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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JAR</journal-id>
      <journal-title-group>
        <journal-title>Journal of Agronomy Research</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2639-3166</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JAR-19-3116</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2639-3166.jar-19-3116</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article </subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Sunspots are Correlated with Foliar pH in Grapevines </article-title>
        <alt-title alt-title-type="running-head">sunspots vs. foliar ph jar 2639-3166</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Giorgio</surname>
            <given-names>Masoero</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842757084">1</xref>
          <xref ref-type="aff" rid="idm1842847868">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Alberto</surname>
            <given-names>Cugnetto</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842757084">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Giuseppe</surname>
            <given-names>Sarasso</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842757084">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Giusto</surname>
            <given-names>Giovannetti</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842758812">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Marco</surname>
            <given-names>Nuti</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842757588">3</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842757084">
        <label>1</label>
        <addr-line>Accademia di Agricoltura di Torino, Italy</addr-line>
      </aff>
      <aff id="idm1842758812">
        <label>2</label>
        <addr-line>Centro Colture Sperimentali - Aosta, Italy</addr-line>
      </aff>
      <aff id="idm1842757588">
        <label>3</label>
        <addr-line>Scuola Superiore di Studi Universitari Sant'Anna, Pisa, Italy</addr-line>
      </aff>
      <aff id="idm1842847868">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Abubaker</surname>
            <given-names>Haroun Mohamed Adam</given-names>
          </name>
          <xref ref-type="aff" rid="idm1842605260">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1842605260">
        <label>1</label>
        <addr-line>Department of Crop Science (Agronomy), College of Agriculture, Bahri University- Alkadaru- Khartoum -Sudan, Sudan.</addr-line>
      </aff>
      <author-notes>
        <corresp>Giorgio Masoero Accademia di Agricoltura di Torino, Via A. Doria 10, 10123 Torino, Italy <email>giorgioxmasoero@gmail.com</email></corresp>
        <fn fn-type="conflict" id="idm1841946684">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2019-12-21">
        <day>21</day>
        <month>12</month>
        <year>2019</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <fpage>31</fpage>
      <lpage>41</lpage>
      <history>
        <date date-type="received">
          <day>05</day>
          <month>12</month>
          <year>2019</year>
        </date>
        <date date-type="accepted">
          <day>18</day>
          <month>12</month>
          <year>2019</year>
        </date>
        <date date-type="online">
          <day>21</day>
          <month>12</month>
          <year>2019</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2019</copyright-year>
        <copyright-holder>Giorgio Masoero, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org//jar/article/1227">This article is available from http://openaccesspub.org//jar/article/1227</self-uri>
      <abstract>
        <p>Foliar pH is a specific multifaceted parameter that is sensitive to a deficit in soil water and to temperature variations. It also represents a tool that can be used to rapidly phenotype the symbiosis induced in several crops by bio-fertilizers containing Arbuscular Mycorrhizal Fungi.  Yearly decreases in foliar pH, which dropped from 3.73 in 2015 to 3.15 in 2017 and then stabilized at around 3.13, have been observed in an experimental vineyard near Torino (Italy) in six grapevine cultivars.  In this paper, these curious, original results have been paired with the average sunspots of the 24<sup>th</sup> sun cycle, proximal to its endpoint. The paired values were highly correlated (r 0.95 P&lt; 0.01), with close parabolic patterns. A lowering in foliar pH has been correlated with a modification of the leaf composition, as characterized by the higher hydration and reinforced wall. An increase in the circulating acidity of the plants has been hypothesized to interfere in a diminution in the general predisposition to block parasite attacks. From this perspective, the retrieval of several historic outbreaks and the long-term systematic monitoring of mud and <italic>Erwinia </italic><italic>amylovora</italic> frequencies have suggested that the hypothesis that links the solar minima with dysfunctions of the plant-pest relationships cannot always be rejected. Cosmic influences pertaining to UV variations are poorly understood in plant physiopathology.  Foliar pH appears to be a rapid and simple tool to unveil high-level mechanisms. It is this simple parameter that physiologists and geneticists, but also agronomists, are asked to consider.</p>
      </abstract>
      <kwd-group>
        <kwd>Foliar pH</kwd>
        <kwd> grapevine</kwd>
        <kwd> sunspots</kwd>
        <kwd>wall composition</kwd>
        <kwd>leaf hydration</kwd>
        <kwd>NIRS</kwd>
        <kwd>stress outbreak correlation</kwd>
        <kwd>phenotyping</kwd>
        <kwd>climate change.</kwd>
      </kwd-group>
      <counts>
        <fig-count count="5"/>
        <table-count count="4"/>
        <page-count count="11"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1842602164" sec-type="intro">
      <title>Introduction</title>
      <p>The monthly average of the sunspot (S) numbers oscillates around a cycle, called the “solar cycle”, which was decoded in 1843 by Heinrich Schwabe. Sunspots arise quickly and fall more slowly over an irregular cycle that lasts about 11 years. These cycles have been numbered since 1750. Currently, the 24<sup>th</sup> cycle is unfolding, from the minimum (1 S) in December 2008, passing through the cyclic maximum, which occurred in February 2014 (146.1 S), towards the next minimum which will possibly occur around 2020, since a value of zero was measured in November 2019.</p>
      <p>In 1801, Herschel <xref ref-type="bibr" rid="ridm1850769244">1</xref> called attention to an apparent relationship between sunspot activity and the price of wheat, a parameter that was considered as a gold standard for economists. The theory was then invalidated after Love’s <xref ref-type="bibr" rid="ridm1850763556">2</xref> (2013) overall mathematical recalculation.  However, Gorbanev <xref ref-type="bibr" rid="ridm1850775340">3</xref>(2015) revisited evidence on the influence of solar activity on the economy, and examined whether economic recessions occurred more often in the years around and after solar maxima. Quite surprisingly, his results suggested that the hypothesis linking solar maxima and recessions was well founded, as a result of his  data, and should not  be rejected. From a purely agricultural viewpoint,                      the maxima have been correlated with yield                  benefits <xref ref-type="bibr" rid="ridm1850870580">4</xref><xref ref-type="bibr" rid="ridm1850623988">5</xref>, while the minima have been correlated with  lower  productivity, and sporadically with highly detrimental events, which we consider hereafter.</p>
      <p>Foliar pH is a new plant trait, which has been explored by Cornelissen’s <xref ref-type="bibr" rid="ridm1850628092">6</xref> team in  92 species. In a previous work <xref ref-type="bibr" rid="ridm1850616820">7</xref>,  we observed a more acidic nature in 49 cultivated species and experimentally proved that the foliar pH depends on  the water condition, on  the temperature and on the symbiotic relationships with arbuscular mycorrhizal fungi. Moreover, foliar pH variations have been linked  to different leaf compositions in <italic>Sorghum </italic><xref ref-type="bibr" rid="ridm1850613292">8</xref>. There are, to the best of our knowledge, no data on the influence of sunspot activity on soil or plant symbiotic microorganisms. </p>
      <sec id="idm1842600436">
        <title>Experimental Procedure</title>
        <p>Foliar pH was monitored over a five-year period to ascertain whether and how a significant trend could be detected  in grapevines. When the results showed a diminutive parabolic pattern, we were astonished and searched for  an explanation. We then paired our observations on the field with sunspots, and something began to become clear. Moreover, NIR-SCiO spectra, coupled with pH measurements, allowed  us to decipher the correlated  changes in the gross composition of the leaves.  Finally, a retrospection of historic outbreaks, paired with the sunspots, corroborated by bibliographic results, began to open new scenarios.</p>
      </sec>
    </sec>
    <sec id="idm1842600724" sec-type="materials">
      <title>Materials and Methods</title>
      <p>The sunspot files were downloaded from the WDC-SILSO site of the Royal Observatory of Belgium, Brussels <xref ref-type="bibr" rid="ridm1850601956">9</xref>.</p>
      <p>From 2015 to 2019, six adult vines, grown at the DISAFA experimental center (45°03'58.6"N 7°35'23.8"E), were observed on a sunny day in the middle of July. Fifteen leaves were sampled from the same 15 plants. They were then  transported to a laboratory for  pH analysis and NIR-SCiO Tomoscopy. The foliar pH of these leaves was measured with a  BORMAC “XS pH 70” pH meter, 0÷14 pH range, two decimals, provided with a Hamilton Peek Double-Pore F, / Knick combined        plastic-glass electrode, dimensions (LxØ) mm 35×6, terminating with a very small and sensitive tip sensor; other types were found to be unstable and unreliable. The insertion of the tip into the petiole was facilitated using a small drill fitted with a 2 mm bit or, more simply, using a screw to slightly dent the rib in order to insert the electrode. A total of 470 leaves were examined for the raw pH in the petiole axis, on the basal side. The NIR spectra were used to predict the chemical composition, as previously described for pH <xref ref-type="bibr" rid="ridm1850613292">8</xref><xref ref-type="bibr" rid="ridm1850599868">10</xref>.</p>
      <p>Using an  SAS GLM procedure, we estimated the Least square means of the vines and the common parabolic regression of the pH on a year’s sequence, including the vine * year interaction. Moreover, a             within-vine parabolic regression was calculated. Finally, a Pearson correlation was computed between the average number of monthly sunspots and the LS means of the pH for the same five-year period.</p>
    </sec>
    <sec id="idm1842589132" sec-type="results">
      <title>Results </title>
      <sec id="idm1842589924">
        <title>Years and pH Evolution</title>
        <p>During the five years (<xref ref-type="fig" rid="idm1850573316">Figure 1</xref>), the average pH decreased almost regularly from 3.73 in 2015 to 3.15 in 2017, then appeared stable, according to the  negative linear and the  positive quadratic components (<xref ref-type="table" rid="idm1850573100">Table 1</xref>).  However, the pattern was different for the six vines (significant interaction). A general common trend was verified in two vines (<italic>Cabernet</italic> and <italic>Barbera</italic>). A shift in height occurred in <italic>Pinot  </italic>in 2018. After a minimum was reached in <italic>Shiraz</italic> and <italic>Nebiolo</italic> in 2017, the pH began to increase. The pH values in <italic>Grenache</italic> were lower in 2016 and 2019.</p>
        <fig id="idm1850573316">
          <label>Figure 1.</label>
          <caption>
            <title> Plot of the foliar pH for  the six grapevine cultivars over the five  years.</title>
          </caption>
          <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
        </fig>
        <table-wrap id="idm1850573100">
          <label>Table 1.</label>
          <caption>
            <title> LS Means of the foliar pH of the six cultivars over the five years and the regression coefficients</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Vines</td>
                <td> </td>
                <td>
                  <italic>Cabernet</italic>
                </td>
                <td>
                  <italic>Barbera</italic>
                </td>
                <td>
                  <italic>Pinot</italic>
                </td>
                <td>
                  <italic>Shiraz</italic>
                </td>
                <td>
                  <italic>Nebbiolo</italic>
                </td>
                <td>
                  <italic>Grenache</italic>
                </td>
                <td>Mean</td>
              </tr>
              <tr>
                <td>Years</td>
                <td>2015</td>
                <td>4.17</td>
                <td>3.57</td>
                <td>3.65</td>
                <td>3.81</td>
                <td>3.77</td>
                <td>3.39</td>
                <td>3.73</td>
              </tr>
              <tr>
                <td> (Y)</td>
                <td>2016</td>
                <td>3.42</td>
                <td>3.41</td>
                <td>3.46</td>
                <td>3.33</td>
                <td>3.23</td>
                <td>3.16</td>
                <td>3.33</td>
              </tr>
              <tr>
                <td> </td>
                <td>2017</td>
                <td>3.18</td>
                <td>3.11</td>
                <td>3.02</td>
                <td>3.04</td>
                <td>3.14</td>
                <td>3.38</td>
                <td>3.15</td>
              </tr>
              <tr>
                <td> </td>
                <td>2018</td>
                <td>3.16</td>
                <td>2.99</td>
                <td>3.34</td>
                <td>3.21</td>
                <td>3.12</td>
                <td>3.21</td>
                <td>3.17</td>
              </tr>
              <tr>
                <td> </td>
                <td>2019</td>
                <td>3.30</td>
                <td>3.15</td>
                <td>2.72</td>
                <td>3.35</td>
                <td>2.86</td>
                <td>3.37</td>
                <td>3.13</td>
              </tr>
              <tr>
                <td> </td>
                <td>Mean</td>
                <td>3.45</td>
                <td>3.25</td>
                <td>3.24</td>
                <td>3.35</td>
                <td>3.23</td>
                <td>3.30</td>
                <td>3.30</td>
              </tr>
              <tr>
                <td>Regression</td>
                <td>b(Y)</td>
                <td>-1.0617</td>
                <td>-0.4640</td>
                <td>0.1664</td>
                <td>-0.8378</td>
                <td>-0.5046</td>
                <td>-0.1667</td>
                <td>-0.5486</td>
              </tr>
              <tr>
                <td> </td>
                <td>P</td>
                <td>&lt;.0001</td>
                <td>0.0012</td>
                <td>0.9379</td>
                <td>&lt;.0001</td>
                <td>0.0025</td>
                <td>0.1419</td>
                <td>&lt;.0001</td>
              </tr>
              <tr>
                <td> </td>
                <td>b(Y<sup>2</sup>)</td>
                <td>0.1420</td>
                <td>0.0587</td>
                <td>-0.0078</td>
                <td>0.1216</td>
                <td>0.0494</td>
                <td>0.0269</td>
                <td>0.0671</td>
              </tr>
              <tr>
                <td> </td>
                <td>P</td>
                <td>&lt;.0001</td>
                <td>0.0023</td>
                <td>0.6908</td>
                <td>&lt;.0001</td>
                <td>0.007</td>
                <td>0.147</td>
                <td>&lt;.0001</td>
              </tr>
              <tr>
                <td>Model</td>
                <td>R<sup>2</sup></td>
                <td>0.80</td>
                <td>0.43</td>
                <td>0.64</td>
                <td>0.46</td>
                <td>0.67</td>
                <td>0.28</td>
                <td>0.43</td>
              </tr>
              <tr>
                <td> </td>
                <td>P. Interaction  Vine * Year</td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td>&lt;.0001</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="idm1842499052">
        <title>NIR Spectrum, pH Correlation, and Foliar Composition </title>
        <p>The correlation of the foliar pH with the NIR reflectance spectra ranged from -0.34 to -0.59 (<xref ref-type="fig" rid="idm1850485028">Figure 2</xref>) and the composition of the leaves varied accordingly (<xref ref-type="table" rid="idm1850483300">Table 2</xref>). In a condition of low pH, leaves tend to contain more water, and to raise the crop maturity index, NDF digestible, protein, ADF, cellulose, hemicellulose, lignin, energy and crude fiber. In a condition of high pH, leaves tend to lose the lipid, ash, NDF digestible, total digestibility and free sugar contents.  In short, a lowering of the pH, in response to a few sunspots, induces the plant to privilege the wall at the expense of the vacuole and the cytoplasm. Moreover, a higher maturity level tends to favor a rapid and amplified reproduction phase.</p>
        <fig id="idm1850485028">
          <label>Figure 2.</label>
          <caption>
            <title> Average reflectance spectra of the leaves and correlation with the pH.</title>
          </caption>
          <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
        </fig>
        <table-wrap id="idm1850483300">
          <label>Table 2.</label>
          <caption>
            <title> Correlation of the foliar pH with the constituents, estimated from the NIR-SCiO spectra (r(X,pH), and comparison with the previous Sorghum work 8 (r (Y, pH)) a.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>Constituent (X)</td>
                <td>r(X,pH)</td>
                <td>r(Y,pH)</td>
              </tr>
              <tr>
                <td>Dry matter</td>
                <td>
                  <bold>0.57</bold>
                </td>
                <td>
                  <bold>0.40</bold>
                </td>
              </tr>
              <tr>
                <td>Lipids</td>
                <td>0.48</td>
                <td>-0.52</td>
              </tr>
              <tr>
                <td>Ash</td>
                <td>0.38</td>
                <td>-0.02</td>
              </tr>
              <tr>
                <td>Total digestibility</td>
                <td>0.37</td>
                <td>-0.04</td>
              </tr>
              <tr>
                <td>Sugars</td>
                <td>
                  <bold>0.24</bold>
                </td>
                <td>
                  <bold>0.23</bold>
                </td>
              </tr>
              <tr>
                <td>Neutral Detergent Fiber (NDF)</td>
                <td>
                  <bold>0.10</bold>
                </td>
                <td>
                  <bold>0.20</bold>
                </td>
              </tr>
              <tr>
                <td>NDF digestibility</td>
                <td>0.06</td>
                <td>-0.08</td>
              </tr>
              <tr>
                <td>NDF non digestible</td>
                <td>
                  <bold>0.01</bold>
                </td>
                <td>
                  <bold>0.03</bold>
                </td>
              </tr>
              <tr>
                <td>Crop Maturity Index</td>
                <td>
                  <bold>-0.19</bold>
                </td>
                <td>
                  <bold>-0.20</bold>
                </td>
              </tr>
              <tr>
                <td>NDF digestible</td>
                <td>
                  <bold>-0.21</bold>
                </td>
                <td>
                  <bold>-0.41</bold>
                </td>
              </tr>
              <tr>
                <td>Crude protein</td>
                <td>-0.24</td>
                <td>0.04</td>
              </tr>
              <tr>
                <td>Acid Detergent Fiber (ADF)</td>
                <td>
                  <bold>-0.26</bold>
                </td>
                <td>
                  <bold>-0.36</bold>
                </td>
              </tr>
              <tr>
                <td>Cellulose</td>
                <td>-0.32</td>
                <td>0.58</td>
              </tr>
              <tr>
                <td>Hemicellulose</td>
                <td>
                  <bold>-0.33</bold>
                </td>
                <td>
                  <bold>-0.16</bold>
                </td>
              </tr>
              <tr>
                <td>Lignin (ADL)</td>
                <td>
                  <bold>-0.38</bold>
                </td>
                <td>
                  <bold>-0.22</bold>
                </td>
              </tr>
              <tr>
                <td>Gross Energy</td>
                <td>
                  <bold>-0.46</bold>
                </td>
                <td>
                  <bold>-0.18</bold>
                </td>
              </tr>
              <tr>
                <td>Crude fiber</td>
                <td>
                  <bold>-0.51</bold>
                </td>
                <td>
                  <bold>-0.28</bold>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1842440020">
              <label/>
              <p><sup>a</sup>The concordant coefficients are in bold</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        </sec>
		<sec id="idm1842437647">
        <title>Sunspot Correlation with Foliar pH </title>
        <p>Two parallel parabolic traces described a conjoint  descent of the sunspots and the foliar pH over the years (<xref ref-type="fig" rid="idm1850389940">Figure 3</xref>)  A Pearson correlation of 0.95 (P 0.01) linked the two parameters.  This is a  new finding, but it does not seem to be based merely on statistics, for the reason discussed thereafter.</p>
        <fig id="idm1850389940">
          <label>Figure 3.</label>
          <caption>
            <title> Plot of the sunspots 9 and the average foliar pH of the six grapevines over the five years of the 24th solar cycle (S24) and the parabolic fittings (r pearson  0.95; P 0.01).</title>
          </caption>
          <graphic xlink:href="images/image3.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1842437644">
        <title>Sunspots are Statistically Related to Outbreaks</title>
        <p>We here present a data mapping of the outbreaks that were reviewed by plant pathologists (<xref ref-type="table" rid="idm1850387708">Table 3</xref>), from which it appears that several outbreaks (<xref ref-type="fig" rid="idm1850214188">Figure 4</xref>) took place  during some periods of low sunspot occurrences. Considering a 50% possibility of falling below the sunspot average  of the involved  solar cycle, twenty-two of the twenty-five referenced cases of outbreaks were below the average (P 0.0001) and often at minimal values, as can be seen from the average 49% decrease.</p>
       <table-wrap id="idm1850387708">
          <label>Table 3.</label>
          <caption>
            <title> The twenty-five referenced  cases of pandemic outbreaks paired with the yearly and 11-year            moving average of the sunspots.</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>#Cases</td>
                <td>Outbreaks</td>
                <td>Country</td>
                <td>Year</td>
                <td>Sunspots</td>
                <td>11 years</td>
                <td>Reference</td>
              </tr>
              <tr>
                <td>1</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu.</td>
                <td>1784</td>
                <td>17</td>
                <td>120</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>2</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu..</td>
                <td>1812</td>
                <td>8</td>
                <td>22</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>3</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1824</td>
                <td>11</td>
                <td>37</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>4</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1825</td>
                <td>28</td>
                <td>44</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>5</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1826</td>
                <td>59</td>
                <td>65</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>6</td>
                <td><italic>Phytophthora </italic><italic>infestans</italic> on Potato</td>
                <td>Ireland</td>
                <td>1845</td>
                <td>66</td>
                <td>97</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850582308">13</xref>
                </td>
              </tr>
              <tr>
                <td>7</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu.</td>
                <td>1846</td>
                <td>102</td>
                <td>97</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>8</td>
                <td><italic>Oidium</italic>on Vine</td>
                <td>France</td>
                <td>1854</td>
                <td>39</td>
                <td>81</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850582308">13</xref>
                </td>
              </tr>
              <tr>
                <td>9</td>
                <td><italic>Doryphora</italic>on Potato</td>
                <td>USA</td>
                <td>1874</td>
                <td>75</td>
                <td>96</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850582308">13</xref>
                </td>
              </tr>
              <tr>
                <td>10</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu..</td>
                <td>1878</td>
                <td>5</td>
                <td>51</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>11</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>Italy</td>
                <td>1884</td>
                <td>105</td>
                <td>68</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850582308">13</xref>
                </td>
              </tr>
              <tr>
                <td>12</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>Italy</td>
                <td>1889</td>
                <td>10</td>
                <td>61</td>
                <td/>
              </tr>
              <tr>
                <td>13</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>Italy</td>
                <td>1890</td>
                <td>11</td>
                <td>61</td>
                <td/>
              </tr>
              <tr>
                <td>14</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>Italy</td>
                <td>1910</td>
                <td>31</td>
                <td>51</td>
                <td/>
              </tr>
              <tr>
                <td>15</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>France</td>
                <td>1910</td>
                <td>31</td>
                <td>51</td>
                <td/>
              </tr>
              <tr>
                <td>16</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu.</td>
                <td>1912</td>
                <td>6</td>
                <td>50</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>17</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>France</td>
                <td>1915</td>
                <td>79</td>
                <td>65</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850582308">13</xref>
                </td>
              </tr>
              <tr>
                <td>18</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1921</td>
                <td>43.5</td>
                <td>75.04</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>19</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1922</td>
                <td>23.7</td>
                <td>76.19</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>20</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1923</td>
                <td>9.7</td>
                <td>70.3</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>21</td>
                <td><italic>Pyricularia</italic><italic>oryzae</italic>Rice</td>
                <td>Italy</td>
                <td>1924</td>
                <td>27.9</td>
                <td>69.81</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850585908">12</xref>
                </td>
              </tr>
              <tr>
                <td>22</td>
                <td><italic>Plasmopara</italic>on vine</td>
                <td>Italy</td>
                <td>1934</td>
                <td>14</td>
                <td>81</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850582308">13</xref>
                </td>
              </tr>
              <tr>
                <td>23</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu..</td>
                <td>1944</td>
                <td>16</td>
                <td>101</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>24</td>
                <td>Potato Leaf Roll Virus</td>
                <td>N.Am. and W.Eu..</td>
                <td>1976</td>
                <td>18</td>
                <td>94</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850595476">11</xref>
                </td>
              </tr>
              <tr>
                <td>25</td>
                <td><italic>Xylella </italic>on Olive</td>
                <td>Italy-Puglia</td>
                <td>2004</td>
                <td>65</td>
                <td>90</td>
                <td>
                  <xref ref-type="bibr" rid="ridm1850579788">14</xref>
                </td>
              </tr>
              <tr>
                <td> </td>
                <td>Average</td>
                <td> </td>
                <td> </td>
                <td>36.0</td>
                <td>71.0</td>
                <td> </td>
              </tr>
              <tr>
                <td> </td>
                <td>Sunspot decrease</td>
                <td> </td>
                <td> </td>
                <td>-49%</td>
                <td> </td>
                <td> </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="idm1850214188">
          <label>Figure 4.</label>
          <caption>
            <title> The monthly sunspot frequencies in the 1700-2019 interval with the yearly                sunspots for twenty-five pandemic outbreaks (r 0.40) and for the approaching 11-year                cycle. The numbers in the upper boxes indicate the cases reported in Table 2.</title>
          </caption>
          <graphic xlink:href="images/image4.jpg" mime-subtype="jpg"/>
        </fig>
        <p>As far as insect pests are concerned,  after assessing some of the <italic>Phylloxera</italic><italic>vastatrix</italic> outbreak statistics in the grapevines, the relationships appeared positive (<xref ref-type="table" rid="idm1850212676">Table 4</xref>): only eight out of thirteen historic cases (61%) were below the mean value of the cycle and the sunspots were significantly correlated (r 0.78; P 0.001).</p>
        <table-wrap id="idm1850212676">
          <label>Table 4.</label>
          <caption>
            <title> Phylloxera vastatrix outbreaks on grapes throughout the world 13 paired with the  yearly and the approaching 11-years moving average .</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>#</td>
                <td>Country</td>
                <td>Outbreak</td>
                <td>Sunspots</td>
                <td>11-Years</td>
              </tr>
              <tr>
                <td>1</td>
                <td>France</td>
                <td>1863</td>
                <td>83</td>
                <td>100</td>
              </tr>
              <tr>
                <td>2</td>
                <td>Italy</td>
                <td>1870</td>
                <td>232</td>
                <td>105</td>
              </tr>
              <tr>
                <td>3</td>
                <td>Portugal</td>
                <td>1871</td>
                <td>185</td>
                <td>103</td>
              </tr>
              <tr>
                <td>4</td>
                <td>USA (California)</td>
                <td>1873</td>
                <td>110</td>
                <td>102</td>
              </tr>
              <tr>
                <td>5</td>
                <td>Switzerland</td>
                <td>1874</td>
                <td>75</td>
                <td>96</td>
              </tr>
              <tr>
                <td>6</td>
                <td>Germany</td>
                <td>1875</td>
                <td>28</td>
                <td>85</td>
              </tr>
              <tr>
                <td>7</td>
                <td>Australia</td>
                <td>1877</td>
                <td>20</td>
                <td>58</td>
              </tr>
              <tr>
                <td>8</td>
                <td>Spain</td>
                <td>1878</td>
                <td>5</td>
                <td>51</td>
              </tr>
              <tr>
                <td>9</td>
                <td>New Zealand</td>
                <td>1885</td>
                <td>86</td>
                <td>62</td>
              </tr>
              <tr>
                <td>10</td>
                <td>South Africa</td>
                <td>1885</td>
                <td>86</td>
                <td>62</td>
              </tr>
              <tr>
                <td>11</td>
                <td>Peru</td>
                <td>1888</td>
                <td>11</td>
                <td>58</td>
              </tr>
              <tr>
                <td>12</td>
                <td>Greece</td>
                <td>1898</td>
                <td>44</td>
                <td>58</td>
              </tr>
              <tr>
                <td>13</td>
                <td>Spain</td>
                <td>1901</td>
                <td>4.6</td>
                <td>42</td>
              </tr>
              <tr>
                <td> </td>
                <td> </td>
                <td>Means</td>
                <td>74.6</td>
                <td>75.5</td>
              </tr>
              <tr>
                <td> </td>
                <td>Correlation; r (P)</td>
                <td> </td>
                <td colspan="2">+0.76 (P 0.001)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>However, a  clear confirmation of the pattern shown in <xref ref-type="fig" rid="idm1850389940">Figure 3</xref> was derived from long-term experiments and scientific studies on the forest moth pest species. Selas <italic>et al</italic>. <xref ref-type="bibr" rid="ridm1850575540">15</xref>, from 1970 to 2004, observed a clear inverse correlation that opposed the presence of sunspots  to the outbreaks: r -0.92 in the autumnal moth (<italic>Epirrita</italic><italic>autumnata</italic>) in <italic>Betula </italic> and                  r -0.78 on <italic>Eilema</italic><italic>lurideola</italic> from a lowland mixed forest. </p>
        <p>A further confirmation of a possible,                      non-random cyclical correlation between sunspots and epidemiology can be derived from the accurate monitoring of the fire blight pest in Trentino  <xref ref-type="bibr" rid="ridm1850562892">16</xref>. In <xref ref-type="fig" rid="idm1850091492">Figure 5</xref>, it is possible to observe that the frequencies were relatively stable and the sunspots were unrelated in the middle of  two full solar  cycles, in the 1999-2011 interval. However, in the interval 1999-2003 and after the maximum outbreak occurred in 2011, problaby due to extraordinary temperatures and heavy rainfall, the two lines show strong opposite trends (r -0.88; P 0.049 and -0.80; P 0.0172, respectively).</p>
        <fig id="idm1850091492">
          <label>Figure 5.</label>
          <caption>
            <title> Erwinia amylovora frequencies in Trentino plotted angainst              sunspots for the 1999-2019 interval.</title>
          </caption>
          <graphic xlink:href="images/image5.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
    </sec>
    <sec id="idm1842310700" sec-type="discussion">
      <title>Discussion</title>
      <sec id="idm1842310916">
        <title>Foliar pH Functionality and Sunspot Mechanisms</title>
        <p>The only multispecies study concerning the functionality of foliar pH <xref ref-type="bibr" rid="ridm1850628092">6</xref> hypothesized that the tissue pH itself is closely controlled by a given species, because of its direct or indirect functions in the plant. For instance, a low pH has been found to correspond to poor digestibility, and may therefore act as an                    anti-herbivore defence in subarctic ﬂora. </p>
        <p>In a previous paper <xref ref-type="bibr" rid="ridm1850613292">8</xref>, we outlined the pivotal role of foliar pH in changing the composition of the leaves in  conventional or mycorrhizal <italic>Sorghum</italic>. The results of the present work have confirmed the positive co-variation of pH with the dry matter, sugars and NDF as well as the negative  co-variation of the ADF, hemicellulose, lignin, gross energy and crude fiber. Some constituents now appear different, namely the lipids (now positive) and the cellulose (now negative). However, the general pattern of leaf acidification manifested by high hydration and reiforcement of the wall compartment shown in the <italic>Sorghum</italic> study <xref ref-type="bibr" rid="ridm1850613292">8</xref> has here been confirmed for grapevines. In general, although more resistant walls are favorable, a greater turgidity of leaves is negative for the defense against parasites.</p>
        <p>As far as the negative correlation of the sunspots with mud insect development is                  concerned <xref ref-type="bibr" rid="ridm1850575540">15</xref>, this unexplained fact was deemed to be due to a differential UV-B irradiation in a high sunspot phase which, in turn, led the plants to lower their chemical protectants. A low sunspot activity leads to a thinner ozone layer and thus a higher surface ultraviolet (UV)-B radiation. As winter moth larvae prefer leaves subjected to enhanced UV-B radiation, the Authors  argued that the statistical relationship between sunspots and moths could be substantiated by the metabolic costs of producing UV-B-protective pigments during periods of low sunspot activity, which reduce tree resistance to herbivores, and thus increase the survival of moth larvae. The sun emits light, heat and UV radiation. The UV region covers the 100–400 nm wavelength range and is divided into three bands: UV-A (315–400 nm)             UV-B (280–315 nm) UV-C (100–280 nm). As sunlight passes through the atmosphere, all the UV-C, and approximately 90% of UV-B radiation, are absorbed by ozone, water vapor, oxygen and carbon dioxide. UV-A radiation is less affected by the atmosphere. Therefore, the UV radiation that reaches the Earth’s surface is mostly composed of UV-A with a small UV-B component. The global solar UV Index (UVI), graded from 1 to 11<sup>+</sup>, is a measure of the intensity of UV radiation on the Earth’s surface and it is relevant because of its effects on human skin <xref ref-type="bibr" rid="ridm1850561092">17</xref>. WHO <italic>who.int/</italic><italic>uv</italic> has developed reliable predictions of the consequences on human health and on the environment due to changes in UV exposure as a result of stratospheric ozone depletion. Maps of the daily UV irradiation at the soil level depend to a great extent on the season and latitudes. Nordic countries (Norway, Sweden and Finland) tend to receive higher levels of UV irradiation than Germany or France in late spring and early summer. </p>
      </sec>
      <sec id="idm1842308900">
        <title>Sunspots are Statistically or Functionally Related to Outbreaks</title>
        <p>According to the examined outbreak cases, a statistic hypothesis of an association with sunspots cannot always be rejected. However, only a few serious long-term studies are available to corroborate a general theory on such an argument. Taking inspiration from the mud-insect studies, a solar influence could be envisaged on the quantity of the UV-B reaching  the plants, and the  ozone layer is involved to a great extent.  In short,  if the sunspot/pH relationship that has emerged for the first time in the present work could be back-projected correctly, the plants would be induced to be in a acidic status, when and where  the parasites could have  manifested their maxima attacks, in true historical events not mitigated by pesticides. An increase in the circulating acidity of the plants has here been hypothesized to play a role in diminishing the general tendency to block parasite attacks. According to the present pH model hypothesis, the evolution of the plants might have been  driven  <italic>in </italic><italic>primis</italic> by some of the  photo-energetic assets and <italic>in </italic><italic>secundis</italic> by the parasitisms being  overdominated by  the fungi, which are well adapted to growing in the acidic environment of plants. Cornelissen <italic>et al.</italic><xref ref-type="bibr" rid="ridm1850560012">18</xref>  showed a  variety of acidic levels that characterize the green foliar world, and this foliar pH is totally independent of the soil pH. In a  previous study <xref ref-type="bibr" rid="ridm1850616820">7</xref>, we confirmed the <italic>cornucopia</italic> of acidic substances that determine a low pH in plants, and highlighted an  inverse correlation between the number of fungicide treatments and the foliar pH (R<sup>2</sup> 0.9). Moreover, the foliar pH was inversely
correlated to water stressed conditions, and  with the temperature, which is, overall, the main abiotic factor in agriculture.</p>
        <p>Volpato <italic>et al.</italic><xref ref-type="bibr" rid="ridm1850555404">19</xref>,  using a pH mycorrhizal model, outlined that some maize varieties did not respond by lowering their  foliar pH after inoculation, i.e. were not responsive to symbiosis, as they were oriented toward a commensalism or  to parasitism. Thus, the change in the energetic status is the key to understanding the critical sustainability of plants over the short horizon of a sunspot cycle, where critical points (&lt;7 sunspots) are observed in 1 out of 5.66 years, i.e. in 18% of the cases or two per cycle <xref ref-type="bibr" rid="ridm1850601956">9</xref>.  The preceding discussion was focussed on the foliar pH responses to the diminishing sunspots in this 24<sup>th</sup> cycle. This is a physioclimatic  response to a reduction in sunspots.  But what the “trojan horses” that threaten plants are could remain unknown. </p>
      </sec>
    </sec>
    <sec id="idm1842244172" sec-type="conclusions">
      <title>Conclusion</title>
      <p>The solar cycle is still debated in the framework of climate change. There is a general consensus toward an independence of sunspots from the phenomenon of accelerated deglaciation and localized warming in the northern hemisphere.  Since the conclusion of the 21<sup>th</sup> cycle (1976), other anthropogenic components have been implicated more to spread the trends (<xref ref-type="fig" rid="idm1850079684">Figure 6</xref>). </p>
      <fig id="idm1850079684">
        <label>Figure 6.</label>
        <caption>
          <title>  Yearly trend of the sunspots and global world temperature (NASA https://climate.nasa.gov/vital-signs/global-temperature). The two red arrows indicate a bifurcation of the temperature and sunspot trends.</title>
        </caption>
        <graphic xlink:href="images/image6.jpg" mime-subtype="jpg"/>
      </fig>
      <p>Since the dawn  of time, plants have lived in maternal symbiosis with the sun, fighting with parasites, while adapting their relationships to periodical sunspot  oscillations. We have shown that a lowering of foliar pH  depends  on the sunspots in a solar cycle. Furthermore, we  have hypothesized that a probable change in energy status may be correlated with acute parasitism events. Moreover, a new, more serious threat is derived from the increase in the temperature, as it determines a lowering of foliar pH. It is this simple parameter that physiologists and geneticists, but also agronomists, are asked to consider, especially in the perspective of sustainable bio-fertilizer management.  </p>
      <p>In short, for the first time in the present work it has emerged the sunspot/pH relationship.  If it could be back-projected correctly, the plants would have been induced to an acidic status, when and where the parasites could manifest their maxima attacks. This happened in true historical events not mitigated by pesticides. An increase in the circulating acidity of the plants has here been conjectured to play a role in diminishing the general tendency to block parasite attacks. </p>
    </sec>
    <sec id="idm1842243380">
      <title>Acknowledgments</title>
      <p>Thanks are due to several Academic Associates for their comments on the present work. The assumptions presented herein remain the opinions of the Authors.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ridm1850769244">
        <label>1.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Herschel</surname>
            <given-names/>
          </name>
          <article-title>Sir William F.(1832). Observations tending to investigate the Nature of the Sun, in order to find the Causes or Symptoms of its variable Emissions of Light and Heat, with Remarks on the Use that may possible be drawn from Solar Observations,” -</article-title>
          <source>Philosophical Transactions of the Royal Society of London</source>
          <volume>1</volume>
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        </mixed-citation>
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        <label>2.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Love</surname>
            <given-names>J J</given-names>
          </name>
          <article-title>On the insignificance of Herschel's sunspot correlation. Geophysical Research Letters</article-title>
          <date>
            <year>2013</year>
          </date>
          <volume>40</volume>
          <issue>16</issue>
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