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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Agron.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Agronomy</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Agron.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2673-3218</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fagro.2026.1733699</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Fertigation with <italic>Pseudomonas putida</italic> and <italic>Bacillus subtilis</italic>: impact on growth and productivity of off-season quinoa grown in coastal Peru</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Quello</surname><given-names>Antony</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3188226/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Poma-Chamana</surname><given-names>Russell</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3091582/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Flores-Marquez</surname><given-names>Ricardo</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Sol&#xf3;rzano-Acosta</surname><given-names>Richard</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Direcci&#xf3;n de Servicios Estrat&#xe9;gicos Agrarios, Instituto Nacional de Innovaci&#xf3;n Agraria (INIA)</institution>, <city>Arequipa</city>,&#xa0;<country country="pe">Peru</country></aff>
<aff id="aff2"><label>2</label><institution>Direcci&#xf3;n de Servicios Estrat&#xe9;gicos Agrarios, Instituto Nacional de Innovaci&#xf3;n Agraria (INIA)</institution>, <city>Lima</city>,&#xa0;<country country="pe">Peru</country></aff>
<aff id="aff3"><label>3</label><institution>Facultad de Ciencias Ambientales, Universidad Cient&#xed;fica del Sur (UCSUR)</institution>, <city>Lima</city>,&#xa0;<country country="pe">Peru</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Antony Quello, <email xlink:href="mailto:aquello@inia.gob.pe">aquello@inia.gob.pe</email>; Richard Sol&#xf3;rzano-Acosta, <email xlink:href="mailto:investigacion_labsaf@inia.gob.pe">investigacion_labsaf@inia.gob.pe</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>8</volume>
<elocation-id>1733699</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>31</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Quello, Poma-Chamana, Flores-Marquez and Sol&#xf3;rzano-Acosta.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Quello, Poma-Chamana, Flores-Marquez and Sol&#xf3;rzano-Acosta</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Quinoa (<italic>Chenopodium quinoa</italic> Willd.) is a nutritionally valuable crop adapted to adverse agroclimatic conditions, but its production in arid regions such as the Peruvian coast is limited by water scarcity, low soil fertility, and heat stress. Plant growth-promoting rhizobacteria from <italic>Pseudomonas</italic> and <italic>Bacillus</italic> offer a sustainable strategy to improve growth and yield. This study evaluated the impact of fertigation with <italic>Pseudomonas putida</italic> (P3 strain) and <italic>Bacillus subtilis</italic> (BacF strain) on the growth and yield of the Salcedo INIA quinoa variety cultivated out of season under arid environment. A split-plot design was implemented, in which the main-plot factor was microbial inoculation [inoculated (+) <italic>vs</italic>. non-inoculated (&#x2212;)], while the subplot factor was synthetic fertilization (75% <italic>vs</italic>. 100% of the recommended NPK dose). Inoculation was performed at two time points during the crop cycle at a concentration of 1 &#xd7; 10<sup>9</sup> CFU mL<sup>-</sup>&#xb9;, whereas fertigation was applied at four-day intervals. Rhizobacterial inoculation significantly improved plant biometric characteristics, resulting in a 12% increase in dry biomass accumulation. Photosynthetic capacity increased, as indicated by higher leaf area index and SPAD values than uninoculated plants. Thus, the main effect of inoculation was the significant increase of yield potential (i.e. panicle weight increasing by 12% and thousand-grain weight increasing by 19%) with yield improvements significant at both fertilization levels. Despite these positive effects, high temperatures (&gt;30 &#xb0;C) during the growing season limited commercial yields [(+)100%: 2.20 &#xb1; 0.30 t ha<sup>-1</sup>, (+)75%: 1.42 &#xb1; 0.19 t ha<sup>-1</sup>, (-)100%: 1.50 &#xb1; 0.30 t ha<sup>-1</sup>, (+)75%: 1.02 &#xb1; 0.13 t ha<sup>-1</sup>]. This reduction is likely due to heat stress during flowering, which may have compromised pollen viability and grain set efficiency. The findings suggest that <italic>P. putida</italic> (P3 strain) and <italic>B. subtilis</italic> (BacF strain) are promising biotechnological tools for improving quinoa productivity in arid climates.</p>
</abstract>
<kwd-group>
<kwd>arid environment</kwd>
<kwd><italic>Bacillus</italic></kwd>
<kwd><italic>Chenopodium quinoa</italic></kwd>
<kwd>fertigation</kwd>
<kwd>PGPR</kwd>
<kwd><italic>Pseudomonas</italic></kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Instituto Nacional de Innovaci&#xf3;n Agraria</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/100020396</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This research was funded by the INIA project CUI 2487112 &#x201c;Mejoramiento de los servicios de investigaci&#xf3;n y transferencia tecnol&#xf3;gica en el manejo y recuperaci&#xf3;n de suelos agr&#xed;colas degradados y aguas para riego en la peque&#xf1;a y mediana agricultura en los departamentos de Lima, &#xc1;ncash, San Mart&#xed;n, Cajamarca, Lambayeque, Jun&#xed;n, Ayacucho, Arequipa, Puno y Ucayali&#x201d;.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="82"/>
<page-count count="12"/>
<word-count count="5663"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Plant-Soil Interactions</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<list list-type="bullet">
<list-item>
<p>Fertigation with <italic>Pseudomonas putida</italic> and <italic>Bacillus subtilis</italic> enhances quinoa growth and biomass.</p></list-item>
<list-item>
<p>Heat stress limits commercial yield; sowing date is critical.</p></list-item>
<list-item>
<p>Sustainable strategy to optimize nutrient use and reduce fertilizer dependency in arid environments.</p></list-item>
</list>
</sec>
<sec id="s2" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Quinoa (<italic>Chenopodium quinoa</italic> Willd.) is a crop of global significance due to its high nutritional value and remarkable adaptability to adverse agroclimatic conditions (<xref ref-type="bibr" rid="B82">Zurita-Silva et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B22">Fuentes et&#xa0;al., 2009</xref>). These attributes have driven its increasing agronomic importance, positioning it as a key contributor to food security (<xref ref-type="bibr" rid="B58">Ruiz et&#xa0;al., 2014</xref>). Since the 1980s, quinoa exports from South America have increased, and its cultivation has expanded to various countries worldwide (<xref ref-type="bibr" rid="B8">Bazile et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B58">Ruiz et&#xa0;al., 2014</xref>). In Peru, quinoa has become one of the most important Andean grains, with a steadily growing production and export value that reflects its increasing global demand (<xref ref-type="bibr" rid="B48">MIDAGRI, 2025</xref>).</p>
<p>Nationally, 97.5% of quinoa production is concentrated in eight departments: Puno, Ayacucho, Apur&#xed;mac, Cusco, Arequipa, Jun&#xed;n, Huancavelica, and La Libertad (<xref ref-type="bibr" rid="B47">MIDAGRI, 2023</xref>). In the Arequipa department, the cultivated area has expanded significantly in recent years. Notably, the Majes, Santa Rita, and La Joya irrigation systems account for 60% of this area (<xref ref-type="bibr" rid="B79">Zegarra Alarcon, 2018</xref>). However, these irrigation systems are located along the Peruvian coast, where agricultural production is constrained by water scarcity and soil limitations. Coastal soils are often characterized by high salinity, low organic matter content, and poor humidity retention capacity, which hinder optimal crop development. To overcome these challenges, the adoption of efficient irrigation technologies, such as drip irrigation, and sustainable soil management practices are essential for maintaining agricultural productivity.</p>
<p>Due to these soil limitations, Peruvian coastal agriculture relies heavily on synthetic chemical fertilizers as the primary source of nutrients, which are indispensable in conventional farming (<xref ref-type="bibr" rid="B39">Krasilnikov et&#xa0;al., 2022</xref>). Over the past decade, disruptions in global supply chains&#x2014;including natural disasters, geopolitical conflicts (such as the war in Ukraine), and the COVID-19 pandemic&#x2014;have impacted the production and distribution of fertilizers, thereby threatening food security (<xref ref-type="bibr" rid="B10">Ben Hassen and El Bilali, 2022</xref>; <xref ref-type="bibr" rid="B53">Penuelas et&#xa0;al., 2023</xref>). Additionally, climate change has introduced new challenges, including rising annual and seasonal temperatures, shifts in precipitation patterns, and an increased frequency of extreme weather events, all of which significantly impact agricultural productivity (<xref ref-type="bibr" rid="B26">Grigorieva et&#xa0;al., 2023</xref>). Changes in key agroclimatic indexes&#x2014;such as Growing Degree-Days, the Temperature-Humidity Index, and variations in the growing season length&#x2014;have been observed, further influencing crop yields and production stability (<xref ref-type="bibr" rid="B49">Mu et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B38">Kipriyanov and Savinykh, 2019</xref>). Addressing these challenges necessitates adaptive strategies, including the development of more resilient crop varieties and the optimization of sowing schedules. In this context, implementing multiple sowing cycles or year-round cultivation has been proposed as a viable approach to sustaining food production in the face of changing climatic conditions (<xref ref-type="bibr" rid="B23">Gao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B81">Zou et&#xa0;al., 2024</xref>).</p>
<p>Additionally, plant growth-promoting rhizobacteria (PGPR) have emerged as an innovative, natural, and environmentally sustainable technology for optimizing fertilizer use and mitigating abiotic stress (<xref ref-type="bibr" rid="B32">Ikiz et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B66">Shah et&#xa0;al., 2021</xref>). PGPR enhances plant growth through multiple mechanisms, including biological nitrogen fixation, nutrient solubilization, siderophore production, and phytohormone synthesis. Furthermore, PGPR improves plant resilience to abiotic stress by promoting the accumulation of specific osmolytes and by reducing ethylene levels in roots through the activity of 1-aminocyclopropane-1-carboxylate (ACC) deaminase (<xref ref-type="bibr" rid="B2">Ahemad and Kibret, 2014</xref>; <xref ref-type="bibr" rid="B74">Vurukonda et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B14">Braud et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B30">Hayat et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B28">Hartman and Tringe, 2019</xref>; <xref ref-type="bibr" rid="B19">Etesami and Adl, 2020</xref>). Among the diverse soil bacterial taxa, species belonging to the genera <italic>Pseudomonas</italic> and <italic>Bacillus</italic> are particularly abundant in strains with well-documented PGPR effects (<xref ref-type="bibr" rid="B78">Zahir et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B66">Shah et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B29">Hasan et&#xa0;al., 2024</xref>).</p>
<p>The growth-promoting effects of <italic>Pseudomonas putida</italic> include nitrogen fixation, siderophore production, and phosphate solubilization (<xref ref-type="bibr" rid="B59">Sah et&#xa0;al., 2021</xref>). Similarly, <italic>Bacillus subtilis</italic> enhances plant nutrition through nitrogen fixation, phosphate solubilization, and the production of key phytohormones such as auxins, cytokinins, and gibberellic acid (<xref ref-type="bibr" rid="B7">Arkhipova et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B27">Guti&#xe9;rrez-Ma&#xf1;ero et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B54">P&#x159;ikryl et&#xa0;al., 1985</xref>; <xref ref-type="bibr" rid="B71">Testen et&#xa0;al., 2022</xref>). Studies have identified <italic>P. putida</italic> and <italic>B. subtilis</italic> in the rhizosphere of quinoa plants, with functional capacities associated with biological nitrogen fixation, phosphorus solubilization, and indole-3-acetic acid biosynthesis (<xref ref-type="bibr" rid="B52">Ortu&#xf1;o Castro et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B55">Rafique et&#xa0;al., 2025</xref>). Furthermore, <italic>Bacillus</italic> isolates associated with <italic>Chenopodium</italic> species have been shown to possess plant growth-promoting traits (<xref ref-type="bibr" rid="B71">Testen et&#xa0;al., 2022</xref>).</p>
<p>PGPR applications can be tailored to different crops and agricultural practices. Standard inoculation methods include seed treatment, soil drenching, foliar spraying, and root dipping (<xref ref-type="bibr" rid="B77">Yang et&#xa0;al., 2024</xref>). However, current PGPR research in quinoa is largely limited to conventional growing seasons, highland or rainfed systems, and non-fertigation inoculation methods, which restricts its applicability to intensive coastal agriculture. Although previous studies have demonstrated the beneficial effects of <italic>P. putida</italic> and <italic>B. subtilis</italic> on quinoa growth and nutrient acquisition (<xref ref-type="bibr" rid="B52">Ortu&#xf1;o Castro et&#xa0;al., 2014</xref>), no studies have explicitly evaluated their co-application via fertigation under arid, off-season coastal conditions in Peru. This lack of evidence represents a clear research gap, particularly in&#xa0;regions such as the Peruvian coast, where drip irrigation is&#xa0;essential and quinoa production is increasingly expanding into non-traditional sowing periods. Fertigation-based PGPR delivery offers several agronomic advantages, including targeted inoculum placement in the rhizosphere, enhanced root colonization, and&#xa0;compatibility with reduced fertilizer inputs. Nevertheless, the&#xa0;effectiveness of fertigation-applied PGPR in improving quinoa&#xa0;performance under arid and off-season conditions remains unknown.</p>
<p>Therefore, a critical knowledge gap exists regarding whether fertigation-based co-inoculation with <italic>P. putida</italic> and <italic>B. subtilis</italic> can sustain quinoa growth and yield under reduced NPK fertilization in arid coastal environments. Addressing this gap is essential for developing sustainable microbial-based management strategies adapted to climate variability and resource-limited agroecosystems.</p>
<p>The objective of this study was to evaluate the effect of fertigation-based co-inoculation with <italic>Pseudomonas putida</italic> (P3 strain) and <italic>Bacillus subtilis</italic> (BacF strain) on quinoa growth and yield under arid, off-season coastal conditions in Peru, in combination with reduced synthetic NPK fertilization, in order to assess its potential as a sustainable strategy to optimize fertilizer use and improve productivity.</p>
</sec>
<sec id="s3" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s3_1">
<label>2.1</label>
<title>Study area</title>
<p>The study was conducted at the Santa Rita Experimental Centre of the Arequipa Agrarian Experimental Station (EEA), part of the Instituto Nacional de Innovaci&#xf3;n Agraria (INIA), located in the district of Santa Rita de Siguas, province, and department of&#xa0;Arequipa (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). The experimental plot was established at 16&#xb0;28&#x2019;26.8&#x2019;&#x2019; S, 72&#xb0;06&#x2019;41.5&#x2019;&#x2019; W, at an altitude of 1,280 m.a.s.l. The study area has a mean annual rainfall of 2.9 mm, with minimum temperatures reaching 7 &#xb0;C in July and maximum temperatures ranging from 27 to 28 &#xb0;C between September and April. These averages were calculated based on historical data (1966&#x2013;2013) from the La Joya meteorological station (16&#xb0;35&#x2019;0.91&#x2019;&#x2019;S, 71&#xb0;55&#x2019;28.69&#x2019;&#x2019;W), managed by the National Service of Meteorology and Hydrology (SENAMHI) of Peru (<xref ref-type="bibr" rid="B64">SENAMHI, 2024</xref>). Additionally, meteorological variables during the study period were recorded using data from the Santa Rita EEA meteorological station (16&#xb0;28&#x2019;24.3&#x2019;&#x2019;S, 72&#xb0;06&#x2019;44.1&#x2019;&#x2019;W), also managed by SENAMHI (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study area, location map of the Arequipa department within Peru. The red dot indicates the area where the crop was installed.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-08-1733699-g001.tif">
<alt-text content-type="machine-generated">Composite map showing the location of Santa Rita de Siguas District in Arequipa, Peru, with a satellite view highlighting an experimental plot and weather station. Inset photo displays a green crop field marked as T2R4.</alt-text>
</graphic></fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Local meteorological conditions during the experimental period (August 2023&#x2013;July 2024). <bold>(A)</bold> Rainfall, where rf represents monthly accumulated rainfall; <bold>(B)</bold> Temperature, where tmin represents the average minimum temperature and tmax represents the average maximum temperature._hist refers to historical values for each parameter during the period 1966&#x2013;2013.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-08-1733699-g002.tif">
<alt-text content-type="machine-generated">Panel A is a bar chart comparing historical and current monthly rainfall in millimeters, showing peak values in January and February with lower rainfall throughout the rest of the year. Panel B is a line graph depicting historical and current monthly minimum and maximum temperatures in degrees Celsius, with maximum temperatures staying above twenty-five degrees and minimum temperatures dipping to about five degrees in July.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>2.2</label>
<title>Design and treatments</title>
<p>A split-plot design with 2 x 2 factorial arrangement was implemented with four blocks. The main-plot factor was microbial inoculation (inoculated (+) <italic>vs</italic>. non-inoculated (&#x2212;)) and the subplot factor was synthetic fertilization (75% <italic>vs</italic>. 100% of the recommended NPK dose). This arrangement generated four treatment combinations (T1&#x2013;T4), each replicated four times, for a total of 16 experimental plots (4 blocks &#xd7; 4 treatments) (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Main plots measured 18 &#xd7; 7 m, subdivided into two subplots, with randomization within each block. The experimental unit consisted of a plot measuring 18 m in length and 7 m in width, comprising nine beds, as illustrated in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Treatment combinations in the 2 &#xd7; 2 split-plot factorial design (microbial inoculation &#xd7; fertilization levels).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Main plot (Inoculation)</th>
<th valign="middle" align="center">Subplot (Fertilization)</th>
<th valign="middle" align="center">Treatments</th>
<th valign="middle" align="center">Treatment code</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Inoculated (+)</td>
<td valign="middle" align="center">100% NPK</td>
<td valign="middle" align="center">Inoculated x 100% NPK</td>
<td valign="middle" align="center">T1</td>
</tr>
<tr>
<td valign="middle" align="center">Inoculated (+)</td>
<td valign="middle" align="center">75% NPK</td>
<td valign="middle" align="center">Inoculated x 75% NPK</td>
<td valign="middle" align="center">T2</td>
</tr>
<tr>
<td valign="middle" align="center">Non-inoculated (&#x2212;)</td>
<td valign="middle" align="center">100% NPK</td>
<td valign="middle" align="center">Non-inoculated x 100% NPK</td>
<td valign="middle" align="center">T3</td>
</tr>
<tr>
<td valign="middle" align="center">Non-inoculated (&#x2212;)</td>
<td valign="middle" align="center">75% NPK</td>
<td valign="middle" align="center">Non-inoculated x 75% NPK</td>
<td valign="middle" align="center">T4</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Schematic representation of the planting pattern in beds.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-08-1733699-g003.tif">
<alt-text content-type="machine-generated">Schematic representation of quinoa planting on raised beds with drip irrigation. Beds are spaced 0.8 m apart, have a height of 0.30 m, and an effective bed width of 0.40 m. Each bed contains two quinoa rows spaced 0.20 m apart. A drip irrigation tape is positioned along the center of the bed, supplying water to both rows.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>2.3</label>
<title>Soil physicochemical characteristics</title>
<p>Prior to establishing the experimental plot, a composite and representative soil sample was collected from the arable layer at a depth of 0.30 m for physicochemical characterization at the Soil, Water, and Foliar Analysis Laboratory of INIA Arequipa. The following parameters were analyzed: soil texture (<xref ref-type="bibr" rid="B13">Bouyoucos, 1962</xref>), pH (<xref ref-type="bibr" rid="B45">McLean, 1982</xref>), electrical conductivity (EC) (<xref ref-type="bibr" rid="B34">ISO, 1994</xref>), organic matter (OM) (<xref ref-type="bibr" rid="B75">Walkley and Black, 1934</xref>), total nitrogen (<xref ref-type="bibr" rid="B35">ISO, 1995</xref>), available phosphorus (<xref ref-type="bibr" rid="B51">Olsen and Sommers, 1982</xref>), and available potassium (<xref ref-type="bibr" rid="B62">Semarnat, 2002</xref>) as shown in the <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Physicochemical characteristics of the soil at the study site.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameter</th>
<th valign="middle" align="center">Unit</th>
<th valign="middle" align="center">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Textural class</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">Sandy loam</td>
</tr>
<tr>
<td valign="middle" align="left">Sand</td>
<td valign="middle" align="center">%</td>
<td valign="middle" align="center">63.3</td>
</tr>
<tr>
<td valign="middle" align="left">Clay</td>
<td valign="middle" align="center">%</td>
<td valign="middle" align="center">5.4</td>
</tr>
<tr>
<td valign="middle" align="left">Silt</td>
<td valign="middle" align="center">%</td>
<td valign="middle" align="center">31.3</td>
</tr>
<tr>
<td valign="middle" align="left">pH (1:1)</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">7.70</td>
</tr>
<tr>
<td valign="middle" align="left">EC (1:5)</td>
<td valign="middle" align="center">dS m<sup>-1</sup></td>
<td valign="middle" align="center">0.27</td>
</tr>
<tr>
<td valign="middle" align="left">OM</td>
<td valign="middle" align="center">%</td>
<td valign="middle" align="center">1.10</td>
</tr>
<tr>
<td valign="middle" align="left">N</td>
<td valign="middle" align="center">%</td>
<td valign="middle" align="center">0.06</td>
</tr>
<tr>
<td valign="middle" align="left">Available P</td>
<td valign="middle" align="center">mg kg<sup>-1</sup></td>
<td valign="middle" align="center">10.00</td>
</tr>
<tr>
<td valign="middle" align="left">Available K</td>
<td valign="middle" align="center">mg kg<sup>-1</sup></td>
<td valign="middle" align="center">651.67</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>2.4</label>
<title>Experimental plot management</title>
<p>The experimental plot was established in November 2023 and harvested in April 2024. This sowing occurred outside the regular growing season, as the typical sowing period at Santa Rita Irrigation falls between April and June. Prior to implementation, a drip irrigation system was installed using 16 mm outside diameter laterals with built-in emitters delivering a nominal flow rate of 1&#xa0;L h<sup>-</sup>&#xb9; at 60 kPa, spaced at 0.20 m intervals. Fertigation arches equipped with &#xbe;&#x201d; Venturi Wade Rain injectors were installed at the entrance of each main plot. The land was subsoiled, plowed, and leveled using a John Deere 6110D farm tractor. Raised beds measuring 0.30 m in height and spaced 0.80 m apart were constructed using a furrower with a track attached to the tractor. Irrigation laterals were positioned along the central axis of each bed. Sowing was conducted in double rows on the beds using a hand seeder model Clean Seeder JP-2 (Jang Automation Co., Ltd). Seeds of the Salcedo INIA quinoa variety (<xref ref-type="bibr" rid="B6">Apaza Mamani et&#xa0;al., 2013</xref>) provided by INIA were used. Following sowing, the first irrigation was applied for two hours to facilitate seed germination. Subsequent irrigation was carried out every two days. The crop water requirement was determined based on crop evapotranspiration (ETc), calculated as the product of reference evapotranspiration (ETo) and the crop coefficient (Kc). The ETo was derived from meteorological data recorded at the Santa Rita EEA, while the Kc values were based on those proposed by <xref ref-type="bibr" rid="B25">Garc&#xed;a Villanueva et&#xa0;al. (2017)</xref> for quinoa cultivation.</p>
<p>Based on the physicochemical characterization of the soil, fertilizer requirements were established, and ammonium nitrate (375 kg ha<sup>-</sup>&#xb9;), monoammonium phosphate (200 kg ha<sup>-</sup>&#xb9;), and potassium nitrate (400 kg ha<sup>-</sup>&#xb9;) were applied. Fertilization was delivered through drip fertigation at four-day intervals, starting 15 days after sowing (DAS). This fertigation frequency was selected to ensure a continuous and readily available nutrient supply in the root zone, particularly under arid conditions and in soils with limited water and nutrient retention capacity, thereby improving nutrient use efficiency and minimizing leaching losses. Nutrient application was synchronized with crop demand following a stage-based uptake pattern derived from published quinoa nutrient absorption curves (<xref ref-type="bibr" rid="B72">Ulloa and Valle, 2021</xref>) and practical experience in quinoa crop management, while phenological stage definition was based on <xref ref-type="bibr" rid="B50">N&#xfa;&#xf1;ez Ch&#xe1;vez (2018)</xref> (<xref ref-type="supplementary-material" rid="SM3"><bold>Supplementary Tables S3</bold></xref>, <xref ref-type="supplementary-material" rid="SM4"><bold>S4</bold></xref>). Accordingly, the 100% NPK treatment received 200&#x2013;120&#x2013;180 kg ha<sup>-</sup>&#xb9; of N, P<sub>2</sub>O<sub>5</sub>, and K<sub>2</sub>O, respectively, whereas the 75% NPK treatment received 150&#x2013;90&#x2013;135 kg ha<sup>-</sup>&#xb9; (<xref ref-type="supplementary-material" rid="SM5"><bold>Supplementary Tables S5</bold></xref>, <xref ref-type="supplementary-material" rid="SM6"><bold>S6</bold></xref>). Agricultural management practices included manual weeding at 25 DAS, leaving approximately 10 plants per linear meter. Phytosanitary control involved the application of SERENADE<sup>&#xae;</sup> SOIL (Bayer CropScience) at a rate of 2 L ha<sup>-</sup>&#xb9; during the second phenological stage, characterized by rapid root development (<xref ref-type="bibr" rid="B24">Garcia et&#xa0;al., 2015</xref>), to prevent and control <italic>Pythium</italic> spp. and <italic>Fusarium</italic> spp. Additionally, CURTINE-V<sup>&#xae;</sup> 720 WP (1 kg ha<sup>-</sup>&#xb9;) was applied during early grain filling for the control of <italic>Peronospora variabilis</italic> (<xref ref-type="bibr" rid="B24">Garcia et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s3_5">
<label>2.5</label>
<title>Microbial inoculation</title>
<p><italic>Pseudomonas putida</italic> (P3 strain) and <italic>Bacillus subtilis</italic> (BacF strain) were provided by the Santa Ana EEA of INIA and were preliminarily characterized according to <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe (2024)</xref>. Both strains were molecularly identified by sequencing of the 16S rRNA gene. Bacterial isolates were reactivated in nutrient broth and incubated at 37 &#xb0;C for 18 h. Genomic DNA was extracted using the JetFlex&#x2122; Genomic DNA Purification Kit (Thermo Scientific), following the manufacturer&#x2019;s instructions. The 16S rRNA gene was amplified by PCR using universal bacterial primers. PCR products were purified and commercially sequenced by Macrogen Inc. (Seoul, South Korea).</p>
<p>Raw sequences were edited and assembled using CodonCode Aligner v. 8.02, and multiple sequence alignments were performed with Clustal W v. 2.0 (<xref ref-type="bibr" rid="B40">Larkin et&#xa0;al., 2007</xref>). Taxonomic identification was carried out by comparison with reference sequences available in the NCBI database using the BLASTn algorithm (<xref ref-type="bibr" rid="B3">Altschul et&#xa0;al., 1990</xref>). Based on sequence similarity (&gt;99%), the strains were identified as <italic>Pseudomonas putida</italic> (P3) and <italic>Bacillus subtilis</italic> (BacF). The corresponding 16S rRNA gene sequences were deposited in the GenBank database under accession numbers MT982624 and MT982637, respectively.</p>
<p>The selection of this bacterial combination was based on the synergistic effects previously reported in promoting plant growth by <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe (2024)</xref>, as well as on the ability of these same strains to enhance stress tolerance as demonstrated in prior studies (<xref ref-type="bibr" rid="B68">Sol&#xf3;rzano-Acosta et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe, 2024</xref>). A microbial inoculum of these strains was independently prepared in nutrient broth and incubated at 28 &#xb0;C for 48 hours, reaching a final concentration of 1 &#xd7; 10<sup>9</sup> CFU mL<sup>-1</sup>. Two inoculation events were carried out during the crop cycle: the first at 10 DA and the second at 60 DAS, both at a rate of 6 L ha<sup>-</sup>&#xb9;. In each application, a total irrigation water volume of 62 m&#xb3; ha<sup>-</sup>&#xb9; was applied, resulting in an approximate concentration of 1 &#xd7; 10<sup>4</sup> CFU mL<sup>-</sup>&#xb9; at the irrigation emitters. Inoculations were applied through the irrigation system, independently and not concurrently with fertilizer application, in order to avoid potential negative effects on the microbial population associated with increased electrical conductivity of the solution (<xref ref-type="bibr" rid="B43">Li D. et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B80">Zhang et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s3_6">
<label>2.6</label>
<title>Biometric and physiological parameters</title>
<p>At 130 DAS, corresponding to the stage of maximum vegetative development, the leaf area index (LAI, cm&#xb2;cm<sup>-</sup>&#xb2;), SPAD index, and dry weight (g) were evaluated. All biometric measurements were performed on three representative plants per experimental unit. The weight of the aerial and root parts of the plant was determined using an electronic scale (Explorer&#x2122; Pro Precision, Ohaus, USA) with a measurement accuracy of 0.001 g. The dry weight was measured after the samples were dried in an oven (Memmert Schwabach 854) at 80 &#xb0;C until a constant weight was achieved. LAI was measured in the field using a 0.8 m-long ceptometer (AccuPAR model LP-80 PAR/LAI Ceptometer, Decagon Devices Inc.) between 11:00 and 13:00 h under clear sky conditions. Four measurements were taken in the central zone of the middle furrows for each experimental unit. During each measurement, the probe was positioned diagonally across two crop rows at the soil surface level, with the external radiation sensor placed above the crop. Chlorophyll content was assessed using a chlorophyll meter (SPAD 502, Minolta Camera Co. Ltd., Tokyo, Japan). For each leaf sample, measurements were taken at four different points on fully developed leaves located in the upper third of the plant. Plant height (cm) was recorded at harvest (160 DAS) on three representative plants per experimental unit.</p>
</sec>
<sec id="s3_7">
<label>2.7</label>
<title>Yield parameters</title>
<p>At 160 DAS, harvesting and evaluation of yield parameters, including panicle length (cm), panicle dry weight (g), thousand-seed weight (g), and commercial yield (t ha<sup>-</sup>&#xb9;), were conducted. Yield was determined by harvesting a central area of 2 m &#xd7; 2.4 m within each experimental unit. For measurements of panicle length and panicle dry weight, three representative plants were selected from the cultivated area of each experimental unit.</p>
</sec>
<sec id="s3_8">
<label>2.8</label>
<title>Statistical analysis</title>
<p>Data were analyzed using split-plot analysis of variance for biometric, physiological, and yield variables. Microbial inoculation (M) was assigned to main plots and fertilization levels (F) to subplots. Model assumptions were corroborated using the Shapiro-Wilk test for normality and Bartlett&#x2019;s test for homoscedasticity, as implemented in the stats package (v. 4.3.0) for the R Interactive document, which facilitates basic statistical analysis (<xref ref-type="bibr" rid="B12">Bolar et&#xa0;al., 2019</xref>). The statistical model was constructed using the sp.plot function from the agricolae package (v. 1.3-7) (<xref ref-type="bibr" rid="B46">Mendiburu, 2019</xref>). For variables showing significant differences, mean comparisons were performed using Tukey&#x2019;s Honestly Significant Difference (HSD) test (&#x3b1; = 0.05) via the HSD.test function from the same package.</p>
</sec>
</sec>
<sec id="s4" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s4_1">
<label>3.1</label>
<title>Biometric and physiological parameters</title>
<p>Among the biometric and physiological variables evaluated, only plant height, and the SPAD chlorophyll index exhibited significant interactions between fertilization dose and microbial inoculation. In terms of plant height, microbial inoculation did not result in significant differences when full fertilization was applied. However, at the reduced fertilization dose (75%), plants receiving microbial inoculation displayed greater height (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4A</bold></xref>; <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Effects of microbial inoculant application and two fertilization levels on quinoa crop biomass. <bold>(A)</bold> Height (cm), <bold>(B)</bold> Dry weight (g), and <bold>(C)</bold> Root dry weight (g). Means with different lowercase letters (a, b) indicate statistically significant differences among treatments at p&#x2009;&lt;&#x2009;0.05 for the HSD test. n.s. denotes a non-significant difference. Error bars represent the standard error of the mean (n = 4).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-08-1733699-g004.tif">
<alt-text content-type="machine-generated">Figure with three bar graphs labeled A, B, and C showing effects of fertilization and inoculation on plant growth parameters. Graph A displays plant height (centimeters) with higher NPK fertilization resulting in greater height, and significant differences marked by different letters. Graph B shows shoot dry weight (grams), where one hundred percent fertilization yields higher weight than seventy-five percent, and inoculation shows no significant effect. Graph C presents root dry weight (grams) with similar trends, higher under one hundred percent fertilization and no significant effect from inoculation. Error bars represent standard error.</alt-text>
</graphic></fig>
<p>Regarding plant biomass, significant differences were observed for the main effects of microbial inoculation and fertilization dose. Microbial inoculation resulted in a significant increase in dry weight (DW) compared to non-inoculated treatments, with an average enhancement of 12% (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4B</bold></xref>). Additionally, the fertilization dose significantly influenced root dry weight (RDW), with the 100% NPK treatment exhibiting 22% higher values than the 75% NPK treatment (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). The leaf area index (LAI) exhibited significant differences, with the 100% NPK treatment showing values 12% higher than the 75% NPK treatment (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>), consistent with the trend observed in the crop&#xb4;s total fresh weight. Regarding the chlorophyll index (SPAD), a significant interaction was observed between microbial inoculation and fertilization levels. Microbial inoculation with <italic>Pseudomonas putida</italic> and <italic>Bacillus subtilis</italic> significantly increased the SPAD index in plants receiving 75% NPK fertilization, aligning their values with those of the 100% NPK treatment (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>). However, in plants fertilized with 100% NPK, microbial inoculation did not induce significant changes in the SPAD index (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Effects of microbial inoculant application and two fertilization levels on quinoa crop biomass. <bold>(A)</bold> Leaf area index (cm&#xb2;&#xb7;cm<sup>-</sup>&#xb2;) and <bold>(B)</bold> SPAD. Means with different lowercase letters (a, b) indicate statistically significant differences among treatments at p&#x2009;&lt;&#x2009;0.05 for the HSD test. n.s. denotes a non-significant difference. Error bars represent the standard error of the mean (n = 4).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-08-1733699-g005.tif">
<alt-text content-type="machine-generated">Panel A shows a bar chart comparing Leaf Area Index (LAI) for two fertilization levels (seventy-five percent and one hundred percent) and inoculation treatments, with higher LAI at one hundred percent fertilization and no significant difference between inoculation treatments. Panel B presents a bar chart of SPAD values for the same fertilization levels and inoculation treatments, showing higher SPAD at seventy-five percent fertilization with inoculation and similar high SPAD at one hundred percent fertilization regardless of inoculation. Error bars and statistical group letters are included.</alt-text>
</graphic></fig>
</sec>
<sec id="s4_2">
<label>3.2</label>
<title>Yield parameters</title>
<p>Microbial inoculant application had a significant effect on panicle dry weight (PW) and thousand-seed weight. PW increased by an average of 19% in treatments inoculated with <italic>Pseudomonas putida</italic> and <italic>Bacillus subtilis</italic> compared to non-inoculated treatments (<xref ref-type="fig" rid="f6"><bold>Figures&#xa0;6A, C</bold></xref>). A similar trend was observed for thousand-seed weight, depending on the inoculation treatment. Regarding the commercial yield, only fertilization showed a significant main effect on it. The 75% fertilization treatments yield, on average, 34% less than the 100% NPK treatment (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6D</bold></xref>). The average yield for all the treatments was 1.53 t ha<sup>-1</sup> (T1: 2.20 &#xb1; 0.30 t ha<sup>-1</sup>, T2: 1.42 &#xb1; 0.19 t ha<sup>-1</sup>, T3: 1.50 &#xb1; 0.30 t ha<sup>-1</sup>, T4: 1.02 &#xb1; 0.13 t ha<sup>-1</sup>) (<xref ref-type="supplementary-material" rid="SM2"><bold>Supplementary Table S2</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Effect of microbial inoculant application and two fertilization levels on quinoa crop performance. <bold>(A)</bold> Panicle weight (g), <bold>(B)</bold> Panicle length (cm), <bold>(C)</bold> Thousand-seed weight (g), and <bold>(D)</bold> Yield (t&#xb7;ha<sup>-1</sup>). Means with different lowercase letters (a, b) indicate statistically significant differences among treatments at p&#x2009;&lt;&#x2009;0.05 for the HSD test. n.s. denotes a non-significant difference. Error bars represent the standard error of the mean (n = 4).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fagro-08-1733699-g006.tif">
<alt-text content-type="machine-generated">Four bar charts labeled A to D compare panicle weight, panicle length, thousand seed weight, and yield under different fertilization (seventy-five percent, one hundred percent) and inoculation (negative, positive) treatments. Significant differences are marked by different letters; &#x201c;n.s.&#x201d; indicates non-significant results.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study evaluated the fertigation-based application of a microbial inoculant composed of rhizobacteria from the genera <italic>Pseudomonas</italic> and <italic>Bacillus</italic> in the Salcedo INIA quinoa variety, cultivated out of season. The inoculant&#x2019;s effect was analyzed as a growth and yield promoter under arid climatic conditions with persistent moisture deficiency (<xref ref-type="bibr" rid="B63">SENAMHI, 2020</xref>). The beneficial effects of plant growth-promoting rhizobacteria (PGPR) are well-documented and include enhanced nutrient uptake, phytohormone production, and the release of substances that improve resistance to abiotic stress through the accumulation of specific solutes (<xref ref-type="bibr" rid="B60">Sarti et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B61">Sarti and Miyazaki, 2013</xref>; <xref ref-type="bibr" rid="B76">Wang et&#xa0;al., 2024</xref>).</p>
<p>In line with these findings, plants treated with microbial inoculant and 75% NPK fertilization exhibited greater height than those without inoculation. Additionally, PGPR application led to a higher accumulation of dry biomass (12%). <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe (2024)</xref> reported that the <italic>Bacillus subtilis</italic> strain used in their study enhances soil NPK extraction and improves nitrogen uptake efficiency. Likewise, <italic>Pseudomonas putida</italic> can solubilize poorly soluble phosphate compounds by releasing low-molecular-weight organic acids, such as gluconic acid, and producing phosphatases and phytases, which break down organic phosphate compounds. This process acidifies the external environment, chelates phosphate-bound cations, and increases phosphate availability (<xref ref-type="bibr" rid="B37">Khoso et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B56">Rafique et&#xa0;al., 2022</xref>).</p>
<p>Based on these mechanisms, microbial inoculation can induce vegetative development, including increased root biomass (<xref ref-type="bibr" rid="B56">Rafique et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe, 2024</xref>). However, in contrast to the findings of <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe (2024)</xref>, our results did not show significant differences in root dry biomass&#xa0;despite a tendency toward higher values in inoculated treatments (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4C</bold></xref>). This discrepancy may be related to the&#xa0;characteristics of the Salcedo INIA quinoa variety, which prioritizes biomass development under stress conditions (<xref ref-type="bibr" rid="B5">Antezana, 2019</xref>). Temperature effects may also have influenced vegetative development, as quinoa&#x2019;s adaptability to high temperatures without water deficit has been linked to the development of larger stomata and an increased number and length of lateral branches, often at the expense of better root development (<xref ref-type="bibr" rid="B9">Becker et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B31">Hinojosa et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B65">Serrat et&#xa0;al., 2024</xref>).</p>
<p>This thermal effect was reflected in the leaf area index (LAI), which showed the highest values in treatments receiving full fertilization, whereas microbial inoculant treatments did not exhibit significant differences (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5A</bold></xref>). This suggests that optimal leaf distribution was favored under conditions of sufficient water and nutrient availability (<xref ref-type="bibr" rid="B9">Becker et&#xa0;al., 2017</xref>). Additionally, studies such as those by <xref ref-type="bibr" rid="B36">Kakabouki et&#xa0;al. (2019)</xref> indicate that increasing nitrogen doses to 200 kg ha<sup>-</sup>&#xb9; in quinoa cultivation can enhance LAI, thereby improving yield. The resulting increase in LAI may facilitate greater light capture, potentially boosting photosynthesis and ensuring an adequate supply of assimilates to the developing organs of the quinoa plant. Plant chlorophyll content is closely linked to photosynthetic capacity and nutritional status, as nitrogen is a fundamental component of this biomolecule (<xref ref-type="bibr" rid="B69">Su et&#xa0;al., 2017</xref>). The SPAD chlorophyll index serves as an indicator of plant nitrogen status, demonstrating a positive correlation with nitrogen availability (<xref ref-type="bibr" rid="B57">Ribeiro Da Cunha et&#xa0;al., 2015</xref>). Accordingly, the values recorded for the 75% fertilization treatments tended to be lower than those for full fertilization. However, under fertilization stress conditions, microbial inoculation enabled chlorophyll content to remain statistically comparable to treatments receiving full NPK doses, with an average increase of 10% (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5B</bold></xref>).</p>
<p>Studies such as that by <xref ref-type="bibr" rid="B21">Ferioun et&#xa0;al. (2024)</xref> reported increases&#xa0;of 13&#x2013;30% in SPAD values following the application of formulations containing <italic>Achromobacter insolitus</italic>, <italic>Pseudomonas putida</italic>, <italic>Providencia rettgeri</italic>, and <italic>Alcaligenes</italic> sp. Similarly, <xref ref-type="bibr" rid="B42">Li J. et&#xa0;al. (2023)</xref> observed higher chlorophyll levels in quinoa crops treated with <italic>Bacillus</italic>-based inoculants. This trend has also been documented in maize, tomato, strawberry, oats, alfalfa, and cucumber using <italic>Bacillus</italic> and <italic>Pseudomonas</italic> as microbial inoculants (<xref ref-type="bibr" rid="B1">Abbasi et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B17">Chebotar et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B44">Li et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B18">El hjouji et&#xa0;al., 2025</xref>). Similar to plant height, once the crop&#x2019;s nutritional requirements were met, microbial inoculation did not lead to further significant increases in chlorophyll content. This suggests that quinoa has an upper limit for nutrient uptake, beyond which additional inputs do not further enhance its physiological potential (<xref ref-type="bibr" rid="B15">C&#xe1;rdenas-Castillo et&#xa0;al., 2021</xref>).</p>
<p>The capacity of <italic>Pseudomonas putida</italic> (P3 strain) and <italic>Bacillus subtilis</italic> (BacF strain) to enhance yield-related traits is evident in the <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>, where microbial inoculation led to increased panicle dry weight at both fertilization levels, as well as higher thousand-grain weight. These findings demonstrate that these inoculants positively influence grain yield, a key agronomic trait, possibly through the production of growth hormones and/or nutrient mobilization (<xref ref-type="bibr" rid="B55">Rafique et&#xa0;al., 2025</xref>). <xref ref-type="bibr" rid="B67">Sol&#xf3;rzano-Acosta and Quispe (2024)</xref> reported that the <italic>Pseudomonas putida</italic> strains used in their study can solubilize phosphates and produce siderophores, while <italic>Bacillus subtilis</italic> enhances nitrogen uptake efficiency&#x2014;mechanisms that align with their potential to improve crop yields. Similarly, <xref ref-type="bibr" rid="B16">Castillo et&#xa0;al. (2022)</xref> highlighted the ability of <italic>Bacillus</italic> sp. to enhance nitrogen fixation and phosphorus solubilization in quinoa, resulting in improvements in growth parameters, including length, weight, diameter of the panicle, and grain yield. Additionally, <xref ref-type="bibr" rid="B56">Rafique et&#xa0;al. (2022)</xref> reported that <italic>Pseudomonas</italic> spp. significantly enhance quinoa growth and yield by improving relative water content, quantum flux, diffusive resistance, and crop transpiration rate.</p>
<p>Despite a general trend toward higher yields through microbial inoculation, this did not translate into significant improvements in commercial yield. However, the positive effect of full fertilization on commercial yields was confirmed, reflecting quinoa&#x2019;s strong ability to assimilate fertilizers at the proposed doses. <xref ref-type="bibr" rid="B15">C&#xe1;rdenas-Castillo et&#xa0;al. (2021)</xref> suggested that quinoa grown in low-fertility areas, such as the Peruvian coast, can achieve yields exceeding 3.6 t ha<sup>-</sup>&#xb9; after assimilating approximately 240 kg ha<sup>-</sup>&#xb9; of nitrogen. Furthermore, fertilization rates of 90 kg ha<sup>-</sup>&#xb9; phosphorus and 105 kg ha<sup>-</sup>&#xb9; potassium have been reported to enhance both yield and nutritional content in quinoa (<xref ref-type="bibr" rid="B36">Kakabouki et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B70">Taaime et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B73">Van Minh et&#xa0;al., 2022</xref>).</p>
<p>Despite improvements in vegetative development and a positive trend in yield potential (i.e., greater panicle and thousand-seed weights), the obtained commercial yields were lower than the typical 4 t ha<sup>-</sup>&#xb9; reported for the Salcedo INIA quinoa variety in coastal production areas (<xref ref-type="bibr" rid="B33">INIA, 2014</xref>). This outcome may be primarily attributed to the atypical sowing season, which coincided with high temperatures (33 &#xb0;C) during the flowering stage. Such conditions have been reported to reduce quinoa grain-setting efficiency by altering the final number of grains per abortion (<xref ref-type="bibr" rid="B11">Bertero and Ruiz, 2008</xref>; <xref ref-type="bibr" rid="B41">Lesjak and Calderini, 2017</xref>). Given that the Salcedo INIA variety is adapted for coastal environments with average temperatures of 24&#x2013;25 &#xb0;C (<xref ref-type="bibr" rid="B20">FAO, 2015</xref>), it is likely that heat stress during flowering negatively impacted grain set efficiency. Similarly, <xref ref-type="bibr" rid="B31">Hinojosa et&#xa0;al. (2019)</xref> investigated quinoa growth and pollen morphology in response to high temperatures, reporting a 30&#x2013;70% reduction in pollen viability under heat stress. However, they found that seed size and leaf greenness were unaffected, while photosynthesis rates increased, demonstrating quinoa&#x2019;s high plasticity in response to elevated temperatures and environmental stresses (<xref ref-type="bibr" rid="B4">Alzahrani et&#xa0;al., 2024</xref>).</p>
<p>Based on these findings, the use of microbial inoculants <italic>Pseudomonas putida</italic> (P3 strain) and <italic>Bacillus subtilis</italic> (BacF strain) has a positive effect on quinoa cultivation in low-fertility, arid environments such as the Peruvian coast. This effect is particularly significant under reduced fertilization conditions, suggesting a potential strategy to lower production costs without compromising biomass, especially in fields that employ drip irrigation systems. On one hand, microbial inoculants enhance nutrient uptake efficiency; on the other, they represent an underutilized technology in the country that could be integrated with more widely adopted practices in coastal agriculture, such as pressurized irrigation systems.</p>
<p>However, careful management of sowing seasons is crucial for this variety, as its ability to tolerate temperatures above 30 &#xb0;C during the full flowering and grain-setting stages is limited, which ultimately compromises commercial yield. In this context, beyond the use of PGPR, it may also be necessary to incorporate varietal selection or breeding programs aimed at improving heat tolerance, so that microbial strategies are complemented by greater crop resilience.</p>
<p>It should be acknowledged that the application of SERENADE SOIL (<italic>Bacillus subtilis</italic> QST 713 strain) to all treatments, including the non-inoculated controls, represents a methodological limitation of this study. Its use was necessary to prevent severe phytosanitary losses and ensure uniform plant survival. Therefore, the non-inoculated treatment cannot be considered a completely Bacillus-free control. Importantly, this experimental condition implies that the treatment comparisons should not be interpreted as &#x201c;PGPR versus no PGPR&#x201d;, but rather as &#x201c;BacF + <italic>B. subtilis</italic> QST 713&#x201d; versus &#x201c;<italic>B. subtilis</italic> QST 713 alone&#x201d;. Although <italic>B. subtilis</italic> QST 713 is primarily recognized for its antifungal activity, its presence may have partially masked or attenuated the exclusive effects of the BacF PGPR strain. Therefore, the physiological and agronomic responses observed in this study reflect the additional or synergistic contribution of BacF under a baseline biofungicide application, rather than its isolated effect. Despite this limitation, the consistent differences between inoculated and non-inoculated treatments indicate that BacF exerted functional effects beyond those provided by <italic>B. subtilis</italic> QST 713 alone. Future studies should include treatments without Bacillus-based fungicides and, where possible, monitor microbial populations to more precisely distinguish the individual contributions of biocontrol agents and PGPR inoculants.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This study demonstrates that the integration of <italic>Pseudomonas putida</italic> (P3 strain) and <italic>Bacillus subtilis</italic> (BacF strain) through fertigation promotes quinoa growth and biomass accumulation, particularly under reduced fertilization in arid coastal environments. Microbial inoculation enhanced nutrient uptake and yield components such as panicle weight and thousand-grain weight, highlighting its potential to optimize production while reducing dependence on chemical fertilizers. However, commercial yield was constrained by heat stress during flowering ((+)100%: 2.20 &#xb1; 0.30 t ha<sup>-1</sup>, (+)75%: 1.42 &#xb1; 0.19 t ha<sup>-1</sup>, (-)100%: 1.50 &#xb1; 0.30 t ha<sup>-1</sup>, (+)75%: 1.02 &#xb1; 0.13 t ha<sup>-1</sup>), underscoring the importance of proper sowing date management and the need to complement microbial strategies with variety selection or breeding for heat tolerance.</p>
<p>From a sustainability perspective, fertigation with microbial inoculants represents an environmentally friendly alternative that can reduce fertilizer use, improve soil health, and strengthen the resilience of agroecosystems. Broader validation across different environments, cost&#x2013;benefit evaluations, and assessments of grain nutritional quality are required to confirm its broader applicability. Extending this approach to other regional crops such as maize and rice could further increase agricultural productivity while safeguarding natural resources in Peru.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AQ: Writing &#x2013; review &amp; editing, Conceptualization, Methodology, Writing &#x2013; original draft. RP-C: Investigation, Methodology, Writing &#x2013; original draft. RF-M: Methodology, Writing &#x2013; review &amp; editing, Supervision, Writing &#x2013; original draft. RS-A: Supervision, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If&#xa0;you identify any issues, please contact us.</p></sec>
<sec id="s12" 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="s13" 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/fagro.2026.1733699/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fagro.2026.1733699/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;1</label>
<caption>
<p>Biometric and physiological parameters at different fertilization and microbial inoculation levels.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;2</label>
<caption>
<p>Yield parameters at different fertilization and microbial inoculation levels.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table3.docx" id="SM3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;3</label>
<caption>
<p>Nitrogen, phosphorus, and potassium requirements of quinoa at different phenological stages at 100%.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table4.docx" id="SM4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;4</label>
<caption>
<p>Fertilizer application schedule and nutrient supply (N, P<sub>2</sub>O<sub>5</sub>, and K<sub>2</sub>O) of quinoa expressed as days after sowing (DAS) at 100%.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table5.docx" id="SM5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;5</label>
<caption>
<p>Nitrogen, phosphorus, and potassium requirements of quinoa at different phenological stages at 75%.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table6.docx" id="SM6" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"><label>Supplementary Table&#xa0;6</label>
<caption>
<p>Fertilizer application schedule and nutrient supply (N, P<sub>2</sub>O<sub>5</sub>, and K<sub>2</sub>O) of quinoa expressed as days after sowing (DAS) at 75%.</p>
</caption></supplementary-material></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/901699">Mohamed T. El-Saadony</ext-link>, Zagazig University, Egypt</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3291516">Aptika Hana Prastiwi Nareswari</ext-link>, Universitas Kadiri, Indonesia</p></fn>
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