<?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>0188-8897</journal-id>
<journal-title><![CDATA[Hidrobiológica]]></journal-title>
<abbrev-journal-title><![CDATA[Hidrobiológica]]></abbrev-journal-title>
<issn>0188-8897</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma Metropolitana, División de Ciencias Biológicas y de la Salud]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-88972017000200175</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Edad y crecimiento de la almeja chocolata Megapitaria squalida (Bivalvia: Veneridae) en la costa oriental del Golfo de California]]></article-title>
<article-title xml:lang="en"><![CDATA[Age and growth of the squalid callista Megapitaria squalida (Bivalvia: Veneridae) in the Eastern coast of the Gulf of California]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aragón-Noriega]]></surname>
<given-names><![CDATA[Eugenio Alberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Centro de Investigaciones Biológicas del Noroeste  ]]></institution>
<addr-line><![CDATA[Guaymas Sonora]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2017</year>
</pub-date>
<volume>27</volume>
<numero>2</numero>
<fpage>175</fpage>
<lpage>184</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-88972017000200175&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-88972017000200175&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-88972017000200175&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Antecedentes:  La almeja chocolata, Megapitaria squalida, es un recurso pesquero importante en el Golfo de California, por lo que para su manejo sostenible es necesario determinar la estructura por edades y el patrón de crecimiento indi vidual. Los estudios previos sobre el crecimiento de M. squalida sólo han utilizado el modelo de crecimiento de von Ber talanffy (MCVB).  Objetivos:  Analizar el crecimiento individual de la almeja chocolata mediante un enfoque de inferencia multimodelo.  Métodos:  Se pusieron a prueba tres modelos: logístico (ML), Gompertz y MCVB. Los parámetros de cada uno y sus respectivos intervalos de confianza (IC) fueron calculados con el método de máxima verosimilitud. Se seleccio nó el mejor modelo a través del criterio de información de Akaike.  Resultados:  Se recolectaron 719 individuos en Yavaros, Sonora. Se obtuvo una talla mínima de 33 mm de longitud de concha (LC) y una LC máxima de 104 mm, con promedio de 68.9±10.2 mm, coeficiente de variación (CV) 14.8%. Se encontraron organismos con un anillo de crecimiento como mínimo y máximo de 10 anillos, con promedio de 6±1 años, CV 22.9%. El valor de ponderación de Akaike para ML fue 92.4%, para L&#8734;, de 85.5 mm LT (95% IC: 85.0 - 86.2 mm) y para k, de 0.45 año-1. La ponderación para el MCVB fue indetectable.  Conclusiones:  El crecimiento de M. squalida se detalla de mejor manera con la aplicación de un modelo sigmoideo; el MCVB no es adecuado para esta especie.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Background: The squalid callista Megapitaria squalida is an important fishery resource along the east coast of the Gulf of California. To manage this resource sustainably, we need to address its individual growth pattern. Previous studies on M. squalida growth have fitted the von Bertalanffy growth model (VBGM) without examining alternative models.  Goals: In this study, the main objective was to analyze the individual growth of the squalid callista via a multi-model inference approach rather than simply applying the VBGM.  Methods: Three growth models - Logistic (LM), Gompertz, and VBGM - were tested. The parameters of each model and their confidence intervals (CI) were computed using the maximum likelihood method.  Results:  Growth rings of 719 individuals collected in the littoral area of Yavaros, Sonora, were counted. The minimal size recorded was 33 mm of total shell length and the maximum was 104 mm; the average was 68.9±10.2 mm, and the coefficient of variation (CV) was 14.8%. Individuals with a minimum of one growth ring year and maximum of 10 growth rings were recorded. The average growth rings were 6±1, CV 22.9%. The LM better described the individual growth of squalid callista since its Akaike weight value was 92.4% whileit was undetectablefor the MCVB. The value of L&#8734;, with LM was 85.5 mm (95% CI: 85.0-86.2 mm).  Conclusions:  We concluded that M. squalidagrowth is best descri bed by a sigmoid model, and that the MCVB is not suitable for this species.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Almeja chocolata]]></kwd>
<kwd lng="es"><![CDATA[Golfo de California]]></kwd>
<kwd lng="es"><![CDATA[modelos de crecimiento]]></kwd>
<kwd lng="es"><![CDATA[teoría de información]]></kwd>
<kwd lng="en"><![CDATA[Information theory]]></kwd>
<kwd lng="en"><![CDATA[growth models]]></kwd>
<kwd lng="en"><![CDATA[Gulf of California]]></kwd>
<kwd lng="en"><![CDATA[multi-model approach]]></kwd>
<kwd lng="en"><![CDATA[squalid callista]]></kwd>
</kwd-group>
</article-meta>
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