<?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>0187-7380</journal-id>
<journal-title><![CDATA[Revista fitotecnia mexicana]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. fitotec. mex]]></abbrev-journal-title>
<issn>0187-7380</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Fitogenética A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0187-73802024000400359</article-id>
<article-id pub-id-type="doi">10.35196/rfm.2024.4.359</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Simulación del crecimiento y rendimiento de frijol cultivado bajo temporal con el modelo AquaCrop]]></article-title>
<article-title xml:lang="en"><![CDATA[Simulation of growth and yield of beans cultivated under rainfed conditions with the AquaCrop model]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Flores-Gallardo]]></surname>
<given-names><![CDATA[Hilario]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Flores-Magdaleno]]></surname>
<given-names><![CDATA[Héctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rubiños-Panta]]></surname>
<given-names><![CDATA[Juan Enrique]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Prado-Hernández]]></surname>
<given-names><![CDATA[Jorge Víctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Meraz-Maldonado]]></surname>
<given-names><![CDATA[Nora]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ascencio-Hernández]]></surname>
<given-names><![CDATA[Roberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Montecillo Estado de México]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias Centro de Investigación Regional Noreste ]]></institution>
<addr-line><![CDATA[Río Bravo Tamaulipas]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Autónoma Chapingo Departamento de Suelos ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Colegio de Postgraduados  ]]></institution>
<addr-line><![CDATA[Texcoco Estado de México]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>47</volume>
<numero>4</numero>
<fpage>359</fpage>
<lpage>368</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0187-73802024000400359&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0187-73802024000400359&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0187-73802024000400359&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La agricultura desarrollada bajo condiciones de temporal (secano) cubre la mayor superficie a nivel mundial y en México; por lo tanto, se requiere la utilización de herramientas como los modelos para la simulación de cultivos, los cuales operan con datos climáticos, edáficos, fenología y manejo agronómico, permitiendo orientar a los productores agrícolas con asesoría técnica sobre el crecimiento, rendimiento esperado y potencial de un cultivo para un área agrícola específica. Actualmente, en México la utilización de modelos de simulación es limitada por la cantidad de parámetros necesarios y la información específica que se requiere obtener en campo de forma integral y veraz. El objetivo de la presente investigación fue parametrizar el modelo AquaCrop para modelar el rendimiento del cultivo de frijol pinto var. Centauro cultivado bajo condiciones de temporal en el estado de Durango, México, durante los ciclos agrícolas primavera-verano (P-V) 2013 y 2014. Se compararon los datos observados y simulados para calibrar y validar el modelo utilizando información sobre la cobertura del dosel vegetal, producción de biomasa y rendimiento de grano en la cosecha con datos experimentales de parcelas semi-comerciales ubicadas en los campos experimentales del INIFAP y se utilizaron parcelas comerciales de productores cooperantes establecidas en zonas representativas de Durango, México. Los resultados mostraron predicciones del rendimiento de grano de 0.18 t ha-1 para la raíz cuadrada del cuadrado medio del error (RMSE), un índice de Willmott (d) de 1.0, un coeficiente de determinación (R  2 ) de 0.94, una desviación estándar (&#963;) de 0.10 y un coeficiente de variación (CV) de 0.11. El modelo AquaCrop es una alternativa viable con previa calibración y validación, para conocer el rendimiento esperado y potencial del cultivo de frijol producido bajo condiciones de temporal.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Summary Agriculture developed under rainfed conditions covers the largest area in the world and in Mexico; therefore, tools such as crop simulation models are required, which operate with climate, soil, phenology and agronomic management data, allowing to guide agricultural producers with technical advice on growth, expected and potential yield of the crop for a specific agricultural area. Currently, in Mexico the use of simulation models is limited by the number of parameters required and the specific information that needs to be obtained in the field in a comprehensive and truthful manner. The objective of this research was to parameterize the AquaCrop model to simulate the yield of the pinto bean cv. Centauro grown under rainfed conditions in the state of Durango, Mexico, during the 2013 and 2014 SpringSummer (S-S) agricultural seasons. Observed and simulated data were compared to calibrate and validate the model using information on canopy coverage, biomass production and grain yield at harvest with experimental data from semi-commercial plots located at INIFAP experiment stations and commercial plots of cooperating producers established in representative areas of Durango, Mexico. Results showed grain yield predictions of 0.18 t ha-1 for the square root of the mean square error (RMSE), a Willmott index (d) of 1.0, a determination coefficient (R  2 ) of 0.94, a standard deviation (&#963;) of 0.10 and a coefficient of variation (CV) of 0.11. The AquaCrop model is a viable alternative, with a previous calibration and validation, to know the expected and potential yield of the bean crop produced under rainfed conditions.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Phaseolus vulgaris]]></kwd>
<kwd lng="es"><![CDATA[calibración]]></kwd>
<kwd lng="es"><![CDATA[secano]]></kwd>
<kwd lng="es"><![CDATA[validación]]></kwd>
<kwd lng="en"><![CDATA[Phaseolus vulgaris]]></kwd>
<kwd lng="en"><![CDATA[calibration]]></kwd>
<kwd lng="en"><![CDATA[rainfed]]></kwd>
<kwd lng="en"><![CDATA[validation]]></kwd>
</kwd-group>
</article-meta>
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