<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2014.56053</article-id><article-id pub-id-type="publisher-id">AS-46019</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>EARTH &amp; ENVIRONMENTAL SCIENCES</subject></subj-group></article-categories><title-group><article-title>Agronomic Performance of Cultivars of Upland Rice in the Southern of the Region of Rondônia, Brazil</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Edimar</surname><given-names>Rodrigues Soares</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>Robertt</surname><given-names>Fernandes</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>Laercio</surname><given-names>da Silva Londero</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>Diego</surname><given-names>Lopes dos Santos</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>Samara</surname><given-names>Cristina Sampaio Corrêa</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>Everton</surname><given-names>Augusto Sampaio Corrêa</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>Remy</surname><given-names>Carvalho dos Santos</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>Ariel</surname><given-names>Pereira Gomes</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>Leandro</surname><given-names>Galon</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>Fabiana</surname><given-names>Ferreira Pires</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>Rosilene</surname><given-names>da Silva Gonçalves</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Agronomy, College Amazon (FAMA), Vilhena, Brazil</addr-line></aff><aff id="aff4"><addr-line>Agronomist, Federal University Mato Grosso (UFMT), Cuiabá, Brazil</addr-line></aff><aff id="aff1"><addr-line>Department of Soil Science, S?o Paulo State University (UNESP), Jaboticabal, Brazil</addr-line></aff><aff id="aff5"><addr-line>Department Herbology, Federal University of the Southern Border South (UFFS), Erechim, Brazil</addr-line></aff><aff id="aff2"><addr-line>Department of Agronomy, Federal Institute of Education Science and Technology of Rond?nia (IFRO), 
Colorado do Oeste, Brazil</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>soares-agro@hotmail.com(ERS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>02</day><month>05</month><year>2014</year></pub-date><volume>05</volume><issue>06</issue><fpage>513</fpage><lpage>518</lpage><history><date date-type="received"><day>18</day>	<month>February</month>	<year>2014</year></date><date date-type="rev-recd"><day>26</day>	<month>April</month>	<year>2014</year>	</date><date date-type="accepted"><day>13</day>	<month>May</month>	<year>2014</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 upland rice is grown in most Brazilian
states. However, in many of them the yield obtained is low. The choice of
cultivar more suited to a particular environment can contribute to increased
productivity of this crop. This research aimed to evaluate the performance of a
hybrid cultivar of upland rice (Ecco) and five conventional cultivars (BRS Monarca,
BRS Primavera, AN Cambará, BRS Sertaneja and BRS MG Curinga) in two
environments (Vilhena and Cerejeiras). The tests were conducted in the
agricultural year 2010/2011. We evaluated the following characteristics:
tillering, panicle number per unit area, number of filled grains per panicle
sterile, mass of grains per panicle, 1000 grain weight, grain yield (kg·ha<sup>-</sup><sup>1</sup>) and whole grain yield. There was no cultivar
x environment interaction for all traits. Greater tillering, higher panicle
number per area, higher productivity and yield of whole grains in the
municipality of Cerejeiras were observed, while the highest number of sterile
grains per panicle was obtained in Vilhena. The hybrid Ecco highlighted in relation to all other cultivars is in
relation to tillering, panicle number per area and grain yield. The
municipality of Cerejeiras is the most suitable for the cultivation of upland
rice. 

 

	
</p></abstract><kwd-group><kwd>Oryza sativa L.</kwd><kwd> Hybrid</kwd><kwd> Upland Rice</kwd><kwd> Genotype x Environment</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>By 2025 the world population will reach eight billion people, with 80% of those are in developing countries, and these countries will require a rational and efficient production to meet the demand of this population [<xref ref-type="bibr" rid="scirp.46019-ref1">1</xref>] .</p><p>Among the cereals of great social and economic importance in the world, highlights the rice (Oryza sativa L.), which is an energy source for two-thirds of the world population, providing about 20% of energy and 15% of the protein that human needs [<xref ref-type="bibr" rid="scirp.46019-ref2">2</xref>] . In Brazil, rice is a major annual crop grown in all regions of the country [<xref ref-type="bibr" rid="scirp.46019-ref3">3</xref>] .</p><p>The state of Rio Grande do Sul is responsible for 67% of Brazilian production of rice, which is grown in irrigated system [<xref ref-type="bibr" rid="scirp.46019-ref4">4</xref>] . However, in other states rice cultivation is mainly done in rainfed system. The cultivation of upland rice is characterized by the aerobic condition of root development of the plant. This farming system is found predominantly in Brazil and to a lesser extent in Africa [<xref ref-type="bibr" rid="scirp.46019-ref5">5</xref>] .</p><p>Therefore, it is important to develop technologies to increase productivity in this system, since it benefits small, medium and large producers across the country [<xref ref-type="bibr" rid="scirp.46019-ref6">6</xref>] . The use of hybrid cultivars is a technology that can provide increased productivity of upland rice. However, in Brazil, there are few studies with hybrids of upland. The development and commercialization of hybrid rice in China began in 1976, with higher production by 20% over conventional varieties [<xref ref-type="bibr" rid="scirp.46019-ref7">7</xref>] .</p><p>In rice cultivation, some factors must be considered for increasing productivity and economic [<xref ref-type="bibr" rid="scirp.46019-ref3">3</xref>] profitability. Among them, the choice of cultivars adapted to particular regions is very important.</p><p>In plant breeding programs, the process of selection and recommendation of genotypes is widely used to eva- luate the performance of genotypes in different locations. The set of environmental factors that react with each other and interact with the plant, promoting changes in production and other agronomic affecting characteristics defines the genotype x environment interaction [<xref ref-type="bibr" rid="scirp.46019-ref8">8</xref>] .</p><p>The genotype x environment interaction, in other words, when genotypes do not keep the same performance in the various environments in which they are grown, it is considered as a problem in breeding programs, because the ideal is that the genotypes exhibit high stability and productivity in different environments [<xref ref-type="bibr" rid="scirp.46019-ref9">9</xref>] .</p><p>According to [<xref ref-type="bibr" rid="scirp.46019-ref4">4</xref>] , in the 2012/2013 crop, rainfed farming was strongly affected by climate instability, under- mining the productivity of crops, which underscores the importance of using cultivars with greater resistance to environmental change.</p><p>In this sense, the objective of this experiment was to evaluate the performance of six cultivars of upland rice in the municipalities of Cerejeiras and Vilhena, Rond&#244;nia State, Brazil.</p></sec><sec id="s2"><title>2. Material and Methods</title><p>Two trials were conducted in the agricultural year 2010/2011, one at the Experimental Farm of the Faculty of the Amazon, in the municipality of Vilhena, Rond&#244;nia State, located at latitude 12˚44'26&quot;S and at a longitude 60˚08'45&quot;W, altitude 612 m and the other, also in the experimental field of the Faculty Amazon in the munici- pality of Cerejeiras, State of Rond&#244;nia, located at altitude of 257.8 m, 13˚11'19.6&quot;S latitude and 60˚51'43.9&quot;W longitude. The precipitation in southern Rond&#244;nia is regular averaging 2023 mm in the period from October to June, when the crop cultivation is performed, with emphasis on the soybean, rice and corn. During this period temperatures are also favorable to agriculture, ranging from 22.1˚C to 25.4˚C [<xref ref-type="bibr" rid="scirp.46019-ref10">10</xref>] .</p><p>Treatments consisted of seven genotypes, these being a hybrid (Ecco) and five conventional cultivars (BRS Monarca, BRS Primavera, AN Cambar&#225;, BRS Sertaneja and BRS MG Curinga) and two environments (Vilhena and Cerejeiras). The experimental design was a randomized block with four replications (or repeticions). Each experimental unit consisted of the area of 5 &#215; 2.0 m (10 m<sup>2</sup>) , this being sown eight lines of 5 m in length, spaced at 0, 25 m apart. For harvesting discarded if two boundary lines and 0.5 m from each end of the plot.</p><p>The chemical characteristics of soils of the cities studied in the 0 - 20 cm layer, are presented in <xref ref-type="table" rid="table1">Table 1</xref>. The soils were prepared in conventional cultivation system using disk harrow and leveling. Liming was performed</p><table-wrap id="table1"  position="float"><object-id pub-id-type="pii">Table 1</object-id><label>Table 1</label><caption><p>. Chemical characterization of soils of the municipalities used in the experiment</p></caption><table><thead><tr><th align="center" valign="middle"  colspan="12"  >Vilhena</th></tr></thead><tbody><tr><td align="center" valign="middle" >pH CaCl<sub>2</sub></td><td align="center" valign="middle" >O.M.<sub>1</sub></td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >K</td><td align="center" valign="middle" >Ca</td><td align="center" valign="middle" >Mg</td><td align="center" valign="middle" >H + Al</td><td align="center" valign="middle" >CEC<sub>2</sub></td><td align="center" valign="middle" >B.S.<sub>3</sub></td><td align="center" valign="middle"  colspan="3"  >Particle size (g&#183;dm<sup>−3</sup>)</td></tr><tr><td align="center" valign="middle" >0.01 mol&#183;L<sup>−1</sup></td><td align="center" valign="middle" >g&#183;dm<sup>−3</sup></td><td align="center" valign="middle" >mg&#183;dm<sup>−3</sup></td><td align="center" valign="middle"  colspan="5"  >mmolc&#183;dm<sup>−3</sup></td><td align="center" valign="middle" >(%)</td><td align="center" valign="middle" >Clay</td><td align="center" valign="middle" >Silt</td><td align="center" valign="middle" >Sand</td></tr><tr><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >4.8</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >55.5</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >800</td></tr><tr><td align="center" valign="middle"  colspan="12"  >Cerejeiras</td></tr><tr><td align="center" valign="middle" >pH CaCl<sub>2</sub></td><td align="center" valign="middle" >O.M.</td><td align="center" valign="middle" >P</td><td align="center" valign="middle" >K</td><td align="center" valign="middle" >Ca</td><td align="center" valign="middle" >Mg</td><td align="center" valign="middle" >H + Al</td><td align="center" valign="middle" >CEC</td><td align="center" valign="middle" >B.S.</td><td align="center" valign="middle"  colspan="3"  >Particle size (g&#183;dm<sup>−3</sup>)</td></tr><tr><td align="center" valign="middle" >0.01 mol&#183;L<sup>−1</sup></td><td align="center" valign="middle" >g&#183;dm<sup>−3</sup></td><td align="center" valign="middle" >mg&#183;dm<sup>−3</sup></td><td align="center" valign="middle"  colspan="5"  >mmolc&#183;dm<sup>−3</sup></td><td align="center" valign="middle" >(%)</td><td align="center" valign="middle" >Clay</td><td align="center" valign="middle" >Silt</td><td align="center" valign="middle" >Sand</td></tr><tr><td align="center" valign="middle" >4.7</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >1.2</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.7</td><td align="center" valign="middle" >61.6</td><td align="center" valign="middle" >37.6</td><td align="center" valign="middle" >200</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >720</td></tr></tbody></table></table-wrap><p>1 Organic matter, 2 Cation exchange capacity e 3 Base saturation.</p><p>with calcined limestone (48% of Ca oxide, 16% Mg oxide and relative power of the total neutralization of 124%) at 40 days before planting, seeking to raise the base saturation to 50%. Planting in Vilhena was held on December 6th and Cerejeiras on December 11, 2010. The seeding rate used was 80 kg∙ha<sup>−1</sup> for the five conventional cultivars and 40 kg∙ha<sup>−1</sup> for the hybrid.</p><p>The fertilization was done with 90-80-90 kg∙ha<sup>−1</sup> of nitrogen, phosphorus and potassium, respectively. Phosphorus was applied all at planting, along with 30% potassium and 30% nitrogen. In topdressing (20 days after emergence) was applied to 60% of nitrogen and potassium in the booting and the remaining 10%. At planting was used as a source of phosphorus, superphosphate (19% P), nitrogen, urea (45% N) and potassium, potassium (65% K). In topdressing nitrogen was supplied with ammonium sulfate (21% N) potassium with potassium chloride (65% K).</p><p>The weed control was done at 25 days after emergence herbicide with cyhalofop-butyl (1.5 L∙ha<sup>−1</sup>) and Metsulfurom methyl ether (3 g∙ha<sup>−1</sup>). The disease control was done with fungicide tricyclazole (300 g∙ha<sup>−1</sup>) + tebuconazole (750 mL∙ha<sup>−1</sup>)—50, 70 and 85 days after emergence, and insect control with application based insecticide permethrin (150 mL∙ha<sup>−1</sup>) at 15 days after emergence.</p><p>The characteristics evaluated were: tillering-performed at 35 days after emergence (maximum tillering), measured on the line in a linear meter, number of panicles per area—both played was a square with an area of 0.25 m<sup>2</sup> randomly in the center of each experimental unit, number of full grains per panicle and sterile, dry mass of grains per panicle—for this ten panicles were collected randomly from each experimental unit, the 1000 seeds—the counted sample taken from each experimental unit; yield (kg∙ha<sup>−1</sup>), and the mass of grain was adjusted to 13% moisture, and yield of whole grains—obtained through dairy equipment (tester rice model PAZ- 1DT).</p><p>After obtaining the data, analyzes of variance for each location and then a joint analysis of variance were performed environments. Means were compared by “Tukey (P &lt; 0.05)” [<xref ref-type="bibr" rid="scirp.46019-ref11">11</xref>] test.</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>The combined analysis of variance showed no significant cultivar x environment interaction in all traits (<xref ref-type="table" rid="table2">Table 2</xref>) effect, demonstrating that these factors act independently on these characteristics. Therefore, it will be discussed below that the isolated effect of environmental factors and cultivars on the performance of the culture of upland rice (<xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>). So we can infer the behavior of the cultivars did not vary significantly from one location to another. This fact is very important, considering that it is preferable cultivars producing high yield and stability in different environments, providing greater safety when producing the choice of the plant to be planted.</p><p>With respect to tillering and panicle number per area, Ecco hybrid was superior to all other cultivars (<xref ref-type="table" rid="table2">Table 2</xref>). As regards the environment, the average tillering and panicle number was higher in the municipality of Cere- jeiras (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>According to [<xref ref-type="bibr" rid="scirp.46019-ref12">12</xref>] of hybrid rice plants has shown high phenotypic plasticity which results in increased tillering capacity than the conventional cultivars. The selection of materials with high capacity of the tillering becomes important because this is one of the main factors that directly influence yield, considering that the higher tillering, the greater the number of panicles per plant [<xref ref-type="bibr" rid="scirp.46019-ref13">13</xref>] . Still Second [<xref ref-type="bibr" rid="scirp.46019-ref14">14</xref>] , tillering genotypes have advantage by adapting to various spacings and seeding rates, and also compensate for uneven sowing.</p><p>In this sense, it is noteworthy that the seeding density of the hybrid cultivar (Ecco) in this experiment was only 50% of conventional cultivars, which further demonstrates its high tillering capacity.</p><table-wrap id="table2"  position="float"><object-id pub-id-type="pii">Table 2</object-id><label>Table 2</label><caption><p>. Summary of combined analysis of variance tillering (TI), number of panicles per area (PAN), number of whole grains (WG), number of sterile grains per panicle (SG), dry weight of grains per panicle (DWG), dry weight of 1000 seeds (1000 S), grain yield (kg∙ha<sup>−1</sup>) (YIELD) and whole grain yield (WGY), expressed in percentage</p></caption><table><thead><tr><th align="center" valign="middle"  rowspan="2"  >Causes of variation</th><th align="center" valign="middle"  rowspan="2"  >GL</th><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle"  colspan="6"  >Mean square</th></tr></thead><tbody><tr><td align="center" valign="middle" >TI</td><td align="center" valign="middle"  colspan="2"  >PAN</td><td align="center" valign="middle"  colspan="2"  >WG</td><td align="center" valign="middle" >SG</td><td align="center" valign="middle" >DWG</td><td align="center" valign="middle" >1000 S</td><td align="center" valign="middle" >YIELD</td><td align="center" valign="middle" >WGY</td></tr><tr><td align="center" valign="middle" >Environment (E)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4200<sup>*</sup></td><td align="center" valign="middle"  colspan="2"  >12545, 3<sup>*</sup></td><td align="center" valign="middle"  colspan="2"  >162, 9<sup>ns</sup></td><td align="center" valign="middle" >1006, 5<sup>**</sup></td><td align="center" valign="middle" >0, 6<sup>ns</sup></td><td align="center" valign="middle" >15, 3<sup>ns</sup></td><td align="center" valign="middle" >2782484, 3<sup>*</sup></td><td align="center" valign="middle" >918, 7<sup>**</sup></td></tr><tr><td align="center" valign="middle" >Cultivar (C)</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >12810, 3<sup>**</sup></td><td align="center" valign="middle"  colspan="2"  >14846, 1<sup>**</sup></td><td align="center" valign="middle"  colspan="2"  >706, 8<sup>ns</sup></td><td align="center" valign="middle" >38, 2<sup>ns</sup></td><td align="center" valign="middle" >0, 5<sup>ns</sup></td><td align="center" valign="middle" >6, 9<sup>ns</sup></td><td align="center" valign="middle" >3444081, 8<sup>*</sup></td><td align="center" valign="middle" >46, 6<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >E x C</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >523, 8<sup>ns</sup></td><td align="center" valign="middle"  colspan="2"  >1248, 5<sup>ns</sup></td><td align="center" valign="middle"  colspan="2"  >170, 5<sup>ns</sup></td><td align="center" valign="middle" >23, 3<sup>ns</sup></td><td align="center" valign="middle" >0, 2<sup>ns</sup></td><td align="center" valign="middle" >17, 9<sup>ns</sup></td><td align="center" valign="middle" >331111, 6<sup>ns</sup></td><td align="center" valign="middle" >23, 6<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Block. d. E</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >916, 9<sup>ns</sup></td><td align="center" valign="middle"  colspan="2"  >718<sup>ns</sup></td><td align="center" valign="middle"  colspan="2"  >135<sup>ns</sup></td><td align="center" valign="middle" >8, 7<sup>ns</sup></td><td align="center" valign="middle" >0, 2<sup>ns</sup></td><td align="center" valign="middle" >9, 7<sup>ns</sup></td><td align="center" valign="middle" >213661, 8<sup>ns</sup></td><td align="center" valign="middle" >4, 7<sup>ns</sup></td></tr><tr><td align="center" valign="middle" >Res&#237;due</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >499</td><td align="center" valign="middle"  colspan="2"  >916, 1</td><td align="center" valign="middle"  colspan="2"  >226, 7</td><td align="center" valign="middle" >27, 8</td><td align="center" valign="middle" >0, 2</td><td align="center" valign="middle" >8, 4</td><td align="center" valign="middle" >376864, 4</td><td align="center" valign="middle" >19, 2</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p><sup>*</sup>Significant at (p &lt; 0.05), <sup>**</sup>Significant at (p &lt; 0.01), <sup>ns</sup> not significant.</p><table-wrap id="table3"  position="float"><object-id pub-id-type="pii">Table 3</object-id><label>Table 3</label><caption><p>. Average characteristics of tillering (TI), number of panicles per area (PAN), number of whole grains (WG), number of sterile grains per panicle (SG), dry weight of grains per panicle (DWG), dry weight 1000 grains (1000 S), grain yield (kg∙ha<sup>−1</sup>) (YIELD) and whole grain yield (WGY), expressed as a percentage of the municipalities Vilhena and Cerejeiras, Rond&#244;nia</p></caption><table><thead><tr><th align="center" valign="middle" >Environment</th><th align="center" valign="middle" >TI</th><th align="center" valign="middle" >PAN</th><th align="center" valign="middle" >WG</th><th align="center" valign="middle" >SG</th><th align="center" valign="middle" >DWG</th><th align="center" valign="middle" >1000 S</th><th align="center" valign="middle" >YIELD</th><th align="center" valign="middle" >WGY</th></tr></thead><tbody><tr><td align="center" valign="middle" >Cerejeiras</td><td align="center" valign="middle" >130, 2 a<sup>1</sup></td><td align="center" valign="middle" >200, 8 a</td><td align="center" valign="middle" >97, 6</td><td align="center" valign="middle" >8, 4 b</td><td align="center" valign="middle" >2, 47</td><td align="center" valign="middle" >25, 2</td><td align="center" valign="middle" >3597, 5 a</td><td align="center" valign="middle" >62, 5 a</td></tr><tr><td align="center" valign="middle" >Vilhena</td><td align="center" valign="middle" >111, 5 b</td><td align="center" valign="middle" >168, 5 b</td><td align="center" valign="middle" >93, 9</td><td align="center" valign="middle" >17, 5 a</td><td align="center" valign="middle" >2, 25</td><td align="center" valign="middle" >24, 1</td><td align="center" valign="middle" >3115, 9 b</td><td align="center" valign="middle" >53, 7 b</td></tr><tr><td align="center" valign="middle" >MSD<sup>2</sup> (5%)</td><td align="center" valign="middle" >16, 9</td><td align="center" valign="middle" >26, 2</td><td align="center" valign="middle" >9, 7</td><td align="center" valign="middle" >3, 6</td><td align="center" valign="middle" >0, 32</td><td align="center" valign="middle" >3, 1</td><td align="center" valign="middle" >427</td><td align="center" valign="middle" >3, 6</td></tr></tbody></table></table-wrap><p><sup>1</sup>Means followed by different lower case letters in the same column are significantly different (Tukey P &lt; 0.05), <sup>2</sup>Minimum significant difference.</p><table-wrap id="table4"  position="float"><object-id pub-id-type="pii">Table 4</object-id><label>Table 4</label><caption><p>. Average of cultivar for tillering of tillering (TI), number of panicles per area (PAN), number of whole grains (WG), number of sterile grains per panicle (SG), dry weight of grains per panicle (DWG), dry weight 1000 grains (1000 S), grain yield (kg∙ha<sup>−1</sup>) (YIELD) and whole grain yield (WGY), expressed in percentage</p></caption><table><thead><tr><th align="center" valign="middle" >Cultivar</th><th align="center" valign="middle" >TI</th><th align="center" valign="middle" >PAN</th><th align="center" valign="middle" >WG</th><th align="center" valign="middle" >SG</th><th align="center" valign="middle" >DWG</th><th align="center" valign="middle" >1000 S</th><th align="center" valign="middle" >YIELD</th><th align="center" valign="middle" >WGY</th></tr></thead><tbody><tr><td align="center" valign="middle" >Ecco</td><td align="center" valign="middle" >197, 4 a<sup>1</sup></td><td align="center" valign="middle" >270 a</td><td align="center" valign="middle" >83, 9</td><td align="center" valign="middle" >11, 9</td><td align="center" valign="middle" >2, 11</td><td align="center" valign="middle" >25, 1</td><td align="center" valign="middle" >4652, 2 a</td><td align="center" valign="middle" >58, 7</td></tr><tr><td align="center" valign="middle" >BRS Monarca</td><td align="center" valign="middle" >128, 2 b</td><td align="center" valign="middle" >172 b</td><td align="center" valign="middle" >96, 4</td><td align="center" valign="middle" >15, 6</td><td align="center" valign="middle" >2, 46</td><td align="center" valign="middle" >25, 7</td><td align="center" valign="middle" >3284, 8 b</td><td align="center" valign="middle" >59, 6</td></tr><tr><td align="center" valign="middle" >BRS Primavera</td><td align="center" valign="middle" >88 b</td><td align="center" valign="middle" >166, 5 b</td><td align="center" valign="middle" >108, 9</td><td align="center" valign="middle" >14, 2</td><td align="center" valign="middle" >2, 65</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >3271, 1 b</td><td align="center" valign="middle" >55, 1</td></tr><tr><td align="center" valign="middle" >AN Cambar&#225;</td><td align="center" valign="middle" >113, 1 b</td><td align="center" valign="middle" >158, 5 b</td><td align="center" valign="middle" >88, 1</td><td align="center" valign="middle" >11, 8</td><td align="center" valign="middle" >2, 01</td><td align="center" valign="middle" >23, 1</td><td align="center" valign="middle" >3106, 7 b</td><td align="center" valign="middle" >55, 2</td></tr><tr><td align="center" valign="middle" >BRS Sertaneja</td><td align="center" valign="middle" >95, 5 b</td><td align="center" valign="middle" >156 b</td><td align="center" valign="middle" >103, 9</td><td align="center" valign="middle" >14, 5</td><td align="center" valign="middle" >2, 61</td><td align="center" valign="middle" >25, 2</td><td align="center" valign="middle" >2962, 2 b</td><td align="center" valign="middle" >58, 6</td></tr><tr><td align="center" valign="middle" >BRS MG Curinga</td><td align="center" valign="middle" >103, 1 b</td><td align="center" valign="middle" >185 b</td><td align="center" valign="middle" >93,6</td><td align="center" valign="middle" >9, 7</td><td align="center" valign="middle" >2, 34</td><td align="center" valign="middle" >24, 9</td><td align="center" valign="middle" >2863, 1 b</td><td align="center" valign="middle" >61, 1</td></tr><tr><td align="center" valign="middle" >MSD<sup>2</sup> (5%)</td><td align="center" valign="middle" >48, 8</td><td align="center" valign="middle" >75, 4</td><td align="center" valign="middle" >27, 8</td><td align="center" valign="middle" >10, 3</td><td align="center" valign="middle" >0, 93</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >1227, 3</td><td align="center" valign="middle" >10, 4</td></tr></tbody></table></table-wrap><p><sup>1</sup>Means followed by different lower case letters in the same column are significantly different (Tukey P &lt; 0.05), <sup>2</sup>Minimum significant difference.</p><p>The cultivars were similar in relation to the number of whole grains per panicle, grain number per panicle sterile, mass of grains per panicle and weight of 1000 grains. [<xref ref-type="bibr" rid="scirp.46019-ref13">13</xref>] also found no significant differences between different genotypes of upland rice as the number of whole grains per panicle. It is also possible to observe that there was no interference from the environment these characteristics except the number of sterile grains per panicle, with the highest percentage of sterile grains observed in the municipality of Vilhena.</p><p>It is also observed that the highest yield was observed in the municipality of Cerejeiras. One factor that may have provided better tillering, fewer sterile spikelets per panicle and consequently higher productivity in the municipality of Cerejeiras is the highest content of organic matter in the soil profiles of this council, and this also showed higher cation exchange capacity (CEC), which is probably due to the greater amount of organic matter in the soil. Soils with higher organic matter and greater than 60 mmol∙dm<sup>−3</sup> CTC are more efficient at retaining water and nutrients, thus experiencing less leaching of nitrogen and potassium [<xref ref-type="bibr" rid="scirp.46019-ref15">15</xref>] , a fact that becomes relevant, considering that the potassium content in the soil of the two environments was low, according to [<xref ref-type="bibr" rid="scirp.46019-ref16">16</xref>] .</p><p>All cultivars had higher yields than the average of Rond&#244;nia state that was 2722 kg∙ha<sup>−1</sup> in the same season [<xref ref-type="bibr" rid="scirp.46019-ref17">17</xref>] , especially hybrid that reached 1930 kg∙ha<sup>−1</sup> more than the state average, and this was also the most productive among the cultivars evaluated (<xref ref-type="table" rid="table4">Table 4</xref>), exceeding by 50% the average productivity achieved by the other cultivars, confirming [<xref ref-type="bibr" rid="scirp.46019-ref1">1</xref>] who reported that hybrid rice genotypes can increase rice productivity in more 25%.</p><p>With this, we can say that among the characteristics evaluated tillering is what really influenced the productivity of upland rice. [<xref ref-type="bibr" rid="scirp.46019-ref18">18</xref>] reported better root development for hybrid Ecco relative BRS Primavera BRS Sertaneja and AN Cambar&#225;, which provides that the greater absorption of water and nutrients thereby resulting in obtaining from higher yields.</p><p>There were no significant differences among cultivars for yield of whole grains. Brazilian law provides effective yield 40% - 68% for whole grains [<xref ref-type="bibr" rid="scirp.46019-ref19">19</xref>] therefore the percentage yield observed for the materials tested exceeded the minimum percentage required. The best yield of whole grains was observed in the city of Cerejeiras. Thus, we can classify this municipality as most suitable for the cultivation of upland rice, because in addition to the higher productivity achieved by cultivars also had the highest yield of whole grains in this municipality, which in practice means greater profitability for the producer rural.</p></sec><sec id="s4"><title>4. 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