<?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.2021.123012</article-id><article-id pub-id-type="publisher-id">AS-107617</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>
 
 
  Melon Seedlings Phytomass under Poultry Litter Biochar Doses
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Laysa</surname><given-names>Gabryella de Souza Laurentino</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>Lúcia</surname><given-names>Helena Garófalo 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>Antônio</surname><given-names>Ramos Cavalcante</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>Jean</surname><given-names>Pereira Guimarães</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>Felipe</surname><given-names>Guedes de Souza</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>Washington</surname><given-names>Benevenuto de Lima</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>Hugo</surname><given-names>Orlando Carvallo Guerra</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>Josely</surname><given-names>Dantas Fernandes</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Agricultural Engineering, Federal University of Campina Grande (DEAG/UFCG), Campina Grande, Brazil</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>03</month><year>2021</year></pub-date><volume>12</volume><issue>03</issue><fpage>181</fpage><lpage>197</lpage><history><date date-type="received"><day>2,</day>	<month>February</month>	<year>2021</year></date><date date-type="rev-recd"><day>6,</day>	<month>March</month>	<year>2021</year>	</date><date date-type="accepted"><day>9,</day>	<month>March</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The use of organic waste for the preparation of seedling substrates is an important environmental and economic option. In this perspective, substrates using biochar emerges as an alternative for seedling production due to their favorable physical and chemical characteristics. The present study aimed to evaluate the efficiency of doses of poultry litter biochar as a substrate constituent for the production and quality of the seedlings. The work was conducted in a semi protected environment, belonging to the Federal University of Campina Grande—UFCG. The statistical design used was completely randomized in a 6 &#215; 2 factorial scheme, consisting of 6 doses of biochar (0, 4, 8, 12, 16 and 20 t
  &amp;#8729;ha
  <sup>&amp;#8722;1</sup>) and two varieties of melon (Yellow and Hales Best Jumbo) with 4 repetitions totaling 48 experimental units. The fresh and dry plant phytomass mass (aerial, roots and total), root length and the quality of seedlings were evaluated. It was concluded that the addition of poultry litter biochar to the substrate was beneficial, promoting an increase in the analyzed seedling variables, being the ideal dose for good development of melon seedlings 12 t
  &amp;#8729;ha
  <sup>&amp;#8722;1</sup>. The Yellow variety presented a better response than the Hales Best Jumbo to the charcoal application. Considering the advantages of the use of poultry litter biochar on the substrate composition, found in the present study, its utilization constitutes a viable alternative for the development of melon seedlings and for the environmental disposal of the poultry litter.
 
</p></abstract><kwd-group><kwd>Biochar</kwd><kwd> &lt;i&gt;Cucumis melo&lt;/i&gt; L.</kwd><kwd> Nutrition</kwd><kwd> Alternative Substrate</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The melon (Cucumis melo L.) is an oleracea of great national and international economic importance and although being an oleracea, in Brazil is commercialized as a fruit [<xref ref-type="bibr" rid="scirp.107617-ref1">1</xref>]. The melon is much appreciated, occupying in Brazil an area of 23.324 thousand ha with a fruit production of 581.478 thousand tons [<xref ref-type="bibr" rid="scirp.107617-ref2">2</xref>]. The Northeast is highlighted as a great production region, with the Rio Grande do Norte and Cear&#225; states responsible by the biggest productions. The crop is concentrated in these regions mainly due to the favorable characteristics of the soil and climate of the semi-arid that influence positively the growth, development and productivity of the melon [<xref ref-type="bibr" rid="scirp.107617-ref3">3</xref>].</p><p>One of the main factors that influence the agronomic behavior of the oleracea is the seedlings’ production [<xref ref-type="bibr" rid="scirp.107617-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.107617-ref5">5</xref>]. In general, the success of the seedlings production is the choose of a substrate that presents adequate physical and chemical characteristics, physical support [<xref ref-type="bibr" rid="scirp.107617-ref6">6</xref>] that furnishes the necessary nutrients for an adequate plant development [<xref ref-type="bibr" rid="scirp.107617-ref7">7</xref>]. The characteristic of the substrate influences highly the seedlings development, because provides beyond of physical support, nutritional supply until the transplant of them to the definitive production local [<xref ref-type="bibr" rid="scirp.107617-ref6">6</xref>]. Good quality seedlings will develop better and will provide a radicular system with better adaptation capability for the new local after transplant, affecting significatively the production [<xref ref-type="bibr" rid="scirp.107617-ref8">8</xref>].</p><p>In this context, the use of alternative materials for the composition of organic substrates has been tested. These materials besides of contribute to an ecological equilibrium, reducing the addition of chemical product to the soil, reduce also the cost of the substrate and therefore the seedlings production [<xref ref-type="bibr" rid="scirp.107617-ref9">9</xref>]. The materials constituting the organic substrate are usually easily obtained, mainly because are normally available in the same rural property or nearby locals, as crop or industrial residues [<xref ref-type="bibr" rid="scirp.107617-ref6">6</xref>].</p><p>Among the available alternative materials, it is found the biochar, a product derived by a pyrolysis process on which vegetal biomass with a high carbon content is decomposed in an atmosphere with absence of oxygen and temperatures varying between 350˚C a 700˚C [<xref ref-type="bibr" rid="scirp.107617-ref10">10</xref>]. The biochar, attends adequately the necessary requirements for seedlings production, where its benefits are related with its properties: high porosity, high water retention availability and high cationic exchange capacity. These properties favor the nutrients retention avoiding their losses, the direct nutrient furnishment and providing a habitat for benefic microorganisms that also can promote the nutrient liberation and the absorption by the plants [<xref ref-type="bibr" rid="scirp.107617-ref11">11</xref>].</p><p>The broiler production generates a significant amount of residues, highlighting the poultry litter [<xref ref-type="bibr" rid="scirp.107617-ref12">12</xref>], constituted by a mixture of excrements, feathers, rest of feeds and lignocelluloses materials that absorb humidity found on the poultry production floors [<xref ref-type="bibr" rid="scirp.107617-ref13">13</xref>]. Due to the high risks of negative environmental impacts caused by these residues, its utilization as a raw material for the production of biochar, can become an important alternative to minimize these impacts [<xref ref-type="bibr" rid="scirp.107617-ref14">14</xref>]. According to Jeffery et al. [<xref ref-type="bibr" rid="scirp.107617-ref15">15</xref>], the poultry litter biochar’s proportionate the highest increase in growth and productivity of agricultural crops.</p><p>Chaves et al. [<xref ref-type="bibr" rid="scirp.107617-ref13">13</xref>] characterizing the poultry litter biochar for agricultural use inform that this material presents a considerable level of nutrients, mainly phosphorus and potassium, and a high cation exchange capacity, increasing thus the availability of these nutrients with positive impacts on crop production.</p><p>Pereira et al. [<xref ref-type="bibr" rid="scirp.107617-ref14">14</xref>] observed that ashes of poultry litter have higher concentration of phosphorus and potassium, essentials for the plant development, indicating thus that this material has a high potential for the biochar production.</p><p>Considering these facts and searching for a viable alternative for the production of more vigorous melon seedlings (Cucumis melo L.), the objective of the present work was to evaluate the response of the seedings to different doses of poultry litter biochar forming part of the substrate composition.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>The experiment was carried out in a greenhouse at the Agricultural Engineering Department, Federal University of Campina Grande, Paraiba State, Brazil (07˚13'11''S; 35˚53'31''W) using soil collected at the 0 - 20 cm depth layer from the Agreste Region of Para&#237;ba.</p><p>Soil samples characterized chemical and physically, according to Teixeira et al. [<xref ref-type="bibr" rid="scirp.107617-ref16">16</xref>], presented the following attributes: pH<sub>(</sub><sub>H2O)</sub> = 5.75; EC<sub>se</sub> = 0.16 dS∙m<sup>−</sup><sup>1</sup>; Ca = 1.56 cmol<sub>c</sub>∙kg<sup>−</sup><sup>1</sup>; Mg = 1.18 cmol<sub>c</sub>∙kg<sup>−</sup><sup>1</sup>; Na = 0.06 cmol<sub>c</sub>∙kg<sup>−1</sup>; K = 0.26 cmol<sub>c</sub>∙kg<sup>−1</sup>; H = 1.27 cmol<sub>c</sub>∙kg<sup>−</sup><sup>1</sup>; organic matter = 14.8 g∙kg<sup>−</sup><sup>1</sup>; P = 4.9 mg∙kg<sup>−</sup><sup>1</sup>; clay = 158.5; silt = 120.7 and sand = 720.8 g∙kg<sup>−</sup><sup>1</sup>.</p><p>The biochar utilized was generated throughout a pyrolysis process when poultry litter bed was submitted to a thermal decomposition at a temperature of 450˚C, in the absence of oxygen. After the production, biochar samples were placed in a dry oven and submitted to a temperature of 65˚C &#177; 5˚C, until constant weight, and analyzed chemically according to the Official Analytical Methods for Fertilizers and Correctives Handbook [<xref ref-type="bibr" rid="scirp.107617-ref17">17</xref>] recommended by the ASTM: D1762-84 [<xref ref-type="bibr" rid="scirp.107617-ref18">18</xref>] (2007) and developed for vegetal charcoal.</p><p>The biochar utilized had the following composition: pH<sub>(</sub><sub>H2O)</sub> = 9.45; N = 3.45%; P = 7.78%; K = 4.90%; Ca = 6.83%; Mg = 1.34%; S = 0.76%; Fe = 0.46%; Cu = 0.04%; Zn = 0.08%; Mn = 0.09%; B =0.01%; organic carbon = 39.77%; organic matter = 68.56%; C/N = 11.53% and CEC = 388.90 mmol<sub>c</sub>/kg.</p><p>The experimental design used was a completely randomized factorial, with a 6 &#215; 2 scheme, consisting of six doses of biochar (D0 = 0, D4 = 4, D8 = 8, D12 = 12, D16 = 16, and D20 = 20 t∙ha<sup>−</sup><sup>1</sup>) and two melon varieties (V1 = Yellow and V2 = Hales Best Jumbo) with 4 replicates, totalizing 48 experimental units.</p><p>The experimental units consisted of plastic bags (15 &#215; 28 cm) with holes on their bottom for water drainage, filled with dried soil, biochar and vermiculite and sieved on a 2 mm mesh sieve. These substrates consisted of a mixture of soil and vermiculite in a 1:10 ratio, and the increasing doses of biochar (0; 10; 20; 30; 40 and 50 grams of biochar per kg of soil). Afterwards they were left in incubation for a period of 90 days keeping the substrates moisture close to the field capacity. The addition of vermiculite in the experimental units aimed to make the soil less dense and compacted, as well as airier. After the incubation period, substrate samples were collected from the experimental units, air-dried, grounded, sieved with a 2 mm mesh and analyzed according to the methodology proposed by [<xref ref-type="bibr" rid="scirp.107617-ref16">16</xref>].</p><p>Sowing was carried out by placing in each experimental unit four seeds distributed equidistantly at 2 cm soil depth, and after fourteen days plants thinning was conducted keeping the most vigorous plant in each experimental unit.</p><p>Manual irrigation was carried out daily in order to keep the soil to the field capacity aiming the best germination of the seeds, the emergence of seedlings and plant development. Undesired plants that appeared in the experimental units during the experiment were eliminated manually. No mineral fertilization was used in the experiment.</p><p>Thirty-one days after sowing (DAS), the seedlings were collected evaluating the fresh phytomass of the leaf (FLP), of the stem (FSP), of the aerial part of the plant (FAP), of the root (FRP) and of the total phytomass (FTP). Also were evaluated the dry phytomass of the leaf (DLP), of the stem (DSP), of the aerial part of the plant (DAP), of the root (DRP) and of the total phytomass (DTP). Finally, the root length and the Quality Index of Dickson (DQI) were evaluated.</p><p>The fresh phytomass was determined sectioning the plants in leaves, stem and roots and weighed in an analytical balance. The roots were carefully retired, washed and measured their length. The dry phytomass was determined washing the fresh harvested plant material with deionized water and dried on an oven with forced ventilation at 65˚C until a constant weight was achieved.</p><p>The Quality Index of Dickson (DQI), which considers the equilibrium of the most important plant biomass components evaluated, such as plant height, stem diameter and biomass [<xref ref-type="bibr" rid="scirp.107617-ref19">19</xref>] was obtained by using the Equation (1) [<xref ref-type="bibr" rid="scirp.107617-ref20">20</xref>]:</p><p>D Q I = T D P P H S D + A D P R D P (1)</p><p>where: DQI = Quality Index of Dickson; TDF = Total dry phytomass (g∙planta<sup>−</sup><sup>1</sup>); ADP Aerial dry phytomass (g∙planta<sup>−</sup><sup>1</sup>); RDP = Root dry phytomass (g∙planta<sup>−</sup><sup>1</sup>); PH = plant height (cm) and SD = stem diameter (mm).</p><p>Plant height (PH) in cm, was measured with a tape and the stem diameter (SD) in mm, with the aid of a digital caliper, placing it on the plant’s neck. Plant height and stem diameter information was obtained from research in press.</p><p>The results obtained were submitted to the homogeneity (Cochran and Bartlett), and to the normality test (Shapiro-Wilk). With the exception of the root length and the aerial dry phytomass, the other parameters were submitted to the analysis of variance by the F test at 1 and 5% probability. When there was significant effect for these, polynomial regression analysis was used for biochar doses. Comparison between melon varieties conducted by using the T-student test (p-value or p &lt; 0.05, is the level of confidence).</p><p>To attend normality for the variables FLP, FSP, FRP e FTP, they were transformed in x 1.7929 − 1 1.7929 ; x 0.9848 − 1 0.9848 ; x and x 0.3787 − 1 0.3787 , respectively. The root length (RL) and aerial dry phytomass data (DAP), which did not reach the requirements of normality for the ANOVA tests, were analyzed utilizing the Kruskal and Wallis non-parametric statistical method [<xref ref-type="bibr" rid="scirp.107617-ref21">21</xref>].</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>After applying biochar to the soils and incubating for 90 days, the poultry litter biochar doses affected significantly influenced all chemical properties of the soil (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Soil pH values increased in a quadratic way after the addition of the biochar where the highest pH value was 7.55 with the 17.18 t∙ha<sup>−</sup><sup>1</sup> dose (<xref ref-type="fig" rid="fig1">Figure 1</xref>(a)), producing an increase of 25%, with respect to the 0 dose. This increase was expected since the pH of the poultry litter biochar was 9.45. According to Sparks [<xref ref-type="bibr" rid="scirp.107617-ref22">22</xref>], changes in soil pH occur when cations from biochar remove aluminum (Al) from the clay and/or organic matter exchange sites reacting it with soluble monomeric Al species, or due the subsequent dissolution of hydroxides and carbonates [<xref ref-type="bibr" rid="scirp.107617-ref23">23</xref>]. Therefore, the biochar acts as a soil acidity corrector.</p><p>The Electrical Conductivity (EC) of the substrate increased linearly with the biochar reaching a value of 1.45 dS∙m<sup>−</sup><sup>1</sup> for the 20 t∙ha<sup>−</sup><sup>1</sup> dose (<xref ref-type="fig" rid="fig1">Figure 1</xref>(b)). The results agree with [<xref ref-type="bibr" rid="scirp.107617-ref24">24</xref>] who also working with poultry litter biochar doses observed an increase of the EC, with the biochar application reaching a value of 0.39 dS∙m<sup>−</sup><sup>1</sup> with the 30 t∙ha<sup>−</sup><sup>1</sup> dose. The increase of the EC of the substrate with the biochar is related with the increase of the exchangeable bases of potassium calcium, magnesium and sodium, available in the biochar, as will be commented afterwards.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Analysis of variance for the pH, electrical conductivity (EC), calcium Ca), magnesium (Mg), sodium (Na), potassium (K), organic matter (OM), organic carbon (C) and phosphorus (P) in the substrate as influenced by the biochar doses</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Source of Variation</th><th align="center" valign="middle"  rowspan="2"  >DF</th><th align="center" valign="middle"  colspan="9"  >Mean Square</th></tr></thead><tr><td align="center" valign="middle" >pH</td><td align="center" valign="middle" >EC</td><td align="center" valign="middle" >Ca<sup>1</sup></td><td align="center" valign="middle" >Mg</td><td align="center" valign="middle" >Na</td><td align="center" valign="middle" >K</td><td align="center" valign="middle" >OM</td><td align="center" valign="middle" >C</td><td align="center" valign="middle" >P</td></tr><tr><td align="center" valign="middle" >Biochar Doses</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >1.45**</td><td align="center" valign="middle" >0.45**</td><td align="center" valign="middle" >0.057*</td><td align="center" valign="middle" >11.92*</td><td align="center" valign="middle" >0.55**</td><td align="center" valign="middle" >9.80**</td><td align="center" valign="middle" >309.57**</td><td align="center" valign="middle" >104.16**</td><td align="center" valign="middle" >55101.73*</td></tr><tr><td align="center" valign="middle" >Linear</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >6.12**</td><td align="center" valign="middle" >2.10**</td><td align="center" valign="middle" >0.028*</td><td align="center" valign="middle" >14.86**</td><td align="center" valign="middle" >2.74**</td><td align="center" valign="middle" >47.61**</td><td align="center" valign="middle" >1499.1**</td><td align="center" valign="middle" >504.40**</td><td align="center" valign="middle" >150709.5**</td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.98**</td><td align="center" valign="middle" >0.01<sup>ns</sup></td><td align="center" valign="middle" >0.099**</td><td align="center" valign="middle" >32.43**</td><td align="center" valign="middle" >0.006<sup>ns</sup></td><td align="center" valign="middle" >0.38**</td><td align="center" valign="middle" >13.8<sup>ns</sup></td><td align="center" valign="middle" >4.64<sup>ns</sup></td><td align="center" valign="middle" >120797.1**</td></tr><tr><td align="center" valign="middle" >Desvio</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.04*</td><td align="center" valign="middle" >0.05**</td><td align="center" valign="middle" >0.053**</td><td align="center" valign="middle" >4.10<sup>ns</sup></td><td align="center" valign="middle" >0.010<sup>ns</sup></td><td align="center" valign="middle" >0.33**</td><td align="center" valign="middle" >11.6<sup>ns</sup></td><td align="center" valign="middle" >3.91<sup>ns</sup></td><td align="center" valign="middle" >1333.9<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >0.009</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" >0.006</td><td align="center" valign="middle" >1.37</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >6.94</td><td align="center" valign="middle" >2.33</td><td align="center" valign="middle" >6696.06</td></tr><tr><td align="center" valign="middle" >CV(%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.41</td><td align="center" valign="middle" >8.84</td><td align="center" valign="middle" >12.56</td><td align="center" valign="middle" >13.74</td><td align="center" valign="middle" >9.19</td><td align="center" valign="middle" >5.49</td><td align="center" valign="middle" >9.04</td><td align="center" valign="middle" >9.04</td><td align="center" valign="middle" >37.43</td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >7.06</td><td align="center" valign="middle" >1.02</td><td align="center" valign="middle" >0.60</td><td align="center" valign="middle" >8.53</td><td align="center" valign="middle" >1.12</td><td align="center" valign="middle" >2.51</td><td align="center" valign="middle" >29.14</td><td align="center" valign="middle" >16.90</td><td align="center" valign="middle" >218.61</td></tr></tbody></table></table-wrap><p>DF: Degree of Freedom; * and**: significant (0.05 ≤ p) and (0.01 ≤ p) probability of error. <sup>ns</sup>: not significant; CV: Coefficient of Variation; <sup>1</sup>= data transformed into 1 / x .</p><p>Ayers and Westcot [<xref ref-type="bibr" rid="scirp.107617-ref25">25</xref>] indicate that substrates with an Electrical Conductivity over 1 dS∙m<sup>−</sup><sup>1</sup> prejudice most of the plants sensible to salinity conditions. In the present study, the substrates that received more than 10 t∙ha<sup>−</sup><sup>1</sup> and presented CE values over 1 dS∙m<sup>−</sup><sup>1</sup> prejudicated the melon seedlings behavior. Silva et al. [<xref ref-type="bibr" rid="scirp.107617-ref26">26</xref>] utilizing poultry litter biochar in substrates with arugula obtained an electrical conductivity of 3.05 dS∙m<sup>−</sup><sup>1</sup> observed elevated concentrations of potassium and phosphorus in the substrate, and low dry phytomass of the aerial, root and total part of the plant, results similar to the ones obtained in the present work. Equal results were also reported by [<xref ref-type="bibr" rid="scirp.107617-ref27">27</xref>] working with lemon rootstocks.</p><p>The exchangeable cations content (potassium and sodium) increased with poultry litter biochar concentrations in a quadratic and linear form, respectively, which is in accordance with previous studies [<xref ref-type="bibr" rid="scirp.107617-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.107617-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.107617-ref29">29</xref>]. According to <xref ref-type="fig" rid="fig1">Figure 1</xref>(c) and <xref ref-type="fig" rid="fig1">Figure 1</xref>(d), the concentrations of potassium and sodium, 4.40 cmol<sub>c</sub>∙kg<sup>−</sup><sup>1</sup> and 1.61 cmol<sub>c</sub>∙kg<sup>−</sup><sup>1</sup>, were obtained with the highest dose of biochar (20 t∙ha<sup>−</sup><sup>1</sup>), with an increase of around 1492% and 160%, between these values and the control, respectively. These data are similar to the 1754% and 151%, found by [<xref ref-type="bibr" rid="scirp.107617-ref29">29</xref>], evaluating an increase in the levels of potassium and sodium in soil with application of the same biochar. The release of these elements in the soil influences the growth of plants, as occurred in the present research in relation to the development of seedlings (<xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>The available phosphorus increased with the biochar obtaining the highest concentration (312.68 mg∙dm<sup>−</sup><sup>3</sup>) with the dose of 13.26 t∙ha<sup>−</sup><sup>1</sup> of biochar (<xref ref-type="fig" rid="fig1">Figure 1</xref>(e)), i.e., there were increased of 3905% in relation to control, corroborating [<xref ref-type="bibr" rid="scirp.107617-ref29">29</xref>] who observed a 5131% increase in her experiment. This high significantly increase is probably due to the presence of potassium phosphate in the biochar composition, or because biochar of chicken manure in the soil increase mycorrhizal colonization and the availability of phosphorus P in the soil.</p><p>According to Bohara et al. [<xref ref-type="bibr" rid="scirp.107617-ref30">30</xref>] biochar changes the relative distribution of phosphorus species in the soil in a beneficial way increasing their availability for crops. Therefore, this fact probably influenced significantly the seedling production variables as will be shown in <xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p><p>The content of soil organic carbon increased linearly with biochar concentrations (<xref ref-type="fig" rid="fig1">Figure 1</xref>(f)). This is probably because biochar also undergoes biodegradation, although it is considered stable in the soil system [<xref ref-type="bibr" rid="scirp.107617-ref28">28</xref>].</p><p>Observing the variance analyses for the melon seedlings variables studied (<xref ref-type="table" rid="table2">Table 2</xref>), it was observed high significant effects of the applied doses of biochar on the isolated factors as much of their interactions.</p><p>The variance analyses for the fresh leaf phytomass (FLP), for the stem (FSP), for the aerial part of the plant (FAP) and for the total fresh phytomass (FTP) of the Hales Best Jumbo variety showed high significant effects of the biochar doses on the variables studied, however, as the coefficients of determination (R<sup>2</sup>) were very low for quadratic regressions, 0.19; 0.35; 0.30; 0.41, respectively, do not represent their behavior. Therefore, these regressions are not discussed.</p><p>With respect to the fresh leaf phytomass (FLP) (<xref ref-type="fig" rid="fig2">Figure 2</xref>(a)), the results were adjusted to a quadratic model where the Yellow variety (V1) obtaining a FLP of 149.52 g (22.66 g, not transformed data) with the biochar dose of 10.38 t∙ha<sup>−</sup><sup>1</sup>. Petter et al. [<xref ref-type="bibr" rid="scirp.107617-ref31">31</xref>] (2012a), evaluating the potential of wood biochar for the production of eucalyptus seedlings utilizing 5 biochar concentrations added to a commercial substrate, observed that the best results were obtained in the substrates with 7.5% of biochar, thus as in the present work, lower concentration of biochar produced better production.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Analyzes of variance for the fresh leaf phytomass (FLP), for the stem (FSP), for the aerial part of the plant (FAP), for the root (FRP) and for the total fresh phytomass (FTP) of the melon varieties submitted to biochar doses</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Source of variation</th><th align="center" valign="middle"  colspan="5"  >Mean square</th></tr></thead><tr><td align="center" valign="middle" >FLP</td><td align="center" valign="middle" >FSP</td><td align="center" valign="middle" >FAP</td><td align="center" valign="middle" >FRP</td><td align="center" valign="middle" >FTP</td></tr><tr><td align="center" valign="middle" >Biochar dose (D)</td><td align="center" valign="middle" >13,422.03**</td><td align="center" valign="middle" >55.18**</td><td align="center" valign="middle" >383.75**</td><td align="center" valign="middle" >37.17**</td><td align="center" valign="middle" >643.12**</td></tr><tr><td align="center" valign="middle" >Melon Variety (V)</td><td align="center" valign="middle" >3482.63**</td><td align="center" valign="middle" >48.18**</td><td align="center" valign="middle" >0.07<sup>ns</sup></td><td align="center" valign="middle" >0.02<sup>ns</sup></td><td align="center" valign="middle" >0.01<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >D x V</td><td align="center" valign="middle" >5612.92**</td><td align="center" valign="middle" >17.54**</td><td align="center" valign="middle" >118.42**</td><td align="center" valign="middle" >4.58<sup>ns</sup></td><td align="center" valign="middle" >166.99**</td></tr><tr><td align="center" valign="middle" >Dose within V1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >Linear</td><td align="center" valign="middle" >801.0*</td><td align="center" valign="middle" >2.91<sup>ns</sup></td><td align="center" valign="middle" >32.99**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >100.92**</td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >4702.2**</td><td align="center" valign="middle" >186.75**</td><td align="center" valign="middle" >1426.42**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2316.03**</td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >1767.7**</td><td align="center" valign="middle" >26.43**</td><td align="center" valign="middle" >48.23**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >71.34**</td></tr><tr><td align="center" valign="middle" >Dose within V2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></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" >Linear</td><td align="center" valign="middle" >1637.5**</td><td align="center" valign="middle" >19.07**</td><td align="center" valign="middle" >106.91**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >198.35**</td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >6549.2**</td><td align="center" valign="middle" >14.35**</td><td align="center" valign="middle" >164.06**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >377.25**</td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >11,285.1**</td><td align="center" valign="middle" >20.41**</td><td align="center" valign="middle" >211.92**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >281.33**</td></tr><tr><td align="center" valign="middle" >Residue</td><td align="center" valign="middle" >128.26</td><td align="center" valign="middle" >48.498</td><td align="center" valign="middle" >3.74</td><td align="center" valign="middle" >2.12</td><td align="center" valign="middle" >7.92</td></tr><tr><td align="center" valign="middle" >Variation Coefficient</td><td align="center" valign="middle" >10.67</td><td align="center" valign="middle" >10.58</td><td align="center" valign="middle" >6.63</td><td align="center" valign="middle" >34.86</td><td align="center" valign="middle" >8.44</td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >106.11</td><td align="center" valign="middle" >10.97</td><td align="center" valign="middle" >29.17</td><td align="center" valign="middle" >4.18</td><td align="center" valign="middle" >33.35</td></tr></tbody></table></table-wrap><p>*, **significant to the 0.05 and 0.01 probability, respectively, <sup>ns</sup>not significant.</p><p>For the fresh stem phytomass, FSP (<xref ref-type="fig" rid="fig2">Figure 2</xref>(b)), the data was adjusted to a quadratic model with a maximum value of 15.24 g with the biochar dose of 10.36 t∙ha<sup>−</sup><sup>1</sup> for the Yellow variety.</p><p>Evaluating the significant interaction effect of the biochar doses for the FAP of the Yellow variety (<xref ref-type="fig" rid="fig2">Figure 2</xref>(c)) it was observed that the results were adjusted to a quadratic model with the highest production of 38.26 g for the dose of 10.44 t∙ha<sup>−</sup><sup>1</sup>. Galv&#227;o et al. [<xref ref-type="bibr" rid="scirp.107617-ref32">32</xref>] evaluating the behavior of chicory seeedlings (Eryngium foetidum L.) when submitted to chemical and organic fertilization associated to biochar, observed positive results with an aerial fresh phytomass of 0.48 g∙planta<sup>−</sup><sup>1</sup> when compared to the witness with only 0.26 g∙planta<sup>−</sup><sup>1</sup>, a production 85% higher. The fresh phytomass of the root (FRP) was affected significantly by the biochar doses following a quadratic model with a maximum production of 6.29 g with the estimated biochar doses of 11.38 t∙ha<sup>−</sup><sup>1</sup>, decreasing with further increase of biochar (<xref ref-type="fig" rid="fig2">Figure 2</xref>(d)). Evaluating the effect of the addition of eucalyptus sawdust biochar on the lettuce fresh phytomass of the root, Silva et al. [<xref ref-type="bibr" rid="scirp.107617-ref33">33</xref>] also observed a quadratic tendence obtaining the maximum FRP with the substrate containing 5% of biochar.</p><p>Evaluating the significant interaction effect of the biochar doses on the fresh total phytomass (<xref ref-type="fig" rid="fig2">Figure 2</xref>(e)) it was verified that the data was adjusted to a quadratic model with a maximum production of 44.97 g with the dose of 10.62 t∙ha<sup>−</sup><sup>1</sup>, for the Yellow variety. The high FTP observed with the biochar application<sup> </sup>demonstrate a good performance of the melon seedlings at biochar application, fact probably due to the high nutrient availability that the biochar produces [<xref ref-type="bibr" rid="scirp.107617-ref30">30</xref>] mainly due to the presence of reactive surfaces of the aromatized structures in the biochar pores [<xref ref-type="bibr" rid="scirp.107617-ref34">34</xref>].</p><p>The biochar doses affected significatively all the dry phytomass evaluated. The melon varieties affected only the dry stem phytomass (DSP) and the Dickson quality index (DQI). The biochar doses x melon variety affected the DLP, the DRP, the DTP and also the DQI (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>The biochar doses x varieties interaction influenced significatively the dry leaf phytomass (<xref ref-type="fig" rid="fig3">Figure 3</xref>(a)) presenting a quadratic adjust just for the Yellow variety (V1) with a maximum phytomass of 1.26 g (2.27 g not transformed) for the dose of 8.82 t∙ha<sup>−</sup><sup>1</sup>.</p><p>Analyzing the dry stem phytomass (DSP) as affected by the biochar doses (<xref ref-type="fig" rid="fig3">Figure 3</xref>(b)), it was observed that the data was adjusted to a quadratic model with the highest phytomass (0.98 g) obtained with the biochar dose of 10.06 t∙ha<sup>−</sup><sup>1</sup>. For the dry root phytomass (DRP) it is possible to observe a quadratic performance for both varieties with a maximum of 1.57 g (2.46 g—not transformed) for the dose of 10.71 t∙ha<sup>−</sup><sup>1</sup> for the Yellow variety and 1.34 g (1.39 g—not transformed) for the dose of 12.04 t∙ha<sup>−</sup><sup>1</sup> for the Hales Best Jumbo (<xref ref-type="fig" rid="fig3">Figure 3</xref>(c)). Working with Tachigali vulgaris, Souchie et al. [<xref ref-type="bibr" rid="scirp.107617-ref35">35</xref>] verified that the application of eucalyptus wood biochar to the substrate started to be significative important for the dry root phytomass after the application of a volume equal to the 12.5% of the total volume of the substrate.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Analyzes of variance for the dry leaf phytomass (DLP), dry stem phytomass (DSP), dry root phytomass (DRP), dry total phytomass (DTP) and for the Dickson quality index (DQI) for the melon varieties submitted to biochar doses</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="5"  >Mean Square</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >DLP</td><td align="center" valign="middle" >DSP</td><td align="center" valign="middle" >DRP</td><td align="center" valign="middle" >DTP</td><td align="center" valign="middle"  colspan="2"  >DQI</td></tr><tr><td align="center" valign="middle" >Biochar doses (D)</td><td align="center" valign="middle" >1.06**</td><td align="center" valign="middle" >0.61**</td><td align="center" valign="middle" >1.6**</td><td align="center" valign="middle" >3.10**</td><td align="center" valign="middle"  colspan="2"  >0.133**</td></tr><tr><td align="center" valign="middle" >Melon variety (V)</td><td align="center" valign="middle" >0.06<sup>ns</sup></td><td align="center" valign="middle" >0.73**</td><td align="center" valign="middle" >0.0005<sup>ns</sup></td><td align="center" valign="middle" >0.01<sup>ns</sup></td><td align="center" valign="middle"  colspan="2"  >0.068**</td></tr><tr><td align="center" valign="middle" >D x V Interaction</td><td align="center" valign="middle" >0.42*</td><td align="center" valign="middle" >0.06<sup>ns</sup></td><td align="center" valign="middle" >0.28**</td><td align="center" valign="middle" >0.74**</td><td align="center" valign="middle"  colspan="2"  >0.025*</td></tr><tr><td align="center" valign="middle" >Dose within V1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Linear</td><td align="center" valign="middle" >0.52<sup>ns</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.36*</td><td align="center" valign="middle" >9.00e<sup>−6ns</sup></td><td align="center" valign="middle"  colspan="2"  >0.006<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >3.33**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >4.60**</td><td align="center" valign="middle" >11.59**</td><td align="center" valign="middle"  colspan="2"  >0.31**</td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >0.20<sup>ns</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.25**</td><td align="center" valign="middle" >0.38*</td><td align="center" valign="middle"  colspan="2"  >0.04**</td></tr><tr><td align="center" valign="middle" >Dose within V2</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Linear</td><td align="center" valign="middle" >0.01<sup>ns</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.63**</td><td align="center" valign="middle" >0.703*</td><td align="center" valign="middle"  colspan="2"  >0.02<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Quadratic</td><td align="center" valign="middle" >0.90<sup>ns</sup></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >1.17**</td><td align="center" valign="middle" >2.085**</td><td align="center" valign="middle"  colspan="2"  >0.19**</td></tr><tr><td align="center" valign="middle" >Deviation</td><td align="center" valign="middle" >0.93**</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.37**</td><td align="center" valign="middle" >1.250**</td><td align="center" valign="middle"  colspan="2"  >0.03*</td></tr><tr><td align="center" valign="middle" >Res&#237;due</td><td align="center" valign="middle" >0.13</td><td align="center" valign="middle" >0.027</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.11</td><td align="center" valign="middle"  colspan="2"  >0.009</td></tr><tr><td align="center" valign="middle" >VariationCoefficient</td><td align="center" valign="middle" >44.11</td><td align="center" valign="middle" >22.05</td><td align="center" valign="middle" >20.98</td><td align="center" valign="middle" >20.02</td><td align="center" valign="middle"  colspan="2"  >34.08</td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >0.85</td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >1.06</td><td align="center" valign="middle" >1.71</td><td align="center" valign="middle"  colspan="2"  >0.29</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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*, **significant to the 0.05 and 0.01 probability, respectively, <sup>ns</sup>not significant.</p><p>It was also observed a significative effect of the dry total phytomass and a quadratic performance for both varieties with a maximum of 2.53 g (5.89 g—not transformed) for the dose of 10.01 t∙ha<sup>−</sup><sup>1</sup> for the Yellow variety and 2.06 g (4.58 g—not transformed) for the dose of 11.68 t∙ha<sup>−</sup><sup>1</sup> for the Hales Best Jumbo (<xref ref-type="fig" rid="fig3">Figure 3</xref>(d)). The dry total phytomass is normally used to express the productivity of the plant [<xref ref-type="bibr" rid="scirp.107617-ref36">36</xref>]. The optimum biochar doses for both varieties, found on the present work, are similar to the 11.39 g found by [<xref ref-type="bibr" rid="scirp.107617-ref37">37</xref>] who evaluated the effect of different doses of vegetal charcoal (0%, 10%, 30%, 50% and 70 % in volume of charcoal per soil volume) on the seedlings production of Brazilian chestnuts (Bertholletia excelsa H. B. K).</p><p>Analyzing the effect of the varieties (<xref ref-type="fig" rid="fig3">Figure 3</xref>(e)), the best results were obtained with the Yellow variety (0.83 g), 22.06% bigger than the one obtained for the Hales Best Jumbo (0.68 g).</p><p>The root length for both melon varieties were also analyzed utilizing the Kruskal and Wallis, non-parametric method [<xref ref-type="bibr" rid="scirp.107617-ref21">21</xref>] (<xref ref-type="fig" rid="fig3">Figure 3</xref>(g)), It was observed that the Yellow variety responded better that the Hales Best Jumbo with the biochar application. The higher values of the Yellow variety, when the substrate was fertilized with 12 and 20 t∙ha<sup>−</sup><sup>1</sup> of biochar were of 26.5 to 30.88 cm, and for the Hales Best Jumbo of 23.75 to 25.8 cm with an application of 8 and 16 t∙ha<sup>−</sup><sup>1</sup> of biochar (not transformed data).</p><p>Mendes et al. [<xref ref-type="bibr" rid="scirp.107617-ref38">38</xref>] studying the effect of different substrates (coconut fiber, worm humus, vermiculite and sieved carnauba rests) found that the physical characteristics of the used substrates influenced the root growth, indicating that the substrate that proportionated the bigger aeration and water retention produced the better root formation of the carnauba seedlings. Zanetti et al. [<xref ref-type="bibr" rid="scirp.107617-ref27">27</xref>] confirm this, indicating that the biochar application increase porosity and aeration improving the root exploration. Melo et al. [<xref ref-type="bibr" rid="scirp.107617-ref39">39</xref>] add that a greater root development is very important for the plant growth, considering that well developed roots can provide a greater water and nutrients absorption. Hermann [<xref ref-type="bibr" rid="scirp.107617-ref40">40</xref>] indicates that the dry root phytomass is one of the most important parameters for the establishment and survival of the seedlings in the field, because the roots are totally associated with the physiological characteristics of the seedlings.</p><p>When the dry aerial phytomass data (<xref ref-type="fig" rid="fig3">Figure 3</xref>(h)) was analyzed by the Kruskal and Wallis, non-parametric method [<xref ref-type="bibr" rid="scirp.107617-ref21">21</xref>] it was observed the higher values of the Yellow variety, when the substrate was fertilized with 4 t∙ha<sup>−</sup><sup>1</sup> of biochar obtaining a dry phytomass of 3.57 g∙plant<sup>−</sup><sup>1</sup>, and a phytomass for the Hales Best Jumbo of 3.49 4 t∙ha<sup>−</sup><sup>1</sup> with an application of a doses 4 t∙ha<sup>−</sup><sup>1</sup> of biochar, decreasing with higher doses. Souza et al. [<xref ref-type="bibr" rid="scirp.107617-ref41">41</xref>] comparing the poultry bed biochar with the Plantmax&#174; commercial substrate indicate that considering the dry aerial phytomass and the low cost of the first product it can efficiently substitutes the commercial one.</p><p>Silva et al. [<xref ref-type="bibr" rid="scirp.107617-ref28">28</xref>] studying the use of rice bark biochar, saw dust and sorghum silage rests observed that the biochar concentration of 2.5%, 5% and 7.5% v/v incremented the dry root, the dry aerial and the dry total plant phytomass.</p><p>The results found in the present work are probably related to the high nutrient concentration of the biochar. The organic matter accumulation and nutrient availability, such as phosphorus and potassium, furnished by the biochar application are related to a formation of carbon skeletons in the substrate structure, which permit a satisfactory development of the plants [<xref ref-type="bibr" rid="scirp.107617-ref42">42</xref>] [<xref ref-type="bibr" rid="scirp.107617-ref43">43</xref>].</p><p>The biochar doses x variety interaction influenced significatively the Dickson Quality Index (<xref ref-type="fig" rid="fig3">Figure 3</xref>(f)), varying from 0.049 to 0.055 for the Yellow variety (V1) and 0.435 to 0.076 for the Hales Best Jumbo (V2) adjusting both of them to a quadratic model. For the V1 variety the highest DQI was 0.37 with 10.31 t∙ha<sup>−</sup><sup>1</sup> and 0.43 for V2 with 11.09 t∙ha<sup>−</sup><sup>1</sup>. Considering that the minimum DQI recommended by Hunt [<xref ref-type="bibr" rid="scirp.107617-ref44">44</xref>] is 0.20, the values found in the present study for this index indicate that the melon seedlings are of high quality and appropriated for the transplanting to the definitive local. A large Dickson Quality Index (DQI) value indicates a more desirable phenotype and the greater the DQI, the better the seedlings vigor (SV), indicating robustness and balance in the distribution of biomass in the seedling [<xref ref-type="bibr" rid="scirp.107617-ref45">45</xref>].</p><p>Melo et al. [<xref ref-type="bibr" rid="scirp.107617-ref39">39</xref>] observed that the highest values of dry phytomass (leaves, stem and roots) and root length of the guabiroba were related to the highest Ca and Mg concentrations of the substrate and with the N, P, K and S availability due to the increase of the substrate pH. The pH variation of the substrates found in the present study (<xref ref-type="table" rid="table1">Table 1</xref>) are within the adequate interval for the melon plant, which behave better between 6.0 to 7.5, no influencing the nutrient availability.</p></sec><sec id="s4"><title>4. Conclusions</title><p>In a bid to enhance to produce seedlings of better quality using alternative materials for the composition of organic substrates, this study evaluated the response of these seedlings to different doses of poultry litter biochar.</p><p>The fresh and dry phytomass of the melon and the quality of the melon seedlings increased with the poultry litter biochar doses utilized on the substrate.</p><p>The application of 12 t∙ha<sup>−</sup><sup>1</sup> of biochar produced the best development, phytomass and quality of the seedlings; higher doses of biochar reduced the seedlings quality.</p><p>The Yellow variety responded better than the Hales Best Jumbo to the biochar application.</p><p>Considering the advantages of poultry litter biochar on the substrate constitution, its utilization constitutes a viable alternative for the development of the melon seedlings and for the environmental disposal of the poultry litter.</p></sec><sec id="s5"><title>Acknowledgements</title><p>To the Coordination for the Improvement of Higher Education Personnel-CAPES for granting scholarships to the first author.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>de Souza Laurentino, L.G., Chaves, L.H.G., Cavalcante, A.R., Guimar&#227;es, J.P., de Souza, F.G., de Lima, W.B., Guerra, H.O.C. and Fernandes, J.D. (2021) Melon Seedlings Phytomass under Poultry Litter Biochar Doses. Agricultural Sciences, 12, 181-197. https://doi.org/10.4236/as.2021.123012</p></sec></body><back><ref-list><title>References</title><ref id="scirp.107617-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Figueiredo, M.C.B., Gondim, R.S. and De Aragao, F.A.S. (2017) Produ&amp;#231;&amp;#227;o de mel&amp;#227;o e mudan&amp;#231;as climáticas: Sistemas conservacionistas de cultivo para redu&amp;#231;&amp;#227;o das pegadas de carbono e hídrica. Embrapa Agroindústria Tropical-Livro técnico (INFOTECA-E). http://ainfo.cnptia.embrapa.br/digital/bitstream/item/163048/1/OLV17001.pdf</mixed-citation></ref><ref id="scirp.107617-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">FAO (2019) Food and Agriculture Organization of the United Nations. Crops. 2014. http://faostat.fao.org/site/567/DesktopDefault.aspx?PageID=567#ancor</mixed-citation></ref><ref id="scirp.107617-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Nascimento, C.W.A., De Souza Nunes, G.H., Preston, H.A.F., Da Silva, F.B.V., Preston, W. and Loureiro, F.L.C. (2020) Influence of Silicon Fertilization on Nutrient Accumulation, Yield and Fruit Quality of Melon Grown in Northeastern Brazil. Silicon, 12, 937-943. https://doi.org/10.1007/s12633-019-00187-5</mixed-citation></ref><ref id="scirp.107617-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Nadai, F.B., Menezes, J.B.D.C., Rodrigues, H.C., Cat&amp;#227;o, M., Advíncula, T. and Costa, C.A. (2015) Produ&amp;#231;&amp;#227;o de mudas de tomateiro em fun&amp;#231;&amp;#227;o de diferentes formas de propaga&amp;#231;&amp;#227;o e substratos. Revista Agroambiente, 9, 261-267. https://doi.org/10.18227/1982-8470ragro.v9i3.2348</mixed-citation></ref><ref id="scirp.107617-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Zeist, A.R., Resende, J.T.V.D., Giacobbo, C.L., Faria, C., Rios, M.D. and Dias, D.M. (2017) Graft Takes of Tomato on Other Solanaceous Plants. Revista Caatinga, 30, 513-520. https://doi.org/10.1590/1983-21252017v30n227rc</mixed-citation></ref><ref id="scirp.107617-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Pelloso, M.F., Farias, B.G.A.C. and De Paiva, A.S. (2020) Produ&amp;#231;&amp;#227;o de mudas de meloeiro em substrato a base de ramas de mandioca submetido a diferentes períodos de compostagem. Colloquium Agrariae, 16, 87-100. https://doi.org/10.5747/ca.2020.v16.n1.a351</mixed-citation></ref><ref id="scirp.107617-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Farias, G.A., Costa, A.C., Costa, S.F., Farias, G.A., Pereira, P.H.F. and Junior, L.F.C. (2019) Produ&amp;#231;&amp;#227;o de mudas de maracujazeiro amarelo em substratos contendo resíduos vegetais. Colloquium Agrariae, 15, 141-148. https://doi.org/10.5747/ca.2019.v15.n1.a278</mixed-citation></ref><ref id="scirp.107617-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Silva, R.V., Rodrigues, L.A., Silva, M.G., Silva, B.G. and Martins, M.A. (2019) Biochar and Mucuna Increase Papaya Plant Growth and Nutrition, as Well as Soil Fertility. Pesquisa Agropecuária Tropical, 49, 1-9. https://doi.org/10.1590/1983-40632019v4955210</mixed-citation></ref><ref id="scirp.107617-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Costa, E., Jorge, M.H., Schwerz, F. and Cortelassi, J.D.S. (2013) Emergência E Fitomassa De Mudas De Piment&amp;#227;o Em Diferentes Substratos. Revista Brasileira De Ciências Agrárias, 8, 396-401. https://doi.org/10.5039/agraria.v8i3a2428</mixed-citation></ref><ref id="scirp.107617-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Lehmann, J. and Joseph, S. (2009) Biochar for Environmental Management: An Introduction. In: Biochar for Environmental Management: Science and Technology, Earthscan, London, 1-12.</mixed-citation></ref><ref id="scirp.107617-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Atkinson, C.J., Fitzgerald, J.D. and Hipps, N.A. (2010) Potential Mechanisms for Achieving Agricultural Benefits from Biochar Application to Temperate Soils: A Review. Plant and Soil, 337, 1-18. https://doi.org/10.1007/s11104-010-0464-5</mixed-citation></ref><ref id="scirp.107617-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Raij, B.V. (2011) Fertilidade do solo e manejo de nutrientes. International Plant Nutrition Institute, Piracicaba.</mixed-citation></ref><ref id="scirp.107617-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Chaves, L.H.G., Fernandes, J.D., Mendes, J.S., Dantas, E.B., Guerra, H.C., Tito, G.A., Silva, A.A.R., Laurentino, L.G.S., Souza, F.G., Lima, W.B. and Chaves, I.B. (2020) Characterization of Poultry Litter Biochar for Agricultural Use. Sylwan, 164, 468-487.</mixed-citation></ref><ref id="scirp.107617-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Pereira, M.E., Varanda, L.D., Nakashima, G.T., Hansted, A.L.S., Silva. D.A., Tomeleri, J.O.P., Belini, G.B. and Yamaji, F.M. (2019) Caracteriza&amp;#231;&amp;#227;o da biomassa de cama de frango para fabrica&amp;#231;&amp;#227;o de biochar. Revista Virtual de Química, 11, 1330-1343. https://doi.org/10.21577/1984-6835.20190092</mixed-citation></ref><ref id="scirp.107617-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Jeffery, L.S., Verheijen, F.G.A., Van Der Velde, M. and Bastos, A.C. (2011) A Quantitative Review of the Effects of Biochar Application to Soils on Crop Productivity Using Meta-Analysis. Agriculture, Ecosystems and Environment, 144, 175-187. https://doi.org/10.1016/j.agee.2011.08.015</mixed-citation></ref><ref id="scirp.107617-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Teixeira, P.C., Donagemma, G.K., Fontana, A. and Teixeira, W.G. (2017) Manual de métodos de análise de solo. 3rd Edition, rev. e ampl. Embrapa, Brasília.</mixed-citation></ref><ref id="scirp.107617-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">BRASIL (2014) Manual de métodos analíticos oficiais para fertilizantes minerais, organicos, organominerais e corretivos. Ministério da Agricultura, Pecuária e Abastecimento. Secretaria de Defesa Agropecuária. Coordena&amp;#231;&amp;#227;o Geral de Apoio Laboratorial, Murilo Carlos Muniz Veras (Org.)—Brasília: MAPA/SDA/CGAL.</mixed-citation></ref><ref id="scirp.107617-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">ASTM International ASTM D1762-84 (2007) Standard Test Method for Chemical Analysis of Wood Charcoal. ASTM International, West Conshohocken, 1-2.</mixed-citation></ref><ref id="scirp.107617-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Medeiros, M.B.C.L., Jesus, H.I., Santos, N.F.A., Melo, M.R.S., Souza, V.Q., Borges, L.S., Guerreiro, A.C. and Freitas, L.S. (2018) índice de Qualidade de Dickson e característica morfológica de mudas de pepino, produzidas em diferentes substratos alternativos. Agroecossistemas, 10, 159-173. https://doi.org/10.18542/ragros.v10i1.5124</mixed-citation></ref><ref id="scirp.107617-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Dickson, A., Leaf, A.L. and Hosner, J.F. (1960) Quality Appraisal of White Spruce and White Pine Seedling Stock in Nurseries. Forest Chronicle, 36, 10-13. https://doi.org/10.5558/tfc36010-1</mixed-citation></ref><ref id="scirp.107617-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Ferreira, D.F. (2011) Sisvar: A Computer Statistical Analysis System. Ciência Agrária, 35, 1039-1042. https://doi.org/10.1590/S1413-70542011000600001</mixed-citation></ref><ref id="scirp.107617-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Sparks, D. (2003) Environmental Soil Chemistry. Academic Press, San Diego. https://doi.org/10.1016/B978-012656446-4/50001-3</mixed-citation></ref><ref id="scirp.107617-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Lucchini, P., Quilliam, R.S., Deluca, T.H., Vamerali T. and Jones, D.L. (2014) Does Biochar Application Alter Heavy Metal Dynamics in Agricultural Soil. Agriculture, Ecosystems &amp; Environment, 184, 149-157. https://doi.org/10.1016/j.agee.2013.11.018</mixed-citation></ref><ref id="scirp.107617-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Fernandes, J.D., Chaves, L.H.G., Da Silva Mendes, J., De Brito Chaves, I. and Tito, G.A. (2018) Soil Chemical Amendments and the Macronutrients Mobility Evaluation in Oxisol Treated with Biochar. Journal of Agricultural Science, 10, 238-247. https://doi.org/10.5539/jas.v10n10p238</mixed-citation></ref><ref id="scirp.107617-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Ayers, R.S. and Westcot, D.W. (1991) A qualidade da água de irriga&amp;#231;&amp;#227;o na agricultura. UFPB, Campina Grande.</mixed-citation></ref><ref id="scirp.107617-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Silva, L.J.B., Cavalcante, A.S.S. and Araújo Neto, S.E. (2009) Produ&amp;#231;&amp;#227;o de mudas de rúcula em bandejas com substratos a base de resíduos organicos. Ciência e Agrotecnologia, 33, 1301-1306. https://doi.org/10.1590/S1413-70542009000500015</mixed-citation></ref><ref id="scirp.107617-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Zanetti, M., Cazetta, J.O., Mattos Júnior, D.D. and Carvalho, S.A.D. (2003) Uso de subprodutos de carv&amp;#227;o vegetal na forma&amp;#231;&amp;#227;o do porta-enxerto limoeiro “Cravo” em ambiente protegido. Revista Brasileira de Fruticultura, 25, 508-512. https://doi.org/10.1590/S0100-29452003000300037</mixed-citation></ref><ref id="scirp.107617-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Silva, I.C.B.D., Fernandes, L.A., Colen, F. and Sampaio, R.A. (2017) Growth and Production of Common Bean Fertilized with Biochar. Ciência Rural, 47, e20170220. https://doi.org/10.1590/0103-8478cr20170220</mixed-citation></ref><ref id="scirp.107617-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Tito, G.A., Chaves, L.H.G., Dantas, E.R.B., Laurentino, L.G.S., Souza, F.G. and Guerra, H.O.C. (2020) Biochar on Soil Chemical Properties and Beak Pepper (Capsicun chinense) Production. Agricultural Sciences, 11, 1133-1142. https://doi.org/10.4236/as.2020.1112074</mixed-citation></ref><ref id="scirp.107617-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Bohara, H., Dodla, S., Wang, J.J., Darapuneni, M., Acharya, B.S., Magdi, S. and Pavuluri, K. (2019) Influence of Poultry Litter and Biochar on Soil Water Dynamics and Nutrient Leaching from a Very Fine Sandy Loam Soil. Soil and Tillage Research, 189, 44-51. https://doi.org/10.1016/j.still.2019.01.001</mixed-citation></ref><ref id="scirp.107617-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Petter, F.A., Andrade, F.R., Junior, B.H.M., Gon&amp;#231;alves, L.G.V. and De Souza, T.R.S. (2012) Biochar como condicionador de substrato para a produ&amp;#231;&amp;#227;o de mudas de eucalipto. Revista Caatinga, 25, 44-51.</mixed-citation></ref><ref id="scirp.107617-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Galv&amp;#227;o, J.R., De Almeida, K.C., Da Costa Carréra, L., Lima, L.M., Pacheco, M.J.B., De Assis, L.F.C.T., De Jesus, A.M.B.S., Carrera, J.C. and Viana, T.C. (2020) Aduba&amp;#231;&amp;#227;o química e organica associados ao biocarv&amp;#227;o promovem maior crescimento à chicória (Eryngium foetidum L.). Brazilian Journal of Development, 6, 19599-19611. https://doi.org/10.34117/bjdv6n4-213</mixed-citation></ref><ref id="scirp.107617-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Silva, L.F.V., De Melo, E.I. and Gon&amp;#231;alves, P.A.S. (2019) Biocarvao de serragem de eucalipto como condicionador de substratos para produ&amp;#231;&amp;#227;o de mudas de alface. Agri-Environmental Sciences, 5, 243-250. https://doi.org/10.36725/agries.v5i0.1614</mixed-citation></ref><ref id="scirp.107617-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Petter, F.A., Junior, B.H.M., Andrade, F.R., Schossler, T.R., Gon&amp;#231;alves, L.G. and Marimon, B.S. (2012) Biochar como condicionador de substrato para a produ&amp;#231;&amp;#227;o de mudas de alface. Agrarian, 5, 243-250.</mixed-citation></ref><ref id="scirp.107617-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Souchie, F.F., Marimon Junior, B.H., Petter, F.A., Madari, B.E., Marimon, B.S. and Lenza, E. (2011) Carv&amp;#227;o pirogênico como condicionante para substrato de mudas de Tachigali vulgaris LG Silva &amp; HC Lima. Ciência Florestal, 21, 811-821. https://doi.org/10.5902/198050984526</mixed-citation></ref><ref id="scirp.107617-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Peixoto, C.P., Cruz, T.V. and Peixoto, M.F.S.P. (2011) Análise quantitativa do crescimento de plantas: Conceitos e prática. Revista Enciclopédia Biosfera, 7, 51-76.</mixed-citation></ref><ref id="scirp.107617-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Nunes, M.M. (2010) Carv&amp;#227;o vegetal como componente de substrato para produ&amp;#231;&amp;#227;o de mudas de castanheira-do-Brasil (Bertholletia excelsa HB K.) Embrapa Amaz&amp;#244;nia Ocidental-Tese/disserta&amp;#231;&amp;#227;o.</mixed-citation></ref><ref id="scirp.107617-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Mendes, N.V.B., Lima, D.D.C., Corrêa, M.D.M. and Natale, W. (2018) Emergence and Initial Development of Bacabeira in Different Substrates and Environments. Revista Brasileira de Agropecuária Sustentável, 8, 90-99. https://doi.org/10.21206/rbas.v8i2.503</mixed-citation></ref><ref id="scirp.107617-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Melo, R.M., Vieira, M.D.C., Carnevali, T.D.O., Gon&amp;#231;alves, W.V., Torales, E.P., Tolouei, S.E.L. and Santos, C.C. (2019) Calagem e textura do substrato afetam o desenvolvimento de Campomanesia adamantium (Cambess.) O. Berg. Revista de Ciências Agrárias, 42, 101-110.</mixed-citation></ref><ref id="scirp.107617-ref40"><label>40</label><mixed-citation publication-type="journal" xlink:type="simple"><name name-style="western"><surname>Hermann</surname><given-names> R.K. </given-names></name>,<etal>et al</etal>. (<year>1964</year>)<article-title>Importance of Top-Root Ratios for Survival of Douglas-Fir Seedlings</article-title><source> Tree Planters Notes</source><volume> 64</volume>,<fpage> 7</fpage>-<lpage>11</lpage>.<pub-id pub-id-type="doi"></pub-id></mixed-citation></ref><ref id="scirp.107617-ref41"><label>41</label><mixed-citation publication-type="other" xlink:type="simple">Souza, G.K.A., Teixeira, W.G., Reis, R.A., Chaves, F.C.M. and Xavier, J.J.B.N. (2006) Growth of Crajiru (Arrabidaea chica Verlot.) on Different Growing Media. Revista Brasileira de Plantas Medicinais, 8, 62-65.</mixed-citation></ref><ref id="scirp.107617-ref42"><label>42</label><mixed-citation publication-type="other" xlink:type="simple">Cecco, R.M., Klosowski, E.S., Silva, D.F. and Villa, F. (2018) Germina&amp;#231;&amp;#227;o e crescimento inicial de mudas de espécies n&amp;#227;o convencionais de fisális em diferentes substratos e ambientes. Revista de Ciências Agroveterinárias, 17, 45-53. https://doi.org/10.5965/223811711712018045</mixed-citation></ref><ref id="scirp.107617-ref43"><label>43</label><mixed-citation publication-type="other" xlink:type="simple">Trazzi, P.A., Higa, A.R., Dieckow, J., Mangrich, A.S. and Higa, R.C.V. (2018) Biocarv&amp;#227;o: Realidade e potencial de uso no meio florestal. Ciência Florestal, 28, 875-887. https://doi.org/10.5902/1980509832128</mixed-citation></ref><ref id="scirp.107617-ref44"><label>44</label><mixed-citation publication-type="other" xlink:type="simple">Hunt, G.A. (1990) Effect of Styroblock Design and Copper Treatment on Morphology of Conifer Seedlings. Proceedings of Target Seedling Symposium, Roseburg, August 1990, 218-222.</mixed-citation></ref><ref id="scirp.107617-ref45"><label>45</label><mixed-citation publication-type="other" xlink:type="simple">Lin, K.-H., Wu, C.-W. and Chang, Y.-S. (2019) Applying Dickson Quality Index, Clhorophyll Fluorescence, and Leaf Area Index for Assessing Plant Quality of Pentas lanceolata. Notulae Botanicae Horti Agrobotanice, 47, 169-176. https://doi.org/10.15835/nbha47111312</mixed-citation></ref></ref-list></back></article>