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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Agricultura sostenible</text>
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            <description>An account of the resource</description>
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                <text>Dominio científico: Agricultura sostenible</text>
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    <name>Text</name>
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      <name>Dublin Core</name>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Modelos matemáticos para a estimativa da área foliar de mandioca</text>
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          <name>Creator</name>
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              <text>Miguel Julio Machado Guimarães, Maurício Antônio Coelho Filho, Francisco de Assis Gomes Junior, Matheus Almeida Machado Silva, Carlos Vítor Oliveira Alves, Lug Lopes</text>
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        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Objetivou-se com este trabalho determinar equações que possibilitem estimar a área foliar de genótipos de mandioca a partir de medidas biométricas das folhas. Foram coletadas folhas de 17 genótipos de mandioca e mensurados em cada unidade o comprimento, a largura do lóbulo central e a área foliar real. Os genótipos foram agrupados por meio do método  de  análise  multivariada  UPGMA,  utilizando-se  a  razão  entre  o  comprimento  do  lóbulo central com a largura do mesmo (C / L). Após o agrupamento foi realizado o teste de correlação de Pearson entre as medidas biométricas e a área foliar real. Foram testados modelos de equação linear e potencial para os grupos encontrados na análise de agrupamentos. As  variáveis  biométricas  que  apresentaram  maior  correlação  com  a  área  foliar  foram  o  produto do comprimento e a largura do lóbulo, e o comprimento do lóbulo central. Quatro diferentes grupos foram encontrados, nos quais os modelos de equação linear se ajustaram melhor quando se aplica o produto entre o comprimento e a largura do lóbulo central e os potenciais quando se usa o comprimento do lóbulo central.</text>
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          <name>Date</name>
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              <text>2018</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Manihot esculenta Crantz, Modelagem foliar, Morfometria</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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            <elementText elementTextId="206807">
              <text>10.22491/rca.2019.3015</text>
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        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
          <elementTextContainer>
            <elementText elementTextId="206808">
              <text>Revista de Ciências Agrárias</text>
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        </element>
        <element elementId="45">
          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
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            <elementText elementTextId="206809">
              <text>Sociedade de Ciências Agrárias de Portugal</text>
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        <element elementId="38">
          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <text>Agriculture (General), Agriculture, Environmental sciences</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>&lt;a href="https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3015/1565" target="_blank" rel="noreferrer noopener"&gt;https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3015/1565&lt;/a&gt;</text>
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