<?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>0120-9965</journal-id>
<journal-title><![CDATA[Agronomía Colombiana]]></journal-title>
<abbrev-journal-title><![CDATA[Agron. colomb.]]></abbrev-journal-title>
<issn>0120-9965</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia, Facultad de Agronomía]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-99652020000200234</article-id>
<article-id pub-id-type="doi">10.15446/agron.colomb.v38n2.78659</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Influence of the AquaCrop soil module on the estimation of soybean and maize crop yield in the State of Parana, Brazil]]></article-title>
<article-title xml:lang="es"><![CDATA[Influencia del módulo suelo del AquaCrop en la estimación del rendimiento de los cultivos de soya y maíz en el Estado de Paraná, Brasil]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Souza]]></surname>
<given-names><![CDATA[Jorge Luiz Moretti de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosa]]></surname>
<given-names><![CDATA[Stefanie Lais Kreutz]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Piekarski]]></surname>
<given-names><![CDATA[Karla Regina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Tsukahara]]></surname>
<given-names><![CDATA[Rodrigo Yoiti]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Federal do Parana  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Empresa Paranaense de Assistencia Tecnica e Extensao Rural  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Fundacao ABC Pesquisa e Desenvolvimiento Agropecuario  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2020</year>
</pub-date>
<volume>38</volume>
<numero>2</numero>
<fpage>234</fpage>
<lpage>241</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-99652020000200234&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-99652020000200234&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-99652020000200234&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The values of the physical-water attributes of soils for use in agricultural simulation models are usually obtained using difficult and time-consuming methods. The objective of this study was to analyze the performance of the AquaCrop model to estimate soybean and maize crop productivity in the region of Campos Gerais (Brazil), with the option of including soil physical-water attributes in the model. Real crop productivities and input data (soil, climate, crop and soil management) were obtained from experimental stations of the ABC Foundation for the crop years 2006 to 2014. Sixty-four yield simulations were performed for soybean (four municipalities) and 42 for maize (three municipalities), evaluating input soil data scenarios of AquaCrop as follows: i) all soil physical-water attributes were measured (standard) and ii) the attributes were measured only using textural classification of the area (alternative). Real and simulated yields were verified by simple linear regression analyses and statistical indices (r, d, c). The standard scenario yielded performances between very good and excellent (0.75&lt;c&#8804;1.0) for soyb ean and b etween bad and excellent (0.40&lt;c&#8804;1.0) for maize. The alternative scenario was more variable, with performances between terrible and excellent (0.0&lt;c&#8804;1.0) for soybean and terrible and medium (0.0&lt;c&#8804;0.65) for maize. Using only the soil texture classification in AquaCrop indicated an easier way to estimate crop yields, but low performances may restrict estimates of soybean and maize yields in Campos Gerais.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Los valores de los atributos físico-hídricos del suelo para uso en modelos de simulación agrícola generalmente se obtienen usando métodos difíciles y demorados. El objetivo del presente trabajo fue analizar el desempeño del modelo AquaCrop para estimar la productividad de los cultivos soya y maíz en la región de los Campos Gerais (Brasil), de acuerdo con la opción de incluir los atributos físico-hídricos del suelo en el modelo. Las productividades reales de los cultivos y datos de entrada (suelo, clima, cultivo y manejo del suelo) se obtuvieron de las estaciones experimentales de la Fundación ABC, para los años cosecha entre 2006 y 2014. Se llevaron a cabo 64 simulaciones de productividad para soya (cuatro municipios) y 42 para maíz (tres municipios), evaluando escenarios de entrada de los datos del suelo en el AquaCrop de la siguiente manera: i) todos los atributos físico-hídricos del suelo medidos (estándar) y ii) sólo la clasificación textural del área (alternativo). Las productividades reales y simuladas se verificaron por análisis de regresión lineal simple e índices estadísticos (r, d, c). El escenario estándar obtuvo desempeños entre muy bueno y excelente (0.75&lt;c&#8804;1.0) para la soya y entre malo y excelente (0.40&lt;c&#8804; 1.0) para el maíz. El escenario alternativo fue más variable, con desempeños entre pésimo y excelente (0.0&lt;c&#8804;1.0) para soya y entre pésimo y mediano (0.0&lt;c&#8804;0.65) para maíz. Utilizar solamente la clasificación de textura del suelo en el AquaCrop indicó una forma más fácil de estimar los rendimientos de los cultivos, pero los bajos desempeños pueden restringir estimativas de las productividades de los cultivos soya y maíz en Campos Gerais.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[simulation]]></kwd>
<kwd lng="en"><![CDATA[soil attributes]]></kwd>
<kwd lng="en"><![CDATA[Glycine max]]></kwd>
<kwd lng="en"><![CDATA[Zea mays]]></kwd>
<kwd lng="es"><![CDATA[simulación]]></kwd>
<kwd lng="es"><![CDATA[atributos del suelo]]></kwd>
<kwd lng="es"><![CDATA[Glycine max]]></kwd>
<kwd lng="es"><![CDATA[Zea mays]]></kwd>
</kwd-group>
</article-meta>
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