<?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.2018.95073</article-id><article-id pub-id-type="publisher-id">AJPS-83821</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>
 
 
  Economic Feasibility of Canola Production in the Region of Campos Gerais, Paran&#225;, Brazil
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eriton</surname><given-names>Luiz Mainardes</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>Luiz</surname><given-names>Cláudio Garcia</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>Pedro</surname><given-names>Henrique Weirich Neto</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>Carlos</surname><given-names>Hugo Rocha</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>Thiago</surname><given-names>Inagaki</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>Natali</surname><given-names>Maidl 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>Guilherme</surname><given-names>Pedrollo Mazer</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>Jaime</surname><given-names>Alberti Gomes</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>Ivan</surname><given-names>Cesar Furmann Moura</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>Éverson</surname><given-names>Pedro Zeny</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>State University of Ponta Grossa, Campus Uvaranas, Ponta Grossa, Brasil</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>luizclaudiogarcia2001@yahoo.com.br(LCG)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>12</day><month>04</month><year>2018</year></pub-date><volume>09</volume><issue>05</issue><fpage>958</fpage><lpage>965</lpage><history><date date-type="received"><day>27,</day>	<month>December</month>	<year>2017</year></date><date date-type="rev-recd"><day>15,</day>	<month>April</month>	<year>2018</year>	</date><date date-type="accepted"><day>18,</day>	<month>April</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This study aimed to analyze the economic feasibility of canola production (
  Brassica napus 
  var 
  oleifera
  ) for the region Campos Gerais
  -
  PR. We interviewed eight producers, and used information from four of them for economic analysis of agricultural crops in 2012, 2013 and 2014. The variables analyzed were: grain production cost, economical analysis (hurdle rate, net present value, internal rate of return, payback, lucratively index, profitability index and sensitivity analysis) and vegetable oil production costs. We compared the performance of canola, wheat (Triticum aestivum)
  —as the main crop in the autumn/winter—and soybean (Glycine max)—by liquidity in the world market. It was concluded that 
  although
   the economic analysis indicates superior results of canola production compared to the wheat crop and vegetable oil production is more attractive financially than soybean, but the culture of canola is still insignificant in the region of Campos Gerais (PR). The producers interviewed pointed to limit the expansion of culture financing the limited farming, production technology in consolidation, the need for machine adjustments and canola be host of the white mold disease (Sclerotinia sclerotiorun).
 
</p></abstract><kwd-group><kwd>&lt;i&gt;Brassica napus&lt;/i&gt;</kwd><kwd> Production Systems</kwd><kwd> Profitability</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The canola (Brassica napus var. oleifera) is considered the third most important oilseed in the world. In Brazil, the area sown in the 2015 crop season was 53,610 ha. The national average income was 1352 kg ha<sup>−1</sup> in 2015 [<xref ref-type="bibr" rid="scirp.83821-ref1">1</xref>] .</p><p>In Paran&#225; State, the 2015 harvest reached 12.4 thousand tons. The average productivity in the state was 1525 kg ha<sup>−1</sup>. The canola was commercialized at US$ 21.82 per bag, generating profits of up to US$ 311.65 ha<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.83821-ref2">2</xref>] .</p><p>The canola area in the regional nucleus of Ponta Grossa (PR) was 3075 ha in the 2014 crop season and 3500 ha in the agricultural year of 2015. For comparison purposes, wheat occupied 174,900 and 148,000 ha, respectively [<xref ref-type="bibr" rid="scirp.83821-ref3">3</xref>] .</p><p>DERAL [<xref ref-type="bibr" rid="scirp.83821-ref4">4</xref>] emphasizes the low variety of pesticides registered for the crop; the inexpressive investment in technology and new cultivars the host plant of the fungal disease, are the main reasons for the low success of canola as a leader crop in the industrial sector. “White mold” (Sclerotinia sclerotiorum)―which also attacks soybean, is a state with high incidence of frost, uneven maturity of the plant, dehiscence of silica, adaptations in crop-specific agricultural machines.</p><p>The agency responsible for liberating the use of pesticides in Paran&#225; State―the State Secretariat for Agriculture and Food Supply (SEAB)―lists 301 agrochemicals released for wheat, 560 for soybeans and only seven for canola [<xref ref-type="bibr" rid="scirp.83821-ref5">5</xref>] .</p><p>In an economic analysis, Rodigher&#237; [<xref ref-type="bibr" rid="scirp.83821-ref6">6</xref>] determined the Net Present Value (NPV) at US$ 645.81 ha for soybean and wheat. In the same way, Pereira et al. [<xref ref-type="bibr" rid="scirp.83821-ref7">7</xref>] concluded that NPV for wheat was US$ 44.50 for Paran&#225;.</p><p>Studying agroforestry systems, Rodigher&#237; [<xref ref-type="bibr" rid="scirp.83821-ref6">6</xref>] concluded that the Internal Rate of Return (IRR) was 8.96% for single soybeans and wheat in succession. The IRR was 7.86% for wheat cultivation in Paran&#225; determined by Pereira et al. [<xref ref-type="bibr" rid="scirp.83821-ref7">7</xref>] . Based on the net cash flow, Amorim and Terra [<xref ref-type="bibr" rid="scirp.83821-ref8">8</xref>] in 60 hectares cultivated with soybeans determined the Payback Period of 2.5 years. In their research, Rodigher&#237; [<xref ref-type="bibr" rid="scirp.83821-ref6">6</xref>] used the economic variable known as Profitability Index (IL) to indicate the value of 1.23 for single soybean and wheat crops in succession.</p><p>Using Sensitivity Analysis (AS) to compare crude margins and yield of canola hybrids, Zhang et al. [<xref ref-type="bibr" rid="scirp.83821-ref9">9</xref>] stated that changes of &#177;10% in canola price in Australia shifts profit margin by &#177;0.1 t ha<sup>−1</sup>. Working with AS in the cultivation of wheat in the state of Paran&#225;, Pereira et al. [<xref ref-type="bibr" rid="scirp.83821-ref7">7</xref>] assure that the increase of 1.00% in the price caused an increase of 0.71% in the AS. In soybean crop in the state of Paran&#225;, Melo et al. [<xref ref-type="bibr" rid="scirp.83821-ref10">10</xref>] applying AS with data from November 2005 to November 2011; emphasized that profitability is highly sensitive to price.</p><p>The oil content in canola grains varies from 40% to 48%, while soybean―the main crop for biodiesel production in Brazil―ranges from 8.3% to 27.9%. For this reason, the oil obtained from the canola crop has a higher economic return than other vegetable oils [<xref ref-type="bibr" rid="scirp.83821-ref11">11</xref>] .</p><p>Due to the scarcity of financial studies for traditional crops in Brazil―such as wheat and soybeans―and especially for canola (almost inexistent), the objective of this study was to analyze the economic viability of canola production in the Campos Gerais-PR region.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>The research was concentrated in the region of Campos Gerais-PR. The production systems adopted for the present work are located in the cities of Reserva, Imbituva, Ponta Grossa and Teixeira Soares, respectively.</p><p>Initially, we performed structured interviews with eight farmers who have grown canola in recent years. From the preliminary data collection, we selected four canola production systems based in data consistency; denominated A, B, C and D for this study. The study period covered the crop seasons of 2012, 2013 and 2014.</p><p>The production systems adopted for the work have the following characteristics; the system A had an average area of 104 ha<sup>−1</sup>, with an operational cost of around US$ 168.23 ha<sup>−1</sup>, achieving a productivity of 1700 kg ha<sup>−1</sup>. System B, presented a cultivated area average of 69 ha<sup>−1</sup>, with an operating cost of US$ 221.05 ha<sup>−1</sup> and a productivity of 1616.57 kg ha<sup>−1</sup>. In system C, the average area cultivated was 48 ha<sup>−1</sup>, with an operating cost of US$ 239.66 at a yield of 1653.33 kg ha<sup>−1</sup>. In the D system, the averages presented for cultivated area were 68 ha<sup>−1</sup>, with an operating cost of US$ 177.38, achieving an average yield of 1520 kg ha<sup>−1</sup>. Based on what was tabulated in the interviews, a table was developed to compare the four production systems.</p><p>In order to compare the economic positioning of the canola crop in the Campos Gerais (PR), the wheat crop (Triticum aestivum) was chosen since it is the main crop cultivated in the region during the period of canola production. Soybean (Glycine max) was also used once it is the crop with the highest liquidity in the world market.</p><p>The comparisons between the crops were performed by analyzes of investment and yield profitability, not taking into account the costs of land use in all analyzes. The economic values of wheat and soybean were obtained from the ABC Foundation, referring to the crop seasons of 2012, 2013 and 2014 [<xref ref-type="bibr" rid="scirp.83821-ref12">12</xref>] .</p><p>The economic variables used were the Minimum Attractive Rate of Return (MARR), Net Present Value (NPV), Internal Rate of Return (IRR), Return Time of Investment (PAYBACK), Profitability Index (PI) and Profitability Index (VIR).</p><p>Long-term interest rate of the economy (MARR) of 6.75% per year was used as the minimum value to be considered in the economic viability evaluation of projects [<xref ref-type="bibr" rid="scirp.83821-ref13">13</xref>] . NPV was obtained by subtracting the initial investment from the present value of the net inflows (FCt), represented in the formula as (-Co) discounted at a rate equal to the cost of capital of the company (r). In the NPV</p><p>formula, ( V P L = − C o + ∑ i T C i ( 1 + r ) i ) , Ci is equal to the cash flow in the period,</p><p>i, the time period analyzed. The Internal Rate of Return (IRR) was calculated as the interest rate that equates the Net Present Value (NPV) with the value of the project cost.</p><p>PAYBACK was obtained by the formula ∑ i = 0 ∝ C i ( 1 + r ) i ≥ a n d ∑ i = 0 ∝ − 1 C i ( 1 + r ) i ≤ 0 ,</p><p>where α is the life expectancy of the project, i the time period analyzed, Ci as the cash flow in a given time period was the discount rate used.</p><p>With regard to the Profitability Index (PI), profitable investment was considered when the present value of net inflows exceeded the amounts invested. The</p><p>formula employed was PI = VE VS where VE represented input values and VS output values.</p><p>To calculate the total costs, a 20% rate was added on the value of the project, considering the administrative costs, machinery and crop area depreciation [<xref ref-type="bibr" rid="scirp.83821-ref14">14</xref>] .</p><p>The sensitivity analysis projected three scenarios: pessimistic, likely and optimistic. Thus, pessimistic scenarios of −5%, −10% and −15% of the value of canola were created, as in the 5%, 10% and 15% optimists; to verify in which even profitability would become attractive to the rural producer. The probable scenario was the profitability obtained in the average of the three canola agricultural crops (2012 to 2014).</p><p>The comparison of the production price of canola oil and soybean oil was also carried out; being removed cost values of raw materials [<xref ref-type="bibr" rid="scirp.83821-ref12">12</xref>] and costs of processing and sale of vegetable oil [<xref ref-type="bibr" rid="scirp.83821-ref15">15</xref>] .</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>The tabulation of the responses of the eight interviews conducted with farmers who cultivated canola in the 2012, 2013 and 2014 crops in the Campos Gerais region (PR) highlighted the importance of canola in crop rotation for belonging to the crucifer family. Approximately 50% of the farmer properties work with canola for more than three years.</p><p>The characteristic of the properties that have cultivated canola in the region of Campos Gerais (PR) is over 300 ha; to be able to implement the high technology of production that the crop demands. However, the area devoted to canola cultivation by property was less than 60 ha<sup>−1</sup>, with expansion below the expectation for technical issues mentioned by DERAL [<xref ref-type="bibr" rid="scirp.83821-ref4">4</xref>] .</p><p>The subject of technical assistance, according to 62% of the interviewed producers, is one of the most significant obstacles. The reason given is that there is still no consolidated knowledge about the production system of the crop. As an example, few phytosanitary products were legally released for agronomic recommendations for the crop in Paran&#225; [<xref ref-type="bibr" rid="scirp.83821-ref5">5</xref>] .</p><p>Another limitation would be the lack of funding for the crop. Without investment resources for canola and with the technological contribution under construction, the farmer has chosen to produce based on fundraising and crops that dominates the productive process, such as wheat.</p><p>Private companies have been in charge of selling the seeds, providing technical assistance and intermediating the purchase of the production. Among the interviewees, 63% bought the seeds of resales and the rest in cooperatives. The cultivation in the region can be attributed to the actions of the private initiative; however, the said monopoly of the productive process is among the barriers of the expansion of canola in the region.</p><p>Among the farmers interviewed, 86% emphasized the need to adapt machinery for operations in the canola crop. Seeding is challenging, but harvesting was the main issue reported. Only one of the producers interviewed did not change the machinery used to harvest the canola, using the same technology as the one used for the soybean crop.</p><p>White mold disease (Sclerotinia sclerotiorun) was mentioned as a limiting factor for the crop in the region of Campos Gerais (PR), as pointed out by DERAL [<xref ref-type="bibr" rid="scirp.83821-ref4">4</xref>] . In addition to the lack of technical assistance with crop specialization and the limited regulation and information on the inputs to the crop in the region, producers also reported problems in the transportation, processing and storage of canola.</p><p>One of the highlights of the interviews is that all producers already have a purchase link of the production determined before sowing, but with different forms and terms of negotiation in the contract.</p><p>The producers reported two main factors of motivation for insertion of the canola crop: the search for economic results (62% of the answers) and the improvement of spring/summer crop productivity (38% of respondents).</p><p>Comparing the data collected in the production systems of canola with those related to wheat and soybean―in the region of Campos Gerais (PR)―the annual investment analyzes were carried out (<xref ref-type="table" rid="table1">Table 1</xref>). It should be noted that the Minimum Attractive Rate of Return (MARR) was on average 31% for canola, 33% for wheat and 45% for soybean.</p><p>As the Net Present Value (NPV) takes into account the MARR, the values similar to canola and wheat are maintained; highlighting the results raised for soybeans. According to the review, Rodigher&#237; (1997) showed NPV 2.75 times higher than the value presented in this study for wheat and 1.7 times for soybean. The wheat data highlighted in <xref ref-type="table" rid="table1">Table 1</xref> is 5.3 times higher than those indicated by Pereira et al. [<xref ref-type="bibr" rid="scirp.83821-ref7">7</xref>] . The few data from the review on the subject presents a discrepancy due to economic conjuncture.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Analyses of annual investment, with the average harvests in 2012, 2013 and 2014; comparing canola (Brassica napus var. oleifera), wheat (Triticum aestivum) and soybean (Glycine max) in four farms areas in the region of Campos Gerais (PR)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables*</th><th align="center" valign="middle" >Prop. 01</th><th align="center" valign="middle" >Prop. 02</th><th align="center" valign="middle" >Prop. 03</th><th align="center" valign="middle" >Prop. 04</th><th align="center" valign="middle" >Average of properties</th><th align="center" valign="middle" >Wheat</th><th align="center" valign="middle" >Soybean</th></tr></thead><tr><td align="center" valign="middle" >MARR (%)</td><td align="center" valign="middle" >35.2</td><td align="center" valign="middle" >27.0</td><td align="center" valign="middle" >28.1</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >31.0</td><td align="center" valign="middle" >33.4</td><td align="center" valign="middle" >45.1</td></tr><tr><td align="center" valign="middle" >NPV (US$ ha<sup>−1</sup>)</td><td align="center" valign="middle" >171.1</td><td align="center" valign="middle" >221.9</td><td align="center" valign="middle" >228.1</td><td align="center" valign="middle" >181.5</td><td align="center" valign="middle" >202.3</td><td align="center" valign="middle" >234.6</td><td align="center" valign="middle" >378.9</td></tr><tr><td align="center" valign="middle" >IRR (%)</td><td align="center" valign="middle" >27.3</td><td align="center" valign="middle" >15.3</td><td align="center" valign="middle" >18.0</td><td align="center" valign="middle" >28.0</td><td align="center" valign="middle" >22.2</td><td align="center" valign="middle" >25.6</td><td align="center" valign="middle" >57.7</td></tr><tr><td align="center" valign="middle" >PAYBACK</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.3</td></tr><tr><td align="center" valign="middle" >PI</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >1.5</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >VIR</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >0.4</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0.6</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >1.0</td></tr></tbody></table></table-wrap><p>*MARR―Minimum Attractive Rate of Return, NPV―Net Present Value, IRR―Internal Rate of Return, PAYBACK―Payback Time, PI―Profitability Index and IR―Profitability Index.</p><p>The Internal Rate of Return (IRR) shows numbers similar to canola in comparison to wheat. The soybean crop has more than double the crops worked. The IRR of the 2012 to 214 crops are at least 2.8 times larger than the figures presented by Rodigher&#237; [<xref ref-type="bibr" rid="scirp.83821-ref6">6</xref>] for soybean and wheat. The 25% of wheat TIR in the Campos Gerais region (PR) is much higher than the 7.9% for wheat cultivation in Paran&#225; determined by Pereira et al. [<xref ref-type="bibr" rid="scirp.83821-ref7">7</xref>] .</p><p>The Payback period highlights the difference between the properties, with discrepant values of 100% in the canola crop. With 7.2 months, the capital invested in canola and wheat would be recovered. For soybeans 3.6 months would be sufficient for the return on investment. The values raised in this study are much lower than those determined by Amorim and Terra [<xref ref-type="bibr" rid="scirp.83821-ref8">8</xref>] for soybean crop; and the difference can be attributed to the non-computation of the cost of land use in the present study.</p><p>Comparing the Profitability Index (PI), the advantage of the soybean crop and the similar values for canola and wheat is highlighted. The Campos Gerais region presents higher numbers―in the 2012, 13 and 14 harvests―than those raised by Rodigher&#237; [<xref ref-type="bibr" rid="scirp.83821-ref6">6</xref>] in the cultivation of single soybeans and wheat in succession.</p><p>Soybean yields almost double the Profitability Index (VIR) than wheat and canola, emphasizing that the crop does not compete directly in the same period as the other crops analyzed because it is one cultivated in the Campos Gerais (PR) region in the period of spring/summer.</p><p>The sensitivity analysis (AS) for profitability (US$ ha<sup>−1</sup>) highlights that canola was 28% higher than that of wheat in the crops and farms studied in the Campos Gerais region (PR). Soybean yield was 57% higher than wheat and 23% higher than canola (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The AS with &#177;10% in the canola price change in the region of Campos Gerais (PR) shifted the profit margin &#177;0.16 t ha<sup>−1</sup>; Being the values more sensitive to the changes of price than those obtained by Zhang et al. [<xref ref-type="bibr" rid="scirp.83821-ref9">9</xref>] in Australia. In the present study, the increase of 1.00% in the price of wheat caused a 2.32%</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Sensitivity analysis for profitability (US$ ha<sup>−1</sup>), ranging from 15% to 15% in average selling prices of vintages 2012, 2013 and 2014; comparing canola (Brassica napus var oleifera), wheat (Triticum aestivum) and soybean (Glycine max) in four farms areas in the region of Campos Gerais (PR)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >−15%</th><th align="center" valign="middle" >−10%</th><th align="center" valign="middle" >−05%</th><th align="center" valign="middle" >0</th><th align="center" valign="middle" >05%</th><th align="center" valign="middle" >10%</th><th align="center" valign="middle" >15%</th></tr></thead><tr><td align="center" valign="middle" >AREA 1</td><td align="center" valign="middle" >292.56</td><td align="center" valign="middle" >329.72</td><td align="center" valign="middle" >359.02</td><td align="center" valign="middle" >388.32</td><td align="center" valign="middle" >417.62</td><td align="center" valign="middle" >446.91</td><td align="center" valign="middle" >476.21</td></tr><tr><td align="center" valign="middle" >AREA 2</td><td align="center" valign="middle" >215.66</td><td align="center" valign="middle" >243.71</td><td align="center" valign="middle" >271.45</td><td align="center" valign="middle" >299.19</td><td align="center" valign="middle" >327.24</td><td align="center" valign="middle" >354.97</td><td align="center" valign="middle" >383.02</td></tr><tr><td align="center" valign="middle" >AREA 3</td><td align="center" valign="middle" >225.95</td><td align="center" valign="middle" >255.55</td><td align="center" valign="middle" >285.16</td><td align="center" valign="middle" >315.08</td><td align="center" valign="middle" >344.69</td><td align="center" valign="middle" >374.61</td><td align="center" valign="middle" >404.21</td></tr><tr><td align="center" valign="middle" >AREA 4</td><td align="center" valign="middle" >260.54</td><td align="center" valign="middle" >288.28</td><td align="center" valign="middle" >315.70</td><td align="center" valign="middle" >343.13</td><td align="center" valign="middle" >370.56</td><td align="center" valign="middle" >398.29</td><td align="center" valign="middle" >425.72</td></tr><tr><td align="center" valign="middle" >AVERAGE</td><td align="center" valign="middle" >248.39</td><td align="center" valign="middle" >279.24</td><td align="center" valign="middle" >307.91</td><td align="center" valign="middle" >336.59</td><td align="center" valign="middle" >364.95</td><td align="center" valign="middle" >393.62</td><td align="center" valign="middle" >422.29</td></tr><tr><td align="center" valign="middle" >WHEAT</td><td align="center" valign="middle" >170.47</td><td align="center" valign="middle" >201.02</td><td align="center" valign="middle" >231.56</td><td align="center" valign="middle" >262.10</td><td align="center" valign="middle" >292.64</td><td align="center" valign="middle" >322.87</td><td align="center" valign="middle" >353.41</td></tr><tr><td align="center" valign="middle" >SOYBEAN</td><td align="center" valign="middle" >255.24</td><td align="center" valign="middle" >307.60</td><td align="center" valign="middle" >359.96</td><td align="center" valign="middle" >412.32</td><td align="center" valign="middle" >464.67</td><td align="center" valign="middle" >517.03</td><td align="center" valign="middle" >569.39</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Comparison of production costs, sales value and profitability of canola (Brassica napus var oleifera) and soybean (Glycine max) in Brazil; of the years 2012, 2013 and 2014</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="3"  >SOYBEAN</th><th align="center" valign="middle"  colspan="3"  >CANOLA</th></tr></thead><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >2014</td></tr><tr><td align="center" valign="middle" >Total cost (US$ t<sup>−1</sup>)</td><td align="center" valign="middle" >440.43</td><td align="center" valign="middle" >445.66</td><td align="center" valign="middle" >453.05</td><td align="center" valign="middle" >473.71</td><td align="center" valign="middle" >484.01</td><td align="center" valign="middle" >504.88</td></tr><tr><td align="center" valign="middle" >Revenues (US$ t<sup>−1</sup>)</td><td align="center" valign="middle" >612.69</td><td align="center" valign="middle" >674.59</td><td align="center" valign="middle" >966.90</td><td align="center" valign="middle" >1860.57</td><td align="center" valign="middle" >1861.01</td><td align="center" valign="middle" >2508.80</td></tr><tr><td align="center" valign="middle" >Profitability (US$ t<sup>−1</sup>)</td><td align="center" valign="middle" >172.22</td><td align="center" valign="middle" >225.82</td><td align="center" valign="middle" >510.85</td><td align="center" valign="middle" >1386.50</td><td align="center" valign="middle" >1376.47</td><td align="center" valign="middle" >2003.93</td></tr></tbody></table></table-wrap><p>Source: ABIOVE [<xref ref-type="bibr" rid="scirp.83821-ref15">15</xref>] .</p><p>increase in AS, a value higher than the 0.71% indicated by Pereira et al. [<xref ref-type="bibr" rid="scirp.83821-ref7">7</xref>] in Paran&#225;. In the case of soybean, the data confirm that the profitability has great sensitivity to the price, as emphasized by Melo et al. [<xref ref-type="bibr" rid="scirp.83821-ref10">10</xref>] .</p><p>The economic values presented highlighted the viability of canola cultivation in relation to wheat, and do not explain the difference of the cultivated area around 50 times greater of the cereal in the regional nucleus of Ponta Grossa (PR) [<xref ref-type="bibr" rid="scirp.83821-ref3">3</xref>] . The reduced area of canola in the region is linked to technical issues highlighted by the interviews.</p><p>Soybean production costs 8.2% lower than canola oil (<xref ref-type="table" rid="table3">Table 3</xref>). Counting the sales prices, we verified that the profitability of the canola in relation to the soybean was of eight, six and four times; Referring to the harvests of 2012, 2013 and 2014. The data corroborate with De Mori et al. [<xref ref-type="bibr" rid="scirp.83821-ref11">11</xref>] that the oil from the canola crop has an economic return superior to the other vegetable oils.</p></sec><sec id="s4"><title>4. Conclusions</title><p>Although the economic analysis indicates higher yields of canola compared to wheat and its vegetable oil is more financially attractive than soybean, canola cultivation is still inexpressive in the Campos Gerais (PR) region.</p><p>The producers interviewed pointed out as restrictions to the expansion of the crop, the limited financing of agriculture, production technology in consolidation, need for adaptations in the machines and the fact that canola is a host of white mold disease (Sclerotinia sclerotiorun).</p></sec><sec id="s5"><title>Cite this paper</title><p>Mainardes, E.L., Garcia, L.C., Weirich Neto, P.H., Rocha, C.H., Inagaki, T., de Souza, N.M., Mazer, G.P., Gomes, J.A., Moura, I.C.F. and Zeny, &#201;.P. (2018) Economic Feasibility of Canola Production in the Region of Campos Gerais, Paran&#225;, Brazil. American Journal of Plant Sciences, 9, 958-965. https://doi.org/10.4236/ajps.2018.95073</p></sec></body><back><ref-list><title>References</title><ref id="scirp.83821-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">EMBRAPA—Brazilian Agricultural Research Corporation (2014) Production Systems-Canola Cultivation. EMBRAPA, Passo Fundo.  
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