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<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>
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<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.2026.1757496</article-id>
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<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
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<title-group>
<article-title>Physiological and biochemical responses of twelve autochthonous grapevine varieties to summer stress in the Douro Demarcated Region</article-title>
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<contrib contrib-type="author">
<name><surname>Gaspar</surname><given-names>Maria</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Carvalho</surname><given-names>M&#xe1;rcia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Baltazar</surname><given-names>Miguel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ferreira</surname><given-names>Helena</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Valente</surname><given-names>Joana</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Alves</surname><given-names>Fernando</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Castro</surname><given-names>Isaura</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Gon&#xe7;alves</surname><given-names>Berta</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label>1</label><institution>Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Tr&#xe1;s-os-Montes e Alto Douro (UTAD)</institution>, <city>Vila Real</city>,&#xa0;<country country="pt">Portugal</country></aff>
<aff id="aff2"><label>2</label><institution>Institute for Innovation, Capacity Building and Sustainability of Agri-food Production (Inov4Agro), University of Tr&#xe1;s-os-Montes e Alto Douro (UTAD)</institution>, <city>Vila Real</city>,&#xa0;<country country="pt">Portugal</country></aff>
<aff id="aff3"><label>3</label><institution>Symington Family Estates, Vinhos SA</institution>, <city>Vila Nova de Gaia</city>,&#xa0;<country country="pt">Portugal</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Isaura Castro, <email xlink:href="mailto:icastro@utad.pt">icastro@utad.pt</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-05">
<day>05</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>1757496</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Gaspar, Carvalho, Baltazar, Ferreira, Valente, Alves, Castro and Gon&#xe7;alves.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Gaspar, Carvalho, Baltazar, Ferreira, Valente, Alves, Castro and Gon&#xe7;alves</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-05">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>
<p>Grapevine (<italic>Vitis vinifera</italic> L.) is one of the most cultivated crops in Portugal and worldwide and plays an important role in the Mediterranean countries&#x2019; economies. In the last decade, this region has faced increasing summer stress that negatively impacts plant growth and development and reduces crop&#x2019;s yield and quality. These challenges can be addressed by exploring grapevine varietal diversity to identify promising genotypes capable of coping with summer stress. In this study, twelve different autochthonous varieties grown in the <italic>Douro Superior</italic> sub-region from the Douro Demarcated Region were studied in two different phenological stages (veraison and maturity) and two consecutive growing seasons (2023 and 2024). Measurements included leaf gas exchange parameters (in the morning and midday), lipid peroxidation analysis, determination of the contents of photosynthetic pigments, total soluble sugars, starch, bioactive compounds - including total phenolics, flavonoids, and ortho-diphenols -, and of the antioxidant activity using ABTS, DPPH, and FRAP assays. The data obtained revealed that &#x2018;Tinta Roriz&#x2019; and &#x2018;Alicante Bouschet&#x2019; presented photosynthetic activity, water use efficiency and pigment levels, suggestive of tolerance to summer stress. On the other hand, &#x2018;Mourisco de Semente&#x2019;, &#x2018;Malvasia Preta&#x2019;, and &#x2018;Touriga F&#xea;mea&#x2019; revealed lower antioxidant activity, and photosynthetic capacity, indicative of higher vulnerability to stress conditions. The remaining varieties presented an intermediate summer stress tolerance or a growing season-tolerance variability. These findings highlight the diversity of responses of different grapevine varieties to summer stress and reinforce the importance of identifying stress-resilient genotypes.</p>
</abstract>
<kwd-group>
<kwd>antioxidant activity</kwd>
<kwd>autochthonous varieties</kwd>
<kwd>grapevine varietal diversity</kwd>
<kwd>leaf gas exchange</kwd>
<kwd>summer stress</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by Vine &amp; Wine Portugal Project, co-financed by the RRP&#x2014;Recovery and Resilience Plan and the European Next-Generation EU Funds, within the scope of the Mobilizing Agendas for Reindustrialization, under ref. C644866286&#x2013;00000011.</funding-statement>
</funding-group>
<counts>
<fig-count count="12"/>
<table-count count="4"/>
<equation-count count="4"/>
<ref-count count="42"/>
<page-count count="23"/>
<word-count count="14399"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Crop and Product Physiology</meta-value>
</custom-meta>
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</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p><italic>Vitis vinifera</italic> L. is one of the most important fruit crops worldwide (<xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>) and among the most widespread cultivated species due to its economic importance (<xref ref-type="bibr" rid="B11">Carvalho et&#xa0;al., 2024</xref>). Viticulture is an ancient agricultural activity with wine and table grapes being the most distinctive products (<xref ref-type="bibr" rid="B32">Prada et&#xa0;al., 2024</xref>). The development and growth of grapevines, as well as their physiological processes, plant quality, and yield, are directly influenced by the interaction of climate, soil, geography, grapevine variety, and cultural practices (<xref ref-type="bibr" rid="B15">Fraga et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B26">Monteiro et&#xa0;al., 2024c</xref>; <xref ref-type="bibr" rid="B32">Prada et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). Vineyards worldwide have experienced several climatic disruptions due to climate change (<xref ref-type="bibr" rid="B30">OIV, 2025</xref>). Mediterranean countries, namely Portugal and Greece, report five-year average wine production losses up to 30% (<xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>; <xref ref-type="bibr" rid="B30">OIV, 2025</xref>). These regions have a Mediterranean climate that is characterized by two distinct seasons: cool, wet winters and hot, dry summers (<xref ref-type="bibr" rid="B32">Prada et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B30">OIV, 2025</xref>). The Mediterranean region is classified as a significant climate change hotspot due to reporting an increase in temperature and frequency of extreme weather events, prolonged periods of severe drought, and higher levels of ultraviolet radiation. These changes will have significant effects on agriculture, as well as food security and safety (<xref ref-type="bibr" rid="B33">Schultz, 2000</xref>; <xref ref-type="bibr" rid="B14">Dinis et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B32">Prada et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). Portuguese vineyards, including the Douro Demarcated Region (DDR) in the northeast of Portugal, have also been facing the effects of climate change, with increasingly drier and warmer conditions, and rising frequency and intensity of extreme weather events (<xref ref-type="bibr" rid="B26">Monteiro et&#xa0;al., 2024c</xref>). The DDR has a unique terroir and Mediterranean climate conditions (<xref ref-type="bibr" rid="B23">Monteiro et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B26">Monteiro et&#xa0;al., 2024c</xref>; <xref ref-type="bibr" rid="B24">Monteiro et&#xa0;al., 2024a</xref>; <xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al., 2024b</xref>). The &#x2018;Douro Superior&#x2019; subregion has a specific microclimate that has been experiencing an increasing combination of stress factors, such as higher temperatures and radiation, and more severe water deficits (<xref ref-type="bibr" rid="B11">Carvalho et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B24">Monteiro et&#xa0;al., 2024a</xref>). This type of climate change has been classified as summer stress and affects grapevines differently depending on the region. However, a high level of summer stress can hinder grapevine development and decrease grape yield and quality, generating biological responses that may threaten its survivability (<xref ref-type="bibr" rid="B7">Biasi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). When grapevines are subjected to summer stress, photosynthesis is one of the first biological processes to be affected, decreasing due to the extreme sensitivity of grapevine leaves to heat and radiation stress. To prevent water loss, leaves tend to close the stomata, leading to changes in gas exchange rates. Therefore, analyzing this parameter by measuring leaf gas exchanges is essential when selecting for varietal adaptability (<xref ref-type="bibr" rid="B8">Brito et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). Other leaf components are also affected by the plant&#x2019;s exposure to summer stress as part of its response to mitigate negative effects. Total soluble sugar and starch in grapevine leaves commonly suffer changes under stress, as these compounds are synthesized during photosynthesis and play key roles in energy storage, organic compound production, and the formation of cellulose and hemicellulose. However, high temperatures, particularly at night, prevent their transport to the berries, leading to an accumulation of these compounds in the leaves (<xref ref-type="bibr" rid="B42">Zufferey et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B37">Tombesi et&#xa0;al., 2019</xref>). Some photosynthetic pigments, such as carotenoids, tend to increase in leaves when the plant is under summer stress, as they play a protective role by mitigating oxidative stress and acting as quenchers of chlorophyll molecules. This response is known to be variety-dependent (<xref ref-type="bibr" rid="B10">Carvalho et&#xa0;al., 2016</xref>). Similarly, phenolic compounds, such as total phenolics, flavonoids, and <italic>ortho</italic>-diphenols, vary among grapevine varieties and are crucial for grape quality. Another important function of these compounds is the plant&#x2019;s defense mechanisms against summer stress (<xref ref-type="bibr" rid="B20">Luzio et&#xa0;al., 2021</xref>). The exposure of plants to summer stress negatively impacts their metabolism by causing oxidative damage to proteins, lipids, and nucleic acids. The presence of this oxidative stress, which can be analyzed using thiobarbituric acid reactive substances (TBARS), induces the activation of antioxidant enzymes (<xref ref-type="bibr" rid="B38">Tzortzakis et&#xa0;al., 2020</xref>). This activation promotes changes in antioxidant activity when the plant is exposed to summer stress, making it a very important parameter to analyze (<xref ref-type="bibr" rid="B27">Monteiro et&#xa0;al., 2024</xref>).</p>
<p>The increase in summer stress and climate change, in general, highlights the urgent need for research on grapevine adaptation strategies. These strategies include studying the intraspecific diversity of grapevines, as has been reported different grapevine varieties have different responses to abiotic and biotic stress conditions (<xref ref-type="bibr" rid="B7">Biasi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B28">Morales-Castilla et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B34">Serrano et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B11">Carvalho et&#xa0;al., 2024</xref>). Despite these varieties belonging to the same species, they present significant genomic and phenotypic plasticity. Their study can help to identify varieties better able to face climate changes, while also to select desirable traits in wine production. The use of optimally adapted grapevine varieties for each growing region is a long-term adaptation strategy and may be one of the most effective measures for enhancing the sustainability of the viticulture sector (<xref ref-type="bibr" rid="B28">Morales-Castilla et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B11">Carvalho et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). The relationship between net photosynthesis and stomatal conductance, and carbon isotope discrimination in grapes, have been considered reliable physiological indicators for selecting efficient genotypes to future environmental conditions within cv. &#x2018;Grenache&#x2019; (<xref ref-type="bibr" rid="B9">Buesa et&#xa0;al., 2021</xref>). &#x2018;Bobal&#x2019;, &#x2018;Garnacha Peluda&#x2019;, &#x2018;Garnacha Tinta&#x2019;, &#x2018;Mazuela&#x2019;, and &#x2018;Moribel&#x2019; cultivars have been considered well responders to drought conditions, maintaining high yields and must quality through assessment of carbon isotope (<xref ref-type="bibr" rid="B7">Biasi et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B28">Morales-Castilla et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B34">Serrano et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B11">Carvalho et&#xa0;al., 2024</xref>). Color attributes, phenolic composition, and antioxidant potential of 24 white grape varieties over two consecutive growing seasons in the Douro Demarcated Region revealed notable varietal and year-to-year differences in both phenolic content and antioxidant potential with the cvs. as &#x2018;Cerceal Branco&#x2019; and &#x2018;Moscatel Galego Branco&#x2019; showing significant increases in total phenolic content and antioxidant activity under warmer and drier conditions, suggesting a robust physiological response to abiotic stress (<xref ref-type="bibr" rid="B5">Baltazar et&#xa0;al., 2025b</xref>). <xref ref-type="bibr" rid="B4">Baltazar et&#xa0;al</xref> noticed increased anthocyanin content in a warmer and drier season in cvs. such as &#x2018;Tinto C&#xe3;o&#x2019; and &#x2018;Touriga Franca&#x2019; and decline in the cv. &#x2018;Vinh&#xe3;o&#x2019;, highlighting differential varietal responses to abiotic stress.</p>
<p>This study aimed to evaluate the behavior of 12 different grapevine varieties grown in a Mediterranean climate based on physiological and biochemical approaches during two consecutive growing seasons (2023 and 2024). The analysis included leaf gas exchange measurements, lipid peroxidation analysis, photosynthetic pigments, total soluble sugar and starch, bioactive compounds such as total phenolics, flavonoids, and <italic>ortho</italic>-diphenols contents, and the assessment of the antioxidant activity using ABTS, DPPH, and FRAP assays.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Material and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Plant material and sampling</title>
<p>The experimental trial was conducted at Quinta do Ata&#xed;de, a commercial vineyard planted in 2013, located in the <italic>Douro Superior</italic> (Upper Douro) sub-region of the Douro Demarcated Region, Vila Flor, Portugal (41&#xb0;15&#x2019;03.3&#x2019;&#x2019;N 7&#xb0;06&#x2019;38.7&#x2019;&#x2019;W, 160 m above sea level). Twelve different autochthonous varieties (&#x2018;Touriga Nacional&#x2019;, &#x2018;Touriga Franca&#x2019;, &#x2018;Tinta Roriz&#x2019;, &#x2018;Tinto C&#xe3;o&#x2019;, &#x2018;Tinta Barroca&#x2019;, &#x2018;Trincadeira&#x2019;, &#x2018;Vinh&#xe3;o&#x2019;, &#x2018;Donzelinho Tinto&#x2019;, &#x2018;Alicante Bouschet&#x2019;, &#x2018;Touriga F&#xea;mea&#x2019;, &#x2018;Malvasia Preta&#x2019;, and &#x2018;Mourisco de Semente&#x2019;) of <italic>Vitis vinifera</italic> cv. grafted on 196&#x2013;17 C rootstock were studied throughout two growing seasons (2023 and 2024) and two phenological stages (veraison and maturity). The vineyard was arranged in four aligned blocks each composed of parallel rows of 25 vines per cultivar. The row spacing was 2.10 m and vine spacing was 0.9 m and the vines were trained to unilateral Royat Cordon, with vertical shoot positioning (VSP) in an east&#x2013;southeast to west&#x2013;northwest orientation. The vines were grown following the standard cultural practices usually employed by local wine producers. The collection was drip-irrigated, with 25% replacement of the ETc (crop evapotranspiration), that corresponds to a regulated deficit irrigation (RDI) approach, from bunch closure until one week before harvest. Crop evapotranspiration (ETc) for grapevine was calculated following the standard FAO methodology, as the product of reference evapotranspiration (ET<sub>0</sub>) and the grapevine crop coefficient (Kc), i.e., ETc = ET<sub>0</sub> &#xd7; Kc. Reference evapotranspiration was estimated using the FAO Penman&#x2013;Monteith equation, and Kc value was selected according to grapevine phenological stage, as widely reported in the literature. In 2023, the irrigation period extended from 18 July to 29 August, with a total irrigation amount of 53.4 mm per block. In 2024, irrigation was applied from 23 July to 3 September, totaling 55.2 per block. This parcel is characterized by cold winters, with several days of temperatures below 0&#xb0;C, and dry hot summers. The monthly temperature values and precipitation were calculated via a weather station located near the experimental site (daily recorded) and are shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Monthly mean temperatures and precipitation ocurred during the 2023 and 2024 growing seasons in the vineyard Quinta do Ata&#xed;de in the Douro Superior sub-region. Precipitation (mm); Maximum temperature &#x2013; T_Max (&#xb0;C); Minimum temperature - T_Min (&#xb0;C) and Mean temperature &#x2013; T_Med (&#xb0;C).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g001.tif">
<alt-text content-type="machine-generated">Bar and line chart showing monthly precipitation and temperature trends from November 2022 to October 2024. Precipitation is represented by blue bars. Maximum temperature is shown with a solid brown line, minimum temperature with a light brown line, and median temperature with a dashed line. Temperatures and precipitation levels vary throughout the period, peaking in the summer and winter months, respectively.</alt-text>
</graphic></fig>
<p>During the first growing season (November 2022&#x2013;October 2023), the mean daily temperature was 16.6&#xb0;C reaching a peak monthly average of 35.8&#xb0;C in August. Precipitation during this season was 670 mm. The second growing season (November 2023&#x2013;October 2024) had a similar mean daily temperature of 16.5&#xb0;C, but a higher peak monthly average of 37.0&#xb0;C in August. Moreover, this season received less precipitation, totaling 536 mm.</p>
<p>For the biochemical parameters&#x2019; evaluation, one fully developed leaf from shoots middle section in five different grapevines plants was collected and pooled at veraison and maturity, during morning period. The procedure was repeated to the four replicates from each variety. These samples were immediately stored on dry ice for transport to the lab, where they were kept at - 80&#xb0;C until grounded into fine powder using liquid nitrogen and then were sub-divided to the several biochemical parameters analysis.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Gas exchange measurements</title>
<p>Leaf gas exchange parameters were determined at veraison and maturity in the two years of the trial (2023 and 2024) with a portable infrared gas analyzer system (IRGA) (LCpro+, ADC, Hoddesdon, UK). Net CO<sub>2</sub> assimilation rate (A), stomatal conductance (g<sub>s</sub>), intercellular CO<sub>2</sub> concentration (C<sub>i</sub>), transpiration rate (E), and intrinsic water use efficiency (A/g<sub>s</sub>) were estimated according to the equations described by von Caemmerer and Farquhar (1981) (<xref ref-type="bibr" rid="B39">Von Caemmerer and Farquhar, 1981</xref>). These measurements were conducted at Quinta do Ata&#xed;de (under natural conditions) and were used adult leaves (n = 4 per variety), on sunny days, in the morning (8 am - 10 am), and at solar noon (1 pm - 2 pm). Veraison data were collected on July 26<sup>th</sup> 2023 and 25<sup>th</sup> July 2024, while maturity data were collected on 31<sup>st</sup> August 2023 and 5<sup>th</sup> September 2024.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Lipid peroxidation</title>
<p>To determine the oxidative damage of lipids in 10 mg of grapevine leaves (n=4 per year, per phenological stage) and mixed a solution of trichloroacetic acid (TCA) 20% to obtain the extract. The TBARS reagent (thiobarbituric acid reactive substances) protocol was used, following the microscale method described by Monteiro et&#xa0;al (<xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al., 2024b</xref>). The measurements were performed in triplicate and was used the microplate reader. TBARS concentration was expressed as nmols TBARS per g of fresh weight (nmol g<sup>-1</sup> FW).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Photosynthetic pigments determination</title>
<p>To determine the content of photosynthetic pigments, 10 mg of fresh leaves (FW) was used for each sample (n=4 per year, per phenological stage). The extraction was performed using acetone 80% (v/v). The quantification of chlorophyll <italic>a</italic> and <italic>b</italic>, total chlorophyll, and carotenoids was performed in triplicate according to the methods described by <xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al. (2024b)</xref> using a microplate reader. These pigments were determined following the equations described by <xref ref-type="bibr" rid="B21">Mackinney (1941)</xref>:</p>
<disp-formula>
<mml:math display="block" id="M1"><mml:mrow><mml:mi>C</mml:mi><mml:mi>h</mml:mi><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi><mml:mi>y</mml:mi><mml:mi>l</mml:mi><mml:mi>l</mml:mi><mml:mi>a</mml:mi><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>12.7</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>663</mml:mn></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mn>2.69</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>645</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo stretchy="false">/</mml:mo><mml:mn>1000</mml:mn></mml:mrow></mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M2"><mml:mrow><mml:mi>C</mml:mi><mml:mi>h</mml:mi><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi><mml:mi>y</mml:mi><mml:mi>l</mml:mi><mml:mi>l</mml:mi><mml:mi>b</mml:mi><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>22.9</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>645</mml:mn></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mn>4.68</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>663</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo stretchy="false">/</mml:mo><mml:mn>1000</mml:mn></mml:mrow></mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M3"><mml:mrow><mml:mi>T</mml:mi><mml:mi>o</mml:mi><mml:mi>t</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mtext>&#xa0;</mml:mtext><mml:mi>c</mml:mi><mml:mi>h</mml:mi><mml:mi>l</mml:mi><mml:mi>o</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>p</mml:mi><mml:mi>h</mml:mi><mml:mi>y</mml:mi><mml:mi>l</mml:mi><mml:mi>l</mml:mi><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>0.0202</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>645</mml:mn></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mn>0.00802</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>663</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M4"><mml:mrow><mml:mi>C</mml:mi><mml:mi>a</mml:mi><mml:mi>r</mml:mi><mml:mi>o</mml:mi><mml:mi>t</mml:mi><mml:mi>e</mml:mi><mml:mi>n</mml:mi><mml:mi>o</mml:mi><mml:mi>i</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mo>=</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mn>1000</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>A</mml:mi><mml:mi>b</mml:mi><mml:msub><mml:mi>s</mml:mi><mml:mrow><mml:mn>470</mml:mn></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mn>1.82</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>C</mml:mi><mml:msub><mml:mi>l</mml:mi><mml:mi>a</mml:mi></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mn>85.02</mml:mn><mml:mo>&#xd7;</mml:mo><mml:mi>C</mml:mi><mml:msub><mml:mi>l</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo stretchy="false">/</mml:mo><mml:mn>198</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>&#xd7;</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math>
</disp-formula>
<p>The photosynthetic pigment results were expressed as mg per g of fresh weight (mg g<sup>&#x2212;1</sup> FW).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Total soluble sugars and starch determination</title>
<p>To determine the content of total leaf soluble sugars and leaf starch, the methodology described by <xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al. (2024b)</xref> was followed. A total of 10 mg of fresh leaves (n=4 per year, per phenological stage) was used, and three technical replicates were performed. A glucose calibration curve (r<sup>2</sup> soluble sugars = 0.9861; r<sup>2</sup> starch = 0.9352) was used to express the results in mg glucose g<sup>-1</sup> of fresh weight (mg g<sup>-1</sup>FW).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Determination of bioactive compounds and antioxidant activity</title>
<p>To prepare the sample extract (n=4 per year, per phenological stage), 40 mg of fresh leaves were weighed, and then 1.5 mL of 70% (v/v) methanol was added. The mixture was mixed in an orbital shaker for 30 min at the highest speed and room temperature. Samples were centrifuged at 5,000 rpm for 15 min at 4&#xb0;C, and the supernatant was collected. The procedure was repeated two more times, and the final volume was adjusted to 5 mL with 70% (v/v) methanol and stored at -20&#xb0;C until analyses for the determination of the total phenolics, flavonoids, <italic>ortho</italic>-diphenols, and antioxidant activity (AA) assays. The analyses were performed in triplicate in a microplate reader using 96-well microplates. All the results were presented in terms of fresh weight (FW).</p>
<sec id="s2_6_1">
<label>2.6.1</label>
<title>Polyphenolic contents</title>
<p>The polyphenolic contents, namely total phenolics, flavonoids, and <italic>ortho</italic>-diphenols, were determined according to spectrophotometric methodologies previously described by Monteiro et&#xa0;al (<xref ref-type="bibr" rid="B24">Monteiro et&#xa0;al., 2024a</xref>). For all the analyses, a total of three technical replicates of each sample were performed and specific calibration curves were made (r<sup>2</sup> total phenolics = 0.9984; r<sup>2</sup> flavonoids = 0.9924; r<sup>2</sup><italic>ortho</italic>-diphenols = 0.9993). The total phenolic and <italic>ortho</italic>-diphenol contents were expressed in mg of gallic acid equivalents per g of fresh weight (mg GAE g<sup>&#x2212;1</sup> of FW), while the flavonoid content was expressed as mg of catechin equivalents per g of fresh weight (mg CAE g<sup>&#x2212;1</sup> of FW).</p>
</sec>
<sec id="s2_6_2">
<label>2.6.2</label>
<title>Antioxidant activity assays</title>
<p>The antioxidant activity was determined using the free radicals ABTS&#x2022;+ (2,2&#x2032;-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid)), DPPH (2,2-diphenyl-1-picrylhydrazyl), and Ferric Reducing Antioxidant Power (FRAP) assay. These three assays were spectrophotometric methods adapted to a microscale, following the methods previously described by Monteiro et&#xa0;al (<xref ref-type="bibr" rid="B24">Monteiro et&#xa0;al., 2024a</xref>). Measurements were performed in triplicate, and specific calibration curves were prepared for each assay (r<sup>2</sup> ABTS = 0.9927; r<sup>2</sup> DPPH = 0.9779; r<sup>2</sup> FRAP = 0.9943). A ninety-six-well microplate reader was used for the analysis. The results were expressed as mg of Trolox per g of fresh weight (mg Trolox g<sup>&#x2212;1</sup> of FW).</p>
</sec>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Statistical analysis</title>
<p>Data was analyzed using SPSS Statistics for Windows (IBM SPSS Statistics for Windows, Version 23.0, IBM Corp., Armonk, NY, USA). Statistical differences between varieties in each phenological stage of each year were evaluated by one-, two-, and three-way ANOVA, followed by Tukey multiple range test (<italic>p&lt;</italic> 0.05). The results were presented as the mean with the respective standard error (SE) using GraphPad Prism version 9.0.0.12 for Windows, GraphPad Software, LLC. Correlation analysis (Pearson&#x2019;s coefficient) was performed to understand how each physiological and biochemical parameter was influenced by variety, year and physiological stage. Principal component analysis (PCA) was carried out to highlight the physiological and biochemical parameters and to discriminate the grapevines distribution, using values normalized into percentages considering the maximum value obtained for each assay/test. Correlation and PCA analyses were performed in GraphPad Prism version 9.0.0.12 for Windows, GraphPad Software, LLC.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Gas exchange measurements</title>
<p>The leaf gas exchange results at morning and midday, in veraison and maturity stages, are presented in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Leaf gas exchange measurements in twelve different varieties (V) of <italic>Vitis vinifera</italic> L. in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024 in the morning and at midday; <italic>E</italic> - transpiration rate (mmol m<sup>-2</sup>s<sup>-1</sup>); <italic>g<sub>s</sub></italic> - stomatal conductance (mmol m<sup>-2</sup>s<sup>-1</sup>); <italic>C<sub>i</sub></italic> - intercellular CO<sub>2</sub> concentration (&#xb5;mol mol<sup>-1</sup>); <italic>A</italic> - net CO<sub>2</sub> assimilation rate (&#xb5;mol m<sup>-2</sup>s<sup>-1</sup>); <italic>A/g<sub>s</sub></italic> - intrinsic water use efficiency (&#xb5;mol mol<sup>-1</sup>); Values are represented as mean &#xb1; SE; Different letters and numbers indicate significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) among varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and year (lowercase &#x2013; 2023; uppercase &#x2013; 2024); Statistical analyses were performed separately for each time of day (morning and midday); ns, not significant.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Y</th>
<th valign="middle" align="left">PS</th>
<th valign="middle" align="left">Period</th>
<th valign="middle" align="left">Variety</th>
<th valign="middle" align="left"><italic>E</italic></th>
<th valign="middle" align="left"><italic>g<sub>s</sub></italic></th>
<th valign="middle" align="left"><italic>C<sub>i</sub></italic></th>
<th valign="middle" align="left"><italic>A</italic></th>
<th valign="middle" align="left"><italic>A/g<sub>s</sub></italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="48" align="left">2023</td>
<td valign="middle" rowspan="24" align="left">Veraison</td>
<td valign="middle" rowspan="12" align="left">Morning</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">2.69 &#xb1; 0.57 ab<sub>1</sub></td>
<td valign="middle" align="left">115.27 &#xb1; 17.48 ab<sub>1</sub></td>
<td valign="middle" align="left">265.74 &#xb1; 6.01 a<sub>1</sub></td>
<td valign="middle" align="left">8.47 &#xb1; 0.84 b-d<sub>1</sub></td>
<td valign="middle" align="left">74.55 &#xb1; 3.82 b<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">2.50 &#xb1; 0.44 ab<sub>1</sub></td>
<td valign="middle" align="left">109.18 &#xb1; 19.96 a-c<sub>1</sub></td>
<td valign="middle" align="left">288.64 &#xb1; 19.68 ab<sub>1</sub></td>
<td valign="middle" align="left">6.43 &#xb1; 0.98 a-c<sub>1</sub></td>
<td valign="middle" align="left">61.50 &#xb1; 9.39 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">3.88 &#xb1; 0.62 ab<sub>1</sub></td>
<td valign="middle" align="left">181.50 &#xb1; 33.47 bc<sub>1</sub></td>
<td valign="middle" align="left">277.61 &#xb1; 6.36 ab<sub>1</sub></td>
<td valign="middle" align="left">11.36 &#xb1; 1.37 d<sub>1</sub></td>
<td valign="middle" align="left">64.64 &#xb1; 5.86 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">3.70 &#xb1; 0.41 ab<sub>1</sub></td>
<td valign="middle" align="left">135.46 &#xb1; 13.89 a-c<sub>1</sub></td>
<td valign="middle" align="left">269.75&#xb1; 11.43 a<sub>1</sub></td>
<td valign="middle" align="left">8.93 &#xb1; 0.99 b-d<sub>1</sub></td>
<td valign="middle" align="left">66.73 &#xb1; 6.63 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">4.29 &#xb1; 0.49 b<sub>1</sub></td>
<td valign="middle" align="left">195.96 &#xb1; 20.31 c<sub>1</sub></td>
<td valign="middle" align="left">275.46 &#xb1; 2.91 a<sub>1</sub></td>
<td valign="middle" align="left">11.82 &#xb1; 0.89 d<sub>1</sub></td>
<td valign="middle" align="left">60.88 &#xb1; 2.49 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">3.29 &#xb1; 0.36 ab<sub>1</sub></td>
<td valign="middle" align="left">117.22 &#xb1; 10.27 a-c<sub>1</sub></td>
<td valign="middle" align="left">271.24 &#xb1; 12.45 a<sub>1</sub></td>
<td valign="middle" align="left">8.15 &#xb1; 0.21 b-d<sub>1</sub></td>
<td valign="middle" align="left">70.33 &#xb1; 4.77 b<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">3.81 &#xb1; 0.24 ab<sub>1</sub></td>
<td valign="middle" align="left">139.85 &#xb1; 20.77 a-c<sub>1</sub></td>
<td valign="middle" align="left">253.64 &#xb1; 15.35 a<sub>1</sub></td>
<td valign="middle" align="left">9.97 &#xb1; 0.78 cd<sub>1</sub></td>
<td valign="middle" align="left">74.66 &#xb1; 8.64 b<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">2.87 &#xb1; 0.30 ab<sub>1</sub></td>
<td valign="middle" align="left">86.30 &#xb1; 14.76 ab<sub>1</sub></td>
<td valign="middle" align="left">296.09 &#xb1; 27.87 ab<sub>1</sub></td>
<td valign="middle" align="left">4.39 &#xb1; 0.77 ab<sub>1</sub></td>
<td valign="middle" align="left">56.12 &#xb1; 15.50 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">4.53 &#xb1; 0.38 b<sub>1</sub></td>
<td valign="middle" align="left">184.72 &#xb1; 21.83 bc<sub>1</sub></td>
<td valign="middle" align="left">263.82 &#xb1; 4.32 a<sub>1</sub></td>
<td valign="middle" align="left">11.99 &#xb1; 1.03 d<sub>1</sub></td>
<td valign="middle" align="left">65.77 &#xb1; 2.73 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">3.08 &#xb1; 0.49 ab<sub>1</sub></td>
<td valign="middle" align="left">95.75 &#xb1; 24.92 ab<sub>1</sub></td>
<td valign="middle" align="left">288.74 &#xb1; 8.66 ab<sub>1</sub></td>
<td valign="middle" align="left">5.36 &#xb1; 0.93 a-c<sub>1</sub></td>
<td valign="middle" align="left">58.89 &#xb1; 5.82 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">3.90 &#xb1; 0.21 ab<sub>1</sub></td>
<td valign="middle" align="left">125.09 &#xb1; 10.82 a-c<sub>1</sub></td>
<td valign="middle" align="left">249.16 &#xb1; 6.22 a<sub>1</sub></td>
<td valign="middle" align="left">9.65 &#xb1; 1.03 cd<sub>1</sub></td>
<td valign="middle" align="left">76.99 &#xb1; 2.88 a<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">1.93 &#xb1; 0.07 a<sub>1</sub></td>
<td valign="middle" align="left">57.71 &#xb1; 4.42 a<sub>1</sub></td>
<td valign="middle" align="left">341.96 &#xb1; 16.96 b<sub>1</sub></td>
<td valign="middle" align="left">1.93 &#xb1; 0.67 a<sub>1</sub></td>
<td valign="middle" align="left">32.32 &#xb1; 10.49 b<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" rowspan="12" align="left">Midday</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">4.75 &#xb1; 1.14 ns</td>
<td valign="middle" align="left">95.40 &#xb1; 21.30 ab<sub>1</sub></td>
<td valign="middle" align="left">159.46 &#xb1; 57.62 ns</td>
<td valign="middle" align="left">10.40 &#xb1; 2.11 ns</td>
<td valign="middle" align="left">118.26 &#xb1; 28.70 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">3.80 &#xb1; 1.05 ns</td>
<td valign="middle" align="left">74.33 &#xb1; 32.03 ab<sub>1</sub></td>
<td valign="middle" align="left">244.41 &#xb1; 25.09 ns</td>
<td valign="middle" align="left">6.11 &#xb1; 3.22 ns</td>
<td valign="middle" align="left">77.86 &#xb1; 13.14 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">7.14 &#xb1; 1.45 ns</td>
<td valign="middle" align="left">160.85 &#xb1; 46.63 b<sub>1</sub></td>
<td valign="middle" align="left">264.93 &#xb1; 31.09 ns</td>
<td valign="middle" align="left">10.62 &#xb1; 4.03 ns</td>
<td valign="middle" align="left">60.62 &#xb1; 15.25 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">2.75 &#xb1; 0.10 ns</td>
<td valign="middle" align="left">48.88 &#xb1; 4.30 ab<sub>1</sub></td>
<td valign="middle" align="left">117.65 &#xb1; 48.10 ns</td>
<td valign="middle" align="left">7.60 &#xb1; 1.83 ns</td>
<td valign="middle" align="left">152.12 &#xb1; 23.47 b<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">5.87 &#xb1; 0.62 ns</td>
<td valign="middle" align="left">115.65 &#xb1; 12.08 ab<sub>1</sub></td>
<td valign="middle" align="left">176.29 &#xb1; 45.40 ns</td>
<td valign="middle" align="left">12.11 &#xb1; 1.67 ns</td>
<td valign="middle" align="left">108.98 &#xb1; 22.53 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">4.87 &#xb1; 0.44 ns</td>
<td valign="middle" align="left">97.63 &#xb1; 10.80 ab<sub>1</sub></td>
<td valign="middle" align="left">202.50 &#xb1; 37.39 ns</td>
<td valign="middle" align="left">9.44 &#xb1; 1.58 ns</td>
<td valign="middle" align="left">98.34 &#xb1; 19.02 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">4.13 &#xb1; 0.85 ns</td>
<td valign="middle" align="left">77.25 &#xb1; 20.83 ab<sub>1</sub></td>
<td valign="middle" align="left">154.31 &#xb1; 26.45 ns</td>
<td valign="middle" align="left">9.54 &#xb1; 2.04 ns</td>
<td valign="middle" align="left">127.67 &#xb1; 15.00 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">4.09 &#xb1; 1.35 ns</td>
<td valign="middle" align="left">66.01 &#xb1; 24.38 ab<sub>1</sub></td>
<td valign="middle" align="left">214.61 &#xb1; 59.16 ns</td>
<td valign="middle" align="left">4.83 &#xb1; 0.33 ns</td>
<td valign="middle" align="left">98.72 &#xb1; 36.17 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">6.16 &#xb1; 0.43 ns</td>
<td valign="middle" align="left">118.64 &#xb1; 11.21 ab<sub>1</sub></td>
<td valign="middle" align="left">225.99 &#xb1; 42.500 ns</td>
<td valign="middle" align="left">10.08 &#xb1; 2.96 ns</td>
<td valign="middle" align="left">83.25 &#xb1; 22.33 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">2.71 &#xb1; 0.97 ns</td>
<td valign="middle" align="left">47.27 &#xb1; 20.06 a<sub>1</sub></td>
<td valign="middle" align="left">175.28 &#xb1; 17.38 ns</td>
<td valign="middle" align="left">5.89 &#xb1; 2.52 ns</td>
<td valign="middle" align="left">120.30 &#xb1; 8.78 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">3.22 &#xb1; 0.76 ns</td>
<td valign="middle" align="left">49.27 &#xb1; 11.93 ab<sub>1</sub></td>
<td valign="middle" align="left">244.10 &#xb1; 28.58 ns</td>
<td valign="middle" align="left">4.18 &#xb1; 1.34 ns</td>
<td valign="middle" align="left">81.78 &#xb1; 16.11 ab<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">4.28 &#xb1; 1.04 ns</td>
<td valign="middle" align="left">61.17 &#xb1; 15.97 ab<sub>1</sub></td>
<td valign="middle" align="left">312.12 &#xb1; 16.62 ns</td>
<td valign="middle" align="left">2.74 &#xb1; 1.21 ns</td>
<td valign="middle" align="left">36.76 &#xb1; 10.15 a<sub>1</sub></td>
</tr>
<tr>
<td valign="middle" rowspan="24" align="left">Maturity</td>
<td valign="middle" rowspan="12" align="left">Morning</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">2.30 &#xb1; 0.37 ns</td>
<td valign="middle" align="left">104.11 &#xb1; 13.26 a-c<sub>2</sub></td>
<td valign="middle" align="left">289.04 &#xb1; 16.46 ab<sub>2</sub></td>
<td valign="middle" align="left">5.94 &#xb1; 0.97 ab<sub>2</sub></td>
<td valign="middle" align="left">58.92 &#xb1; 9.26 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">2.74 &#xb1; 0.21 ns</td>
<td valign="middle" align="left">129.93 &#xb1; 10.57 c<sub>2</sub></td>
<td valign="middle" align="left">287.81 &#xb1; 10.50 ab<sub>2</sub></td>
<td valign="middle" align="left">7.61 &#xb1; 1.21 b<sub>2</sub></td>
<td valign="middle" align="left">57.89 &#xb1; 5.38 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">2.39 &#xb1; 0.29 ns</td>
<td valign="middle" align="left">104.58 &#xb1; 11.87 a-c<sub>2</sub></td>
<td valign="middle" align="left">253.69 &#xb1; 8.58 ab<sub>2</sub></td>
<td valign="middle" align="left">8.03 &#xb1; 0.37 b<sub>2</sub></td>
<td valign="middle" align="left">77.96 &#xb1; 5.32 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">3.16 &#xb1; 0.12 ns</td>
<td valign="middle" align="left">128.42 &#xb1; 5.13 c<sub>2</sub></td>
<td valign="middle" align="left">299.76 &#xb1; 11.34 ab<sub>2</sub></td>
<td valign="middle" align="left">6.64 &#xb1; 0.66 b<sub>2</sub></td>
<td valign="middle" align="left">51.99 &#xb1; 5.88 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">2.74 &#xb1; 0.30 ns</td>
<td valign="middle" align="left">107.95 &#xb1; 4.98 a-c<sub>2</sub></td>
<td valign="middle" align="left">265.25 &#xb1; 9.53 ab<sub>2</sub></td>
<td valign="middle" align="left">7.70 &#xb1; 0.84 b<sub>2</sub></td>
<td valign="middle" align="left">70.76 &#xb1; 4.48 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">3.03 &#xb1; 0.42 ns</td>
<td valign="middle" align="left">119.80 &#xb1; 11.68 bc<sub>2</sub></td>
<td valign="middle" align="left">292.94 &#xb1; 2.89 ab<sub>2</sub></td>
<td valign="middle" align="left">6.59 &#xb1; 0.43 b<sub>2</sub></td>
<td valign="middle" align="left">55.58 &#xb1; 2.47 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">2.90 &#xb1; 0.26 ns</td>
<td valign="middle" align="left">111.23 &#xb1; 8.22 bc<sub>2</sub></td>
<td valign="middle" align="left">261.55 &#xb1; 10.83 ab<sub>2</sub></td>
<td valign="middle" align="left">7.95 &#xb1; 0.56 b<sub>2</sub></td>
<td valign="middle" align="left">72.55 &#xb1; 6.83 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">2.00 &#xb1; 0.32 ns</td>
<td valign="middle" align="left">68.06 &#xb1; 8.76 a-c<sub>2</sub></td>
<td valign="middle" align="left">258.52 &#xb1; 16.66 ab<sub>2</sub></td>
<td valign="middle" align="left">5.45 &#xb1; 1.22 ab<sub>2</sub></td>
<td valign="middle" align="left">78.23 &#xb1; 8.21 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">2.75 &#xb1; 0.63 ns</td>
<td valign="middle" align="left">102.75 &#xb1; 23.46 a-c<sub>2</sub></td>
<td valign="middle" align="left">258.88 &#xb1; 11.10 ab<sub>2</sub></td>
<td valign="middle" align="left">7.31 &#xb1; 1.247 b<sub>2</sub></td>
<td valign="middle" align="left">75.83 &#xb1; 7.94 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">1.89 &#xb1; 0.23 ns</td>
<td valign="middle" align="left">62.41 &#xb1; 11.72 ab<sub>2</sub></td>
<td valign="middle" align="left">295.56 &#xb1; 20.94 ab<sub>2</sub></td>
<td valign="middle" align="left">3.75 &#xb1; 1.35 ab<sub>2</sub></td>
<td valign="middle" align="left">57.90 &#xb1; 11.61 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">2.49 &#xb1; 0.36 ns</td>
<td valign="middle" align="left">90.76 &#xb1; 9.81 a-c<sub>2</sub></td>
<td valign="middle" align="left">234.52 &#xb1; 7.95 a<sub>2</sub></td>
<td valign="middle" align="left">8.04 &#xb1; 0.37 b<sub>2</sub></td>
<td valign="middle" align="left">89.81 &#xb1; 5.83 a<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">1.47 &#xb1; 0.42 ns</td>
<td valign="middle" align="left">43.38 &#xb1; 15.36 a<sub>2</sub></td>
<td valign="middle" align="left">318.73 &#xb1; 22.51 b<sub>2</sub></td>
<td valign="middle" align="left">1.82 &#xb1; 0.65 a<sub>2</sub></td>
<td valign="middle" align="left">44.50 &#xb1; 13.76 b<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" rowspan="12" align="left">Midday</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">3.01 &#xb1; 0.16 a-c<sub>2</sub></td>
<td valign="middle" align="left">68.23 &#xb1; 5.22 ab<sub>2</sub></td>
<td valign="middle" align="left">200.87 &#xb1; 19.46 ab<sub>2</sub></td>
<td valign="middle" align="left">7.293 &#xb1; 0.91 ns</td>
<td valign="middle" align="left">106.85 &#xb1; 11.35 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">1.64 &#xb1; 0.19 ab<sub>2</sub></td>
<td valign="middle" align="left">39.17 &#xb1; 2.87 ab<sub>2</sub></td>
<td valign="middle" align="left">112.86 &#xb1; 35.30 a<sub>2</sub></td>
<td valign="middle" align="left">6.43 &#xb1; 0.93 ns</td>
<td valign="middle" align="left">164.50 &#xb1; 21.08 b<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">3.71 &#xb1; 0.76 a-c<sub>2</sub></td>
<td valign="middle" align="left">93.84 &#xb1; 21.46 b<sub>2</sub></td>
<td valign="middle" align="left">213.37 &#xb1; 29.20 ab<sub>2</sub></td>
<td valign="middle" align="left">8.28 &#xb1; 1.45 ns</td>
<td valign="middle" align="left">97.25 &#xb1; 16.77 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">3.22 &#xb1; 0.38 a-c<sub>2</sub></td>
<td valign="middle" align="left">76.82 &#xb1; 7.82 ab<sub>2</sub></td>
<td valign="middle" align="left">196.53 &#xb1; 21.72 ab<sub>2</sub></td>
<td valign="middle" align="left">8.14 &#xb1; 0.92 ns</td>
<td valign="middle" align="left">107.27 &#xb1; 11.93 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">3.60 &#xb1; 0.32 a-c<sub>2</sub></td>
<td valign="middle" align="left">77.79 &#xb1; 4.74 ab<sub>2</sub></td>
<td valign="middle" align="left">242.84 &#xb1; 38.18 ab<sub>2</sub></td>
<td valign="middle" align="left">6.21 &#xb1; 1.54 ns</td>
<td valign="middle" align="left">81.78 &#xb1; 21.86 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">3.22 &#xb1; 0.27 a-c<sub>2</sub></td>
<td valign="middle" align="left">74.74 &#xb1; 4.88 ab<sub>2</sub></td>
<td valign="middle" align="left">221.36 &#xb1; 33.50 ab<sub>2</sub></td>
<td valign="middle" align="left">6.85 &#xb1; 0.95 ns</td>
<td valign="middle" align="left">93.87 &#xb1; 18.14 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">4.11 &#xb1; 0.47 bc<sub>2</sub></td>
<td valign="middle" align="left">94.49 &#xb1; 5.36 b<sub>2</sub></td>
<td valign="middle" align="left">229.64 &#xb1; 35.90 ab<sub>2</sub></td>
<td valign="middle" align="left">7.07 &#xb1; 1.60 ns</td>
<td valign="middle" align="left">87.28 &#xb1; 19.79 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">4.40 &#xb1; 0.51 c<sub>2</sub></td>
<td valign="middle" align="left">101.47 &#xb1; 14.87 b<sub>2</sub></td>
<td valign="middle" align="left">238.15 &#xb1; 24.92 ab<sub>2</sub></td>
<td valign="middle" align="left">7.71 &#xb1; 0.35 ns</td>
<td valign="middle" align="left">82.61 &#xb1; 15.536 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">4.00 &#xb1; 0.60 a-c<sub>2</sub></td>
<td valign="middle" align="left">92.70 &#xb1; 15.21 b<sub>2</sub></td>
<td valign="middle" align="left">219.26 &#xb1; 22.99 ab<sub>2</sub></td>
<td valign="middle" align="left">9.43 &#xb1; 1.40 ns</td>
<td valign="middle" align="left">93.59 &#xb1; 13.94 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">2.86 &#xb1; 0.48 a-c<sub>2</sub></td>
<td valign="middle" align="left">65.74 &#xb1; 16.43 ab<sub>2</sub></td>
<td valign="middle" align="left">214.80 &#xb1; 12.75 ab<sub>2</sub></td>
<td valign="middle" align="left">6.64 &#xb1; 1.93 ns</td>
<td valign="middle" align="left">98.07 &#xb1; 6.13 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">1.57 &#xb1; 0.33 a<sub>2</sub></td>
<td valign="middle" align="left">27.86 &#xb1; 5.07 a<sub>2</sub></td>
<td valign="middle" align="left">141.91 &#xb1; 56.65 ab<sub>2</sub></td>
<td valign="middle" align="left">3.75 &#xb1; 0.29 ns</td>
<td valign="middle" align="left">147.46 &#xb1; 35.98 ab<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">2.75 &#xb1; 0.53 a-c<sub>2</sub></td>
<td valign="middle" align="left">51.68 &#xb1; 11.89 ab<sub>2</sub></td>
<td valign="middle" align="left">289.47 &#xb1; 20.15 b<sub>2</sub></td>
<td valign="middle" align="left">3.11 &#xb1; 1.21 ns</td>
<td valign="middle" align="left">54.72 &#xb1; 11.93 a<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" rowspan="48" align="left">2024</td>
<td valign="middle" rowspan="24" align="left">Veraison</td>
<td valign="middle" rowspan="12" align="left">Morning</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">3.02 &#xb1; 1.15 ns</td>
<td valign="middle" align="left">113.954 &#xb1; 27.38 ns</td>
<td valign="middle" align="left">277.32 &#xb1; 3.89 ns</td>
<td valign="middle" align="left">8.04 &#xb1; 1.45 AB<sub>1</sub></td>
<td valign="middle" align="left">73.71 &#xb1; 6.55 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">3.83 &#xb1; 0.46 ns</td>
<td valign="middle" align="left">138.97 &#xb1; 35.30 ns</td>
<td valign="middle" align="left">263.45 &#xb1; 5.75 ns</td>
<td valign="middle" align="left">10.30 &#xb1; 2.286 B<sub>1</sub></td>
<td valign="middle" align="left">75.68 &#xb1; 4.65 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">4.36 &#xb1; 0.76 ns</td>
<td valign="middle" align="left">142.59 &#xb1; 10.11 ns</td>
<td valign="middle" align="left">278.97 &#xb1; 14.70 ns</td>
<td valign="middle" align="left">9.53 &#xb1; 0.95 B<sub>1</sub></td>
<td valign="middle" align="left">67.56 &#xb1; 8.32 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">1.88 &#xb1; 0.44 ns</td>
<td valign="middle" align="left">45.13 &#xb1; 4.19 ns</td>
<td valign="middle" align="left">293.61 &#xb1; 12.01 ns</td>
<td valign="middle" align="left">3.00 &#xb1; 0.11 A<sub>1</sub></td>
<td valign="middle" align="left">68.23 &#xb1; 9.31 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">2.74 &#xb1; 0.18 ns</td>
<td valign="middle" align="left">90.01 &#xb1; 18.46 ns</td>
<td valign="middle" align="left">253.96 &#xb1; 9.25 ns</td>
<td valign="middle" align="left">7.47 &#xb1; 1.09 AB<sub>1</sub></td>
<td valign="middle" align="left">86.72 &#xb1; 6.17 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">3.16 &#xb1; 0.35 ns</td>
<td valign="middle" align="left">103.12 &#xb1; 19.64 ns</td>
<td valign="middle" align="left">245.38 &#xb1; 14.30 ns</td>
<td valign="middle" align="left">9.33 &#xb1; 2.37 B<sub>1</sub></td>
<td valign="middle" align="left">88.30 &#xb1; 5.59 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">2.10 &#xb1; 0.57 ns</td>
<td valign="middle" align="left">49.37 &#xb1; 8.35 ns</td>
<td valign="middle" align="left">243.80 &#xb1; 4.73 ns</td>
<td valign="middle" align="left">4.72 &#xb1; 0.71 AB<sub>1</sub></td>
<td valign="middle" align="left">96.20 &#xb1; 2.66 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">2.85 &#xb1; 0.23 ns</td>
<td valign="middle" align="left">90.85 &#xb1; 30.54 ns</td>
<td valign="middle" align="left">253.60 &#xb1; 26.88 ns</td>
<td valign="middle" align="left">6.97 &#xb1; 0.70 AB<sub>1</sub></td>
<td valign="middle" align="left">87.61 &#xb1; 16.30 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">2.69 &#xb1; 0.99 ns</td>
<td valign="middle" align="left">64.24 &#xb1; 20.53 ns</td>
<td valign="middle" align="left">241.13 &#xb1; 26.24 ns</td>
<td valign="middle" align="left">5.58 &#xb1; 0.92 AB<sub>1</sub></td>
<td valign="middle" align="left">97.28 &#xb1; 18.62 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">2.68 &#xb1; 0.23 ns</td>
<td valign="middle" align="left">59.29 &#xb1; 5.33 ns</td>
<td valign="middle" align="left">265.71 &#xb1; 17.31 ns</td>
<td valign="middle" align="left">4.83 &#xb1; 0.98 AB<sub>1</sub></td>
<td valign="middle" align="left">79.77 &#xb1; 10.92 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">3.65 &#xb1; 0.73 ns</td>
<td valign="middle" align="left">87.20 &#xb1; 14.30 ns</td>
<td valign="middle" align="left">246.38 &#xb1; 20.85 ns</td>
<td valign="middle" align="left">7.50 &#xb1; 0.11 AB<sub>1</sub></td>
<td valign="middle" align="left">90.52 &#xb1; 13.96 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">2.87 &#xb1; 0.55 ns</td>
<td valign="middle" align="left">66.95 &#xb1; 12.42 ns</td>
<td valign="middle" align="left">271.16 &#xb1; 17.81 ns</td>
<td valign="middle" align="left">5.04 &#xb1; 0.70 AB<sub>1</sub></td>
<td valign="middle" align="left">77.76 &#xb1; 9.79 ns</td>
</tr>
<tr>
<td valign="middle" rowspan="12" align="left">Midday</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">2.35 &#xb1; 0.66 ns</td>
<td valign="middle" align="left">57.91 &#xb1; 17.59 ns</td>
<td valign="middle" align="left">201.42 &#xb1; 1.93 ns</td>
<td valign="middle" align="left">6.64 &#xb1; 1.89 AB<sub>1</sub></td>
<td valign="middle" align="left">116.63 &#xb1; 3.74 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">4.00 &#xb1; 0.43 ns</td>
<td valign="middle" align="left">128.54 &#xb1; 22.74 ns</td>
<td valign="middle" align="left">262.27 &#xb1; 11.24 ns</td>
<td valign="middle" align="left">9.75 &#xb1; 2.20 AB<sub>1</sub></td>
<td valign="middle" align="left">74.72 &#xb1; 3.45 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">3.08 &#xb1; 0.83 ns</td>
<td valign="middle" align="left">81.46 &#xb1; 31.31 ns</td>
<td valign="middle" align="left">191.74 &#xb1; 29.64 ns</td>
<td valign="middle" align="left">8.47 &#xb1; 1.50 AB<sub>1</sub></td>
<td valign="middle" align="left">119.83 &#xb1; 20.67 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">3.51 &#xb1; 0.80 ns</td>
<td valign="middle" align="left">102.70 &#xb1; 31.53 ns</td>
<td valign="middle" align="left">278.61 &#xb1; 7.73 ns</td>
<td valign="middle" align="left">7.08 &#xb1; 2.25 AB<sub>1</sub></td>
<td valign="middle" align="left">67.99 &#xb1; 1.83 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">2.15 &#xb1; 0.52 ns</td>
<td valign="middle" align="left">50.36 &#xb1; 14.81 ns</td>
<td valign="middle" align="left">245.29 &#xb1; 24.41 ns</td>
<td valign="middle" align="left">4.29 &#xb1; 0.70 A<sub>1</sub></td>
<td valign="middle" align="left">92.30 &#xb1; 15.78 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">4.16 &#xb1; 0.56 ns</td>
<td valign="middle" align="left">135.10 &#xb1; 27.69 ns</td>
<td valign="middle" align="left">267.13 &#xb1; 13.92 ns</td>
<td valign="middle" align="left">9.44 &#xb1; 1.50 AB<sub>1</sub></td>
<td valign="middle" align="left">72.88 &#xb1; 9.15 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">2.45 &#xb1; 0.88 ns</td>
<td valign="middle" align="left">55.51 &#xb1; 21.40 ns</td>
<td valign="middle" align="left">215.73 &#xb1; 48.93 ns</td>
<td valign="middle" align="left">4.83 &#xb1; 0.74 AB<sub>1</sub></td>
<td valign="middle" align="left">110.51 &#xb1; 32.65 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">4.15 &#xb1; 0.77 ns</td>
<td valign="middle" align="left">146.25 &#xb1; 34.81 ns</td>
<td valign="middle" align="left">190.92 &#xb1; 41.84 ns</td>
<td valign="middle" align="left">13.84 &#xb1; 0.18 B<sub>1</sub></td>
<td valign="middle" align="left">109.01 &#xb1; 25.95 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">2.88 &#xb1; 0.26 ns</td>
<td valign="middle" align="left">77.09 &#xb1; 11.06 ns</td>
<td valign="middle" align="left">203.40 &#xb1; 34.906 ns</td>
<td valign="middle" align="left">8.98 &#xb1; 2.60 AB<sub>1</sub></td>
<td valign="middle" align="left">111.62 &#xb1; 17.39 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">2.63 &#xb1; 0.12 ns</td>
<td valign="middle" align="left">61.87 &#xb1; 3.24 ns</td>
<td valign="middle" align="left">192.51 &#xb1; 46.36 ns</td>
<td valign="middle" align="left">7.30 &#xb1; 1.18 AB<sub>1</sub></td>
<td valign="middle" align="left">120.77 &#xb1; 26.83 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">2.16 &#xb1; 0.17 ns</td>
<td valign="middle" align="left">50.70 &#xb1; 3.55 ns</td>
<td valign="middle" align="left">222.96 &#xb1; 4.85 ns</td>
<td valign="middle" align="left">5.35 &#xb1; 0.47 AB<sub>1</sub></td>
<td valign="middle" align="left">105.30 &#xb1; 2.02 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">2.25 &#xb1; 0.44 ns</td>
<td valign="middle" align="left">58.48 &#xb1; 16.76 ns</td>
<td valign="middle" align="left">204.42 &#xb1; 25.37 ns</td>
<td valign="middle" align="left">7.15 &#xb1; 2.56 AB<sub>1</sub></td>
<td valign="middle" align="left">112.63 &#xb1; 13.02 ns</td>
</tr>
<tr>
<td valign="middle" rowspan="24" align="left">Maturity</td>
<td valign="middle" rowspan="12" align="left">Morning</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">1.63 &#xb1; 0.47 ns</td>
<td valign="middle" align="left">69.14 &#xb1; 13.17 A<sub>2</sub></td>
<td valign="middle" align="left">238.68 &#xb1; 11.87 ns</td>
<td valign="middle" align="left">6.28 &#xb1; 0.75 AB<sub>2</sub></td>
<td valign="middle" align="left">94.93 &#xb1; 8.27 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">2.80 &#xb1; 0.44 ns</td>
<td valign="middle" align="left">124.42 &#xb1; 16.40 B<sub>2</sub></td>
<td valign="middle" align="left">256.43 &#xb1; 1.35 ns</td>
<td valign="middle" align="left">9.64 &#xb1; 1.11 B<sub>2</sub></td>
<td valign="middle" align="left">77.86 &#xb1; 1.64 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">2.03 &#xb1; 0.31 ns</td>
<td valign="middle" align="left">82.31 &#xb1; 13.63 AB<sub>2</sub></td>
<td valign="middle" align="left">233.89 &#xb1; 12.06 ns</td>
<td valign="middle" align="left">7.61 &#xb1; 0.84 AB<sub>2</sub></td>
<td valign="middle" align="left">95.01 &#xb1; 8.61 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">1.84 &#xb1; 0.20 ns</td>
<td valign="middle" align="left">93.07 &#xb1; 9.07 AB<sub>2</sub></td>
<td valign="middle" align="left">268.823 &#xb1; 7.38 ns</td>
<td valign="middle" align="left">7.09 &#xb1; 0.94 AB<sub>2</sub></td>
<td valign="middle" align="left">75.63 &#xb1; 2.77 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">2.18 &#xb1; 0.39 ns</td>
<td valign="middle" align="left">90.46 &#xb1; 2.05 AB<sub>2</sub></td>
<td valign="middle" align="left">238.01 &#xb1; 24.82 ns</td>
<td valign="middle" align="left">8.26 &#xb1; 1.08 AB<sub>2</sub></td>
<td valign="middle" align="left">91.85 &#xb1; 13.50 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">1.18 &#xb1; 0.16 ns</td>
<td valign="middle" align="left">52.77 &#xb1; 8.21 A<sub>2</sub></td>
<td valign="middle" align="left">240.08 &#xb1; 31.11 ns</td>
<td valign="middle" align="left">4.82 &#xb1; 0.32 A<sub>2</sub></td>
<td valign="middle" align="left">97.35 &#xb1; 19.21 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">1.20 &#xb1; 0.29 ns</td>
<td valign="middle" align="left">53.14 &#xb1; 9.45 A<sub>2</sub></td>
<td valign="middle" align="left">243.11 &#xb1; 9.09 ns</td>
<td valign="middle" align="left">5.03 &#xb1; 0.88 A<sub>2</sub></td>
<td valign="middle" align="left">95.02 &#xb1; 4.99 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">1.57 &#xb1; 0.27 ns</td>
<td valign="middle" align="left">75.27 &#xb1; 5.71 AB<sub>2</sub></td>
<td valign="middle" align="left">216.38 &#xb1; 8.85 ns</td>
<td valign="middle" align="left">8.04 &#xb1; 0.85 AB<sub>2</sub></td>
<td valign="middle" align="left">106.31 &#xb1; 3.58 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">1.47 &#xb1; 0.31 ns</td>
<td valign="middle" align="left">56.60 &#xb1; 4.98 A<sub>2</sub></td>
<td valign="middle" align="left">217.63 &#xb1; 10.52 ns</td>
<td valign="middle" align="left">6.11 &#xb1; 0.54 AB<sub>2</sub></td>
<td valign="middle" align="left">108.31 &#xb1; 6.30 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">1.45 &#xb1; 0.05 ns</td>
<td valign="middle" align="left">69.83 &#xb1; 9.75 A<sub>2</sub></td>
<td valign="middle" align="left">237.62 &#xb1; 8.96 ns</td>
<td valign="middle" align="left">6.54 &#xb1; 0.56 AB<sub>2</sub></td>
<td valign="middle" align="left">95.25 &#xb1; 5.76 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">2.17 &#xb1; 0.41 ns</td>
<td valign="middle" align="left">84.79 &#xb1; 8.83 AB<sub>2</sub></td>
<td valign="middle" align="left">238.09 &#xb1; 8.37 ns</td>
<td valign="middle" align="left">7.73 &#xb1; 0.32 AB<sub>2</sub></td>
<td valign="middle" align="left">92.28 &#xb1; 5.66 ns</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">1.46 &#xb1; 0.32 ns</td>
<td valign="middle" align="left">57.44 &#xb1; 7.84 A<sub>2</sub></td>
<td valign="middle" align="left">274.10 &#xb1; 23.70 ns</td>
<td valign="middle" align="left">4.58 &#xb1; 1.27 A<sub>2</sub></td>
<td valign="middle" align="left">75.54 &#xb1; 13.02 ns</td>
</tr>
<tr>
<td valign="middle" rowspan="12" align="left">Midday</td>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">2.23 &#xb1; 0.55 AB<sub>2</sub></td>
<td valign="middle" align="left">69.36 &#xb1; 15.49 AB<sub>2</sub></td>
<td valign="middle" align="left">234.20 &#xb1; 22.78 AB<sub>2</sub></td>
<td valign="middle" align="left">6.00 &#xb1; 0.60 A-C<sub>2</sub></td>
<td valign="middle" align="left">92.43 &#xb1; 13.16 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">3.49 &#xb1; 0.54 B<sub>2</sub></td>
<td valign="middle" align="left">122.51 &#xb1; 13.65 B<sub>2</sub></td>
<td valign="middle" align="left">269.51 &#xb1; 26.60 AB<sub>2</sub></td>
<td valign="middle" align="left">8.26 &#xb1; 1.56 BC<sub>2</sub></td>
<td valign="middle" align="left">67.80 &#xb1; 12.76 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">2.66 &#xb1; 0.41 AB<sub>2</sub></td>
<td valign="middle" align="left">83.00 &#xb1; 13.11 AB<sub>2</sub></td>
<td valign="middle" align="left">228.03 &#xb1; 24.11 AB<sub>2</sub></td>
<td valign="middle" align="left">7.32 &#xb1; 0.48 A-C<sub>2</sub></td>
<td valign="middle" align="left">94.96 &#xb1; 14.47 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">2.37 &#xb1; 0.18 AB<sub>2</sub></td>
<td valign="middle" align="left">62.18 &#xb1; 8.61 A<sub>2</sub></td>
<td valign="middle" align="left">240.77 &#xb1; 15.80 AB<sub>2</sub></td>
<td valign="middle" align="left">5.48 &#xb1; 0.49 A-C<sub>2</sub></td>
<td valign="middle" align="left">89.96 &#xb1; 9.44 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">1.68 &#xb1; 0.10 AB<sub>2</sub></td>
<td valign="middle" align="left">45.38 &#xb1; 3.59 A<sub>2</sub></td>
<td valign="middle" align="left">172.82 &#xb1; 18.79 A<sub>2</sub></td>
<td valign="middle" align="left">6.00 &#xb1; 0.84 A-C<sub>2</sub></td>
<td valign="middle" align="left">131.20 &#xb1; 9.963 B<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">2.39 &#xb1; 0.68 AB<sub>2</sub></td>
<td valign="middle" align="left">67.98 &#xb1; 21.63 AB<sub>2</sub></td>
<td valign="middle" align="left">280.56 &#xb1; 33.16 B<sub>2</sub></td>
<td valign="middle" align="left">3.86 &#xb1; 0.81 AB<sub>2</sub></td>
<td valign="middle" align="left">68.54 &#xb1; 20.86 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">2.54 &#xb1; 0.23 AB<sub>2</sub></td>
<td valign="middle" align="left">67.23 &#xb1; 5.48 AB<sub>2</sub></td>
<td valign="middle" align="left">242.49 &#xb1; 4.25 AB<sub>2</sub></td>
<td valign="middle" align="left">5.90 &#xb1; 0.43 A-C<sub>2</sub></td>
<td valign="middle" align="left">87.86 &#xb1; 1.94 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">2.77 &#xb1; 0.13 AB<sub>2</sub></td>
<td valign="middle" align="left">75.96 &#xb1; 9.65 AB<sub>2</sub></td>
<td valign="middle" align="left">206.23 &#xb1; 9.83 AB<sub>2</sub></td>
<td valign="middle" align="left">8.12 &#xb1; 1.10 BC<sub>2</sub></td>
<td valign="middle" align="left">107.14 &#xb1; 4.73 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">1.92 &#xb1; 0.20 AB<sub>2</sub></td>
<td valign="middle" align="left">48.44 &#xb1; 2.90 A<sub>2</sub></td>
<td valign="middle" align="left">215.17 &#xb1; 19.91 AB<sub>2</sub></td>
<td valign="middle" align="left">5.04 &#xb1; 0.28 A-C<sub>2</sub></td>
<td valign="middle" align="left">105.59 &#xb1; 12.14 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">2.37 &#xb1; 0.11 AB<sub>2</sub></td>
<td valign="middle" align="left">66.91 &#xb1; 7.39 AB<sub>2</sub></td>
<td valign="middle" align="left">232.17 &#xb1; 16.59 AB<sub>2</sub></td>
<td valign="middle" align="left">6.33 &#xb1; 0.95 A-C<sub>2</sub></td>
<td valign="middle" align="left">94.30 &#xb1; 9.70 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">3.01 &#xb1; 0.41 AB<sub>2</sub></td>
<td valign="middle" align="left">80.12 &#xb1; 14.95 AB<sub>2</sub></td>
<td valign="middle" align="left">198.81 &#xb1; 13.55 AB<sub>2</sub></td>
<td valign="middle" align="left">8.68 &#xb1; 1.28 C<sub>2</sub></td>
<td valign="middle" align="left">110.35 &#xb1; 8.23 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">1.44 &#xb1; 0.17 A<sub>2</sub></td>
<td valign="middle" align="left">33.93 &#xb1; 6.96 A<sub>2</sub></td>
<td valign="middle" align="left">225.66 &#xb1; 5.32 AB<sub>2</sub></td>
<td valign="middle" align="left">3.43 &#xb1; 0.70 A<sub>2</sub></td>
<td valign="middle" align="left">101.13 &#xb1; 3.10 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" rowspan="7" colspan="3" align="left">Morning</td>
<td valign="middle" align="left"><italic>p</italic> value (V)</td>
<td valign="middle" align="center">0.060</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (PS)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.060</td>
<td valign="middle" align="center">0.039</td>
<td valign="middle" align="center">0.058</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.066</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS)</td>
<td valign="middle" align="center">0.082</td>
<td valign="middle" align="center">0.059</td>
<td valign="middle" align="center">0.189</td>
<td valign="middle" align="center">0.153</td>
<td valign="middle" align="center">0.103</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; Y)</td>
<td valign="middle" align="center">0.061</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">0.183</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.314</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y &#xd7; PS)</td>
<td valign="middle" align="center">0.350</td>
<td valign="middle" align="center">0.095</td>
<td valign="middle" align="center">0.250</td>
<td valign="middle" align="center">0.072</td>
<td valign="middle" align="center">0.471</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS &#xd7; Y)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.017</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" rowspan="7" colspan="3" align="left">Midday</td>
<td valign="middle" align="left"><italic>p</italic> value (V)</td>
<td valign="middle" align="center">0.013</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.265</td>
<td valign="middle" align="center">0.006</td>
<td valign="middle" align="center">0.241</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (PS)</td>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center">0.280</td>
<td valign="middle" align="center">0.494</td>
<td valign="middle" align="center">0.083</td>
<td valign="middle" align="center">0.681</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.703</td>
<td valign="middle" align="center">0.071</td>
<td valign="middle" align="center">0.491</td>
<td valign="middle" align="center">0.713</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS)</td>
<td valign="middle" align="center">0.320</td>
<td valign="middle" align="center">0.226</td>
<td valign="middle" align="center">0.346</td>
<td valign="middle" align="center">0.320</td>
<td valign="middle" align="center">0.324</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; Y)</td>
<td valign="middle" align="center">0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.014</td>
<td valign="middle" align="center">0.012</td>
<td valign="middle" align="center">0.009</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y &#xd7; PS)</td>
<td valign="middle" align="center">0.116</td>
<td valign="middle" align="center">0.947</td>
<td valign="middle" align="center">0.807</td>
<td valign="middle" align="center">0.779</td>
<td valign="middle" align="center">0.385</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS &#xd7; Y)</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.003</td>
<td valign="middle" align="center">0.013</td>
<td valign="middle" align="center">0.002</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Transpiration rate (<italic>E</italic>) varied from 1.18 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Trincadeira&#x2019; (maturity, 2024) to 4.53 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Alicante Bouschet&#x2019; (veraison, 2023) in the morning and 1.44 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (maturity, 2024) to 7.14 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Tinta Roriz&#x2019; (veraison, 2023) in midday. In the morning period, significant differences (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) were observed for year (<italic>p&lt;</italic> 0.001) and phenological stage (<italic>p&lt;</italic> 0.001) and by the interaction of year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001), but not for variety. During the midday period, significant differences (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>) were detected for year (<italic>p&lt;</italic> 0.001), phenological stage (<italic>p&lt;</italic> 0.01), variety (<italic>p&lt;</italic> 0.05), for the interaction variety &#xd7; year (<italic>p&lt;</italic> 0.01), and for the interaction variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.001). <italic>E</italic> decreased from veraison to maturity in both years in all varieties except for &#x2018;Touriga Franca&#x2019; in 2023. Significant differences between varieties were found in the morning results in veraison of 2023, and in the midday results in maturity of both years.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Total leaf soluble sugars in twelve different varieties of <italic>Vitis vinifera</italic> in the phenological stages of veraison and maturity in the years 2023 and 2024.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variety</th>
<th valign="middle" colspan="4" align="center">Leaf soluble sugars (mg g<sup>-1</sup> FW)</th>
</tr>
<tr>
<th valign="middle" align="center">Veraison 2023</th>
<th valign="middle" align="center">Maturity 2023</th>
<th valign="middle" align="center">Veraison 2024</th>
<th valign="middle" align="center">Maturity 2024</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">29.65 &#xb1; 0.57 ns</td>
<td valign="middle" align="left">36.37&#xb1; 1.18 b-d<sub>2</sub></td>
<td valign="middle" align="left">16.35 &#xb1; 0.80 A<sub>1</sub></td>
<td valign="middle" align="left">33.15 &#xb1; 2.32 A-C<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">37.17 &#xb1; 2.92 ns</td>
<td valign="middle" align="left">32.98 &#xb1; 1.16 a-d<sub>2</sub></td>
<td valign="middle" align="left">22.56 &#xb1; 2.26 AB<sub>1</sub></td>
<td valign="middle" align="left">29.04 &#xb1; 1.48 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">34.02 &#xb1; 0.53 ns</td>
<td valign="middle" align="left">32.16 &#xb1; 1.16 a-c<sub>2</sub></td>
<td valign="middle" align="left">21.26 &#xb1; 1.51 AB<sub>1</sub></td>
<td valign="middle" align="left">28.90 &#xb1; 1.74 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">27.03 &#xb1; 2.44 ns</td>
<td valign="middle" align="left">27.02 &#xb1; 1.36 a<sub>2</sub></td>
<td valign="middle" align="left">26.43 &#xb1; 1.10 BC<sub>1</sub></td>
<td valign="middle" align="left">28.38 &#xb1; 1.77 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">27.92 &#xb1; 2.20 ns</td>
<td valign="middle" align="left">33.61 &#xb1; 2.31 a-d<sub>2</sub></td>
<td valign="middle" align="left">22.39 &#xb1; 1.10 AB<sub>1</sub></td>
<td valign="middle" align="left">30.28 &#xb1; 2.21 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">29.17 &#xb1; 1.70 ns</td>
<td valign="middle" align="left">31.72 &#xb1; 1.69 a-c<sub>2</sub></td>
<td valign="middle" align="left">21.40 &#xb1; 1.47 AB<sub>1</sub></td>
<td valign="middle" align="left">32.91 &#xb1; 1.88 A-C<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">24.81 &#xb1; 1.54 ns</td>
<td valign="middle" align="left">29.12 &#xb1; 2.45 ab<sub>2</sub></td>
<td valign="middle" align="left">20.98 &#xb1; 1.64 AB<sub>1</sub></td>
<td valign="middle" align="left">28.14 &#xb1; 0.44 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">39.65 &#xb1; 2.32 ns</td>
<td valign="middle" align="left">35.55 &#xb1; 1.13 b-d<sub>2</sub></td>
<td valign="middle" align="left">28.19 &#xb1; 2.13 BC<sub>1</sub></td>
<td valign="middle" align="left">32.40 &#xb1; 3.22 A-C<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">31.18 &#xb1; 1.11 ns</td>
<td valign="middle" align="left">33.71 &#xb1; 0.76 a-d<sub>2</sub></td>
<td valign="middle" align="left">20.77 &#xb1; 0.40 AB<sub>1</sub></td>
<td valign="middle" align="left">25.50 &#xb1; 0.35 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">45.09 &#xb1; 1.21 ns</td>
<td valign="middle" align="left">38.11 &#xb1; 2.35 cd<sub>2</sub></td>
<td valign="middle" align="left">33.68 &#xb1; 1.23 C<sub>1</sub></td>
<td valign="middle" align="left">37.83 &#xb1; 2.19 BC<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">38.01 &#xb1; 2.88 ns</td>
<td valign="middle" align="left">30.95 &#xb1; 1.57 a-c<sub>2</sub></td>
<td valign="middle" align="left">25.71 &#xb1; 3.12 BC<sub>1</sub></td>
<td valign="middle" align="left">36.47 &#xb1; 2.15 BC<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">43.87 &#xb1; 1.33 ns</td>
<td valign="middle" align="left">40.51 &#xb1; 1.72 d<sub>2</sub></td>
<td valign="middle" align="left">21.28 &#xb1; 2.66 AB<sub>1</sub></td>
<td valign="middle" align="left">42.22 &#xb1; 2.11 C<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (PS)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS)</td>
<td valign="middle" colspan="4" align="center">0.054</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; Y)</td>
<td valign="middle" colspan="4" align="center">0.229</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y &#xd7; PS)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS &#xd7; Y)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Stomatal conductance (<italic>g<sub>s</sub></italic>) varied between 43.38 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (maturity, 2024) and 195.96 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Tinta Barroca&#x2019; (veraison, 2023) in the morning and 27.86 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Malvasia Preta&#x2019; (maturity, 2023) and 160.85 mmol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Tinta Roriz&#x2019; (veraison, 2023) at midday. In the morning, <italic>g<sub>s</sub></italic> was significantly influenced (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) by the year (<italic>p&lt;</italic> 0.001), the phenological stage (<italic>p&lt;</italic> 0.01), the variety (<italic>p&lt;</italic> 0.001), and by the interactions variety &#xd7; year (<italic>p&lt;</italic> 0.01) and variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.001). At midday, significant effects were observed only for the variety (<italic>p&lt;</italic> 0.001) and the interactions variety &#xd7; year (<italic>p&lt;</italic> 0.001) and variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.001). In general, <italic>g<sub>s</sub></italic> decreased from veraison to maturity and from morning to midday. The only varieties that behaved differently were &#x2018;Touriga Franca&#x2019; and &#x2018;Trincadeira&#x2019; which suffered an increase of <italic>g<sub>s</sub></italic> from veraison to maturity in 2023 and &#x2018;Tinto C&#xe3;o&#x2019;, &#x2018;Vinh&#xe3;o&#x2019;, and &#x2018;Touriga F&#xea;mea&#x2019; in 2024. Significant statistical differences were found between varieties in the two years and phenological stages, in both morning and midday periods, apart from veraison 2024 in either period.</p>
<p>Intercellular CO<sub>2</sub> concentration (<italic>C<sub>i</sub></italic>) varied between 216.38 &#xb5;mol mol<sup>-1</sup> in &#x2018;Donzelinho Tinto&#x2019; (maturity, 2024) and 341.96 &#xb5;mol mol<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (veraison, 2023) in the morning and 112.86 &#xb5;mol mol<sup>-1</sup> in &#x2018;Touriga Franca&#x2019; (maturity, 2023) and 312.12 &#xb5;mol mol<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (veraison, 2023) at midday. <italic>C<sub>i</sub></italic> showed interference of the year (<italic>p&lt;</italic> 0.001) and the variety (<italic>p&lt;</italic> 0.001) in the morning period, of the interaction variety &#xd7; year (<italic>p&lt;</italic> 0.05) at midday and of the interaction variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.05) in both day periods (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). In general, <italic>C<sub>i</sub></italic> decreased from veraison to maturity in both years and from morning measurements to midday measurements. In 2023, &#x2018;Touriga Nacional&#x2019;, &#x2018;Tinto C&#xe3;o&#x2019;, &#x2018;Trincadeira&#x2019;, Vinh&#xe3;o&#x2019;, and &#x2018;Touriga F&#xea;mea&#x2019; and in 2024 &#x2018;Mourisco de Semente&#x2019; did not follow the pattern of the other varieties, therefore, increasing <italic>C<sub>i</sub></italic> from veraison to maturity. Significant statistical differences between varieties at both phenological stages were found in the morning in the year 2023 and in maturity of both years at midday.</p>
<p>Net CO<sub>2</sub> assimilation rate (<italic>A</italic>) varied between 1.82 &#xb5;mol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (maturity, 2023) and 11.99 &#xb5;mol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Alicante Bouschet&#x2019; (veraison, 2023) in the morning and 2.74 &#xb5;mol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (veraison, 2023) and 13.84 &#xb5;mol m<sup>-2</sup>s<sup>-1</sup> in &#x2018;Donzelinho Tinto&#x2019; (veraison, 2024) at midday. <italic>A</italic> was influenced by the phenological stage (<italic>p&lt;</italic> 0.05), by the variety (<italic>p&lt;</italic> 0.001), and by the interactions variety &#xd7; year (<italic>p&lt;</italic> 0.001) and variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.001) in the morning. At midday, results were influenced by the variety (<italic>p&lt;</italic> 0.01), and by the interactions variety &#xd7; year (<italic>p&lt;</italic> 0.05), and variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.01) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). <italic>A</italic> decreased from veraison to maturity in all varieties in 2023 except for &#x2018;Touriga Franca&#x2019; and &#x2018;Donzelinho Tinto&#x2019;. In 2024, there was an increase of <italic>A</italic> in seven of the twelve varieties. In general, there was a decrease in <italic>A</italic> from the morning to midday in both years. In the morning significant statistical differences were found among varieties, in both years and phenological stages. In the midday measurements, significant statistical differences (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>) were only found between varieties in both phenological stages in the year 2024.</p>
<p>Intrinsic water use efficiency (<italic>A/g<sub>s</sub></italic>) varied between 32.32 &#xb5;mol mol<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (veraison, 2023) and 108.31 &#xb5;mol mol<sup>-1</sup> in &#x2018;Alicante Bouschet&#x2019; (maturity, 2024) in the morning and 36.76 &#xb5;mol mol<sup>-1</sup> in &#x2018;Mourisco de Semente&#x2019; (veraison, 2023) and 164.50 &#xb5;mol mol<sup>-1</sup> in &#x2018;Touriga Franca&#x2019; (maturity, 2023) at midday. <italic>A/g<sub>s</sub></italic> was influenced at the morning by the year (<italic>p&lt;</italic> 0.001) and by the variety (<italic>p&lt;</italic> 0.001), at midday by the interaction variety &#xd7; year (<italic>p&lt;</italic> 0.01) and both daily measurements were influenced by the interaction variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.001 in the morning and <italic>p&lt;</italic> 0.01 at midday). In general, <italic>A/g<sub>s</sub></italic> increased from veraison to maturity and from morning to midday in both years. Significant statistical differences between varieties were found in the morning measurement in 2023 and at midday in both phenological stages of the year 2023 and in maturity of 2024.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Lipid peroxidation (TBARS)</title>
<p>The lipid peroxidation was determined using the TBARS assay (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>). TBARS levels were higher in average in the maturity of 2024, followed by veraison 2024, veraison 2023 and maturity 2023. In general, an increase in TBARS levels was observed throughout phenological development, ranging at veraison from 97.55 nmol g<sup>-1</sup> in &#x2018;Touriga Franca&#x2019; (2023) to 466.01 nmol g<sup>-1</sup> in &#x2018;Alicante Bouschet&#x2019; (2024) and at maturity from 95.16 in &#x2018;Touriga Franca&#x2019; (2023) to 542.26 nmol g<sup>-1</sup> in &#x2018;Vinh&#xe3;o&#x2019; (2024). Hence, &#x2018;Touriga Franca&#x2019; presented the lowest content of TBARS in both phenological stages and in both years. On other hand, the varieties with highest TBARS content at veraison in both years were &#x2018;Vinh&#xe3;o&#x2019; and &#x2018;Alicante Bouschet&#x2019;, while at maturity, in 2023 were &#x2018;Donzelinho Tinto&#x2019; and &#x2018;Alicante Bouschet&#x2019;, and in 2024 &#x2018;Vinh&#xe3;o&#x2019; and &#x2018;Trincadeira&#x2019;. Significant differences were observed in year (<italic>p&lt;</italic> 0.05), variety (<italic>p&lt;</italic> 0.001), and in the interactions variety &#xd7; phenological stage (<italic>p&lt;</italic> 0.05), variety &#xd7; year (<italic>p&lt;</italic> 0.001), year &#xd7; phenological stage (<italic>p&lt;</italic> 0.05) and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Content of TBARS in twelve different grapevine varieties (V) in two phenological stages (PS; veraison and maturity) in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing TBARS levels in different grape varieties during veraison and maturity in 2023 and 2024. X-axis lists grape varieties, and Y-axis shows TBARS levels in nanomoles per gram fresh weight. Bars are color-coded: light green for veraison 2023, pink for maturity 2023, dark green for veraison 2024, and burgundy for maturity 2024. Significant differences are noted with letters above bars; statistical values are given for various comparisons, indicating significance levels for year and treatment interactions.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Photosynthetic pigments</title>
<p>The total chlorophylls data is presented in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>. There was a decrease in the photosynthetic pigments content from veraison to maturity in both years for all the varieties, except for &#x2018;Tinto C&#xe3;o&#x2019; and &#x2018;Vinh&#xe3;o&#x2019; in 2024. Contents varied in veraison from 0.264 (&#x2018;Tinto C&#xe3;o&#x2019;, 2024) to 0.729 mg g<sup>-1</sup> (&#x2018;Tinta Roriz&#x2019;, 2024) and in maturity from 0.151 (&#x2018;Tinto C&#xe3;o&#x2019;, 2023) to 0.557 mg g<sup>-1</sup> (&#x2018;Alicante Bouschet&#x2019;, 2023). The averages value of the 12 varieties was higher at veraison 2023, followed by veraison 2024, maturity 2023 and maturity 2024. In 2023, the varieties with higher content of total chlorophyll in veraison were &#x2018;Tinta Roriz&#x2019;, &#x2018;Tinta Barroca&#x2019;, &#x2018;Alicante Bouschet&#x2019;, and &#x2018;Malvasia Preta&#x2019;, while in maturity were the varieties &#x2018;Alicante Bouschet&#x2019; and &#x2018;Malvasia Preta&#x2019;. In 2024, the varieties with highest chlorophyll content were also &#x2018;Tinta Roriz&#x2019;, &#x2018;Alicante Bouschet&#x2019; and &#x2018;Malvasia Preta&#x2019; in veraison and &#x2018;Touriga Nacional&#x2019;, &#x2018;Tinta Barroca&#x2019;, and &#x2018;Vinh&#xe3;o&#x2019; in maturity. &#x2018;Tinto C&#xe3;o&#x2019; was the variety with lower content of total chlorophyll in both years and in both phenological stages. Significant differences were found for variety (<italic>p&lt;</italic> 0.001), phenological stage (<italic>p&lt;</italic> 0.001), and in the interaction of year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Total chlorophyll in twelve different grapevine varieties (V) in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g003.tif">
<alt-text content-type="machine-generated">Bar chart comparing total chlorophyll content (mg/g FW) across various grape varieties during veraison and maturity in 2023 and 2024. Colors represent specific timelines: veraison 2023 (light green), maturity 2023 (light red), veraison 2024 (dark green), and maturity 2024 (dark red). Statistical significance levels are indicated above each bar, with keys on the right showing different p-value conditions.</alt-text>
</graphic></fig>
<p>Carotenoids content decreased from veraison to maturity in all twelve varieties in both years of the study (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>). The twelve varieties average value was higher in veraison 2023, followed by veraison 2024, maturity 2023 and finally maturity 2024. The content of carotenoids varied in veraison from 0.133 mg g<sup>-1</sup> (&#x2018;Tinto C&#xe3;o&#x2019;, 2024) to 0.336 mg g<sup>-1</sup> (&#x2018;Tinta Roriz&#x2019;, 2024) and in maturity from 0.109 (&#x2018;Tinto C&#xe3;o&#x2019;, 2023) to 0.301 mg g<sup>-1</sup> (&#x2018;Alicante Bouschet&#x2019;, 2023). In 2023, &#x2018;Tinta Roriz&#x2019;, &#x2018;Tinta Barroca&#x2019;, &#x2018;Alicante Bouschet&#x2019;, and &#x2018;Malvasia Preta&#x2019; were the ones with more carotenoids in veraison and &#x2018;Tinta Roriz&#x2019;, &#x2018;Trincadeira&#x2019;, &#x2018;Alicante Bouschet&#x2019;, and &#x2018;Malvasia Preta&#x2019; in maturity. In 2024 at veraison, &#x2018;Tinta Roriz&#x2019;, &#x2018;Alicante Bouschet&#x2019;, and &#x2018;Malvasia Preta&#x2019; remained as the ones with higher content of carotenoids, while &#x2018;Touriga Nacional&#x2019; revealed the highest value in maturity. &#x2018;Tinto C&#xe3;o&#x2019; was the variety with lower content of carotenoids in both years and in both phenological stages. Significant statistical differences were observed in the three variables under study (year (<italic>p&lt;</italic> 0.05), variety (<italic>p&lt;</italic> 0.001) and phenological stage (<italic>p&lt;</italic> 0.001)), and in the interaction year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Content of carotenoids in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g004.tif">
<alt-text content-type="machine-generated">Bar chart illustrating carotenoid levels in different grape cultivars, measured in milligrams per gram of fresh weight (mg g⁻¹ FW). The bars represent four stages: Veraison 2023, Maturity 2023, Veraison 2024, and Maturity 2024, shown in green, pink, light green, and dark red respectively. Error bars indicate variability, with annotations for statistical significance.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Total soluble sugars and starch</title>
<p>The total leaf soluble sugars increased from veraison to maturity in all varieties in the growing season 2024 while in 2023 that happened only in five of the twelve varieties. The average value of the twelve varieties was quite similar in both phenological stages of 2023 and maturity 2024, and higher than in the veraison of 2024. In both years, the varieties with highest leaf sugar content (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>) were &#x2018;Touriga F&#xea;mea&#x2019; at veraison (45.09 mg g<sup>-1</sup> in 2023 and 33.68 mg g<sup>-1</sup> in 2024) and &#x2018;Mourisco de Semente&#x2019; at maturity (40.51 mg g<sup>-1</sup> in 2023 and 42.22 mg g<sup>-1</sup> in 2024), while the lowest content was observed in &#x2018;Vinh&#xe3;o&#x2019; (2023; 24.81 mg g<sup>-1</sup>) and &#x2018;Touriga Nacional&#x2019; (2024; 16.35 mg g<sup>-1</sup>) at veraison, and &#x2018;Tinto C&#xe3;o&#x2019; (2023; 27.02 mg g<sup>-1</sup>) and &#x2018;Alicante Bouschet&#x2019; (2024; 25.50 mg g<sup>-1</sup>) in maturity. Significant differences between varieties were found at both phenological stages of 2024 and in maturity of 2023 (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<p>The content of total leaf soluble sugars was influenced by the year (<italic>p&lt;</italic> 0.001), phenological stage (<italic>p&lt;</italic> 0.001), variety (<italic>p&lt;</italic> 0.001), and by the interactions year &#xd7; phenological stage (<italic>p&lt;</italic> 0.001) and variety &#xd7; phenological stage &#xd7; year (<italic>p&lt;</italic> 0.001) (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>).</p>
<p>The average content in leaf starch was significantly higher in both phenological stages in 2023 than in 2024 (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). The highest average content was observed at veraison 2023, followed by maturity 2023, and then with contents much lower maturity 2024 and veraison 2024. In 2023, the starch content increased from veraison to maturity in six of the twelve varieties studied and decreased in the remaining six. In 2024, seven varieties showed an increase in leaf starch content from veraison to maturity while &#x2018;Touriga Nacional&#x2019;, &#x2018;Trincadeira&#x2019;, &#x2018;Donzelinho Tinto&#x2019;, &#x2018;Alicante Bouschet&#x2019;, and &#x2018;Malvasia Preta&#x2019; showed a decrease. In both phenological stages of 2023, &#x2018;Mourisco de Semente&#x2019; had the highest leaf starch content (55.06 mg g<sup>-1</sup> at veraison and 34.32 mg g<sup>-1</sup> at maturity), whereas &#x2018;Tinto C&#xe3;o&#x2019; had the lowest (10.26 mg g<sup>-1</sup> at veraison and 12.20 mg g<sup>-1</sup> at maturity). In 2024, &#x2018;Malvasia Preta&#x2019; recorded the highest value at veraison (6.14 mg g<sup>-1</sup>) and &#x2018;Touriga F&#xea;mea&#x2019; at maturity (9.03 mg g<sup>-1</sup>). &#x2018;Touriga Franca&#x2019; had the lowest content at veraison in 2024 (0.45 mg g<sup>-1</sup>), while &#x2018;Touriga Nacional&#x2019; (1.28 mg g<sup>-1</sup>) and &#x2018;Trincadeira&#x2019; (1.25 mg g<sup>-1</sup>) had the lowest values at maturity in 2024. Significant statistical differences between varieties were found in both phenological stages of the year 2023 and in maturity of 2024. Significant differences (p&lt; 0.05) were observed between all the parameters and their interactions revealing the diversity of the twelve varieties (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Leaf starch content in twelve different varieties of <italic>Vitis vinifera</italic> in the phenological stages of veraison and maturity in the years 2023 and 2024.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variety</th>
<th valign="middle" colspan="4" align="center">Leaf starch (mg g<sup>-1</sup> FW)</th>
</tr>
<tr>
<th valign="middle" align="center">Veraison 2023</th>
<th valign="middle" align="center">Maturity 2023</th>
<th valign="middle" align="center">Veraison 2024</th>
<th valign="middle" align="center">Maturity 2024</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Nacional&#x2019;</td>
<td valign="middle" align="left">12.91 &#xb1; 1.07 a-c<sub>1</sub></td>
<td valign="middle" align="left">22.37 &#xb1; 8.04 ab<sub>2</sub></td>
<td valign="middle" align="left">2.37 &#xb1; 1.78 ns</td>
<td valign="middle" align="left">1.28 &#xb1; 0.55 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga Franca&#x2019;</td>
<td valign="middle" align="left">16.37 &#xb1; 0.94 c-e<sub>1</sub></td>
<td valign="middle" align="left">16.81 &#xb1; 2.27 ab<sub>2</sub></td>
<td valign="middle" align="left">0.45 &#xb1; 0.23 ns</td>
<td valign="middle" align="left">2.09 &#xb1; 0.72 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Roriz&#x2019;</td>
<td valign="middle" align="left">28.25 &#xb1; 8.79 b-d<sub>1</sub></td>
<td valign="middle" align="left">19.56 &#xb1; 4.20 ab<sub>2</sub></td>
<td valign="middle" align="left">1.26 &#xb1; 0.86 ns</td>
<td valign="middle" align="left">2.40 &#xb1; 1.66 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinto C&#xe3;o&#x2019;</td>
<td valign="middle" align="left">10.26 &#xb1; 2.12 ab<sub>1</sub></td>
<td valign="middle" align="left">12.20 &#xb1; 0.35 a<sub>2</sub></td>
<td valign="middle" align="left">1.38 &#xb1; 0.39 ns</td>
<td valign="middle" align="left">1.75 &#xb1; 1.10 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Tinta Barroca&#x2019;</td>
<td valign="middle" align="left">12.34 &#xb1; 1.18 ab<sub>1</sub></td>
<td valign="middle" align="left">20.22 &#xb1; 6.80 ab<sub>2</sub></td>
<td valign="middle" align="left">1.68 &#xb1; 0.98 ns</td>
<td valign="middle" align="left">5.70 &#xb1; 1.55 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Trincadeira&#x2019;</td>
<td valign="middle" align="left">11.38 &#xb1; 1.41 a-c<sub>1</sub></td>
<td valign="middle" align="left">14.34 &#xb1; 2.22 ab<sub>2</sub></td>
<td valign="middle" align="left">1.92 &#xb1; 0.66 ns</td>
<td valign="middle" align="left">1.25 &#xb1; 0.66 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Vinh&#xe3;o&#x2019;</td>
<td valign="middle" align="left">11.15 &#xb1; 2.09 a<sub>1</sub></td>
<td valign="middle" align="left">16.52 &#xb1; 2.21 ab<sub>2</sub></td>
<td valign="middle" align="left">1.59 &#xb1; 0.37 ns</td>
<td valign="middle" align="left">3.30 &#xb1; 0.49 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Donzelinho Tinto&#x2019;</td>
<td valign="middle" align="left">39.52 &#xb1; 4.45 de<sub>1</sub></td>
<td valign="middle" align="left">16.53 &#xb1; 3.51 ab<sub>2</sub></td>
<td valign="middle" align="left">4.42 &#xb1; 2.83 ns</td>
<td valign="middle" align="left">1.93 &#xb1; 0.59 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Alicante Bouschet&#x2019;</td>
<td valign="middle" align="left">17.70 &#xb1; 3.42 a-d<sub>1</sub></td>
<td valign="middle" align="left">14.59 &#xb1; 1.81 ab<sub>2</sub></td>
<td valign="middle" align="left">4.46 &#xb1; 2.28 ns</td>
<td valign="middle" align="left">1.79 &#xb1; 0.59 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Touriga F&#xea;mea&#x2019;</td>
<td valign="middle" align="left">52.99 &#xb1; 2.89 e<sub>1</sub></td>
<td valign="middle" align="left">24.90 &#xb1; 1.92 ab<sub>2</sub></td>
<td valign="middle" align="left">4.71 &#xb1; 3.19 ns</td>
<td valign="middle" align="left">9.03 &#xb1; 3.32 B<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Malvasia Preta&#x2019;</td>
<td valign="middle" align="left">37.53 &#xb1; 9.80 c-e<sub>1</sub></td>
<td valign="middle" align="left">13.93 &#xb1; 1.68 ab<sub>2</sub></td>
<td valign="middle" align="left">6.14 &#xb1; 3.00 ns</td>
<td valign="middle" align="left">2.56 &#xb1; 0.62 A<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left">&#x2018;Mourisco de Semente&#x2019;</td>
<td valign="middle" align="left">55.06 &#xb1; 10.56 e<sub>1</sub></td>
<td valign="middle" align="left">34.32 &#xb1; 5.91 b<sub>2</sub></td>
<td valign="middle" align="left">1.41 &#xb1; 0.63 ns</td>
<td valign="middle" align="left">4.15 &#xb1; 1.02 AB<sub>2</sub></td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (PS)</td>
<td valign="middle" colspan="4" align="center">0.033</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS)</td>
<td valign="middle" colspan="4" align="center">0.004</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; Y)</td>
<td valign="middle" colspan="4" align="center">0.005</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (Y &#xd7; PS)</td>
<td valign="middle" colspan="4" align="center">0.027</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>p</italic> value (V &#xd7; PS &#xd7; Y)</td>
<td valign="middle" colspan="4" align="center">&lt;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Bioactive compounds</title>
<p>The bioactive compounds were determined by the total phenolics, flavonoids, and <italic>ortho</italic>-diphenols contents in leaf samples. <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref> presents the total phenolics content which in general were higher in 2024. In most varieties, the total phenolics were higher in maturity than in veraison in both years.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Total phenolics in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g005.tif">
<alt-text content-type="machine-generated">Bar chart showing total phenolics in milligrams per gram fresh weight for various grape varieties across four stages: Veraison 2023, Maturity 2023, Veraison 2024, and Maturity 2024. Different colors represent each stage: green for Veraison 2023 and 2024, and red for Maturity 2023 and 2024. Data demonstrates variability in phenolic content across varieties and stages, with statistical significance indicated by letters and p-values.</alt-text>
</graphic></fig>
<p>Contents varied from 15.14 to 33.69 mg GAE g<sup>-1</sup> in veraison (&#x2018;Tinta Roriz&#x2019;, 2023 and &#x2018;Vinh&#xe3;o&#x2019;, 2024, respectively) and between 14.24 and 39.75 mg GAE g<sup>-1</sup> in maturity (&#x2018;Touriga Franca&#x2019;, 2023 and &#x2018;Donzelinho Tinto&#x2019;, 2024, respectively).</p>
<p>&#x2018;Mourisco de Semente&#x2019; (veraison) and &#x2018;Touriga F&#xea;mea&#x2019; (maturity) were the varieties with highest content in 2023 and, &#x2018;Vinh&#xe3;o&#x2019; (veraison) and &#x2018;Donzelinho Tinto&#x2019; (veraison and maturity) in 2024. On the other hand, the lowest phenolic contents were observed in &#x2018;Tinta Roriz&#x2019; (veraison) and &#x2018;Touriga Franca&#x2019; (maturity) in 2023, and in &#x2018;Touriga Franca&#x2019; (both phenological stages) in 2024. From the global analysis, significant differences were obtained by the year (<italic>p&lt;</italic> 0.001), variety (<italic>p&lt;</italic> 0.001), and phenological stage (<italic>p&lt;</italic> 0.001), for the interactions phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.05), year &#xd7; variety (<italic>p&lt;</italic> 0.001), and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<p>Flavonoid concentration, presented in <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>, was higher in veraison 2023, followed by maturity 2024, veraison 2024 and lastly maturity 2023. Flavonoid content varied from 8.11 to 22.91 mg CAE g<sup>-1</sup> in veraison (&#x2018;Touriga Franca&#x2019;, 2023 and &#x2018;Mourisco de Semente&#x2019;, 2023, respectively) and from 9.31 to 19.85 mg CAE g<sup>-1</sup> in maturity (&#x2018;Touriga Franca&#x2019;, 2024 and &#x2018;Malvasia Preta&#x2019;, 2024, respectively). The flavonoid content decreased from veraison to maturity except for &#x2018;Touriga Franca&#x2019;, &#x2018;Tinta Roriz&#x2019;, &#x2018;Tinta Barroca&#x2019;, &#x2018;Vinh&#xe3;o&#x2019;, &#x2018;Donzelinho Tinto&#x2019; and &#x2018;Touriga F&#xea;mea&#x2019; in 2023 and &#x2018;Touriga Nacional&#x2019;, &#x2018;Tinta Roriz&#x2019;, &#x2018;Tinto C&#xe3;o&#x2019;, &#x2018;Alicante Bouschet&#x2019;, &#x2018;Touriga F&#xea;mea&#x2019; and &#x2018;Malvasia Preta&#x2019; in 2024. The evolution of the flavonoid content was variable in 2023 and in 2024 with half of the varieties decreasing the content from veraison to maturity and half of them increasing. Eight varieties presented different behaviors in both growth seasons.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Content of Flavonoids in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g006.tif">
<alt-text content-type="machine-generated">Bar chart displaying flavonoid content in different grape varieties across four stages: Veraison 2023 (light green), Maturity 2023 (pink), Veraison 2024 (dark green), and Maturity 2024 (brown). Each bar represents various grape types, with values measured in milligrams of CAE per gram of fresh weight. Statistical significance is indicated with letters above bars.</alt-text>
</graphic></fig>
<p>In 2023, the varieties &#x2018;Mourisco de Semente&#x2019; and &#x2018;Touriga F&#xea;mea&#x2019; were the ones with highest content of flavonoids in veraison and maturity, respectively. In 2024, &#x2018;Donzelinho Tinto&#x2019; was the one with highest content of flavonoids at veraison, while at maturity was &#x2018;Malvasia Preta&#x2019;. &#x2018;Touriga Franca&#x2019; was the one with lowest flavonoid content in both years and both phenological stages. This phenolic compound was affected by the variety (<italic>p&lt;</italic> 0.001) and the interactions phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.05) and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<p>In general, the <italic>ortho</italic>-diphenols contents were higher in 2024 than in 2023 in both phenological stages, except for &#x2018;Tinta Barroca&#x2019; (maturity) and &#x2018;Vinh&#xe3;o&#x2019; (veraison and maturity). In both years, this bioactive compound decreased from veraison to maturity in all varieties with exception of &#x2018;Donzelinho Tinto&#x2019; and &#x2018;Touriga F&#xea;mea&#x2019; that registered an increase of the <italic>ortho</italic>-diphenol content. <italic>Ortho</italic>-diphenols content varied in average of the two years between 34.49 and 62.88 mg GAE g<sup>-1</sup> in veraison (&#x2018;Malvasia Preta&#x2019;, 2023 and &#x2018;Tinta Barroca&#x2019;, 2024, respectively) and from 28.99 to 58.64 mg GAE g<sup>-1</sup> in maturity (&#x2018;Touriga Franca&#x2019;, 2023 and &#x2018;Vinh&#xe3;o&#x2019;, 2023, respectively) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>). In both phenological stages of 2023, &#x2018;Vinh&#xe3;o&#x2019; was the one with highest content of <italic>ortho</italic>-diphenols and &#x2018;Malvasia Preta&#x2019; (veraison) and &#x2018;Touriga Franca&#x2019;(maturity) the ones with the lowest, while in 2024, &#x2018;Tinta Barroca&#x2019; (veraison) and &#x2018;Donzelinho Tinto&#x2019; (maturity) showed the highest value and &#x2018;Malvasia Preta&#x2019; the lowest in both phenological stages. Significant statistical differences between varieties were found in both years and both phenological stages with emphasis in veraison. <italic>Ortho</italic>-diphenols were affected by the year (<italic>p&lt;</italic> 0.05), the phenological stage (<italic>p&lt;</italic> 0.05), the variety (<italic>p&lt;</italic> 0.01), for the interactions phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001), year &#xd7; variety (<italic>p&lt;</italic> 0.05), and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p><italic>Ortho</italic>-diphenols in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g007.tif">
<alt-text content-type="machine-generated">Bar chart showing ortho-diphenols levels in various grape varieties during veraison and maturity stages in 2023 and 2024. Green and red bars indicate different years and stages. Error bars represent variability, and statistical significance is noted with different letters and numbers.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Antioxidant activity</title>
<p>Regarding the antioxidant activity three different assays were determined, ABTS, DPPH and FRAP. In general, the ABTS was higher in 2023 than in 2024, namely in five varieties at veraison and another five at maturity. Only the varieties &#x2018;Touriga F&#xea;mea&#x2019; (veraison) and &#x2018;Mourisco de Semente&#x2019; (maturity) registered slightly higher values. In the year 2023, the content of ABTS varied between 12.42 and 38.60 mg Trolox g<sup>-1</sup> in veraison (&#x2018;Tinto C&#xe3;o&#x2019; and &#x2018;Tinta Roriz&#x2019;, respectively) and from 10.37 and 43.92 mg Trolox g<sup>-1</sup> in maturity (&#x2018;Touriga F&#xea;mea&#x2019; and &#x2018;Touriga Franca&#x2019;, respectively). In 2024, &#x2018;Tinto C&#xe3;o&#x2019; had the lowest ABTS content in veraison with 12.42 mg Trolox g<sup>-1</sup> and &#x2018;Touriga Franca&#x2019; had the highest with 30.10 mg Trolox g<sup>-1</sup>. In maturity, &#x2018;Vinh&#xe3;o&#x2019; had the lowest ABTS content and &#x2018;Touriga Franca&#x2019; the highest with 16.68 and 41.68 mg Trolox g<sup>-1</sup>, respectively.</p>
<p>In ABTS data, it was observed a significant influence of the year (<italic>p&lt;</italic> 0.05), the variety (<italic>p&lt;</italic> 0.001), the interactions phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001), year &#xd7; variety (<italic>p&lt;</italic> 0.001), year &#xd7; phenological stage (<italic>p&lt;</italic> 0.05), and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001) (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Antioxidant activity: ABTS radical-scavenging activity in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g008.tif">
<alt-text content-type="machine-generated">Bar chart showing ABTS values (mg Trolox per gram fresh weight) for different grape varieties during veraison and maturity in 2023 and 2024. Bars are color-coded: green for veraison 2023, pink for maturity 2023, light green for veraison 2024, and maroon for maturity 2024. Error bars indicate variability. Statistical significance levels are listed on the right.</alt-text>
</graphic></fig>
<p>The DPPH activity (<xref ref-type="fig" rid="f9"><bold>Figure&#xa0;9</bold></xref>) was higher in veraison 2023, following maturity 2024 in nine of the twelve varieties. In 2023, the varieties with highest DPPH activity were &#x2018;Mourisco de Semente&#x2019; (4.19 mg Trolox g<sup>-1</sup>) in veraison and &#x2018;Tinta Roriz&#x2019; (2.24 mg Trolox g<sup>-1</sup>) in maturity. The varieties with lower activity were &#x2018;Touriga Franca&#x2019; (1.74 mg Trolox g<sup>-1</sup>) in veraison and &#x2018;Malvasia Preta&#x2019; (0.63 mg Trolox g<sup>-1</sup>) in maturity. In 2024, &#x2018;Touriga Franca&#x2019; (2.18 mg Trolox g<sup>-1</sup>) had the highest DPPH activity in veraison and &#x2018;Vinh&#xe3;o&#x2019; (3.22 mg Trolox g<sup>-1</sup>) in maturity. The varieties with the lowest activity from the same year were &#x2018;Touriga F&#xea;mea&#x2019; (veraison, 0.58 mg Trolox g<sup>-1</sup>) and &#x2018;Touriga Franca&#x2019; (maturity, 0.61 mg Trolox g<sup>-1</sup>). DPPH radical-scavenging activity assay showed significant differences in the year (<italic>p&lt;</italic> 0.001), the phenological stage (<italic>p&lt;</italic> 0.05), the variety (<italic>p&lt;</italic> 0.001), and the interactions year &#xd7; phenological stage (<italic>p&lt;</italic> 0.001) and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Antioxidant activity: DPPH radical-scavenging activity in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g009.tif">
<alt-text content-type="machine-generated">Bar chart displaying DPPH values (mg Trolox per gram fresh weight) for various grape varieties at different developmental stages: Veraison 2023, Maturity 2023, Veraison 2024, and Maturity 2024. Each variety is depicted with four bars in different colors for each stage. The legend and significance levels are provided, with values showing variability across varieties and stages.</alt-text>
</graphic></fig>
<p>In general, FRAP assay presented higher values in 2024 than in 2023, being veraison the phenological stage that showed higher levels in this antioxidant assay (<xref ref-type="fig" rid="f10"><bold>Figure&#xa0;10</bold></xref>). In 2023, &#x2018;Mourisco de Semente&#x2019; had the highest FRAP activity in veraison (3.75 mg Trolox g<sup>-1</sup>) and &#x2018;Touriga F&#xea;mea&#x2019; in maturity (3.71 mg Trolox g<sup>-1</sup>). &#x2018;Vinh&#xe3;o&#x2019; had the highest FRAP activity in both phenological stages of 2024 (4.25 mg Trolox g<sup>-1</sup> at veraison and 3.56 mg Trolox g<sup>-1</sup> at maturity). &#x2018;Touriga Franca&#x2019; was the variety with lowest FRAP in both years at veraison (1.53 mg Trolox g<sup>-1&#x2013;</sup>2023 and 2.17 mg Trolox g<sup>-1</sup> 2024) and maturity (1.41 mg Trolox g<sup>-1&#x2013;</sup>2023 and 1.65 mg Trolox g<sup>-1</sup> 2024). The data obtained revealed significant differences on the year (<italic>p&lt;</italic> 0.05), the variety (<italic>p&lt;</italic> 0.001), and the interactions phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001) and year &#xd7; phenological stage &#xd7; variety (<italic>p&lt;</italic> 0.001).</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Antioxidant activity: FRAP assay in twelve different varieties (V) of <italic>Vitis vinifera</italic> in the phenological stages (PS) of veraison and maturity in the years (Y) 2023 and 2024. Values are represented as mean &#xb1; SE and the different letters and numbers represent significant differences (<italic>p&lt;</italic> 0.05, Tukey&#x2019;s test) between the twelve different varieties within each phenological stage (veraison &#x2013; 1; maturity &#x2013; 2) and each year (lowercase &#x2013; 2023; uppercase &#x2013; 2024).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g010.tif">
<alt-text content-type="machine-generated">Bar chart showing FRAP values in milligrams of Trolox per gram of fresh weight for different grape varieties at veraison and maturity stages in 2023 and 2024. Green and pink bars represent veraison and maturity stages for each year, respectively. Varieties include Touriga Nacional, Touriga Franca, Tinta Roriz, among others. Statistical significance is indicated by p-values, with various uppercase and lowercase letter annotations showing differences between groups.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Integrative analysis to select the most promising grapevine varieties</title>
<p>A Pearson correlation was performed revealing significant positive and negative correlation (<italic>p</italic> &lt; 0.05) among several of the investigated parameters (<xref ref-type="fig" rid="f11"><bold>Figure&#xa0;11</bold></xref>).</p>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Pearson correlation among the biochemical and physiological parameters in the twelve grapevine varieties evaluated in this study. Positive correlations were indicated in blue and negative correlations were indicated in red; the *, **, and *** correspond to <italic>p&lt;</italic> 0.05, <italic>p&lt;</italic> 0.01, and <italic>p&lt;</italic> 0.001, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g011.tif">
<alt-text content-type="machine-generated">Heatmap showing the correlation between various biochemical and physiological parameters. Correlation values range from negative (red) to positive (blue), with intensity indicating strength. Key parameters include TBARS, phenolics, flavonoids, and chlorophyll. Significant correlations are marked with asterisks. A vertical color scale bar on the right ranges from minus one to one.</alt-text>
</graphic></fig>
<p>Highly significant positive correlations were detected between several leaf gas exchange measurements at morning and biochemical parameters such as E, g<sub>s</sub>, and A with the content of carotenoids, Ci with leaf starch, A and g<sub>s</sub> with antioxidant activity ABTS, and A/gs with phenolics. Likewise, the antioxidant activity FRAP was positive correlated with total phenolics, <italic>ortho</italic>-diphenols, and flavonoids. Conversely, significant negative correlations were observed between the gas exchange parameters in the morning E and g<sub>s</sub> with total phenolics and gs and A/g<sub>s</sub> with FRAP.</p>
<p>Principal component analysis (PCA) was carried out on the twelve grapevine varieties (in two consecutive years and two phenological stages) and twenty-one physiological and biochemical traits with the objective of inferring the grapevine varietal distribution and behavior under summer stress conditions (<xref ref-type="fig" rid="f12"><bold>Figure&#xa0;12</bold></xref>). For the veraison stage, the first two components of PCA accounted for 55.9% (PC1 = 33.1% and PC2 = 22.8%) of the loading scores for the all the parameters evaluated, while for the maturation stage was obtained 53.2% (PC1 = 38.7% and PC2 = 14.5%) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>).</p>
<fig id="f12" position="float">
<label>Figure&#xa0;12</label>
<caption>
<p>Principal component analysis based on all the physiological and biochemical parameters evaluated in the twelve grapevine varieties in two consecutive years, 2023 and 2024, and in two phenological stages, veraison and maturarion. <bold>(a)</bold> PCA with varieties at veraison stage and the contributions of each parameter in both years; <bold>b)</bold> PCA with varieties at maturation stage and the contributions of each parameter in both years. TN, &#x2018;Touriga Nacional&#x2019;; TFr, &#x2018;Touriga Franca&#x2019;; TR, &#x2018;Tinta Roriz&#x2019;; TC, &#x2018;Tinto C&#xe3;o&#x2019;; TB, &#x2018;Tinta Barroca&#x2019;; T, &#x2018;Trincadeira&#x2019;; V, &#x2018;Vinh&#xe3;o&#x2019;; DT, &#x2018;Donzelinho Tinto&#x2019;; AB, &#x2018;Alicante Bouschet&#x2019;; TFe, &#x2018;Touriga F&#xea;mea&#x2019;; MP, &#x2018;Malvasia Preta&#x2019;; MS, &#x2018;Mourisco de Semente&#x2019;.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-17-1757496-g012.tif">
<alt-text content-type="machine-generated">Two PCA biplots display data distributions. Plot (a) shows green points, veraison, with principal components PC1 (33.1%) and PC2 (22.8%). Plot (b) shows red points, maturity, with principal components PC1 (38.7%) and PC2 (14.5%). Both plots feature various labeled arrows indicating factor loadings.</alt-text>
</graphic></fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Contribution of the first two principal component axis to variation in the twenty-one parameters used for the evaluation of twelve grapevine varieties in two consecutive years, 2023 and 2024, and two phenological stages, veraison, and maturation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Variables</th>
<th valign="middle" align="center">PC1</th>
<th valign="middle" align="center">PC2</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">TBARS</td>
<td valign="middle" align="right">0.39615</td>
<td valign="middle" align="right">-0.50309</td>
</tr>
<tr>
<td valign="middle" align="left">TPhenolics</td>
<td valign="middle" align="right"><bold>0.79831</bold></td>
<td valign="middle" align="right">-0.34512</td>
</tr>
<tr>
<td valign="middle" align="left"><italic>Ortho</italic>-diphenols</td>
<td valign="middle" align="right">0.41233</td>
<td valign="middle" align="right">-0.48009</td>
</tr>
<tr>
<td valign="middle" align="left">Flavonoids</td>
<td valign="middle" align="right">0.34434</td>
<td valign="middle" align="right">-0.05081</td>
</tr>
<tr>
<td valign="middle" align="left">ABTS</td>
<td valign="middle" align="right">-0,55284</td>
<td valign="middle" align="right">0.19834</td>
</tr>
<tr>
<td valign="middle" align="left">DPPH</td>
<td valign="middle" align="right">-0.12986</td>
<td valign="middle" align="right">0.18759</td>
</tr>
<tr>
<td valign="middle" align="left">FRAP</td>
<td valign="middle" align="right">0.63149</td>
<td valign="middle" align="right">-0.28204</td>
</tr>
<tr>
<td valign="middle" align="left">Tchlorophyl</td>
<td valign="middle" align="right">-0.53062</td>
<td valign="middle" align="right">-0.28658</td>
</tr>
<tr>
<td valign="middle" align="left">Carotenoids</td>
<td valign="middle" align="right">-0.65225</td>
<td valign="middle" align="right">-0.17830</td>
</tr>
<tr>
<td valign="middle" align="left">Sugar</td>
<td valign="middle" align="right">0.11508</td>
<td valign="middle" align="right"><bold>0.76491</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Starch</td>
<td valign="middle" align="right">-0.18611</td>
<td valign="middle" align="right"><bold>0.76521</bold></td>
</tr>
<tr>
<td valign="middle" align="left">E_morn</td>
<td valign="middle" align="right">-0.83960</td>
<td valign="middle" align="right">-0.18962</td>
</tr>
<tr>
<td valign="middle" align="left">E_mid</td>
<td valign="middle" align="right">-0.66207</td>
<td valign="middle" align="right">-0.02707</td>
</tr>
<tr>
<td valign="middle" align="left">gs_morn</td>
<td valign="middle" align="right">-<bold>0.92071</bold></td>
<td valign="middle" align="right">-0.10380</td>
</tr>
<tr>
<td valign="middle" align="left">gs_mid</td>
<td valign="middle" align="right">-0.52913</td>
<td valign="middle" align="right">-0.31625</td>
</tr>
<tr>
<td valign="middle" align="left">Ci_morn</td>
<td valign="middle" align="right">-0.16902</td>
<td valign="middle" align="right">0.73063</td>
</tr>
<tr>
<td valign="middle" align="left">Ci_mid</td>
<td valign="middle" align="right">0.15648</td>
<td valign="middle" align="right">0.28437</td>
</tr>
<tr>
<td valign="middle" align="left">A_mor</td>
<td valign="middle" align="right">-0.77128</td>
<td valign="middle" align="right">-0.45514</td>
</tr>
<tr>
<td valign="middle" align="left">A_mid</td>
<td valign="middle" align="right">-0.60155</td>
<td valign="middle" align="right">-0.52085</td>
</tr>
<tr>
<td valign="middle" align="left">A/gs_morn</td>
<td valign="middle" align="right">0.36135</td>
<td valign="middle" align="right"><bold>-0.72956</bold></td>
</tr>
<tr>
<td valign="middle" align="left">A/gs_mid</td>
<td valign="middle" align="right">-0.09758</td>
<td valign="middle" align="right">-0.27260</td>
</tr>
<tr>
<td valign="middle" align="left">Eigenvalues</td>
<td valign="middle" align="right"><bold>5.98</bold></td>
<td valign="middle" align="right"><bold>3.89</bold></td>
</tr>
<tr>
<td valign="middle" align="left">% Variance</td>
<td valign="middle" align="right"><bold>28.50</bold></td>
<td valign="middle" align="right"><bold>18.50</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values highlighted in bold represent the highest contributions.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In both PCAs (<xref ref-type="fig" rid="f12"><bold>Figures&#xa0;12a, b</bold></xref>), no clear distribution of grapevine varieties was observed; however, a slight clustering of the samples based on the year of the experiment was detected. A total of two independent groups were obtained for this analysis (A and B, <xref ref-type="fig" rid="f12"><bold>Figure&#xa0;12b</bold></xref>). At veraison, total phenolics (0.83) and morning g<sub>s</sub> (-0.91) exhibited the highest loadings on PC1, while starch content (0.87) and morning A/g<sub>s</sub> (-0.86) were the main contributors to PC2. For other hand, at maturation, total phenolics (0.91) and ABTS (-0.81) presented the highest loadings on PC1, while midday g<sub>s</sub> (0.55) and DPPH (-0.86) were the main contributors to PC2.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The exposure of plants to summer stress under field conditions affects their responses at multiple levels, triggering a range of mechanisms that enhance their ability to tolerate stress (<xref ref-type="bibr" rid="B13">Chaves et&#xa0;al., 2010</xref>). Grapevines can present different behaviors in their response to stress, displaying either isohydric or anisohydric strategies. This response may even change within the same variety when exposed to different environmental conditions (<xref ref-type="bibr" rid="B17">Hochberg et&#xa0;al., 2013</xref>). Isohydric varieties close their stomata to reduce transpiration and maintain a more constant leaf water potential becoming more tolerant to drought in mild water stress, whereas anisohydric varieties tend to keep their stomata open to maintain photosynthetic rates, being more tolerant to drought under severe water stress (<xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). In this study, leaf gas exchange measurements were analyzed to gain insights into the adaptation and stability of different varieties under summer stress conditions (<xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al., 2024b</xref>). In 2023 &#x2018;Touriga Franca&#x2019;, and in 2024 &#x2018;Tinto C&#xe3;o&#x2019;, &#x2018;Vinh&#xe3;o&#x2019;, and &#x2018;Touriga F&#xea;mea&#x2019;, presented a more anisohydric behavior. These results highlight that varying environmental conditions can lead to different behavioral patterns in the same varieties from year to year (<xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>) being fundamental a further investigation in future growing seasons. In 2023 there was higher precipitation and a larger temperature range than in 2024. The year 2024 had the highest maximum temperature of both years, whereas 2023 had the lowest minimum temperature.</p>
<p>Some studies refer that exposure to summer stress, particularly high temperatures, can lead to changes in carbohydrate metabolism in grapevines, including the accumulation of total soluble sugars and starch in leaves (<xref ref-type="bibr" rid="B6">Bernardo et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). Under stress conditions, such as water or summer stress, reduced sugar and impaired starch degradation may result in starch overaccumulation in chloroplasts (<xref ref-type="bibr" rid="B31">Patakas and Noitsakis, 2001</xref>; <xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al., 2024b</xref>). In the present study, the varieties &#x2018;Touriga Franca&#x2019; and &#x2018;Donzelinho Tinto&#x2019; showed an increase in leaf sugar and starch contents from veraison to maturity in 2024, which is consistent with stress-induced limitations in carbohydrate translocation rather than enhanced photosynthetic activity. This achievement is supported by the negative correlation observed between photosynthesis and leaf sugar content (<xref ref-type="fig" rid="f11"><bold>Figure&#xa0;11</bold></xref>).</p>
<p>Summer stress can influence the content of photosynthetic pigments (<xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al., 2024b</xref>) and the variation in photosynthetic pigment contents among varieties may also represent an adaptation strategy to cope with stress. According to Moutinho Pereira et&#xa0;al (<xref ref-type="bibr" rid="B29">Moutinho-Pereira et&#xa0;al., 2007</xref>), the lower chlorophyll content observed in &#x2018;Tinto C&#xe3;o&#x2019;, in comparison to other varieties, may represent an adaptation strategy aimed at mitigating the impacts of higher radiation levels and elevated temperatures (<xref ref-type="bibr" rid="B29">Moutinho-Pereira et&#xa0;al., 2007</xref>). Chlorophyll content generally decreased over the season, especially under summer stress conditions, as shown in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>. An average reduction of 30.4% in chlorophyll content was observed between veraison and maturity. The variety &#x2018;Tinta Barroca&#x2019; (62.6%) in 2023 and &#x2018;Tinta Roriz&#x2019; (56.6%) in 2024 showed the greatest losses, while &#x2018;Alicante Bouchet&#x2019; (5.6%) in 2023 and &#x2018;Touriga Nacional&#x2019; (4.4%) in 2024 presented the lowest reductions. Carotenoids play a key role in protecting plants from photooxidative damage by reducing the formation of reactive oxygen species (ROS), which can lead to lipid peroxidation, irreversible DNA damage, and even cell death (<xref ref-type="bibr" rid="B3">Baltazar et&#xa0;al., 2025a</xref>). In this study, several varieties presented high carotenoid contents across both years and phenological stages, such as &#x2018;Tinta Barroca&#x2019;, &#x2018;Vinh&#xe3;o&#x2019;, &#x2018;Donzelinho Tinto&#x2019;, &#x2018;Alicante Bouschet&#x2019; and &#x2018;Malvasia Preta&#x2019;. However, &#x2018;Tinto C&#xe3;o&#x2019; consistently showed the lowest content of carotenoids in both years and at both phenological stages, in agreement with the findings of Moutinho Pereira et&#xa0;al (<xref ref-type="bibr" rid="B29">Moutinho-Pereira et&#xa0;al., 2007</xref>).</p>
<p>The increase of lipid peroxidation levels in leaves can be a response to summer stress in grapevine varieties (<xref ref-type="bibr" rid="B24">Monteiro et&#xa0;al., 2024a</xref>). In both years and phenological stages, &#x2018;Touriga Franca&#x2019; consistently presented the lowest TBARS content, indicating the lowest level of lipidic peroxidation. Bernardo et&#xa0;al. (2021) used TBARS quantification to explore the level of stress in &#x2018;Touriga Nacional&#x2019; and &#x2018;Touriga Franca&#x2019; and this one also presented lower content. On the other hand, &#x2018;Vinh&#xe3;o&#x2019;, &#x2018;Donzelinho Tinto&#x2019;, &#x2018;Alicante Bouschet&#x2019; presented the higher levels of TBARS which may suggest more susceptibility to summer stress.</p>
<p>Secondary metabolites such as phenolic compounds play an important role in berries and wine quality traits. Due to their antioxidant activity, they also contribute to neutralizing ROS (<xref ref-type="bibr" rid="B24">Monteiro et&#xa0;al., 2024a</xref>). The exploitation of phenolic compounds in grapevine leaves has interest due to the information about vine vigor, senescence, stress due to water scarcity or occurrence of fungal diseases (<xref ref-type="bibr" rid="B2">Ani&#x107; et&#xa0;al., 2024</xref>). In grapevine leaves, the synthesis of phenolic compounds can be triggered by stress conditions, such as drought and increased UV radiation. However, these contents tend to decrease in later stages as the leaves enter senescence (<xref ref-type="bibr" rid="B2">Ani&#x107; et&#xa0;al., 2024</xref>).</p>
<p>In general, the total phenolic content of the studied varieties increased in maturity, which can be explained by the increase in stress that the plant is subjected to. This induces the expression of phenylalanine ammonia-lyase (PAL) involved in the phenylpropanoid pathway that leads to an increase of total phenolics (<xref ref-type="bibr" rid="B40">Wen et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B41">Zhao et&#xa0;al., 2021</xref>).</p>
<p>Regarding flavonoids, the results were only influenced by variety. &#x2018;Touriga Franca&#x2019; had the lowest flavonoid content across both years and phenological stages, as expected, since flavonoids are known to be involved in the protection against stress (<xref ref-type="bibr" rid="B25">Monteiro et&#xa0;al., 2024b</xref>) and &#x2018;Touriga Franca&#x2019; presented the lowest TBARS content of all the varieties. Conversely, varieties previously identified as more susceptible to stress, such as &#x2018;Touriga F&#xea;mea&#x2019;, exhibited higher flavonoid levels that can be interpreted as a stress response aimed at mitigating oxidative damage (<xref ref-type="bibr" rid="B2">Ani&#x107; et&#xa0;al., 2024</xref>). For <italic>ortho</italic>-diphenols, higher levels are typically observed at veraison and lower levels at maturity, since the plant synthesizes these compounds during veraison to cope with stress. During maturity, however, the plant tends to prioritize resource allocation to the berries rather than the leaves, which may explain the observed decrease in <italic>ortho</italic>-diphenols at this stage (<xref ref-type="bibr" rid="B19">Kr&#xf3;l et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B2">Ani&#x107; et&#xa0;al., 2024</xref>). The results of the antioxidant activity assays (ABTS, DPPH, and FRAP) varied throughout the vegetative cycle of the grapevine and differed between assays, which is expected given that each assay targets different molecules (<xref ref-type="bibr" rid="B35">Shah and Modi, 2015</xref>). It is important to refer that long-term experiments are important to consolidate the data obtained for phenolic compounds and antioxidant activity.</p>
<p>Overall, the antioxidant activity assessed by ABTS, DPPH, and FRAP assays was closely associated with the content and profile of phenolic compounds in grapevine leaves. Varieties and phenological stages exhibiting higher total phenolics, flavonoids, and particularly ortho-diphenols generally showed enhanced antioxidant capacity, reinforcing the well-established role of phenolic compounds as major contributors to antioxidant activity. <italic>Ortho</italic>-diphenols, due to their chemical structure with adjacent hydroxyl groups, are especially effective radical scavengers and metal chelators, which may explain their strong relationship with ABTS and FRAP responses.</p>
<p>The higher antioxidant activity observed mainly in veraison 2023 and maturity 2024 for several varieties is consistent with the elevated levels of specific phenolic subclasses at these stages, suggesting a dynamic regulation of secondary metabolism in response to phenological development and interannual climatic variability. Differences among varieties further highlight the strong genetic influence on both phenolic composition and antioxidant capacity. Although some discrepancies among assays were observed, these are expected due to the different reaction mechanisms involved, with ABTS and DPPH reflecting radical-scavenging capacity and FRAP measuring reducing power. Collectively, the results indicate that the antioxidant activity of grapevine leaves is largely driven by their phenolic composition, particularly by ortho-diphenols and flavonoids, whose relative contribution varies with variety, phenological stage, and year.</p>
<p>The study and analysis of grapevine varietal diverse physiological and biochemical responses is a challenging task, as has been referred by Khandani et&#xa0;al. (2024) (<xref ref-type="bibr" rid="B18">Khandani et&#xa0;al., 2024</xref>). This study revealed highly significant correlations between gas exchange and biochemical parameters such as carotenoids with E, g<sub>s</sub> and A, the last two with the antioxidant activity ABTS and also A/g<sub>s</sub> with phenolics.</p>
<p>Integrating all the results from the study, it is possible to suggest which varieties are better suited to withstand summer stress. &#x2018;Tinta Roriz&#x2019; presented the most stable physiological response to summer stress in both years, maintaining high photosynthetic activity early in the season and moderate antioxidant capacity through maturity. This ability to preserve both carbon assimilation and oxidative balance has been associated with increased resilience in grapevine varieties under stress (<xref ref-type="bibr" rid="B17">Hochberg et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B16">Hochberg et&#xa0;al., 2017</xref>). &#x2018;Alicante Bouschet&#x2019; in both years presented exceptional early antioxidant protection. Even though it showed some physiological decline by maturity it maintained enough phenolic activity to counteract oxidative stress, being considered as a variety with higher tolerance to summer stress than most other varieties in this study. Varieties with strong antioxidant systems are better equipped to detoxify ROS and maintain cell membrane integrity (<xref ref-type="bibr" rid="B1">Agati et&#xa0;al., 2012</xref>). Even though this variety presented a high TBARS content, stress tolerance is not defined by the presence of stress markers but by the plants&#x2019; ability to respond and recover from this stress with effective antioxidant defenses (<xref ref-type="bibr" rid="B12">Chaves et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B36">Suzuki et&#xa0;al., 2012</xref>). &#x2018;Tinta Barroca&#x2019; and &#x2018;Tinto C&#xe3;o&#x2019; presented a moderate to lower summer stress tolerance with a modest performance at the beginning of the season but failed to improve or compensate when the exposure to summer stress increased. &#x2018;Tinta Barroca&#x2019; showed a better tolerance in 2023 with its defenses and function more weakened in 2024. &#x2018;Tinto C&#xe3;o&#x2019; remained weak in both functional and antioxidant traits in both years of the study. &#x2018;Touriga Nacional&#x2019; and &#x2018;Trincadeira&#x2019; can be considered moderately tolerant to summer stress in both years with good leaf gas exchange and photosynthetic pigments in early season but declined by maturity. The antioxidant parameters were median at veraison but also decreased at maturity. &#x2018;Donzelinho Tinto&#x2019; showed a lower stress tolerance in 2023 than in 2024. In 2024, it showed intermediate physiological performance at veraison, together with relatively high antioxidant capacity that declined toward maturity, but remained higher than in the most stress susceptible varieties, supporting its classification as having moderate tolerance to summer stress. &#x2018;Touriga Franca&#x2019; showed highest tolerance to stress in 2024 than in 2023. It maintained a high photosynthetic activity in both years but a low biochemical defense, being considered moderately tolerant to summer stress. Seeing that &#x2018;Touriga Franca&#x2019; presented the lowest TBARS levels, but a low antioxidant defense, it might suggest that this variety relies on other non-phenolic or enzymatic antioxidant systems (<xref ref-type="bibr" rid="B36">Suzuki et&#xa0;al., 2012</xref>) to buffer ROS without the need for high phenolic investment. &#x2018;Touriga F&#xea;mea&#x2019;, &#x2018;Malvasia Preta&#x2019;, and &#x2018;Mourisco de Semente&#x2019; presented as the most sensitive varieties to summer stress with low photosynthetic rates, limited antioxidant activity, and reduced photosynthetic pigments. The low water use efficiency, and the decrease in gas exchanges are usually associated with lower productivity under stress (<xref ref-type="bibr" rid="B22">Medrano et&#xa0;al., 2002</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The results of this study clearly demonstrate that grapevine varieties respond differently to summer stress, with the behavior of each variety being influenced by the specific environmental conditions experienced each year. The variables studied indicate that the response to stress is not uniform, and the adaptability of each variety can be strongly conditioned by climatic factors such as high temperatures and intense solar radiation. Among the varieties most sensitive to summer stress, &#x2018;Malvasia Preta&#x2019;, &#x2018;Touriga F&#xea;mea&#x2019;, and &#x2018;Mourisco de Semente&#x2019; stood out, exhibiting higher levels of lipid peroxidation, lower carotenoid and flavonoid content, and reduced antioxidant capacity. These results suggest that these varieties may face greater challenges under stress conditions, potentially affecting their yield and quality in the future context of viticulture.</p>
<p>On the other hand, the varieties &#x2018;Tinta Roriz&#x2019;, &#x2018;Alicante Bouschet&#x2019;, and &#x2018;Vinh&#xe3;o&#x2019; demonstrated a more robust physiological profile in response to stress, with a superior ability to accumulate antioxidant compounds such as phenolics and flavonoids, as well as maintain membrane integrity. This suggests a higher tolerance to summer stress. These varieties not only displayed greater stress resilience but also indicated greater potential for long-term viticulture, particularly in the context of climate change.</p>
<p>This study highlights the importance of selecting grapevine varieties that are better adapted to the increasing stress conditions driven by climate change, such as a strategy to help mitigate the negative impacts of global warming and extreme environmental events. The use of stress-resilient varieties could not only enhance grape yield and quality but also contribute to the long-term sustainability of viticulture in regions vulnerable to high temperatures and other adverse climatic factors.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>MG: Formal analysis, Writing &#x2013; original draft, Investigation, Writing &#x2013; review &amp; editing. MC: Data curation, Investigation, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Formal analysis. MB: Investigation, Writing &#x2013; review &amp; editing. HF: Investigation, Writing &#x2013; review &amp; editing. JV: Resources, Writing &#x2013; review &amp; editing. FA: Writing &#x2013; review &amp; editing, Resources. IC: Writing &#x2013; review &amp; editing, Funding acquisition, Supervision, Conceptualization. BG: Conceptualization, Supervision, Funding acquisition, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors acknowledge the support provided by the Portuguese Foundation for Science and Technology, under the projects UID/04033/2025: Centre for the Research and Technology of Agro-Environmental and Biological Sciences (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.54499/UID/04033/2025">https://doi.org/10.54499/UID/04033/2025</ext-link>) and LA/P/0126/2020 (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.54499/LA/P/0126/2020">https://doi.org/10.54499/LA/P/0126/2020</ext-link>). MC was funded by National Funds from the FCT&#x2014;Portuguese Foundation for Science and Technology&#x2014;under the Individual CEEC (<uri xlink:href="https://doi.org/10.54499/2020.03997.CEECIND/CP1598/CT0001">https://doi.org/10.54499/2020.03997.CEECIND/CP1598/CT0001</uri>). MB was funded by National Funds from the FCT&#x2014;Portuguese Foundation for Science and Technology&#x2014;under the individual grant number UI/BD/150730/2020 (<uri xlink:href="https://doi.org/10.54499/UI/BD/150730/2020">https://doi.org/10.54499/UI/BD/150730/2020</uri>) under the Doctoral Program &#x201c;Agricultural Production Chains&#x2014;from fork to farm&#x201d; (PD/00122/2012).</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Authors JV and FA were employed by Symington Family Estates.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) 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>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/536941">Tommaso Frioni</ext-link>, Catholic University of the Sacred Heart, Italy</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/471917">Cristina Sgherri</ext-link>, University of Pisa, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1598249">L&#xe9;nia Rodrigues</ext-link>, University of &#xc9;vora, Portugal</p></fn>
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