<?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">AJPS</journal-id><journal-title-group><journal-title>American Journal of Plant Sciences</journal-title></journal-title-group><issn pub-type="epub">2158-2742</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajps.2021.1210103</article-id><article-id pub-id-type="publisher-id">AJPS-112387</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></subj-group></article-categories><title-group><article-title>
 
 
  Study on the Efficient Cutting Propagation Technology for &lt;i&gt;Ilex&lt;/i&gt; “China Girl”
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xiaobin</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>Yushu</surname><given-names>Lv</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>Shutang</surname><given-names>Xing</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>Gang</surname><given-names>Liu</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jingkai</surname><given-names>Sun</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>Yaqiong</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>Cairu</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>Xiaoyan</surname><given-names>Yu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>College of Horticulture Science and Engineering, Shandong Agricultural University, Tai’an, China</addr-line></aff><aff id="aff3"><addr-line>Shandong Hanlinyuan Ecological Technology Co. Ltd., Weihai, China</addr-line></aff><aff id="aff1"><addr-line>Forestry College of Shandong Agricultural University, Tai’an, China</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>10</month><year>2021</year></pub-date><volume>12</volume><issue>10</issue><fpage>1459</fpage><lpage>1467</lpage><history><date date-type="received"><day>30,</day>	<month>August</month>	<year>2021</year></date><date date-type="rev-recd"><day>15,</day>	<month>October</month>	<year>2021</year>	</date><date date-type="accepted"><day>18,</day>	<month>October</month>	<year>2021</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 International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  In order to realize the efficient industrial production of 
  Ilex “China Girl”, an orthogonal experiment with 4 factors and 3 levels was designed. Firstly, the optimal orthogonal cutting scheme was selected from 9 treatments. Then through the systematic analysis of the effects of cutting position, substrate, exogenous hormones type and concentration on rooting indexes, such as rooting rate, root number, root length and root effect index, the theoretical optimal scheme was predicted and verified. The results showed that the theoretical optimal scheme (3000 mg/L IBA treatment for 15 s, cutting in mixed matrix with peat soil, perlite and vermiculite ratio of 2:1:1) was the optimal 
  cutting rooting scheme of Ilex “China Girl”. After the treatment of this scheme, the rooting rate of 
  Ilex “China Girl” reached 100%, the average root number was 51.67 per plant, and the average root length was 6.13 cm. The rooting time was greatly shortened, the rooting rate and rooting effect were greatly improved. In this study, the efficient cutting propagation technology system of 
  Ilex “China Girl” was established, which laid a foundation for the popularization and application of 
  Ilex “China Girl”, and also provided reference for further improving the cutting propagation efficiency of other evergreen holly. This study laid a foundation for the application of 
  Ilex “China Girl”, and also provided a reference for further improving the cutting propagation efficiency of other evergreen holly.
 
</p></abstract><kwd-group><kwd>Evergreen Holly</kwd><kwd> &lt;i&gt;Ilex&lt;/i&gt; “China Girl”</kwd><kwd> Cutting Propagation</kwd><kwd> Rooting Index</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Evergreen holly has a broad landscape application prospect because of its high ornamental value, such as evergreen leaves, beautiful tree shape, bright fruit that does not fall in winter [<xref ref-type="bibr" rid="scirp.112387-ref1">1</xref>]. However, the cold resistance of most evergreen holly is poor, cultivated areas in China are mainly concentrated in Jiangsu Province and the south of Jiangsu Province [<xref ref-type="bibr" rid="scirp.112387-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref5">5</xref>]. A few evergreens holly such as Ilex cornuta, Ilex cornuta “fortunei” and Ilex crenata “convexa” can be used in gardens in Shandong Province and surrounding areas. However, their cold resistance is average, and they all suffered severe freezing damage in the extreme low temperature of −18˚C in winter of Shandong Province in 2015.</p><p>Ilex “China Girl” is an evergreen holly with strong cold resistance selected by our research group after years of adaptation studies. It is a hybrid of Ilex rugosa and Ilex cornuta. It is an evergreen shrub with beautiful leaf shape, bright green leaf color, beautiful fruit, full plant type and rapid growth. It can tolerate extreme low temperature of −18˚C in Shandong Province without freezing injury, and is especially suitable for application in Shandong Province and surrounding areas. Therefore, it is of great significance to establish an efficient cutting propagation technology system for Ilex “China Girl” to produce a large number of high-quality seedlings as soon as possible and apply them to improve the current situation of winter landscape depression in Shandong Province and surrounding areas.</p><p>The cutting propagation techniques of more than 40 evergreen holly species were systematically studied. It was found that the cutting difficulty of different holly species varied greatly, and the survival rate was 20% - 100% [<xref ref-type="bibr" rid="scirp.112387-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref9">9</xref>]. At present, only Tian Weili et al. conducted a preliminary study on the cutting survival rate of Ilex “China Girl”. After 60 days, the rooting rate was 61.75% - 82.75%, and the average rooting number was 5.63 - 9.33 per plant [<xref ref-type="bibr" rid="scirp.112387-ref6">6</xref>]. However, in order to realize the efficient industrial production of Ilex “China Girl” and produce a large number of high-quality seedlings rapidly, it is necessary to further shorten the rooting time of cutting and improve the rooting rate and root number of cuttings.</p><p>Therefore, Ilex “China Girl” was taken as the research object, and the effects of cutting position, substrate, exogenous hormone type and concentration on rooting indexes were systematically studied. The efficient cutting propagation technology system of Ilex “China Girl” was established, which laid the foundation for the application of Ilex “China Girl”, and also provided reference for further improving the cutting propagation efficiency of other evergreen holly.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Materials</title><p>The materials were Ilex “China Girl” introduced from Nanjing in April 2019, and planted in the seedling base of Fanzhen, Daiyue District, Tai’an City, Shandong Province.</p></sec><sec id="s2_2"><title>2.2. Methods</title><sec id="s2_2_1"><title>2.2.1. Materials Drawn</title><p>In early September 2020 and early June 2021, the current-year-old branches of Ilex “China Girl” with strong growth, no pests and diseases, consistent length and diameter were collected.</p></sec><sec id="s2_2_2"><title>2.2.2. Cutting Treatment</title><p>Each branch was cut into 9 cuttings, with 3 cuttings in each upper, middle and lower part. Each cutting contained 3 axillary buds and retained 2 upper leaves. Cut horizontally at 0.3 cm above axillary bud and obliquely at lower incision. The cuttings were immersed in 1000 times of 80% carbendazim WP for 15 min. Align the biological lower ends of sterilized cuttings downwards, each 60 into a bundle. The 2 cm base of the bundled cuttings was dipped in hormone solutions of different types and concentrations for 15 s (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s2_2_3"><title>2.2.3. Matrix Preparation</title><p>The perlite, peat soil and vermiculite were prepared according to <xref ref-type="table" rid="table1">Table 1</xref> and placed in the cutting bed. The day before cutting, sprayed water with a sprayer. On the day of cutting, 80% carbendazim 800 times liquid was sprayed by sprayer.</p></sec><sec id="s2_2_4"><title>2.2.4. Cutting</title><p>The biological lower end of the cuttings treated according to <xref ref-type="table" rid="table2">Table 2</xref> was obliquely inserted into the matrix. Cutting depth was 2 - 3 cm. Leaves didn’t contact</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Test factor level table</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Number</th><th align="center" valign="middle"  colspan="4"  >Factors</th></tr></thead><tr><td align="center" valign="middle" >A-hormone type</td><td align="center" valign="middle" >B-hormone concentration (mg/L)</td><td align="center" valign="middle" >C-cutting substrate</td><td align="center" valign="middle" >D-cutting position</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >NAA</td><td align="center" valign="middle" >1000</td><td align="center" valign="middle" >perlite</td><td align="center" valign="middle" >upper</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >IBA</td><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >Peat soil: perlite (1:1)</td><td align="center" valign="middle" >middle</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >NAA:IBA (2:3)</td><td align="center" valign="middle" >3000</td><td align="center" valign="middle" >Peat soil: perlite: vermiculite (2:1:1)</td><td align="center" valign="middle" >lower</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Cutting treatment scheme</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Treatment</th><th align="center" valign="middle"  colspan="4"  >Factors</th><th align="center" valign="middle"  rowspan="2"  >Combination of factors</th></tr></thead><tr><td align="center" valign="middle" >A</td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >D</td></tr><tr><td align="center" valign="middle" >T<sub>1</sub></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >A<sub>1</sub>B<sub>1</sub>C<sub>1</sub>D<sub>1</sub></td></tr><tr><td align="center" valign="middle" >T<sub>2</sub></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >A<sub>1</sub>B<sub>2</sub>C<sub>2</sub>D<sub>2</sub></td></tr><tr><td align="center" valign="middle" >T<sub>3</sub></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >A<sub>1</sub>B<sub>3</sub>C<sub>3</sub>D<sub>3</sub></td></tr><tr><td align="center" valign="middle" >T<sub>4</sub></td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >A<sub>2</sub>B<sub>1</sub>C<sub>2</sub>D<sub>3</sub></td></tr><tr><td align="center" valign="middle" >T<sub>5</sub></td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >A<sub>2</sub>B<sub>2</sub>C<sub>3</sub>D<sub>1</sub></td></tr><tr><td align="center" valign="middle" >T<sub>6</sub></td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >A<sub>2</sub>B<sub>3</sub>C<sub>1</sub>D<sub>2</sub></td></tr><tr><td align="center" valign="middle" >T<sub>7</sub></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >A<sub>3</sub>B<sub>1</sub>C<sub>3</sub>D<sub>2</sub></td></tr><tr><td align="center" valign="middle" >T<sub>8</sub></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >A<sub>3</sub>B<sub>2</sub>C<sub>1</sub>D<sub>3</sub></td></tr><tr><td align="center" valign="middle" >T<sub>9</sub></td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >A<sub>3</sub>B<sub>3</sub>C<sub>2</sub>D<sub>1</sub></td></tr><tr><td align="center" valign="middle" >T<sub>L</sub></td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >A<sub>2</sub>B<sub>3</sub>C<sub>3</sub>D<sub>3</sub></td></tr></tbody></table></table-wrap><p>each other. After cutting, the matrix around the cutting hole was compacted, so that the cutting and matrix were closely contacted. Each treatment had 60 cuttings, and the experiment was repeated three times. It should be noted that 9 treatments (T<sub>1</sub> - T<sub>9</sub>) were carried out in September 2020, and 2 treatments (T<sub>3</sub> and T<sub>L</sub>) were carried out in June 2021.</p></sec><sec id="s2_2_5"><title>2.2.5. Post-Cutting Management</title><p>After cutting, 1000 times of carbendazim was sprayed once. After that, 1000 times of carbendazim was sprayed once a week for three times. Automatic timing spray equipment was used to adjust the temperature and air humidity during cutting, so that the temperature in the cutting shed was maintained at 20˚C - 38˚C, and the humidity was maintained at more than 80%.</p></sec><sec id="s2_2_6"><title>2.2.6. Rooting Index Observation</title><p>The base of cuttings treated by different schemes was observed every 10 days after cutting. The rooting rate, root number, root length and root effect index (average root length &#215; average root number/number of cuttings) of 30 cuttings randomly selected were counted at 50 d and 60 d after cutting. It should be noted that 9 treatments (T<sub>1</sub> - T<sub>9)</sub> in September 2020 were only counted once at 60 d after cutting, and 2 treatments (T<sub>3</sub> and T<sub>L</sub>) in June 2021 were counted once at 50 d and 60 d after cutting.</p></sec><sec id="s2_2_7"><title>2.2.7. Data Statistical Analysis</title><p>Data statistical analyses were performed using SPSS 26 software.</p></sec></sec></sec><sec id="s3"><title>3. Results and Analysis</title><sec id="s3_1"><title>3.1. Selection of Optimal Orthogonal Scheme</title><p>As shown in <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref>, the rooting rates of T<sub>3</sub>, T<sub>5</sub>, T<sub>7</sub> and T<sub>9</sub> treatments were 100%. The average root number of T<sub>3</sub> treatment was the highest (49.33 &#177; 6.17/plant), and the root effect index was the highest (16.20 &#177; 2.97). Although the average root length of T<sub>3</sub> treatment was only 4.95 &#177; 0.36 cm, the</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Rooting indexes of Ilex “China Girl” under 9 treatments (September 2020)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >No.</th><th align="center" valign="middle" >Treatment</th><th align="center" valign="middle" >Rooting rate/%</th><th align="center" valign="middle" >Average number of roots</th><th align="center" valign="middle" >Average length of roots/cm</th><th align="center" valign="middle" >Root effect index</th></tr></thead><tr><td align="center" valign="middle" >T<sub>1</sub></td><td align="center" valign="middle" >A<sub>1</sub>B<sub>1</sub>C<sub>1</sub>D<sub>1</sub></td><td align="center" valign="middle" >51.11 &#177; 3.85D</td><td align="center" valign="middle" >6.00 &#177; 1.58D</td><td align="center" valign="middle" >2.27 &#177; 0.71C</td><td align="center" valign="middle" >0.95 &#177; 0.12E</td></tr><tr><td align="center" valign="middle" >T<sub>2</sub></td><td align="center" valign="middle" >A<sub>1</sub>B<sub>2</sub>C<sub>2</sub>D<sub>2</sub></td><td align="center" valign="middle" >98.33 &#177; 2.89A</td><td align="center" valign="middle" >45.67 &#177; 5.51A</td><td align="center" valign="middle" >4.52 &#177; 1.31AB</td><td align="center" valign="middle" >14.07 &#177; 2.58AB</td></tr><tr><td align="center" valign="middle" >T<sub>3</sub></td><td align="center" valign="middle" >A<sub>1</sub>B<sub>3</sub>C<sub>3</sub>D<sub>3</sub></td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >49.33 &#177; 6.17A</td><td align="center" valign="middle" >4.95 &#177; 0.36AB</td><td align="center" valign="middle" >16.20 &#177; 2.97A</td></tr><tr><td align="center" valign="middle" >T<sub>4</sub></td><td align="center" valign="middle" >A<sub>2</sub>B<sub>1</sub>C<sub>2</sub>D<sub>3</sub></td><td align="center" valign="middle" >90.00 &#177; 3.33B</td><td align="center" valign="middle" >19.00 &#177; 3.61C</td><td align="center" valign="middle" >5.83 &#177; 0.76A</td><td align="center" valign="middle" >7.33 &#177; 1.34C</td></tr><tr><td align="center" valign="middle" >T<sub>5</sub></td><td align="center" valign="middle" >A<sub>2</sub>B<sub>2</sub>C<sub>3</sub>D<sub>1</sub></td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >22.33 &#177; 4.62B</td><td align="center" valign="middle" >4.17 &#177; 2.31AB</td><td align="center" valign="middle" >6.50 &#177; 1.37C</td></tr><tr><td align="center" valign="middle" >T<sub>6</sub></td><td align="center" valign="middle" >A<sub>2</sub>B<sub>3</sub>C<sub>1</sub>D<sub>2</sub></td><td align="center" valign="middle" >84.45 &#177; 3.85B</td><td align="center" valign="middle" >23.67 &#177; 1.59B</td><td align="center" valign="middle" >3.83 &#177; 0.29B</td><td align="center" valign="middle" >6.11 &#177; 1.25C</td></tr><tr><td align="center" valign="middle" >T<sub>7</sub></td><td align="center" valign="middle" >A<sub>3</sub>B<sub>1</sub>C<sub>3</sub>D<sub>2</sub></td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >29.67 &#177; 4.29B</td><td align="center" valign="middle" >5.90 &#177; 0.57A</td><td align="center" valign="middle" >11.67 &#177; 1.89B</td></tr><tr><td align="center" valign="middle" >T<sub>8</sub></td><td align="center" valign="middle" >A<sub>3</sub>B<sub>2</sub>C<sub>1</sub>D<sub>3</sub></td><td align="center" valign="middle" >73.33 &#177; 6.67C</td><td align="center" valign="middle" >16.67 &#177; 1.21C</td><td align="center" valign="middle" >2.63 &#177; 0.98C</td><td align="center" valign="middle" >3.37 &#177; 0.50D</td></tr><tr><td align="center" valign="middle" >T<sub>9</sub></td><td align="center" valign="middle" >A<sub>3</sub>B<sub>3</sub>C<sub>2</sub>D<sub>1</sub></td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >19.33 &#177; 3.06C</td><td align="center" valign="middle" >5.50 &#177; 1.32A</td><td align="center" valign="middle" >7.09 &#177; 2.18C</td></tr></tbody></table></table-wrap><p>difference was not significant compared with that of T<sub>7</sub> treatment (5.90 &#177; 0.57 cm/plant) with the longest average root length. Therefore, T<sub>3</sub> treatment (A1B3C3D3), i.e., the lower cuttings were dipped in 3000 mg/L NAA solution for 15 s, and cut in mixed matrix with peat soil, perlite and vermiculite ratio of 2:1:1, was the optimal solution in 9 treatments (T<sub>1</sub> - T<sub>9</sub>).</p></sec><sec id="s3_2"><title>3.2. Prediction of Optimal Theoretical Scheme</title><sec id="s3_2_1"><title>3.2.1. Effects of Hormone Type on Rooting Indexes</title><p>As shown in <xref ref-type="table" rid="table4">Table 4</xref>, the rooting rate of cuttings treated with IBA alone was the highest and significantly higher than that treated with NAA alone. The average number of roots treated with NAA alone was the highest and significantly higher than that treated with IBA alone and NAA: IBA (2:3). Many researchers generally believed that rooting rate was the most important in four rooting indexes. So IBA was the best rooting hormone.</p></sec><sec id="s3_2_2"><title>3.2.2. Effects of Hormone Concentration on Rooting Indexes</title><p>As shown in <xref ref-type="table" rid="table4">Table 4</xref>, the rooting rate and average root number of cuttings treated with 3000 mg/L hormone were the highest and significantly higher than those treated with 1000 mg/L hormone. Therefore, the optimal rooting hormone concentration was 3000 mg/L.</p></sec><sec id="s3_2_3"><title>3.2.3. Effects of Substrate Type on Rooting Indexes</title><p>As shown in <xref ref-type="table" rid="table4">Table 4</xref>, all rooting indexes of peat soil: perlite: vermiculite (2:1:1) were the highest, and 4 indexes were significantly higher than perlite, 2 indexes were significantly higher than peat soil: perlite (1:1). Therefore, the optimal cutting substrate was peat soil: perlite: vermiculite (2:1:1).</p><p>In addition, by comparing the range values of different rooting indexes under different influencing factors, it was found that the matrix type had the greatest impact on all rooting indexes (R = 30.37), followed by hormone concentration (R = 14.45), and then the cutting position (R = 10.56) and hormone type (R = 8.34). Therefore, matrix type was the most important factor affecting rooting</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Multiple comparison and extreme difference analysis of orthogonal experiment (September 2020)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factors</th><th align="center" valign="middle" >Levels</th><th align="center" valign="middle" >Rooting rate/%</th><th align="center" valign="middle" >Average number of root</th><th align="center" valign="middle" >Average length of root/cm</th><th align="center" valign="middle" >Root effect index</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >A-hormone type</td><td align="center" valign="middle" >NAA</td><td align="center" valign="middle" >83.15b</td><td align="center" valign="middle" >33.67a</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >IBA</td><td align="center" valign="middle" >91.48a</td><td align="center" valign="middle" >21.89b</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >NAA:IBA(2:3)</td><td align="center" valign="middle" >91.11a</td><td align="center" valign="middle" >21.67b</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >R</td><td align="center" valign="middle" >8.34</td><td align="center" valign="middle" >12.00</td><td align="center" valign="middle" >1.10</td><td align="center" valign="middle" >3.76</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >B-hormone concentration</td><td align="center" valign="middle" >1000</td><td align="center" valign="middle" >80.37b</td><td align="center" valign="middle" >18.22b</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >2000</td><td align="center" valign="middle" >90.56a</td><td align="center" valign="middle" >28.22a</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >3000</td><td align="center" valign="middle" >94.82a</td><td align="center" valign="middle" >30.78a</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >R</td><td align="center" valign="middle" >14.45</td><td align="center" valign="middle" >12.55</td><td align="center" valign="middle" >1.23</td><td align="center" valign="middle" >2.47</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >C-substrate</td><td align="center" valign="middle" >perlite</td><td align="center" valign="middle" >69.63b</td><td align="center" valign="middle" >15.44c</td><td align="center" valign="middle" >2.91b</td><td align="center" valign="middle" >3.48c</td></tr><tr><td align="center" valign="middle" >Peat soil:perlite (1:1)</td><td align="center" valign="middle" >96.11a</td><td align="center" valign="middle" >28.00b</td><td align="center" valign="middle" >5.28a</td><td align="center" valign="middle" >9.50b</td></tr><tr><td align="center" valign="middle" >Peat soil:perlite:vermiculite (2:1:1)</td><td align="center" valign="middle" >100.00a</td><td align="center" valign="middle" >33.78a</td><td align="center" valign="middle" >5.34a</td><td align="center" valign="middle" >12.14a</td></tr><tr><td align="center" valign="middle" >R</td><td align="center" valign="middle" >30.37</td><td align="center" valign="middle" >18.33</td><td align="center" valign="middle" >2.43</td><td align="center" valign="middle" >8.66</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >D-cutting position</td><td align="center" valign="middle" >upper</td><td align="center" valign="middle" >83.70c</td><td align="center" valign="middle" >15.89b</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >4.85b</td></tr><tr><td align="center" valign="middle" >middle</td><td align="center" valign="middle" >94.26a</td><td align="center" valign="middle" >28.33a</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >11.30a</td></tr><tr><td align="center" valign="middle" >lower</td><td align="center" valign="middle" >87.78b</td><td align="center" valign="middle" >33.00a</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >8.97a</td></tr><tr><td align="center" valign="middle" >R</td><td align="center" valign="middle" >10.56</td><td align="center" valign="middle" >17.12</td><td align="center" valign="middle" >1.10</td><td align="center" valign="middle" >6.45</td></tr></tbody></table></table-wrap><p>index, followed by hormone concentration.</p><p>In short, according to the results of multiple comparison and range analysis of orthogonal experiment, A<sub>2</sub>B<sub>3</sub>C<sub>3</sub>D<sub>2</sub>, that was, using 3000 mg/L IBA to treat middle cuttings for 15 s, cutting in peat soil: perlite: vermiculite (2:1:1) mixed matrix, was the best theoretical scheme for cutting rooting.</p></sec></sec><sec id="s3_3"><title>3.3. Verification of Optimal Theoretical Scheme</title><p>From June to August 2021, the rooting indexes of the optimal theoretical scheme T<sub>L</sub> and the optimal orthogonal scheme T<sub>3</sub> were observed regularly. It was found that all the rooting indexes of T<sub>L</sub> treatment were higher than those of T<sub>3</sub>, and the rooting indexes of 50 d after treatment were higher than those of 60 d after treatment (<xref ref-type="table" rid="table5">Table 5</xref>). Therefore, T<sub>L</sub> treatment (A<sub>2</sub>B<sub>3</sub>C<sub>3</sub>D<sub>2</sub>) was the best cutting rooting scheme.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>There are many factors affecting plant cutting propagation, including internal factors such as plant species (varieties), cutting age, sampling site, cutting specification, and external factors such as matrix, temperature, humidity, light, plant growth regulators [<xref ref-type="bibr" rid="scirp.112387-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref13">13</xref>]. The results showed that substrate type was</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Rooting indexes of T<sub>3</sub> treatment and T<sub>L</sub> treatment (June 2021)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Treatment</th><th align="center" valign="middle" >Combination of factors</th><th align="center" valign="middle" >Cutting time</th><th align="center" valign="middle" >Rooting rate/%</th><th align="center" valign="middle" >Average number of root</th><th align="center" valign="middle" >Average length of root/cm</th><th align="center" valign="middle" >Root effect index</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >T<sub>3</sub></td><td align="center" valign="middle"  rowspan="2"  >A<sub>1</sub>B<sub>3</sub>C<sub>3</sub>D<sub>3</sub></td><td align="center" valign="middle" >50d</td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >40.63 &#177; 5.28B</td><td align="center" valign="middle" >4.05 &#177; 0.22C</td><td align="center" valign="middle" >10.89 &#177; 1.65D</td></tr><tr><td align="center" valign="middle" >60d</td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >48.13 &#177; 5.43AB</td><td align="center" valign="middle" >5.25 &#177; 0.26B</td><td align="center" valign="middle" >16.09 &#177; 2.11C</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >T<sub>L</sub></td><td align="center" valign="middle"  rowspan="2"  >A<sub>2</sub>B<sub>3</sub>C<sub>3</sub>D<sub>2</sub></td><td align="center" valign="middle" >50d</td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >51.67 &#177; 5.48AB</td><td align="center" valign="middle" >6.13 &#177; 0.34AB</td><td align="center" valign="middle" >20.98 &#177; 2.53B</td></tr><tr><td align="center" valign="middle" >60d</td><td align="center" valign="middle" >100.00 &#177; 0.00A</td><td align="center" valign="middle" >59.48 &#177; 6.03A</td><td align="center" valign="middle" >7.26 &#177; 0.58A</td><td align="center" valign="middle" >28.56 &#177; 3.72A</td></tr></tbody></table></table-wrap><p>the most important factor affecting rooting index of Ilex “China Girl”, followed by hormone concentration.</p><p>Ideal cutting substrate should have good air permeability, moderate water retention and drainage, no bacterial infection, and certain fertility. However, different plants have different requirements for water retention and drainage [<xref ref-type="bibr" rid="scirp.112387-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref15">15</xref>]. In this study, four rooting indexes in the mixed matrix containing 50% peat soil were significantly higher than those in perlite for Ilex “China Girl”. This may be because Ilex “China Girl” requires relatively high substrate humidity, but the water retention of perlite cannot meet its requirements.</p><p>Exogenous hormone treatment can significantly improve the rooting rate and rooting effect of cutting, but the optimal hormone types and concentrations of different plants are different [<xref ref-type="bibr" rid="scirp.112387-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.112387-ref17">17</xref>]. In this study, it was found that IBA was the optimal rooting hormone for Ilex “China Girl”. When other treatments were the same as those in this study, the highest rooting rate of Ilex “China Girl” treated with ABT by Tian et al. was only 61.75%, and the average root number was only 8.61/plant [<xref ref-type="bibr" rid="scirp.112387-ref6">6</xref>]. In this study, the rooting rate was up to 100% and the number of roots was up to 45.67/plant after IBA treatment, which greatly improved the rooting rate and rooting effect of Ilex “China Girl”. In addition, this study also found that the effect of 2000 - 3000 mg/L hormone treatment was significantly better than 1000 mg/L hormone treatment, and with the increase of hormone concentration, the rooting rate and average root number were further improved. However, whether further increasing hormone concentration can further improve rooting rate and average root number still needs experimental verification.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In this study, the optimal cutting rooting scheme of “Chinese young girl” was developed, that is, using 3000 mg/L IBA to treat middle cuttings for 15 s, cutting in peat soil:perlite:vermiculite (2:1:1) mixed matrix. After the treatment, the cutting rooting time of Ilex “China Girl” was greatly shortened, and the rooting rate and rooting effect were greatly improved.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This study was invested by the Shandong Agricultural Seeds Engineering Project (2017LZN017).</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Wang, X.B., Lv, Y.S., Xing, S.T., Liu, G., Sun, J.K., Wang, Y.Q., Wang, C.R. and Yu, X.Y. (2021) Study on the Efficient Cutting Propagation Technology for Ilex “China Girl”. American Journal of Plant Sciences, 12, 1459-1467. https://doi.org/10.4236/ajps.2021.1210103</p></sec></body><back><ref-list><title>References</title><ref id="scirp.112387-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Song, X.-Q. and Zhang, D.-L. (2020) Research on the Application of Ilex Plants in American Garden Landscape. Journal of Anhui Agricultural Sciences, 48, 108-110.</mixed-citation></ref><ref id="scirp.112387-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Zeng, W., Jin. X.L., Xing. W. and Hu, M.Y. (2016) Comparison of Cold Resistance among Nine Evergreen Ilex Cultivars. Plant Physiology Journal, 52, 55-61.</mixed-citation></ref><ref id="scirp.112387-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, J.L., Xie, X.J., Jiao, Z.Y., Zhang, L. and Hao, R.M. (2005) The Comparison of Frozen Resistance of Several Tree Species of Ilex L. Acta Horticulturae Sinica, 32, 477-481.</mixed-citation></ref><ref id="scirp.112387-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Cui, Y.-W., Li, W.-M., Qian, Y.-P., Tian, R.-N. and Li, Y.-L. (2019) Evaluation of Cold Resistance and Physiological Response to Low Temperature on Five Kinds of Ilex Aquifolium. Journal of Biology, 36, 55-59.</mixed-citation></ref><ref id="scirp.112387-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Chai, Y.X., Zeng, W., Jin, X.L. and Cai, M.Y. (2017) Physiological Characteristics and Cold Hardiness between Male and Female Plants of Ilex Rotunda. Journal of Central South University of Forestry &amp; Technology, 37, 93-98.</mixed-citation></ref><ref id="scirp.112387-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Tian, W.L., Li, H.X., Zhang, Q., Fu, W.Q. and Zhang, L.M. (2017) Effects of Different Treatments on Cutting Rooting of Three Varieties of Holly. Journal of Fujian Forestry Science and Technology, 44, 99-101, 111.</mixed-citation></ref><ref id="scirp.112387-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Zhang, J.H., Xu, W.M. and Lu, M.X. (2002) Seedling Cultivation Technique by Cuttage ofIlex cornuta var. Fortunei. Journal of Zhejiang Forestry Science and Technology, 22, 100-101.</mixed-citation></ref><ref id="scirp.112387-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Jin, X.-L., Fu, J.-M., Zhang, D.-L., Du, H.-Y., Tian, Y.-C. and Zou, Y.-P. (2012) Adaptability and Cutting Propagation Technology of Ilex Cultivars. Journal of Central South University of Forestry &amp; Technology, 32, 7-10.</mixed-citation></ref><ref id="scirp.112387-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Tsaktsira, M., Alevropoulos, A., Tsoulpha, P., Scaltsoyiannes, V., Scaltsoyiannes, A. and Iliev, I. (2018) Inter- and Intra-Genetic Variation on Rooting Ability of Ilex Aquifoliuml Varieties and Cultivars. Propagation of Ornamental Plants, 18, 131-138.</mixed-citation></ref><ref id="scirp.112387-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Wilkerson, E.G., Grates, R.S., Zolnier, S., Kester, S.T. and Geneve, R.L. (2005) Transpiration Capacity in Poinsettia Cuttings at Different Rooting Stages and the Development of a Cuttings Coefficient for Scheduling Mist. American Society for Horticultural Science, 130, 295-301. https://doi.org/10.21273/JASHS.130.3.295</mixed-citation></ref><ref id="scirp.112387-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Wang, Q., Zhang, J., Zhong, C.L., Zhang, Y., Wei, Y.C. and Meng, J.X. (2020) Variation of Endogenesis Hormone and Nutritive Matter Concentration in Chukrasia tabularis Cuttings during Rooting. Journal of Central South University of Forestry &amp; Technology, 40, 111-119.</mixed-citation></ref><ref id="scirp.112387-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Wu, Y., Wang, G.B., Cao, F.L. and Zu, Y.G. (2016) Effects of Substrate, Cuttings and Root Promoting Agent on Rooting of Camptotheca acuminata. Journal of Nanjing Forestry University (Natural Sciences Edition), 40, 1-8.</mixed-citation></ref><ref id="scirp.112387-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Liang, X.C., Huang, S.D., Jiang, Y.M. and Zhao, C.M. (2021) Effects of Exogenous Hormones and Substrate on Cutting Rooting of Cryptocarya concinna. Chinese Agricultural Science Bulletin, 37, 24-29.</mixed-citation></ref><ref id="scirp.112387-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Chen, W.J., Qu, L.F., Han, J.S. and Yang, M. (2019) Effects of Base Material, Cutting Position and Rooting Angets on Cutting Rooting of Liriodendronsion americanum. Journal of Inner Mongolia Agricultural University (Natural Science Edition), 40, 24-28.</mixed-citation></ref><ref id="scirp.112387-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Qin, A.L., Jian, Z.J., Ma, F.Q., Guo, Q.S. and Zheng, X.K. (2018) Effects of the Mother Tree Age, Growth Regulator, Containers and Substrates on Softwood Cutting Propagation of Thuja sutchuenensis. Scientia silvae sinicae, 54, 40-50.</mixed-citation></ref><ref id="scirp.112387-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Ma, S.J., Peng, T.L., Yu, Y., Liu, Y., Li, C. and Wang, J. (2020) Effect of Plant Hormones and Magnetic Field on Rooting of Soft Cuttings for Catalpa bungei. Journal of Northeast Forestry University, 48, 21-24.</mixed-citation></ref><ref id="scirp.112387-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Liu, H., Song, X.B., Zhou, N.F., Ma, Q.G. and Pei, D. (2017) Adventitious Root Formation with IBA and Endogenous Hormones Dynamicsin Walnut Soft-Cutting. Journal of Zhejiang A &amp; F University, 34, 1038-1043.</mixed-citation></ref></ref-list></back></article>