<?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>0187-5779</journal-id>
<journal-title><![CDATA[Terra Latinoamericana]]></journal-title>
<abbrev-journal-title><![CDATA[Terra Latinoam]]></abbrev-journal-title>
<issn>0187-5779</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de la Ciencia del Suelo A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0187-57792020000500859</article-id>
<article-id pub-id-type="doi">10.28940/terra.v38i4.751</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Rendimiento de maíz (Zea mays L.) en la mixteca, calculado con DSSAT]]></article-title>
<article-title xml:lang="en"><![CDATA[Maize (Zea mays L.) yields in southern Mexico calculated by the Decision Support System for Agrotechnology Transfer]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García-Montesinos]]></surname>
<given-names><![CDATA[Luis Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernández-Reynoso]]></surname>
<given-names><![CDATA[Demetrio Salvador]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rubio-Granados]]></surname>
<given-names><![CDATA[Erasmo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez-Menez]]></surname>
<given-names><![CDATA[Mario Roberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tijerina-Chávez]]></surname>
<given-names><![CDATA[Leonardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados Campus Montecillo ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Distribuidora y Dispersora de Recursos KANKI, S.P.R. DE R.L  ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>38</volume>
<numero>4</numero>
<fpage>859</fpage>
<lpage>870</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-57792020000500859&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-57792020000500859&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-57792020000500859&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: Los modelos de simulación, basados en procesos biofísicos, aplicados a la agricultura permiten conocer la dinámica de variables biológicas y ambientales, pero su uso implica grandes cantidades de información de suelo, clima, manejo y fenología de cultivos. En este estudio se calibraron y validaron, con el rendimiento del grano, los coeficientes genéticos del modelo CERES-Maize (Crop Environment Resource Synthesis) (DSSAT, versión 4.7) de plantas híbridas y criollas de maíz (Zea mays L.). El objetivo fue determinar el alcance y las limitaciones del modelo para estimar rendimientos de grano en la región Mixteca de Oaxaca, México. Para el proceso de calibración el ajuste para el maíz híbrido mostró r2 = 0.94 y RMSE = 567.11 y para el criollo se obtuvo r2 = 0.86 y RMSE = 601.58. En el proceso de validación correlación del maíz híbrido mostró r2 = 0.73 y RMSE = 976.65, valores mayores que el cultivar criollo (r2 = 0.62, RMSE = 698.74). El modelo CERES subestimó en promedio 10% del rendimiento del grano. Los cultivares híbridos mostraron un ajuste 10% mayor que los criollos. En general el modelo CERES-Maize estimó adecuadamente los rendimientos de maíz.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Summary: Simulation models -based on biophysical processes- applied to agriculture allow knowing the dynamics of biological and environmental variables, but its use involves a large amount of soil information, climate, crop management and phenology. This study calibrated and validated, with grain yield, the genetic coefficients of the Crop Environment Resource Syntesis model (CERES-Maize) (DSSAT, version 4.7) of hybrid plants and corn creoles (Zea mays L.) The objective was to determine the scope and limitations of the model for estimating grain yields in the Mixteca (southern Mexico) region of Oaxaca, Mexico. For the calibration process, the setting for hybrid maize showed r2 = 0.94 and RMSE = 567.11 and r2 = 0.86 and RMSE = 601.58 for the Creole. The validation correlation process of hybrid maize showed r2 = 0.73 and RMSE = 976.65, values greater than Creole cultivation (r2 = 0.62, RMSE = 698.74). The CERES model underestimated in average 10% of grain yield. Hybrid cultivars showed 10% greater fit than Creole. In general, the CERES-Maize model adequately estimated maize yields.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[CERES-maize]]></kwd>
<kwd lng="es"><![CDATA[coeficientes genéticos]]></kwd>
<kwd lng="es"><![CDATA[maíz criollo]]></kwd>
<kwd lng="es"><![CDATA[simulación regional]]></kwd>
<kwd lng="en"><![CDATA[CERES-maize]]></kwd>
<kwd lng="en"><![CDATA[genetic coefficient]]></kwd>
<kwd lng="en"><![CDATA[creole maize]]></kwd>
<kwd lng="en"><![CDATA[regional simulation]]></kwd>
</kwd-group>
</article-meta>
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