<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2007-9028</journal-id>
<journal-title><![CDATA[Ecosistemas y recursos agropecuarios]]></journal-title>
<abbrev-journal-title><![CDATA[Ecosistemas y recur. agropecuarios]]></abbrev-journal-title>
<issn>2007-9028</issn>
<publisher>
<publisher-name><![CDATA[Universidad Juárez Autónoma de Tabasco, Dirección de Investigación y Posgrado]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-90282022000300006</article-id>
<article-id pub-id-type="doi">10.19136/era.a9n3.3287</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelación del crecimiento de aves Criollas Mexicanas, Rhode Island Red y Hy-Line Brown]]></article-title>
<article-title xml:lang="en"><![CDATA[Growth modelling of Mexican Creole, Rhode Island Red and Hy-Line Brown birds]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Osio-Orihuela]]></surname>
<given-names><![CDATA[Leonardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zárate-Contreras]]></surname>
<given-names><![CDATA[Diego]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cigarroa-Vázquez]]></surname>
<given-names><![CDATA[Francisco Antonio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vazquez-Mendoza]]></surname>
<given-names><![CDATA[Paulina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Cerón]]></surname>
<given-names><![CDATA[Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma Chapingo  ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma de Chiapas Escuela de Estudios Agropecuarios Mezcalapa ]]></institution>
<addr-line><![CDATA[Copainalá Chiapas]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma de Guerrero Centro Regional de Educación Superior de la Costa Chica ]]></institution>
<addr-line><![CDATA[Cruz Grande Guerrero]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2022</year>
</pub-date>
<volume>9</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-90282022000300006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-90282022000300006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-90282022000300006&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: El objetivo fue caracterizar el crecimiento de aves Criollas Mexicanas (CMX), Hy-Line Brown (HLB) y Rhode Island Red (RIR) mediante los modelos Gompertz-Laird (MNGL), Logístico (MNL), Richards (MNR) y Von Bertalanffy (MNVB). Se utilizaron 70 pollitas de cada genotipo. Cada ave fue identificada para registrar su peso de 7 a 210 d de edad. Los parámetros de los modelos se estimaron con el procedimiento NLIN (algoritmo de Marquardt) de SAS. Se calculó el coeficiente de determinación ajustado, criterio de información de Akaike y criterio de información Bayesiana, para cada caso. La tasa de crecimiento inicial (d&#8722;1) en aves CMX fue menor (0.047 15) que en aves RIR (0.071 69) y HLB (0.052 16). Con los cuatro modelos, la tasa de decaimiento en aves CMX fue menor, respecto a los otros genotipos. Asimismo, la edad al máximo crecimiento (d) en las aves CMX, RIR y HLB, varió de 49.4 a 87.9, de 60.7 a 81.6 y de 58.7 a 87.8, respectivamente. Por otro lado, el peso asintótico (g), estimado con los cuatro modelos varió de 2 068.5 a 2 644.3, de 1 902.4 a 2 250.9 y 2 096.3 a 2 464.5, en las aves CMX, RIR y HLB, respectivamente. Con el MNVB se obtuvo el mejor ajuste para los datos de las aves RIR y HLB, en contraste, el MNR fue mejor para las aves CMX, seguido del MNVB. El MNVB sería el más adecuado para el estudio simultáneo del crecimiento de aves CMX, RIR y HLB.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The objective was to characterize the growth of Mexican Creole (MXC), Hy-Line Brown (HLB) and Rhode Island Red (RIR)] birds through non-linear models: Gompertz-Laird (NLMGL), Logistic (NLML), Richards (NLMR) and Von Bertalanffy (NLMVB). Seventy birds of each genotype were used. Each bird was identified to record its weight from 7 to 210 d of age. Parameters of each model were estimated through NLIN procedure (Marquardt´s algorithm) of SAS. The next goodness-of-fit criteria were calculated: adjusted determination coefficient, Akaike information criterion and Bayesian information criterion. Growth initial rate (d&#8722;1) was lower in MXC birds (0.047 15) than in RIR (0.071 69) or HLB (0.052 16) chickens. Rate of decay was lower in MXC birds with all the four models. Likewise, age of maximum growth (d) of MXC, RIR and HLB birds ranged from 49.4 to 87.9, 60.7 to 81.6, and from 58.7 to 87.8, respectively. On the other hand, the asymptotic weight (g) ranged from 2 068.5 to 2 644.3, 1 902.4 to 2 250.9, and from 2 096.3 to 2 464.5 in MXC, RIR and HLB birds, respectively. The best adjustment of RIR and HLB data was obtained with NLMVB, in contrast, NLMR was a better model for MXC birds, followed by NLMVB. The NLMVB would be the most suitable model for the simultaneous analysis of growth of MXC, RIR and HLB birds.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Curva de crecimiento]]></kwd>
<kwd lng="es"><![CDATA[modelos no lineales]]></kwd>
<kwd lng="es"><![CDATA[aves Criollas]]></kwd>
<kwd lng="es"><![CDATA[aves de postura]]></kwd>
<kwd lng="en"><![CDATA[Growth curve]]></kwd>
<kwd lng="en"><![CDATA[nonlinear models]]></kwd>
<kwd lng="en"><![CDATA[Creole birds]]></kwd>
<kwd lng="en"><![CDATA[Layer birds]]></kwd>
</kwd-group>
</article-meta>
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