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<front>
<journal-meta>
<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>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpls.2023.1087035</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>Irrigation with primary wastewater alters wood anatomy and composition in willow <italic>Salix miyabeana</italic> SX67</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jerbi</surname>
<given-names>Ahmed</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2069487"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Laur</surname>
<given-names>Joan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/426045"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lajoie</surname>
<given-names>Kevin</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gallant</surname>
<given-names>Pierre-Paul</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2217067"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Barnab&#xe9;</surname>
<given-names>Simon</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1713932"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pitre</surname>
<given-names>Frederic E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/237993"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Labrecque</surname>
<given-names>Michel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/285294"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institut de recherche en biologie v&#xe9;g&#xe9;tale, Universit&#xe9; de Montr&#xe9;al</institution>, <addr-line>Montr&#xe9;al, QC</addr-line>, <country>Canada</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Montreal Botanical Garden, Research and Development Division</institution>, <addr-line>Montr&#xe9;al, QC</addr-line>, <country>Canada</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institut d&#x2019;Innovations sur les &#xc9;comat&#xe9;riaux, &#xc9;coproduits et &#xc9;co&#xe9;nergies &#xe0; base de biomasse (I2E3), Universit&#xe9; du Qu&#xe9;bec &#xe0; Trois-Rivi&#xe8;res</institution>, <addr-line>Trois-Rivi&#xe8;res</addr-line>, <country>Canada</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>&#xc9;cole de technologie sup&#xe9;rieure, Universit&#xe9; du Qu&#xe9;bec</institution>, <addr-line>Montr&#xe9;al, QC</addr-line>, <country>Canada</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Holger Klose, Helmholtz Association of German Research Centres (HZ), Germany</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Elizabeth Nichols, North Carolina State University, United States; Silvia Diane Schrey, Helmholtz Association of German Research Centres (HZ), Germany; Andrej Pilipovic, University of Novi Sad, Serbia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ahmed Jerbi, <email xlink:href="mailto:ahmed.jerbi@umontreal.ca">ahmed.jerbi@umontreal.ca</email>; Joan Laur, <email xlink:href="mailto:joan.laur@umontreal.ca">joan.laur@umontreal.ca</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Technical Advances in Plant Science, a section of the journal Frontiers in Plant Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1087035</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Jerbi, Laur, Lajoie, Gallant, Barnab&#xe9;, Pitre and Labrecque</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Jerbi, Laur, Lajoie, Gallant, Barnab&#xe9;, Pitre and Labrecque</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>
<p>Traditional treatment of wastewaters is a burden for local governments. Using short rotation coppice willow (SRCW) as vegetal filter has several environmental and economic benefits. Here, we investigated the effect of primary wastewater irrigation on wood structure and composition of the willow cultivar <italic>Salix miyabeana</italic> &#x2018;SX67&#x2019; following two years of growth. Compared to unirrigated plants (UI), stem sections of plants irrigated with primary wastewater (WWD) showed an unexpected decrease of hydraulic conductance (K<sub>S</sub>) associated with a decrease in vessel density but not vessel diameter. The majority (86%) of vessels had diameters range groups [20-30[, [30-40[and [40-50[&#xb5;m and contributed to &gt; 75% of theoretical K<sub>S</sub>, while the group class [50-60[&#xb5;m (less than 10% of vessels) still accounted for &gt; 20% of total K<sub>S</sub> regardless irrigation treatments. WWD significantly alters the chemical composition of wood with an increase of glucan content by 9 to 16.4% and a decrease of extractives by 35.3 to 36.4% when compared to UI or to plants irrigated with potable water (PW). The fertigation did also increase the proportion of the tension wood which highly correlated with glucan content. In the context of energetic transition and mitigation of climate change, such results are of high interest since WWD effectively permit the phytofiltration of large amounts of organic contaminated effluents without impairing SRCW physiology.</p>
</abstract>
<kwd-group>
<kwd>willow</kwd>
<kwd>wastewater</kwd>
<kwd>phytofiltration</kwd>
<kwd>cell wall composition</kwd>
<kwd>hydraulic conductance</kwd>
<kwd>sustainable biomass</kwd>
</kwd-group>
<contract-num rid="cn001">RNM80419, RNM80389, RNM80271</contract-num>
<contract-sponsor id="cn001">Universit&#xe9; de Montr&#xe9;al<named-content content-type="fundref-id">10.13039/501100005242</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="58"/>
<page-count count="12"/>
<word-count count="7304"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<p>
<bold>-</bold> Primary wastewater irrigation alters willow wood properties;</p>
<p>
<bold>-</bold> Plants irrigated with primary wastewater showed a high proportion of tension wood and a decrease of hydraulic conductance (K<sub>S</sub>) associated with lower vessel density;</p>
<p>
<bold>-</bold> Fertigation increased glucan content but decreased extractives;</p>
<p>- Glucan content highly correlates with the proportion of tension wood.</p>
</sec>
<sec id="s2" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Standard treatment strategies of municipal wastewater have a high financial cost. It is also not totally efficient to decontaminate wastewater that can be released untreated or undertreated in the environment with release of high ammonia content within natural water bodies (<xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al., 2020</xref>). In Canada, near to 6 trillion liters of municipal wastewater is discharged each year from which an estimated 100-270 billion liters is released into the environment without any treatment, ~1.5 trillion liters receives primary treatment (where suspended solids and some organic matter are removed), ~2.8 trillion liters receives secondary treatment (where organic matter is degraded using biological treatment) and ~1.4 trillion liters receives tertiary treatment (where remaining solids, nutrient and emerging contaminants are removed by a range of polishing steps) (<xref ref-type="bibr" rid="B47">Statistics Canada, 2017</xref>).</p>
<p>The use of short-rotation willow coppice (SRWC) as a vegetation filter has potential to both drastically enhance plantation productivity and improve the quality of pretreated wastewater prior to discharge into a water body (<xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Jerbi et&#xa0;al., 2015</xref>). Since this approach fulfills by far the willow requirement in term of water and nitrogen, it allows plants to overcome their high evapotranspiration rate and thus improve carbon assimilation and biomass production (<xref ref-type="bibr" rid="B10">Dimitriou and Aronsson, 2004</xref>; <xref ref-type="bibr" rid="B11">Dimitriou and Aronsson, 2011</xref>; <xref ref-type="bibr" rid="B26">de Miguel et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>). Previous studies have reported the positive effects of wastewater fertigation on various physiological and morphological SRWC parameters: leaf area, leaf N content, chlorophyll content, stomatal conductance, photosynthesis and carbon assimilation, below ground biomass and above ground productivity (<xref ref-type="bibr" rid="B11">Dimitriou and Aronsson, 2011</xref>; <xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Jerbi et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B21">Lachapelle-T. et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al., 2020</xref>). Xylem development and the resulting wood characteristics are also strongly affected by environmental parameters, namely water or nitrogen availability (<xref ref-type="bibr" rid="B3">Arend and Fromm, 2007</xref>; <xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B29">Pitre et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B31">Plavcov&#xe1; and Hacke, 2012</xref>; <xref ref-type="bibr" rid="B2">Anfodillo et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B32">Plavcov&#xe1; et&#xa0;al., 2013</xref>, <xref ref-type="bibr" rid="B1000">Wang et&#xa0;al., 2019</xref>) which are not limited in the present context. Yet very little is known about the effect of municipal effluent fertigation on the structural and chemical biomass composition even though its alterations could not only influence plant physiology (<xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al., 2020</xref>) but also biofuel production.</p>
<p>At the anatomical level, wood structure is altered in response to fertigation, the physical structure of vessel and fiber cells (i.e. number per unit area) within the xylem tissue have a great impact on plant function as a whole and on wood hydraulic and mechanical properties (<xref ref-type="bibr" rid="B25">Mellerowicz et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B24">Mart&#xed;nez-Cabrera et&#xa0;al., 2011</xref>). Specific conductivity (theorical K<sub>S</sub>) and hydraulic conductance are functions of vessel density and stem (<xref ref-type="bibr" rid="B51">Tyree and Zimmermann, 2002</xref>). Although larger vessels are likely to improve hydraulic conductance, such conduits result in a lower fraction of supporting tissue and thus lead to a decrease in stem mechanical strength (<xref ref-type="bibr" rid="B33">Poorter et&#xa0;al., 2010</xref>). They are also more vulnerable to embolism when exposed to environmental stresses like drought, heat waves and freeze-thaw events (<xref ref-type="bibr" rid="B1001">Sperry et al., 2008</xref>; <xref ref-type="bibr" rid="B24">Mart&#xed;nez-Cabrera et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B31">Plavcov&#xe1; and Hacke, 2012</xref>; <xref ref-type="bibr" rid="B16">Hacke et&#xa0;al., 2017</xref>), the latter being frequent in remote regions of Canada where the effective deployment of this combined phytotechnology (SRWC + vegetation filter) has the greatest potential.</p>
<p>Wood composition as well as the form of major polymers, lignin, cellulose and hemicellulose, vary also considerably between plant species, genotypes and because of environmental factors (<xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B46">de Souza, 2013</xref>). Conducted mostly on poplar, several studies have reported the effects of N fertilization on wood structure (mostly fiber lumen and cell walls) and chemical composition, especially the content of extractives, lignin, glucose, xylose and arabinose (<xref ref-type="bibr" rid="B41">Serapiglia et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Ray et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B42">Serapiglia et&#xa0;al., 2013b</xref>; <xref ref-type="bibr" rid="B52">Wan et&#xa0;al., 2014</xref>). Nitrogen availability affects the development of secondary xylem during cell division and differentiation and leads to an alteration of either xylem anatomy and/or wood structural composition (<xref ref-type="bibr" rid="B23">Luo et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B29">Pitre et&#xa0;al., 2010</xref>) with an increase in cellulose content, a reduced lignin fraction, an increase of the tension wood proportion, a decrease of fiber cell walls and a decline in wood density (<xref ref-type="bibr" rid="B17">Harvey and van den Driessche, 1999</xref>; <xref ref-type="bibr" rid="B23">Luo et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B29">Pitre et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B39">Serapiglia et&#xa0;al., 2013a</xref>). Albeit willow cultivation is of equal economic importance, less research has assessed the effect of high N fertilization on the compositional and morphological traits of willow cultivars.</p>
<p>The aim of this study was to investigate the short-term effects of primary municipal wastewater on wood mechanical structure and composition of willow cultivar <italic>Salix miyabeana</italic> &#x2018;SX67&#x2019;. We test the hypothesis that fertigation with high-N-content wastewater effluent (WWD) would alter the wood composition (i.e. the lignocellulosic structure of fiber cell-wall) as well as the xylem structure with a wider vessel for WWD plants when compared to either unirrigated and/or potable water irrigated plants, thus, enhancing plant water conductance capacity.</p>
</sec>
<sec id="s3" sec-type="materials|methods">
<label>2</label>
<title>Material and methods</title>
<sec id="s3_1">
<label>2.1</label>
<title>Study site and plant material</title>
<p>The experimental plantation was located in Saint-Roch-de-l&#x2019;Achigan (45&#xb0; 50&#x2032; 50&#x2033;N&#x2013;73&#xb0; 38&#x2032; 27&#x2033;W), 57&#xa0;m above sea level, 55&#xa0;km northeast of Montreal (Quebec), Canada. The regional climate is humid continental with noticeable seasonal temperature variations, warm, humid summers and cold winters. According to the nearest weather station in Assomption (45&#xb0; 48 34&#x201d;N&#x2013;73&#xb0; 26 05&#x201d;W), the annual average minimum and maximum temperatures for the period 2003-2017 are respectively 1 &#xb1; 12&#xb0;C and 11 &#xb1; 13&#xb0; C. During the growing period (from May 1 to October 31, 2017), average minimum and maximum temperatures were recorded by in-field meteorological station and corresponded to 9.8 &#xb1; 5.6&#xb0; C and 22.1 &#xb1; 6.5&#xb0; C respectively (<xref ref-type="bibr" rid="B1">Amiot et&#xa0;al., 2020</xref>). The average annual precipitation was 1102&#xa0;mm (2005-2015).</p>
<p>Four hectares of <italic>Salix miyabeana</italic> &#x2018;SX67&#x2019; were established in 2008 at a density of 16,000 trees ha<sup>&#x2212;1</sup> with 1.8&#xa0;m and 0.35&#xa0;m spacing respectively between willow rows and between cuttings within each row (<xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Jerbi et&#xa0;al., 2015</xref>). A first experiment aimed at treating secondary municipal wastewater effluent was conducted on the plantation between 2009 and 2012 (<xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Jerbi et&#xa0;al., 2015</xref>). The plantation was last coppiced prior the present experiment when plants roots were seven-year-old in the autumn of 2015. In 2016, a randomized block design was set up (plots spatially distinct from those of 2009-2012 study) comprising four irrigation treatments replicated three times: a control without irrigation (UI), irrigation with potable water (PW), and irrigation with two different doses of the same primary effluent wastewater (<xref ref-type="bibr" rid="B21">Lachapelle-T. et&#xa0;al., 2019</xref>). Only UI, PW and the lowest dose of wastewater (noted here as WWD) are used in the present study. Nine experimental square plots (3 treatments x 3 plots) of 100 m<sup>2</sup> were delimited, each containing six rows of willow with the four central rows irrigated. Four randomly chosen plants in each of those latter four rows were identified and served for most of sampling and analysis reported here.</p>
<p>Primary wastewater was obtained from the local municipal wastewater treatment facility and was allowed to rest for at least 24&#xa0;h in a conventional septic tank prior to irrigation of the plantation with no further chemical or biological treatment. The plantation was irrigated 111 and 163 days respectively for 2016 and 2017 with a daily dose of respectively 14&#xa0;mm and 13&#xa0;mm for PW, 10&#xa0;mm and 12&#xa0;mm for WWD. The average annual loads of elements given to the WWD plants through fertigation were 594&#xa0;kg N ha<sup>-1</sup>, 58&#xa0;kg P ha<sup>-1</sup>, 174&#xa0;kg K ha<sup>-1</sup>, 1776&#xa0;kg Ca ha<sup>-1</sup>, 515&#xa0;kg Mg ha<sup>-1</sup>, 3566&#xa0;kg Na ha<sup>-1</sup> and 5491&#xa0;kg Cl ha<sup>-1</sup>. Experimental setup schematic, characterization of primary wastewater, annual precipitation, loads of water and wastewater as well as the loads of all the nutrients through wastewater irrigation (per year and cumulative) are presented in the supplementary material (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S1&#x2013;S3</bold>
</xref>), further details on the experiment are described in <xref ref-type="bibr" rid="B21">Lachapelle-T. et&#xa0;al. (2019)</xref>; <xref ref-type="bibr" rid="B1">Amiot et&#xa0;al. (2020)</xref> and <xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al. (2020)</xref>.</p>
</sec>
<sec id="s3_2">
<label>2.2</label>
<title>Plant sampling and biomass processing</title>
<p>At the end of the 2017 growing season, all above-ground biomass from the four labelled trees within each plot were harvested, for a total of 36 plants (3 treatments x 12 replicates). All trees were fresh-weighed on the field and random subsamples of stems were oven dried at 105&#xb0; C for 72&#xa0;h to assess moisture content. The biomass yields were estimated based on dry matter yields at planting density of 16,000 trees ha<sup>&#x2212;1</sup>.</p>
</sec>
<sec id="s3_3">
<label>2.3</label>
<title>Wood density (wood specific gravity)</title>
<p>In August 2017, two 20-25&#xa0;cm stem sections were collected from the 36 labelled trees. They were immediately fixed in a formaldehyde-acetic acid-alcohol solution (FAA solution: 3.7% formaldehyde, 5% acetic acid and 47% alcohol). Subsections (3-4&#xa0;cm; one per tree) were labelled, vacuum infiltrated with water for 48&#xa0;h and used to determine stem volume by water displacement. Wood specific gravity was later calculated from green volume and oven-dry weight at 105&#xb0; C (<xref ref-type="bibr" rid="B4">Berthod et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B5">Brereton et&#xa0;al., 2015</xref>).</p>
</sec>
<sec id="s3_4">
<label>2.4</label>
<title>Microscopy and image analysis</title>
<p>As fertigated trees were more developed than UI and PW trees, stem sections were collected at different stem height (e.g. sections at breast height for UI and PW, but at a higher level for WWD) in order to compare developmentally similar wood (<xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>). Stems were sectioned where wood had already transitioned to secondary growth before irrigation began, thus allowing analysis of the wood (secondary xylem) that was formed before and during the irrigation period to assess the effect of nitrogen fertilization on growth, development and on histologic wood properties (<xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>). The diameter of the sections were between 9 and 10&#xa0;mm.</p>
<sec id="s3_4_1">
<label>2.4.1</label>
<title>Stem sectioning and staining</title>
<p>A transverse section of 25 &#x3bc;m thickness of a FAA-fixed stem was made using a rotary microtome (Leica RM2235, Germany). To monitor changes in the relative proportion of lignin and cellulose, the 25 &#x3bc;m cross section was double-stained with 1% aqueous Safranin O to stain lignified cell walls and with 1% Chlorazol Black E in methoxyethanol to staining cellulose G-fiber. Sections were permanently mounted on glass slides with DPX medium (<xref ref-type="bibr" rid="B6">Brereton et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B7">Brereton et&#xa0;al., 2012</xref>).</p>
</sec>
<sec id="s3_4_2">
<label>2.4.2</label>
<title>Image acquisition and analysis</title>
<p>All 36 slides were scanned digitally using a linear whole slide scanner (Aperio ScanScope CS2, Leica, Germany) at 40x objective magnification. Raw image data were stored in Aperio SVS file format, a multi-layered compressed JPEG (further information on the image format can be found in <xref ref-type="bibr" rid="B43">Shawki et&#xa0;al. (2020)</xref>). The slide images varied in size from 0.2 to 0.4 Gb and were first viewed using Leica Aperio Imagescope digital slide viewer version 12 (Leica Biosystems, Aperio) to examine each entire slide for any potential problems that could interfere with analysis, e.g. air/dust spots, partial staining, missing xylem parts. The SVS image slides were then analyzed by a script developed in-house in Fiji image-processing software (<ext-link ext-link-type="uri" xlink:href="http://www.fiji.sc">www.fiji.sc</ext-link>, ImageJ, (<xref ref-type="bibr" rid="B37">Schindelin et&#xa0;al., 2012</xref>)). More details on the script and the image analysis methods are presented in the supplementary material (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary comment 1</bold>
</xref>). The Fiji script was run on a super-computing platform so that the SVS file could be opened as a big tiff file (approximately 20 Gigabytes each) and the whole image analyzed in smaller fragments to examine the various xylem features (which are described in the section below). The technique for distinguishing vessel lumen from the lumen of fiber and parenchyma ray, was first tested experimentally by assessing a threshold of the area, the circularity and the roundness. The proportion of tension wood (%) was measured based on the black and white method, by counting the black pixels in the monochrome images of the wood. Information about the accuracy and the reliability of numerical image analysis is presented in the supplementary material (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Comment 2</bold>
</xref>). Average vessel area &#x100; is generally reported separately for each of these ring types (<xref ref-type="bibr" rid="B56">Zanne et&#xa0;al., 2010</xref>), however, we did not separate vessels from springwood and summer wood growth rings due to the technical difficulty of distinguishing between them among different growth rings.</p>
</sec>
<sec id="s3_4_3">
<label>2.4.3</label>
<title>Histologic variables investigated</title>
<p>The variables assessed for each stem section were: the proportion (%) of xylem per stem section (xylem area was calculated by subtracting the pith area from the cross-sectional area), the proportion of tension wood (xylem black stained area divided by the xylem area), the proportion of vessels per secondary xylem, the proportion of fiber and ray cells per secondary xylem, the density of vessels per unit area (N), the density of fiber and parenchyma ray cells per unit area, the vessel to fiber density ratio (%) and the vessel to fiber area ratio.</p>
<p>Data on individual vessel lumen area from each stem section and for all sections were used to calculate average vessel lumen area (&#x3bc;m<sup>2</sup>), average vessel lumen diameter (D) (&#x3bc;m), theoretical hydraulic conductivity K<sub>h</sub> within cross section area (calculated using the modified Hagen&#x2013;Poiseuille law whereby conduit diameter corresponds to the vessel lumen diameter (D) (<xref ref-type="bibr" rid="B50">Tyree and Ewers, 1991</xref>), and theoretical specific hydraulic conductivity (K<sub>S</sub>) calculated by normalizing K<sub>h</sub> by stem section xylem area &#x2018;Xylem area&#x2019; (i.e. scaling data such that the hydraulic conductance of stem section with different area can be compared on the base of their water transport efficiency (<xref ref-type="bibr" rid="B34">Quintana-Pulido et&#xa0;al., 2018</xref>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Hydraulic parameters measured and calculated with acronyms, units, main definition.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="left">Acronyms</th>
<th valign="top" align="left">Formula</th>
<th valign="top" align="left">Units</th>
<th valign="top" align="left">Definition</th>
<th valign="top" align="left">References</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Vessel lumen area</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left"/>
<td valign="top" align="left">&#xb5;m<sup>2</sup>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Average vessel lumen area</td>
<td valign="top" align="left">&#x100;</td>
<td valign="top" align="left">
<inline-formula>
<mml:math display="inline" id="im1">
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>A</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mi>N</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="left">&#xb5;m<sup>2</sup>
</td>
<td valign="top" align="left">Average area of all stem section vessels</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Vessel lumen diameter</td>
<td valign="top" align="left">D</td>
<td valign="top" align="left">
<inline-formula>
<mml:math display="inline" id="im2">
<mml:mrow>
<mml:msqrt>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mn>4</mml:mn>
<mml:mi>A</mml:mi>
</mml:mrow>
<mml:mi>&#x3c0;</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="left">&#xb5;m</td>
<td valign="top" align="left">Vessel lumen diameter corresponding to circle with area A (vessel lumen area)</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B38">Scholz et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B34">Quintana-Pulido et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Average vessel lumen diameter</td>
<td valign="top" align="left">D&#x305;</td>
<td valign="top" align="left">
<inline-formula>
<mml:math display="inline" id="im3">
<mml:mrow>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mi>D</mml:mi>
<mml:mi>i</mml:mi>
</mml:msub>
</mml:mrow>
<mml:mi>N</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="left">&#xb5;m</td>
<td valign="top" align="left">Average vessel lumen diameter</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Vessel density</td>
<td valign="top" align="left">N</td>
<td valign="top" align="left">
<italic>N <sub>per Xylem area</sub>/Xylem area</italic>
</td>
<td valign="top" align="left">Number mm<sup>-2</sup>
</td>
<td valign="top" align="left">Density per unit area</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Theoretical hydraulic conductivity</td>
<td valign="top" align="left">K<sub>h</sub>
</td>
<td valign="top" align="left">
<inline-formula>
<mml:math display="inline" id="im4">
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
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<mml:mi>&#x3c0;</mml:mi>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>128</mml:mn>
<mml:mi>&#x3b7;</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mstyle displaystyle="true">
<mml:munderover>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:munderover>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msubsup>
<mml:mi>D</mml:mi>
<mml:mi>i</mml:mi>
<mml:mn>4</mml:mn>
</mml:msubsup>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="left">kg m Mpa<sup>-1</sup> s<sup>-1</sup>
</td>
<td valign="top" align="left">Conductance per unit pressure gradient of all the vessels within the cross section area, where <italic>&#x3c1;</italic> is the density of water (998&#xa0;kg m<sup>-3</sup>), <italic>&#x3b7;</italic> is the dynamic viscosity of the water (10<sup>-9</sup> MPa s<sup>-1</sup> at 20 &#xb0;C; D is the diameter (m) of each vessel and N is the number of vessels within the cross section area</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B50">Tyree and Ewers, 1991</xref>; <xref ref-type="bibr" rid="B49">Tombesi et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B38">Scholz et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B20">Kotowska et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B34">Quintana-Pulido et&#xa0;al., 2018</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">Specific theoretical hydraulic conductivity</td>
<td valign="top" align="left">K<sub>S</sub>
</td>
<td valign="top" align="left">
<inline-formula>
<mml:math display="inline" id="im5">
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mfrac>
<mml:mrow>
<mml:mi>&#x3c0;</mml:mi>
<mml:mi>&#x3c1;</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mn>128</mml:mn>
<mml:mi>&#x3b7;</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mstyle displaystyle="true">
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>i</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>1</mml:mn>
</mml:mrow>
<mml:mi>n</mml:mi>
</mml:msubsup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msubsup>
<mml:mi>D</mml:mi>
<mml:mi>i</mml:mi>
<mml:mn>4</mml:mn>
</mml:msubsup>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:mstyle>
</mml:mrow>
<mml:mrow>
<mml:mi>X</mml:mi>
<mml:mi>y</mml:mi>
<mml:mi>l</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>m</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>a</mml:mi>
<mml:mi>r</mml:mi>
<mml:mi>e</mml:mi>
<mml:mi>a</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</inline-formula>
</td>
<td valign="top" align="left">kg m<sup>-1</sup> Mpa<sup>-1</sup> s<sup>-1</sup>
</td>
<td valign="top" align="left">Theoretical hydraulic conductivity normalized by the stem section xylem area. It represents either a measure of stem segment porosity or measure of the &#x2018;efficiency&#x2019; of stems in conducting water</td>
<td valign="top" align="left">(<xref ref-type="bibr" rid="B8">Bucci et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B38">Scholz et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B20">Kotowska et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B34">Quintana-Pulido et&#xa0;al., 2018</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Vessel density as well as theoretical specific hydraulic conductivity K<sub>S</sub> were assessed per vessel lumen diameter class of 10 &#x3bc;m range and corresponded to a six-class group, i.e. [10-20[&#xb5;m, [20-30[&#xb5;m, [30-40[&#xb5;m, [40-50[&#xb5;m, [50-60[&#xb5;m and [60-70[&#xb5;m ([a-b[&#xb5;m i.e. a &#x2264; D&lt; b, where b is excluded from the interval set). Also calculated were the relative frequency of the density of each diameter class (in relation to the density of all the vessels), the contribution of the K<sub>S</sub> of each diameter class to the total K<sub>S</sub> (i.e. to the total conductance within all the conduits of a stem section) and the accumulated K<sub>S</sub> as a percentage of the total K<sub>S</sub>. The range class was chosen based on image analysis data which show that the smallest and the largest vessel lumen area within and among all the samples were respectively 250,015 and 2999.9 &#xb5;m<sup>2</sup> and correspond to a diameter D of 17.8 and 61.8 &#xb5;m.</p>
<p>Hydraulic parameters measured and calculated are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Additional xylem-vessel parameters calculated were the vessel lumen fraction (&#x2018;F&#x2019;), the non-lumen fraction (NF), the vessel vulnerability index (VI), the vessel composition index (S) and the mean hydraulic diameter (DH) and are presented in the supplementary material (<xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S4</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>S5</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s3_5">
<label>2.5</label>
<title>Wood composition analysis</title>
<p>Prior to compositional analysis, 5&#xa0;g of ODW milled and sieved biomass was extracted with 95% ethanol according to the NREL protocol (<xref ref-type="bibr" rid="B45">Sluiter et&#xa0;al., 2008</xref>), using a Dionex<sup>&#xae;</sup> Accelerated Solvent Extractor (ASE150) (the biomass in 33&#xa0;ml cell size at 100&#xb0; C under a pressure of 100&#xa0;bar during 3 static cycles of 5&#xa0;min for each extraction). The extracted biomass was then analyzed for structural carbohydrates and lignin in accordance with <xref ref-type="bibr" rid="B44">Sluiter et&#xa0;al. (2012)</xref>. All sugars were quantified by high-performance liquid chromatography &#x2018;HPLC&#x2019; system (Shimadzu Corporation, Kyoto, Japan) with a Bio-Rad Aminex HPX-87H column and refractive index detector. The HPLC data was corrected for the standard anhydro i.e. the contribution of water to the molecule weight of sugars between the monomer and the polysaccharide form (<xref ref-type="bibr" rid="B41">Serapiglia et&#xa0;al., 2009</xref>).</p>
</sec>
<sec id="s3_6">
<label>2.6</label>
<title>Statistics</title>
<p>Analysis of variance testing was followed by multiple comparisons of means according to Tukey&#x2019;s Honestly Significant Difference (HSD) (&#x3b1;= 0.05) using JMP statistical software version 9.0 (SAS Institute, Cary, NC), unless otherwise stated. Pearson correlations were calculated for all pairwise combinations of xylem properties and biomass composition.</p>
</sec>
</sec>
<sec id="s4" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s4_1">
<label>3.1</label>
<title>Biomass yield</title>
<p>After two years of growth, the total harvested biomass yields for the plants irrigated with the primary effluent WWD were higher than those of the least productive PW irrigated trees (but not statistically distinct for UI plants) with an annual yield per hectare of 18.3 &#xb1; 3.5, 13.1 &#xb1; 1.6 and 28.8 &#xb1; 6.3 Mg ha<sup>-1</sup> yr<sup>-1</sup> respectively for UI, PW and WWD (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;D</bold>
</xref>) [previously published results in <xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al. (2020)</xref>].</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Effects of nitrogen fertilization with primary municipal wastewater on the biomass, mechanical structure and willow wood composition. <bold>A&#x2013;C</bold>) Trees with irrigation treatments UI, PW and WWD respectively. <bold>(E&#x2013;G)</bold> Stem section from trees with irrigation treatments UI, PW and WWD respectively (scale bar = 1mm). <bold>(I&#x2013;K)</bold> 100x magnification of stem section region from trees with irrigation treatments UI, PW and WWD respectively (scale bar = 200 &#xb5;m). <bold>(M&#x2013;O)</bold> 500x magnification of stem section region from trees with irrigation treatments UI, PW and WWD respectively (scale bar = 50 &#xb5;m). <bold>(D)</bold> Above ground biomass (Mg ha<sup>-1</sup>) of irrigation treatments UI, PW and WWD respectively (previously published results in <xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al. (2020)</xref>). <bold>(H)</bold> Wood density (g cm<sup>-3</sup>) of treatments UI, PW and WWD respectively. <bold>(L)</bold> Proportion of tension wood (%) of irrigation treatments UI, PW and WWD respectively. <bold>(P)</bold> Wood proportion of glucan (%) of treatments UI, PW and WWD respectively. The results represent the average values (mean &#xb1; standard error) for each irrigation treatment. Different letters indicate significant differences according to HSD-Tukey test for the irrigation treatments (p &#x2264; 0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1087035-g001.tif"/>
</fig>
</sec>
<sec id="s4_2">
<label>3.2</label>
<title>Wood density and mechanical parameters</title>
<p>Wood density differed significantly between the different irrigation treatments, with the control UI and PW having a &gt; 18% higher specific density than WWD with respectively 0.37, 0.39 and 0.32&#xa0;g cm<sup>-3</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Xylem parameters and the vessels feature of <italic>Salix miyabeana</italic> SX67 plants under different irrigation treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" colspan="6" align="center">Wood density<break/>(g cm<sup>-3</sup>)</th>
<th valign="middle" colspan="4" align="center">Fibers + ray cells density (number mm<sup>-2</sup>)</th>
<th valign="middle" colspan="5" align="center">Proportion of fibers + ray cell per secondary xylem (area %)</th>
<th valign="middle" colspan="5" align="center">Proportion of tension wood per secondary xylem (area %)</th>
<th valign="middle" colspan="4" align="center">Average vessel lumen area (&#x100;) (&#xb5;m<sup>2</sup>)</th>
<th valign="middle" colspan="3" align="center">Average vessel lumen diameter D (&#xb5;m)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">UI</td>
<td valign="middle" colspan="2" align="center">0.37</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="left">0.01 a</td>
<td valign="middle" align="center">5695</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="left">90 a</td>
<td valign="middle" align="center">81</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.3 b</td>
<td valign="middle" colspan="2" align="center">27.6</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="center">2.4 b</td>
<td valign="middle" align="center">1112</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="center">16 a</td>
<td valign="middle" align="center">36.2</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="center">0.2 a</td>
</tr>
<tr>
<td valign="bottom" align="left">PW</td>
<td valign="middle" colspan="2" align="center">0.39</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="left">0.01 a</td>
<td valign="middle" align="center">5756</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="left">109 a</td>
<td valign="middle" align="center">81</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.4 b</td>
<td valign="middle" colspan="2" align="center">34.1</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="center">3.0 ab</td>
<td valign="middle" align="center">1083</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="center">15 a</td>
<td valign="middle" align="center">36.0</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="center">0.2 a</td>
</tr>
<tr>
<td valign="bottom" align="left">WWD</td>
<td valign="middle" colspan="2" align="center">0.32</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="left">0.01 b</td>
<td valign="middle" align="center">6243</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="left">70 a</td>
<td valign="middle" align="center">84</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.5 a</td>
<td valign="middle" colspan="2" align="center">39.8</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="center">2.0 a</td>
<td valign="middle" align="center">1064</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" align="center">18 a</td>
<td valign="middle" align="center">35.5</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="center">0.3 a</td>
</tr>
<tr>
<td valign="bottom" align="left">ANOVA <italic>p</italic> values</td>
<td valign="middle" colspan="6" align="center">0.0126*</td>
<td valign="middle" colspan="4" align="center">0.1219</td>
<td valign="middle" colspan="5" align="center">0.0013*</td>
<td valign="middle" colspan="5" align="center">0.0283*</td>
<td valign="middle" colspan="4" align="center">0.0564</td>
<td valign="middle" colspan="3" align="center">0.1143</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" colspan="6" align="center">Vessels density (N) (N mm<sup>-2</sup>)</th>
<th valign="middle" colspan="4" align="center">Theoretical sapwood area-specific hydraulic conductivity K<sub>s</sub>
<break/>(Kg. m<sup>-1</sup>. Mpa <sup>-1</sup> s<sup>-1</sup>)</th>
<th valign="middle" colspan="5" align="center">Proportion of secondary xylem per stem section (area %)</th>
<th valign="middle" colspan="5" align="center">Proportion of vessels per secondary xylem (area %)</th>
<th valign="middle" colspan="4" align="center">Vessels to fibers density ratio %</th>
<th valign="middle" colspan="3" align="center">Vessel to fiber area ratio %</th>
</tr>
<tr>
<td valign="bottom" align="left">UI</td>    <td valign="middle" colspan="2" align="center">172</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>    <td valign="middle" colspan="2" align="left">4 a</td>
<td valign="middle" align="center">10.79</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="left">0.2 a</td>
<td valign="middle" align="left">92.4</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.6 a</td>
<td valign="middle" colspan="2" align="center">19</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.3 a</td>
<td valign="middle" align="center">3.0</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.1 a</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="center">0.5 a</td>
</tr>
<tr>
<td valign="bottom" align="left">PW</td>    <td valign="middle" colspan="2" align="center">173</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>    <td valign="middle" colspan="2" align="left">3 a</td>
<td valign="middle" align="center">9.99</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="left">0.3 b</td>
<td valign="middle" align="left">94.6</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.4 a</td>
<td valign="middle" colspan="2" align="center">19</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.4 a</td>
<td valign="middle" align="center">3.0</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.1 a</td>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="center">0.6 a</td>
</tr>
<tr>
<td valign="bottom" align="left">WWD</td>    <td valign="middle" colspan="2" align="center">152</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>    <td valign="middle" colspan="2" align="left">4 b</td>
<td valign="middle" align="center">8.85</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="left">0.4 c</td>
<td valign="middle" align="left">95.8</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.6 a</td>
<td valign="middle" colspan="2" align="center">16</td>
<td valign="middle" colspan="2" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.5 b</td>
<td valign="middle" align="center">2.4</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" colspan="2" align="center">0.1 b</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="center">0.8 b</td>
</tr>
<tr>
<td valign="bottom" align="left">ANOVA <italic>p</italic> values</td>
<td valign="middle" colspan="6" align="center">0.0021*</td>
<td valign="middle" colspan="4" align="center">&lt;.0001*</td>
<td valign="middle" colspan="5" align="center">0.0808</td>
<td valign="middle" colspan="5" align="center">0.0013*</td>
<td valign="middle" colspan="4" align="center">0.0033*</td>
<td valign="middle" colspan="3" align="left">0.0003*</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The results represent the average values (mean &#xb1; standard error) for each irrigation treatment. For each variable, different letters indicate significant differences according to HSD-Tukey test for the irrigation treatments (p &#x2264; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Although the density of fiber and ray cells did not vary significantly between UI, PW and WWD plants (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>), the proportion of fiber per secondary xylem area was higher in WWD plants compared to UI and PW plants, with respectively 84, 81 and 81% while vessel to fiber area and density ratio were significantly lower for PW plants in comparison to UI (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>Under all irrigation treatments, wood reacted with both dyes. A higher proportion of the wood of the wastewater irrigated plants reacted more intensely with the Chlorazol black, resulting in a larger black staining region than the other treatments, especially the UI (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1E&#x2013;G</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>I&#x2013;K</bold>
</xref>). Visual observations showed that for all treatments, regions of the stem section displayed the presence of an additional layer in the inner part of the wall of some fiber cells (more pronounced for WWD), contributing to their thickness (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1M&#x2013;O</bold>
</xref>). Analysis of the proportion of wood presenting such formation (recognized as tension wood), showed a significant difference between irrigation treatments, especially between the UI control and the WWD plants, with the proportion respectively of 27.6, 34.1 and 39.8 % for UI, PW and WWD (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1L</bold>
</xref>).</p>
</sec>
<sec id="s4_3">
<label>3.3</label>
<title>Stem hydraulic parameters</title>
<p>The average vessel lumen area did not vary significantly between treatments, measuring 1112, 1083 and 1064 &#xb5;m<sup>2</sup> respectively for UI, PW and WWD, nor did average vessel lumen diameter with quite similar values, i.e. 36.2, 36 and 35.5 &#xb5;m (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Total vessel density (N mm<sup>-2</sup>) did differ between treatments, with WWD showing lower density than those of UI and PW with respectively 152, 172 and 173 vessels mm<sup>-2</sup>. As a result, the total theoretical specific hydraulic conductivity K<sub>S</sub> (per stem section) did vary significantly between treatments, with UI the highest, PW intermediate and WWD significantly much lower with respectively 10.79, 9.99 and 8.85 Kg. m<sup>-1</sup> Mpa<sup>-1</sup> s<sup>-1</sup>.</p>
<p>For all treatments, vessel density per vessel lumen diameter range varied between the different diameter classes, i.e. 10-20, 20-30, 30-40, 40-50, 50-60 and 60-70 &#xb5;m and showed a unimodal distribution, with class diameters 30-40 &#xb5;m showing the highest density (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref> in the supplementary material). Similarly, K<sub>S</sub> per vessel diameter range varied between the different diameter classes, with the highest K<sub>S</sub> value for classes 30-40 &#xb5;m, 40-50 &#xb5;m and 50-60 &#xb5;m (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S7</bold>
</xref> in the supplementary material).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Average vessel density (N mm<sup>-2</sup>) per vessel lumen diameter class, <bold>(B)</bold> the theoretical sapwood area-specific hydraulic conductivity KS (Kg m<sup>-1</sup> pa<sup>-1</sup> s<sup>-1</sup>) per vessel lumen diameter class, <bold>(C)</bold> the distributions of vessel diameters and their contribution to total hydraulic conductivity i.e. total K<sub>S</sub> ( the histograms indicate vessel frequency per vessel diameter class and the lines indicate the contribution of each vessel lumen diameter class to total hydraulic conductivity K<sub>S</sub>), <bold>(D)</bold> the cumulated theoretical sapwood area-specific hydraulic conductivity KS (Kg m<sup>-1</sup> pa<sup>-1</sup> s<sup>-1</sup>) per vessel lumen diameter class . Results represent the average values (mean &#xb1; standard error) for each irrigation treatment. Different letters in the same column group indicate significant differences according to HSD-Tukey test for the irrigation treatments (p&#x2264;0.05).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1087035-g002.tif"/>
</fig>
<p>The frequency of vessel density per lumen diameter varied between the different classes, with the highest contribution to total vessel density for the group 30-40 &#xb5;m, with respectively 34.7, 39.4 and 37.6% for UI, PW and WWD. Compared to PW and WWD, UI values for the 30-40 &#xb5;m was significantly different. The groups 20-30 &#xb5;m and 40-50 &#xb5;m, which showed quite similar density frequencies, also contributed greatly to the total vessel density with 22.8, 21.4 and 25.0% respectively for UI, PW and WWD for the former group and 26.5, 27.5 and 22.7% for the latter group (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> and <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). For K<sub>S</sub>, the highest contribution was from the group 40-50 &#xb5;m, with respectively 41.2, 45.1 and 38.1% for UI, PW and WWD (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Vessel density frequency per vessel lumen diameter (D) range, i.e. the proportion of the density of each vessel class group per the density of all the vessels.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Treatment</th>
<th valign="middle" colspan="25" align="center">The proportion (%) of vessels with diameter D, where a &#xb5;m&lt; D&lt;= b &#xb5;m</th>
</tr>
<tr>
<th valign="middle" colspan="4" align="center">10 &#x2264; D&lt; 20</th>
<th valign="middle" colspan="4" align="center">20 &#x2264; D&lt;30</th>
<th valign="middle" colspan="4" align="center">30 &#x2264; D&lt; 40</th>
<th valign="middle" colspan="4" align="center">40 &#x2264; D&lt; 50</th>
<th valign="middle" colspan="4" align="center">50 &#x2264; D&lt; 60</th>
<th valign="middle" colspan="4" align="center">60 &#x2264; D&lt; 70</th>
<th valign="middle" align="center">10 &#x2264; D&lt;70<break/>All vessels</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">UI</td>
<td valign="middle" align="center">6.1</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.5</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">22.8</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.6</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">34.7</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.9</td>
<td valign="middle" align="left">b</td>
<td valign="middle" align="center">26.5</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">1.2</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">9.5</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">1.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">0.5</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">100%</td>
</tr>
<tr>
<td valign="bottom" align="left">PW</td>
<td valign="middle" align="center">5.1</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.2</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">21.4</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.8</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">39.4</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.7</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">27.5</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.7</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">6.3</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.6</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">0.2</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.0</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">100%</td>
</tr>
<tr>
<td valign="bottom" align="left">WWD</td>
<td valign="middle" align="center">5.8</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.4</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">25.0</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">1.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">37.6</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.9</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">22.7</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">1.5</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">8.4</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.6</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">0.4</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">100%</td>
</tr>
<tr>
<td valign="bottom" align="left">ANOVA <italic>p</italic> values</td>
<td valign="middle" colspan="4" align="center">0.1830</td>
<td valign="middle" colspan="4" align="center">0.1111</td>
<td valign="middle" colspan="4" align="center">0.0051*</td>
<td valign="middle" colspan="4" align="center">0.3453</td>
<td valign="middle" colspan="4" align="center">0.0771</td>
<td valign="middle" colspan="4" align="center">0.3462</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results represent the average values (mean &#xb1; standard error) for each irrigation treatment. Different letters in the same diameter class group indicate significant differences according to HSD-Tukey test for the irrigation treatments (p &#x2264; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The ratio of the theoretical sapwood area-specific hydraulic conductivity KS (Kg m-1 pa -1 s-1) per vessel lumen diameter (D) range, i.e. the proportion of the KS of a given diameter class group to the total KS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Treatment</th>
<th valign="middle" colspan="25" align="center">The proportion (%) of the theoretical sapwood area-specific hydraulic conductivity Ks per vessel<break/>lumen diameter (D) range, where a &#xb5;m&lt; D&lt;= b &#xb5;m</th>
</tr>
<tr>
<th valign="middle" colspan="4" align="center">10 &#x2264; D&lt; 20</th>
<th valign="middle" colspan="4" align="center">20 &#x2264; D&lt;30</th>
<th valign="middle" colspan="4" align="center">30 &#x2264; D&lt; 40</th>
<th valign="middle" colspan="4" align="center">40 &#x2264; D&lt; 50</th>
<th valign="middle" colspan="4" align="center">50 &#x2264; D&lt; 60</th>
<th valign="middle" colspan="4" align="center">60 &#x2264; D&lt; 70</th>
<th valign="middle" align="center">10 &#x2264; D&lt;70<break/>All vessels</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">UI</td>
<td valign="middle" align="center">0.3</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.02</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">3.9</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.2</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">22.0</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.2</td>
<td valign="middle" align="left">b</td>
<td valign="middle" align="center">41.2</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">2.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">30.2</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">2.8</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">2.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.5</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">100</td>
</tr>
<tr>
<td valign="bottom" align="left">PW</td>
<td valign="middle" align="center">0.3</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.01</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">4.1</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.2</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">27.6</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">45.1</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.8</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">21.7</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">1.6</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">1.2</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.2</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">100</td>
</tr>
<tr>
<td valign="bottom" align="left">WWD</td>
<td valign="middle" align="center">0.3</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.02</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">4.9</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">0.4</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">24.8</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.0</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">38.1</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">2.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">29.6</td>
<td valign="middle" align="center">&#xb1;</td>
<td valign="middle" align="left">2.0</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">2.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.4</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">100</td>
</tr>
<tr>
<td valign="bottom" align="left">ANOVA <italic>p</italic> values</td>
<td valign="middle" colspan="4" align="center">0.3397</td>
<td valign="middle" colspan="4" align="center">0.0903</td>
<td valign="middle" colspan="4" align="center">0.0044*</td>
<td valign="middle" colspan="4" align="center">0.3717</td>
<td valign="middle" colspan="4" align="center">0.1047</td>
<td valign="middle" colspan="4" align="center">0.3523</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results represent the average values (mean &#xb1; standard error) for each irrigation treatment. Different letters in the same diameter class group indicate significant differences according to HSD-Tukey test for the irrigation treatments (p &#x2264; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4_4">
<label>3.4</label>
<title>Wood composition analysis</title>
<p>The extractives content did vary significantly between the different irrigation treatments, with the content of WWD plants, 6.8%, noticeably lower than the content of UI and PW biomass, i.e. 10.5 and 10.7% (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Wood composition analysis of <italic>Salix miyabeana</italic> SX67 plants under different irrigation treatments.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" colspan="3" align="center">Glucan</th>
<th valign="middle" colspan="4" align="center">Xylan</th>
<th valign="middle" colspan="4" align="center">Galactan</th>
<th valign="middle" colspan="4" align="center">Arabinan</th>
<th valign="middle" colspan="4" align="center">Mannan</th>
<th valign="middle" colspan="4" align="center">Hemicellulose</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">UI</td>
<td valign="middle" align="center">33.9</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.2 b</td>
<td valign="middle" colspan="2" align="center">11.9</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.5 a</td>
<td valign="middle" align="center">1.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.06</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">1.2</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">ab</td>
<td valign="middle" align="center">1.7</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">16.1</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.6</td>
<td valign="middle" align="left">a</td>
</tr>
<tr>
<td valign="bottom" align="left">PW</td>
<td valign="middle" align="center">36.2</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.7 ab</td>
<td valign="middle" colspan="2" align="center">12.6</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.2 a</td>
<td valign="middle" align="center">1.4</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.03</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">1.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">2.0</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">17.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
</tr>
<tr>
<td valign="bottom" align="left">WWD</td>
<td valign="middle" align="center">39.5</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.1 a</td>
<td valign="middle" colspan="2" align="center">13.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.5 a</td>
<td valign="middle" align="center">1.3</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.05</td>
<td valign="bottom" align="left">a</td>
<td valign="middle" align="center">1.0</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">b</td>
<td valign="middle" align="center">2.0</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">17.7</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.6</td>
<td valign="middle" align="left">a</td>
</tr>
<tr>
<td valign="bottom" align="left">ANOVA <italic>p</italic> values</td>
<td valign="middle" colspan="3" align="center">0.0237*</td>
<td valign="middle" colspan="4" align="center">0.2900</td>
<td valign="middle" colspan="4" align="center">0.2669</td>
<td valign="middle" colspan="4" align="center">0.0482*</td>
<td valign="middle" colspan="4" align="center">0.0789</td>
<td valign="middle" colspan="4" align="center">0.2368</td>
</tr>
</tbody>
<tbody>
<tr>
<th valign="middle" align="left">Treatment</th>
<th valign="middle" colspan="3" align="center">Total Sugars</th>
<th valign="middle" colspan="4" align="center">ASL</th>
<th valign="middle" colspan="4" align="center">AIL</th>
<th valign="middle" colspan="4" align="center">Total Lignins</th>
<th valign="middle" colspan="4" align="center">Extractives</th>
<th valign="middle" colspan="4" align="center">Mass closure</th>
</tr>
<tr>
<td valign="bottom" align="left">UI</td>
<td valign="middle" align="center">50.0</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.8 b</td>
<td valign="middle" align="center">5.2</td>
<td valign="bottom" colspan="2" align="left">&#xb1;</td>
<td valign="middle" align="left">0.05 a</td>
<td valign="middle" align="center">22.5</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">27.7</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">10.5</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">88.2</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.7</td>
<td valign="middle" align="left">a</td>
</tr>
<tr>
<td valign="bottom" align="left">PW</td>
<td valign="middle" align="center">53.6</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.0 ab</td>
<td valign="middle" align="center">5.1</td>
<td valign="bottom" colspan="2" align="left">&#xb1;</td>
<td valign="middle" align="left">0.07 a</td>
<td valign="middle" align="center">22.1</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">27.1</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">10.7</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">91.4</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.0</td>
<td valign="middle" align="left">a</td>
</tr>
<tr>
<td valign="bottom" align="left">WWD</td>
<td valign="middle" align="center">57.2</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.6 a</td>
<td valign="middle" align="center">5.3</td>
<td valign="bottom" colspan="2" align="left">&#xb1;</td>
<td valign="middle" align="left">0.06 a</td>
<td valign="middle" align="center">22.8</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">28.1</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.3</td>
<td valign="middle" align="left">a</td>
<td valign="middle" align="center">6.8</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">0.2</td>
<td valign="middle" align="left">b</td>
<td valign="middle" align="center">92.1</td>
<td valign="bottom" align="left">&#xb1;</td>
<td valign="middle" align="left">1.5</td>
<td valign="middle" align="left">a</td>
</tr>
<tr>
<td valign="bottom" align="left">ANOVA <italic>p</italic> values</td>
<td valign="middle" colspan="3" align="center">0.0554</td>
<td valign="middle" colspan="4" align="center">0.2268</td>
<td valign="middle" colspan="4" align="center">0.2591</td>
<td valign="middle" colspan="4" align="center">0.2207</td>
<td valign="middle" colspan="4" align="center">0.0012*</td>
<td valign="middle" colspan="4" align="center">0.2206</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results represent the average values (mean &#xb1; standard error) for each irrigation treatment. Different letters in the same column group indicate significant differences according to HSD-Tukey test for the irrigation treatments (p &#x2264; 0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Total lignin content as well as its acid soluble and acid insoluble fractions, i.e. &#x2018;&#x2018;ASL&#x2019;&#x2019; and &#x2018;&#x2018;AIL&#x2019;&#x2019;, were statistically similar within the different irrigation treatments, with respectively 27.7, 27.1 and 28.1% for total lignin of WWD, UI and PW, 5.2, 5.1 and 5.3% for acid-soluble lignin and 22.5, 22.1 and 22.8% for acid insoluble lignin (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<p>The cellulose content of glucose differed significantly between UI, PW and WWD, with respectively 33.9, 36.2 and 39.5% (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). Hemicellulose content did not differ between treatments UI, PW and WWD and was respectively 16.1, 17.3 and 17.7%. The content of the different hemicellulose sugar monomer components did not vary between treatments, although a statically significant difference in arabinose content between the NW and the WWD biomass was detected. Respectively, for UI, PW and WWD, the content of different monomers was 11.9, 12.6 and 13.3% for xylose, 1.3, 1.4 and 1.3% for galactose, 1.2, 1.3 and 1% for arabinose and 1.7, 2 and 2% for mannose (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s5" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>We investigated the effect of treatment of a willow plantation with primary wastewater on wood properties and composition, revealing complex cell wall and stem hydraulic architecture alterations only partially similar to the well documented effects induced by high nitrogen fertilization.</p>
<sec id="s5_1">
<label>4.1</label>
<title>Biomass yield</title>
<p>Fertigation with primary wastewater effluent containing high concentrations of nitrogen significantly increased above ground biomass by 120% on average compared to the PW-irrigated plants. The 57% biomass increase compared the control UI was not significant (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>) (previously published results in <xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al. (2020)</xref>). Similar growth conditions may have impacted plant growth as it was observed in young <italic>Salix nigra</italic> plants (<xref ref-type="bibr" rid="B27">Pezeshki et&#xa0;al., 1998</xref>), another flood tolerant willow species. In previous trials using the same plantation (<xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Jerbi et&#xa0;al., 2015</xref>), irrigation with different loads of secondary treated wastewater effluent (compared to the primary tested here) also led to an increase in biomass production over two years of growth. The maximum yield of 18.2 Mg ha<sup>-1</sup> yr<sup>-1</sup> then recorded (<xref ref-type="bibr" rid="B12">Guidi Nissim et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Jerbi et&#xa0;al., 2015</xref>) signifies 63.2% less production of biomass compared to the present study [28.8 Mg ha<sup>-1</sup> yr<sup>-1</sup> over a season of growth (<xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al., 2020</xref>)]. No such difference between the two trials was observed on control trees than were supplement with potable water only. Such difference in the yield of fertigated plants is likely due to the higher difference in the nitrogen loads within the two trials. Thus, depending on the nature (i.e. treated or untreated municipal or industrial), wastewater load and composition (nutrient content, EC, pH) the effect of fertigation on wood biomass may lead to drastic differences in terms of yield, xylem tissue structure and wood chemical composition (<xref ref-type="bibr" rid="B30">Pitre et&#xa0;al., 2007b</xref>) and therefore broaden the opportunities for the bioproduct sector.</p>
</sec>
<sec id="s5_2">
<label>4.2</label>
<title>Wood density and mechanical parameters</title>
<p>Ranging from 0.32 to 0.39&#xa0;g cm<sup>-3</sup> (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1H</bold>
</xref>), wood density was slightly lower in the present study than what was reported by <xref ref-type="bibr" rid="B48">Tharakan et&#xa0;al. (2003)</xref> for a group of 30 non-fertilized willow varieties (0.36 to 0.48&#xa0;g cm<sup>&#x2013;3</sup>). This was especially true for WWD plants as could be expected as a result of N fertilization (<xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B9">Curran et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>).</p>
<p>Although we did not investigate fiber-cells, the low wood density of WWD plants compared to UI and PW suggests a likely alteration of fiber properties (<xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B53">Watanabe et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B56">Zanne et&#xa0;al., 2010</xref>). Indeed, wood density is related to the morphology of the cells within the secondary xylem tissue i.e. the vessels, the ray parenchyma and the fibers (<xref ref-type="bibr" rid="B33">Poorter et&#xa0;al., 2010</xref>) with the latter having the thickest cell walls and thus contributing the most. High N fertilization was reported to reduce wood density by both increasing fiber lumen and decreasing fiber cell wall thickness (<xref ref-type="bibr" rid="B23">Luo et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B29">Pitre et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B33">Poorter et&#xa0;al., 2010</xref>). Thus, besides its consequence on vessel to fiber area and density ratio, irrigation with primary wastewater may have induced such alteration of fiber cells that renders the stems more flexible to leaning under gravitation and wind circumstances (compare <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A&#x2013;C</bold>
</xref>) and consequently more susceptible to the formation of tension wood. Indeed, similarly to the morphological alteration described by <xref ref-type="bibr" rid="B28">Pitre et&#xa0;al. (2007a)</xref> and <xref ref-type="bibr" rid="B29">Pitre et&#xa0;al. (2010)</xref> following N addition in poplar trees, we also observed stronger cellulose staining in the inner part of cell wall fibers of stem section of primary wastewater irrigated trees (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1M&#x2013;O</bold>
</xref>), hence likely suggesting an increase of tension wood proportion within less rigid WWD treated plants.</p>
</sec>
<sec id="s5_3">
<label>4.3</label>
<title>Stem hydraulic parameters</title>
<p>Contrary to what was first hypothesized, no difference was observed between the different irrigation treatments regarding the average vessel diameter (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) even if it should be impacted by soil water status (<xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B31">Plavcov&#xe1; and Hacke, 2012</xref>) and/or increased because of nitrogen fertilization (<xref ref-type="bibr" rid="B8">Bucci et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B15">Hacke et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>) and thus reflected by major changes of the theoretical specific conductance K<sub>S</sub> (<xref ref-type="bibr" rid="B16">Hacke et&#xa0;al., 2017</xref>).</p>
<p>The control UI plants did not receive water other from precipitation (about 1200&#xa0;mm over the two-year trial) but showed similar hydraulic parameters (i.e. average vessel diameter and K<sub>S</sub>) as those of PW (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) which received high loads of potable water i.e. 3687&#xa0;mm over the same period (<xref ref-type="bibr" rid="B18">Jerbi et&#xa0;al., 2020</xref>). Because water scarcity causes xylem to exhibit narrower but more frequent vessels, this may suggest that the water was not the limiting factor for willow growth and development as both treatments UI and PW showed very similar physiological parameters as well as comparable hydraulic parameters (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In fact, the region where the experiment was set up is considered as a humid continental climate with generally high precipitation that may be more advantageous for a hydraulic architecture granting efficiency of water conductance (widest vessel lumen with less resistance) rather than to a &#x2018;safe&#x2019; architecture to avoid cavitation and embolism caused by a drought that is unlikely to occur (<xref ref-type="bibr" rid="B20">Kotowska et&#xa0;al., 2015</xref>).</p>
<p>Intriguingly, the hydraulic conductance K<sub>S</sub> was significantly lower for WWD plants than PW and UI (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) albeit various studies reported that high N fertilization increased the production of vessels with larger lumen (<xref ref-type="bibr" rid="B17">Harvey and van den Driessche, 1999</xref>; <xref ref-type="bibr" rid="B14">Hacke et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B16">Hacke et&#xa0;al., 2017</xref>). However, for most of the diameter classes, the density of vessels was lower for WWD fertilized plants than UI and PW, especially for the groups 30-40 &#xb5;m and 40-50 &#xb5;m (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref> in the supplementary material). These results could be somewhat explained by the sampling strategy we used. In an effort to compare stems at equivalent developmental stages (wood that already transitioned to secondary growth before the irrigation began), samples were harvested at different heights for each treatment even though stem conducts widen basipetally and that vessel lumen diameter increases axially from the top canopy towards the roots (<xref ref-type="bibr" rid="B22">Larson and Isebrands, 1971</xref>; <xref ref-type="bibr" rid="B2">Anfodillo et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B16">Hacke et&#xa0;al., 2017</xref>).</p>
<p>Regardless fertigation regime, the majority of vessels were found in the diameter groups 20-30 &#xb5;m, 30-40 &#xb5;m and 40-50 &#xb5;m which represented ~ 86% of the total vessel and contributed to ~ 68% of the hydraulic conductance K<sub>S</sub> (<xref ref-type="table" rid="T3">
<bold>Tables&#xa0;3</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>4</bold>
</xref>). This results is as expected for shrub species; with a higher proportion of narrow vessels than trees, i.e. &#x2264; 50 &#xb5;m and practically no wide vessels i.e. &gt; 200 &#xb5;m (<xref ref-type="bibr" rid="B54">Wheeler et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B2">Anfodillo et&#xa0;al., 2013</xref>).</p>
</sec>
<sec id="s5_4">
<label>4.4</label>
<title>Wood composition analysis</title>
<p>Difference between WWD plants from one hand and UI and PW from the other shows that fertigation with N-rich wastewater decreased the extractives content of WWD biomass (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). It is known that for a given species the composition of extractives is affected by growth conditions (<xref ref-type="bibr" rid="B55">Yang and Jaakkola, 2011</xref>). Fast-growing shrubs such as willows are generally associated with low bark to wood ratio. Because most of the extractives are generally located in the bark (<xref ref-type="bibr" rid="B36">Sassner et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B41">Serapiglia et&#xa0;al., 2009</xref>) such difference is likely to be associated with the higher growth rate of WWD plants and their lower bark content.</p>
<p>Several studies on willow cultivars have reported a compensatory relationship between cellulose and lignin synthesis (<xref ref-type="bibr" rid="B13">Guidi et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B41">Serapiglia et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Ray et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B42">Serapiglia et&#xa0;al., 2013b</xref>). Although, WWD induced an increase of glucan content, lignin was similar between all treatments (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>) and rather coherent to what was reported for other willow cultivars (<xref ref-type="bibr" rid="B41">Serapiglia et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Ray et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B39">Serapiglia et&#xa0;al., 2013a</xref>). Furthermore, in a study comparing several willow genotypes grown at 45 degrees to induce the formation of reaction wood, <xref ref-type="bibr" rid="B7">Brereton et&#xa0;al. (2012)</xref> also reported that glucan content did increase for plants with the most reaction wood fraction while lignin remained unchanged. Hence, the similarity between the different irrigation treatment for total lignin may suggest that irrigation with primary wastewater and/or with potable water did not affect much lignin synthesis and deposition during secondary cell wall formation (i.e. lignification phase).</p>
<p>Alike, cellulose content (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1P</bold>
</xref>) was similar to what was reported for the same cultivar as well as for other genotypes (<xref ref-type="bibr" rid="B36">Sassner et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B40">Serapiglia et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B41">Serapiglia et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B35">Ray et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B42">Serapiglia et&#xa0;al., 2013b</xref>). The glucan content did differ between UI, PW and WWD with the higher content for plants that received wastewater (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> and <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1P</bold>
</xref>). High nitrogen application was previously reported to impact the development of secondary xylem of various poplar genotypes mostly by altering fiber anatomy through the deposition of an additional layer with high cellulose content in the inner part of the fiber cell lumen i.e. the G-layer (<xref ref-type="bibr" rid="B28">Pitre et&#xa0;al., 2007a</xref>; <xref ref-type="bibr" rid="B30">Pitre et&#xa0;al., 2007b</xref>; <xref ref-type="bibr" rid="B29">Pitre et&#xa0;al., 2010</xref>). Although quantitatively assaying tension wood is difficult (<xref ref-type="bibr" rid="B6">Brereton et&#xa0;al., 2011</xref>), the strong correlation (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, r<sup>2</sup> = 0.59, p = 0.0001) between glucan content (biochemical analysis) and the proportion of tension wood (based on numerical image analysis) suggests that the increase of cellulose content is likely due to the increase of the proportion of tension wood in the case of WWD treated plants.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Linear regression between the tension wood proportion and the biomass glucan proportion of the cultivar <italic>Salix miyabeana</italic> SX67. Black, blue and brown dots refers respectively to the data of UI, PW and WWD treatments.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpls-14-1087035-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s6" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Our findings reveal that irrigation of willows with primary wastewater having high nitrogen load during two seasons of growth significantly altered wood chemical composition as well as cell wall structure. While fertigation increased the glucan content and the proportion of tension wood, it also resulted in the production of less dense wood with a significantly lower extractives fraction. This result may be of interest in the context of biofuel production and phytofiltration of municipal wastewater by SRWC. Consequently, it could provide the biofuel market with large amount of low cost-production raw material (i.e. biomass) with an increased content of glucan of higher energetic value for the conversion process (more biofuel produced per unit of biomass invested).</p>
</sec>
<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>Conceptualization, AJ, SB, FP, and ML; Methodology, AJ, KL, and P-PG; Analysis, AJ and JL; Writing &#x2013; original draft preparation, AJ; Writing &#x2013; review and editing, AJ, JL, FP, and ML; Project administration, FP and ML. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was financially supported by grant by NSERC Strategic Project Grant (STPGP-506680-17), NSERC CRD Grant (RDCPJ476673-14), NSERC Discovery Grant (FEP RGPIN-2017-05452), National Research Canada Forest Innovation Program Grant (CWFC1718-018 and CWFC1920-104) and NRCan Opportunity Fund (3000660151).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the municipality of Saint-Roch-de-l&#x2019;Achigan for their kind support of this project. A special thank you is extended to Mike Kalwahali Muissa for his assistance in processing samples.</p>
</ack>
<sec id="s10" 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="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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