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  <titleInfo>
    <title>Similarity networks for the classification of rice genotypes as to adaptability and stability</title>
  </titleInfo>
  <name type="personal">
    <namePart>Silva, Gabi Nunes</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Silva Júnior, Antônio Carlos da</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Sant’Anna, Isabela de Castro</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Cruz, Cosme Damião</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Nascimento, Moysés</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Soares, Plínio César</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
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  <genre authority="marc">periodical</genre>
  <genre authority="marc">abstract or summary</genre>
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  <abstract>

Abstract – The objective of this work was to evaluate the similarity network
graphic methodology for the classification of flood-irrigated rice (Orzya
sativa) genotypes regarding their adaptability and stability. Two statistical
measures were used to represent the proximity of the behavior (based on
Pearson’s correlation) or values (based on Gower’s distance) between pairs
of genotypes or between genotype and environment. Productivity data of
18 genotypes were evaluated in three locations in the state of Minas Gerais,
Brazil, in the harvests of 2012/2013, 2013/2014, 2014/2015, and 2015/2016, in
a randomized complete block design. The genotypes were previously assessed
for adaptability and stability by the Eberhart &amp; Russell and centroid methods.
The graphical representations provided by the similarity networks allowed
to better identify the pattern of the genotype x environment interaction,
overcoming the interpretation difficulties due to the disagreements between
the results obtained by the Eberhart &amp; Russell and centroid methods. The
similarity networks improve genotype x environment interaction studies.


Index terms: Orzya sativa, flood-irrigated rice, genotype x environment
interaction, graphic analysis, similarity.</abstract>
  <abstract>

Resumo – O objetivo deste trabalho foi avaliar o método gráfico de rede de
similaridade na classificação de genótipos de arroz (Orzya sativa) irrigado
quanto a sua adaptabilidade e estabilidade. Duas medidas estatísticas foram
utilizadas para representar a proximidade de comportamento (baseada na
correlação de Pearson) ou de valores (baseada na distância de Gower) entre
pares de genótipos ou entre genótipo e ambiente. Foram avaliados dados
de produtividade de 18 genótipos de arroz irrigado em três locais de Minas
Gerais, nas safras de 2012/2013, 2013/2014, 2014/2015 e 2015/2016, em
delineamento em blocos ao acaso. Os genótipos foram previamente avaliados
quanto à adaptabilidade e à estabilidade pelos métodos de Eberhart &amp; Russell
e centroide. As representações gráficas fornecidas pelas redes de similaridade
facilitaram o reconhecimento do padrão de interação genótipo x ambiente, o
que permitiu superar as dificuldades de interpretação devido à discordância
entre os resultados obtidos com os métodos de Eberhart &amp; Russell e centroide.
As redes de similaridade facilitam os estudos de interação genótipo x
ambiente.


Termos para indexação: Orzya sativa, arroz irrigado, interação genótipo x
ambiente, análises gráficas, similaridade.</abstract>
  <note>
Publicação on-line; 24 ref.; 3 tables; 2 illus.; Summaries (En, Pt)</note>
  <subject>
    <topic>ARROZ IRRIGADO</topic>
  </subject>
  <subject>
    <topic>GENÓTIPO</topic>
  </subject>
  <subject>
    <topic>SELEÇÃO</topic>
  </subject>
  <subject>
    <topic>INTERAÇÃO GENÉTICA</topic>
  </subject>
  <subject>
    <topic>MELHORAMENTO VEGETAL</topic>
  </subject>
  <relatedItem type="host">
    <titleInfo>
      <title>Pesquisa Agropecuária Brasileira (Brazil)</title>
    </titleInfo>
    <originInfo>
      <publisher>Brasília-DF Empresa Brasileira de Pesquisa Agropecuária - EMBRAPA 1966-</publisher>
    </originInfo>
    <identifier>2023-436355</identifier>
    <identifier type="issn">0100-204X</identifier>
    <identifier type="local">BR2024000263</identifier>
    <part>
      <text>v. 55 p. 1-8; (2020)</text>
    </part>
  </relatedItem>
  <identifier type="uri">https://www.scielo.br/j/pab/a/vkLyTGYLzW5DfT6S76nwLxk/?format=pdf&amp;lang=en</identifier>
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    <url>https://www.scielo.br/j/pab/a/vkLyTGYLzW5DfT6S76nwLxk/?format=pdf&amp;lang=en</url>
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    <recordChangeDate encoding="iso8601">20240401095948.0</recordChangeDate>
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      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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