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  <leader>03817nab a2200301 i 4500</leader>
  <controlfield tag="003">BR-BrBNA</controlfield>
  <controlfield tag="005">20240429125629.0</controlfield>
  <controlfield tag="008">240429b2021    bl.ar|pooa||| 00| 0 eng |</controlfield>
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    <subfield code="a">BR-BrBNA</subfield>
    <subfield code="b">eng</subfield>
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  <datafield tag="072" ind1=" " ind2=" ">
    <subfield code="a">F30</subfield>
    <subfield code="b">0230</subfield>
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  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Montes, Rafael Ferreira</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Breseghello, Fl&#xE1;vio</subfield>
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  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Duarte, Jo&#xE3;o Batista</subfield>
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  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goi&#xE1;s, Brazil</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">
Publica&#xE7;&#xE3;o on-line; 29 ref.; 4 tables; 3 illus.; Summaries (En, Pt)</subfield>
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Abstract &#x2013; The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of
sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goi&#xE1;s, Brazil, through the integrated use of factorial regression
models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out
in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental
covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used
to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination
phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield
adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar.


Index terms: Saccharum, environmental covariates, multi-environment trials, sugarcane, yield adaptability.</subfield>
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  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">

Resumo &#x2013; O objetivo deste trabalho foi identificar fatores ambientais com efeitos significativos sobre a intera&#xE7;&#xE3;o entre gen&#xF3;tipos e ambiente (GEI), em canade-a&#xE7;&#xFA;car, e produzir mapas tem&#xE1;ticos quanto &#xE0; adaptabilidade produtiva de gen&#xF3;tipos para o estado de Goi&#xE1;s, Brasil, por meio do uso integrado de modelos de regress&#xE3;o fatorial e do sistema de informa&#xE7;&#xE3;o geogr&#xE1;fica (SIG). O estudo foi baseado na produ&#xE7;&#xE3;o de a&#xE7;&#xFA;car recuper&#xE1;vel (ATR), obtida de ensaios de cultivares em campo, em nove localidades. Foram utilizados 14 fatores ambientais, dos quais 11 foram divididos em 10 fases de crescimento da cultura, no total de 113 covari&#xE1;veis ambientais (ECs). A sele&#xE7;&#xE3;o de ECs foi feita por sucessivas regress&#xF5;es lineares simples, e os respectivos coeficientes de sensibilidade genot&#xED;pica foram usados para produzir os mapas de adaptabilidade. Aproximadamente 57% dos efeitos da GEI estiveram relacionados &#xE0;s covari&#xE1;veis longitude, temperatura m&#xE9;dia na fase de brota&#xE7;&#xE3;o da cultura e temperatura m&#xE1;xima no in&#xED;cio da fase de maior crescimento. Para ATR, os clones RB034128 e RB034021 apresentam adapta&#xE7;&#xF5;es produtivas espec&#xED;ficas, e a cultivar RB034045 pode compartilhar a &#xE1;rea de cultivo com a cultivar-testemunha RB867515.

Termos para indexa&#xE7;&#xE3;o: Saccharum, covari&#xE1;veis ambientais, ensaios multiambientes, cana-de-a&#xE7;&#xFA;car, adaptabilidade produtiva.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">CANA-DE-A&#xC7;&#xDA;CAR</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">VARIEDADE</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">INTERA&#xC7;&#xC3;O GEN&#xC9;TICA</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">ADAPTABILIDADE</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">MODELAGEM</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">GOI&#xC1;S</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
    <subfield code="0">920</subfield>
    <subfield code="9">25801</subfield>
    <subfield code="d">Bras&#xED;lia-DF Empresa Brasileira de Pesquisa Agropecu&#xE1;ria - EMBRAPA 1966-</subfield>
    <subfield code="o">2023-436357</subfield>
    <subfield code="t">Pesquisa Agropecu&#xE1;ria Brasileira (Brazil)</subfield>
    <subfield code="x">0100-204X</subfield>
    <subfield code="g">v. 56 p. 1-10; (2021)</subfield>
    <subfield code="w">BR2024000602</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://www.scielo.br/j/pab/a/LCyG5SBhhDcp4rsyx6yMZrR/?format=pdf&amp;lang=en</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">Anal&#xED;tica</subfield>
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  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">299368</subfield>
    <subfield code="d">299368</subfield>
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