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<journal-id journal-id-type="publisher-id">Front. Plant Sci.</journal-id>
<journal-title>Frontiers in Plant Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Plant Sci.</abbrev-journal-title>
<issn pub-type="epub">1664-462X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2025.1661147</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Plant Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Sunburn mitigation in dragon fruit (<italic>Hylocereus</italic> spp.): unravelling genotype-specific physiological and biochemical responses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Karunakaran G.</surname>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kanupriya</surname>
<given-names>Chaturvedi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Arivalagan</surname>
<given-names>Manivannan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Laxman</surname>
<given-names>R. H.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Prakash</surname>
<given-names>Kumar</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Manjunath</surname>
<given-names>B. L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Ruchitha</surname>
<given-names>T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Abhilash</surname>
<given-names>K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Hazarika</surname>
<given-names>Tridip Kumar</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<aff id="aff1">
<sup>1</sup>
<institution>Division of Fruit Crops, Indian Council of Agricultural Research (ICAR)-Indian Institute of Horticultural Research</institution>, <addr-line>Bengaluru, Karnataka</addr-line>,&#xa0;<country>India</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Basic Sciences, Indian Council of Agricultural Research (ICAR)-Indian Institute of Horticultural Research</institution>, <addr-line>Bengaluru, Karnataka</addr-line>,&#xa0;<country>India</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Statistical Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute (IASRI)</institution>, <addr-line>New Delhi</addr-line>,&#xa0;<country>India</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Horticulture Aromatic and Medicinal Plants, Mizoram University</institution>, <addr-line>Aizawl, Mizoram</addr-line>,&#xa0;<country>India</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2835624/overview">Purabi Mazumdar</ext-link>, University of Malaya, Malaysia</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/934459/overview">Gerhard Fischer</ext-link>, National University of Colombia, Colombia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3138999/overview">Hardiyanto Hardiyanto</ext-link>, Badan Riset dan Inovasi Nasional (BRIN), Indonesia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chaturvedi Kanupriya, <email xlink:href="mailto:kp.kanu@gmail.com">kp.kanu@gmail.com</email>; Karunakaran G., <email xlink:href="mailto:avojack2023@gmail.com">avojack2023@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1661147</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Karunakaran G., Kanupriya, Arivalagan, Laxman, Prakash, Manjunath, Ruchitha, Abhilash and Hazarika.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Karunakaran G., Kanupriya, Arivalagan, Laxman, Prakash, Manjunath, Ruchitha, Abhilash and Hazarika</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Sunburn is a major abiotic stress affecting dragon fruit (Hylocereus spp.), impairing tissue integrity, disrupting physiological functions, and significantly reducing yield. Developing effective mitigation strategies is critical for sustaining productivity under high radiation conditions.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study evaluated the efficacy of eleven treatments combining kaolin (5%) with shade net, seaweed extract (0.5%), and various biostimulants in red (<italic>H. costaricensis</italic> &#x2018;CHESH-D1&#x2019;) and white (<italic>H. undatus</italic> &#x2018;CHESH-W1&#x2019;) genotypes. Treatments included T1 (water spray control), T2 (kaolin 5% + green monofilament shade net 30%), and T3&#x2013;T11 involving kaolin (5%) + seaweed extract (0.5%) combined individually with silica (0.5%, T4), micronutrients (0.5%, T5), petroleum oil (0.5%, T6), salicylic acid (0.5%, T7), neem soap (0.5%, T8), microbial consortium (0.5%, T10), brassinosteroids (0.5%, T11), and both neem soap (0.5%) + microbial consortium (0.5%, T9).</p>
</sec>
<sec>
<title>Results</title>
<p>Neem soap (T8) and neem soap + microbial consortium (T9) were the most effective treatments, reducing canopy temperature by 4.2&#x2013;5.1 &#xb0;C and malondialdehyde (MDA) content by 32&#x2013;38% compared to the control. These treatments also showed lower phenolic, flavonoid, and antioxidant enzyme (SOD, POD, CAT) activities, indicating reduced oxidative stress. Shade net + kaolin (T2) retained the highest chlorophyll content (1.82 mg g<sup>-1 </sup>FW), while microbial augmentation in T9 improved nutrient uptake. The red genotype exhibited higher tolerance to sunburn, with 12% lower MDA levels and 18% higher SOD activity than the white genotype.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Kaolin-based treatments, particularly when combined with neem soap and microbial amendments, synergistically alleviated sunburn stress by reducing oxidative damage, improving antioxidant enzyme activity, and enhancing nutrient homeostasis. Genotype-specific responses highlight the potential for precision management strategies to improve dragon fruit resilience under high radiation environments.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sunburn</kwd>
<kwd>dragon fruit</kwd>
<kwd>antioxidants</kwd>
<kwd>Kaolin</kwd>
<kwd>SOD</kwd>
<kwd>POD</kwd>
<kwd>CAT</kwd>
<kwd>MDA</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="4"/>
<equation-count count="5"/>
<ref-count count="115"/>
<page-count count="21"/>
<word-count count="10507"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Plant Abiotic Stress</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Dragon fruit (<italic>Hylocereus</italic> spp.), a member of the Cactaceae family, is rapidly gaining global prominence due to its exceptional nutritional value, economic potential, and ecological adaptability. Native to the tropical and subtropical rainforests of southern Mexico, Guatemala, and Costa Rica (<xref ref-type="bibr" rid="B72">Mizrahi et&#xa0;al., 1997</xref>), its cultivation has expanded significantly across Asia (Vietnam, China, Malaysia, Taiwan), the Middle East (Israel), and Australia. In Latin America, Colombia and Ecuador, particularly the latter for its premium yellow-skinned varieties, are emerging as major producers (<xref ref-type="bibr" rid="B70">Mitra and Pathak, 2024</xref>). Rich in bioactive compounds such as vitamins, potassium, betacyanin, and phenolic acids (<xref ref-type="bibr" rid="B12">Arivalagan et&#xa0;al., 2021</xref>), the fruit holds promise in combating diabetes, dyslipidemia, metabolic syndrome, cardiovascular diseases, and cancer. Furthermore, its uses extend to the food and nutraceutical industries, including natural colorants, eco-friendly packaging, edible films, photoprotective products, and functional additives (<xref ref-type="bibr" rid="B78">Nishikito et&#xa0;al., 2023</xref>).</p>
<p>Among the commonly cultivated species: <italic>Hylocereus undatus</italic> (white pulp), <italic>H. costaricensis</italic> (red pulp), and <italic>H. megalanthus</italic> (yellow skin) distinct physiological adaptations are evident. <italic>H. megalanthus</italic> thrives under higher shade intensities (50&#x2013;60%), while <italic>H. costaricensis</italic> performs better in lower shade conditions (30%) (<xref ref-type="bibr" rid="B82">Patil et&#xa0;al., 2024</xref>). These differences are due to structural traits: <italic>H. megalanthus</italic> lacks a waxy layer and sunken stomata, making it sensitive to high light intensity, whereas <italic>H. costaricensis</italic> possesses a thicker wax layer and sunken stomata, enhancing its tolerance to intense sunlight and heat (<xref ref-type="bibr" rid="B111">Yadav et&#xa0;al., 2025</xref>).</p>
<p>India has witnessed rapid expansion in dragon fruit cultivation in recent years, with over 5,000 hectares now under production across major states including Karnataka, Maharashtra, Gujarat, West Bengal, Andhra Pradesh, Telangana, and parts of North and Northeast India (<xref ref-type="bibr" rid="B55">Karunakaran et&#xa0;al., 2019</xref>). Despite this growth, domestic production still falls short of rising demand, largely due to the crop&#x2019;s vulnerability to abiotic stresses, particularly sunburn under high-temperature conditions typical of tropical, semi-arid, and arid regions. Unlike true desert cacti, dragon fruit evolved in the shaded understories of tropical rainforests and is thus more sensitive to heat stress (<xref ref-type="bibr" rid="B75">Munn&#xe9;-Bosch and Vincent, 2019</xref>). The optimal temperature for <italic>H. undatus</italic> (30&#xb0;C day/20&#xb0;C night) (<xref ref-type="bibr" rid="B24">Chu and Chang, 2020</xref>) is frequently exceeded during peak summer (March to June), when temperatures in major production zones often surpass 38&#xb0;C. Dragon fruit&#x2019;s most critical growth phases coincide with this high-stress period, increasing its susceptibility to sunburn&#x2014;an issue also reported in other fruit crops like apples (<xref ref-type="bibr" rid="B86">Racsko and Schrader, 2012</xref>; <xref ref-type="bibr" rid="B42">Gambetta et&#xa0;al., 2021</xref>), grapes (<xref ref-type="bibr" rid="B59">Krasnow et&#xa0;al., 2010</xref>), and pomegranates (<xref ref-type="bibr" rid="B68">Melgarejo-S&#xe1;nchez et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B7">Al-Saif et&#xa0;al., 2022</xref>). In dragon fruit, sunburn symptoms are primarily observed on cladodes such as cladode chlorosis, bleaching, necrosis, poor flower bud initiation, and reduced fruit set impairing growth and productivity (<xref ref-type="bibr" rid="B80">Nobel and De la Barrera, 2002</xref>; <xref ref-type="bibr" rid="B21">Chang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B23">Chien and Chang, 2019</xref>; <xref ref-type="bibr" rid="B54">Kakade et&#xa0;al., 2023</xref>). Climate change is expected to exacerbate these challenges, with increasing temperature variability and drought frequency projected to heighten sunburn risk and threaten long-term crop sustainability and farmer livelihoods (<xref ref-type="bibr" rid="B13">Ayangbenro and Babalola, 2021</xref>).</p>
<p>As a CAM plant, dragon fruit conserves water by closing stomata during the day, which limits transpirational cooling and causes internal heat accumulation. This compromises photosynthetic efficiency (<xref ref-type="bibr" rid="B21">Chang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B80">Nobel and De la Barrera, 2002</xref>), reduces reproductive potential (<xref ref-type="bibr" rid="B77">Nerd et&#xa0;al., 2002</xref>), and increases susceptibility to pathogen infection (<xref ref-type="bibr" rid="B23">Chien and Chang, 2019</xref>). Sunburn-induced tissue damage is often a result of photo-oxidative stress caused by ROS accumulation, manifesting as yellowing, browning, or necrosis (<xref ref-type="bibr" rid="B29">Dawood and Latef, 2023</xref>). High temperatures disrupt chloroplast structures, degrade thylakoid membranes, and increase membrane permeability, impairing photosynthesis and accelerating senescence (<xref ref-type="bibr" rid="B54">Kakade et&#xa0;al., 2023</xref>). These effects are further amplified by decline in chlorophyll concentration and increase in photoprotective pigments (e.g., xanthophylls), which alter tissue coloration. The resulting oxidative stress overwhelms cellular defenses (<xref ref-type="bibr" rid="B16">Bita and Gerats, 2013</xref>), despite native antioxidant responses such as redox adjustments and phenolic induction (<xref ref-type="bibr" rid="B62">Lal and Sahu, 2017</xref>). Prolonged heat stress impairs chlorophyll biosynthesis (<xref ref-type="bibr" rid="B81">Nuzhyna et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B100">Soengas et&#xa0;al., 2018</xref>), triggers membrane lipid peroxidation (measured via MDA), and alters antioxidant enzyme activity (<xref ref-type="bibr" rid="B53">Jbir-Koubaa et&#xa0;al., 2015</xref>). Plants counteract these effects through enzymatic and non-enzymatic antioxidants, including flavonols, carotenoids, and anthocyanins, which scavenge ROS and protect chloroplasts (<xref ref-type="bibr" rid="B102">Solovchenko et&#xa0;al., 2010</xref>). Therefore, quantifying these biochemical markers provides crucial insight into stress tolerance and adaptation.</p>
<p>With the projected rise in global temperatures and frequency of heat waves, the adoption of cost-effective, climate-resilient agricultural strategies has become essential. While techniques like shade nets (<xref ref-type="bibr" rid="B82">Patil et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B1">Afonso et&#xa0;al., 2025</xref>) and sprinkler irrigation (<xref ref-type="bibr" rid="B33">Do et&#xa0;al., 2024</xref>) offer relief from heat stress, their use is often constrained by high water demand, costs, and disease risks (<xref ref-type="bibr" rid="B67">Manja and Aoun, 2019</xref>). As a result, alternative interventions such as improved canopy management (<xref ref-type="bibr" rid="B17">Boini et&#xa0;al., 2025</xref>), trellis design (<xref ref-type="bibr" rid="B28">Danko et&#xa0;al., 2024</xref>), and optimized row orientation (<xref ref-type="bibr" rid="B9">Amogi et&#xa0;al., 2025</xref>) are gaining importance. Recent studies specific to dragon fruit support these approaches. <xref ref-type="bibr" rid="B82">Patil et&#xa0;al. (2024)</xref> showed that shade nets improved yield and fruit quality under semi-arid conditions, while <xref ref-type="bibr" rid="B34">Doke et&#xa0;al. (2024)</xref> demonstrated that pruning enhanced light distribution, reduced sunburn, and limited disease pressure. <xref ref-type="bibr" rid="B38">Fischer et&#xa0;al. (2022)</xref> further emphasized the global rise in sunburn-related disorders in tropical fruits, highlighting the need for integrative solutions. Agroforestry-based systems, where dragon fruit is co-cultivated under trees like mango (<italic>Mangifera indica</italic>) or aonla (<italic>Emblica officinalis</italic>), have also shown promise in moderating microclimates and improving sustainability (<xref ref-type="bibr" rid="B58">Kishore et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B89">Reza et&#xa0;al., 2022</xref>). Kaolin-based particle films offer another innovative solution. Kaolin (Al<sub>2</sub>Si<sub>2</sub>O<sub>5</sub>(OH)<sub>4</sub>) creates a reflective barrier that reduces UV and infrared radiation while allowing photosynthetically active radiation to pass through, without impairing gas exchange (<xref ref-type="bibr" rid="B20">Brito et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B107">Wang et&#xa0;al., 2022</xref>). Its application has been shown to reduce tissue temperature, maintain chlorophyll content, and promote plant growth under heat stress (<xref ref-type="bibr" rid="B66">Mahmoudian et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B104">Teker, 2023</xref>; <xref ref-type="bibr" rid="B92">Santos and Coelho Filho, 2024</xref>).</p>
<p>Beyond sunburn, compromised cuticle integrity increases susceptibility to fungal infections and physiological decline (<xref ref-type="bibr" rid="B25">Contreras et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B38">Fischer et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B67">Manja and Aoun, 2019</xref>). To simultaneously address abiotic and biotic stress, this study integrates kaolin sprays with biological and organic amendments. Seaweed extract was included for its known role in enhancing antioxidant systems, osmotic balance, and enzymatic defenses under abiotic stress (<xref ref-type="bibr" rid="B6">Ali et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B60">Kumar et&#xa0;al., 2024</xref>), while neem soap offered broad-spectrum antifungal and insecticidal properties with low environmental toxicity (<xref ref-type="bibr" rid="B110">Wylie and Merrell, 2022</xref>). A microbial consortium composed of plant growth-promoting rhizobacteria was also applied to enhance nutrient acquisition, root health, and systemic immunity (<xref ref-type="bibr" rid="B93">Santoyo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B26">Cruz et&#xa0;al., 2025</xref>). These treatments were hypothesized to act synergistically by reducing heat load, mitigating ROS-induced damage, and improving plant resilience through enhanced physiological and microbial defence pathways.</p>
<p>Despite the growing interest in dragon fruit and its increasing cultivation across climatic zones, no previous studies have systematically evaluated sunburn mitigation strategies using a combination of kaolin-based sprays and biostimulants. Furthermore, genotype-specific physiological responses to heat stress remain underexplored. Existing studies focus primarily on shading or irrigation effects but lack insights into how foliar treatments with biocompatible agents like seaweed, neem, PGPR, and natural oils influence antioxidant defence and nutrient balance.</p>
<p>To bridge these knowledge gaps, this study presents the first comprehensive field evaluation of kaolin-based treatments&#x2014;alone and in combination with organic biostimulants&#x2014;for mitigating sunburn in red (<italic>H. costaricensis</italic> &#x2018;CHESH-D1&#x2019;) and white (<italic>H.undatus</italic> &#x2018;CHESH-W1&#x2019;) dragon fruit genotypes. By assessing physiological parameters (canopy temperature, chlorophyll retention) and biochemical responses (MDA, antioxidant enzymes, phenolic and flavonoid content), we aim to identify cost-effective and climate-resilient strategies that support sustainable dragon fruit production in sunburn-prone environments.</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>Experimental site and weather conditions</title>
<p>The study was conducted over two consecutive years (2023&#x2013;2024) in a dragon fruit block at the Indian Institute of Horticultural Research (IIHR), Bengaluru, Karnataka, India (13.15&#xb0;N, 77.49&#xb0;E; elevation: 890 m above sea level). The region experiences a subtropical climate, with monthly temperatures ranging from 26&#xb0;C (December minimum) to 36&#xb0;C (April maximum) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). The mean temperature recorded during the study period was 24.92&#xb0;C. Relative humidity fluctuated seasonally, reaching 90% in July (peak monsoon) and dropping to 32% in March (driest month). Average wind speed was 3.94 km h<sup>-</sup>&#xb9;, occasionally peaking at 1.5 m s<sup>-1</sup> while daily sunshine duration extended to 12&#x2013;14 hours during summer. The experimental site featured sandy loam soil with slightly acidic pH (~5.6) and organic carbon content of ~0.9%. Weather data for this study were recorded at the Climatological Station located within ICAR-IIHR, ensuring site-specific accuracy in meteorological observations.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Plant material and treatments</title>
<p>The study utilized three-year-old plants of two dragon fruit genotypes developed by ICAR-IIHR, Central Horticultural Experiment Station, Hirehalli (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>): (i) CHESH-W1 (<italic>Hylocereus undatus</italic>), a photosensitive white-pulp selection producing oval fruits (450&#x2013;550 g) with TSS of 11&#x2013;12&#xb0;Brix and a yield potential of 42.5 kg/pole; and (ii) CHESH-D1 (<italic>H. costaricensis</italic>), a photo-insensitive red-pulp selection yielding round fruits (350&#x2013;400 g) with higher TSS (14.5&#xb0;Brix) and productivity of 49.5 kg/pole (<xref ref-type="bibr" rid="B56">Karunakaran et&#xa0;al., 2024</xref>). Prior to planting, the soil was amended with 10 kg of farmyard manure, 250 g of neem cake, and 250 g of single super phosphate per pole. After establishment, lateral growths were pruned to promote vertical climbing on support structures. Plants were trained using a single reinforced concrete pole system with cement rings, spaced uniformly at 3 &#xd7; 3 m (1110 poles/ha), accommodating four plants per structural unit (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Eleven treatments (T1&#x2013;T11) were evaluated for sunburn mitigation, comprising combinations of reflectants, physical barriers, neem-oil, bio-stimulants, and microbial agents as presented in table form. The Arka Microbial Consortium, developed by ICAR-IIHR, contained <italic>Pseudomonas fluorescens</italic>, <italic>Bacillus subtilis</italic>, <italic>Azospirillum brasilense</italic>, and <italic>Trichoderma harzianum</italic> (1:1:1:1 ratio) applied at 10<sup>6</sup>&#x2013;10<sup>7</sup> CFU/mL. All sprays were applied during early morning to minimize phytotoxicity risks. Details of treatments used for evaluation of sunburn mitigation in dragon fruit:</p>
<list list-type="simple">
<list-item>
<p>T1.&#x2003;Water spray (control)</p>
</list-item>
<list-item>
<p>T2.&#x2003;Kaolin (5%) + Green shade net (30%)</p>
</list-item>
<list-item>
<p>T3.&#x2003;Kaolin (5%) + Seaweed (0.5%)</p>
</list-item>
<list-item>
<p>T4.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Silica (0.5%)</p>
</list-item>
<list-item>
<p>T5.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Micronutrients (0.5%)</p>
</list-item>
<list-item>
<p>T6.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Petroleum oil (0.5%)</p>
</list-item>
<list-item>
<p>T7.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Salicylic acid (0.5%)</p>
</list-item>
<list-item>
<p>T8.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Arka Neem soap (0.5%)</p>
</list-item>
<list-item>
<p>T9.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Arka Neem soap (0.5%) + Arka Microbial Consortium (0.5%)</p>
</list-item>
<list-item>
<p>T10.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Arka Microbial Consortium (0.5%)</p>
</list-item>
<list-item>
<p>T11.&#x2003;Kaolin (5%) + Seaweed (0.5%) + Brassinosteroids (0.5%)</p>
</list-item>
</list>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Canopy temperature and light interception</title>
<p>The canopy temperature observations were recorded by using VarioCAM<sup>&#xae;</sup> HD head 600 infrared camera through thermal imaging in different treatments. The camera features a high-resolution uncooled microbolometer focal plane array, operating within the 7.5 to 14 &#xb5;m spectral range. It provides dependable thermal readings, while its thermal resolution of 0.03 K at 30&#xb0;C allows precise detection of minor temperature fluctuations. The thermal images were obtained from canopy top during 12 noon to 12.30 pm. The average canopy temperature was extracted using IRBIS software. The light interception under shade net and outside shade net was determined on clear days by measuring photosynthetically active radiation (PAR) at IST 13:00 hours, utilizing a Li-Cor Li-190SA quantum sensor instrument (Li-Cor, Lincoln, NE) attached to a data receiver, following the method outlined by <xref ref-type="bibr" rid="B39">Flenet et&#xa0;al. (1996)</xref>.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quantification of chlorophyll pigments</title>
<p>Chlorophyll a, b, and total chlorophyll content in cladode tissue were estimated using dimethyl sulfoxide (DMSO) following the protocol of <xref ref-type="bibr" rid="B52">Inskeep and Bloom (1985)</xref>, with modifications for succulent tissue. Fresh samples (1 g) were incubated in 7.0 mL DMSO at 65&#xb0;C for 60 minutes. The supernatant was adjusted to 10 mL with DMSO, and absorbance measured at 480, 645, and 663 nm (DMSO blank). Concentrations (mg g<sup>-</sup>&#xb9; FW) were calculated as:</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>Chlorophyll&#xa0;a</mml:mtext>
<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>12.7</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mtext>A</mml:mtext>
<mml:mrow>
<mml:mn>663</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mn>2.69</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mtext>A</mml:mtext>
<mml:mrow>
<mml:mn>645</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mtext>V</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>W</mml:mtext>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>Chlorophyll&#xa0;b</mml:mtext>
<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>22.9</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mtext>A</mml:mtext>
<mml:mrow>
<mml:mn>645</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mn>4.68</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msub>
<mml:mtext>A</mml:mtext>
<mml:mrow>
<mml:mn>663</mml:mn>
</mml:mrow>
</mml:msub>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mtext>V</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
<mml:mtext>W</mml:mtext>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mtext>Total&#xa0;chlorophyll</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext>Chlorophyll&#xa0;a</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mtext>Chlorophyll&#xa0;b</mml:mtext>
</mml:mrow>
</mml:math>
</disp-formula>
<p>where V=final volume (10 mL) and W=sample weight (1 g).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Percent sunburn and disease incidence</title>
<p>Sunburn and disease incidence were evaluated <italic>in situ</italic> using standardized visual protocols adapted from <xref ref-type="bibr" rid="B21">Chang et&#xa0;al. (2016)</xref>. Sunburn severity was characterized by chlorotic-necrotic lesions on sun-exposed cladodes, with incidence calculated as the percentage of affected cladodes per plant. Sunburn was quantified as:</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtable>
<mml:mtr columnalign="left">
<mml:mtd columnalign="left">
<mml:mtext>Sunburn&#xa0;</mml:mtext>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mtext>Number&#xa0;of&#xa0;cladodes&#xa0;with&#xa0;sunburn&#xa0;symptoms</mml:mtext>
<mml:mo stretchy="false">/</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr columnalign="left">
<mml:mtd columnalign="left">
<mml:mrow>
<mml:mrow>
<mml:mtext>Total&#xa0;observed&#xa0;cladodes</mml:mtext>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:math>
</disp-formula>
<p>Disease Severity: To evaluate pathogen susceptibility, Percent Disease Index (PDI) was calculated for stem canker (<italic>Neoscytalidium dimidiatum</italic>) and stem rot (<italic>Fusarium</italic> spp.). Symptoms were assessed using a standardized 0&#x2013;5 scale based on lesion progression and necrosis extent:</p>
<list list-type="simple">
<list-item>
<p>0.&#x2003;No visible symptoms</p>
</list-item>
<list-item>
<p>1.&#x2003;1&#x2013;10% area infected (minor localized lesions)</p>
</list-item>
<list-item>
<p>2.&#x2003;11&#x2013;25% area infected (small sunken lesions)</p>
</list-item>
<list-item>
<p>3.&#x2003;26&#x2013;50% area infected (moderate necrosis)</p>
</list-item>
<list-item>
<p>4.&#x2003;51&#x2013;75% area infected (large necrotic regions)</p>
</list-item>
<list-item>
<p>5.&#x2003;&gt;75% area infected (severe necrosis/rot)</p>
</list-item>
</list>
<p>The PDI for each species and disease type was calculated using the following formula:</p>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:mtable>
<mml:mtr columnalign="left">
<mml:mtd columnalign="left">
<mml:mtext>PDI</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">[</mml:mo>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mtext>Disease&#xa0;rating&#xa0;&#xd7;&#xa0;Number&#xa0;of&#xa0;plants&#xa0;in&#xa0;that&#xa0;rating</mml:mtext>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mo>&#xf7;</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr columnalign="left">
<mml:mtd columnalign="left">
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mtext>Total&#xa0;number&#xa0;of&#xa0;plants&#xa0;observed</mml:mtext>
<mml:mo>&#xd7;</mml:mo>
<mml:mtext>&#xa0;Maximum&#xa0;disease&#xa0;rating</mml:mtext>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo stretchy="false">]</mml:mo>
</mml:mrow>
</mml:mtd>
</mml:mtr>
<mml:mtr columnalign="left">
<mml:mtd columnalign="left">
<mml:mo>&#xd7;</mml:mo>
<mml:mn>100</mml:mn>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:mrow>
</mml:math>
</disp-formula>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Estimation of phenols, flavonoids, antioxidants, activity of antioxidant enzymes and lipid peroxidation</title>
<p>For phytochemical analysis, approximately 5 g of fresh dragon fruit tissue from each genotype was extracted with 10 mL of 80% aqueous ethanol (v/v) using ultrasonic-assisted extraction (Labocon LUC104) at 60&#xb0;C for 30 min in the dark. After centrifugation at 5,000 &#xd7; g for 15 min, the supernatant was collected and the residue was re-extracted twice. The combined supernatants were concentrated using a rotary evaporator (Heidolph Hei-VAP Advantage) and redissolved in 5 mL of distilled water before storage at -20&#xb0;C until analysis. Total phenolic content was determined using the Folin-Ciocalteu method (<xref ref-type="bibr" rid="B99">Singleton et&#xa0;al., 1999</xref>), with results expressed as mg gallic acid equivalents (GAE) per 100 g fresh weight. Total flavonoid content was measured according to the aluminium chloride colorimetric assay (<xref ref-type="bibr" rid="B115">Zhishen et&#xa0;al., 1999</xref>). Antioxidant capacity was evaluated through three complementary assays: DPPH radical scavenging activity was assessed following <xref ref-type="bibr" rid="B19">Brand-Williams et&#xa0;al. (1995)</xref>, with results calculated as: % scavenging [(Acontrol-Asample)/Acontrol] &#xd7; 100 and expressed as SC50 values (&#x3bc;mol Trolox equivalents/100 g FW); FRAP assay was performed according to <xref ref-type="bibr" rid="B15">Benzie and Strain (1996)</xref> by measuring absorbance at 593 nm; and CUPRAC activity was determined following <xref ref-type="bibr" rid="B11">Apak et&#xa0;al. (2004)</xref> with absorbance measurements at 450 nm. Data from FRAP assay is shown in results; other assays showed similar trends. Antioxidant enzyme activities, including superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), were assayed according to <xref ref-type="bibr" rid="B114">Zhang and Kirkham (1996)</xref>. The assay was performed using potassium phosphate buffer (pH 7.8), prepared by mixing 90 mL of Solution A (1.22 g KOH in 100 mL water) with 10 mL of Solution B (2.422 g KH<sub>2</sub>PO<sub>4</sub> in 100 mL water) and adjusting to a final volume of 200 mL. Reaction mixtures contained 1.6 mL buffer, 0.1 mL Na<sub>2</sub>CO<sub>3</sub> (1% w/v), 0.3 mL NBT (0.1% w/v), 0.3 mL methionine (0.1% w/v), 0.1 mL enzyme extract, 0.3 mL EDTA (0.1% w/v), and 0.3 mL riboflavin (0.1% w/v). Tubes were covered with aluminum foil to prevent light interference, and absorbance was measured at 560 nm. The reaction mixture consisted of 2.55 mL phosphate buffer (pH 7.0), 0.2 mL ortho-phenylenediamine (OPD; 0.05% w/v), 0.2 mL H<sub>2</sub>O<sub>2</sub> (0.1% v/v), and 0.05 mL enzyme extract, adjusted to a final volume of 3 mL. Absorbance was recorded at 290 nm. CAT activity was measured following the POD protocol but without OPD, and absorbance was read at 310 nm. Lipid peroxidation was assessed by quantifying MDA content using the thiobarbituric acid (TBA) method (<xref ref-type="bibr" rid="B50">Heath and Packer, 2022</xref>). Briefly, 1 mL of supernatant was mixed with 3 mL of 20% trichloroacetic acid containing 0.5% TBA, heated at 95&#xb0;C for 30 min, and cooled on ice. After centrifugation (10,000 &#xd7; <italic>g</italic>, 10 min), absorbance was measured at 532 nm, subtracting nonspecific absorption at 600 nm. MDA concentration was calculated using an extinction coefficient of 155 mM<sup>-</sup>&#xb9; cm<sup>-</sup>&#xb9;.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Estimation of mineral content</title>
<p>Samples of control and T8, T9 treated plants were processed, separated and dried in the oven at 60&#xb0;C to constant weight procedure as described by <xref ref-type="bibr" rid="B83">Piper (1966)</xref>, grinded in porcelain pestle and mortar and stored in air tight containers. The analysis was carried out using three independent replications for each accession. The concentration of nitrogen in samples was determined by Kjeldhal&#x2019;s method (KjeltekAut-Analyzer, Gerhardt, Germany), phosphorous by Vanadomolybdate method using UV-visible Spectrophotometer (Shimadzu UV-1900i, Milton Keynes MK12 SRE, UK) and potassium by flame photometer. The concentration of calcium, magnesium and micronutrients were determined using Atomic Absorption Spectrophotometer (AAS 280 FS Agilent Technologies, Santa Clara, USA) by wet digest method with HNO3 and HCLO4 in 10:4 ratio.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Microscopic analysis of stomatal and epicuticular wax structures</title>
<p>Mature cladodes of control and treated plants were collected from all directions of the dragon fruit plant at 11:00 a.m. (IST). The sampled cladodes were sectioned into small pieces (1 cm&#xb2; surface area, 1 mm depth) and mounted on copper tape for microscopic analysis. Stomatal and epicuticular wax structures were examined using two imaging systems: iMOS Microscope: Coupled with a MiaCam camera, this system was used to document changes in stomatal morphology across treatments at varying magnifications (e.g., &#xd7;200, &#xd7;500). TM3030Plus Tabletop Scanning Electron Microscope (SEM, Hitachi, Japan): High-resolution SEM imaging was performed to analyze fine structural details of both stomata and epicuticular wax deposits.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Statistical analysis</title>
<p>The experiment was laid out in completely randomized block design with eleven treatments and replicated thrice with twelve poles per replication. The data was collected from three technical replicates of each genotype for all parameters which was subjected to analysis of variance (ANOVA) and significant differences were evaluated at 5% level of significance followed by least significant difference test in &#x2018;R&#x2019; studio for Windows (Versions 4.1.1 and 1.4.1417). Principal component analysis (PCA), cluster heat map and correlation analyses (Pearson test) were performed using &#x2018;ggplot2&#x2019; library.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Effect of treatments on the canopy temperature, chlorophyll content, sunburn and disease incidence</title>
<p>Protective spray treatments revealed significant differential responses (<italic>P&lt; 0.01</italic>) across all measured parameters viz., canopy temperature, chlorophyll content, sunburn incidence, and disease resistance. Thermal imaging of the plants was utilized to record the canopy temperatures under stress. The control condition (T1) resulted in the highest canopy temperatures in both genotypes, with 43.73&#xb0;C in the white pulp genotype and 41.30&#xb0;C in the red, indicating greater heat stress under untreated conditions (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). In contrast, T8 (kaolin + seaweed + neem soap 0.5%) significantly reduced canopy temperatures by 12.2% in the white pulp genotype (38.40&#xb0;C) and by 12.6% in the red pulp genotype (36.08&#xb0;C), the lowest among all treatments. Kaoline + seaweed-based neem soap was found to be most effective in temperature regulation, with the red pulp genotype exhibiting inherently better thermal tolerance across treatments.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Effect of spray treatments on the canopy temperature and chlorophyll content of white and red pulp dragon fruit.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left">Treatment</th>
<th valign="middle" colspan="2" align="left">Canopy temp</th>
<th valign="middle" colspan="2" align="left">Chlorophyll a</th>
<th valign="middle" colspan="2" align="left">Chlorophyll b</th>
<th valign="middle" colspan="2" align="left">Total chlorophyll</th>
</tr>
<tr>
<th valign="middle" colspan="2" align="left">(&#xb0;C)</th>
<th valign="middle" colspan="2" align="left">(mg g-1 FW)</th>
<th valign="middle" colspan="2" align="left">(mg g-1 FW)</th>
<th valign="middle" colspan="2" align="left">(mg g-1 FW)</th>
</tr>
<tr>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">T1</td>
<td valign="middle" align="left">43.73a</td>
<td valign="middle" align="left">41.30b</td>
<td valign="middle" align="left">1.42h</td>
<td valign="middle" align="left">2.02f</td>
<td valign="middle" align="left">0.32i</td>
<td valign="middle" align="left">0.32i</td>
<td valign="middle" align="left">1.74j</td>
<td valign="middle" align="left">2.34ghi</td>
</tr>
<tr>
<td valign="middle" align="left">T2</td>
<td valign="middle" align="left">39.50b-g</td>
<td valign="middle" align="left">38.02gh</td>
<td valign="middle" align="left">2.13cd</td>
<td valign="middle" align="left">2.21bc</td>
<td valign="middle" align="left">0.51bc</td>
<td valign="middle" align="left">0.40fg</td>
<td valign="middle" align="left">2.64bc</td>
<td valign="middle" align="left">2.72cd</td>
</tr>
<tr>
<td valign="middle" align="left">T3</td>
<td valign="middle" align="left">40.26b-e</td>
<td valign="middle" align="left">40.17b-f</td>
<td valign="middle" align="left">1.71f</td>
<td valign="middle" align="left">2.01f</td>
<td valign="middle" align="left">0.42f</td>
<td valign="middle" align="left">0.41g</td>
<td valign="middle" align="left">2.13i</td>
<td valign="middle" align="left">2.43fg</td>
</tr>
<tr>
<td valign="middle" align="left">T4</td>
<td valign="middle" align="left">40.72bc</td>
<td valign="middle" align="left">39.51b-g</td>
<td valign="middle" align="left">1.43h</td>
<td valign="middle" align="left">1.97f</td>
<td valign="middle" align="left">0.40f</td>
<td valign="middle" align="left">0.41fg</td>
<td valign="middle" align="left">1.83j</td>
<td valign="middle" align="left">2.37fgh</td>
</tr>
<tr>
<td valign="middle" align="left">T5</td>
<td valign="middle" align="left">40.44b-d</td>
<td valign="middle" align="left">39.15c-g</td>
<td valign="middle" align="left">1.92f</td>
<td valign="middle" align="left">2.03def</td>
<td valign="middle" align="left">0.50d</td>
<td valign="middle" align="left">0.30h</td>
<td valign="middle" align="left">2.42fg</td>
<td valign="middle" align="left">2.53ef</td>
</tr>
<tr>
<td valign="middle" align="left">T6</td>
<td valign="middle" align="left">40.42b-d</td>
<td valign="middle" align="left">39.31b-g</td>
<td valign="middle" align="left">1.73g</td>
<td valign="middle" align="left">1.96f</td>
<td valign="middle" align="left">0.41e</td>
<td valign="middle" align="left">0.32i</td>
<td valign="middle" align="left">2.14hi</td>
<td valign="middle" align="left">2.37fgh</td>
</tr>
<tr>
<td valign="middle" align="left">T7</td>
<td valign="middle" align="left">39.84b-g</td>
<td valign="middle" align="left">38.24fg</td>
<td valign="middle" align="left">2.03f</td>
<td valign="middle" align="left">2.15cde</td>
<td valign="middle" align="left">0.53cd</td>
<td valign="middle" align="left">0.41fg</td>
<td valign="middle" align="left">2.56ef</td>
<td valign="middle" align="left">2.68de</td>
</tr>
<tr>
<td valign="middle" align="left">T8</td>
<td valign="middle" align="left">38.40e-g</td>
<td valign="middle" align="left">36.08h</td>
<td valign="middle" align="left">2.41a</td>
<td valign="middle" align="left">2.31ab</td>
<td valign="middle" align="left">0.81a</td>
<td valign="middle" align="left">0.40e</td>
<td valign="middle" align="left">3.22a</td>
<td valign="middle" align="left">2.82b</td>
</tr>
<tr>
<td valign="middle" align="left">T9</td>
<td valign="middle" align="left">39.34b-g</td>
<td valign="middle" align="left">38.00gh</td>
<td valign="middle" align="left">2.22bc</td>
<td valign="middle" align="left">2.31abc</td>
<td valign="middle" align="left">0.51b</td>
<td valign="middle" align="left">0.33fg</td>
<td valign="middle" align="left">2.73b</td>
<td valign="middle" align="left">2.82bc</td>
</tr>
<tr>
<td valign="middle" align="left">T10</td>
<td valign="middle" align="left">41.00bc</td>
<td valign="middle" align="left">40.10b-f</td>
<td valign="middle" align="left">1.51h</td>
<td valign="middle" align="left">2.03def</td>
<td valign="middle" align="left">0.32i</td>
<td valign="middle" align="left">0.40fg</td>
<td valign="middle" align="left">1.83j</td>
<td valign="middle" align="left">2.35ef</td>
</tr>
<tr>
<td valign="middle" align="left">T11</td>
<td valign="middle" align="left">40.03b-f</td>
<td valign="middle" align="left">38.46d-g</td>
<td valign="middle" align="left">2.04ef</td>
<td valign="middle" align="left">2.12cd</td>
<td valign="middle" align="left">0.50cd</td>
<td valign="middle" align="left">0.42fg</td>
<td valign="middle" align="left">2.54de</td>
<td valign="middle" align="left">2.62cd</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values with the same upper case were not significantly different in LSD test <italic>(p&lt; 0.05).</italic>
</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Thermal imaging of red and white pulp dragon fruit canopy temperature under different treatments. <bold>(A, C)</bold> T1: Water spray (control) showed higher canopy temperatures, with most cladodes exceeding 40&#xb0;C <bold>(B, D)</bold> T8: Kaolin (5%) + Seaweed (0.5%) + Neem soap (0.5%) treatment demonstrated lower canopy temperatures, suggesting improved heat mitigation and reduced thermal stress. The color gradient represents temperature variations, with warmer tones (pink/red) indicating higher temperatures and cooler tones (blue/green) indicating lower temperatures.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g001.tif">
<alt-text content-type="machine-generated">Thermal images of plants divided into four panels, labeled A through D. Panels A and B show plants with red pulp, and panels C and D show plants with white pulp. Each panel includes a temperature scale ranging from 20 to 45 degrees Celsius, indicated by a color gradient from blue to red. The vibrant colors represent temperature variations across the plants.</alt-text>
</graphic>
</fig>
<p>The contents of chlorophyll &#x2018;a&#x2019; (Chl-a), chlorophyll &#x2018;b&#x2019; (Chl-b) and total chlorophyll (Chl) were assessed to understand the behavior of photosynthetic pigments under heat and light stress. The control (T1) recorded the lowest Chl-a content (1.4 mg g<sup>-1</sup>FW in white and 2.0 mg g<sup>-1</sup>FW in red), while T8 significantly increased Chl-a by 71.4% in the white pulp genotype (2.4 mg g<sup>-1</sup>FW). Notably, the red pulp genotype consistently maintained higher Chl-a across treatments, suggesting superior photosynthetic stability. Chl-b followed a different trend, with the white pulp genotype recording higher levels than red in most treatments. The highest total chlorophyll content was observed under T8 in the white pulp genotype (3.3 mg g<sup>-1</sup>FW), reflecting an 83.3% increase over the control, followed by T9 (55.6% increase) and T2 (55.6% increase) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<p>Excessive exposure to sunlight, combined with high temperatures, resulted in visible tissue damage on cladodes, often manifesting as yellowing. Light intensity was 1348.05 &#xb5;mol photons m<sup>-</sup>&#xb2; s<sup>-</sup>&#xb9; in the open field and 633.76 &#xb5;mol photons m<sup>-</sup>&#xb2; s<sup>-</sup>&#xb9; under the shade net, representing a 53% reduction in photosynthetically active radiation under a 30% green shade net. Sunburn incidence decreased significantly under shade net and protective spray treatments. The untreated control recorded the highest sunburn incidence (78.6% in white and 82.1% in red). In contrast, T2 (Kaolin + Green Shade Net) exhibited the greatest reduction, limiting sunburn to 19.3% in white and 19.8% in red (75.9% reduction) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Kaolin based neem treatments such as T8 and T9 also showed significant reductions in sunburn incidence (61.8% reduction for T8 in white and 73.2% reduction for T9 in red). These trends were strongly correlated with reduced canopy temperature and improved chlorophyll retention, underscoring the physiological importance of these parameters in sunburn mitigation.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Effect of sunburn mitigation treatments (T2-T11) on sunburn injury (%) in red and white dragon fruit genotypes compared to untreated T1 (control).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g002.tif">
<alt-text content-type="machine-generated">Bar chart comparing sunburn percentages across eleven treatments for red and white types. Red bars are higher for T1, T3, T4, T5, T10, and T11, while white bars are higher for T2, T6, T7, T8, and T9. Error bars and annotated letters indicate statistical differences between treatments.</alt-text>
</graphic>
</fig>
<p>Sunburn is known to increase the incidence of diseases in affected plants. Sunburn weakens plant tissues, making them more susceptible to secondary infections by fungi, bacteria, and other pathogens (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Disease incidence followed similar trends as sunburn injury, with the white pulp genotype exhibiting a significant 49.6% reduction under T8 (2.03) and 37.0% reduction under T2 (2.54), compared to a high disease score of 4.03 in the control (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). Interestingly, while neem soap proved most effective in the white pulp genotype, the red pulp genotype responded better to T11 (Kaolin + Seaweed + Brassinoids), recording a disease score of 2.56. This suggests a genotype-specific hormonal response potentially mediated by brassinosteroids.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Top panel showing the progress of <bold>(a)</bold> yellowing, <bold>(b)</bold> sunburn and <bold>(c)</bold> stem rot in untreated plants. Bottom picture shows the treated plants free from sunburn and disease symptoms.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g003.tif">
<alt-text content-type="machine-generated">Grouped images showing various stages of dragon fruit plants and plantation. Image (a) shows healthy green stems with minor blemishes. Image (b) displays yellowing stems, indicating stress. Image (c) depicts advanced yellowing and damage. The bottom image illustrates a dragon fruit plantation with rows of cacti on red soil.</alt-text>
</graphic>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Effect of sunburn mitigation treatments (T2-T11) on disease incidence in red and white dragon fruit genotypes compared to untreated T1 (control).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g004.tif">
<alt-text content-type="machine-generated">Bar chart showing disease scores for treatments T1 to T11. Red bars represent one type and blue bars another. Scores range from 1 to 5, with annotations indicating statistical significance. Error bars denote variability.</alt-text>
</graphic>
</fig>
<p>Among the two genotypes, the red pulp genotype displayed better inherent tolerance across most parameters, including consistently lower canopy temperatures, higher Chl- a content, and moderate disease incidence. However, the white pulp genotype responded more favorably to physical protectants such as T2 and T8, particularly in reducing sunburn and preserving chlorophyll.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Effect of treatments on the stomatal and epicuticular wax structures</title>
<p>Microscopic analysis of stomatal and epicuticular wax structures in untreated and treated dragon fruit plants (T8) revealed noticeable contrasts in cuticular integrity and stomatal morphology. Scanning electron microscopy (SEM) images demonstrated that untreated samples of both the genotypes (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, C</bold>
</xref>) exhibited severe wax disintegration, with staggered, flaccid stomata and fractured epicuticular layers, indicative of environmental stress (heat and UV damage). These structural deformities likely compromised the plant&#x2019;s ability to regulate transpiration and retain moisture, exacerbating sunburn susceptibility. In contrast, treated samples (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5B, D</bold>
</xref>) displayed turgid, well-organized stomata and intact epicuticular wax layers, underscoring the protective role of the treatments. The preservation of wax structures is critical for reducing water loss and reflecting excess radiation, suggests that treatments (e.g., kaolin-based neem soap or shade net combinations) mitigated cuticular damage. Notably, the turgidity of stomata in treated plants (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>) implies improved cellular hydration and osmotic regulation, which are vital for stress resilience. These results align with the physiological data, confirming that protective treatments preserve cuticular structures, thereby reducing sunburn incidence and enhancing stress tolerance.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Microscopic analysis of stomatal and epicuticular wax structures in untreated and treated (T8) dragon fruit samples. Untreated samples <bold>(A, C)</bold> show wax disintegration and disrupted stomatal structures. Treated samples <bold>(B, D)</bold> exhibit intact stomatal structures and well-preserved wax layers under SEM indicating the efficacy of the applied treatment in maintaining cuticular integrity. Scale bars: 500 &#xb5;m <bold>(A, B)</bold>, 20 &#xb5;m <bold>(C, D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g005.tif">
<alt-text content-type="machine-generated">Four microscopic images labeled A, B, C, and D show textured surfaces with circular patterns. Image A and B are in grayscale, showing rough textures with arrows highlighting certain features. Image C and D are in color, displaying light green and purple hues with circular patterns. Arrows in each image point to specific elements within the structures.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Effect of treatments on phenols, flavonoids and antioxidants</title>
<p>To assess the influence of sunburn mitigating treatments on biochemical profile of red and white pulp genotypes the phenolic content, flavonoid accumulation, and antioxidant capacity was estimated (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). These compounds play a crucial role in protecting plants from sunburn and UV damage by acting as UV filters and antioxidants. Notably, total phenol content was generally higher in the white pulp genotype under most treatments, except for T5 (Micronutrients) and T6 (Petroleum Oil), where the red pulp genotype exhibited comparable or slightly elevated levels. The highest phenol concentrations were recorded in the control (T1), with 1.78 mg g<sup>-</sup>&#xb9; in white and 1.72 mg g<sup>-</sup>&#xb9; in red pulp genotype. Treatments typically reduced phenolic accumulation, with the most significant declines observed under T8 (Neem Soap: &#x2212;34.8% in white, &#x2212;32.0% in red) and T9 (Neem Soap + Arka Microbial Consortium: &#x2212;24.7% in white, &#x2212;21.5% in red). Conversely, T10 (Arka Microbial Consortium) preserved phenol content effectively in the white pulp genotype, while T6 in the red pulp genotype showed slight increase compared to the control.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Effect of spray treatments on the bioactive compounds of white and red pulp dragon fruit cultivars.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Treatment</th>
<th valign="middle" colspan="2" align="center">Phenols (mg/g FW)</th>
<th valign="middle" colspan="2" align="center">Flavonoids (mg/g FW)</th>
<th valign="middle" colspan="2" align="center">Antioxidants (mg/g FW)</th>
</tr>
<tr>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">T1</td>
<td valign="middle" align="left">1.78a</td>
<td valign="middle" align="left">1.72a</td>
<td valign="middle" align="left">1.11bc</td>
<td valign="middle" align="left">1.25a</td>
<td valign="middle" align="left">2.39bcd</td>
<td valign="middle" align="left">2.61a</td>
</tr>
<tr>
<td valign="middle" align="center">T2</td>
<td valign="middle" align="left">1.44de</td>
<td valign="middle" align="left">1.39de</td>
<td valign="middle" align="left">0.83ijk</td>
<td valign="middle" align="left">0.94efgh</td>
<td valign="middle" align="left">2.35bcde</td>
<td valign="middle" align="left">2.12fgh</td>
</tr>
<tr>
<td valign="middle" align="center">T3</td>
<td valign="middle" align="left">1.65ab</td>
<td valign="middle" align="left">1.42de</td>
<td valign="middle" align="left">1.06cd</td>
<td valign="middle" align="left">0.98de</td>
<td valign="middle" align="left">2.37bcde</td>
<td valign="middle" align="left">2.48abc</td>
</tr>
<tr>
<td valign="middle" align="center">T4</td>
<td valign="middle" align="left">1.52bcd</td>
<td valign="middle" align="left">1.40de</td>
<td valign="middle" align="left">0.94efghi</td>
<td valign="middle" align="left">0.91efghi</td>
<td valign="middle" align="left">2.52ab</td>
<td valign="middle" align="left">2.27defg</td>
</tr>
<tr>
<td valign="middle" align="center">T5</td>
<td valign="middle" align="left">1.45de</td>
<td valign="middle" align="left">1.64abc</td>
<td valign="middle" align="left">0.87efghij</td>
<td valign="middle" align="left">1.14abc</td>
<td valign="middle" align="left">2.50ab</td>
<td valign="middle" align="left">2.17efgh</td>
</tr>
<tr>
<td valign="middle" align="center">T6</td>
<td valign="middle" align="left">1.47cde</td>
<td valign="middle" align="left">1.73a</td>
<td valign="middle" align="left">0.89efghi</td>
<td valign="middle" align="left">1.88ab</td>
<td valign="middle" align="left">2.47abcd</td>
<td valign="middle" align="left">2.30cdef</td>
</tr>
<tr>
<td valign="middle" align="center">T7</td>
<td valign="middle" align="left">1.48bcde</td>
<td valign="middle" align="left">1.35def</td>
<td valign="middle" align="left">0.85hij</td>
<td valign="middle" align="left">0.86ghij</td>
<td valign="middle" align="left">2.45abcd</td>
<td valign="middle" align="left">2.08ghi</td>
</tr>
<tr>
<td valign="middle" align="center">T8</td>
<td valign="middle" align="left">1.16g</td>
<td valign="middle" align="left">1.17fg</td>
<td valign="middle" align="left">0.63m</td>
<td valign="middle" align="left">0.68lm</td>
<td valign="middle" align="left">2.34bcde</td>
<td valign="middle" align="left">1.88i</td>
</tr>
<tr>
<td valign="middle" align="center">T9</td>
<td valign="middle" align="left">1.34efg</td>
<td valign="middle" align="left">1.35def</td>
<td valign="middle" align="left">0.76jkl</td>
<td valign="middle" align="left">0.70lm</td>
<td valign="middle" align="left">2.41abcd</td>
<td valign="middle" align="left">1.97hi</td>
</tr>
<tr>
<td valign="middle" align="center">T10</td>
<td valign="middle" align="left">1.73a</td>
<td valign="middle" align="left">1.34def</td>
<td valign="middle" align="left">0.96defg</td>
<td valign="middle" align="left">0.97def</td>
<td valign="middle" align="left">2.51ab</td>
<td valign="middle" align="left">2.35bcde</td>
</tr>
<tr>
<td valign="middle" align="center">T11</td>
<td valign="middle" align="left">1.47cde</td>
<td valign="middle" align="left">1.38de</td>
<td valign="middle" align="left">0.87fghij</td>
<td valign="middle" align="left">0.73klm</td>
<td valign="middle" align="left">2.47abcd</td>
<td valign="middle" align="left">2.07ghi</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values with the same superscript were not significantly different in LSD test <italic>(p&lt; 0.05).</italic>
</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The red pulp genotype maintained higher flavonoid levels across most treatments. The control (T1) recorded the highest flavonoid content (1.11 mg g<sup>-</sup>&#xb9; in white; 1.25 mg g<sup>-</sup>&#xb9; in red). Among treatments, T6 (Petroleum Oil) increased flavonoids in the red pulp genotype by 50.4%, while T8 caused the largest reductions (&#x2212;43.2% in white, &#x2212;45.6% in red). The white pulp genotype exhibited a more gradual and uniform decline in flavonoid content across treatments, whereas the red pulp genotype showed greater variability, reflecting genotype-specific sensitivity.</p>
<p>Antioxidant activity followed trends similar to phenols, with the control (T1) displaying the highest antioxidant content, particularly in the red pulp genotype. The white pulp genotype maintained relatively stable antioxidant levels under different treatments, while the red pulp genotype showed more pronounced fluctuations, with T8 (Kaolin based Neem Soap) causing the steepest decline (&#x2212;28.0%) aligning with its suppressive effects on phenols and flavonoids. Treatments such as T10 and T6 supported antioxidant retention in both genotypes, while silica (T4) and micronutrient (T5) applications were particularly beneficial in the white pulp genotype. The kaolin-based neem treatments (T8 and T9) significantly reduced all three biochemical traits in both genotypes, whereas microbial and oil-based formulations demonstrated greater potential in preserving or enhancing bioactive metabolite levels.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Effect of treatments on oxidative enzyme activity</title>
<p>The activities of key oxidative stress-related enzymes, including superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT), were significantly influenced by the applied treatments in both white and red pulp genotypes (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). SOD activity was highest in the control (T1) and Petroleum Oil treatment (T6), registering 1.63 U mg<sup>-</sup>&#xb9; in the white and 1.61 U mg<sup>-</sup>&#xb9; in the red pulp genotype. This elevated activity in untreated and oil-treated plants suggests higher oxidative stress under these conditions. In contrast, T8 (Kaolin based Neem Soap) significantly reduced SOD activity by 62.6% in white and 31.7% in red, indicating effective stress mitigation. Moderate reductions were observed under T2 and T7, while T5 (Micronutrients) and T3 (Silica) maintained near-control levels in the red pulp genotype.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Effect of spray treatments on oxidative enzymes and MDA levels in white and red pulp dragon fruit cultivars.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Treatment</th>
<th valign="middle" colspan="2" align="left">SOD (units mg<sup>-</sup>&#xb9; protein)</th>
<th valign="middle" colspan="2" align="left">Peroxidase (units mg<sup>-</sup>&#xb9; protein)</th>
<th valign="middle" colspan="2" align="left">Catalase (units mg<sup>-</sup>&#xb9; protein)</th>
<th valign="middle" colspan="2" align="left">MDA (mg/100g)</th>
</tr>
<tr>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">T1</td>
<td valign="middle" align="left">1.63a</td>
<td valign="middle" align="left">1.61a</td>
<td valign="middle" align="left">2.67a</td>
<td valign="middle" align="left">2.52ab</td>
<td valign="middle" align="left">1.30ab</td>
<td valign="middle" align="left">1.42a</td>
<td valign="middle" align="left">5.02a</td>
<td valign="middle" align="left">4.50b</td>
</tr>
<tr>
<td valign="middle" align="left">T2</td>
<td valign="middle" align="left">1.13def</td>
<td valign="middle" align="left">1.31bc</td>
<td valign="middle" align="left">2.36bcd</td>
<td valign="middle" align="left">2.28cdef</td>
<td valign="middle" align="left">0.89f</td>
<td valign="middle" align="left">1.18bcd</td>
<td valign="middle" align="left">3.85d</td>
<td valign="middle" align="left">3.80d</td>
</tr>
<tr>
<td valign="middle" align="left">T3</td>
<td valign="middle" align="left">1.33b</td>
<td valign="middle" align="left">1.35b</td>
<td valign="middle" align="left">2.30cdef</td>
<td valign="middle" align="left">2.22cdefgh</td>
<td valign="middle" align="left">1.01cdef</td>
<td valign="middle" align="left">1.30ab</td>
<td valign="middle" align="left">4.18c</td>
<td valign="middle" align="left">3.64ef</td>
</tr>
<tr>
<td valign="middle" align="left">T4</td>
<td valign="middle" align="left">1.17cdef</td>
<td valign="middle" align="left">1.31bc</td>
<td valign="middle" align="left">2.25cdefg</td>
<td valign="middle" align="left">2.17defgh</td>
<td valign="middle" align="left">0.92ef</td>
<td valign="middle" align="left">1.19abc</td>
<td valign="middle" align="left">3.70e</td>
<td valign="middle" align="left">3.35g</td>
</tr>
<tr>
<td valign="middle" align="left">T5</td>
<td valign="middle" align="left">1.54a</td>
<td valign="middle" align="left">1.54a</td>
<td valign="middle" align="left">2.18defgh</td>
<td valign="middle" align="left">2.10fghi</td>
<td valign="middle" align="left">1.16bcd</td>
<td valign="middle" align="left">1.15bcd</td>
<td valign="middle" align="left">3.58f</td>
<td valign="middle" align="left">3.10h</td>
</tr>
<tr>
<td valign="middle" align="left">T6</td>
<td valign="middle" align="left">1.62a</td>
<td valign="middle" align="left">1.61a</td>
<td valign="middle" align="left">2.17defgh</td>
<td valign="middle" align="left">2.08ghi</td>
<td valign="middle" align="left">1.20abc</td>
<td valign="middle" align="left">1.17bcd</td>
<td valign="middle" align="left">3.42g</td>
<td valign="middle" align="left">3.04h</td>
</tr>
<tr>
<td valign="middle" align="left">T7</td>
<td valign="middle" align="left">1.10ef</td>
<td valign="middle" align="left">1.26bcd</td>
<td valign="middle" align="left">2.14efghi</td>
<td valign="middle" align="left">2.06ghi</td>
<td valign="middle" align="left">0.79fg</td>
<td valign="middle" align="left">1.12bcde</td>
<td valign="middle" align="left">2.81i</td>
<td valign="middle" align="left">2.45k</td>
</tr>
<tr>
<td valign="middle" align="left">T8</td>
<td valign="middle" align="left">0.61h</td>
<td valign="middle" align="left">1.10fg</td>
<td valign="middle" align="left">2.01hi</td>
<td valign="middle" align="left">1.93i</td>
<td valign="middle" align="left">0.55h</td>
<td valign="middle" align="left">0.98cdef</td>
<td valign="middle" align="left">2.71j</td>
<td valign="middle" align="left">2.45k</td>
</tr>
<tr>
<td valign="middle" align="left">T9</td>
<td valign="middle" align="left">0.95g</td>
<td valign="middle" align="left">1.24bcde</td>
<td valign="middle" align="left">2.53ab</td>
<td valign="middle" align="left">2.43bc</td>
<td valign="middle" align="left">0.66gh</td>
<td valign="middle" align="left">1.20abc</td>
<td valign="middle" align="left">2.52k</td>
<td valign="middle" align="left">2.20l</td>
</tr>
<tr>
<td valign="middle" align="left">T10</td>
<td valign="middle" align="left">1.25bcd</td>
<td valign="middle" align="left">1.26bcd</td>
<td valign="middle" align="left">2.23cdefg</td>
<td valign="middle" align="left">2.14efghi</td>
<td valign="middle" align="left">0.96def</td>
<td valign="middle" align="left">1.20abc</td>
<td valign="middle" align="left">2.17lm</td>
<td valign="middle" align="left">2.10m</td>
</tr>
<tr>
<td valign="middle" align="left">T11</td>
<td valign="middle" align="left">1.04fg</td>
<td valign="middle" align="left">1.25bcd</td>
<td valign="middle" align="left">2.20defgh</td>
<td valign="middle" align="left">2.33bcde</td>
<td valign="middle" align="left">0.88fg</td>
<td valign="middle" align="left">1.20abc</td>
<td valign="middle" align="left">1.78n</td>
<td valign="middle" align="left">1.43o</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values with the same superscript were not significantly different in LSD test <italic>(p&lt; 0.05).</italic>
</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>POD activity ranged from 2.01 to 2.67 U mg<sup>-</sup>&#xb9; in the white pulp genotype and 1.93 to 2.52 U mg<sup>-</sup>&#xb9; in the red pulp genotype. The control (T1) elicited the highest POD levels in both genotypes (2.67 U mg<sup>-</sup>&#xb9; in white; 2.52 U mg<sup>-</sup>&#xb9; in red), reflecting baseline oxidative stress. Among treatments, T8 showed the lowest activity with reduction of 24.7% and 23.4% in white and red respectively, while T9 (Kaolin+ seaweed+ Arka Neem Soap + Arka Microbial Consortium) partially preserved POD levels, with a minor reduction in the red pulp genotype (&#x2212;3.6%) compared to the white (&#x2212;5.2%). Notably, treatments like T2 and T10 exhibited intermediate declines, reflecting partial stress mitigation.</p>
<p>Catalase activity, another critical enzyme in oxidative stress response, followed a similar pattern. Under control, CAT activity was highest in the red pulp genotype (1.42 U mg<sup>-</sup>&#xb9;), while the white pulp genotype peaked at 1.30 U mg<sup>-</sup>&#xb9; suggesting genotypic differences. T8 induced the most severe reduction over control 57.7% in white, 31.0% in red, aligning with its suppressive effects on SOD and POD. T5 (Micronutrients) and T3 (Silica) maintained moderate activity in the white pulp genotype, whereas T6 (Petroleum Oil) preserved CAT levels in red (&#x2212;17.6%).</p>
<p>Among the enzymes, CAT was the most heat-sensitive, showing the largest reductions under T8 compared to the control: a 3.4-fold decrease in the white pulp genotype and a 1.5-fold decrease in the red. SOD followed with 2.7-fold (white) and 1.5-fold (red) declines under T8, while POD was the least affected in both genotypes (&#x2264;1.3-fold). Neem Soap (T8) was the most effective treatment for lowering oxidative stress, reducing CAT and SOD activity by 1.5&#x2013;3.4-fold, whereas T9 (Neem + Microbes) had milder effects (&#x2264;1.2-fold). The red pulp genotype exhibited smaller changes (&#x2264;1.5-fold vs. white&#x2019;s &#x2264;3.4-fold) further confirming its greater heat tolerance.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Effect of treatments on membrane system</title>
<p>Malondialdehyde (MDA) levels, reflecting lipid peroxidation, were highest in untreated plants (5.02 mg/100g in white; 4.50 mg/100g in red), confirming severe membrane damage under stress. The most effective treatments were T8 (Neem Soap) and T11 (Brassinosteroids), which reduced MDA by 64.5% (white) and 68.2% (red), demonstrating strong oxidative stress protection. T5 (Micronutrients) and T3 (Silica) also showed efficacy, lowering MDA by 28.7&#x2013;40.0% in both genotypes. The red pulp genotype consistently exhibited lower MDA than the white across treatments, further supporting its innate stress tolerance. These results align with enzyme data, confirming T8 and T11 as optimal for membrane stability.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Nutrient uptake response to sunburn mitigation treatments</title>
<p>Mineral nutrient analysis was conducted on vegetative parts of red and white dragon fruit genotypes to evaluate the effects of promising sunburn mitigation treatments. Selected treatments viz., shade net (T2), neem soap (T8), and microbial consortium (T9) were compared to the control (T1) to assess their influence on nutrient uptake efficiency. Key findings revealed genotype-specific responses, with significant improvements in macronutrient and micronutrient concentrations under specific treatments.</p>
<p>Nitrogen (N) content was highest in the microbial consortium (T9), with increases of 35% (0.96%) in red and 56% (1.37%) in white pulp genotype compared to the control. Phosphorus (P) uptake was enhanced by 160% under neem soap (T8) in red (0.26%) and 17% under shade net (T2) in white (0.27%). Potassium (K) levels peaked by 129% T9-treated red (2.84%), though a slight reduction (2.31%) was observed in shoot tissues of white pulp genotype. Calcium (Ca) accumulation increased by 21% in T9-treated red (3.34%), while shade net (T2) maintained near-control levels in white pulp genotype. Magnesium (Mg) exhibited contrasting trends, shade net (T2) increased Mg in red by 82% but sharply reduced it in white pulp genotype (90% decrease), suggesting potential genotype-specific antagonism.</p>
<p>Among trace elements, neem soap (T8) significantly boosted manganese (Mn) in red shoots (431.9 ppm) but reduced it in white pulp genotype. Zinc (Zn) levels increased by 151% in T8-treated red pulp genotype, highlighting its role in enzymatic functions while, Boron (B) peaked in shoots of white pulp genotype under shade net (14% increase) supporting structural integrity. Neem soap (T8) caused the largest Na accumulation (143.8%) in shoots of red pulp genotype suggesting possible salt stress. Shade net (T2) increased Na in both genotypes but more prominently in white shoots (51.9%) while the microbial consortium (T9) showed a neutral effect (slight decrease in white shoots).</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Correlation, PCA and biplot analysis</title>
<p>To elucidate the complex relationships between physiological parameters and treatment effects, we employed three complementary multivariate approaches: Pearson&#x2019;s correlation analysis to quantify linear associations between variables, Principal Component Analysis (PCA) to reduce dimensionality and identify dominant response patterns, and biplot visualization to examine trait-treatment interactions. These methods collectively revealed the underlying structure of sunburn mitigation mechanisms in dragon fruit. The correlation matrix (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) revealed that chlorophyll components (Chl a, Chl b, and Total Chl) were strongly positively correlated (r=0.8-1.0) while showing negative correlations with canopy temperature (r=-0.9), MDA (r=-0.5), and antioxidants (r=-0.8 to -1.0). MDA exhibited positive correlations with peroxidase activity (r=0.4) and canopy temperature (r=0.6). The antioxidant system components-including SOD, CAT, flavonoids, and phenols-showed strong intercorrelations (r=0.8-0.9), with SOD and CAT being negatively correlated with MDA (r=-0.8 to -0.9). Notably, antioxidants demonstrated the strongest negative correlation with chlorophyll (r=-1.0).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Correlation matrix of physiological and biochemical parameters in dragon fruit under different treatments illustrating the Pearson correlation coefficients, where positive correlations (ranging from 0 to 1) are shown in shades of blue, and negative correlations (ranging from -1 to 0) are shown in shades of red. Darker shades indicate stronger correlations, while lighter shades represent weaker associations.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g006.tif">
<alt-text content-type="machine-generated">A correlation matrix showing relationships among biochemical and physiological parameters. Dark blue indicates strong positive correlations, while dark red indicates strong negative correlations. Key variables include Chl_b, Chl_a, Total Chl, Peroxidase, MDA, Antioxidants, Canopy_temp, SOD, Flavonoids, Phenols, and Catalase. Values range from -1 to 1.</alt-text>
</graphic>
</fig>
<p>PCA revealed that the first five principal components explained 99.77% of total variation (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). PC1 (78.8% variance) was characterized by positive loadings for chlorophyll metrics (Chl a: 0.304; Chl b: 0.308; Total Chl: 0.319) and negative loadings for phenolic compounds (phenols: -0.334; flavonoids: -0.331). PC2 (15.8% variance) was dominated by peroxidase (-0.776) and MDA (-0.397), while PC3 (3.2% variance) highlighted the contrast between MDA (-0.729) and peroxidase (0.467).</p>
<p>The biplot (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>) visually confirmed these relationships, with 94.6% variance explained by PC1 and PC2. Treatments clustered according to efficacy: T8 (Kaolin + Seaweed + Neem Soap) and T9 (+ Microbial Consortium) associated with high antioxidant levels and low MDA, while T1 (control) grouped with stress markers. T2 showed strong alignment with chlorophyll preservation, demonstrating treatment-specific response patterns.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Biplot illustrating the relationships between physiological and biochemical traits and different treatments in dragon fruit. Red vectors represent biochemical and physiological parameters, while blue dots indicate treatments (T1&#x2013;T11). The direction and length of the arrows indicate the strength and influence of each trait.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g007.tif">
<alt-text content-type="machine-generated">Correspondence analysis biplot showing two dimensions: Dim1 (78.8%) and Dim2 (15.8%). Red vectors represent variables like MDA, flavonoids, and SOD. Blue points labeled T1 to T11 represent observations. The plot illustrates relationships between variables and observations.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_8">
<label>3.8</label>
<title>Correlogram for the red and white dragon fruit (before vs. after treatment)</title>
<p>Correlogram analysis of red and white dragon fruit genotypes (<xref ref-type="fig" rid="f8">
<bold>Figures&#xa0;8a, b</bold>
</xref>) provided critical insights into genotype-dependent treatment efficacy by comparing pre- and post-treatment correlations among physiological traits. This approach revealed fundamental differences in stress adaptation mechanisms between genotypes. In the red pulp genotype, the strong pre-treatment correlation between phenols and antioxidants (r=0.96) decreased post-treatment (r=0.75), concurrent with improved chlorophyll stability as evidenced by the weakened negative correlation with canopy temperature (from r=-0.95 to r=-0.36). Enhanced oxidative stress mitigation was observed through reduced MDA associations with protective compounds and strengthened SOD-catalase coordination (r=0.97 post-treatment). Strong negative correlation (r=-0.77) between canopy temp and catalase implied higher temperature stress decreased antioxidant enzyme activity. This correlation weakened (r=-0.37) after treatment, indicating better enzyme regulation and adaptation to stress. The correlation between SOD and catalase increased after treatment (r=0.97), suggesting enhanced synergy between enzymatic antioxidants in this genotype.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>
<bold>(a)</bold> Correlogram comparing correlation coefficients of biochemical and physiological traits before (upper triangle) and after (lower triangle) treatment in red pulp dragon fruit. The color gradient represents correlation strength, ranging from blue (negative correlation, -1) to red (positive correlation, +1). <bold>(b)</bold> Correlogram comparing correlation coefficients of biochemical and physiological traits before (upper triangle) and after (lower triangle) treatment in white pulp dragon fruit. The color gradient represents correlation strength, ranging from blue (negative correlation, -1) to red (positive correlation, +1).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-16-1661147-g008.tif">
<alt-text content-type="machine-generated">Two correlograms, labeled A and B, show correlation matrices. Both use color gradients from red to blue, representing correlation values between variables like Catalase, Peroxidase, and SOD. The heatmaps compare 'before' and 'after' states, with panel A focusing on red while panel B uses white. Scales on the side denote correlation strength from negative one to one.</alt-text>
</graphic>
</fig>
<p>The white pulp genotype exhibited distinct metabolic adjustments, characterized by decreased correlation between antioxidants and flavonoids (from r=0.91 to r=0.63) alongside improved chlorophyll retention (canopy temperature correlation change from r=-0.74 to r=-0.42). Both genotypes demonstrated effective oxidative stress reduction, though through different mechanisms: the red pulp genotype prioritized enzymatic antioxidant synergy, while the white pulp genotype showed greater plasticity in secondary metabolite production. These findings underscore the genotype-specific nature of stress adaptation and highlight the importance of tailored treatment strategies for different dragon fruit genotypes.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Sunburn is a critical challenge in several fruit crops, particularly in regions with hot and arid climates, leading to considerable economic losses and reduced farm productivity (<xref ref-type="bibr" rid="B62">Lal and Sahu, 2017</xref>; <xref ref-type="bibr" rid="B38">Fischer et&#xa0;al., 2022</xref>). With the depletion of the stratospheric ozone layer and rising global temperatures, UV-B radiation exposure (280&#x2013;320 nm) is expected to increase, exacerbating sunburn incidence in less tolerant crops like dragon fruit (<xref ref-type="bibr" rid="B75">Munn&#xe9;-Bosch and Vincent, 2019</xref>). Reflective particle-based sprays, such as kaolin and neem-based formulations, have emerged as effective strategies to mitigate heat stress by reducing radiation absorption and lowering plant surface temperatures (<xref ref-type="bibr" rid="B88">Reiget&#xa0;al., 2020</xref>). Our study evaluated the efficacy of these treatments in red and white pulp dragon fruit genotypes, revealing genotype-specific responses and highlighting the importance of tailored mitigation strategies.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Spray treatments mitigate canopy temperature and sunburn incidence while enhancing chlorophyll content</title>
<p>Our findings demonstrate that the vegetative tissues of dragon fruit are highly sensitive to concurrent exposure to excessive light and high temperatures, resulting in visible sunburn damage (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This observation is consistent with previous reports on other CAM plants subjected to thermal stress (<xref ref-type="bibr" rid="B87">Raveh et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B71">Mizrahi, 2014</xref>; <xref ref-type="bibr" rid="B38">Fischer et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B34">Doke et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B82">Patil et&#xa0;al., 2024</xref>). Among the treatments, untreated plants exhibited the highest canopy temperatures (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) and the most severe sunburn incidence (78.6&#x2013;82.1%), highlighting their vulnerability to photothermal stress. In contrast, treatments T2, T8, and T9 significantly reduced sunburn damage, with T2 showing the greatest effectiveness. These results corroborate earlier studies on the use of shade nets in dragon fruit (<xref ref-type="bibr" rid="B82">Patil et&#xa0;al., 2024</xref>) and reflective sprays in apple (<xref ref-type="bibr" rid="B37">Faghih et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B85">Przyby&#x142;ko et&#xa0;al., 2025</xref>) and grape (<xref ref-type="bibr" rid="B73">Mohamed et&#xa0;al., 2024</xref>), which reported similar reductions (10&#x2013;15%) in sunburn through radiation-reflection mechanisms. Treatments T8 and T9 also showed markedly lower sunburn levels, confirming their strong protective effects. This likely results from the synergistic action of kaolin sprays, neem soap and microbial consortia, which provide a multi-layered defense strategy encompassing physical, biochemical, and hormonal pathways. Kaolin forms a reflective particle film that reduces UV and infrared radiation absorption, thereby lowering tissue temperature and minimizing photo-oxidative stress (<xref ref-type="bibr" rid="B30">del Brio et&#xa0;al., 2024</xref>). Neem, when used in combination, further reinforces the cuticle with bioactive compounds such as azadirachtin, which stimulate phenolic biosynthesis and enhance structural integrity against UV-B penetration (<xref ref-type="bibr" rid="B36">El-Beltagi et&#xa0;al., 2024</xref>). Additionally, neem provides antifungal protection, reducing the risk of secondary infections (<xref ref-type="bibr" rid="B5">Ali et&#xa0;al., 2025</xref>). Since neem was applied in soap form, it likely improved the adhesion of kaolin to the plant surface, enhancing the persistence and effectiveness of the reflective film under field conditions. The microbial consortia comprising of <italic>Pseudomonas fluorescens, Bacillus subtilis, Azospirillum brasilense</italic>, and <italic>Trichoderma harzianum</italic> play a crucial role through phytohormonal modulation (<xref ref-type="bibr" rid="B106">Vishwakarma et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B10">Ansabayeva et&#xa0;al., 2025</xref>) producing auxins (IAA) to promote tissue repair, abscisic acid (ABA) to regulate stomatal conductance and improve water retention (especially vital for CAM plants like dragon fruit), and ACC deaminase to suppress stress-induced ethylene synthesis that accelerates senescence (<xref ref-type="bibr" rid="B22">Cheynier et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B64">Maheshwari et&#xa0;al., 2015</xref>). Beneficial microbes also enhance the activity of antioxidant enzymes such as superoxide dismutase (SOD) and catalase (CAT), which help scavenge reactive oxygen species (ROS) generated under heat stress (<xref ref-type="bibr" rid="B4">Ahemad and Kibret, 2014</xref>). Together, these components work synergistically- kaolin mitigates the initial radiation load, neem enhances structural defenses, and PGPRs (plant growth-promoting rhizobacteria) prime the plant&#x2019;s systemic resilience via hormonal regulation and redox balance. This integrated, tripartite strategy is particularly effective for sunburn-sensitive white-fleshed dragon fruit cultivars, whose genetic susceptibility is counterbalanced by the combined physical barrier (kaolin), biochemical reinforcement (neem), and physiological adaptation (PGPR-mediated stress priming). The inclusion of stress-adapted PGPR strains selected for their capacity to modulate ABA/GA ratios and induce heat-shock proteins further strengthens field performance, making this integrated approach superior to single-component interventions for maintaining productivity under intensifying climatic stressors. Epicuticular wax integrity, critical for UV and PAR scattering, was preserved in treated plants, as evidenced by SEM imaging (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The protective role of epicuticular wax against photothermal stress has been extensively documented (<xref ref-type="bibr" rid="B35">Domanda et&#xa0;al., 2024</xref>). Untreated samples showed fractured wax layers and flaccid stomata, while treated plants maintained turgid stomata and intact cuticles, enhancing water retention and stress resilience. Similar structural preservation has been reported in kaolin-treated olive leaves (<xref ref-type="bibr" rid="B90">Rotondi et&#xa0;al., 2025</xref>) and neem-protected mango fruits (<xref ref-type="bibr" rid="B95">Sarmin et&#xa0;al., 2018</xref>). The red pulp genotype, with its thicker wax coatings and sunken stomata, exhibited superior thermal tolerance, consistent with findings by <xref ref-type="bibr" rid="B87">Raveh et&#xa0;al. (1998)</xref> and subsequent studies on cactus morphology (<xref ref-type="bibr" rid="B79">Nobel, 2003</xref>). Chlorophyll degradation (yellowing), a marker of sunburn damage, was markedly reduced in treated plants. This protection against chlorophyll loss has been similarly observed in kaolin-treated grapevines (<xref ref-type="bibr" rid="B32">Dinis et&#xa0;al., 2016</xref>) and shade net covered apple trees (<xref ref-type="bibr" rid="B51">Iglesias and Alegre, 2006</xref>). T8 (neem soap) increased Chl-a by 71.4% in the white pulp genotype, while the red pulp genotype maintained higher baseline Chl-a levels across treatments. This differential response corroborates findings in other pigmented versus non-pigmented fruit varieties (<xref ref-type="bibr" rid="B45">Gould et&#xa0;al., 2010</xref>). Pigmented genotypes often exhibit enhanced stress tolerance due to antioxidant pigments such as betacyanins. A study in <italic>Amaranthus tricolor</italic> L. demonstrated that the chromatic cultivar, with higher betacyanin content, retained more chlorophyll, accumulated less H<sub>2</sub>O<sub>2</sub>, and exhibited greater PSII stability under high-temperature stress compared to the green cultivar (<xref ref-type="bibr" rid="B98">Shu et&#xa0;al., 2009</xref>). Similarly, the red pulp genotype in our study likely benefits from pigment-mediated photoprotection, while the white pulp genotype, lacking such pigments, showed greater responsiveness to external protection via neem soap. Our findings align with reports that kaolin and neem extracts protect chloroplast integrity by mitigating ROS-induced thylakoid damage (<xref ref-type="bibr" rid="B112">Zahedi et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B76">Naz et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B48">Hameed et&#xa0;al., 2023</xref>). Shade net protection (T2) further reduced chlorophyll loss by moderating light intensity, as observed in studies by <xref ref-type="bibr" rid="B21">Chang et&#xa0;al. (2016)</xref> and <xref ref-type="bibr" rid="B82">Patil et&#xa0;al., 2024</xref> in dragon fruit and other fruit crops (<xref ref-type="bibr" rid="B31">D&#xed;az-P&#xe9;rez, 2014</xref>; <xref ref-type="bibr" rid="B14">Bast&#xed;as et&#xa0;al., 2012</xref>). Microclimate modification under shade nets has been shown to reduce direct light exposure by 30&#x2013;50% while increasing relative humidity (<xref ref-type="bibr" rid="B65">Mahmood et&#xa0;al., 2018</xref>), thereby creating more favorable conditions for photosynthesis and reducing photoinhibition (<xref ref-type="bibr" rid="B101">Sofo et&#xa0;al., 2009</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Biochemical and enzymatic defense mechanisms</title>
<p>Secondary metabolites such as phenols and flavonoids play a crucial role in UV screening and ROS scavenging (<xref ref-type="bibr" rid="B2">Agati et&#xa0;al., 2012</xref>). Our findings are consistent with established reports showing that stress conditions stimulate phenolic biosynthesis (<xref ref-type="bibr" rid="B61">Kumar et&#xa0;al., 2023</xref>), as evidenced by elevated levels in untreated controls. Treatment-induced reductions in these compounds suggest effective stress mitigation. Notably, the red pulp genotype maintained higher baseline levels of phenols, flavonoids, and antioxidant activity, reflecting inherent thermal tolerance&#x2014;consistent with cactus stress physiology (<xref ref-type="bibr" rid="B87">Raveh et&#xa0;al., 1998</xref>) and anthocyanin-mediated photoprotection in pigmented fruits (<xref ref-type="bibr" rid="B69">Mishra et&#xa0;al., 2025</xref>). Betacyanins, while primarily localized in fruit peel and pulp, can also be synthesized in vegetative tissues under stress and may contribute to enhanced protection in red pulp genotypes. This putative role, potentially governed by genotype-specific regulation, warrants further investigation through histochemical and transcriptomic approaches. In contrast, the white pulp genotype exhibited more dynamic shifts in phenolic metabolites and antioxidant enzymes, suggesting greater reliance on inducible defense systems. This response implicates stress-responsive hormonal pathways, particularly those involving ABA, JA, and SA, which regulate phenylpropanoid metabolism (<xref ref-type="bibr" rid="B105">Verma et&#xa0;al., 2016</xref>). The sharp decline in SOD (62.6%) and CAT (57.7%) activities under T8 treatment in white pulp plants further highlights that less reactive oxygen species (ROS) is produced, which reduces their dependence on enzymatic antioxidant systems, consistent with earlier reports (<xref ref-type="bibr" rid="B40">Foyer and Noctor, 2005</xref>; <xref ref-type="bibr" rid="B47">Hamdy et&#xa0;al., 2022</xref>). The lipid peroxidation data, with MDA reductions up to 68.2% under optimal treatments, provide strong evidence for membrane stabilization effects. These results not only confirm neem&#x2019;s protective role (<xref ref-type="bibr" rid="B76">Naz et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B48">Hameed et&#xa0;al., 2023</xref>) but also demonstrate its effectiveness in perennial fruit crops under field conditions. The correlation between MDA reduction and improved chlorophyll retention (r=-0.5) supports the growing recognition of membrane integrity as a key determinant of photosynthetic efficiency under stress (<xref ref-type="bibr" rid="B97">Shakya, 2023</xref>). Several mechanisms may explain the superior performance of neem-based treatments such as physical protection from UV radiation through particle film formation, direct antioxidant activity (<xref ref-type="bibr" rid="B18">Brahmachari, 2004</xref>), antimicrobial effects reducing secondary infections (<xref ref-type="bibr" rid="B8">Alzohairy, 2016</xref>) and hormonal modulation of stress responses (<xref ref-type="bibr" rid="B103">Subapriya and Nagini, 2005</xref>). The genotype-specific responses have important implications for both breeding and cultivation. The red genotype&#x2019;s betalain-mediated constitutive defense (<xref ref-type="bibr" rid="B98">Shu et&#xa0;al., 2009</xref>) suggests potential for selecting pigment-rich cultivars in stress-prone environments. Conversely, the white genotype&#x2019;s responsiveness to particle film treatments (<xref ref-type="bibr" rid="B76">Naz et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B48">Hameed et&#xa0;al., 2023</xref>) supports targeted agronomic interventions. These findings collectively expand our understanding of secondary metabolite regulation in perennial fruit crops under abiotic stress (<xref ref-type="bibr" rid="B27">Csepregi and Hideg, 2018</xref>), while providing practical solutions for crop management.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Nutrient uptake and physiological response to sunburn mitigation treatments</title>
<p>The comprehensive analysis of nutrient dynamics in this study reveals fundamental differences in how the red and white pulp dragon fruit genotypes respond to various sunburn mitigation treatments, providing important insights for stress management in perennial fruit crops (<xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). The observed nutrient uptake patterns demonstrate that while untreated control plants (T1) maintained basic nutritional sufficiency, their significantly lower K levels compared to plants receiving the T9 treatment (Kaolin + Seaweed + Neem Soap + Arka Microbial Consortium) clearly indicate that natural soil nutrient availability becomes inadequate under stress conditions (<xref ref-type="bibr" rid="B94">Sardans and Pe&#xf1;uelas, 2021</xref>). This finding has critical implications for orchard management, particularly in climate-stressed environments where plants face combined abiotic pressures. The red pulp genotype exhibited particularly strong enhancement of potassium uptake (129% increase under T9), which likely contributes significantly to its observed stress tolerance. Potassium plays multiple well-documented physiological roles that could explain this genotype&#x2019;s resilience, including its function in stomatal regulation (<xref ref-type="bibr" rid="B108">Wang et&#xa0;al., 2014</xref>), activation of crucial enzymes, and mitigation of oxidative stress (<xref ref-type="bibr" rid="B49">Hasanuzzaman et&#xa0;al., 2018</xref>). The mechanisms behind this improved K acquisition appear multifaceted, involving both direct and indirect pathways. Microbial-mediated nutrient mobilization through the Arka Microbial Consortium probably enhanced rhizosphere K availability through organic acid secretion and soil structure modification (<xref ref-type="bibr" rid="B96">Selvakumar et&#xa0;al., 2012</xref>), effects that have been similarly documented in other crop systems (<xref ref-type="bibr" rid="B91">Rouphael and Colla, 2018</xref>). Simultaneously, the treatment&#x2019;s seaweed components likely stimulated root growth through their cytokinin and auxin-like compounds (<xref ref-type="bibr" rid="B57">Khan et&#xa0;al., 2009</xref>), while neem constituents improved root efficiency (<xref ref-type="bibr" rid="B18">Brahmachari, 2004</xref>; <xref ref-type="bibr" rid="B63">Lokanadhan et&#xa0;al., 2012</xref>). The kaolin component contributed by creating a more favorable root zone environment through improved water use efficiency and temperature moderation (<xref ref-type="bibr" rid="B44">Glenn et&#xa0;al., 2010</xref>). In striking contrast, the white pulp genotype showed a distinctly different response pattern, with particular sensitivity to phosphorus (P) availability. This genotype displayed a 17% increase in P uptake under T2 treatment (Kaolin + Green Shade Net), likely resulting from shade-induced modifications to soil temperature regimes that promoted microbial P mineralization (<xref ref-type="bibr" rid="B74">Mooshammer et&#xa0;al., 2017</xref>). However, this P responsiveness came at a substantial cost, with a dramatic 90% reduction in K levels. Several interacting factors probably contribute to this trade-off: reduced transpiration under shaded conditions may have decreased mass flow-driven K transport to roots (<xref ref-type="bibr" rid="B41">Gajdanowicz et&#xa0;al., 2011</xref>), while light quality changes could have affected expression of potassium transporters (<xref ref-type="bibr" rid="B3">Ahammed et&#xa0;al., 2022</xref>). Additionally, the shade environment likely triggered changes in root architecture and allocation patterns (<xref ref-type="bibr" rid="B84">Poorter et&#xa0;al., 2012</xref>), potentially favoring P-acquiring structures over those optimized for K uptake. These genotype-specific responses highlight fundamental differences in nutrient use efficiency (<xref ref-type="bibr" rid="B109">White et&#xa0;al., 2013</xref>) and stress adaptation strategies. The red genotype&#x2019;s ability to maintain superior K homeostasis across treatments suggests a more robust ion regulation system, while the white genotype&#x2019;s greater plasticity in P acquisition indicates a different evolutionary strategy for nutrient management. The superior performance of the integrated T9 treatment across all measured nutrients (35-56% increase in N, up to 160% in P, and 129% in K) demonstrates that combined approaches addressing multiple stress factors simultaneously-physical protection, biostimulation, and microbial enhancement-offer the most effective solution for stress mitigation in dragon fruit cultivation. These findings have immediate practical applications for precision orchard management, particularly in matching treatment formulations to genotype-specific nutritional requirements and recognizing the critical importance of potassium nutrition in shaded growing systems. The results advance our understanding of nutrient-mediated stress responses while providing evidence-based strategies for improving crop resilience in changing climates.</p>
<table-wrap-group id="T4" position="float">
<table-wrap>
<label>Table&#xa0;4</label>
<caption>
<p>Effect of promising spray treatments on mineral uptake in white and red pulp dragon fruit cultivars.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Treatment</th>
<th valign="middle" colspan="2" align="center">N (%)</th>
<th valign="middle" colspan="2" align="center">P (%)</th>
<th valign="middle" colspan="2" align="center">K (%)</th>
<th valign="middle" colspan="2" align="center">Ca (%)</th>
<th valign="middle" colspan="2" align="center">Mg (%)</th>
</tr>
<tr>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>T1</bold>
</td>
<td valign="middle" align="left">0.88d</td>
<td valign="middle" align="left">0.71ef</td>
<td valign="middle" align="left">0.23ab</td>
<td valign="middle" align="left">0.1d</td>
<td valign="middle" align="left">2.57ab</td>
<td valign="middle" align="left">1.24c</td>
<td valign="middle" align="left">3.34a</td>
<td valign="middle" align="left">2.75bc</td>
<td valign="middle" align="left">1.02ab</td>
<td valign="middle" align="left">0.44c</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>T2</bold>
</td>
<td valign="middle" align="left">1.09b</td>
<td valign="middle" align="left">0.76e</td>
<td valign="middle" align="left">0.27a</td>
<td valign="middle" align="left">0.23ab</td>
<td valign="middle" align="left">1.33c</td>
<td valign="middle" align="left">1.33c</td>
<td valign="middle" align="left">3.26a</td>
<td valign="middle" align="left">2.77bc</td>
<td valign="middle" align="left">0.10ab</td>
<td valign="middle" align="left">0.80b</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>T8</bold>
</td>
<td valign="middle" align="left">1.31a</td>
<td valign="middle" align="left">0.68f</td>
<td valign="middle" align="left">0.18bc</td>
<td valign="middle" align="left">0.26a</td>
<td valign="middle" align="left">1.57c</td>
<td valign="middle" align="left">2.66ab</td>
<td valign="middle" align="left">2.63c</td>
<td valign="middle" align="left">3.15a</td>
<td valign="middle" align="left">0.11a</td>
<td valign="middle" align="left">0.12a</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>T9</bold>
</td>
<td valign="middle" align="left">1.37a</td>
<td valign="middle" align="left">0.96c</td>
<td valign="middle" align="left">0.17c</td>
<td valign="middle" align="left">0.15c</td>
<td valign="middle" align="left">2.31b</td>
<td valign="middle" align="left">2.84a</td>
<td valign="middle" align="left">3.06ab</td>
<td valign="middle" align="left">3.34a</td>
<td valign="middle" align="left">0.06b</td>
<td valign="middle" align="left">0.10ab</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values with the same superscript were not significantly different in LSD test <italic>(p &gt;&lt; 0.05)</italic>
</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Treatment</th>
<th valign="middle" colspan="2" align="center">Mn (ppm)</th>
<th valign="middle" colspan="2" align="center">Zn (ppm)</th>
<th valign="middle" colspan="2" align="center">B (ppm)</th>
<th valign="middle" colspan="2" align="center">Na (%)</th>
<th valign="middle" colspan="2" align="center">S (%)</th>
<th valign="middle" colspan="2" align="center">Fe (ppm)</th>
</tr>
<tr>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
<th valign="middle" align="left">White</th>
<th valign="middle" align="left">Red</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>T1</bold>
</td>
<td valign="middle" align="left">248.20c</td>
<td valign="middle" align="left">224.80d</td>
<td valign="middle" align="left">18.70c</td>
<td valign="middle" align="left">13.00d</td>
<td valign="middle" align="left">118.50b</td>
<td valign="middle" align="left">99.60c</td>
<td valign="middle" align="left">0.27b</td>
<td valign="middle" align="left">0.16d</td>
<td valign="middle" align="left">0.12a</td>
<td valign="middle" align="left">0.06b</td>
<td valign="middle" align="left">93.80abc</td>
<td valign="middle" align="left">79.40c</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>T2</bold>
</td>
<td valign="middle" align="left">240.50c</td>
<td valign="middle" align="left">248.10c</td>
<td valign="middle" align="left">26.00b</td>
<td valign="middle" align="left">17.30cd</td>
<td valign="middle" align="left">134.60a</td>
<td valign="middle" align="left">112.40b</td>
<td valign="middle" align="left">0.41a</td>
<td valign="middle" align="left">0.18cd</td>
<td valign="middle" align="left">0.10ab</td>
<td valign="middle" align="left">0.10ab</td>
<td valign="middle" align="left">97.30a</td>
<td valign="middle" align="left">92.40abc</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>T8</bold>
</td>
<td valign="middle" align="left">139.80f</td>
<td valign="middle" align="left">431.90a</td>
<td valign="middle" align="left">19.00c</td>
<td valign="middle" align="left">32.60a</td>
<td valign="middle" align="left">95.40c</td>
<td valign="middle" align="left">116.50b</td>
<td valign="middle" align="left">0.35a</td>
<td valign="middle" align="left">0.39a</td>
<td valign="middle" align="left">0.11a</td>
<td valign="middle" align="left">0.12a</td>
<td valign="middle" align="left">81.70bc</td>
<td valign="middle" align="left">95.50ab</td>
</tr>
<tr>
<td valign="middle" align="left">
<bold>T9</bold>
</td>
<td valign="middle" align="left">166.30e</td>
<td valign="middle" align="left">391.70b</td>
<td valign="middle" align="left">16.80cd</td>
<td valign="middle" align="left">27.40b</td>
<td valign="middle" align="left">99.60c</td>
<td valign="middle" align="left">114.50b</td>
<td valign="middle" align="left">0.26b</td>
<td valign="middle" align="left">0.23bc</td>
<td valign="middle" align="left">0.06b</td>
<td valign="middle" align="left">0.10ab</td>
<td valign="middle" align="left">94.40ab</td>
<td valign="middle" align="left">94.00abc</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values with the same superscript were not significantly different in LSD test <italic>(p&lt; 0.05).</italic>
</p>
</fn>
</table-wrap-foot>
</table-wrap>
</table-wrap-group>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Multivariate analysis of biochemical and physiological traits under sunburn mitigation treatments</title>
<p>The multivariate analysis provided a comprehensive understanding of the complex interactions between physiological and biochemical traits in dragon fruit under sunburn stress and mitigation treatments. Our results demonstrate that chlorophyll content exhibited strong negative correlations with canopy temperature (r=-0.9) and MDA (r=-0.5), reinforcing its role as a key indicator of oxidative stress mitigation. This aligns with previous studies in heat-stressed crops where chlorophyll preservation was linked to reduced membrane damage (<xref ref-type="bibr" rid="B113">Zahra et&#xa0;al., 2023</xref>). The positive correlation between MDA and peroxidase activity (r=0.4) suggests that lipid peroxidation triggers peroxidase-mediated defense mechanisms, consistent with findings in drought-stressed plants (<xref ref-type="bibr" rid="B43">Gill and Tuteja, 2010</xref>). Additionally, the strong intercorrelation among antioxidant components (SOD, CAT, phenols, flavonoids; r=0.8&#x2013;0.9) indicates a tightly regulated, synergistic defense network, as reported in other ROS-scavenging systems (<xref ref-type="bibr" rid="B49">Hasanuzzaman et&#xa0;al., 2018</xref>). PCA revealed that PC1 (78.8% variance) was dominated by chlorophyll metrics and phenolic compounds, highlighting their opposing roles in stress response, chlorophyll as a stability marker and phenols as stress-induced antioxidants. Under stress conditions, chlorophyll degradation occurs due to reactive oxygen species (ROS) accumulation, while phenolic compounds are synthesized as part of the antioxidant defense system (<xref ref-type="bibr" rid="B2">Agati et&#xa0;al., 2012</xref>). This inverse relationship was clearly captured by the first principal component in our correspondence analysis, consistent with observations in other perennial crops where kaolin applications similarly decoupled photosynthetic traits from stress markers (<xref ref-type="bibr" rid="B32">Dinis et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B44">Glenn et&#xa0;al., 2010</xref>). Treatment-specific responses further validated this relationship. The integrated T9 treatment (Kaolin 5% + Seaweed 0.5% + Arka Neem soap 0.5% + Arka Microbial Consortium 0.5%) effectively reduced oxidative stress, as evidenced by its association with both chlorophyll preservation and moderate phenolic levels in the biplot. This balanced response mirrors findings from grapevine studies where combined physical and biochemical treatments optimized stress adaptation (<xref ref-type="bibr" rid="B32">Dinis et&#xa0;al., 2016</xref>). In contrast, T2 (Kaolin + Shade net) showed the strongest association with chlorophyll retention, supporting its role in light stress mitigation (<xref ref-type="bibr" rid="B21">Chang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B82">Patil et&#xa0;al., 2024</xref>), while T8 and T9 clustered with enhanced antioxidant capacity and reduced lipid peroxidation (MDA). Control (T1) and petroleum oil (T6) treatments aligned with elevated oxidative damage markers, consistent with reports of untreated crops under heat stress (<xref ref-type="bibr" rid="B86">Racsko and Schrader, 2012</xref>). These results demonstrate that the chlorophyll-phenolic opposition represents a core physiological trade-off in stress responses, and that targeted treatments can modulate this relationship to improve plant resilience. The ability of certain treatments (particularly T9) to simultaneously maintain photosynthetic function while managing oxidative stress highlights the potential of integrated approaches for sustainable sunburn mitigation in dragon fruit cultivation. Correlogram analysis further elucidated genotype-specific adaptations. In the red pulp genotype, the weakened post-treatment correlation between phenols and antioxidants (r=0.96 reduced to 0.75) suggests a shift from chemical to enzymatic defenses (SOD-CAT synergy: r=0.97). This aligns with studies on pigmented fruits, where anthocyanins supplement antioxidant capacity under stress (<xref ref-type="bibr" rid="B46">Gould et&#xa0;al., 2002</xref>). Conversely, the white pulp genotype showed greater reliance on phenolic plasticity, as evidenced by retained flavonoid-antioxidant correlations (r=0.63 post-treatment). Such divergence underscores the need for genotype-specific mitigation strategies, as proposed for other crops with varietal stress tolerance differences (<xref ref-type="bibr" rid="B2">Agati et&#xa0;al., 2012</xref>).</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusion">
<label>5</label>
<title>Conclusion</title>
<p>This study demonstrates that kaolin-based protective sprays, particularly when combined with neem soap and microbial consortia, effectively mitigate sunburn stress in dragon fruit by reducing canopy temperature, preserving chlorophyll content, and enhancing antioxidant defenses. The red-fleshed cultivar exhibited greater inherent tolerance to sunburn compared to the white-fleshed cultivar, which responded more favorably to physical protection methods. These treatments work synergistically to improve plant resilience through multiple mechanisms, including radiation reflection, oxidative stress reduction, and enhanced nutrient uptake. The findings provide practical, scalable solutions for sunburn management in dragon fruit cultivation, particularly in regions facing increasing solar radiation and temperature extremes. Future studies should explore the long-term effects of these treatments under field conditions, investigate their impact on fruit quality and yield parameters, and examine potential synergistic effects with other stress-mitigation strategies. Additionally, molecular approaches could elucidate the genetic basis of differential sunburn tolerance between cultivars, informing breeding programs for more resilient varieties.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>CK: Writing &#x2013; original draft, Investigation, Writing &#x2013; review &amp; editing. KG: Investigation, Writing &#x2013; review &amp; editing, Supervision, Project administration. MA: Methodology, Formal Analysis, Writing &#x2013; review &amp; editing, Investigation. RL: Data curation, Investigation, Writing &#x2013; review &amp; editing, Formal Analysis. KP:Validation, Software, Writing &#x2013; review &amp; editing, Visualization, Investigation. BM: Investigation, Data curation, Writing &#x2013; review &amp; editing. TR: Methodology, Data curation, Investigation, Writing &#x2013; original draft. KA: Methodology, Writing &#x2013; original draft, Formal Analysis, Investigation. TH: Validation, Writing &#x2013; original draft, Visualization.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare no financial support was received for the research and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We heartfully thank all the scientific staff, research fellows, and workers from the Division of Fruit Crops and Basic Sciences, ICAR-IIHR, Bengaluru, India, who have played a significant role in carrying out this study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpls.2025.1661147/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpls.2025.1661147/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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