<?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.2015.67091</article-id><article-id pub-id-type="publisher-id">AJPS-55522</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>
 
 
  Salinity Effects on Development and Productivity of Crambe (&lt;i&gt;Crambe abyssinica&lt;/i&gt;) under Greenhouse Conditions
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>na</surname><given-names>Carolina F. de Vasconcelos</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lúcia</surname><given-names>Helena G. Chaves</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Felipe</surname><given-names>G. Souza</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hans</surname><given-names>R. Gheyi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Josely</surname><given-names>D. Fernandes</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>State University of Paraíba, Lagoa Seca, Brazil</addr-line></aff><aff id="aff1"><addr-line>Federal University of Campina Grande, Campina Grande, Brazil</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>ana3carol@yahoo.com.br(NCFDV)</email>;<email>lhgarofalo@hotmail.com(LHGC)</email>;<email>felipeguedesjm_16@hotmail.com(FGS)</email>;<email>hans@agriambi.com.br(HRG)</email>;<email>joselysolos@yahoo.com.br(JDF)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>10</day><month>04</month><year>2015</year></pub-date><volume>06</volume><issue>07</issue><fpage>839</fpage><lpage>847</lpage><history><date date-type="received"><day>24</day>	<month>September</month>	<year>2014</year></date><date date-type="rev-recd"><day>accepted</day>	<month>6</month>	<year>April</year>	</date><date date-type="accepted"><day>10</day>	<month>April</month>	<year>2015</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>
 
 
  Salinity in soil or water in arid and semi arid regions can severely limit crop production, since the high amount of NaCl contributes to specific ion effects of Cl
  <sup>-</sup>, Na+ or both, and to antagonistic effects on nutrient elements. Affected by salt stress, most of the cultivated plants do not fully express their growth potential, which lowers their economic value. Crambe (Crambe abyssinica) is an oil plant of the cruciferous family and it is believed that crambe has great potential to figure as raw material for biofuel; however, literature is not abundant about the effects of salinity in crambe production. This work was carried out in order to evaluate the effects on the development and productivity of crambe irrigated with saline waters under greenhouse conditions. Treatments resulted from the combination of two factors: salinity of irrigation water (ECw) in five levels (1.03-control, 2.5, 4.0, 5.5, and 7.0 dS
  &#183;m
  <sup>-1</sup>) and two types of salts (NaCl and NaCl + CaCl2) with three replications, totaling 30 experimental plots. At the end of the experimental period, soil samples from each plot were collected for chemical and salinity of soil saturation extract analyzes. Salt types did not affect plant parameters. However, the salinity levels presented significant effects on the all plant parameters, decreasing their values with the increase of the salt dose. Salinity levels of the solutions used for irrigation in this study affected the growth of plants and grain yield of crambe. Regarding the type of salts, a higher concentration of Na was observed for NaCl solutions at 2.5, 4.0 and 5.5 dS
  &#183;m
  <sup>-1</sup> salinity levels.
 
</p></abstract><kwd-group><kwd>Crambe</kwd><kwd> Oil Seed</kwd><kwd> Salinity Tolerance</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Salinity in soil or water is one of the major stresses and especially in arid and semi arid regions; salinity can severely limit crop production. In many irrigated areas of the world, farmers are forced to use saline water to irrigate their crops due to inadequate supplies of fresh water [<xref ref-type="bibr" rid="scirp.55522-ref1">1</xref>] . Saline water contains high amounts of NaCl, which contribute to specific ion effects of Cl<sup>?</sup>, Na<sup>+</sup> or both, and to antagonistic effects on nutrient elements.</p><p>Other ions that contribute to soil salinity include<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x6.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x7.png" xlink:type="simple"/></inline-formula>, Ca<sup>2+</sup>, Mg<sup>2+</sup>, and, rarely, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x8.png" xlink:type="simple"/></inline-formula>or K<sup>+</sup>. The</p><p>salts of these ions occur in highly variable concentrations and proportions. They may be indigenous, but more commonly they are brought into an area in the irrigation water or in waters draining from adjacent areas [<xref ref-type="bibr" rid="scirp.55522-ref2">2</xref>] .</p><p>Nutrient imbalances may result from the effect of salinity on nutrient availability, uptake, and partitioning within the plant or may be caused by physiological inactivation of a given nutrient, raising the internal requirement of the plant for that essential element. Salinity stress has stimulatory as well as inhibitory effects on the uptake of some macro and micronutrients by plants. The uptake of Fe, Mn, Zn, and Cu generally was increased in crop plants under salinity stress [<xref ref-type="bibr" rid="scirp.55522-ref3">3</xref>] .</p><p>Affected by salt stress, most of the cultivated plants do not fully express their growth potential, which lowers their economic value. Saline soils contain soluble salts in quantities that affect plant growth adversely. The lower limit for a saline soil has been set conventionally at an electrical conductivity of 4 dS∙m<sup>−1</sup> in the soil saturation extract. Actually, sensitive plants are affected at half of this salinity, and the highly tolerant ones can resist at about twice this salinity [<xref ref-type="bibr" rid="scirp.55522-ref1">1</xref>] .</p><p>Crambe (Crambe abyssinica) is an oil plant of the cruciferous family native of the Mediterranean region from Ethiopia to Tanzania for ornamental purposes and with high economical value, especially in Central Asia and the Aral Sea region; however, it is cultivated in tropical and subtropical regions [<xref ref-type="bibr" rid="scirp.55522-ref4">4</xref>] . The literature is not abundant about the effects of salinity in crambe production, although it is believed that crambe has great potential to figure as raw material for biofuel, among the 40 oil species already known with this potential [<xref ref-type="bibr" rid="scirp.55522-ref5">5</xref>] . Crambe is usually used for the production of oil for industrial products, such as industrial lubricant, corrosion inhibitor and as an ingredient in the manufacture of synthetic rubber [<xref ref-type="bibr" rid="scirp.55522-ref6">6</xref>] .</p><p>Crambe is a low input crop when compared with many other oil crops that can be cultivated. This offers potential to reduce the use and hence environmental burden of fertilizers and water. According to [<xref ref-type="bibr" rid="scirp.55522-ref7">7</xref>] , crambe has been chosen as the candidate crop platform for industrial production of wax esters because its oil is not suitable for use in food applications. Moreover, nowadays there is a consensus by all major biotech companies that there is a risk in developing industrial feedstock production in the same crop that is also used for the food market. This is due to the fact that infrastructure in agriculture today does not allow fail-safe separation of different qualities of the same crop.</p><p>The industrial oils to be produced in genetically engineered plants are not intended for food use and must therefore not enter the food or feed chain. Crambe naturally contains up to 60% of erucic acid, a suitable long chain fatty acid for conversion into the fatty alcohols needed in the production of several of the wax ester types, which disqualifies it for food production. Crambe is already a high yielding oil crop, presenting similar yield as spring rapeseed. Moreover, crambe presents the advantage of being cultivated wherever rapeseed is grown [<xref ref-type="bibr" rid="scirp.55522-ref7">7</xref>] .</p><p>In Brazil, researches on the culture of crambe began in 1995 in Mato Grosso do Sul Foundation, Mato Grosso do Sul State, to evaluate its behavior in the formation of soil cover [<xref ref-type="bibr" rid="scirp.55522-ref8">8</xref>] . However, with the advent of biofuel production, this oilseed has become quite an interesting option for presenting advantages for its yields, such as earliness, tolerance to drought and frost, low production cost, yields ranging from 1000 to 1500 kg∙ha<sup>−1</sup> and increased production of oil compared with crops such as sunflower, oilseed rape, canola and jatropha, among others. Furthermore, crambe does not compete with crops grown for food, making its cultivation feasible for biofuel production [<xref ref-type="bibr" rid="scirp.55522-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.55522-ref8">8</xref>] .</p><p>Based on the facts described above, in addition to the lack of specific literature about the effects of saline waters used for irrigation on crambe plants, this work was carried out in order to evaluate the effects on the development and productivity of crambe irrigated with saline waters under greenhouse conditions.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>The experiment was carried out between September and December 2013 in a greenhouse located in the Academic Unit of Agricultural Engineering at the Federal University of Campina Grande (UFCG), Brazil, situated at 7˚12'88''S and 35˚54'40''O, with an average altitude of 532 m.</p><p>The soil, after being air-dried and sieved, was chemically analyzed by [<xref ref-type="bibr" rid="scirp.55522-ref9">9</xref>] method, and the results are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>After chemical characterization, the soil was placed in pots with a capacity of 15 dm<sup>3</sup> and submitted to a basic fertilization following the recommendation of [<xref ref-type="bibr" rid="scirp.55522-ref10">10</xref>] for pots. The dosage 100 - 300 - 100 mg∙kg<sup>−1</sup> of nitrogen, phosphorus and potassium, respectively, was applied by using potassium chloride (39.1% K), single superphosphate (18% P<sub>2</sub>O<sub>5</sub>), sulfate ammonia (21% N) and urea (28% N).</p><p>The volume of water required to achieve the soil at field capacity was determined based on the amount of available water in the soil determined in the laboratory.</p><p>The salts NaCl and CaCl<sub>2</sub> were added to the local water supply, in order to obtain waters with different electrical conductivities (EC). The quantity of each salt (Q) was determined by the equation Q (mg∙L<sup>−1</sup>) = 640 &#215; ECw (dS∙m<sup>−1</sup>), as [<xref ref-type="bibr" rid="scirp.55522-ref11">11</xref>] state, in which ECw represents the desired value of electrical conductivity of the water. The waters were stored in plastic barrels of 100 liter capacity. Treatments resulted from the combination of two factors: salinity of irrigation water (ECw) in five levels (1.03-control, 2.5, 4.0, 5.5, and 7.0 dS∙m<sup>−1</sup>) and two types of salts (NaCl and the 1:1 ratio combination of NaCl + CaCl<sub>2</sub>), with three replications, totaling 30 experimental plots.</p><p>Crambe seeds, cultivar Brilhante FMS, were provided by the MS Foundation, Office of Maracaju, Mato Grosso do Sul, Brazil, and they were planted in plastic cups on a commercial substrate for the production of seedlings. After 13 days, the seedlings were transplanted into pots and irrigated with water supply for 14 days to ensure its full adaptation to the pots. Then, the irrigation with saline solutions of NaCl + NaCl and CaCl<sub>2</sub> was started, which lasted 50 days until harvesting the plants. The irrigation with their respective treatments were conducted twice daily (07:00 a.m. and 04:00 p.m.) applying volumes ranging from 100 ml to 300 ml, based on previous work cited by [<xref ref-type="bibr" rid="scirp.55522-ref12">12</xref>] .</p><p>During the experimental period (90 days) the plants were subjected to measurements of plant height, number of leaves and inflorescences and absence or presence of grains on three dates every 15 days. At the end of the experiment the plants were cut, separated in shoots, roots and grains, dried in an oven with forced air circulation at 65˚C for 72 hours and then weighed on a precision balance of 0.1 g.</p><p>At the end of the experimental period, soil samples from each plot were collected for chemical and salinity of soil saturation extract analyzes. Soil and plant data were evaluated using the statistical software SISVAR 5.0 [<xref ref-type="bibr" rid="scirp.55522-ref13">13</xref>] .</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>Statistical analysis was performed separately on the basis of soil analysis: soil complex sorption (<xref ref-type="table" rid="table2">Table 2</xref>) and salinity (<xref ref-type="table" rid="table3">Table 3</xref>). Data were subjected to analysis of normality of the residuals by the method of Shapiro-Wilk, being transformed when it was necessary. It was observed a need to transform the data of the soil complex sorp-</p><p>tion in <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x9.png" xlink:type="simple"/></inline-formula> for electrical conductivity (EC) and Na; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x10.png" xlink:type="simple"/></inline-formula>for Ca, H + Al, H and M.O; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x11.png" xlink:type="simple"/></inline-formula>for Mg and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x12.png" xlink:type="simple"/></inline-formula> for Al (<xref ref-type="table" rid="table2">Table 2</xref>). Regarding to soil salinity, it was necessary to transform the data in <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x13.png" xlink:type="simple"/></inline-formula> to EC; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x14.png" xlink:type="simple"/></inline-formula>to Na; <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x15.png" xlink:type="simple"/></inline-formula>to Mg and log (x) for Ca and Cl (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Soil chemical characterization at the beginning of the experiment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >pH H<sub>2</sub>O</th><th align="center" valign="middle" >E.C.</th><th align="center" valign="middle" >Ca</th><th align="center" valign="middle" >Mg</th><th align="center" valign="middle" >Na</th><th align="center" valign="middle" >K</th><th align="center" valign="middle" >H + Al</th><th align="center" valign="middle" >P</th><th align="center" valign="middle" >O.M.</th></tr></thead><tr><td align="center" valign="middle" >(1:2.5)</td><td align="center" valign="middle" >dS∙m<sup>−1</sup></td><td align="center" valign="middle"  colspan="5"  >-------------------------- mmol∙kg<sup>−1</sup>----------------------------</td><td align="center" valign="middle" >mg∙dm<sup>−3</sup></td><td align="center" valign="middle" >g∙dm<sup>−3</sup></td></tr><tr><td align="center" valign="middle" >5.41</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >22.6</td><td align="center" valign="middle" >9.4</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >22.3</td><td align="center" valign="middle" >9.3</td><td align="center" valign="middle" >7.7</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Analysis of variance for the soil complex sorption at the end of the experiment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source of variation</th><th align="center" valign="middle" >D.F.</th><th align="center" valign="middle"  colspan="9"  >Mean squares</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >EC<sup>(1)</sup></td><td align="center" valign="middle" >Na<sup>(1)</sup></td><td align="center" valign="middle" >K</td><td align="center" valign="middle" >Ca<sup>(2)</sup></td><td align="center" valign="middle" >Mg<sup>(3)</sup></td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >Al<sup>(4)</sup></td><td align="center" valign="middle" >O.M.<sup>(2)</sup></td></tr><tr><td align="center" valign="middle" >Salinity levels (N)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.013<sup>ns</sup></td><td align="center" valign="middle" >0.12<sup>**</sup></td><td align="center" valign="middle" >0.323<sup>**</sup></td><td align="center" valign="middle" >0.029<sup>ns</sup></td><td align="center" valign="middle" >0.23<sup>**</sup></td><td align="center" valign="middle" >0.04<sup>ns</sup></td><td align="center" valign="middle" >0.003<sup>ns</sup></td><td align="center" valign="middle" >0.019<sup>*</sup></td><td align="center" valign="middle" >0.023<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Linear</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.011<sup>ns</sup></td><td align="center" valign="middle" >0.44<sup>**</sup></td><td align="center" valign="middle" >1.064<sup>**</sup></td><td align="center" valign="middle" >0.004<sup>ns</sup></td><td align="center" valign="middle" >0.79<sup>**</sup></td><td align="center" valign="middle" >0.002<sup>ns</sup></td><td align="center" valign="middle" >0.066<sup>ns</sup></td><td align="center" valign="middle" >0.002<sup>ns</sup></td><td align="center" valign="middle" >0.003<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.027<sup>ns</sup></td><td align="center" valign="middle" >0.000<sup>ns</sup></td><td align="center" valign="middle" >0.226<sup>**</sup></td><td align="center" valign="middle" >0.003<sup>ns</sup></td><td align="center" valign="middle" >0.03<sup>ns</sup></td><td align="center" valign="middle" >0.056<sup>ns</sup></td><td align="center" valign="middle" >0.005<sup>ns</sup></td><td align="center" valign="middle" >0.057<sup>*</sup></td><td align="center" valign="middle" >0.002<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.006<sup>ns</sup></td><td align="center" valign="middle" >0.012<sup>ns</sup></td><td align="center" valign="middle" >0.001<sup>ns</sup></td><td align="center" valign="middle" >0.002<sup>ns</sup></td><td align="center" valign="middle" >0.05<sup>ns</sup></td><td align="center" valign="middle" >0.053<sup>ns</sup></td><td align="center" valign="middle" >0.054<sup>ns</sup></td><td align="center" valign="middle" >0.016<sup>ns</sup></td><td align="center" valign="middle" >0.001<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Salts (S)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.100<sup>**</sup></td><td align="center" valign="middle" >0.034<sup>*</sup></td><td align="center" valign="middle" >0.415<sup>**</sup></td><td align="center" valign="middle" >0.002<sup>ns</sup></td><td align="center" valign="middle" >0.01<sup>ns</sup></td><td align="center" valign="middle" >0.06<sup>ns</sup></td><td align="center" valign="middle" >0.012<sup>**</sup></td><td align="center" valign="middle" >0.008<sup>ns</sup></td><td align="center" valign="middle" >0.029<sup>*</sup></td></tr><tr><td align="center" valign="middle" >N &#215; S</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.008<sup>ns</sup></td><td align="center" valign="middle" >0.006<sup>ns</sup></td><td align="center" valign="middle" >0.106<sup>**</sup></td><td align="center" valign="middle" >0.008<sup>ns</sup></td><td align="center" valign="middle" >0.01<sup>ns</sup></td><td align="center" valign="middle" >0.04<sup>ns</sup></td><td align="center" valign="middle" >0.001<sup>**</sup></td><td align="center" valign="middle" >0.008<sup>ns</sup></td><td align="center" valign="middle" >0.041<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Treatment</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0.02<sup>ns</sup></td><td align="center" valign="middle" >0.52<sup>**</sup></td><td align="center" valign="middle" >0.23<sup>**</sup></td><td align="center" valign="middle" >0.001<sup>ns</sup></td><td align="center" valign="middle" >0.10<sup>**</sup></td><td align="center" valign="middle" >0.04<sup>ns</sup></td><td align="center" valign="middle" >0.002<sup>**</sup></td><td align="center" valign="middle" >0.009<sup>ns</sup></td><td align="center" valign="middle" >0.006<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.009</td><td align="center" valign="middle" >0.004</td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >0.0024</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >0.065</td><td align="center" valign="middle" >0.006</td></tr><tr><td align="center" valign="middle"  colspan="2"  >CV (%)</td><td align="center" valign="middle" >1.99</td><td align="center" valign="middle" >8.23</td><td align="center" valign="middle" >10.89</td><td align="center" valign="middle" >12.91</td><td align="center" valign="middle" >9.49</td><td align="center" valign="middle" >29.41</td><td align="center" valign="middle" >0.39</td><td align="center" valign="middle" >7.01</td><td align="center" valign="middle" >11.08</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Mean</td><td align="center" valign="middle" >5.00</td><td align="center" valign="middle" >0.827</td><td align="center" valign="middle" >0.983</td><td align="center" valign="middle" >0.385</td><td align="center" valign="middle" >1.62</td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >3.846</td><td align="center" valign="middle" >1.15</td><td align="center" valign="middle" >0.737</td></tr></tbody></table></table-wrap><p>D.F.: Degrees of freedom;<sup> **</sup> and <sup>*</sup>: Significant at 1% and 5%, respectively; <sup>ns</sup>: Non-significant by F test; <sup>(1), (2), (3) and (4)</sup>: Data processed in<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x16.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x17.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x18.png" xlink:type="simple"/></inline-formula>and<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x19.png" xlink:type="simple"/></inline-formula>, respectively.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Analysis of variance for the salinity of soil saturation extract at the end of experiment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source of variation</th><th align="center" valign="middle" >D.F.</th><th align="center" valign="middle"  colspan="8"  >Mean squares</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >EC<sup>(1) </sup></td><td align="center" valign="middle" >Na<sup>(2)</sup></td><td align="center" valign="middle" >K</td><td align="center" valign="middle" >Ca<sup>(4)</sup></td><td align="center" valign="middle" >Mg<sup>(3)</sup></td><td align="center" valign="middle" >HCO<sub>3</sub></td><td align="center" valign="middle" >Cl<sup>(4)</sup></td></tr><tr><td align="center" valign="middle" >Salinity levels (N)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.02ns</td><td align="center" valign="middle" >0.03<sup>**</sup></td><td align="center" valign="middle" >0.06<sup>**</sup></td><td align="center" valign="middle" >5.12<sup>**</sup></td><td align="center" valign="middle" >0.14<sup>**</sup></td><td align="center" valign="middle" >3.35<sup>**</sup></td><td align="center" valign="middle" >0.08ns</td><td align="center" valign="middle" >0.26<sup>**</sup></td></tr><tr><td align="center" valign="middle" >Linear</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.06<sup>*</sup></td><td align="center" valign="middle" >0.04<sup>**</sup></td><td align="center" valign="middle" >0.09<sup>**</sup></td><td align="center" valign="middle" >19.62<sup>**</sup></td><td align="center" valign="middle" >0.48<sup>**</sup></td><td align="center" valign="middle" >3.35<sup>**</sup></td><td align="center" valign="middle" >0.29ns</td><td align="center" valign="middle" >0.825<sup>**</sup></td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.04ns</td><td align="center" valign="middle" >0.01ns</td><td align="center" valign="middle" >0.05<sup>**</sup></td><td align="center" valign="middle" >0.15ns</td><td align="center" valign="middle" >0.01ns</td><td align="center" valign="middle" >0.19ns</td><td align="center" valign="middle" >0.02ns</td><td align="center" valign="middle" >0.01ns</td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.04ns</td><td align="center" valign="middle" >0.03<sup>**</sup></td><td align="center" valign="middle" >0.05ns</td><td align="center" valign="middle" >0.35ns</td><td align="center" valign="middle" >0.04ns</td><td align="center" valign="middle" >0.38ns</td><td align="center" valign="middle" >0.02ns</td><td align="center" valign="middle" >0.04<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Salts (S)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.16<sup>**</sup></td><td align="center" valign="middle" >0.02<sup>*</sup></td><td align="center" valign="middle" >0.03<sup>**</sup></td><td align="center" valign="middle" >0.04ns</td><td align="center" valign="middle" >0.02ns</td><td align="center" valign="middle" >0.19ns</td><td align="center" valign="middle" >0.04ns</td><td align="center" valign="middle" >0.05<sup>*</sup></td></tr><tr><td align="center" valign="middle" >N &#215; S</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >0.07ns</td><td align="center" valign="middle" >0.05ns</td><td align="center" valign="middle" >0.03<sup>**</sup></td><td align="center" valign="middle" >0.43ns</td><td align="center" valign="middle" >0.01ns</td><td align="center" valign="middle" >0.38ns</td><td align="center" valign="middle" >0.48<sup>*</sup></td><td align="center" valign="middle" >0.09ns</td></tr><tr><td align="center" valign="middle" >Treatment</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0.03<sup>*</sup></td><td align="center" valign="middle" >0.06<sup>**</sup></td><td align="center" valign="middle" >0.05<sup>**</sup></td><td align="center" valign="middle" >2.46<sup>*</sup></td><td align="center" valign="middle" >0.07<sup>**</sup></td><td align="center" valign="middle" >1.68<sup>**</sup></td><td align="center" valign="middle" >0.26ns</td><td align="center" valign="middle" >0.12<sup>**</sup></td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.83</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.34</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.07</td></tr><tr><td align="center" valign="middle"  colspan="2"  >CV (%)</td><td align="center" valign="middle" >2.41</td><td align="center" valign="middle" >6.74</td><td align="center" valign="middle" >15.93</td><td align="center" valign="middle" >15.14</td><td align="center" valign="middle" >7.86</td><td align="center" valign="middle" >9.67</td><td align="center" valign="middle" >22.84</td><td align="center" valign="middle" >4.10</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Mean</td><td align="center" valign="middle" >4.59</td><td align="center" valign="middle" >0.28</td><td align="center" valign="middle" >0.028</td><td align="center" valign="middle" >6.093</td><td align="center" valign="middle" >1.735</td><td align="center" valign="middle" >6.07</td><td align="center" valign="middle" >1.676</td><td align="center" valign="middle" >2.05</td></tr></tbody></table></table-wrap><p>D.F.: Degrees of freedom;<sup> **</sup> and <sup>*</sup>: Significant at 1% and 5%, respectively; <sup>ns</sup>: Non-significant by F test; <sup>(1), (2), (3) and (4)</sup>: Data processed in<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x20.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x21.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x21.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x22.png" xlink:type="simple"/></inline-formula>and log(x), respectively.</p><p>The effects of salinity levels on soil complex sorption at the end of the experiment were significant to electric conductivity (EC), sodium (Na), calcium (Ca), and aluminum (Al). In addition, the types of salts were significant for pH, EC, Na, phosphorus (P), and organic matter (O.M.). The interaction between salinity levels and types of salts was significant for Na and P (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The treatments used in this experiment also presented significant effects on the soil saturation extract at the end of the experiment (<xref ref-type="table" rid="table3">Table 3</xref>). Salinity levels were significant for E.C., Na, K, Ca, Cl, while the types of salts were significant for pH, E.C., Na and Cl. The interaction between salinity levels and types of salts was significant for Na and HCO<sub>3</sub>.</p><p>Subsequently, the soil data were subjected to analysis of variance and to the analysis of the splitting factors, when it was necessary. For significant effects of the factor “salts”, the Tukey test was performed for comparison of means at 5% probability, while for the significant effects of salinity levels it was applied the regression analysis (<xref ref-type="table" rid="table4">Table 4</xref> and <xref ref-type="table" rid="table5">Table 5</xref>).</p><p>For the soil complex (<xref ref-type="table" rid="table4">Table 4</xref>), the values of pH were higher for the combination of NaCl + CaCl<sub>2</sub> in the solutions at 4.0 and 5.5 dS∙m<sup>−1</sup> salinity levels. The Na content was higher for NaCl solutions at those same salinity levels (4.0 and 5.5 dS∙m<sup>−1</sup>). Phosphorus presented higher values for the combination of NaCl + CaCl<sub>2 </sub>in the solutions for all the salinity levels, except for the 7.0 dS∙m<sup>−1</sup>.</p><p>For soil salinity (<xref ref-type="table" rid="table5">Table 5</xref>), the highest increase observed for the adopted salinity levels of this study can be observed for Na content, where the NaCl solution presented this increase for 2.5, 4.0 and 5.5 dS∙m<sup>−1</sup> salinity levels. Electrical conductivity presented higher value for NaCl solution at 5.5 dS∙m<sup>−1</sup>.</p><p>Plant data also were subjected to analysis of normality of the residuals by the method of Shapiro-Wilk and it was observed a need to transform the data in <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x23.png" xlink:type="simple"/></inline-formula> (<xref ref-type="table" rid="table6">Table 6</xref>). As it can be observed, salt types do not affected plant parameters (<xref ref-type="table" rid="table6">Table 6</xref>), namely dry weight of shoots and roots, number of inflorescences, dry weight of grains and root-shoot ratio. However, the salinity levels presented significant effects on the all parameters: as the salt dose increased, plant dry-matter (shoots and roots), inflorescences and grain weight decreased with the salinity levels, following a linear trend (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>Plants adversely affected by salinity grow more slowly and are, therefore, stunted. Leaves are smaller, but may be thicker than those of normal plants and chloride increases the elongation of the palisade cells, causing increased succulence. The leaves of salt-affected plants are often darker green than those of normal plants, but in crucifers thicker layers of surface wax cause a bluish-green cast. Stunting of fruits as well as leaves and stems occurs. Salt-affected plants may show no distinctive symptoms, and only comparison with normal plants reveals</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Comparison of means of soil complex sorption by Tukey test for salt type</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Salt</th><th align="center" valign="middle"  colspan="5"  >Salinity levels (dS∙m<sup>−1</sup>)</th><th align="center" valign="middle" >Equation</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >pH</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >5.04a</td><td align="center" valign="middle" >4.92a</td><td align="center" valign="middle" >4.90b</td><td align="center" valign="middle" >4.84b</td><td align="center" valign="middle" >5.00a</td><td align="center" valign="middle" >Y = 0.01x<sup>2</sup> − 0.14 + 5.17 R<sup>2</sup> = 0.8704<sup>*</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >5.09a</td><td align="center" valign="middle" >5.04a</td><td align="center" valign="middle" >5.09a</td><td align="center" valign="middle" >5.03a</td><td align="center" valign="middle" >5.03a</td><td align="center" valign="middle" >Y = 5.06<sup>ns</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >EC</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >1.02a</td><td align="center" valign="middle" >0.87a</td><td align="center" valign="middle" >0.88a</td><td align="center" valign="middle" >0.85a</td><td align="center" valign="middle" >0.67a</td><td align="center" valign="middle" >Y = −0.04x + 1.05 R<sup>2</sup> = 0.8359<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.00a</td><td align="center" valign="middle" >0.85a</td><td align="center" valign="middle" >0.83a</td><td align="center" valign="middle" >0.66b</td><td align="center" valign="middle" >0.61a</td><td align="center" valign="middle" >Y = −0.06x + 1.05 R<sup>2</sup> = 0.9594<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >Na</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >1.16a</td><td align="center" valign="middle" >1.23a</td><td align="center" valign="middle" >1.37a</td><td align="center" valign="middle" >1.13a</td><td align="center" valign="middle" >0.60a</td><td align="center" valign="middle" >Y = −0.05x<sup>2</sup> + 0.32x + 0.83 R<sup>2</sup> = 0.9554<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.12a</td><td align="center" valign="middle" >1.12a</td><td align="center" valign="middle" >0.78b</td><td align="center" valign="middle" >0.68b</td><td align="center" valign="middle" >0.61a</td><td align="center" valign="middle" >Y = −0.09x + 1.25 R<sup>2</sup> = 0.8987<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >Ca</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >1.32a</td><td align="center" valign="middle" >1.61a</td><td align="center" valign="middle" >1.59a</td><td align="center" valign="middle" >1.68a</td><td align="center" valign="middle" >1.78a</td><td align="center" valign="middle" >Y = 0.06x + 1.33 R<sup>2</sup> = 0.8282<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.34a</td><td align="center" valign="middle" >1.62a</td><td align="center" valign="middle" >1.53a</td><td align="center" valign="middle" >1.78a</td><td align="center" valign="middle" >1.93a</td><td align="center" valign="middle" >Y = 0.08x + 1.28 R<sup>2</sup> = 0.8624<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >P</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >3.81b</td><td align="center" valign="middle" >3.83b</td><td align="center" valign="middle" >3.80b</td><td align="center" valign="middle" >3.83b</td><td align="center" valign="middle" >3.84a</td><td align="center" valign="middle" >Y = 0.004x + 3.807 R<sup>2</sup> = 0.4756<sup>*</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >3.89a</td><td align="center" valign="middle" >3.86a</td><td align="center" valign="middle" >3.87a</td><td align="center" valign="middle" >3.87a</td><td align="center" valign="middle" >3.83a</td><td align="center" valign="middle" >Y = −0.006x + 3.89 R<sup>2</sup> = 0.6047<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >H + Al</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >1.11b</td><td align="center" valign="middle" >1.04a</td><td align="center" valign="middle" >0.95b</td><td align="center" valign="middle" >1.01b</td><td align="center" valign="middle" >1.15b</td><td align="center" valign="middle" >Y = 0.01x<sup>2</sup> − 0.14x + 1.25 R<sup>2</sup> = 0.9238<sup>*</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.30a</td><td align="center" valign="middle" >1.23a</td><td align="center" valign="middle" >1.18a</td><td align="center" valign="middle" >1.35a</td><td align="center" valign="middle" >1.37a</td><td align="center" valign="middle" >Y = 1.29<sup>ns</sup></td></tr></tbody></table></table-wrap><p>Means followed with the same letter within the same column do not differ statistically.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Comparison of means of soil salinity by Tukey test for salt type</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Salt</th><th align="center" valign="middle"  colspan="5"  >Salinity levels dS∙m<sup>−1</sup></th><th align="center" valign="middle" >Equation</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.03</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >4.0</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >7.0</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >EC</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >0.34a</td><td align="center" valign="middle" >0.29a</td><td align="center" valign="middle" >0.29a</td><td align="center" valign="middle" >0.28a</td><td align="center" valign="middle" >0.22a</td><td align="center" valign="middle" >Y = −0.016x + 0.353 R<sup>2</sup> = 0.83<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >0.34a</td><td align="center" valign="middle" >0.27a</td><td align="center" valign="middle" >0.27a</td><td align="center" valign="middle" >0.23b</td><td align="center" valign="middle" >0.21a</td><td align="center" valign="middle" >Y = −0.020x + 0.352 R<sup>2</sup> = 0.92<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >Na</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >0.035a</td><td align="center" valign="middle" >0.037a</td><td align="center" valign="middle" >0.050a</td><td align="center" valign="middle" >0.037a</td><td align="center" valign="middle" >0.012a</td><td align="center" valign="middle" >Y = −0.002x<sup>2</sup> + 0.017x + 0.017 R<sup>2</sup> = 0.88<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >0.037a</td><td align="center" valign="middle" >0.029b</td><td align="center" valign="middle" >0.019b</td><td align="center" valign="middle" >0.014b</td><td align="center" valign="middle" >0.011a</td><td align="center" valign="middle" >Y = −0.004x + 0.040 R<sup>2</sup> = 0.96<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >K</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >5.04a</td><td align="center" valign="middle" >5.45a</td><td align="center" valign="middle" >6.16a</td><td align="center" valign="middle" >6.33a</td><td align="center" valign="middle" >7.10a</td><td align="center" valign="middle" >Y = 0.33x + 4.68 R<sup>2</sup> = 0.97<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >4.63a</td><td align="center" valign="middle" >5.86a</td><td align="center" valign="middle" >5.39a</td><td align="center" valign="middle" >6.57a</td><td align="center" valign="middle" >7.51a</td><td align="center" valign="middle" >Y = 0.43x + 4.26 R<sup>2</sup> = 0.85<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >Ca</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >1.44a</td><td align="center" valign="middle" >1.71a</td><td align="center" valign="middle" >1.73a</td><td align="center" valign="middle" >1.76a</td><td align="center" valign="middle" >1.86a</td><td align="center" valign="middle" >Y = 0.06x + 1.462 R<sup>2</sup> = 0.81<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.57a</td><td align="center" valign="middle" >1.76a</td><td align="center" valign="middle" >1.63a</td><td align="center" valign="middle" >1.80a</td><td align="center" valign="middle" >2.00a</td><td align="center" valign="middle" >Y = 0.06x + 1.51 R<sup>2</sup> = 0.72<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >Mg</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >5.39a</td><td align="center" valign="middle" >6.21a</td><td align="center" valign="middle" >5.84a</td><td align="center" valign="middle" >6.54a</td><td align="center" valign="middle" >6.76a</td><td align="center" valign="middle" >Y = 0.20x + 5.32 R<sup>2</sup> = 0.78<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >4.60a</td><td align="center" valign="middle" >5.66a</td><td align="center" valign="middle" >5.99a</td><td align="center" valign="middle" >6.46a</td><td align="center" valign="middle" >7.22a</td><td align="center" valign="middle" >Y = 0.40x + 4.37 R<sup>2</sup> = 0.96<sup>**</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >HCO<sub>3</sub></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >2.22a</td><td align="center" valign="middle" >1.92a</td><td align="center" valign="middle" >1.51a</td><td align="center" valign="middle" >1.38a</td><td align="center" valign="middle" >1.50a</td><td align="center" valign="middle" >Y = -0.13x + 2.24 R<sup>2</sup> = 0.79<sup>*</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.36b</td><td align="center" valign="middle" >1.55a</td><td align="center" valign="middle" >1.80a</td><td align="center" valign="middle" >1.98a</td><td align="center" valign="middle" >1.44a</td><td align="center" valign="middle" >Y = 1.63<sup>ns</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="5"  >Cl</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NaCl</td><td align="center" valign="middle" >1.79a</td><td align="center" valign="middle" >1.99a</td><td align="center" valign="middle" >1.95a</td><td align="center" valign="middle" >2.02b</td><td align="center" valign="middle" >2.28a</td><td align="center" valign="middle" >Y = 0.06x + 1.73 R<sup>2</sup> = 0.81<sup>**</sup></td></tr><tr><td align="center" valign="middle" >NaCl + CaCl<sub>2</sub></td><td align="center" valign="middle" >1.78a</td><td align="center" valign="middle" >2.04a</td><td align="center" valign="middle" >2.07a</td><td align="center" valign="middle" >2.21a</td><td align="center" valign="middle" >2.36a</td><td align="center" valign="middle" >Y = 0.08x + 1.73 R<sup>2</sup> = 0.94<sup>**</sup></td></tr></tbody></table></table-wrap><p>Means followed with the same letter within the same column do not differ statistically.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Analysis of variance for the parameters of plants at the end of experiment</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source of variation</th><th align="center" valign="middle" >D.F.</th><th align="center" valign="middle"  colspan="5"  >Mean squares</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Shoots</td><td align="center" valign="middle" >Roots</td><td align="center" valign="middle" >Inflorescence<sup>(1)</sup></td><td align="center" valign="middle" >Grain</td><td align="center" valign="middle" >SRR<sup>(</sup><sup>2</sup><sup>) </sup></td></tr><tr><td align="center" valign="middle" >Salinity levels (N)</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >70.03<sup>*</sup></td><td align="center" valign="middle" >0.24ns</td><td align="center" valign="middle" >50.045<sup>**</sup></td><td align="center" valign="middle" >3.9624<sup>**</sup></td><td align="center" valign="middle" >0.00073 ns</td></tr><tr><td align="center" valign="middle" >Linear</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >253.95<sup>**</sup></td><td align="center" valign="middle" >0.725<sup>*</sup></td><td align="center" valign="middle" >182.583<sup>**</sup></td><td align="center" valign="middle" >14.837<sup>**</sup></td><td align="center" valign="middle" >0.0022<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.13 ns</td><td align="center" valign="middle" >0.043 ns</td><td align="center" valign="middle" >7.883 ns</td><td align="center" valign="middle" >0.009 ns</td><td align="center" valign="middle" >0.0002 ns</td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >7.68 ns</td><td align="center" valign="middle" >0.085 ns</td><td align="center" valign="middle" >1.676</td><td align="center" valign="middle" >0.198 ns</td><td align="center" valign="middle" >0.0001 ns</td></tr><tr><td align="center" valign="middle" >Salts (S)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >9.50 ns</td><td align="center" valign="middle" >0.00 ns</td><td align="center" valign="middle" >1.938 ns</td><td align="center" valign="middle" >0.0232 ns</td><td align="center" valign="middle" >0.00100 ns</td></tr><tr><td align="center" valign="middle" >N &#215; S</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >14.20 ns</td><td align="center" valign="middle" >0.21 ns</td><td align="center" valign="middle" >0.153 ns</td><td align="center" valign="middle" >0.2420 ns</td><td align="center" valign="middle" >0.00090 ns</td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >16.43</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >2.770</td><td align="center" valign="middle" >0.6166 ns</td><td align="center" valign="middle" >0.00034</td></tr><tr><td align="center" valign="middle"  colspan="2"  >CV (%)</td><td align="center" valign="middle" >42.25</td><td align="center" valign="middle" >45.44</td><td align="center" valign="middle" >34.44</td><td align="center" valign="middle" >76.14</td><td align="center" valign="middle" >25.0</td></tr><tr><td align="center" valign="middle"  colspan="2"  >Mean</td><td align="center" valign="middle" >9.59</td><td align="center" valign="middle" >0.6906</td><td align="center" valign="middle" >4.8321</td><td align="center" valign="middle" >1.0313</td><td align="center" valign="middle" >0.074</td></tr></tbody></table></table-wrap><p><sup>(1)</sup>Data transformed in<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/2-2601758x24.png" xlink:type="simple"/></inline-formula>; <sup>(2)</sup>Shoot-root ratio.</p><fig-group id="fig1"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Effects of salinity levels in the shoots (a), roots (b), inflorescences (c), grains (d), and in the shoot-root ratio (e) of plants of crambe at the end of the experiment.</title></caption><fig id ="fig1_1"><label> (b)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-2601758x26.png"/></fig><fig id ="fig1_2"><label>(c)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-2601758x25.png"/></fig><fig id ="fig1_3"><label> (d)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-2601758x28.png"/></fig><fig id ="fig1_4"><label>(e)</label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-2601758x27.png"/></fig><fig id ="fig1_5"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/2-2601758x29.png"/></fig></fig-group><p>the extent of salt inhibition [<xref ref-type="bibr" rid="scirp.55522-ref2">2</xref>] . Those symptoms could be observed in crambe plants during the experimental period, corroborating with the general description on [<xref ref-type="bibr" rid="scirp.55522-ref2">2</xref>] and also with [<xref ref-type="bibr" rid="scirp.55522-ref14">14</xref>] , who studied the development of crambe plants irrigated with saline waters.</p><p>The changes in metabolism induced by salinity are consequences of several physiological responses of the plant, such as changes in ionic balance, stomatal behavior and photosynthetic efficiency. The salt concentration increases in the cytoplasm and inhibits the enzyme activity of several metabolic routes and alternatively by the compartmentalization in the vacuole, the salts can be transported to the cell wall resulting in turn in dehydration of the cell. The high concentration of sodium or other cations in soil solution interfere with the physical condition of the soil or the availability of other elements, indirectly affecting plant development [<xref ref-type="bibr" rid="scirp.55522-ref15">15</xref>] .</p><p>The shoot-root ratio increased with the salinity levels (<xref ref-type="fig" rid="fig1">Figure 1</xref>(e)), indicating that crambe plants produced a higher proportion of shoots compared to the roots even under the presence of salts in soil, which means that roots competed effectively for soil nutrients and allowed a better development of plants under salinity conditions.</p><p>It is worth evaluating the development of crambe under saline conditions in salinity levels up to 7.0 dS∙m<sup>−1</sup>, taking into account the adoption of special measures to control salinity, as leaching of salts in the soil, as [<xref ref-type="bibr" rid="scirp.55522-ref4">4</xref>] studied. These authors concluded that the two-year greenhouse experiments show that irrigation of crambe with moderate salinities (ranging from 3.0 to 9.0 dS∙m<sup>−1</sup> but adopting salt leaching from soil) is feasible and classify this crop in the moderately sensitive salt tolerance category.</p></sec><sec id="s4"><title>4. Conclusion</title><p>Salinity levels of the solutions used for irrigation in this study affected the growth of plants and grain yield of crambe. Regarding the type of salts, a higher concentration of Na was observed for NaCl solutions at 2.5, 4.0 and 5.5 dS∙m<sup>−1</sup> salinity levels. It is worth evaluating crambe growth under salinity levels ranging up to 5.0 dS∙m<sup>−1</sup>, but adopting salt leaching from soil.</p></sec><sec id="s5"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.55522-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Liu, Y., Li, X., Ma, J. and Ling, X. 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