<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AJPS</journal-id><journal-title-group><journal-title>American Journal of Plant Sciences</journal-title></journal-title-group><issn pub-type="epub">2158-2742</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ajps.2015.69155</article-id><article-id pub-id-type="publisher-id">AJPS-57400</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>
 
 
  Adaptability and Stability of Yield and Industrial Grain Quality with and without Fungicide in Brazilian Oat Cultivars
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>osé</surname><given-names>Antonio Gonzalez da Silva</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>Maisa</surname><given-names>Didoné Wohlenberg</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>Emilio</surname><given-names>Ghisleni Arenhardt</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Antonio</surname><given-names>Costa de Oliveira</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gustavo</surname><given-names>Mazurkievicz</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mariele</surname><given-names>Müller</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lorenzo</surname><given-names>Ghisleni Arenhardt</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>Manuel</surname><given-names>Osorio Binelo</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Guilherme</surname><given-names>Arnold</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>Rafael</surname><given-names>Pretto</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Department of Exact Sciences and Engineering, Regional University of the Northwest of Rio Grande do Sul, 
Ijuí, Brazil</addr-line></aff><aff id="aff3"><addr-line>Faculty of Agronomy EliseuMaciel, Federal University of Pelotas, Pelotas, Brazil</addr-line></aff><aff id="aff2"><addr-line>Department of Crop Plants, Federal University of Rio Grande do Sul, Porto Alegre, Brazil</addr-line></aff><aff id="aff4"><addr-line>Faculty of Agronomy, University of Passo Fundo, Passo Fundo, Brazil</addr-line></aff><aff id="aff1"><addr-line>Department of Agrarian Studies, Regional University of the Northwest of Rio Grande do Sul, Ijuí, Brazil</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>emilio.arenhardt@yahoo.com.br(EGA)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>05</day><month>06</month><year>2015</year></pub-date><volume>06</volume><issue>09</issue><fpage>1560</fpage><lpage>1569</lpage><history><date date-type="received"><day>19</day>	<month>May</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>22</month>	<year>June</year>	</date><date date-type="accepted"><day>25</day>	<month>June</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The use of productive cultivars with adaptability and stability and less demanding to fungicide use are critical to the sustainability of production factors. The objective of this work was to determine the per se performance of white oat cultivars and parameters of adaptability and stability on yield and grain quality in the proposition of cultivars more responsive in reducing the use fungicide. The study was conducted in Augusto Pestana, RS, Brazil, between the years 2010 and 2013. The experimental design was randomized blocks with six replicates, three with and three without fungicide. The study evaluated 14 white oat cultivars for yield and industrial capability. The white oat cultivars FAEM 4 Carlasul and URS Corona indicate high grain yield with stability and general adaptability, independent of chemical control. The cultivar URS Corona shows together high yield and thousand grain weight and hectoliter with general adaptability and stability in the absence of fungicide. Although no stability has been detected in industrial yield without the use of fungicides, cultivars of URS Charrua, URS Corona and URS Taura show high means with general adaptability.
 
</p></abstract><kwd-group><kwd>&lt;i&gt;Avena sativa&lt;/i&gt; L.</kwd><kwd> Grain Quality</kwd><kwd> Fungicide</kwd><kwd> Climatic Variations</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The white oat (Avena sativa L.) is a species of cool season multipurpose. It’s used in succession and rotation of crops breaking the cycle of pests and diseases and excellent ground cover to the till system [<xref ref-type="bibr" rid="scirp.57400-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref2">2</xref>] , and in addition, to the animals providing feed, hay, silage and forage of quality [<xref ref-type="bibr" rid="scirp.57400-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref3">3</xref>] . For human consumption, the grains stand out as a functional food rich in protein and fiber. Among these, the dietary fiber beta glucan assists in lowering cholesterol LDL [<xref ref-type="bibr" rid="scirp.57400-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref5">5</xref>] .</p><p>The inclusion of oats in the diet has grown tremendously in recent years due to more demanding population and seeking more nutritious and healthy foods [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref7">7</xref>] . On the other hand, oat consumption is based product “in natura” that after peeling is directed production bran, flour or flakes, implying greater care in the production process, especially in the use of agrochemicals to control fungal diseases.</p><p>The pattern of targeted oat requires high grain yield cultivars with technological standards desired by industry. Therefore, the high percentage of caryopsis, the high weight of hectoliter and the grain size have been increasingly required [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref8">8</xref>] . These characteristics are not always obtained due to climatic factors and the prevalence of fungal diseases [<xref ref-type="bibr" rid="scirp.57400-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref10">10</xref>] . Among the diseases, leaf rust (Puccinia coronata C da. f. sp. avenae) and helminthosporiosis [Drechslera avenae (Eidam) El Sharif] have received special attention [<xref ref-type="bibr" rid="scirp.57400-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref12">12</xref>] .</p><p>Reference [<xref ref-type="bibr" rid="scirp.57400-ref13">13</xref>] reported that diseases are not satisfactorily controlled by resistant cultivars, because the resistance level is not long lasting and sufficient to reduce the damage. Thus, besides genetic resistance, the use of fungicides show the fastest and most efficient measure in disease control, improving the yield and grain quality [<xref ref-type="bibr" rid="scirp.57400-ref12">12</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref14">14</xref>] . These conditions justify an unsustainable model of agriculture, because of increasing production costs and the contamination of the products [<xref ref-type="bibr" rid="scirp.57400-ref12">12</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref15">15</xref>] .</p><p>Sensitivity to environmental conditions and susceptibility to foliar diseases may be associated with large variability of edaphoclimatic conditions in Brazil and the indication of cultivars of reduced adaptability and stability to different microclimates [<xref ref-type="bibr" rid="scirp.57400-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref17">17</xref>] . In modern agriculture, the recommendation of cultivars with high grain yield and with stability to climatic variations is decisive, by taking advantage of improved environments or that showing adequate performance under adverse conditions [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref18">18</xref>] . Like this, the identification of genotypes of oats of high performance in characters of agronomic interest and industry, less demanding the use of fungicide and with adaptability and stability, may favor a more sustainable production of oat cultivation.</p><p>The objective of this work was to determine the per se performance of white oat cultivars and parameters of adaptability and stability on yield and grain quality in the proposition of cultivars more responsive in reducing the use fungicide.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>The work was developed between the years 2010 to 2013 in the municipality of Augusto Pestana, RS, Brazil (28˚26'30'' South latitude and 54˚00'58'' West longitude). The soil of the area is classified as Oxisol Distroferric Typical and the climate, according to K&#246;ppen classification, is Cfa, with hot summer without a dry season. In the study, ten days before the sowing, was performed soil analysis and identified the following chemical characteristics of the local: pH = 6.2; P = 33.9 mg∙dm<sup>−3</sup>; K = 200 mg∙dm<sup>−3</sup>, Organic Matter = 3.4%; Al = 0.0 cmol<sub>c</sub>∙dm<sup>−3</sup>; Ca = 6.5 cmol<sub>c</sub>∙dm<sup>−3</sup> and Mg = 2.5 cmol<sub>c</sub>∙dm<sup>−3</sup>. The sowings were performed in the second fortnight of May with seeder-fertilizer, where each parcel was formed of 5 lines of 5 m in length and line spacing of 0.20 m to compose the experimental unit of 5 m<sup>2</sup>. The density population used was determined in accordance with the technical indications of the culture, being of 300 viable seeds per square meter. In the experiments was applied at seeding 10, 60 and 50 kg∙ha<sup>−1</sup> of NPK, on the basis of the levels of these elements in the soil for grain yield expectation of 3 t∙ha<sup>−1</sup>. The remaining nitrogen to the desired income expectancy was applied in coverage when the plants were in the stadium of fourth leaf visible.</p><p>The experiments were conducted in experimental design of randomized blocks with six repetitions, being three without fungicide and three with fungicide for the control the leaf rust and leaf spot. In condition with fungicide, three applications were made: at the end of the stretching, in flowering and in grain filling. These conditions represent the most common application of fungicides in crops of oats of Brazil. It was used fungicide of tebuconazole active ingredient (commercial name FOLICUR 200 EC<sup>&#174;</sup>) at a dose of 0.75 L∙ha<sup>−1</sup>.</p><p>In the study were evaluated the 14 major white oat cultivars recommended for growing in Brazil, being they: Barbarasul, Brisasul, FAEM 4 Carlasul, FAEM 5 Chiarasul, URS 21, URS Guapa, URS Tarimba, URS Taura, URS Guria, URS Charrua, URS Torena, URS Corona, IAC 7 and UPFA Gaud&#233;ria. These cultivars have high grain yield with good quality industrial, besides the traits presented in <xref ref-type="table" rid="table1">Table 1</xref>. Were analyzed the following characters of agronomic interest and industry: 1) Grain yield (GY, kg∙ha<sup>−1</sup>): estimated from the grain mass from the harvest of the three central rows of each plot; 2) Thousand grain weight: (TGW, g): by the count of 250 grain and weighing in balance of accuracy and multiplied by four; 3) Weight of hectoliter (WH, kg∙hL<sup>−1</sup>): estimated by the ratio of grain weight on a volume of known cube 250 cm<sup>−3</sup>; 4) Number of Grains bigger than 2 mm (Grains &gt; 2 mm, n): a sample of 100 grains were placed on a sieve with a mesh of 2 mm for the analysis of major and minor grains which this dimension; 5) Grain weight (GW, g): obtained by weighing 50 grains that were above 2 mm sieve; 6) Weight of caryopsis (WC, g): removal of the bark of 50 grains larger than 2 mm and weighing of caryopses; 7) Husking index (HI, g∙g<sup>−1</sup>): relationship obtained between the weight of caryopses and grain weight of 50 grains of a thickness greater than 2 mm (HI = WC/WG); 8) Industrial grain yield (IGY, kg∙ha<sup>−1</sup>): is the product obtained from the grain yield, number of grains bigger than 2 mm and the husking index (IGY = GY &#215; Grain &gt; 2 mm &#215; HI).</p><p>To meet the assumptions of homogeneity and normality via Bartlett and Lilliefors tests, the data were submitted to variance analysis for detection of main effects and interaction of the sources of variation genotype and year in the presence and absence of fungicide. The comparison of means was performed by clustering method by [<xref ref-type="bibr" rid="scirp.57400-ref19">19</xref>] :</p><disp-formula id="scirp.57400-formula176"><graphic  xlink:href="http://html.scirp.org/file/24-2602125x5.png"  xlink:type="simple"/></disp-formula><p>where:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x6.png" xlink:type="simple"/></inline-formula>= maximum value of the sum of squares between groups;</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x7.png" xlink:type="simple"/></inline-formula>= variance obtained through.</p><disp-formula id="scirp.57400-formula177"><graphic  xlink:href="http://html.scirp.org/file/24-2602125x8.png"  xlink:type="simple"/></disp-formula><p>where:</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Main agronomic traits of the oat cultivars present in study</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Genotype</th><th align="center" valign="middle"  colspan="4"  >Main traits</th></tr></thead><tr><td align="center" valign="middle" >Cycle</td><td align="center" valign="middle" >Stature</td><td align="center" valign="middle" >Lodging</td><td align="center" valign="middle" >Leaf rust</td></tr><tr><td align="center" valign="middle" >Barbarasul</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >Short</td><td align="center" valign="middle" >MR</td><td align="center" valign="middle" >MS</td></tr><tr><td align="center" valign="middle" >Brisasul</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >Short</td><td align="center" valign="middle" >MR</td><td align="center" valign="middle" >MR</td></tr><tr><td align="center" valign="middle" >FAEM 4 Carlasul</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >MR</td><td align="center" valign="middle" >MR</td></tr><tr><td align="center" valign="middle" >FAEM 5 Chiarasul</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >MR</td><td align="center" valign="middle" >MR</td></tr><tr><td align="center" valign="middle" >IAC 7</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >S</td></tr><tr><td align="center" valign="middle" >UPFA Gaud&#233;ria</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >MS</td></tr><tr><td align="center" valign="middle" >URS 21</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >S</td><td align="center" valign="middle" >MR</td></tr><tr><td align="center" valign="middle" >URS Charrua</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >very High</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >R</td></tr><tr><td align="center" valign="middle" >URS Corona</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >R</td></tr><tr><td align="center" valign="middle" >URS Guapa</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >S</td></tr><tr><td align="center" valign="middle" >URS Guria</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >High</td><td align="center" valign="middle" >S</td><td align="center" valign="middle" >S</td></tr><tr><td align="center" valign="middle" >URS Tarimba</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >MS</td><td align="center" valign="middle" >MS</td></tr><tr><td align="center" valign="middle" >URS Taura</td><td align="center" valign="middle" >Early</td><td align="center" valign="middle" >Short</td><td align="center" valign="middle" >R</td><td align="center" valign="middle" >S</td></tr><tr><td align="center" valign="middle" >URS Torena</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >Medium</td><td align="center" valign="middle" >S</td><td align="center" valign="middle" >MS</td></tr></tbody></table></table-wrap><p>MR = moderately resistant; MS = moderately susceptible; R = resistant; S = susceptible.</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x9.png" xlink:type="simple"/></inline-formula>= the average treatment “i” (<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x10.png" xlink:type="simple"/></inline-formula>);</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x11.png" xlink:type="simple"/></inline-formula>= overall average of treatments to be separated;</p><p>g = number of averages to be separated;</p><p>v = number of degrees of freedom of the residue;</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x12.png" xlink:type="simple"/></inline-formula>, being QMR = mean square of the residue and “r” the number of observations.</p><p>The decision rule to establish groups:</p><p>If<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x13.png" xlink:type="simple"/></inline-formula>, the averages are homogeneous;</p><p>If<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x14.png" xlink:type="simple"/></inline-formula>, medium groups differ significantly.</p><p>The estimation of the parameters of adaptability and stability by [<xref ref-type="bibr" rid="scirp.57400-ref20">20</xref>] . Based on linear regression, the regression coefficients of phenotypic values of each genotype were estimated from an environmental index, generating estimates of parameters of adaptability and stability by the equation:</p><disp-formula id="scirp.57400-formula178"><graphic  xlink:href="http://html.scirp.org/file/24-2602125x15.png"  xlink:type="simple"/></disp-formula><p>where:</p><p>Y<sub>ij</sub> is the means of genotype i at environment j;</p><p>β<sub>oi</sub>: overall means genotype i;</p><p>β<sub>1i</sub>: linear regression coefficient which measures the response of the genotype to variation of the environment;</p><p>I<sub>j</sub>: environmental index coded<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x16.png" xlink:type="simple"/></inline-formula>;</p><p>δ<sub>ij</sub>: deviations from regression;</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/24-2602125x17.png" xlink:type="simple"/></inline-formula>: means experimental error.</p><p>A cultivar is stable when δ<sub>ij</sub> = 0 and unstable when δ<sub>ij</sub> ≠ 0. According to this methodology, adaptability is the ability of genotypes in certain condition take advantage of advantageously the environmental stimulus. For a cultivar highlight wide adaptability, it follows that β<sub>1i</sub> = 1; and adapted to favorable environments when β<sub>1i</sub> &gt; 1; and adapted to unfavorable environments when β<sub>1i</sub> &lt; 1. Adaptability and stability of genotypes was measured by parameters general means, linear regression coefficient and deviations from the regression. The hypothesis that regression coefficient does not differ from one was evaluated by the test t, and the hypothesis that the deviations from regression of each cultivar does not differ from zero was analyzed by the test F. All analyses were carried out with the aid of computational GENES program.</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>In <xref ref-type="table" rid="table2">Table 2</xref>, the summary of the analysis of variance shows genetic differences among the oat cultivars and the presence of interaction genotype x year on characters of agronomic interest and industrial quality, regardless of the condition with or without chemical control. The values of mean square for the year of cultivation were superior in the scenario with and without fungicide in the expression of grain yield, weight of hectoliter and industrial yield, signaling greater contribution of amendment.</p><p>The thousand grain weight in the absence of fungicide conditioned to a greater participation of genotypic effects, indicating effective genetic differences the possibility of identification of cultivars more responsive the reduction of chemical control. The means values observed in the different scenarios show that in the presence of fungicide, general means of the variables analyzed were superior, indicating the strong action of foliar diseases on productivity and industrial quality of oat grains in the absence of fungicide (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Studying the culture of white oats, researchers have been observing effects pronounced of genotype x environment interaction, concluding that the year of cultivation is the principal factor contributing to the instability of production [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref22">22</xref>] . Therefore, in addition to the performance per se, the understanding of the effects of the interaction genotype versus environment becomes necessary [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref23">23</xref>] . An efficient analysis in describing this interaction requires more adjusted models in defining cultivars for recommendation [<xref ref-type="bibr" rid="scirp.57400-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref24">24</xref>] . The analysis of adaptability and stability detail the effects of this interaction enabling define predictable and responsive behavior cultivars to environmental variations [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] - [<xref ref-type="bibr" rid="scirp.57400-ref17">17</xref>] .</p><p>In <xref ref-type="table" rid="table3">Table 3</xref>, adaptability and stability, means values (β<sub>0i</sub>) expressive in grain yield without fungicide were</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Summary of the analysis of variance for oat cultivars in different years of cultivation with and without fungicide application</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Source of variation</th><th align="center" valign="middle"  rowspan="3"  >DF</th><th align="center" valign="middle"  colspan="4"  >Mean Square/without Fungicide</th></tr></thead><tr><td align="center" valign="middle" >GY</td><td align="center" valign="middle" >TGW</td><td align="center" valign="middle" >WH</td><td align="center" valign="middle" >IGY</td></tr><tr><td align="center" valign="middle" >(kg∙ha<sup>−</sup><sup>1</sup>)</td><td align="center" valign="middle" >(g)</td><td align="center" valign="middle" >(kg∙hL<sup>−</sup><sup>1</sup>)</td><td align="center" valign="middle" >(kg∙ha<sup>−</sup><sup>1</sup>)</td></tr><tr><td align="center" valign="middle" >Block</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >343,621<sup>*</sup></td><td align="center" valign="middle" >14.81</td><td align="center" valign="middle" >24.11</td><td align="center" valign="middle" >144,180<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Genotype (G)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >1,520,636<sup>*</sup></td><td align="center" valign="middle" >76.33<sup>*</sup></td><td align="center" valign="middle" >39.43<sup>*</sup></td><td align="center" valign="middle" >615,963<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Year (Y)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >13,482,567<sup>*</sup></td><td align="center" valign="middle" >5.93</td><td align="center" valign="middle" >1424.26<sup>*</sup></td><td align="center" valign="middle" >3,704,306<sup>*</sup></td></tr><tr><td align="center" valign="middle" >G &#215; Y</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >326,740<sup>*</sup></td><td align="center" valign="middle" >18.36<sup>*</sup></td><td align="center" valign="middle" >19.12<sup>*</sup></td><td align="center" valign="middle" >174,971<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >89,700</td><td align="center" valign="middle" >4.75</td><td align="center" valign="middle" >4.11</td><td align="center" valign="middle" >28,956</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >167</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" >Mean</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >2364</td><td align="center" valign="middle" >30.23</td><td align="center" valign="middle" >43.91</td><td align="center" valign="middle" >839</td></tr><tr><td align="center" valign="middle" >CV (%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >12.66</td><td align="center" valign="middle" >7.21</td><td align="center" valign="middle" >4.61</td><td align="center" valign="middle" >20.27</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Source of variation</td><td align="center" valign="middle"  rowspan="3"  >DF</td><td align="center" valign="middle"  colspan="4"  >Mean Square/with Fungicide</td></tr><tr><td align="center" valign="middle" >GY</td><td align="center" valign="middle" >TGW</td><td align="center" valign="middle" >WH</td><td align="center" valign="middle" >IGY</td></tr><tr><td align="center" valign="middle" >(kg ha<sup>-1</sup>)</td><td align="center" valign="middle" >(g)</td><td align="center" valign="middle" >(kg hL<sup>-1</sup>)</td><td align="center" valign="middle" >(kg ha<sup>-1</sup>)</td></tr><tr><td align="center" valign="middle" >Block</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >320,892</td><td align="center" valign="middle" >0.10</td><td align="center" valign="middle" >12.61</td><td align="center" valign="middle" >152,493</td></tr><tr><td align="center" valign="middle" >Genotype (G)</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >1,404,390<sup>*</sup></td><td align="center" valign="middle" >100.71<sup>*</sup></td><td align="center" valign="middle" >22.83<sup>*</sup></td><td align="center" valign="middle" >937,241<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Year (Y)</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >21,900,706<sup>*</sup></td><td align="center" valign="middle" >160.05<sup>*</sup></td><td align="center" valign="middle" >1184.51<sup>*</sup></td><td align="center" valign="middle" >12,285,703<sup>*</sup></td></tr><tr><td align="center" valign="middle" >G &#215; Y</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >280,843<sup>*</sup></td><td align="center" valign="middle" >11.78<sup>*</sup></td><td align="center" valign="middle" >10.61<sup>*</sup></td><td align="center" valign="middle" >161,292<sup>*</sup></td></tr><tr><td align="center" valign="middle" >Error</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >103,034</td><td align="center" valign="middle" >3.83</td><td align="center" valign="middle" >6.04</td><td align="center" valign="middle" >44,210</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >167</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" >Mean</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >3111</td><td align="center" valign="middle" >33.23</td><td align="center" valign="middle" >47.64</td><td align="center" valign="middle" >1351</td></tr><tr><td align="center" valign="middle" >CV (%)</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >10.31</td><td align="center" valign="middle" >5.89</td><td align="center" valign="middle" >5.15</td><td align="center" valign="middle" >15.55</td></tr></tbody></table></table-wrap><p><sup>*</sup>Significant at 5% level of probability error; DF = degrees of freedom; GY = grain yield; TGW = thousand grain weight; WH = weight of hectoliter; IGY = industrial grain yield.</p><table-wrap-group id="3"><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Mean values and parameters of adaptability and stability in oat cultivars with and without fungicide on grain yield and thousand grain weight</title></caption><table-wrap id="3_1"><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Genotype</th><th align="center" valign="middle"  colspan="4"  >Without Fungicide</th><th align="center" valign="middle"  colspan="4"  >With Fungicide</th></tr></thead><tr><td align="center" valign="middle" >β<sub>0i</sub></td><td align="center" valign="middle" >β<sub>1i</sub></td><td align="center" valign="middle" >δ<sub>ij</sub></td><td align="center" valign="middle" >R<sup>2</sup></td><td align="center" valign="middle" >β<sub>0i</sub></td><td align="center" valign="middle" >β<sub>1i</sub></td><td align="center" valign="middle" >δ<sub>ij</sub></td><td align="center" valign="middle" >R<sup>2</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="8"  >Grain yield (kg∙ha<sup>−</sup><sup>1</sup>)</td></tr><tr><td align="center" valign="middle" >Barbarasul</td><td align="center" valign="middle" >2406 b</td><td align="center" valign="middle" >0.71<sup>ns</sup></td><td align="center" valign="middle" >−10256<sup>ns</sup></td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >3053 b</td><td align="center" valign="middle" >1.11<sup>ns</sup></td><td align="center" valign="middle" >−4336<sup>ns</sup></td><td align="center" valign="middle" >0.97</td></tr><tr><td align="center" valign="middle" >Brisasul</td><td align="center" valign="middle" >2481 b</td><td align="center" valign="middle" >0.96<sup>ns</sup></td><td align="center" valign="middle" >148,973<sup>*</sup></td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >3529 a</td><td align="center" valign="middle" >1.04<sup>ns</sup></td><td align="center" valign="middle" >60,575<sup>ns</sup></td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >FAEM 4 Carlasul</td><td align="center" valign="middle" >2666 a</td><td align="center" valign="middle" >1.19<sup>ns</sup></td><td align="center" valign="middle" >−12984<sup>ns</sup></td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >3615 a</td><td align="center" valign="middle" >0.85<sup>ns</sup></td><td align="center" valign="middle" >25,304<sup>ns</sup></td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >FAEM 5 Chiarasul</td><td align="center" valign="middle" >2683 a</td><td align="center" valign="middle" >1.43<sup>*</sup></td><td align="center" valign="middle" >280,632<sup>*</sup></td><td align="center" valign="middle" >0.76</td><td align="center" valign="middle" >3141 b</td><td align="center" valign="middle" >0.77<sup>ns</sup></td><td align="center" valign="middle" >−22,486<sup>ns</sup></td><td align="center" valign="middle" >0.98</td></tr><tr><td align="center" valign="middle" >IAC 7</td><td align="center" valign="middle" >1602 c</td><td align="center" valign="middle" >1.01<sup>ns</sup></td><td align="center" valign="middle" >−17,652<sup>ns</sup></td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >2375 d</td><td align="center" valign="middle" >1.43<sup>*</sup></td><td align="center" valign="middle" >18,294<sup>ns</sup></td><td align="center" valign="middle" >0.97</td></tr><tr><td align="center" valign="middle" >UPFA Gaud&#233;ria</td><td align="center" valign="middle" >2568 b</td><td align="center" valign="middle" >1.27<sup>ns</sup></td><td align="center" valign="middle" >−28,927<sup>ns</sup></td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >3072 b</td><td align="center" valign="middle" >1.05<sup>ns</sup></td><td align="center" valign="middle" >−31,017<sup>ns</sup></td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >URS 21</td><td align="center" valign="middle" >2461 b</td><td align="center" valign="middle" >1.13<sup>ns</sup></td><td align="center" valign="middle" >−9477<sup>ns</sup></td><td align="center" valign="middle" >0.97</td><td align="center" valign="middle" >2935 c</td><td align="center" valign="middle" >0.65<sup>*</sup></td><td align="center" valign="middle" >17,659<sup>ns</sup></td><td align="center" valign="middle" >0.87</td></tr></tbody></table></table-wrap><table-wrap id="3_2"><table><tbody><thead><tr><th align="center" valign="middle" >URS Charrua</th><th align="center" valign="middle" >2754 a</th><th align="center" valign="middle" >0.62<sup>*</sup></th><th align="center" valign="middle" >−21,872<sup>ns</sup></th><th align="center" valign="middle" >0.96</th><th align="center" valign="middle" >3160 b</th><th align="center" valign="middle" >0.65<sup>*</sup></th><th align="center" valign="middle" >4461<sup>ns</sup></th><th align="center" valign="middle" >0.81</th></tr></thead><tr><td align="center" valign="middle" >URS Corona</td><td align="center" valign="middle" >2710 a</td><td align="center" valign="middle" >0.71<sup>ns</sup></td><td align="center" valign="middle" >56,946<sup>ns</sup></td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >3573 a</td><td align="center" valign="middle" >0.85<sup>ns</sup></td><td align="center" valign="middle" >48,725<sup>ns</sup></td><td align="center" valign="middle" >0.87</td></tr><tr><td align="center" valign="middle" >URS Guapa</td><td align="center" valign="middle" >1875 c</td><td align="center" valign="middle" >1.75<sup>*</sup></td><td align="center" valign="middle" >41,082<sup>ns</sup></td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >2729 c</td><td align="center" valign="middle" >1.22<sup>ns</sup></td><td align="center" valign="middle" >85,761<sup>*</sup></td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >URS Guria</td><td align="center" valign="middle" >2420 b</td><td align="center" valign="middle" >0.53<sup>*</sup></td><td align="center" valign="middle" >34,675<sup>ns</sup></td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >3072 b</td><td align="center" valign="middle" >0.57<sup>*</sup></td><td align="center" valign="middle" >−22,699<sup>ns</sup></td><td align="center" valign="middle" >0.96</td></tr><tr><td align="center" valign="middle" >URS Tarimba</td><td align="center" valign="middle" >1966 c</td><td align="center" valign="middle" >0.89<sup>ns</sup></td><td align="center" valign="middle" >260,537<sup>*</sup></td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >3190 b</td><td align="center" valign="middle" >1.25<sup>ns</sup></td><td align="center" valign="middle" >104,567<sup>*</sup></td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >URS Taura</td><td align="center" valign="middle" >2482 b</td><td align="center" valign="middle" >1.21<sup>ns</sup></td><td align="center" valign="middle" >181,107<sup>*</sup></td><td align="center" valign="middle" >0.77</td><td align="center" valign="middle" >3317 b</td><td align="center" valign="middle" >1.51<sup>*</sup></td><td align="center" valign="middle" >178,964<sup>*</sup></td><td align="center" valign="middle" >0.89</td></tr><tr><td align="center" valign="middle" >URS Torena</td><td align="center" valign="middle" >2015 c</td><td align="center" valign="middle" >0.55<sup>*</sup></td><td align="center" valign="middle" >−1853<sup>ns</sup></td><td align="center" valign="middle" >0.84</td><td align="center" valign="middle" >2791 c</td><td align="center" valign="middle" >0.99<sup>ns</sup></td><td align="center" valign="middle" >−21,977<sup>ns</sup></td><td align="center" valign="middle" >0.98</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="8"  >Thousand grain weight (g)</td></tr><tr><td align="center" valign="middle" >Barbarasul</td><td align="center" valign="middle" >25 d</td><td align="center" valign="middle" >1.94<sup>ns</sup></td><td align="center" valign="middle" >2.346<sup>ns</sup></td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >28 e</td><td align="center" valign="middle" >1.13<sup>ns</sup></td><td align="center" valign="middle" >12.101<sup>*</sup></td><td align="center" valign="middle" >0.65</td></tr><tr><td align="center" valign="middle" >Brisasul</td><td align="center" valign="middle" >28 c</td><td align="center" valign="middle" >5.85<sup>*</sup></td><td align="center" valign="middle" >−1.131<sup>ns</sup></td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >29 e</td><td align="center" valign="middle" >1.58<sup>ns</sup></td><td align="center" valign="middle" >0.173<sup>ns</sup></td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >FAEM 4 Carlasul</td><td align="center" valign="middle" >30 c</td><td align="center" valign="middle" >−1.47<sup>ns</sup></td><td align="center" valign="middle" >1.494<sup>ns</sup></td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >32 c</td><td align="center" valign="middle" >1.59<sup>ns</sup></td><td align="center" valign="middle" >1.163<sup>ns</sup></td><td align="center" valign="middle" >0.86</td></tr><tr><td align="center" valign="middle" >FAEM 5 Chiarasul</td><td align="center" valign="middle" >31 b</td><td align="center" valign="middle" >1.99<sup>ns</sup></td><td align="center" valign="middle" >−1.259<sup>ns</sup></td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >32 c</td><td align="center" valign="middle" >0.32<sup>*</sup></td><td align="center" valign="middle" >0.325<sup>ns</sup></td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >IAC 7</td><td align="center" valign="middle" >27 d</td><td align="center" valign="middle" >6.06<sup>*</sup></td><td align="center" valign="middle" >0.604<sup>ns</sup></td><td align="center" valign="middle" >0.78</td><td align="center" valign="middle" >30 d</td><td align="center" valign="middle" >1.85<sup>*</sup></td><td align="center" valign="middle" >−0.503<sup>ns</sup></td><td align="center" valign="middle" >0.96</td></tr><tr><td align="center" valign="middle" >UPFA Gaud&#233;ria</td><td align="center" valign="middle" >31 b</td><td align="center" valign="middle" >0.19<sup>ns</sup></td><td align="center" valign="middle" >13.394<sup>*</sup></td><td align="center" valign="middle" >0.50</td><td align="center" valign="middle" >35 b</td><td align="center" valign="middle" >0.61<sup>ns</sup></td><td align="center" valign="middle" >−0.871<sup>ns</sup></td><td align="center" valign="middle" >0.84</td></tr><tr><td align="center" valign="middle" >URS 21</td><td align="center" valign="middle" >28 c</td><td align="center" valign="middle" >−1.25<sup>ns</sup></td><td align="center" valign="middle" >−1.501<sup>ns</sup></td><td align="center" valign="middle" >0.80</td><td align="center" valign="middle" >31 d</td><td align="center" valign="middle" >1.02<sup>ns</sup></td><td align="center" valign="middle" >3.277<sup>*</sup></td><td align="center" valign="middle" >0.67</td></tr><tr><td align="center" valign="middle" >URS Charrua</td><td align="center" valign="middle" >34 a</td><td align="center" valign="middle" >4.01<sup>ns</sup></td><td align="center" valign="middle" >1.808<sup>ns</sup></td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >36 b</td><td align="center" valign="middle" >0.62<sup>ns</sup></td><td align="center" valign="middle" >3.811<sup>*</sup></td><td align="center" valign="middle" >0.72</td></tr><tr><td align="center" valign="middle" >URS Corona</td><td align="center" valign="middle" >33 a</td><td align="center" valign="middle" >4.92<sup>*</sup></td><td align="center" valign="middle" >14.344<sup>*</sup></td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >36 b</td><td align="center" valign="middle" >0.29<sup>*</sup></td><td align="center" valign="middle" >1.711<sup>ns</sup></td><td align="center" valign="middle" >0.64</td></tr><tr><td align="center" valign="middle" >URS Guapa</td><td align="center" valign="middle" >29 c</td><td align="center" valign="middle" >−3.55<sup>*</sup></td><td align="center" valign="middle" >−0.374<sup>ns</sup></td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >35 b</td><td align="center" valign="middle" >1.54<sup>ns</sup></td><td align="center" valign="middle" >0.046<sup>ns</sup></td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >URS Guria</td><td align="center" valign="middle" >28 c</td><td align="center" valign="middle" >0.31<sup>ns</sup></td><td align="center" valign="middle" >5.805<sup>*</sup></td><td align="center" valign="middle" >0.77</td><td align="center" valign="middle" >31 c</td><td align="center" valign="middle" >0.21<sup>*</sup></td><td align="center" valign="middle" >3.281<sup>*</sup></td><td align="center" valign="middle" >0.65</td></tr><tr><td align="center" valign="middle" >URS Tarimba</td><td align="center" valign="middle" >29 c</td><td align="center" valign="middle" >−3.94<sup>*</sup></td><td align="center" valign="middle" >2.673<sup>ns</sup></td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >32 c</td><td align="center" valign="middle" >1.74<sup>*</sup></td><td align="center" valign="middle" >0.114<sup>ns</sup></td><td align="center" valign="middle" >0.92</td></tr><tr><td align="center" valign="middle" >URS Taura</td><td align="center" valign="middle" >29 c</td><td align="center" valign="middle" >−6.01<sup>*</sup></td><td align="center" valign="middle" >15.521<sup>*</sup></td><td align="center" valign="middle" >0.71</td><td align="center" valign="middle" >33 c</td><td align="center" valign="middle" >−0.08<sup>*</sup></td><td align="center" valign="middle" >1.525<sup>ns</sup></td><td align="center" valign="middle" >0.69</td></tr><tr><td align="center" valign="middle" >URS Torena</td><td align="center" valign="middle" >33 a</td><td align="center" valign="middle" >4.94<sup>*</sup></td><td align="center" valign="middle" >1.501<sup>ns</sup></td><td align="center" valign="middle" >0.63</td><td align="center" valign="middle" >38 a</td><td align="center" valign="middle" >1.53<sup>ns</sup></td><td align="center" valign="middle" >0.496<sup>ns</sup></td><td align="center" valign="middle" >0.88</td></tr></tbody></table></table-wrap></table-wrap-group><p>Means followed by the same letter do not differ significantly at 5% probability of error; <sup>*</sup> = significant at 5% probability by F test; <sup>ns</sup> = not significant; β<sub>0i</sub> = overall mean genotype i; β<sub>1i</sub> = Linear regression coefficient; δ<sub>ij</sub> = regression deviations; R<sup>2</sup> = coefficient of determination.</p><p>obtained by cultivars FAEM 4 Carlasul, FAEM 5 Chiarasul, URS Charrua and URS Corona. In these cultivars, in addition to high performance per se, was obtained general adaptability with stability in cultivars FAEM 4 Carlasul and URS Corona. Also stands out the genotype URS Charrua, which shows high means values with stability and adaptability to specific unfavorable environments (β<sub>1i</sub> &lt; 1).</p><p>On application of fungicide (<xref ref-type="table" rid="table3">Table 3</xref>), the higher means values of grain yield were obtained by cultivars Brisasul, FAEM 4 Carlasul and URS Corona. These cultivars indicated also general adaptability with stability, characterized as qualified genotypes the recommendation in this scenario. Furthermore, the FAEM 4 Carlasul and URS Corona independent of use the fungicide, also presented high means with general adaptability and stability, standing out as ideal genotypes as recommended by the model. The model of [<xref ref-type="bibr" rid="scirp.57400-ref20">20</xref>] has been widely used in cereals, because, the adaptability and stability parameters by linear regression are more informative [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref23">23</xref>] . Highlights that the grain yield due to the complex genetic control is usually the focus of the analysis of the interaction genotype versus environment [<xref ref-type="bibr" rid="scirp.57400-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref26">26</xref>] .</p><p>Reference [<xref ref-type="bibr" rid="scirp.57400-ref27">27</xref>] identified in oats favorable effect of greater stability of genotypes with the use of fungicide on the yield of grain. In this study, the use of fungicide is not increased the number of genotypes with stability, reinforcing the largest genetic stability of the current cultivars in different conditions of chemical control. Important to strengthen that studies with greater detail on the effects of the adaptability and stability in oats in the presence and absence of fungicide on the characters of industrial grain quality has not been found, highlighting the importance of this study about the research developed in this species.</p><p>In <xref ref-type="table" rid="table3">Table 3</xref>, the greatest expression of the thousand grains weight in the environment without fungicide highlighted the cultivars URS Charrua, URS Corona and URS Torena. The URS Charrua is characterized as an ideal genotype, of high performance per se, broad adaptability and stability. The URS Corona and URS Torena they showed specific adaptability to favorable environment (β<sub>1i</sub> &gt; 1), however, the URS Corona of unstable behavior differed from URS Torena which showed stability. In the analysis of the thousand grains weight in the presence of fungicide (<xref ref-type="table" rid="table3">Table 3</xref>), to cultivar URS Torena was the only that showed high mean value associated with the general adaptability and stability. Therefore, condition that qualifies as genotype higher expression of favorable alleles the grain filling in the presence of fungicide. On the other hand, the URS Corona even in group “b” highlighted specific adaptability the unfavorable environments with stability. Reference [<xref ref-type="bibr" rid="scirp.57400-ref28">28</xref>] highlights the importance of analyzing the thousand grain weight due to its high effect on the yield and quality of grain. In wheat, indirect effect and positive the thousand grain weight on the productivity of grain was also observed [<xref ref-type="bibr" rid="scirp.57400-ref22">22</xref>] . It is noteworthy that the thousand grains weight is a component linked to production in oats which shows the greatest damage by foliar diseases [<xref ref-type="bibr" rid="scirp.57400-ref9">9</xref>] .</p><p>In weight of hectoliter (<xref ref-type="table" rid="table4">Table 4</xref>) most of the cultivars in the absence of fungicide showed high values with general adaptability. However, only cultivars FAEM 4 Carlasul, FAEM 5 Chiarasul, URS Charrua and URS</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Mean values and parameters of adaptability and stability in oat cultivars with and without fungicide on the weight of hectoliter and the industrial grain yield</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Genotype</th><th align="center" valign="middle"  colspan="4"  >Without Fungicide</th><th align="center" valign="middle"  colspan="4"  >With Fungicide</th></tr></thead><tr><td align="center" valign="middle" >β<sub>0i</sub></td><td align="center" valign="middle" >β<sub>1i</sub></td><td align="center" valign="middle" >δ<sub>ij</sub></td><td align="center" valign="middle" >R<sup>2</sup></td><td align="center" valign="middle" >β<sub>0i</sub></td><td align="center" valign="middle" >β<sub>1i</sub></td><td align="center" valign="middle" >δ<sub>ij</sub></td><td align="center" valign="middle" >R<sup>2</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="8"  >Weight of hectoliter (kg∙hL<sup>−</sup><sup>1</sup>)</td></tr><tr><td align="center" valign="middle" >Barbarasul</td><td align="center" valign="middle" >42 b</td><td align="center" valign="middle" >0.92<sup>ns</sup></td><td align="center" valign="middle" >0.768<sup>ns</sup></td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >46 b</td><td align="center" valign="middle" >0.89<sup>ns</sup></td><td align="center" valign="middle" >−1.051<sup>ns</sup></td><td align="center" valign="middle" >0.97</td></tr><tr><td align="center" valign="middle" >Brisasul</td><td align="center" valign="middle" >42 b</td><td align="center" valign="middle" >0.79<sup>ns</sup></td><td align="center" valign="middle" >4.447<sup>*</sup></td><td align="center" valign="middle" >0.85</td><td align="center" valign="middle" >46 b</td><td align="center" valign="middle" >1.22<sup>ns</sup></td><td align="center" valign="middle" >1.215<sup>ns</sup></td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >FAEM 4 Carlasul</td><td align="center" valign="middle" >44 a</td><td align="center" valign="middle" >1.08<sup>ns</sup></td><td align="center" valign="middle" >2.001<sup>ns</sup></td><td align="center" valign="middle" >0.95</td><td align="center" valign="middle" >47 b</td><td align="center" valign="middle" >1.08<sup>ns</sup></td><td align="center" valign="middle" >5.006<sup>*</sup></td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >FAEM 5 Chiarasul</td><td align="center" valign="middle" >45 a</td><td align="center" valign="middle" >0.92<sup>ns</sup></td><td align="center" valign="middle" >2.379<sup>ns</sup></td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >47 b</td><td align="center" valign="middle" >0.87<sup>ns</sup></td><td align="center" valign="middle" >1.896<sup>ns</sup></td><td align="center" valign="middle" >0.89</td></tr><tr><td align="center" valign="middle" >IAC 7</td><td align="center" valign="middle" >43 a</td><td align="center" valign="middle" >0.84<sup>ns</sup></td><td align="center" valign="middle" >4.339<sup>*</sup></td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >47 b</td><td align="center" valign="middle" >1.06<sup>ns</sup></td><td align="center" valign="middle" >4.612<sup>*</sup></td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >UPFA Gaud&#233;ria</td><td align="center" valign="middle" >45 a</td><td align="center" valign="middle" >1.18<sup>ns</sup></td><td align="center" valign="middle" >9.324<sup>*</sup></td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >48 a</td><td align="center" valign="middle" >0.93<sup>ns</sup></td><td align="center" valign="middle" >6.139<sup>*</sup></td><td align="center" valign="middle" >0.82</td></tr><tr><td align="center" valign="middle" >URS 21</td><td align="center" valign="middle" >44 a</td><td align="center" valign="middle" >1.04<sup>ns</sup></td><td align="center" valign="middle" >4.099<sup>*</sup></td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle" >48 a</td><td align="center" valign="middle" >0.97<sup>ns</sup></td><td align="center" valign="middle" >−0.966<sup>ns</sup></td><td align="center" valign="middle" >0.97</td></tr><tr><td align="center" valign="middle" >URS Charrua</td><td align="center" valign="middle" >45 a</td><td align="center" valign="middle" >0.91<sup>ns</sup></td><td align="center" valign="middle" >−1.253<sup>ns</sup></td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >47 b</td><td align="center" valign="middle" >0.99<sup>ns</sup></td><td align="center" valign="middle" >0.041<sup>ns</sup></td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >URS Corona</td><td align="center" valign="middle" >46 a</td><td align="center" valign="middle" >0.85<sup>ns</sup></td><td align="center" valign="middle" >7.781<sup>*</sup></td><td align="center" valign="middle" >0.80</td><td align="center" valign="middle" >47 b</td><td align="center" valign="middle" >0.85<sup>ns</sup></td><td align="center" valign="middle" >−0.063<sup>ns</sup></td><td align="center" valign="middle" >0.94</td></tr><tr><td align="center" valign="middle" >URS Guapa</td><td align="center" valign="middle" >39 c</td><td align="center" valign="middle" >1.34<sup>*</sup></td><td align="center" valign="middle" >30.489<sup>*</sup></td><td align="center" valign="middle" >0.74</td><td align="center" valign="middle" >45 b</td><td align="center" valign="middle" >0.96<sup>ns</sup></td><td align="center" valign="middle" >3.281<sup>ns</sup></td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >URS Guria</td><td align="center" valign="middle" >44 a</td><td align="center" valign="middle" >0.96<sup>ns</sup></td><td align="center" valign="middle" >2.402<sup>ns</sup></td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >48 a</td><td align="center" valign="middle" >1.14<sup>ns</sup></td><td align="center" valign="middle" >−1.916<sup>ns</sup></td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >URS Tarimba</td><td align="center" valign="middle" >43 b</td><td align="center" valign="middle" >1.27<sup>*</sup></td><td align="center" valign="middle" >3.981<sup>*</sup></td><td align="center" valign="middle" >0.94</td><td align="center" valign="middle" >49 a</td><td align="center" valign="middle" >0.89<sup>ns</sup></td><td align="center" valign="middle" >5.688<sup>*</sup></td><td align="center" valign="middle" >0.81</td></tr><tr><td align="center" valign="middle" >URS Taura</td><td align="center" valign="middle" >44 a</td><td align="center" valign="middle" >1.06<sup>ns</sup></td><td align="center" valign="middle" >10.662<sup>*</sup></td><td align="center" valign="middle" >0.83</td><td align="center" valign="middle" >50 a</td><td align="center" valign="middle" >1.41<sup>*</sup></td><td align="center" valign="middle" >−1.544<sup>ns</sup></td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >URS Torena</td><td align="center" valign="middle" >41 b</td><td align="center" valign="middle" >0.77<sup>*</sup></td><td align="center" valign="middle" >3.391<sup>*</sup></td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >46 b</td><td align="center" valign="middle" >0.68<sup>*</sup></td><td align="center" valign="middle" >0.852<sup>ns</sup></td><td align="center" valign="middle" >0.87</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="8"  >Industrial grain yield (kg∙ha<sup>−</sup><sup>1</sup>)</td></tr><tr><td align="center" valign="middle" >Barbarasul</td><td align="center" valign="middle" >689 c</td><td align="center" valign="middle" >0.29<sup>*</sup></td><td align="center" valign="middle" >47,220<sup>*</sup></td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >1246 c</td><td align="center" valign="middle" >0.66<sup>*</sup></td><td align="center" valign="middle" >61,237<sup>*</sup></td><td align="center" valign="middle" >0.72</td></tr><tr><td align="center" valign="middle" >Brisasul</td><td align="center" valign="middle" >691 c</td><td align="center" valign="middle" >0.16<sup>*</sup></td><td align="center" valign="middle" >4667<sup>ns</sup></td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >1361 c</td><td align="center" valign="middle" >1.41<sup>*</sup></td><td align="center" valign="middle" >29,831<sup>ns</sup></td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >FAEM 4 Carlasul</td><td align="center" valign="middle" >818 c</td><td align="center" valign="middle" >1.01<sup>ns</sup></td><td align="center" valign="middle" >3245<sup>ns</sup></td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle" >1417 b</td><td align="center" valign="middle" >0.75<sup>ns</sup></td><td align="center" valign="middle" >150,588<sup>*</sup></td><td align="center" valign="middle" >0.64</td></tr><tr><td align="center" valign="middle" >FAEM 5 Chiarasul</td><td align="center" valign="middle" >891 b</td><td align="center" valign="middle" >1.26<sup>ns</sup></td><td align="center" valign="middle" >110,584<sup>*</sup></td><td align="center" valign="middle" >0.64</td><td align="center" valign="middle" >1191 c</td><td align="center" valign="middle" >0.91<sup>ns</sup></td><td align="center" valign="middle" >5941<sup>ns</sup></td><td align="center" valign="middle" >0.95</td></tr><tr><td align="center" valign="middle" >IAC 7</td><td align="center" valign="middle" >381 d</td><td align="center" valign="middle" >0.72<sup>ns</sup></td><td align="center" valign="middle" >−2872<sup>ns</sup></td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle" >729 d</td><td align="center" valign="middle" >1.15<sup>ns</sup></td><td align="center" valign="middle" >29,499<sup>ns</sup></td><td align="center" valign="middle" >0.93</td></tr><tr><td align="center" valign="middle" >UPFA Gaud&#233;ria</td><td align="center" valign="middle" >986 b</td><td align="center" valign="middle" >1.64<sup>*</sup></td><td align="center" valign="middle" >39,116<sup>*</sup></td><td align="center" valign="middle" >0.88</td><td align="center" valign="middle" >1522 b</td><td align="center" valign="middle" >0.9<sup>ns</sup></td><td align="center" valign="middle" >−14,673<sup>ns</sup></td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >URS 21</td><td align="center" valign="middle" >685 c</td><td align="center" valign="middle" >1.12<sup>ns</sup></td><td align="center" valign="middle" >−8799<sup>ns</sup></td><td align="center" valign="middle" >0.99</td><td align="center" valign="middle" >1139 c</td><td align="center" valign="middle" >0.87<sup>ns</sup></td><td align="center" valign="middle" >−10,344<sup>ns</sup></td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >URS Charrua</td><td align="center" valign="middle" >1196 a</td><td align="center" valign="middle" >1.27<sup>ns</sup></td><td align="center" valign="middle" >38,779<sup>*</sup></td><td align="center" valign="middle" >0.82</td><td align="center" valign="middle" >1501 b</td><td align="center" valign="middle" >0.62<sup>*</sup></td><td align="center" valign="middle" >4917<sup>ns</sup></td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >URS Corona</td><td align="center" valign="middle" >1125 a</td><td align="center" valign="middle" >0.75<sup>ns</sup></td><td align="center" valign="middle" >79,926<sup>*</sup></td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >1822 a</td><td align="center" valign="middle" >1.04<sup>ns</sup></td><td align="center" valign="middle" >48,017<sup>*</sup></td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >URS Guapa</td><td align="center" valign="middle" >813 c</td><td align="center" valign="middle" >1.81<sup>*</sup></td><td align="center" valign="middle" >8341<sup>ns</sup></td><td align="center" valign="middle" >0.96</td><td align="center" valign="middle" >1299 c</td><td align="center" valign="middle" >1.09<sup>ns</sup></td><td align="center" valign="middle" >51,618<sup>*</sup></td><td align="center" valign="middle" >0.89</td></tr><tr><td align="center" valign="middle" >URS Guria</td><td align="center" valign="middle" >694 c</td><td align="center" valign="middle" >0.66<sup>ns</sup></td><td align="center" valign="middle" >−8271<sup>ns</sup></td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >1217 c</td><td align="center" valign="middle" >0.86<sup>ns</sup></td><td align="center" valign="middle" >8011<sup>ns</sup></td><td align="center" valign="middle" >0.94</td></tr><tr><td align="center" valign="middle" >URS Tarimba</td><td align="center" valign="middle" >660 c</td><td align="center" valign="middle" >0.94<sup>ns</sup></td><td align="center" valign="middle" >45,197<sup>*</sup></td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >1137 c</td><td align="center" valign="middle" >1.02<sup>ns</sup></td><td align="center" valign="middle" >13,840<sup>ns</sup></td><td align="center" valign="middle" >0.94</td></tr><tr><td align="center" valign="middle" >URS Taura</td><td align="center" valign="middle" >1111 a</td><td align="center" valign="middle" >1.86<sup>*</sup></td><td align="center" valign="middle" >103,405<sup>*</sup></td><td align="center" valign="middle" >0.80</td><td align="center" valign="middle" >1685 a</td><td align="center" valign="middle" >1.64<sup>*</sup></td><td align="center" valign="middle" >1509<sup>ns</sup></td><td align="center" valign="middle" >0.99</td></tr><tr><td align="center" valign="middle" >URS Torena</td><td align="center" valign="middle" >1004 b</td><td align="center" valign="middle" >0.41<sup>*</sup></td><td align="center" valign="middle" >30,287<sup>*</sup></td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >1654 a</td><td align="center" valign="middle" >1.01<sup>*</sup></td><td align="center" valign="middle" >26,396<sup>ns</sup></td><td align="center" valign="middle" >0.91</td></tr></tbody></table></table-wrap><p>Means followed by the same letter do not differ significantly at 5% probability of error; <sup>*</sup> = significant at 5% probability by F test; <sup>ns</sup> = not significant; β<sub>0i</sub> = overall mean genotype i; β<sub>1i</sub> = Linear regression coefficient; δ<sub>ij</sub> = regression deviations; R<sup>2</sup> = coefficient of determination.</p><p>Guria indicated stability. Provided with fungicide, the UPFA Gaud&#233;ria, URS 21, URS Guria, URS Tarimba and URS Taura highlighted values of greater magnitude. Among these, all with general adaptability, except the URS Taura that proved to be adjusted to favorable environments. It should be noted in this scenario, mean high in trait combined with general adaptability with stability obtained only by cultivar URS 21. Genetic and environmental differences are observed in the expression of the weight of hectolitre and grain. The grain weight by genotype and the weight of hectoliter by year of cultivation are the sources of variation that promote the biggest changes [<xref ref-type="bibr" rid="scirp.57400-ref22">22</xref>] . High temperatures increase the respiration rate and when combined with drought stress or excessive rainfall next the maturation, significantly reduce the weight of hectoliter [<xref ref-type="bibr" rid="scirp.57400-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.57400-ref30">30</xref>] . Furthermore, similar to the thousand grains weight, the weight of hectoliter in oats also shows the further damage by foliar diseases [<xref ref-type="bibr" rid="scirp.57400-ref9">9</xref>] . These damages are awarded by the reduction of area photosynthetic active and interference in translocation of photoassimilates from the leaves to the grains, consequently, lower deposition of reserves and reducing the commercial value of the final product [<xref ref-type="bibr" rid="scirp.57400-ref31">31</xref>] .</p><p>In the industrial yield of grain (<xref ref-type="table" rid="table4">Table 4</xref>), the absence of fungicide excelled the cultivars URS Charrua, URS Corona and URS Taura the high performance per se. Both the URS Charrua as URS Corona showed general adaptability and the URS Taura, specific adaptability the favorable environments, although, none have shown stability. The genotype FAEM 4 Carlasul in the third group of performance (“c”) indicated general adaptability with stability. Provided with fungicide (<xref ref-type="table" rid="table4">Table 4</xref>), all genotypes tested showed industrial output exceeding 1 t・ha<sup>-1</sup>, except to cultivar IAC 7. In this condition, the cultivars URS Corona, URS Taura and URS Torena obtained the most expressive values. Among these, the URS Torena showed high means values with general adaptability and stability. And even the URS Corona having evidenced expression instability, counts with ample adaptability, opposite of URS Taura, of stability and adaptability specifies the favorable environments.</p><p>In a globalized market achieve self-sufficiency and competitiveness of Brazilian oat is decisive. Soon, climate change on the planet have provided a new challenge in global agricultural production, as well as obtaining more productive cultivars, they are more resistant to disease and tolerant to environmental stresses, require greater adaptation and stability in agricultural crops [<xref ref-type="bibr" rid="scirp.57400-ref32">32</xref>] . However, the growing demand for higher quality oats industry processing and more nutritious and healthy consumption has been increasingly required [<xref ref-type="bibr" rid="scirp.57400-ref6">6</xref>] , justifying the need for reduction in the use of agrochemicals to control foliar diseases [<xref ref-type="bibr" rid="scirp.57400-ref15">15</xref>] . The results of this research show the importance of understanding the effects the unfolding of the interaction genotype versus environment on yield and industrial quality of oat grains in the absence and presence of fungicide, highlighting this determination about the new elite genotypes for commercial launch and optimize the recommendation of cultivars for producers of oats in Brazil.</p></sec><sec id="s4"><title>4. Conclusions</title><p>The white oat cultivars FAEM 4 Carlasul and URS Corona indicate high grain yield with stability and general adaptability, independent of chemical control.</p><p>The cultivar URS Charrua together shows high yield and thousand grain weight and weight of hectoliter with general adaptability and stability in the absence of fungicide.</p><p>Although no stability has been detected in industrial yield without the use of fungicides, cultivars URS Charrua, URS Corona and URS Taura show high means with general adaptability.</p></sec><sec id="s5"><title>Acknowledgements</title><p>To CNPq, CAPES, FAPERGS and UNIJU&#205; by the contribution of resources for the development of this research and by grants for Scientific and Technological Initiation and Research Productivity.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.57400-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Floss, E.L., Palhano, A.L., Filho, C.V.S. and Premazzi, L.M. 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