa0;&lt;&#xa0;0.001). Germination rate was also significantly negatively correlated with T<sub>50</sub> and MGT (<italic>P</italic>&#xa0;&lt;&#xa0;0.001). In addition, a significant positive relationship was observed between T<sub>50</sub> and MGT (<italic>P</italic>&#xa0;&lt;&#xa0;0.001). However, no significant correlations were detected between TSG and the other germination parameters.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Correlation between germination cardinal temperatures and thermal ranges obtained from intersected-lines model with germination percentage and related germination parameters of ten forage legumes. Germination parameters data used in correlation analysis were average values across all temperature treatments within a species. <italic>T<sub>b</sub></italic>, base temperature; <italic>T<sub>o</sub></italic>, optimum temperature; <italic>T<sub>m</sub></italic>, maximum temperature; TR, thermal range; GP, germination percentage; TSG, time to start germination; GI, germination index; GR, germination rate; T<sub>50</sub>, time taken for 50% germination; MGT, mean germination time. <sup>*</sup> and <sup>***</sup> indicate significance at <italic>P</italic>&#xa0;&lt;&#xa0;0.05 and 0.001 probability level, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1754589-g004.tif">
<alt-text content-type="machine-generated">Correlation matrix with variables labeled \(T_b\), \(T_o\), \(T_m\), TR, GP, TSG, GI, GR, \(T_{50}\), and MGT. Positive correlations are in orange and negative in blue, with significance indicated by asterisks. Circle size represents correlation strength, and a color gradient bar on the right shows the range from -1.0 to 1.0.</alt-text>
</graphic></fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Correlation between germination cardinal temperatures and thermal ranges obtained from quadratic polynomial model with germination percentage and related germination parameters of ten forage legumes. Germination parameters data used in correlation analysis were average values across all temperature treatments within a species. <italic>T<sub>b</sub></italic>, base temperature; <italic>T<sub>o</sub></italic>, optimum temperature; <italic>T<sub>m</sub></italic>, maximum temperature; TR, thermal range; GP, germination percentage; TSG, time to start germination; GI, germination index; GR, germination rate; T<sub>50</sub>, time taken for 50% germination; MGT, mean germination time. <sup>*</sup>, <sup>**</sup> and <sup>***</sup> indicate significance at <italic>P</italic>&#xa0;&lt;&#xa0;0.05, 0.01, and 0.001 probability level, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1754589-g005.tif">
<alt-text content-type="machine-generated">Correlation matrix with variables \(T_b\), \(T_o\), \(T_m\), TR, GP, TSG, GI, GR, \(T_{50}\), and MGT. Each cell shows correlation coefficients, colored circles representing significance levels. Orange and blue indicate positive and negative correlations, respectively. Circle size varies with correlation strength. Significance levels are marked by asterisks: *\(p&lt;0.05\), **\(p&lt;0.01\), ***\(p&lt;0.001\). A color bar on the right illustrates a range from -1 to 1.</alt-text>
</graphic></fig>
<p>The base temperature (<italic>T<sub>b</sub></italic>) was positively correlated with optimum temperature (<italic>T<sub>o</sub></italic>), particularly when calculated using the quadratic polynomial model (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>) (<italic>P</italic>&#xa0;&lt;&#xa0;0.001). Meanwhile, <italic>T<sub>b</sub></italic> exhibited a significant negative correlation with the thermal range in both models (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="fig" rid="f5"><bold>5</bold></xref>) (<italic>P</italic>&#xa0;&lt;&#xa0;0.05). Nevertheless, few significant relationships were detected between germination cardinal temperatures, thermal range, and germination parameters, and no clear relationship was observed between <italic>T<sub>b</sub></italic> and <italic>T<sub>m</sub></italic> (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="fig" rid="f5"><bold>5</bold></xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Temperature is widely recognized as a primary regulator of seed dormancy and germination (<xref ref-type="bibr" rid="B30">Hu et&#xa0;al., 2015</xref>). Understanding plant thermal requirements through seed germination tests is an effective approach to identifying suitable cultivation areas and sowing windows and, consequently, maximizing yield potential (<xref ref-type="bibr" rid="B68">Tolyat et&#xa0;al., 2014</xref>). Forage legumes play important roles in livestock production and environmentally friendly cropping systems; however, their germination, seedling growth, and eventual establishment under field conditions are often constrained by adverse temperature conditions, particularly for small-seeded forage legumes (<xref ref-type="bibr" rid="B71">Wang et&#xa0;al., 2004</xref>). Our findings demonstrate that, across all forage legume species examined, all germination parameters were significantly influenced by temperature gradients (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). This result is consistent with previous studies, including that of <xref ref-type="bibr" rid="B13">Butler et&#xa0;al. (2014)</xref> on warm-season and cool-season forage legumes. Clear differences in germination responses were observed among temperatures and species. From an agronomic perspective, species exhibiting a shorter lag period between seed imbibition and emergence, together with a high germination rate (GR), may be particularly suitable for early sowing to promote seedling establishment well before the onset of summer drought and heat stress (<xref ref-type="bibr" rid="B76">Zhang et&#xa0;al., 2013</xref>). Notably, two annual forage legumes (common vetch and hairy vetch) in the present study showed relatively higher GR compared with most perennial or biennial species, except for alfalfa (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). This observation is consistent with the findings of <xref ref-type="bibr" rid="B41">Maleki et&#xa0;al. (2024)</xref>, who reported that annual crops generally germinate more rapidly than wild species. As a perennial forage legume, alfalfa also exhibited rapid germination, which may reflect the effects of domestication, given its long history as a globally important forage crop.</p>
<p>Germination percentage (GP), germination index (GI), and GR were low, whereas time to start germination (TSG), time taken for 50% germination (T<sub>50</sub>), and mean germination time (MGT) were high under both low and high temperature regimes (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>; <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). These responses likely result from reduced enzyme activity and metabolic rates at low temperatures or from the induction of secondary dormancy at high temperatures (<xref ref-type="bibr" rid="B15">Cave et&#xa0;al., 2011</xref>). The decline in GP, GI, and GR at sub-optimal temperatures may be associated with reduced metabolic activity and impaired enzyme kinetics, such as those of &#x3b1;-amylase, which plays a key role in starch mobilization in legumes (<xref ref-type="bibr" rid="B46">Moot et&#xa0;al., 2000</xref>). Conversely, supra-optimal temperatures approaching <italic>T<sub>m</sub></italic> may lead to thermo-inhibition or secondary dormancy in forage legumes, often involving membrane destabilization and the synthesis of heat-shock proteins (<xref ref-type="bibr" rid="B67">Teixeira et&#xa0;al., 2020</xref>). Previous studies have reported similar temperature-dependent germination responses, including faster germination of white clover at 15&#x2013;25&#xb0;C (<xref ref-type="bibr" rid="B18">Chu et&#xa0;al., 2022</xref>), hairy vetch (<xref ref-type="bibr" rid="B74">Yang et&#xa0;al., 2022</xref>), and sweet clover (<xref ref-type="bibr" rid="B27">Ghaderi-Far et&#xa0;al., 2010</xref>). In addition, germination speed&#x2013;related parameters appeared more sensitive to temperature variation than GP. For example, the decoupling of GP and GR observed at 10&#xb0;C suggests that low temperature primarily limits the kinetic energy of biochemical reactions rather than seed viability per se (<xref ref-type="bibr" rid="B46">Moot et&#xa0;al., 2000</xref>).</p>
<p>It should also be noted that the present study employed constant temperature regimes to quantify germination cardinal temperatures and thermal ranges, whereas soil temperatures under field conditions fluctuate diurnally. In many species, alternating temperatures have been shown to enhance germination compared with constant temperatures (<xref ref-type="bibr" rid="B38">Lin et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B34">Kallow et&#xa0;al., 2020</xref>), potentially by alleviating physical dormancy or facilitating metabolic repair during cooler phases (<xref ref-type="bibr" rid="B70">Van Assche et&#xa0;al., 2003</xref>). However, other studies have reported no significant differences in GP or GR between constant and alternating temperature regimes, indicating that some species do not require temperature alternation for germination (<xref ref-type="bibr" rid="B50">Ortega-Baes et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B74">Yang et&#xa0;al., 2022</xref>). <xref ref-type="bibr" rid="B43">Masin et&#xa0;al. (2017)</xref> suggested that, for species exhibiting low germination under constant temperatures, further testing using alternating temperature regimes may be necessary to reliably estimate cardinal temperatures. In the present study, germination cardinal temperatures were determined for ten forage legumes, and both GP and GR were high under optimal temperature ranges. From a modeling perspective, these results indicate that cardinal temperatures derived from constant temperature regimes remain a robust and fundamental basis for predicting germination responses. Indeed, constant-temperature approaches have been widely applied to estimate cardinal temperatures and seed vigor across numerous plant species (<xref ref-type="bibr" rid="B29">Hardegree, 2006</xref>; <xref ref-type="bibr" rid="B23">Fallahi et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B79">Zhang et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B60">Solouki et&#xa0;al., 2022</xref>), consistent with the methodology used here.</p>
<p>The application of mathematical models provides a powerful means of quantifying the effects of environmental factors on germination characteristics across diverse species (<xref ref-type="bibr" rid="B7">Bakhshandeh et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B78">Zhang et&#xa0;al., 2022</xref>). To date, several models&#x2014;including intersected-lines, segmented, beta, dent, and quadratic polynomial models&#x2014;have been successfully applied to describe temperature-dependent germination responses (<xref ref-type="bibr" rid="B10">Bidgoly et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B14">Cabrera-Santos et&#xa0;al., 2022</xref>). Parameters estimated using these models can serve as critical inputs for predicting seed germination and seedling emergence under field conditions and future climate scenarios. <xref ref-type="bibr" rid="B16">Chen et&#xa0;al. (2021)</xref> emphasized that GR is closely related to temperature, supporting the development of GR-based models to describe progress toward germination. It is well established that GR increases linearly with temperature from <italic>T<sub>b</sub></italic> to <italic>T<sub>o</sub></italic> and subsequently declines toward zero at supra-optimal temperatures (<xref ref-type="bibr" rid="B36">Kebreab and Murdoch, 1999</xref>; <xref ref-type="bibr" rid="B51">Parmoon et&#xa0;al., 2015</xref>). This pattern was confirmed in the present study, as GR and related parameters increased with temperature up to <italic>T<sub>o</sub></italic> and then decreased beyond this threshold (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). In this study, two commonly used non-linear regression models&#x2014;the intersected-lines and quadratic polynomial models&#x2014;were applied to estimate germination cardinal temperatures for ten forage legumes. Both models demonstrated satisfactory accuracy based on RMSE and <italic>R&#xb2;</italic> values; however, the intersected-lines model consistently outperformed the quadratic polynomial model (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). This finding aligns with previous work by <xref ref-type="bibr" rid="B23">Fallahi et&#xa0;al. (2017)</xref>, who also identified the intersected-lines model as the most suitable for describing temperature-dependent germination responses in flixweed (<italic>Descurainia sophia</italic>).</p>
<p>It is noteworthy that germination cardinal temperatures and thermal range varied among the different forage legumes studied (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Germination characteristics are influenced not only by environmental factors but also differ among species and even among cultivars (<xref ref-type="bibr" rid="B3">Ali et&#xa0;al., 1994</xref>). This variation is particularly important for understanding plant growth potential across diverse geographic regions and, consequently, variability in crop yields (<xref ref-type="bibr" rid="B44">Massawe et&#xa0;al., 2003</xref>). For example, for the two species from the genus <italic>Vicia</italic> examined in this study, the calculated <italic>T<sub>o</sub></italic> ranges are consistent with previous findings by <xref ref-type="bibr" rid="B47">Mosjidis and Zhang (1995)</xref>, who reported 18&#x2013;23&#xb0;C as the optimal temperature range for germination across 15 accessions of six <italic>Vicia</italic> species. Based on both models, the highest <italic>T<sub>b</sub></italic> and <italic>T<sub>m</sub></italic> values were observed for Niuzhizi, indicating a warm-temperature adaptation during the germination stage for this species. Niuzhizi is a native legume endemic to arid regions of northwest China and plays important roles in local desert restoration (<xref ref-type="bibr" rid="B17">Chen et&#xa0;al., 2024</xref>). Its enhanced tolerance to high temperatures during germination likely contributes to its suitability for ecological restoration under harsh environmental conditions. The <italic>T<sub>b</sub></italic> of alfalfa obtained in the present study deviated slightly from the value of 2.9&#xb0;C reported by <xref ref-type="bibr" rid="B56">Sakanoue (2010)</xref> and from the range of &#x2212;0.55 to 0.49&#xb0;C reported across cultivars by <xref ref-type="bibr" rid="B33">Jungers et&#xa0;al. (2016)</xref>. These differences are likely attributable to variation among cultivars used in the assays and may also reflect differences in modeling approaches (e.g., the use of GR versus 1/T<sub>50</sub>). Notably, <italic>T<sub>o</sub></italic>, <italic>T<sub>m</sub></italic>, and thermal range values were not reported in the aforementioned studies. The two <italic>Medicago</italic> species examined here also exhibited wider germination thermal ranges compared with the other forage legumes (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>), suggesting broader environmental adaptation. This finding is consistent with the well-established global importance and wide distribution of species within the genus <italic>Medicago</italic> (<xref ref-type="bibr" rid="B80">Zhong et&#xa0;al., 2025</xref>). From an agronomic perspective, quantifying germination cardinal temperatures provides a precise framework for optimizing sowing windows. For instance, knowledge of <italic>T<sub>b</sub></italic> allows agronomists and growers to determine the earliest safe sowing date in spring to avoid frost-induced seedling mortality, whereas <italic>T<sub>m</sub></italic> helps to avoid exposure to late-summer heat stress during establishment (<xref ref-type="bibr" rid="B46">Moot et&#xa0;al., 2000</xref>). Interestingly, several species&#x2014;particularly within the genus <italic>Medicago</italic>&#x2014;exhibited <italic>T<sub>b</sub></italic> values below 0&#xb0;C. Although these negative values result from mathematical extrapolation of non-linear regression models, they may carry important biological and ecological implications. A <italic>T<sub>b</sub></italic>&#xa0;&lt;&#xa0;0&#xb0;C suggests a high degree of cold tolerance and an &#x201c;early-emergence&#x201d; strategy, allowing seeds to initiate metabolic activity immediately following spring thaw. Biologically, the presence of cryoprotective compounds within seed embryos may permit biochemical reactions at sub-zero temperatures while minimizing cellular damage. Species exhibiting <italic>T<sub>b</sub></italic>&#xa0;&lt;&#xa0;0&#xa0;&#xb0;C therefore possess a wider sowing window, facilitating earlier establishment and improved utilization of spring soil moisture. Sub-zero <italic>T<sub>b</sub></italic> values have also been reported for other plant species, including forage brassicas (<italic>Brassica napus</italic>) (<xref ref-type="bibr" rid="B5">Andreucci et&#xa0;al., 2016</xref>), <italic>Saxifraga tridactylites</italic> (<xref ref-type="bibr" rid="B69">Trudgill et&#xa0;al., 2000</xref>), barley (<italic>Hordeum vulgare</italic>) (<xref ref-type="bibr" rid="B77">Zhang et&#xa0;al., 2010</xref>), and <italic>Cryptantha minima</italic> (<xref ref-type="bibr" rid="B72">Wei et&#xa0;al., 2009</xref>). Furthermore, identifying species-specific thermal niches enables more accurate matching of forage legumes to regional climatic conditions, thereby enhancing the reliability and sustainability of legume-inclusive cropping systems (<xref ref-type="bibr" rid="B20">Donohue et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B19">Ditzler et&#xa0;al., 2021</xref>).</p>
<p>Beyond immediate sowing optimization, germination cardinal temperatures&#x2014;particularly <italic>T<sub>o</sub></italic> and <italic>T<sub>m</sub></italic>&#x2014;are critical for assessing species resilience under climate change. According to the framework proposed by <xref ref-type="bibr" rid="B57">Sentinella et&#xa0;al. (2020)</xref>, a species&#x2019; vulnerability to warming is determined not only by the breadth of its thermal tolerance but also by the proximity of its upper thermal limit (<italic>T<sub>m</sub></italic>) to current and projected environmental temperature extremes. Species with relatively low <italic>T<sub>m</sub></italic> values identified in this study, such as sweet clover, may therefore face increased risk under future warming scenarios, as germination temperatures may approach or exceed their upper thermal thresholds. This risk may be particularly pronounced in high northern latitude regions, which are projected to experience greater warming than tropical and southern temperate regions (<xref ref-type="bibr" rid="B57">Sentinella et&#xa0;al., 2020</xref>).</p>
<p>Results from correlation analysis revealed no statistically significant relationships between cardinal temperatures and germination parameters (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="fig" rid="f5"><bold>5</bold></xref>), suggesting that, within a species, these cardinal thresholds are relatively stable traits that may vary independently of overall germination vigor. However, whether the cardinal temperatures of the ten forage legumes examined here are influenced by other environmental factors, such as water potential and salinity stress, requires further investigation. Significant relationships between <italic>T<sub>b</sub></italic> and <italic>T<sub>o</sub></italic>, as well as between <italic>T<sub>b</sub></italic> and thermal range, were observed in this study. These findings are consistent with the global database updated by <xref ref-type="bibr" rid="B41">Maleki et&#xa0;al. (2024)</xref>, suggesting that plants adjust <italic>T<sub>b</sub></italic> in coordination with other cardinal temperatures as an efficient adaptive strategy for coping with unfavorable environmental conditions. The significant correlations observed among several germination parameters across the ten tested species are consistent with previous reports and are not unexpected (<xref ref-type="bibr" rid="B37">Khan et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B39">Lv et&#xa0;al., 2024</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The present experiment quantified, for the first time, the germination cardinal temperatures (<italic>T<sub>b</sub></italic>, <italic>T<sub>o</sub></italic>, and <italic>T<sub>m</sub></italic>) and thermal ranges for several important forage legumes, providing a valuable supplement to the existing global seed trait database. Temperature exerted a strong influence on the seed germination characteristics of the ten forage legumes studied. Germination percentage (GP), germination index (GI), and germination rate (GR) increased and then declined with increasing temperature, whereas time to start germination (TSG), time taken for 50% germination (T<sub>50</sub>), and mean germination time (MGT) showed the opposite trend. In general, all species exhibited relatively high GP and rapid germination at temperatures between 15 and 25&#xb0;C. Both non-linear regression models applied in this study adequately described germination responses to temperature across the ten species, although the intersected-lines model consistently outperformed the quadratic polynomial model. Based on these models, germination cardinal temperatures and thermal ranges varied markedly among the forage legumes, allowing their categorization according to thermal preferences. Species such as alfalfa, yellow medick, and erect milkvetch exhibited broad germination thermal ranges, characterized by low <italic>T<sub>b</sub></italic> values, high <italic>T<sub>m</sub></italic> values, and wide thermal tolerance, enabling effective germination across diverse geographic regions and seasons, provided that other environmental conditions are favorable. Sweet clover favored cooler temperature regimes for germination, as evidenced by its comparatively low <italic>T<sub>o</sub></italic> and <italic>T<sub>m</sub></italic> values. In contrast, Niuzhizi and white clover favored higher temperature conditions, reflected by their higher <italic>T<sub>o</sub></italic> and <italic>T<sub>m</sub></italic> thresholds. Species within the genus <italic>Vicia</italic> and red clover were better adapted to moderate temperature regimes. No statistically significant relationships were detected between germination cardinal temperatures and germination parameters, indicating that germination cardinal temperatures primarily reflect the degree of environmental adaptation of a species rather than its overall germination vigor. Knowledge of germination cardinal temperatures is therefore essential for informed decision-making regarding geographic region selection, sowing practices, and efficient forage legume production. Moreover, these data contribute to a deeper understanding of species distribution patterns in response to climate change. Future research should focus on integrating additional environmental factors&#x2014;such as water potential and saline&#x2013;alkaline stress&#x2014;into germination modeling frameworks.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MS: Conceptualization, Data curation, Investigation, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YMH: Data curation, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RJ: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. XZ: Data curation, Investigation, Methodology, Validation, Writing &#x2013; review &amp; editing. JT: Investigation, Methodology, Writing &#x2013; review &amp; editing. HT: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. YRH: Investigation, Methodology, Writing &#x2013; review &amp; editing. YG: Investigation, Validation, Writing &#x2013; review &amp; editing. ZL: Data curation, Software, Writing &#x2013; review &amp; editing. YY: Investigation, Methodology, Writing &#x2013; review &amp; editing. SZ: Software, Validation, Writing &#x2013; review &amp; editing. JS: Conceptualization, Data curation, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing. QT: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The handling editor YL declared a past co-authorship with the author JS.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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>
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<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.2026.1754589/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2026.1754589/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/></sec>
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