<?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.2018.98069</article-id><article-id pub-id-type="publisher-id">AS-86762</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>
 
 
  Effects of Drought Stress Simulated by Polyethylene Glycol on Seed Germination, Root and Seedling Growth, and Seedling Antioxidant Characteristics in Job’s Tears
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Can</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>Lingbo</surname><given-names>Zhou</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>Guobing</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>Yan</surname><given-names>Xu</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>Xu</surname><given-names>Gao</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>Ne</surname><given-names>Jiang</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>Liyi</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>Mingbo</surname><given-names>Shao</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>563189433@qq.com(MS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>09</day><month>08</month><year>2018</year></pub-date><volume>09</volume><issue>08</issue><fpage>991</fpage><lpage>1006</lpage><history><date date-type="received"><day>3,</day>	<month>August</month>	<year>2018</year></date><date date-type="rev-recd"><day>18,</day>	<month>August</month>	<year>2018</year>	</date><date date-type="accepted"><day>21,</day>	<month>August</month>	<year>2018</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>
 
 
  Two Job’s tears cultivars, yy18-1 (high resistance to drought stress) and yy12-7 (susceptible to drought stress) were used to investigate the responses of seed germination, root and seedling growth, and seedling antioxidant characteristics to drought stress simulated by polyethylene glycol (PEG) 6000 solutions with 0, -0.05, -0.1, -0.15, and -0.2 MPa osmotic potentials. The results showed that the germination energy, germination rate, germination index, root and seedling lengths, root and seedling diameters, root and seedling fresh masses, root and seedling dry masses, and seedling relative water content (RWC) decreased with the decrease of the osmotic potential of PEG 6000 solution. The contents of hydrogen peroxide (H
  <sub>2</sub>O
  <sub>2</sub>), malondialdehyde (MDA), and proline in seedling increased with the decrease of the osmotic potential of PEG 6000 solution. The activities of peroxidase (POD), catalase (CAT), ascorbate peroxidase (APX), and glutathione reductase (GR) in seedling increased and then decreased with the decrease of osmotic potential of PEG 6000 solution. -0.1 MPa was the optimal osmotic potential of PEG 6000 solution simulated drought stress at germination stage for Job’s tears. The proline content and activities of POD and CAT were important mechanisms for the maintenance of drought resistance in Job’s tears seedling.
 
</p></abstract><kwd-group><kwd>Antioxidant Characteristics</kwd><kwd> Drought Stress</kwd><kwd> Germination</kwd><kwd> Growth</kwd><kwd> Job’s Tears</kwd><kwd> Polyethylene Glycol</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Job’s tears (Coxi lacryma-jobi L.) belongs to the Coix of Gramineae, which has a long cultivation history as a traditional Chinese herbal medicine. It is widely cultivated in some Asian countries including China, Japan, Korea, Philippines, Thailand, Vietnam, and Burma. China is the largest producer of Job’s tears, especially Guizhou province in southwest China [<xref ref-type="bibr" rid="scirp.86762-ref1">1</xref>] . Job’s tears has been praised as the king of Gramineae crops due to its high nutritional value. It is rich in protein, essential amino acid, vitamins, minerals, dietary fibre, fatty acid, carbohydrates, oligosaccharides, coixenolide, and coixol, which is used as porridge, flour, noodle, or drink [<xref ref-type="bibr" rid="scirp.86762-ref2">2</xref>] . Besides, Job’s tears can be used to defend against cancer, cure warts, suppress colon carcinogenesis, regulate blood sugar level, cure chronic diarrhea, cure dermatophytosis, prevent gallstone formation, cure edema, and clear heat [<xref ref-type="bibr" rid="scirp.86762-ref3">3</xref>] .</p><p>Drought is one of the most devastating environmental stresses, which is a major environmental factor contributing to the reduction in growth, development and production of crops. It has been estimated that over 26% of cultivated lands worldwide are affected by drought [<xref ref-type="bibr" rid="scirp.86762-ref4">4</xref>] . Germination is one of the most important stages in the crop life cycle and resistance against drought during the germination makes a crop stable [<xref ref-type="bibr" rid="scirp.86762-ref5">5</xref>] . Drought stress is responsible for both inhibition or delayed seed germination and seedling establishment. The first symptom of drought stress is rapid inhibition of shoot and, to a lesser extent, root growth [<xref ref-type="bibr" rid="scirp.86762-ref6">6</xref>] . The production of reactive oxygen species (ROS) such as hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), super oxide ( O 2 − ) , and hydroxyl radical (OH<sup>−</sup>) can disrupt normal metabolism in drought stress through oxidative damage to lipids, proteins and nucleic acids [<xref ref-type="bibr" rid="scirp.86762-ref7">7</xref>] . The antioxidant defense system is present in the plant cells for ROS detoxification constitutes both antioxidant enzymes and non-enzyme antioxidant metabolites. Antioxidant enzymes contain superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), ascorbate peroxidase (APX), and glutathione reductase (GR). Non-enzyme antioxidant metabolites include ascorbic acid, reduced glutathione, carotenoids, and flavonoids [<xref ref-type="bibr" rid="scirp.86762-ref8">8</xref>] . In drought resistance, high contents of non-enzyme antioxidant metabolites and activities of antioxidant enzymes are important.</p><p>Polyethylene glycol (PEG) is a group of neutral osmotically active polymers with a certain molecular weight, which is inert, no-ionic, virtually impermeable to cell membranes, and can induce uniform water stress without causing direct physiological damage [<xref ref-type="bibr" rid="scirp.86762-ref9">9</xref>] . It has been widely used to study crops response to drought stress during germination stage [<xref ref-type="bibr" rid="scirp.86762-ref10">10</xref>] . The adverse effects of drought stress on seed germination, root growth, and seedling growth have been well reported in various crops such as sorghum, pinto bean, and wheat [<xref ref-type="bibr" rid="scirp.86762-ref11">11</xref>] . However, little is known about the effect of drought stress on germination in Job’s tears, especially regarding drought stress simulated by PEG. In the present work, five different concentrations of PEG were used to imitate different levels of drought stress in two different cultivars of Job’s tears. Changes in seed germination parameters, root and seedling growth parameters, and seedling antioxidant characteristics of seedling were examined and compared in two Job’s tears cultivars. A greater understanding of that information can provide a theoretical basis for the researches on drought resistance identification, drought resistance indices screening, drought resistance cultivar breeding, drought resistance mechanism, and drought regulation and alleviation mechanism in Job’s tears.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Plant Materials and Chemicals</title><p>The PEG 6000 was purchased from Shanghai Sangon Biotechnology Co., Ltd, Shanghai, China. The plant materials were two Job’s tears cultivars with different drought resistance; yy18-1 is high resistance to drought stress with black seed coat and yy12-7 is susceptible to drought stress with white seed coat, which were approved by the Guizhou Crop Cultivar Approval Committee (Guiyang, Guizhou Province, China) in 2016. Seeds of Job’s tears cultivars were kindly provided by Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China.</p></sec><sec id="s2_2"><title>2.2. Experimental Design</title><p>The experiments were conducted as completely randomized design with three replications at the Institute of Upland Food Crops, Guizhou Academy of Agricultural Sciences, Guiyang, China (26.53˚N, 106.71˚E). Seeds of three Job’s tears cultivars were surface sterilized with 0.1% (w/v) HgCl<sub>2</sub> for about 8 min and then rinsed five times with sterile distilled water. Next, seed soaking with PEG 6000 solutions with 0 (CK), −0.05 (T1), −0.1 (T2), −0.15 (T3), and −0.2 (T4) MPa osmotic potentials were applied for 24 h before germinated. Osmotic potentials were produced by PEG6000 solutions of 0, 50, 80, 100, and 120 g∙L<sup>−1</sup> according to equation supplied by Michel and Kaufmann [<xref ref-type="bibr" rid="scirp.86762-ref12">12</xref>] . Fifty seeds were placed in sterilized plastic trays (24 cm &#215; 24 cm &#215; 12 cm) covered at the bottom with three layers of filter paper that had been autoclaved. The plastic trays were supplied with 5 mL of tested osmotic solutions (PEG 6000 solutions, osmotic potentials of 0, −0.05, −0.1, −0.15, and −0.2 MPa). Germination tests were carried out in a controlled growth chamber (RXZ-1000B, Ningbo Southeast Instrument Co., Ltd, Ningbo, China) at 25 ˚C &#177; 1˚C with 12 h light (340 μmol∙m<sup>−2</sup>∙s<sup>−</sup><sup>1</sup>) and 12 h dark photo-cycle. The relative humidity was maintained at 85% to prevent high evaporation of the medium. A further 1 mL of tested osmotic solutions was added daily to each plastic tray.</p></sec><sec id="s2_3"><title>2.3. Determination of Germination Parameters</title><p>Seeds were considered germinated when the radicle was at least 1 mm length. The number of germinated seeds was recorded daily. The germination energy was calculated as N<sub>4</sub>/N &#215; 100% and the germination rate was calculated as N<sub>8</sub>/N &#215; 100%, where N<sub>4</sub> is the number of germinated seeds at 4 days, N<sub>8</sub> is the number of germinated seeds at 8 days, and N is the total number of tested seeds. The germination index was calculated as nd<sub>2</sub> + 0.75nd<sub>4</sub> + 0.50nd<sub>6</sub> + 0.25nd<sub>8</sub> according to Qin et al. [<xref ref-type="bibr" rid="scirp.86762-ref13">13</xref>] , where nd<sub>2</sub>, nd<sub>4</sub>, nd<sub>6</sub>, and nd<sub>8</sub> are the germination rate at 2, 4, 6, and 8 days, respectively.</p></sec><sec id="s2_4"><title>2.4. Determination of Growth Parameters</title><p>Plants were harvested after 10 days of drought stress treatments and five plants were selected randomly from each plastic tray. The seedling length refers to the distance from the seedling base to the top of seedling. The root length refers to the distance from the taproot base to the top of taproot. The diameters of seedling and root were measured with a digital caliper having accuracy of 0.001 mm. The fresh masses of seedling and root were the fresh weights of seedling and root, respectively. The dry masses of seedling and root were measured after drying in an oven at 80˚C for 24 h.</p></sec><sec id="s2_5"><title>2.5. Determination of Relative Water Content (RWC)</title><p>Five seedlings were collected randomly from each plastic tray after 10 days of drought stress treatments and the fresh mass (FM) was determined, followed by flotation on distilled water for 12 hat room temperature. The hydrated seedling tissues were weighed to determine the turgid mass (TM). The seedling tissues were subsequently dried in an oven at 80˚C for 24 h and weighed to determine the dry masse (DW). The RWC was calculated as [(FM − DM)/(TM − DM)] &#215; 100% according to Smart and Bingham [<xref ref-type="bibr" rid="scirp.86762-ref14">14</xref>] .</p></sec><sec id="s2_6"><title>2.6. Determination of H<sub>2</sub>O<sub>2</sub>, Malondialdehyde (MDA), and Proline Contents</title><p>H<sub>2</sub>O<sub>2</sub> content was assayed according to the method of Gietler et al. [<xref ref-type="bibr" rid="scirp.86762-ref15">15</xref>] . 0.5 g of seedling were collected after 10 days of drought stress treatments and homogenized with a pestle in a mortar, which contained 5 mL of 50 mM phosphate buffer (pH 6.5). The homogenate was centrifuged at 6000&#215; g for 25 min. The supernatant was mixed with 0.1% (w/v) titanium chloride and 20% (v/v) H<sub>2</sub>SO<sub>4</sub>, and then centrifuged at 6000&#215; g for 15 min. The absorbance of the titanium peroxide complex at 410 nm was measured and H<sub>2</sub>O<sub>2</sub> content was calculated using an extinction coefficient of 0.28 &#181;M<sup>−1</sup>∙cm<sup>−1</sup>.</p><p>MDA content was assayed according to the method of Akcay et al. [<xref ref-type="bibr" rid="scirp.86762-ref6">6</xref>] . 0.5 g of seedling were collected after 10 days of drought stress treatments and homogenized with a pestle in a mortar, which contained 1mLof 5% (w/v) trichloroacetic acid. The homogenate was centrifuged at 12,000&#215; g for 15 min at room temperature. 0.2 mL of supernatant was mixed with 1 mL of 0.5% (w/v) thiobarbituric acid and 20% (w/v) trichloroacetic acid, and incubated in a water bath for 25 min at 96˚C. The reaction was stopped by placing the reaction tubes in an ice bath. Then the samples were centrifuged at 10,000&#215; g for 5 min. Absorbance of supernatant was measured at 532 nm and the correction for non-specific turbidity was performed by subtracting the absorbance at 600 nm. MDA content was calculated using an extinction coefficient of 155 mM<sup>−1</sup>∙cm<sup>−1</sup>.</p><p>Proline content was assayed by a modification method of Bates et al. [<xref ref-type="bibr" rid="scirp.86762-ref16">16</xref>] . 0.5 g of seedling were collected after 10 days of drought stress treatments and homogenized with liquid nitrogen. The seedling powders were mixed with 1 mL of 3% (w/v) sulphosalicilic acid and centrifuged at 1000&#215; g for 5 min at 4˚C. 0.1 mL of supernatant was mixed with 0.1 mL of 3% (w/v) sulphosalicilic acid, 0.2 mL of 96% (v/v) acetic acid and 0.2 mL acid ninhydrin, and incubated in a water bath at 96 ˚C. After 1 h, the mixtures were mixed with 1 mL toluene and centrifuged at 1000&#215; g for 5 min at 4˚C. Absorbance of supernatant was measured at 520 nm and proline content was calculated using an extinction coefficient of 0.9986 mM<sup>−1</sup>∙cm<sup>−1</sup>.</p></sec><sec id="s2_7"><title>2.7. Determination of Enzymes Activities</title><p>Five seedlings were collected randomly from each plastic tray after 10 days of drought stress treatments and immediately frozen in liquid nitrogen for 30 min, then kept −60˚C for analysis of enzymes activities.</p><p>POD activity was assayed according to the method of Wang et al. [<xref ref-type="bibr" rid="scirp.86762-ref17">17</xref>] . 0.5 g of seedling samples were homogenized with a pestle in an ice-cold mortar, which contained 5 mL of 50 mM phosphate buffer (pH 5.5) and 0.2 g PVP. The homogenate was centrifuged at 3000&#215; g for 10 min at 4˚C. 0.1 mL of supernatant was mixed with 1 mL of 50 mM guaiacol, 2.9 mL of 50 mM phosphate buffer (pH 5.5), and 1 mL of 2% (v/v) H<sub>2</sub>O<sub>2</sub>, and incubated in a water bath at 37˚C. After 5 min, the absorbance at 470 nm was measured by a spectrophotometer. One unit of enzyme activity (U) was defined as a change of 0.01 in absorbance per h.</p><p>CAT activity was assayed by a modification method of Gong et al. [<xref ref-type="bibr" rid="scirp.86762-ref18">18</xref>] . 0.5 g of seedling samples were homogenized with a pestle in an ice-cold mortar, which contained 1 mL 50 mM Tris-HCl (pH 7.8). The homogenate was centrifuged at 10,000&#215; g for 10 min at 4˚C. 0.2 mL of homogenate was mixed with 3 mL of reaction mixture (50 mM potassium phosphate buffer, pH 7.7, 10 mM H<sub>2</sub>O<sub>2</sub>). After 30 min, the reaction was stopped by adding 20% (v/v) H<sub>2</sub>SO<sub>4</sub> and the residual hydrogen peroxide was titrated against potassium permanganate. Absorbance at 240 nm was measured by a spectrophotometer. One unit of enzyme activity (U) was defined as a change of 0.01 in absorbance per h.</p><p>APX activity was assayed by a modification method of Nakano et al. [<xref ref-type="bibr" rid="scirp.86762-ref19">19</xref>] . 0.5 g of seedling samples were homogenized with a pestle in an ice-cold mortar, which contained 5 mL of buffer (50 mM potassium phosphate buffer, pH 7.0, 2 mM ascorbate, 5 mM EDTA, 0.2 g PVP). The homogenate was centrifuged at 16,000&#215; g for 20 min at 4˚C. 30 &#181;L of supernatant was mixed with 0.97 mL of 0.1 mM H<sub>2</sub>O<sub>2</sub> and the absorbance at 290 nm was measured. One unit of enzyme activity (U) was defined as a change of 0.01 in absorbance per h.</p><p>GR activity was assayed according to the method of Akcay et al. [<xref ref-type="bibr" rid="scirp.86762-ref6">6</xref>] , with some modifications. 0.5 g of seedling samples were homogenized with a pestle in an ice-cold mortar, which contained 5 mL of buffer (100 mM potassium phosphate buffer, pH 7.8, 1% (w/v) PVP, 50% (v/v) Triton X-100, 0.1 mM EDTA). The homogenate was centrifuged at 10,000&#215; g for 30 min at 4˚C. 0.2 mL of supernatant was mixed with 3 mL of reaction mixture (200 mM potassium phosphate buffer, pH 7.5, 1.5 mM MgCl<sub>2</sub>, 0.2 mM EDTA, 25 &#181;M NADPH, 0.25 mM GSSH). The absorbance at 340 nm was measured was measured. One unit of enzyme activity (U) was defined as a change of 0.01 in absorbance per h.</p></sec><sec id="s2_8"><title>2.8. Statistical Analyses</title><p>Analysis of variance was performed with SPSS 19.0 software (Statistical Package for Social Sciences, SPSS Institute Inc., Illinois), and data from each sampling data were analyzed separately. Means were tested by least significant difference at the 5% probability level (LSD<sub>0.05</sub>).</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Seed Germination</title><p>Germination energy and germination rate of both cultivars were affected considerably by PEG treatments, and yy18-1 showed higher germination energy and germination rate than yy12-7 in the same PEG treatment (<xref ref-type="table" rid="table1">Table 1</xref>). It was observed that in all of cultivars there were decreases in germination energy and germination rate due to drought stress increment. Germination energy and germination rate of both cultivars significantly decreased when they were subjected to PEG6000 solution with below −0.1 MPa osmotic potential, but no significant changes were observed at the osmotic potential of −0.05 MPa. Retardations of germination energy and germination rate were clearer in yy12-7 when compared to yy18-1.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Effects of drought stress simulated by PEG on seed germination in Job’s tears</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cultivars</th><th align="center" valign="middle" >Treatments</th><th align="center" valign="middle" >Germination energy (%)</th><th align="center" valign="middle" >Germination rate (%)</th><th align="center" valign="middle" >Germination index</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >yy18-1</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >66.48 &#177; 1.25 a</td><td align="center" valign="middle" >94.45 &#177; 5.34 a</td><td align="center" valign="middle" >1.58 &#177; 0.14 a</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >62.06 &#177; 2.32 ab</td><td align="center" valign="middle" >87.02 &#177; 4.15 ab</td><td align="center" valign="middle" >1.47 &#177; 0.23 a</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >53.74 &#177; 1.87 b</td><td align="center" valign="middle" >75.04 &#177; 2.87 b</td><td align="center" valign="middle" >1.09 &#177; 0.05 b</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >39.10 &#177; 1.06 c</td><td align="center" valign="middle" >57.75 &#177; 2.39 c</td><td align="center" valign="middle" >0.86 &#177; 0.06 bc</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >26.75 &#177; 1.19 d</td><td align="center" valign="middle" >35.47 &#177; 2.01 d</td><td align="center" valign="middle" >0.77 &#177; 0.08 c</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >yy12-7</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >52.48 &#177; 2.41 a</td><td align="center" valign="middle" >84.31 &#177; 3.56 a</td><td align="center" valign="middle" >1.12 &#177; 0.16 a</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >42.96 &#177; 2.08 ab</td><td align="center" valign="middle" >47.72 &#177; 4.33 ab</td><td align="center" valign="middle" >1.01 &#177; 0.08 a</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >24.90 &#177; 0.86 c</td><td align="center" valign="middle" >33.08 &#177; 0.98 c</td><td align="center" valign="middle" >0.77 &#177; 0.04 b</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >10.44 &#177; 1.02 d</td><td align="center" valign="middle" >13.40 &#177; 1.56 d</td><td align="center" valign="middle" >0.57 &#177; 0.01 c</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >5.74 &#177; 0.54 d</td><td align="center" valign="middle" >9.66 &#177; 0.81 d</td><td align="center" valign="middle" >0.44 &#177; 0.02 c</td></tr></tbody></table></table-wrap><p>CK, T1, T2, T3, and T4 are polyethylene glycol 6000 solutions with 0, −0.05, −0.1, −0.15, and −0.2 MPa osmotic potentials, respectively. Data are presented as the mean &#177; standard error of three replicates. Values followed by different letters within a column are significantly different at the 5% probability level.</p><p>Germination index decreased with the decrease of the osmotic potential of PEG 6000 solution in both cultivars, and yy18-1 showed higher germination index than yy12-7 in the same PEG treatment (<xref ref-type="table" rid="table1">Table 1</xref>). Besides, there were significant differences between control and drought stress treatments except for the osmotic potential of −0.05 MPa for germination index in both cultivars. Compared with the control, the T1, T2, T3, and T4 treatments decreased the germination index by 6.77%, 30.66%, 45.67%, and 51.37%, respectively for yy18-1, and decreased that by 9.25%, 31.34%, 49.25%, and 60.30%, respectively for yy12-7.</p></sec><sec id="s3_2"><title>3.2. Root and Seedling Growth</title><p>Root length and root diameter of yy18-1 were higher than those of yy12-7 in the same PEG treatment, which showed decrease trends with the decrease of the osmotic potential of PEG 6000 solution in both cultivars (<xref ref-type="table" rid="table2">Table 2</xref>). There were significant differences between control and drought stress treatments except for the osmotic potential of −0.05 MPa for root length and root diameter in both cultivars. In addition, at the same drought stress treatment, compared with the control treatment, the decreasing amplitudes of root length and root diameter of yy12-7 were higher than those of yy18-1.</p><p>Root fresh mass and root dry mass of both cultivars were affected considerably by PEG 6000 solution treatments, and yy18-1 showed higher root fresh mass and root dry mass than yy12-7 in the same PEG treatment (<xref ref-type="table" rid="table2">Table 2</xref>). It was observed that in all of cultivars there were decreases in root fresh mass and root dry mass due to drought stress increment. Root fresh mass and root dry mass of both cultivars significantly decreased when they were subjected to PEG 6000 solution with below −0.1 MPa osmotic potential, but no significant changes were</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Effects of drought stress simulated by PEG on root growth in Job’s tears</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cultivars</th><th align="center" valign="middle" >Treatments</th><th align="center" valign="middle" >Root length (cm)</th><th align="center" valign="middle" >Root diameter (mm)</th><th align="center" valign="middle" >Root fresh mass (mg)</th><th align="center" valign="middle" >Root dry mass (mg)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >yy18-1</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >5.87 &#177; 0.58 a</td><td align="center" valign="middle" >5.36 &#177; 0.19 a</td><td align="center" valign="middle" >78.06 &#177; 3.28 a</td><td align="center" valign="middle" >30.88 &#177; 2.56 a</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >5.44 &#177; 0.17 ab</td><td align="center" valign="middle" >5.13 &#177; 0.27 ab</td><td align="center" valign="middle" >72.40 &#177; 4.78 ab</td><td align="center" valign="middle" >28.60 &#177; 1.77 ab</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >5.21 &#177; 0.24 b</td><td align="center" valign="middle" >5.06 &#177; 0.35 bc</td><td align="center" valign="middle" >57.03 &#177; 5.46 b</td><td align="center" valign="middle" >25.18 &#177; 0.98 bc</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >4.69 &#177; 0.35 bc</td><td align="center" valign="middle" >4.88 &#177; 0.41 cd</td><td align="center" valign="middle" >39.10 &#177; 3.24 c</td><td align="center" valign="middle" >22.88 &#177; 2.35 c</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >4.00 &#177; 0.31 c</td><td align="center" valign="middle" >4.38 &#177; 0.58 d</td><td align="center" valign="middle" >36.26 &#177; 5.37 c</td><td align="center" valign="middle" >19.32 &#177; 3.41 d</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >yy12-7</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >4.40 &#177; 0.42 a</td><td align="center" valign="middle" >4.68 &#177; 0.62 a</td><td align="center" valign="middle" >57.63 &#177; 6.54 a</td><td align="center" valign="middle" >17.72 &#177; 2.87 a</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >3.95 &#177; 0.25 ab</td><td align="center" valign="middle" >4.10 &#177; 0.33 ab</td><td align="center" valign="middle" >50.97 &#177; 7.86 a</td><td align="center" valign="middle" >15.92 &#177; 2.05 ab</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >3.59 &#177; 0.19 b</td><td align="center" valign="middle" >3.92 &#177; 0.06 b</td><td align="center" valign="middle" >31.64 &#177; 3.28 b</td><td align="center" valign="middle" >13.82 &#177; 1.25 b</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >3.21 &#177; 0.08 c</td><td align="center" valign="middle" >3.56 &#177; 0.18 c</td><td align="center" valign="middle" >27.99 &#177; 2.59 bc</td><td align="center" valign="middle" >9.51 &#177; 0.94 c</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >2.91 &#177; 0.16 c</td><td align="center" valign="middle" >3.34 &#177; 0.26 c</td><td align="center" valign="middle" >25.54 &#177; 4.24 c</td><td align="center" valign="middle" >4.45 &#177; 0.86 d</td></tr></tbody></table></table-wrap><p>CK, T1, T2, T3, and T4 are polyethylene glycol 6000 solutions with 0, −0.05, −0.1, −0.15, and −0.2 MPa osmotic potentials, respectively. Data are presented as the mean &#177; standard error of three replicates. Values followed by different letters within a column are significantly different at the 5% probability level.</p><p>observed at the osmotic potential of −0.05 MPa. Retardations of root fresh mass and root dry mass were clearer in yy12-7 when compared to yy18-1.</p><p>Seedling length and seedling diameter decreased with the decrease of the osmotic potential of PEG 6000 solution in both cultivars, and yy18-1 showed higher seedling diameter and seedling diameter than yy12-7 in the same PEG treatment (<xref ref-type="table" rid="table3">Table 3</xref>). There were significant differences between control and drought stress treatments except for the osmotic potential of −0.05 MPa for seedling diameter and seedling diameter in both cultivars. Besides, at the same drought stress treatment, compared with the control treatment, the decreasing amplitudes of seedling length and seedling diameter of yy12-7 were higher than those of yy18-1.</p><p>Seedling fresh mass and seedling dry mass of yy18-1 was higher than those of yy12-7 in the same PEG treatment, which showed decrease trends with the decrease of the osmotic potential of PEG 6000 solution in both cultivars (<xref ref-type="table" rid="table3">Table 3</xref>). There were significant differences between control and drought stress treatments except for the osmotic potential of −0.05 MPa for seedling fresh mass and seedling dry mass in both cultivars. In addition, at the same drought stress treatment, compared with the control treatment, the decreasing amplitudes of seedling fresh mass and seedling dry mass of yy12-7 were higher than those of yy18-1.</p></sec><sec id="s3_3"><title>3.3. RWC and Contents of H<sub>2</sub>O<sub>2</sub>, MDA, and Proline</title><p>Under no PEG treatment, both cultivars showed almost identical RWC (91.87% in yy18-1 and 90.32% in yy12-7). However, drought stress caused the deleterious effects in RWC of both yy18-1 and yy12-7 (<xref ref-type="table" rid="table4">Table 4</xref>). RWC of both cultivars significantly decreased when it was subjected to PEG 6000 solution with below −0.1</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Effects of drought stress simulated by PEG on seedling growth in Job’s tears</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cultivars</th><th align="center" valign="middle" >Treatments</th><th align="center" valign="middle" >Seedling length (cm)</th><th align="center" valign="middle" >Seedling diameter (mm)</th><th align="center" valign="middle" >Seedling fresh mass (mg)</th><th align="center" valign="middle" >Seedling dry mass (mg)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >yy18-1</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >11.38 &#177; 1.17 a</td><td align="center" valign="middle" >6.82 &#177; 0.74 a</td><td align="center" valign="middle" >127.58 &#177; 9.56 a</td><td align="center" valign="middle" >47.40 &#177; 5.97 a</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >11.14 &#177; 2.35 a</td><td align="center" valign="middle" >6.66 &#177; 0.26 ab</td><td align="center" valign="middle" >119.97 &#177; 8.34 ab</td><td align="center" valign="middle" >44.51 &#177; 3.37 a</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >10.34 &#177; 1.87 b</td><td align="center" valign="middle" >6.31 &#177; 0.17 b</td><td align="center" valign="middle" >110.60 &#177; 5.65 bc</td><td align="center" valign="middle" >37.39 &#177; 2.98 b</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >9.77 &#177; 0.24 c</td><td align="center" valign="middle" >5.78 &#177; 0.23 c</td><td align="center" valign="middle" >103.69 &#177; 7.43 cd</td><td align="center" valign="middle" >29.60 &#177; 3.05 c</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >8.99 &#177; 0.98 d</td><td align="center" valign="middle" >5.68 &#177; 0.31 c</td><td align="center" valign="middle" >93.59 &#177; 3.58 d</td><td align="center" valign="middle" >25.82 &#177; 4.04 c</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >yy12-7</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >9.01 &#177; 0.56 a</td><td align="center" valign="middle" >4.38 &#177; 0.08 a</td><td align="center" valign="middle" >85.18 &#177; 4.11 a</td><td align="center" valign="middle" >37.17 &#177; 2.18 a</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >8.47 &#177; 0.34 ab</td><td align="center" valign="middle" >4.14 &#177; 0.15 ab</td><td align="center" valign="middle" >77.27 &#177; 3.97 ab</td><td align="center" valign="middle" >31.60 &#177; 1.75 ab</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >7.95 &#177; 0.81 b</td><td align="center" valign="middle" >4.04 &#177; 0.86 bc</td><td align="center" valign="middle" >66.32 &#177; 4.08 b</td><td align="center" valign="middle" >26.93 &#177; 2.39 bc</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >7.44 &#177; 0.48 b</td><td align="center" valign="middle" >3.68 &#177; 0.93 c</td><td align="center" valign="middle" >61.68 &#177; 5.02 c</td><td align="center" valign="middle" >22.48 &#177; 2.45 cd</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >6.32 &#177; 0.57 c</td><td align="center" valign="middle" >3.52 &#177; 0.55 c</td><td align="center" valign="middle" >57.42 &#177; 4.39 d</td><td align="center" valign="middle" >19.14 &#177; 1.86 d</td></tr></tbody></table></table-wrap><p>CK, T1, T2, T3, and T4 are polyethylene glycol 6000 solutions with 0, −0.05, −0.1, −0.15, and −0.2 MPa osmotic potentials, respectively. Data are presented as the mean &#177; standard error of three replicates. Values followed by different letters within a column are significantly different at the 5% probability level.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Effects of drought stress simulated by PEG on RWC and contents of H<sub>2</sub>O<sub>2</sub>, MDA, and proline of seedling in Job’s tears</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cultivars</th><th align="center" valign="middle" >Treatments</th><th align="center" valign="middle" >RWC (%)</th><th align="center" valign="middle" >H<sub>2</sub>O<sub>2</sub> content (nmol∙g<sup>−1</sup> FM)</th><th align="center" valign="middle" >MDA content (mmol∙g<sup>−1</sup> FM)</th><th align="center" valign="middle" >Proline content (mg∙g<sup>−1</sup> FM)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >yy18-1</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >91.87 &#177; 5.35 a</td><td align="center" valign="middle" >6.56 &#177; 0.83 c</td><td align="center" valign="middle" >10.58 &#177; 2.31 c</td><td align="center" valign="middle" >3.73 &#177; 0.18 c</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >87.65 &#177; 4.24 a</td><td align="center" valign="middle" >6.93 &#177; 0.35 c</td><td align="center" valign="middle" >14.55 &#177; 1.87 bc</td><td align="center" valign="middle" >3.95 &#177; 0.21 bc</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >73.24 &#177; 6.38 b</td><td align="center" valign="middle" >7.87 &#177; 0.42 b</td><td align="center" valign="middle" >18.35 &#177; 2.24 b</td><td align="center" valign="middle" >4.35 &#177; 0.35 b</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >67.36 &#177; 3.21 c</td><td align="center" valign="middle" >8.33 &#177; 0.17 ab</td><td align="center" valign="middle" >20.34 &#177; 3.05 ab</td><td align="center" valign="middle" >4.76 &#177; 0.47 ab</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >62.41 &#177; 1.57 c</td><td align="center" valign="middle" >9.24 &#177; 0.54 a</td><td align="center" valign="middle" >23.59 &#177; 2.91 a</td><td align="center" valign="middle" >5.38 &#177; 0.29 a</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >yy12-7</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >90.32 &#177; 8.76 a</td><td align="center" valign="middle" >6.63 &#177; 0.38 d</td><td align="center" valign="middle" >13.47 &#177; 2.88 d</td><td align="center" valign="middle" >2.86 &#177; 0.33 c</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >81.35 &#177; 5.33 ab</td><td align="center" valign="middle" >8.03 &#177; 0.31 c</td><td align="center" valign="middle" >18.77 &#177; 3.02 d</td><td align="center" valign="middle" >3.01 &#177; 0.41 c</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >69.54 &#177; 2.19 b</td><td align="center" valign="middle" >9.42 &#177; 0.27 b</td><td align="center" valign="middle" >24.36 &#177; 1.59 c</td><td align="center" valign="middle" >3.32 &#177; 0.19 b</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >60.13 &#177; 3.58 c</td><td align="center" valign="middle" >10.15 &#177; 0.46 b</td><td align="center" valign="middle" >31.58 &#177; 2.03 b</td><td align="center" valign="middle" >3.54 &#177; 0.27 b</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >54.26 &#177; 2.71 d</td><td align="center" valign="middle" >12.47 &#177; 0.57 a</td><td align="center" valign="middle" >39.74 &#177; 3.47 a</td><td align="center" valign="middle" >4.05 &#177; 0.49 a</td></tr></tbody></table></table-wrap><p>CK, T1, T2, T3, and T4 are polyethylene glycol 6000 solutions with 0, −0.05, −0.1, −0.15, and −0.2 MPa osmotic potentials, respectively. RWC, H<sub>2</sub>O<sub>2</sub>, and MAD stands for relative water content, hydrogen peroxide, and malondialdehyde, respectively. Data are presented as the mean &#177; standard error of three replicates. Values followed by different letters within a column are significantly different at the 5% probability level.</p><p>MPa osmotic potential, but no significant change was observed at the osmotic potential of −0.05 MPa. Besides, at the same drought stress treatment, compared with the control treatment, the decreasing amplitude of RWC of yy18-1 was lower than that of yy12-7.</p><p>Similarly, H<sub>2</sub>O<sub>2</sub> content of both cultivars in the no PEG treatment was almost identical and independent of their drought resistance (<xref ref-type="table" rid="table4">Table 4</xref>). It was observed that in all of cultivars there was an increase in H<sub>2</sub>O<sub>2</sub> content due to drought stress increment. There were significant differences between control and drought stress treatments except for the osmotic potential of −0.05 MPa for H<sub>2</sub>O<sub>2</sub> content in both cultivars. Compared with the control, the T1, T2, T3, and T4 treatments increased the H<sub>2</sub>O<sub>2</sub> content by 5.64%, 19.97%, 26.98%, and 40.85%, respectively for yy18-1, and increased that by 21.12%, 42.08%, 53.09%, and 88.08%, respectively for yy12-7.</p><p>MDA content was affected considerably by PEG 6000 solution treatments, and yy18-1 showed lower MDA content than yy12-7 in the same PEG treatment (<xref ref-type="table" rid="table4">Table 4</xref>). It was observed that in all of cultivars there was an increase in MDA content due to drought stress increment. MDA content of both cultivars significantly increased when it was subjected to PEG 6000 solution with below −0.1 MPa osmotic potential, but no significant change was observed at the osmotic potential of −0.05 MPa. Compared with the control, the T1, T2, T3, and T4 treatments increased the MDA content by 37.52%, 73.44%, 92.25%, and 122.97%, respectively for yy18-1, and increased that by 39.35%, 80.85%, 134.45%, and 195.03%, respectively for yy12-7.</p><p>Proline content of yy18-1 was higher than that of yy12-7 in the same PEG treatment, which showed an increase trend with the decrease of the osmotic potential of PEG 6000 solution in both cultivars (<xref ref-type="table" rid="table4">Table 4</xref>). There were significant differences between control and drought stress treatments except for the osmotic potential of −0.05 MPa for proline content in both cultivars. In addition, the increasing amplitude of proline content was clearer in yy18-1 when compared to yy12-7.</p></sec><sec id="s3_4"><title>3.4. Enzymes Activities</title><p>POD activity was affected considerably by PEG 6000 solution treatments, and yy18-1 showed higher POD activity than yy12-7 in the same PEG treatment (<xref ref-type="table" rid="table5">Table 5</xref>). POD activity increased and then decreased with the decrease of osmotic potential of PEG 6000 solution in both cultivars and the maximum value appeared in the −0.1 MPa osmotic potential treatment. Compared with the control, the T1 and T2 treatments increased the POD activity by 3.55% and 12.48% (mean of both cultivars), but the T3 and T4 treatments decreased that by 4.87% and 19.13% (mean of both cultivars), respectively.</p><p>CAT activity of yy18-1 was higher than that of yy12-7 in the same PEG treatment, which exhibited single peak curves with a peak at the −0.1 MPa osmotic potential treatment (<xref ref-type="table" rid="table5">Table 5</xref>). Compared with the control, the T1 and T2 treatments increased the CAT activity by 1.17% and 5.72% (mean of both cultivars), but the T3 and T4 treatments decreased that by 2.69% and 10.61% (mean of both cultivars), respectively.</p><p>APX activity was affected considerably by PEG 6000 solution treatments, and yy18-1 showed higher APX activity than yy12-7 in the same PEG treatment</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Effects of drought stress simulated by PEG on activities of POD, CAT, APX, and GR of seedling in Job’s tears</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Cultivars</th><th align="center" valign="middle" >Treatments</th><th align="center" valign="middle" >POD activity (U∙mg<sup>−1</sup> FM)</th><th align="center" valign="middle" >CAT activity (U∙mg<sup>−1</sup> FM)</th><th align="center" valign="middle" >APX activity (U∙mg<sup>−1</sup> FM)</th><th align="center" valign="middle" >GR activity (U∙mg<sup>−1</sup> FM)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >yy18-1</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >23.47 &#177; 1.87 b</td><td align="center" valign="middle" >7.49 &#177; 0.39 b</td><td align="center" valign="middle" >38.76 &#177; 5.46 b</td><td align="center" valign="middle" >17.65 &#177; 1.93 b</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >24.36 &#177; 0.96 ab</td><td align="center" valign="middle" >7.58 &#177; 0.92 ab</td><td align="center" valign="middle" >39.42 &#177; 3.27 b</td><td align="center" valign="middle" >18.03 &#177; 1.46 ab</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >26.94 &#177; 2.34 a</td><td align="center" valign="middle" >7.64 &#177; 0.84 a</td><td align="center" valign="middle" >41.35 &#177; 2.51 a</td><td align="center" valign="middle" >20.15 &#177; 2.06 a</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >23.02 &#177; 2.91 b</td><td align="center" valign="middle" >7.24 &#177; 0.73 bc</td><td align="center" valign="middle" >37.18 &#177; 1.19 bc</td><td align="center" valign="middle" >17.02 &#177; 1.97 b</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >20.18 &#177; 1.09 c</td><td align="center" valign="middle" >6.97 &#177; 0.15 c</td><td align="center" valign="middle" >36.87 &#177; 2.92 c</td><td align="center" valign="middle" >16.39 &#177; 2.35 c</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >yy12-7</td><td align="center" valign="middle" >CK</td><td align="center" valign="middle" >20.45 &#177; 3.36 b</td><td align="center" valign="middle" >7.03 &#177; 0.44 b</td><td align="center" valign="middle" >32.41 &#177; 3.05 b</td><td align="center" valign="middle" >15.42 &#177; 3.16 b</td></tr><tr><td align="center" valign="middle" >T1</td><td align="center" valign="middle" >21.12 &#177; 2.54 a</td><td align="center" valign="middle" >7.11 &#177; 0.19 ab</td><td align="center" valign="middle" >32.85 &#177; 4.13 b</td><td align="center" valign="middle" >15.61 &#177; 0.99 ab</td></tr><tr><td align="center" valign="middle" >T2</td><td align="center" valign="middle" >22.46 &#177; 1.81 a</td><td align="center" valign="middle" >7.27 &#177; 0.26 a</td><td align="center" valign="middle" >34.38 &#177; 2.77 a</td><td align="center" valign="middle" >16.92 &#177; 1.58 a</td></tr><tr><td align="center" valign="middle" >T3</td><td align="center" valign="middle" >18.76 &#177; 2.05 b</td><td align="center" valign="middle" >6.54 &#177; 0.31 c</td><td align="center" valign="middle" >30.17 &#177; 1.86 c</td><td align="center" valign="middle" >13.29 &#177; 2.36 c</td></tr><tr><td align="center" valign="middle" >T4</td><td align="center" valign="middle" >15.34 &#177; 3.11 c</td><td align="center" valign="middle" >6.01 &#177; 0.87 c</td><td align="center" valign="middle" >27.65 &#177; 1.09 d</td><td align="center" valign="middle" >12.18 &#177; 1.05 c</td></tr></tbody></table></table-wrap><p>CK, T1, T2, T3, and T4 are polyethylene glycol 6000 solutions with 0, −0.05, −0.1, −0.15, and −0.2 MPa osmotic potentials, respectively. POD, CAT, APX, and GR stands for peroxidase, catalase, ascorbate peroxidase, and glutathione reductase, respectively. Data are presented as the mean &#177; standard error of three replicates. Values followed by different letters within a column are significantly different at the 5% probability level.</p><p>(<xref ref-type="table" rid="table5">Table 5</xref>). It was observed that in all of cultivars there was an increase and then decrease in APX activity due to drought stress increment and the maximum value appeared in the −0.1 MPa osmotic potential treatment. Compared with the control, the T1 and T2 treatments increased the APX activity by 1.55% and 6.41% (mean of both cultivars), but the T3 and T4 treatments decreased that by 5.37% and 9.34% (mean of both cultivars), respectively.</p><p>GR activity of yy18-1 was higher than that of yy12-7 in the same PEG treatment, which showed an increase and then decrease trend with the decrease of the osmotic potential of PEG 6000 solution in both cultivars and the maximum value appeared in the −0.1 MPa osmotic potential treatment (<xref ref-type="table" rid="table5">Table 5</xref>). Compared with the control, the T1 and T2 treatments increased the GR activity by 1.72% and 12.10% (mean of both cultivars), but the T3 and T4 treatments decreased that by 8.35% and 13.61% (mean of both cultivars), respectively.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>In general, germination is often considered to contain the process from sowing until the full emergence of the cotyledon leaves [<xref ref-type="bibr" rid="scirp.86762-ref20">20</xref>] . There are, in fact, three different phases during this germination period, i.e., seed germination, root growth, and seedling growth. If all three of these phases are better understood and dealt with together, it would be helpful in the evaluation of the drought resistance in crops [<xref ref-type="bibr" rid="scirp.86762-ref21">21</xref>] . Parameters of seed germination (germination energy, germination rate, and germination index), root growth (root length, root diameter, root fresh mass, and root dry mass), and seedling growth (seedling length, seedling diameter, seedling fresh mass, and seedling dry mass) are important indicators to evaluate the drought resistance at germination stage in the crops production [<xref ref-type="bibr" rid="scirp.86762-ref9">9</xref>] . In the present study, at the same PEG treatment, means of all tested indices of yy18-1 were higher than those of yy12-7. Thus, yy18-1 is a cultivar with high resistance to drought stress and yy12-7 is a cultivar with susceptible to drought stress, which are consistent with their field performances. Generally, seed germination is determined by the seed quality and environmental conditions [<xref ref-type="bibr" rid="scirp.86762-ref4">4</xref>] . In our study, at the control treatment (without considering drought stress), the significantly higher germination energy, germination rate, and germination index of yy18-1 compared with yy12-7 (P &lt; 0.05) indicated that the seed quality (at the same environmental conditions) of yy18-1 was better than that of yy12-7. Besides, both root growth and seedling growth of yy18-1 were also significantly higher than those of yy12-7 (P &lt; 0.05) also confirm the above conclusion. This may be due to the different 1000-grain weights (113.64 g and 95.47 g for yy18-1 and yy12-7, respectively), which could provide different nutrient supplies for seed germination, root growth, and seedling growth.</p><p>Drought stress is the main constraint for crop production in the world and a better understanding of germination responses to drought stress may be helpful in crop improvement program directed toward the generation of drought resistance cultivars [<xref ref-type="bibr" rid="scirp.86762-ref10">10</xref>] . Drought stress simulated by PEG at the germination stage affected the seed germination, root growth, and seedling growth in various crops [<xref ref-type="bibr" rid="scirp.86762-ref11">11</xref>] . In the present study, the germination energy, germination rate, and germination index decreased with the decrease of the osmotic potential of PEG 6000 solution in both cultivars, which are in agreement with those reported by Gholami et al. [<xref ref-type="bibr" rid="scirp.86762-ref22">22</xref>] . However, Almansouri et al. [<xref ref-type="bibr" rid="scirp.86762-ref23">23</xref>] concluded that moderate drought stress only delayed germination while high drought stress reduced the final germination rate. Further studies are needed to determine the cause of these differences. The root growth and seedling growth provide some important clues to the responses of crops to drought stress [<xref ref-type="bibr" rid="scirp.86762-ref4">4</xref>] . In this study, a special reduction in the root length, root diameter, root fresh mass, root dry mass, seedling length, seedling diameter, seedling fresh mass, and seedling dry mass of both cultivars was observed because of drought stress simulated by PEG. The results are in agreement with the earlier study who reported the drought stress affects the root growth and seedling growth negatively [<xref ref-type="bibr" rid="scirp.86762-ref24">24</xref>] . In addition, at the same drought stress treatment, compared with the control treatment, the decreasing amplitudes of all tested indices of yy12-7 were higher than those of yy18-1. Therefore, Job’s tears cultivars showing high resistance to drought stress, had a higher defense capability than other cultivars.</p><p>Germination is one of the most important stages in the crop life cycle and resistance against drought during the germination makes a crop stable [<xref ref-type="bibr" rid="scirp.86762-ref5">5</xref>] . The PEG is an inert, water-binding polymer, with a nonionic and virtually impermeable long chain, which accurately mimics drought stress under drought conditions. If the optimal osmotic potential of drought stress simulated by PEG is better determined, it would be helpful in the drought resistance identification, drought resistance indices screening, and drought resistance cultivar breeding in crops [<xref ref-type="bibr" rid="scirp.86762-ref10">10</xref>] . In the present study, compared with the control treatments, parameters of seed germination, root growth, and seedling growth of both cultivars did not show significant differences when the osmotic potential of PEG solution was more than −0.1 MPa. In addition, excessively inhibition of above indices was appeared in both cultivars when the osmotic potential of PEG solution was less than −0.1 MPa. Based on the present results, it is suggested that −0.1 MPa was the optimal osmotic potential of PEG 6000 solution simulated drought stress at germination stage for Job’s tears.</p><p>RWC expresses the capacity of conserving cellular hydration under physiological water starvation through osmotic adjustment. H<sub>2</sub>O<sub>2</sub> is a strong oxidant that can initiate localised oxidative damage leading to disruption of metabolic function and losses of cellular integrity at sites where it accumulates. MDA, the product of membrane lipid peroxidation, is one of the major indices estimating damaging extent of membrane system by drought stress [<xref ref-type="bibr" rid="scirp.86762-ref10">10</xref>] . In this study, RWC, H<sub>2</sub>O<sub>2</sub> content, and MDA content of seedling were significantly affected by PEG treatment. It was observed that in all of cultivars there were increases in H<sub>2</sub>O<sub>2</sub> and MDA contents and a decrease in RWC due to drought stress increment, which are in agreement with those reported by Du et al. [<xref ref-type="bibr" rid="scirp.86762-ref25">25</xref>] . However, Akcay et al. [<xref ref-type="bibr" rid="scirp.86762-ref6">6</xref>] concluded that the H<sub>2</sub>O<sub>2</sub> content increased and then decreased with the decrease of osmotic potential of PEG 6000 solution. Further studies are needed to determine the cause of these differences. Furthermore, our results indicated that yy18-1 showed higher RWC and lower MDA and H<sub>2</sub>O<sub>2</sub> contents than yy12-7 in the same PEG treatment. Besides, at the same drought stress treatment, compared with the control treatment, the decreasing amplitude of RWC and increasing amplitudes of MDA and H<sub>2</sub>O<sub>2</sub> contents of yy18-1 were lower than those of yy12-7. These results also suggested that Job’s tears cultivars showing high resistance to drought stress, had a higher defense capability than other cultivars.</p><p>Proline, which is an osmoprotectant, is not only play adaptive role in mediating osmotic adjustment and protecting subcellular structures in stressed plants, but also help plants to perform better in terms of growth, photosynthesis and assimilate partitioning to grain filling [<xref ref-type="bibr" rid="scirp.86762-ref26">26</xref>] . In the present study, proline content was increased under drought stress simulated by PEG 6000 solution in Job’s tears cultivars, and yy18-1 showed higher proline content than yy12-7 in the same PEG treatment. These results are in agreement with those reported by Alexieva et al. [<xref ref-type="bibr" rid="scirp.86762-ref27">27</xref>] . Therefore, proline was an essential part of the protection mechanism against drought stress in Job’s tears.</p><p>Antioxidant enzymes activities constitute the major part of the plant antioxidant defense system. POD is located in cytosol, vacuole as well as in extracellular space scavenge H<sub>2</sub>O<sub>2</sub> by oxidation of various substrates. CAT eliminates H<sub>2</sub>O<sub>2</sub> by breaking it down to H<sub>2</sub>O and O<sub>2</sub>, which does not require any reducing equivalents [<xref ref-type="bibr" rid="scirp.86762-ref6">6</xref>] . A PX is located in cytosol and various organelles convert H<sub>2</sub>O<sub>2</sub> to H<sub>2</sub>O using ascorbate as an electron donor [<xref ref-type="bibr" rid="scirp.86762-ref28">28</xref>] . GR has a central role in maintaining the reduced glutathione pool during stress [<xref ref-type="bibr" rid="scirp.86762-ref29">29</xref>] . In this study, activities of POD, CAT, APX, and GR increased and then decreased with the decrease of osmotic potential of PEG 6000 solution in both cultivars, and yy18-1 showed higher enzymes activities than yy12-7 in the same PEG treatment. This might be due to a toxic effect of PEG 6000 solution on seeds at higher concentration. Therefore, increases in the activities of POD, CAT, APX, and GR might have provided protection during drought conditions. However, compared with the control treatment, POD activity showed higher increasing amplitude than activities of CAT, APX, and GR during mild drought conditions (above −0.1 MPa osmotic potential) and CAT activity showed lower decreasing amplitude than activities of POD, APX, and GR during heavy drought conditions (below −0.1 MPa osmotic potential).These results indicated that POD and CAT were important mechanisms for the maintenance of drought resistance in Job’s tears seedling.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Drought stress had significant effect on seed germination, root and seedling growth, and seedling antioxidant characteristics in Job’s tears. The germination energy, germination rate, germination index, root and seedling lengths, root and seedling diameters, root and seedling fresh masses, root and seedling dry masses, and seedling RWC decreased with the decrease of the osmotic potential of PEG 6000 solution. The contents of H<sub>2</sub>O<sub>2</sub>, MDA, and proline in seedling increased with the decrease of the osmotic potential of PEG 6000 solution. The activities of POD, CAT, APX, and GR in seedling increased and then decreased with the decrease of osmotic potential of PEG 6000 solution. −0.1 MPa was the optimal osmotic potential of PEG 6000 solution simulated drought stress at germination stage for Job’s tears. The proline content and activities of POD and CAT were important mechanisms for the maintenance of drought resistance in Job’s tears seedling.</p></sec><sec id="s6"><title>Acknowledgements</title><p>This work was supported by the Guizhou Science and Technology Support Project (QKHZC20182293), the Guizhou Province Agricultural Research Project (QKHNZ20134025), and the Special Funds for Agriculture Animal and Plant Breeding in Guizhou Province (QNYZZ2012023).</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, C., Zhou, L.B., Zhang, G.B., Xu, Y., Gao, X., Jiang, N., Zhang, L.Y. and Shao, M.B. (2018) Effects of Drought Stress Simulated by Polyethylene Glycol on Seed Germination, Root and Seedling Growth, and Seedling Antioxidant Characteristics in Job’s Tears. Agricultural Sciences, 9, 991-1006. https://doi.org/10.4236/as.2018.98069</p></sec><sec id="s9"><title>Abbreviations</title><p>APX: Ascorbate Peroxidase; CAT: Catalase; GR: Glutathione Reductase; H<sub>2</sub>O<sub>2</sub>: Hydrogen Peroxide; MDA: Malondialdehyde; PEG: Polyethylene Glycol; POD: Peroxidase; RWC: Relative Water Content.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.86762-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Apirattananusorn, S., Tongta, S., Cui, S.W. and Wang, Q. (2008) Chemical Molecular, and Structural Characterization of Alkali Extractable Nonstarch Polysaccharides from Job’s Tears. Journal of Agricultural and Food Chemistry, 56, 8549-8557. https://doi.org/10.1021/jf801231y</mixed-citation></ref><ref id="scirp.86762-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Manosroi, J., Khositsuntiwong, N. and Manosroi, A. (2014) Biological Activities of Functooligosaccharide (FOS)-Containing Coix lacryma-jobi Linn. Extract. Journal of Food Science and Technology, 51, 341-346. https://doi.org/10.1007/s13197-011-0498-6</mixed-citation></ref><ref id="scirp.86762-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Bao, Y., Yuan, Y.Z., Xia, L., Jiang, H., Wu, W.R. and Zhang, X.J. (2005) Neural Lipid Isolated from Endosperm of Job’s Tears Inhibits the Growth of Pancreatic Cancer Cells via Apoptosis, G2/M Arrest, and Regulation of Gene Expression. Journal of Gastroenterology and Hepatology, 20, 1046-1053. https://doi.org/10.1111/j.1440-1746.2005.03864.x</mixed-citation></ref><ref id="scirp.86762-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Khodarahmpour, Z. (2011) Effect of Drought Stress Induced by Polyethylene Glycol (PEG) on Germination Indices in Corn (Zea mays L.) Hybrids. African Journal of Biotechnology, 10, 18222-18227. https://doi.org/10.5897/AJB11.2639</mixed-citation></ref><ref id="scirp.86762-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Shitole, S.M. and Dhumal, K.N. (2012) Effect of Water Stress by Polyethylene Glycol 6000 and Sodium Chloride on Seed Germination and Seedling Growth of Cassia angustifolia. International Journal of Pharmaceutical Sciences and Research, 3, 528-531.</mixed-citation></ref><ref id="scirp.86762-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Akcay, U.C., Ercan, O., Kavas, M., Yildiz, L., Yilmaz, C., Oktem, H.A. and Yucel, M. (2010) Drought-Induced Oxidative Damage and Antioxidant Responses in Peanut (Arachis hypogaea L.) Seedlings. Plant Growth Regulation, 61, 21-28. https://doi.org/10.1007/s10725-010-9445-1</mixed-citation></ref><ref id="scirp.86762-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Farooq, M., Wahid, A., Kobayashi, N., Fujita, D. and Basra, S.M.A. (2009) Plant Drought Stress: Effects, Mechanisms and Management. Agronomy for Sustainable Development, 29, 185-212. https://doi.org/10.1051/agro:2008021</mixed-citation></ref><ref id="scirp.86762-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Gong, H., Zhu, X., Chen, K., Wang, S. and Zhang, C. (2005) Silicon Alleviates Oxidative Damage of Wheat Plants in Pots under Drought. Plant Science, 169, 313-321. https://doi.org/10.1016/j.plantsci.2005.02.023</mixed-citation></ref><ref id="scirp.86762-ref9"><label>9</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Almaghrabi</surname><given-names> O.A. </given-names></name>,<etal>et al</etal>. (<year>2012</year>)<article-title>Impact of Drought Stress on Germination and Seedling Growth Parameters of Some Wheat Cultivars</article-title><source> Life Science Journal</source><volume> 9</volume>,<fpage> 590</fpage>-<lpage>598</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.86762-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Basu, S., Roychoudhury, A., Saha, P.P. and Sengupta, D.N. (2010) Comparative Analysis of Some Biochemical Responses of Three Indica Rice Varieties during Polyethylene Glycol-Mediated Water Stress Exhibits Distinct Varietal Differences. Acta Physiologiae Plantarum, 32, 551-563. https://doi.org/10.1007/s11738-009-0432-y</mixed-citation></ref><ref id="scirp.86762-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Pei, Z.F., Ming, D.F., Liu, D., Wan, G.L., Geng, X.X., Gong, H.J. and Zhou, W.J. (2010) Silicon Improves the Tolerance to Water-Deficit Stress Induced by Polyethylene Glycol in Wheat (Triticum aestivum L.) Seedlings. Journal of Plant Growth Regulation, 29, 106-115. https://doi.org/10.1007/s00344-009-9120-9</mixed-citation></ref><ref id="scirp.86762-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Michel, B.E. and Kaufmann, M.R. (1973) The Osmotic Potential of Polyethylene glycol 6000. Plant Physiology, 51, 914-916. https://doi.org/10.1104/pp.51.5.914</mixed-citation></ref><ref id="scirp.86762-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Qin, L., Yang, Y.B., Guan, Y.A., Zhang, H.W., Wang, H.L., Liu, B. and Chen, E.Y. (2013) Identification of Drought Tolerance at Germination Period of Foxtail Millet Cultivars Developed from Different Ecological Regions. Journal of Plant Genetic Resources, 14, 146-151.</mixed-citation></ref><ref id="scirp.86762-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Smart, R.E. and Bingham, G.E. (1974) Rapid Estimates of Relative Water Content. Plant Physiology, 53, 258-260. https://doi.org/10.1104/pp.53.2.258</mixed-citation></ref><ref id="scirp.86762-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Gietler, M., Nykiel, M. and Zagdańska, B.M. (2016) Changes in the Reduction State of Ascorbate and Glutathione, Protein Oxidation and Hydrolysis Leading to the Development of Dehydration Intolerance in Triticum aestivum L. Seedlings. Plant Growth Regulation, 79, 287-297. https://doi.org/10.1007/s10725-015-0133-z</mixed-citation></ref><ref id="scirp.86762-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Bates, L.S., Waldren, R.P. and Teare, I.D. (1973) Rapid Determination of Free Proline for Water-Stress Studies. Plant and Soil, 39, 205-207. https://doi.org/10.1007/BF00018060</mixed-citation></ref><ref id="scirp.86762-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Wang, C., Hu, D., Liu, X.B., She, H.Z., Ruan, R.W., Yang, H., Yi, Z.L. and Wu, D.Q. (2015) Effects of Uniconazole on the Lignin Metabolism and Lodging Resistance of Culm in Common Buckwheat (Fagopyrum esculentum M.). Field Crops Research, 180, 46-53. https://doi.org/10.1016/j.fcr.2015.05.009</mixed-citation></ref><ref id="scirp.86762-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Vardhini, B.V. and Rao, S.S.R. (2003) Amelioration of Osmotic Stress by Brassinosteroids on Seed Germination and Seedling Growth of Three Varieties of Sorghum. Plant Growth Regulation, 41, 25-31. https://doi.org/10.1023/A:1027303518467</mixed-citation></ref><ref id="scirp.86762-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Nakano, Y. and Asada, K. (1981) Hydrogen Peroxide Is Scavenged by Ascorbate-Specific Peroxidase in Spinach Chloroplasts. Plant and Cell Physiology, 22, 867-880.</mixed-citation></ref><ref id="scirp.86762-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">El-Kassaby, Y.A. and Edwards, D.G.W. (2001) Germination Ecology in Mountain Hemlock (Tsuga mertensiana (Bong.) Carr.). Forest Ecology and Management, 144, 183-188. https://doi.org/10.1016/S0378-1127(00)00370-4</mixed-citation></ref><ref id="scirp.86762-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Parvez, S.S., Parvez, M.M., Fujii, Y. and Gemma, H. (2003) Allelopathic Competence of Tamarindus indica L. Root Involved in Plant Growth Regulation. Plant Growth Regulation, 41, 139-148. https://doi.org/10.1023/A:1027387126878</mixed-citation></ref><ref id="scirp.86762-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Gholami, M., Rahemi, M. and Kholdebarin, B. (2010) Effect of Drought Stress Induced by Polyethylene Glycol on Seed Germination of Four Wild Almond Species. Australian Journal of Basic and Applied Sciences, 4, 785-791.</mixed-citation></ref><ref id="scirp.86762-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Almansouri, M., Kinet, J.M. and Lutts, S. (2001) Effect of Salt and Osmotic Stresses on Germination in Durum Wheat (Triticum durum Desf.). Plant and Soil, 231, 243-254. https://doi.org/10.1023/A:1010378409663</mixed-citation></ref><ref id="scirp.86762-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Khayatnezhad, M., Gholamin, R., Jamaati-e-Somarin, S. and Zabihi-e-Mahmoodabad, R. (2010) Effects of Peg Stress on Corn Cultivars (Zea mays L.) at Germination Stage. World Applied Sciences Journal, 11, 504-506.</mixed-citation></ref><ref id="scirp.86762-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Du, C.Y., Duan, Z.Y., Pan, Y.H., Lei, B.K., Hu, W.L., Fu, B., Chen, A.Q., Chen, S.H., Yang, Y.Q. and Jin, G.M. (2015) Effect of Drought Stress on Growth and Activities of Antioxidant Enzymes of Maize Seedling. Agricultural Research in the Arid Areas, 33, 124-129.</mixed-citation></ref><ref id="scirp.86762-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Ashraf, M. and Foolad, M.R. (2007) Roles of Glycinebetaine and Proline in Improving Plant Abiotic Stress Resistance. Environmental and Experimental Botany, 59, 206-216. https://doi.org/10.1016/j.envexpbot.2005.12.006</mixed-citation></ref><ref id="scirp.86762-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Alexieva, V., Sergiev, I., Mapelli, S. and Karanov, E. (2001) The Effect of Drought and Ultraviolet Radiation on Growth and Stress Markers in Pea and Wheat. Plant Cell and Environment, 24, 1337-1344. https://doi.org/10.1046/j.1365-3040.2001.00778.x</mixed-citation></ref><ref id="scirp.86762-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Madhusudhan, R., Ishikawa, T., Sawa, Y., Shiqeoka, S. and Shibata, H. (2003) Characterization of an Ascorbate Peroxidase in Plastids of Tobacco BY-2 Cells. Physiologia Plantarum, 117, 550-557. https://doi.org/10.1034/j.1399-3054.2003.00066.x</mixed-citation></ref><ref id="scirp.86762-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Pastori, G., Foyer, C.H. and Mullineaux, P. (2000) Low Temperature-Induced Changes in the Distribution of H2O2 and Antioxidants between the Bundle Sheath and Mesophyll Cells of Maize Leaves. Journal of Experimental Botany, 51, 107-113. https://doi.org/10.1093/jexbot/51.342.107</mixed-citation></ref></ref-list></back></article>