<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>04462nab a2200313 i 4500</leader>
  <controlfield tag="003">BR-BrBNA</controlfield>
  <controlfield tag="005">20231108120122.0</controlfield>
  <controlfield tag="008">231108b2020    bl.qr|pooa||| 00| 0 eng |</controlfield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="a">BR-BrBNA</subfield>
    <subfield code="b">eng</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2=" ">
    <subfield code="a">F01</subfield>
    <subfield code="b">0230</subfield>
  </datafield>
  <datafield tag="072" ind1=" " ind2=" ">
    <subfield code="a">U10</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a"> Jane, S&#xE9;rgio Alberto</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Fernandes, Felipe Augusto</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Muniz, Joel Augusto</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Fernandes, Tales Jesus</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Nonlinear models to describe height and diameter of sugarcane RB92579 variety</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">
Publica&#xE7;&#xE3;o on-line; 28 ref.; 3 tables; 3 illus.; Summaries (En, Pt)</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">



ABSTRACT - Brazil is the world&#x2019;s largest sugarcane producer (Saccharum spp.), followed by India and China. In 2019,
Brazil produced 642.7 million tons of sugarcane, having collected 1.44 billion and 983.52 million dollars from sugar and
ethanol exports, respectively. For crop management, it is important to monitor plant growth, duration of growth phases and
point of physiological maturation. The aim of this study was to evaluate the fit of nonlinear Logistic, Gompertz, Brody and
von Bertalanffy models to the height and diameter growth of ratoon cane stalk RB92579 variety, considering age in days.
The parameters of models were estimated using R software routines, applying the least squares method and the iterative
Gauss-Newton process. The adjustment of models was compared using the following evaluators: determination coefficient
(R2 ), residual standard deviation (RSD) and corrected Akaike information criterion (AICc). In all models, parameters were
significant by the t test at 1% level, except for the Brody model. When using the Shapiro-Wilk, Durbin-Watson and BreuschPagan tests, it was found that residues were normal, homoscedastic and independent at 1% significance level. All models fitted well to data, except for the Brody model for stalk height. Based on results, the Gompertz and Logistic models presented higher R 2 values and lower RSD and AICc values; thus, it could be concluded that these models are suitable to describe the height and diameter of sugarcane RB92579 cultivar, respectively.


Key words: Growth curves. Logistic. Gompertz.</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">


RESUMO - O Brasil &#xE9; o maior produtor mundial de cana-de-a&#xE7;&#xFA;car (Saccharum spp.), seguido pela &#xCD;ndia e China. Em 2019
Brasil produziu 642,7 milh&#xF5;es de toneladas de cana, tendo arrecadado 1.44 bilh&#xF5;es e 983,52 milh&#xF5;es de d&#xF3;lares com exporta&#xE7;&#xE3;o de a&#xE7;&#xFA;car e etanol, respectivamente. No manejo da cultura &#xE9; importante monitorar o crescimento das plantas, a dura&#xE7;&#xE3;o das fases de crescimento e o ponto de matura&#xE7;&#xE3;o fisiol&#xF3;gica. O objetivo deste estudo foi avaliar o ajuste dos modelos n&#xE3;o lineares Logistico, Gompertz, Brody e von Bertalanffy ao crescimento dos colmos da cana soca variedade RB92579, em estatura e di&#xE2;metro, considerando a idade em dias. Os par&#xE2;metro dos modelos foram estimados por meio de rotinas do software R, aplicando o m&#xE9;todo de m&#xED;nimos quadadrados e o processo iterativo de Gauss-Newton. O ajuste dos modelos foi comparado utilizando os avaliadores: coeficiente de determina&#xE7;&#xE3;o (R2 ), desvio padr&#xE3;o residual (DPR) e crit&#xE9;rio de Akaike corrigido (AICc). Em todos os modelos, os modelos, par&#xE2;metros foram significativos pelo test t ao n&#xED;vel de 1%, exceto o modelo Brody. Ao realizar os testes Shapiro-Wilk, Durbin-Watson e Breusch-Pagan, verificou-se que os res&#xED;duos foram normais, homoced&#xE1;sticos e independentes, ao n&#xED;vel de 1% de signific&#xE2;ncia. Todos os modelos ajustaram-se bem aos dados, exceto o modelo Brody para estatura dos colmos. Com base nos resultados, os modelos Gompertz e Log&#xED;stico apresentaram maiores valores de R2  e menores DPR e AICc, desta forma conclui-se que estes modelos s&#xE3;o adequados para descrever a altura e o di&#xE2;metro da cultivar RB92579, respectivamente.


Palavras-chave: Curvas de crescimento. Log&#xED;stico. Gompertz.</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">CRESCIMENTO</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">MORFOLOGIA VEGETAL</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">PROGRAMA DE COMPUTADOR</subfield>
  </datafield>
  <datafield tag="773" ind1="0" ind2=" ">
    <subfield code="0">4290</subfield>
    <subfield code="9">25562</subfield>
    <subfield code="d">Fortaleza-CE Universidade Federal do Cear&#xE1;. Centro de Ci&#xEA;ncias Agr&#xE1;rias 2002</subfield>
    <subfield code="o">2023-436128</subfield>
    <subfield code="t">Revista Ci&#xEA;ncia Agron&#xF4;mica (Brazil)</subfield>
    <subfield code="x">0045-6888; 1806-6690 (on-line)</subfield>
    <subfield code="g">v. 51(4) p. 1-7; (2020)</subfield>
    <subfield code="w">BR2023002013</subfield>
  </datafield>
  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://www.scielo.br/j/rca/a/wyGvKXYzZPsTVC87X43ZmmF/?format=pdf&amp;lang=en</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">Anal&#xED;tica</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">86683</subfield>
    <subfield code="d">86683</subfield>
  </datafield>
</record>
