<?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>2007-0934</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias agrícolas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Mex. Cienc. Agríc]]></abbrev-journal-title>
<issn>2007-0934</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-09342019001000175</article-id>
<article-id pub-id-type="doi">10.29312/remexca.v0i23.2019</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Acumulación de horas frío para la producción de arándano en Nayarit, México]]></article-title>
<article-title xml:lang="en"><![CDATA[Accumulation of cold hours for cranberry production in Nayarit, Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Álvarez-Bravo]]></surname>
<given-names><![CDATA[Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bugarín-Montoya]]></surname>
<given-names><![CDATA[Rubén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arellano-Figueroa]]></surname>
<given-names><![CDATA[Mairim Elizabeth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias  ]]></institution>
<addr-line><![CDATA[ Nayarit]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Autónoma de Nayarit Unidad Académica de Agricultura ]]></institution>
<addr-line><![CDATA[Tepic Nayarit]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,maieli51@gmail.com  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>11</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>11</month>
<year>2019</year>
</pub-date>
<volume>10</volume>
<numero>spe23</numero>
<fpage>175</fpage>
<lpage>185</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-09342019001000175&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-09342019001000175&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-09342019001000175&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El clima es un factor determinante del rendimiento y calidad en sistemas de producción agrícola. El objetivo de este trabajo fue cuantificar las horas frío-acumulables en Nayarit y utilizar dicha información como indicador agroclimático en la regionalización para la producción de arándano (Vaccinium corymbosum L.). En la investigación se emplearon datos de la red de estaciones agrometeorológicas de Nayarit, la cual se compone de 38 estaciones automatizadas que colectaron datos quinceminutales de 11 variables. Con registros de temperatura mínima se calcularon las horas frío, las cuales se organizaron por mes y acumulación por año. Mediante un sistema de información geográfica se representó cartográficamente la distribución de las horas frío anual (HFA), con interpolación y organización de los resultados en cuatro fases (&lt;299, 300-399, 400-499 y 500-699). Para cada clase de HFA, se cuantificó la superficie en cada uno de los 20 municipios. Finalmente se evaluó la precisión del modelo de interpolación contra una base de datos ajena al conjunto de datos principal. Los resultados muestran cómo solamente en el 27.4% de la superficie estatal se acumulan más de 300 HFA que es el requerimiento mínimo para arándano. Las condiciones térmicas para arándano se ubican principalmente en el centro y sur del estado, resaltando los municipios de Compostela, Xalisco, Tepic, Santa María del Oro, Jala, La Yesca e Ixtlán del Río que representan el 81.6% de la superficie apta. Los resultados son un precedente sobre la acumulación de horas de frío en Nayarit y funge como instrumento de planeación para tomadores de decisión, técnicos y productores interesados en el cultivo de arándano.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The climate is a determining factor of the yield and quality in agricultural production systems. The objective of this work was to quantify the cumulative cold hours in Nayarit and to use this information as an agroclimatic indicator in the regionalization to produce cranberry (Vaccinium corymbosum L.). The research used data from the network of agrometeorological stations in Nayarit, which consists of 38 automated stations that collected fifteen-minute data of 11 variables. With minimum temperature records, cold hours were calculated, which were organized by month and accumulation per year. Using a geographic information system, the distribution of annual cold hours (HFA) was cartographically represented, with interpolation and organization of the results in four phases (&lt;299, 300-399, 400-499 and 500-699). For each HFA class, the area was quantified in each of the 20 municipalities. Finally, the precision of the interpolation model against a database outside the main data set was evaluated. The results show that only in 27.4% of the state surface accumulate more than 300 HFA which is the minimum requirement for cranberry. The thermal conditions for cranberry are mainly located in the center and south of the state, highlighting the municipalities of Compostela, Xalisco, Tepic, Santa María del Oro, Jala, La Yesca and Ixtlan del Río that represent 81.6% of the apt surface. The results are a precedent for the accumulation of cold hours in Nayarit and serve as a planning tool for decision makers, technicians and producers interested in the cultivation of cranberry.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[agroclimatología]]></kwd>
<kwd lng="es"><![CDATA[horas frío]]></kwd>
<kwd lng="es"><![CDATA[temperatura]]></kwd>
<kwd lng="en"><![CDATA[agroclimatology]]></kwd>
<kwd lng="en"><![CDATA[cold hours]]></kwd>
<kwd lng="en"><![CDATA[temperature]]></kwd>
</kwd-group>
</article-meta>
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