<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2022.133024</article-id><article-id pub-id-type="publisher-id">AS-115725</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Available Contents and Spatial Distribution of Soil Microelements of Tobacco Fields in Liupanshui City
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shihai</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chongde</surname><given-names>Zhang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wengang</surname><given-names>Yang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jun</surname><given-names>Shang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Changquan</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhongyu</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wenjie</surname><given-names>Pan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chaoying</surname><given-names>Jiang</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yuntao</surname><given-names>Zeng</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xiangzhen</surname><given-names>Kong</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Decheng</surname><given-names>Li</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Guizhou Tobacco Company, Guiyang, China</addr-line></aff><aff id="aff3"><addr-line>University of Chinese Academy of Sciences, Beijing, China</addr-line></aff><aff id="aff1"><addr-line>Liupanshui Branch of Guizhou Tobacco Company, Liupanshui, China</addr-line></aff><aff id="aff4"><addr-line>State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, China</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>03</month><year>2022</year></pub-date><volume>13</volume><issue>03</issue><fpage>345</fpage><lpage>357</lpage><history><date date-type="received"><day>30,</day>	<month>December</month>	<year>2021</year></date><date date-type="rev-recd"><day>6,</day>	<month>March</month>	<year>2022</year>	</date><date date-type="accepted"><day>9,</day>	<month>March</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution-NonCommercial International License (CC BY-NC).http://creativecommons.org/licenses/by-nc/4.0/</license-p></license></permissions><abstract><p>
 
 
  The contents of soil microelements can affect the growth, yield and quality of tobacco, but it is not clear of the status quo of soil microelements in tobacco fields in Liupanshui city. In this study, soil samples of the plough layers (0 - 20 cm) were collected from January to March in 2021 from 500 typical tobacco fields in Liupanshui City (100, 180 and 220 fields in Zhongshan, Shuicheng and Panzhou, respectively), the particle size composition, pH, the contents of organic matter (OM), available boron (B), copper (Cu), iron (Fe), manganese (Mn), molybdenum (Mo) and zinc (Zn) were measured and discussed. the results show that the mean contents of B, Cu, Fe, Mn, Mo and Zn are 0.92, 2.55, 66.47, 47.26, 0.39 and 3.96 mg/kg, respectively, and among which, B, Cu and Zn are at the high grades while Fe, Mn and Mo are at the very-high grades. There are significant differences in B, Fe and Zn among the three regions, while Cu is significantly different between Zhongshan and Shuicheng, Mn is significantly different between Panzhou with Zhongshan and Shuicheng, and Mo is significantly different between Zhongshan and Panzhou. The proportions of fields deficient in microelements are relatively low, no field is Fe-deficient, and the fields deficient in Mo, B, Cu, Zn and Mn are only account for 10.40%, 9.40%, 7.40%, 2.80% and 2.00% of the total fields respectively. B-deficient fields (green and light green colors, the same below) are mainly scattered in the northwest of Zhongshan and in the north and south of Panzhou, Cu-deficient fields mainly in the middle of Shuicheng and Panzhou, Mn-deficient fields mainly in northern Zhongshan, central Shuicheng and north of Panzhou. Mo-deficient fields are mainly in the middle of Shuicheng and the middle and east of Panzhou, while Zn-deficient fields are mainly in the middle of Shuicheng and the middle and east of Panzhou. Altitude is negatively correlated with Mn (P &lt; 0.05), pH is negatively correlated with B (P &lt; 0.05), Fe and Mn (P &lt; 0.01), and OM is positively correlated with Fe and Zn (P &lt; 0.01). Sand is negatively correlated with B (P &lt; 0.05), Mn and Mo (P &lt; 0.01), but positively correlated with Zn (P &lt; 0.01). Silt is positively correlated with Mo (P &lt; 0.05); clay is positively correlated with B (P &lt; 0.05) and Mn (P &lt; 0.01), but negatively correlated with Zn (P &lt; 0.01). In conclusion, most of the fields do not need to apply micro-fertilizers in Liupanshui, but the fields deficient in microelements should be considered to use the corresponding fertilizers.
 
</p></abstract><kwd-group><kwd>Tobacco Field</kwd><kwd> Microelements</kwd><kwd> Contents</kwd><kwd> Spatial Distribution</kwd><kwd> Quantitative Assessment</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The microelements are essential for normal growth and development of plants [<xref ref-type="bibr" rid="scirp.115725-ref1">1</xref>], their contents in soils can affect the growth, yield and quality of tobacco [<xref ref-type="bibr" rid="scirp.115725-ref2">2</xref>] - [<xref ref-type="bibr" rid="scirp.115725-ref7">7</xref>]. So far, more attention have been paid to the study on soil microelements in tobacco fields, and more than 90 relevant pieces of literatures in Chinese have been published (CNKI, https://www.cnki.net/) with the time span from 2002 [<xref ref-type="bibr" rid="scirp.115725-ref8">8</xref>] to 2022 [<xref ref-type="bibr" rid="scirp.115725-ref9">9</xref>]. For example, Ding (2002) investigated the contents of microelements in major tobacco soils in Guizhou Province in 2000 and found that iron (Fe), found that manganese (Mn) was generally very rich, manganese (Mo) rich, copper (Cu) and zinc (Zn) moderate, and boron (B) poor, and the contents of microelements differed obviously among different areas and soil types. Ding et al. (2022) [<xref ref-type="bibr" rid="scirp.115725-ref9">9</xref>] studied the available contents of trace elements in 191 typical topsoil samples (0 - 20 cm) of tobacco-planting fields in central Henan Province in 2020, found that Mn was generally sufficient, Mo extremely insufficient, and Cu and Zn insufficient in some soil samples, and there were quadratic function correlations between pH and organic matter with trace elements.</p><p>Liupanshui City is one of the main tobacco-planting regions in Guizhou Province, with the current tobacco fields of 7000 hm<sup>2</sup>, the annual yield of tobacco leaves of 12.5 &#215; 10<sup>4</sup> t (the sweet-flavor style in China [<xref ref-type="bibr" rid="scirp.115725-ref10">10</xref>] ). Soil properties of the tobacco fields in Liupanshui were studied by some previous studies [<xref ref-type="bibr" rid="scirp.115725-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref13">13</xref>] but little information is available on soil microelements. Soil available boron content was found insufficient in the tobacco fields in Liupanshui by previous studies on soil microelements in 2000 [<xref ref-type="bibr" rid="scirp.115725-ref14">14</xref>] and 2006 [<xref ref-type="bibr" rid="scirp.115725-ref15">15</xref>], but the status quo of soil microelements is not clear. Therefore, this study is to quantitatively assess the available contents and spatial distribution of soil microelements in tobacco fields in Liupanshui through the survey in 2021 in order to guide the rational application of micro-fertilizers.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Basic Information of Study Area</title><p>Liupanshui is located in the Yunnan-Guizhou Plateau of southwest China (25˚19'44&quot;N - 26˚55'33&quot;N and 104˚18'20&quot;E - 105˚42'50&quot;E) with a total area of 9914 km<sup>2</sup>. The landform is mainly constituted of mountains and hills with the elevation of 586 - 2900 m, its mean annual temperature is 13˚C - 14˚C, precipitation is 1200 - 1500 mm, sunshine duration is 1100 - 1600 h, and frost-free period is 200 - 300 d. The main soil types of tobacco fields are yellow soil, lime soil and yellow-brown soil in Chinese Genetic Classification [<xref ref-type="bibr" rid="scirp.115725-ref16">16</xref>], roughly referred to Argosols or Cambosols in Chinese Soil Taxonomy [<xref ref-type="bibr" rid="scirp.115725-ref17">17</xref>], and Alfisols or Inceptisols in Soil Taxonomy of USA [<xref ref-type="bibr" rid="scirp.115725-ref18">18</xref>].</p></sec><sec id="s2_2"><title>2.2. Sampling and Determination of Soil Samples</title><p>500 tobacco-planting units were divided in December of 2020 on the basis of the current spatial distribution of tobacco fields in Liupanshui city, then one typical tobacco field was determined in each tobacco-planting unit according to the information of terrain, parent material, tobacco perennial growth situation and crop rotation system, etc. (see <xref ref-type="fig" rid="fig1">Figure 1</xref>, among of the 500 fields, 100, 180 and 220 fields in Zhongshan, Shuicheng and Panzhou, respectively) according to the spatial distribution of tobacco fields. Soil samples of the plough layer (0 - 20 cm) in each typical field was collected from January to March in 2021 randomly at 8 sites with the stainless-steel soil drill and mixed fully (1.5 - 2 kg in total) before the application of base fertilizers and the transplantation of tobacco seedlings. After soil samples were natural air-dried and grinded, the particle size distribution of soil samples was tested by the pipette method with pretreatment for the removal of organic matter (OM) using H<sub>2</sub>O<sub>2</sub> with Na hexametaphosphate as the dispersant agent. pH by potentiometry with the ratio of soil/water = 1:5, organic matter (OM) was tested by oxidation with K<sub>2</sub>Cr<sub>2</sub>O<sub>7</sub> and titration of excess dichromate with (NH<sub>4</sub>)<sub>2</sub>FeSO<sub>4</sub>, available boron (B) by curcumin absorbance method, molybdenum (Mo) by oscillopolarography, and available iron (Fe), manganese (Mn), copper (Cu) and zinc (Zn) by atomic absorption spectrophotometry [<xref ref-type="bibr" rid="scirp.115725-ref19">19</xref>].</p></sec><sec id="s2_3"><title>2.3. Classification of Soil Microelement Contents</title><p>According to the published literature [<xref ref-type="bibr" rid="scirp.115725-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref15">15</xref>] on the tobacco fields in Guizhou, the classification of soil available microelement contents was determined for the tobacco fields in Liupanshui (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s2_4"><title>2.4. Data Processing and Statistics</title><p>Microsoft Excel 2016 and IBM Statistics SPSS 22.0 software was used for data processing and statistics, significant differences and correlation and analysis (indicated by P &lt; 0.05 or P &lt; 0.01). The abnormal data were eliminated according to the mothed of mean &#177; 3 &#215; S.D. The maps of the spatial distribution of microelements were formed by the kriging spatial interpolation method was used on ArcGIS 10.0 platform.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Classification of soil available microelement contents (mg&#183;kg<sup>−1</sup>)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Element</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Grade</th><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Very-Low</td><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >Middle (Suitable)</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >Very-High</td></tr><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >&lt;0.15</td><td align="center" valign="middle" >0.15 - 0.3</td><td align="center" valign="middle" >0.3 - 0.6</td><td align="center" valign="middle" >0.6 - 1.0</td><td align="center" valign="middle" >≥1.0</td></tr><tr><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" >&lt;0.2</td><td align="center" valign="middle" >0.2 - 0.5</td><td align="center" valign="middle" >0.5 - 1.0</td><td align="center" valign="middle" >1.0 - 3.0</td><td align="center" valign="middle" >≥3.0</td></tr><tr><td align="center" valign="middle" >Fe</td><td align="center" valign="middle" >&lt;2.5</td><td align="center" valign="middle" >2.5 - 4.5</td><td align="center" valign="middle" >4.5 - 10</td><td align="center" valign="middle" >10 - 60</td><td align="center" valign="middle" >≥60</td></tr><tr><td align="center" valign="middle" >Mn</td><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >5 - 10</td><td align="center" valign="middle" >10 - 20</td><td align="center" valign="middle" >20 - 40</td><td align="center" valign="middle" >≥40</td></tr><tr><td align="center" valign="middle" >Mo</td><td align="center" valign="middle" >&lt;0.1</td><td align="center" valign="middle" >0.1 - 0.15</td><td align="center" valign="middle" >0.15 - 0.2</td><td align="center" valign="middle" >0.2 - 0.3</td><td align="center" valign="middle" >≥0.3</td></tr><tr><td align="center" valign="middle" >Zn</td><td align="center" valign="middle" >&lt;0.5</td><td align="center" valign="middle" >0.5 - 1.0</td><td align="center" valign="middle" >1.0 - 2.0</td><td align="center" valign="middle" >2.0 - 4.0</td><td align="center" valign="middle" >≥4.0</td></tr></tbody></table></table-wrap></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. General Statistics of Soil Microelements</title><p><xref ref-type="table" rid="table2">Table 2</xref> shows the statistical information of soil available microelement contents, the mean contents of B, Cu, Fe, Mn, Mo and Zn are 0.92, 2.55, 66.47, 47.26, 0.39 and 3.95 mg/kg, respectively, and compared with <xref ref-type="table" rid="table1">Table 1</xref>, B, Cu and Zn are at the high grades while Fe, Mn and Mo are at the very-high grades. All the elements are belonged to the moderate variation (C.V. (%) = 10% - 100%). Mn belongs to the negative skew distribution (Skewness &lt; 0) and the gentle peak form (Kurtosis &lt; 0), while other elements belong to the positive skew distribution (Skewness &gt; 0) and the steep-peak form (Kurtosis ≥ 0) [<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>]. In terms of different</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> General statistics of soil microelements</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Element</th><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >n</th><th align="center" valign="middle" >Range mg&#183;kg<sup>−1</sup></th><th align="center" valign="middle" >Mean &#177; S.D. mg&#183;kg<sup>−1</sup></th><th align="center" valign="middle" >C. V. (%)</th><th align="center" valign="middle" >Skewness</th><th align="center" valign="middle" >Kurtosis</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >B</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >0.03 - 5.39</td><td align="center" valign="middle" >0.92 &#177; 0.68</td><td align="center" valign="middle" >73.43</td><td align="center" valign="middle" >2.02</td><td align="center" valign="middle" >6.40</td></tr><tr><td align="center" valign="middle" >Zhongshan</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >0.15 - 4.14</td><td align="center" valign="middle" >0.99 &#177; 0.74 B</td><td align="center" valign="middle" >74.58</td><td align="center" valign="middle" >1.45</td><td align="center" valign="middle" >3.03</td></tr><tr><td align="center" valign="middle" >Shuicheng</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >0.07 - 5.39</td><td align="center" valign="middle" >1.11 &#177; 0.80 A</td><td align="center" valign="middle" >71.94</td><td align="center" valign="middle" >1.89</td><td align="center" valign="middle" >5.27</td></tr><tr><td align="center" valign="middle" >Panzhou</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >0.03 - 3.09</td><td align="center" valign="middle" >0.74 &#177; 0.46 C</td><td align="center" valign="middle" >62.2</td><td align="center" valign="middle" >1.65</td><td align="center" valign="middle" >3.99</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Cu</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >0.03 - 21.15</td><td align="center" valign="middle" >2.55 &#177; 2.36</td><td align="center" valign="middle" >92.59</td><td align="center" valign="middle" >3.47</td><td align="center" valign="middle" >16.78</td></tr><tr><td align="center" valign="middle" >Zhongshan</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >0.03 - 21.15</td><td align="center" valign="middle" >3.00 &#177; 2.59 A</td><td align="center" valign="middle" >86.54</td><td align="center" valign="middle" >4.03</td><td align="center" valign="middle" >24.64</td></tr><tr><td align="center" valign="middle" >Shuicheng</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >0.05 - 17.16</td><td align="center" valign="middle" >2.41 &#177; 2.88 B</td><td align="center" valign="middle" >119.36</td><td align="center" valign="middle" >3.28</td><td align="center" valign="middle" >11.16</td></tr><tr><td align="center" valign="middle" >Panzhou</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >0.05 - 10.59</td><td align="center" valign="middle" >2.46 &#177; 1.67 Ab</td><td align="center" valign="middle" >67.79</td><td align="center" valign="middle" >1.93</td><td align="center" valign="middle" >5.09</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Fe</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >8.84 - 220.10</td><td align="center" valign="middle" >66.47 &#177; 35.77</td><td align="center" valign="middle" >53.81</td><td align="center" valign="middle" >1.25</td><td align="center" valign="middle" >2.42</td></tr><tr><td align="center" valign="middle" >Zhongshan</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >8.84 - 117.40</td><td align="center" valign="middle" >51.41 &#177; 23.72 C</td><td align="center" valign="middle" >46.13</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >Shuicheng</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >13.76 - 214.75</td><td align="center" valign="middle" >74.78 &#177; 39.10 a</td><td align="center" valign="middle" >52.29</td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >1.31</td></tr><tr><td align="center" valign="middle" >Panzhou</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >13.08 - 220.10</td><td align="center" valign="middle" >66.52 &#177; 35.37 b</td><td align="center" valign="middle" >53.17</td><td align="center" valign="middle" >1.41</td><td align="center" valign="middle" >3.10</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Mn</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >3.75 - 70.80</td><td align="center" valign="middle" >47.26 &#177; 15.05</td><td align="center" valign="middle" >31.84</td><td align="center" valign="middle" >−0.84</td><td align="center" valign="middle" >−0.09</td></tr><tr><td align="center" valign="middle" >Zhongshan</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >5.74 - 66.05</td><td align="center" valign="middle" >43.46 &#177; 15.71 b</td><td align="center" valign="middle" >36.15</td><td align="center" valign="middle" >−0.38</td><td align="center" valign="middle" >−0.80</td></tr><tr><td align="center" valign="middle" >Shuicheng</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >3.75 - 67.50</td><td align="center" valign="middle" >42.86 &#177; 15.08 b</td><td align="center" valign="middle" >35.2</td><td align="center" valign="middle" >−0.55</td><td align="center" valign="middle" >−0.40</td></tr><tr><td align="center" valign="middle" >Panzhou</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >5.01 - 70.80</td><td align="center" valign="middle" >52.59 &#177; 12.94 A</td><td align="center" valign="middle" >24.61</td><td align="center" valign="middle" >−1.56</td><td align="center" valign="middle" >2.25</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Mo</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >0.02 - 2.51</td><td align="center" valign="middle" >0.39 &#177; 0.26</td><td align="center" valign="middle" >66.11</td><td align="center" valign="middle" >2.25</td><td align="center" valign="middle" >10.51</td></tr><tr><td align="center" valign="middle" >Zhongshan</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >0.13 - 1.45</td><td align="center" valign="middle" >0.44 &#177; 0.26 a</td><td align="center" valign="middle" >60.82</td><td align="center" valign="middle" >1.51</td><td align="center" valign="middle" >1.97</td></tr><tr><td align="center" valign="middle" >Shuicheng</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >0.02 - 1.15</td><td align="center" valign="middle" >0.41 &#177; 0.23 ab</td><td align="center" valign="middle" >56.56</td><td align="center" valign="middle" >0.61</td><td align="center" valign="middle" >−0.07</td></tr><tr><td align="center" valign="middle" >Panzhou</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >0.05 - 2.51</td><td align="center" valign="middle" >0.36 &#177; 0.28 b</td><td align="center" valign="middle" >76.56</td><td align="center" valign="middle" >3.45</td><td align="center" valign="middle" >19.28</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Zn</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >0.03 - 9.64</td><td align="center" valign="middle" >3.95 &#177; 1.62</td><td align="center" valign="middle" >40.9</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.43</td></tr><tr><td align="center" valign="middle" >Zhongshan</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >0.03 - 9.64</td><td align="center" valign="middle" >5.05 &#177; 1.67 A</td><td align="center" valign="middle" >32.97</td><td align="center" valign="middle" >−0.2</td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >Shuicheng</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >0.06 - 9.34</td><td align="center" valign="middle" >3.87 &#177; 3.87 b</td><td align="center" valign="middle" >44.79</td><td align="center" valign="middle" >0.23</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Panzhou</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >0.07 - 7.68</td><td align="center" valign="middle" >3.51 &#177; 1.22 c</td><td align="center" valign="middle" >34.69</td><td align="center" valign="middle" >0.17</td><td align="center" valign="middle" >1.12</td></tr></tbody></table></table-wrap><p>Different upper and lower case letters in the same column of Mean &#177; S.D. indicate significant difference at P &lt; 0.01 and P &lt; 0.05, respectively.</p><p>regions, there are significant differences in B, Fe and Zn among Zhongshan, Shuicheng and Panzhou, Cu is significantly different between Zhongshan and Shuicheng, Mn is significantly different between Panzhou with Zhongshan and Shuicheng, and Mo is significantly different between Zhongshan and Panzhou. All elements in Zhongshan and Panzhou are belonged to the moderate variation, while Cu in Shuicheng belongs to the intensive variation (C.V. (%) ≥ 100%) while the others belonged to the moderate variation. Mn in the three regions and Zn in Zhongshan belong to the negative skew distribution while others belonged to the positive skew distribution. Mn in Zhongshan and Shuicheng and Mo in Shuicheng are belonged to the gentle peak form, while others belonged to the steep-peak form [<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>].</p></sec><sec id="s3_2"><title>3.2. Grade Statistical Information of Soil Microelements</title><p><xref ref-type="table" rid="table3">Table 3</xref> shows the grade statistical information of soil microelements, the proportion of fields deficient in microelements is low, no field is Fe-deficient, and the fields deficient in Mo, B, Cu, Zn and Mn (including Very low and Low grades, the same below) are only account for 9.40% of total fields in the whole city, accounted for 10.40%, 9.40%, 7.40%, 2.80% and 2.00% of the total fields in Zhongshan, Shuichen and Panzhou, respectively. In terms of the proportion of fields deficient in microelements in Zhongshan, Shuicheng and Panzhou, the fields deficient in B are accounted for 15.00%, 5.00% and 10.45%, respectively; the fields deficient in Cu accounted for 7.00%, 11.11% and 4.54%, respectively; the fields deficient in Mn accounted for 1.00%, 3.33% and 1.36%, respectively; the fields deficient in Mo accounted for 1.00%, 12.22% and 13.19%, respectively; and the fields deficient in Zn accounted for 2.00%, 2.23% and 3.64%, respectively.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Grade statistics of soil microelements</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Element</th><th align="center" valign="middle"  rowspan="2"  >Grade</th><th align="center" valign="middle"  colspan="2"  >Total</th><th align="center" valign="middle"  colspan="2"  >Zhongshan</th><th align="center" valign="middle"  colspan="2"  >Shuicheng</th><th align="center" valign="middle"  colspan="2"  >Panzhou</th></tr></thead><tr><td align="center" valign="middle" >Field No.</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Field No.</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Field No.</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >Field No.</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >B</td><td align="center" valign="middle" >Very low</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >1.60</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.67</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >2.27</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >7.80</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >15.00</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >3.33</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >8.18</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >144</td><td align="center" valign="middle" >28.80</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >23.00</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >23.89</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >35.45</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >145</td><td align="center" valign="middle" >29.00</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.00</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >28.33</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >35.00</td></tr><tr><td align="center" valign="middle" >Very high</td><td align="center" valign="middle" >164</td><td align="center" valign="middle" >32.80</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >45.00</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >42.78</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >19.09</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Cu</td><td align="center" valign="middle" >Very low</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >3.40</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >4.44</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >3.18</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >4.00</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5.00</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >6.67</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.36</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >7.00</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.00</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >9.44</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >5.45</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >311</td><td align="center" valign="middle" >62.20</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >55.00</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >64.44</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >63.64</td></tr><tr><td align="center" valign="middle" >Very high</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >23.40</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >32.00</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >15.00</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >26.36</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Fe</td><td align="center" valign="middle" >Very low</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.20</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >242</td><td align="center" valign="middle" >48.40</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >66.00</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >37.78</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >49.09</td></tr><tr><td align="center" valign="middle" >Very high</td><td align="center" valign="middle" >257</td><td align="center" valign="middle" >51.40</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >33.00</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >62.22</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >50.91</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Mn</td><td align="center" valign="middle" >Very low</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.40</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.11</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >1.60</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2.22</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.36</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >4.20</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >9.00</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >3.89</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >2.27</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >23.80</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >32.00</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >33.89</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >11.82</td></tr><tr><td align="center" valign="middle" >Very high</td><td align="center" valign="middle" >350</td><td align="center" valign="middle" >70.00</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >58.00</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >58.89</td><td align="center" valign="middle" >186</td><td align="center" valign="middle" >84.55</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Mo</td><td align="center" valign="middle" >Very low</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >3.00</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >3.89</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3.64</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >7.40</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >8.33</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >9.55</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >9.80</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >8.00</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >9.44</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >10.91</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >21.60</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >27.00</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >15.00</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >24.55</td></tr><tr><td align="center" valign="middle" >Very high</td><td align="center" valign="middle" >291</td><td align="center" valign="middle" >58.20</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >64.00</td><td align="center" valign="middle" >114</td><td align="center" valign="middle" >63.33</td><td align="center" valign="middle" >113</td><td align="center" valign="middle" >51.36</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >100.00</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Zn</td><td align="center" valign="middle" >Very low</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >1.00</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1.67</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td></tr><tr><td align="center" valign="middle" >Low</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1.80</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3.64</td></tr><tr><td align="center" valign="middle" >Middle</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >6.40</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >7.00</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >6.67</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5.91</td></tr><tr><td align="center" valign="middle" >High</td><td align="center" valign="middle" >229</td><td align="center" valign="middle" >45.80</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >41.00</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >47.22</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >46.82</td></tr><tr><td align="center" valign="middle" >Very high</td><td align="center" valign="middle" >225</td><td align="center" valign="middle" >45.00</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >50.00</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >43.89</td><td align="center" valign="middle" >96</td><td align="center" valign="middle" >43.64</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >500</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >100.00</td><td align="center" valign="middle" >220</td><td align="center" valign="middle" >100.00</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Spatial Distribution Soil Microelements</title><p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows the spatial distribution of soil microelements, B-deficient fields (green and light green colors, the same below) are mainly scattered in the northwest of Zhongshan and in the north and south of Panzhou, Cu-deficient fields mainly in the middle of Shuicheng and Panzhou, Mn-deficient fields mainly in northern Zhongshan, central Shuicheng and north of Panzhou. Mo-deficient fields are mainly in the middle of Shuicheng and the middle and east of Panzhou, while Zn-deficient fields are mainly in the middle of Shuicheng and the middle and east of Panzhou.</p></sec><sec id="s3_4"><title>3.4. Correlation between Soil Microelements and Other Factors</title><p>In this study, no information of soil parent material and soil types was obtained, so only the relationship between soil microelements with altitude, soil pH, organic matter (OM) and particle size composition are considered. <xref ref-type="table" rid="table4">Table 4</xref> shows the statistical information of soil pH, OM and particle size composition (sand, silt and clay contents), and <xref ref-type="table" rid="table5">Table 5</xref> shows their correlation with microelements. Altitude is negatively correlated with Mn (P &lt; 0.05), pH is negatively correlated with B (P &lt; 0.05) and with Fe and Mn (P &lt; 0.01), OM is positively correlated with Fe and Zn (P &lt; 0.01). Sand is negatively correlated with B (P &lt; 0.05), Mn and Mo (P &lt; 0.01), but positively correlated with Zn (P &lt; 0.01). Silt is positively correlated with Mo (P &lt; 0.05), clay is significantly correlated with B (P &lt; 0.05) and Mn (P &lt; 0.01), but negatively correlated with Zn (P &lt; 0.01).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Statistics of altitude, soil pH, organic matter content and particle size composition</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Range</th><th align="center" valign="middle" >Mean &#177; S.D.</th><th align="center" valign="middle" >C. V. (%)</th><th align="center" valign="middle" >Skewness</th><th align="center" valign="middle" >Kurtosis</th></tr></thead><tr><td align="center" valign="middle" >Altitude (m)</td><td align="center" valign="middle" >1097 - 2110</td><td align="center" valign="middle" >1762 &#177; 128</td><td align="center" valign="middle" >7.29</td><td align="center" valign="middle" >−0.34</td><td align="center" valign="middle" >1.74</td></tr><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >3.88 - 8.73</td><td align="center" valign="middle" >5.91 &#177; 0.99</td><td align="center" valign="middle" >16.80</td><td align="center" valign="middle" >0.51</td><td align="center" valign="middle" >−0.22</td></tr><tr><td align="center" valign="middle" >OM (g&#183;kg<sup>−1</sup>)</td><td align="center" valign="middle" >13.67 - 93.39</td><td align="center" valign="middle" >37.00 &#177; 11.23</td><td align="center" valign="middle" >30.35</td><td align="center" valign="middle" >1.16</td><td align="center" valign="middle" >2.84</td></tr><tr><td align="center" valign="middle" >Sand (g&#183;kg<sup>−1</sup>)</td><td align="center" valign="middle" >6.76 - 62.95</td><td align="center" valign="middle" >26.72 &#177; 9.94</td><td align="center" valign="middle" >37.22</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >1.11</td></tr><tr><td align="center" valign="middle" >Silt (g&#183;kg<sup>−1</sup>)</td><td align="center" valign="middle" >18.81 - 64.59</td><td align="center" valign="middle" >42.33 &#177; 7.54</td><td align="center" valign="middle" >17.82</td><td align="center" valign="middle" >−0.07</td><td align="center" valign="middle" >0.17</td></tr><tr><td align="center" valign="middle" >Clay (g&#183;kg<sup>−1</sup>)</td><td align="center" valign="middle" >9.29 - 63.42</td><td align="center" valign="middle" >30.95 &#177; 9.15</td><td align="center" valign="middle" >29.56</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >0.05</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Correlation coefficients between other factors and soil microelements</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factor</th><th align="center" valign="middle" >Correlation</th><th align="center" valign="middle" >B</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Fe</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >Mo</th><th align="center" valign="middle" >Zn</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Altitude</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >0.020</td><td align="center" valign="middle" >−0.043</td><td align="center" valign="middle" >0.051</td><td align="center" valign="middle" >−0.092<sup>*</sup></td><td align="center" valign="middle" >0.057</td><td align="center" valign="middle" >0.032</td></tr><tr><td align="center" valign="middle" >P (2-tails)</td><td align="center" valign="middle" >0.658</td><td align="center" valign="middle" >0.336</td><td align="center" valign="middle" >0.250</td><td align="center" valign="middle" >0.039</td><td align="center" valign="middle" >0.202</td><td align="center" valign="middle" >0.477</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >pH</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >−0.095<sup>*</sup></td><td align="center" valign="middle" >−0.070</td><td align="center" valign="middle" >−0.681<sup>**</sup></td><td align="center" valign="middle" >−0.273<sup>**</sup></td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >P (2-tails)</td><td align="center" valign="middle" >0.034</td><td align="center" valign="middle" >0.120</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.701</td><td align="center" valign="middle" >0.990</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >OM</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >−0.081</td><td align="center" valign="middle" >0.038</td><td align="center" valign="middle" >0.207<sup>**</sup></td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.282<sup>**</sup></td></tr><tr><td align="center" valign="middle" >P (2-tails)</td><td align="center" valign="middle" >0.072</td><td align="center" valign="middle" >0.398</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.970</td><td align="center" valign="middle" >0.986</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sand</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >−0.089<sup>*</sup></td><td align="center" valign="middle" >0.085</td><td align="center" valign="middle" >−0.005</td><td align="center" valign="middle" >−0.279<sup>**</sup></td><td align="center" valign="middle" >−0.123<sup>**</sup></td><td align="center" valign="middle" >0.138<sup>**</sup></td></tr><tr><td align="center" valign="middle" >P (2-tails)</td><td align="center" valign="middle" >0.047</td><td align="center" valign="middle" >0.057</td><td align="center" valign="middle" >0.909</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Silt</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >−0.021</td><td align="center" valign="middle" >−0.050</td><td align="center" valign="middle" >0.066</td><td align="center" valign="middle" >−0.009</td><td align="center" valign="middle" >0.113<sup>*</sup></td><td align="center" valign="middle" >−0.041</td></tr><tr><td align="center" valign="middle" >P (2-tails)</td><td align="center" valign="middle" >0.640</td><td align="center" valign="middle" >0.265</td><td align="center" valign="middle" >0.140</td><td align="center" valign="middle" >0.844</td><td align="center" valign="middle" >0.012</td><td align="center" valign="middle" >0.362</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Clay</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >0.114<sup>*</sup></td><td align="center" valign="middle" >−0.051</td><td align="center" valign="middle" >−0.049</td><td align="center" valign="middle" >0.311<sup>**</sup></td><td align="center" valign="middle" >0.041</td><td align="center" valign="middle" >−0.116<sup>**</sup></td></tr><tr><td align="center" valign="middle" >P (2-tails)</td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >0.253</td><td align="center" valign="middle" >0.274</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.358</td><td align="center" valign="middle" >0.009</td></tr></tbody></table></table-wrap><p>** or *, indicates significant difference at P &lt; 0.01 or P &lt; 0.05, respectively.</p></sec></sec><sec id="s4"><title>4. Discussions</title><p>This study shows that the contents of soil microelements are high in the tobacco fields in Liupanshui, which are similar to the previous studies [<xref ref-type="bibr" rid="scirp.115725-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref15">15</xref>], and indicate most of the tobacco fields are sufficient in soil microelements. The high contents of soil microelements in Liupanshui could be attributed to that it is a well-known region rich in mineral resources (such as iron, zinc, copper, etc.) in southwest China.</p><p>This study also finds that there are significant differences in soil microelements in the tobacco fields between Zhongshan, Shuicheng and Panzhou. For example, Cu, Mo and Zn are the highest in Zhongshan, B and Fe are the highest in Shuicheng, and Mn is the highest in Panzhou. Usually, the types and amounts of fertilizers applied in the three regions are the same or very similar under the uniform technical standard for tobacco cultivation, and the years of tobacco planting is 37 years in Zhongshan, 51 years in Shuicheng and 72 years in Panzhou, therefore, it is difficult to explain the differences in soil microelements in the three regions from the perspective of fertilization and tobacco-planting years, which may suggest that it could be a combination of different factors.</p><p>As for the changes of soil microelements, it can be seen from <xref ref-type="table" rid="table6">Table 6</xref> that all the six microelements (B, Cu, Fe, Mn, Mo and Zn) show the decreasing trend from 2000 [<xref ref-type="bibr" rid="scirp.115725-ref14">14</xref>] to 2006 [<xref ref-type="bibr" rid="scirp.115725-ref15">15</xref>], decreased by 4.88%, 23.87%, 16.24%, 5.08%, 23.08% and 6.53%, respectively, which is possibly attributed to the seldom application of micro-fertilizers during this period. But from 2006 to 2021, only Cu shows a continuous decrease (decreased by 24.56%), all other microelements show the increasing trend, B, Fe, Mn, Mo and Zn are increased by 135.90%, 93.51%, 17.53%, 95.00% and 112.37%, respectively, which is possibly related to the application of micro-fertilizers (particularly of B, Mo and Zn fertilizers) during this period, anyhow, it is hard to explain accurately the increase of Fe since no Fe-fertilizer are used for the farmlands.</p><p><xref ref-type="table" rid="table7">Table 7</xref> lists the factors which could affect soil microelements as reported in the related literature [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] - [<xref ref-type="bibr" rid="scirp.115725-ref30">30</xref>]. In this study, altitude is significantly negatively correlated with Mn, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>], but contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>]. pH is significantly negatively correlated with B, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>]; pH is significantly negatively correlated with Fe, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref30">30</xref>], but contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>], and pH is significantly negatively correlated with Mn, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref30">30</xref>], but contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]. OM is significantly positively correlated with Fe, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref30">30</xref>], but contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>], and OM is significantly positively correlated with Zn, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>], but contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>]. Sand is significantly negatively correlated with Mn, which is contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref29">29</xref>], and sand is significantly positively correlated with Zn, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref29">29</xref>]. Clay is significantly positively correlated with Mn, which is consistent with the literature [<xref ref-type="bibr" rid="scirp.115725-ref29">29</xref>], but clay is significantly negatively correlated with Zn, which is contrary to the literature [<xref ref-type="bibr" rid="scirp.115725-ref29">29</xref>].</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Mean contents of soil microelements (mg&#183;kg<sup>−1</sup>) in different years</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Year</th><th align="center" valign="middle" >B</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Fe</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >Mo</th><th align="center" valign="middle" >Zn</th></tr></thead><tr><td align="center" valign="middle" >2000 [<xref ref-type="bibr" rid="scirp.115725-ref12">12</xref>]</td><td align="center" valign="middle" >0.41</td><td align="center" valign="middle" >4.44</td><td align="center" valign="middle" >41.01</td><td align="center" valign="middle" >42.36</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >1.99</td></tr><tr><td align="center" valign="middle" >2006 [<xref ref-type="bibr" rid="scirp.115725-ref13">13</xref>]</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >3.38</td><td align="center" valign="middle" >34.35</td><td align="center" valign="middle" >40.21</td><td align="center" valign="middle" >0.20</td><td align="center" valign="middle" >1.86</td></tr><tr><td align="center" valign="middle" >2021 (See <xref ref-type="table" rid="table2">Table 2</xref>)</td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >2.55</td><td align="center" valign="middle" >66.47</td><td align="center" valign="middle" >47.26</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >3.95</td></tr></tbody></table></table-wrap><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Correlation between other factors with microelements</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factor</th><th align="center" valign="middle" >Correlation</th><th align="center" valign="middle" >B</th><th align="center" valign="middle" >Cu</th><th align="center" valign="middle" >Fe</th><th align="center" valign="middle" >Mn</th><th align="center" valign="middle" >Mo</th><th align="center" valign="middle" >Zn</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Altitude</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >−</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >pH</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref25">25</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref19">19</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref19">19</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref25">25</xref>]</td></tr><tr><td align="center" valign="middle" >−</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>]</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >OM</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref28">28</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref25">25</xref>]</td></tr><tr><td align="center" valign="middle" >−</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref19">19</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref20">20</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sand</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td></tr><tr><td align="center" valign="middle" >−</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Clay</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.115725-ref27">27</xref>]</td></tr></tbody></table></table-wrap><p>+ or −, indicates significant positive or negative correlation, respectively.</p><p>This study shows that the proportion of tobacco fields deficient in microelements is relatively low in Liupanshui, which indicates that most tobacco fields do not need to apply micro-fertilizers. However, it should also be noted that there are still 10.40%, 9.40%, 7.40%, 2.80% and 2.00% of tobacco fields insufficient in Mo, B, Cu, Zn and Mn, respectively, thus, corresponding micro-fertilizers should be applied in these fields, such as ammonium molybdate [<xref ref-type="bibr" rid="scirp.115725-ref31">31</xref>], holding boron [<xref ref-type="bibr" rid="scirp.115725-ref32">32</xref>], copper sulfate [<xref ref-type="bibr" rid="scirp.115725-ref33">33</xref>], macro-particle zinc [<xref ref-type="bibr" rid="scirp.115725-ref34">34</xref>], and manganese sulfate [<xref ref-type="bibr" rid="scirp.115725-ref35">35</xref>].</p><p>It should be pointed out that the assessment on the abundance or deficiency of microelements contents were based on the current grading standards in our study, although the results can generally guide the scientific application of micro-fertilizers, whether they are consistent with the actual demands for microelements of tobacco growth in Liupanshui city still remains to be verified by the practical effect of micro-fertilizer application in field experiments.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The study finds that the available contents of soil microelements (B, Cu, Fe, Mn, Mo, Zn) are generally high in the tobacco fields in Liupanshui city, and most fields do not need applying micro-fertilizers. The fields deficient in microelements are scattered in space and the corresponding micro-fertilizers should be applied. Altitude, pH, OM and particle size composition are significantly correlated with some soil microelements.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Wang, S.H., Zhang, C.D., Yang, W.G., Shang, J., Li, C.Q., Wang, Z.Y., Pan, W.J., Jiang, C.Y., Zeng, Y.T., Kong, X.Z. and Li, D.C. (2022) Available Contents and Spatial Distribution of Soil Microelements of Tobacco Fields in Liupanshui City. 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