<?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>S2007-09342025000900016</article-id>
<article-id pub-id-type="doi">10.29312/remexca.v16i30.4053</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Ciclos agrícolas análogos al ENOS: predicción de rendimientos de maíz y frijol de temporal en México]]></article-title>
<article-title xml:lang="en"><![CDATA[Agricultural cycles analogous to ENSO: prediction of yields of rainfed corn and beans in Mexico]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-González]]></surname>
<given-names><![CDATA[Miguel Ángel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corrales-Suastegui]]></surname>
<given-names><![CDATA[Arturo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Narváez-Mendoza]]></surname>
<given-names><![CDATA[Mario Primitivo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Jasso]]></surname>
<given-names><![CDATA[Luis Antonio]]></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[ Aguascalientes]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<volume>16</volume>
<numero>spe30</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-09342025000900016&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-09342025000900016&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-09342025000900016&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El sector socioeconómico depende cada vez más de herramientas eficientes y accesibles para predecir condiciones agroambientales. Este estudio utiliza un modelo de clasificación de árbol de decisiones para identificar ciclos agrícolas similares al fenómeno climático de El Niño Oscilación del Sur. El objetivo es relacionar históricamente los rendimientos agrícolas nacionales de maíz y frijol de temporal en México con ENOS, por medio de los censos agrícolas primavera-verano (PV) de 1980-2014 e identificar los ciclos primavera-verano análogos al El Niño Oscilación del Sur y simular posteriormente los rendimientos de 2015-2023 (promedio de años análogos) para ambos cultivos. Adicionalmente, los valores de las simulaciones se ajustaron con métodos como la desviación de rendimientos y la tendencia con la prueba de Mann-Kendall, del ciclo anterior. Los resultados del error de porcentaje medio absoluto (MAPE) muestran un buen ajuste para el maíz (MAPE= 4%) y el frijol (MAPE= 14%) con el uso de las desviaciones, la incorporación de la tendencia mejora ligeramente el ajuste en el frijol (MAPE= 11%), pero no en el maíz (MAPE= 22%). La eficacia de estos métodos como pronóstico de rendimientos con meses de anticipación depende en gran medida de la precisión de los pronósticos de la temperatura de El Niño Oscilación del Sur. Este método empírico demuestra potencial para aplicarse en otros cultivos de temporal y regiones influenciadas por El Niño Oscilación del Sur, por lo que ofrece una herramienta útil para la antelación de impactos socioeconómicos relacionados con este fenómeno.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The socioeconomic sector is increasingly relying on efficient and accessible tools to predict agri-environmental conditions. This study uses a decision tree classification model to identify agricultural cycles similar to the El Niño Southern Oscillation climate phenomenon. The objective is to historically relate the national agricultural yields of rainfed corn and beans in Mexico with ENSO, through the spring-summer (SS) agricultural censuses of 1980-2014, and to identify the spring-summer cycles analogous to the El Niño Southern Oscillation and subsequently simulate the yields of 2015-2023 (average of analogous years) for both crops. Additionally, the values of the simulations were adjusted using methods such as yield deviation and trend with the Mann-Kendall test of the previous cycle. The results of the mean absolute percentage error (MAPE) show a good fit for corn (MAPE= 4%) and beans (MAPE= 14%) with the use of deviations; the incorporation of the trend slightly improves the fit in beans (MAPE= 11%), but not in corn (MAPE= 22%). The effectiveness of these methods in forecasting yields months in advance depends mainly on the accuracy of El Niño Southern Oscillation temperature forecasts. This empirical method demonstrates potential to be applied in other rainfed crops and regions influenced by the El Niño Southern Oscillation; therefore, it offers a valuable tool for anticipating socioeconomic impacts related to this phenomenon.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[datos históricos]]></kwd>
<kwd lng="es"><![CDATA[predicción de cosechas]]></kwd>
<kwd lng="es"><![CDATA[teleconexión climática]]></kwd>
<kwd lng="en"><![CDATA[climate teleconnection]]></kwd>
<kwd lng="en"><![CDATA[crop prediction]]></kwd>
<kwd lng="en"><![CDATA[historical data]]></kwd>
</kwd-group>
</article-meta>
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