<?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>0258-5936</journal-id>
<journal-title><![CDATA[Cultivos Tropicales]]></journal-title>
<abbrev-journal-title><![CDATA[cultrop]]></abbrev-journal-title>
<issn>0258-5936</issn>
<publisher>
<publisher-name><![CDATA[Ediciones INCA]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0258-59362024000300003</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Asociación de caracteres en líneas avanzadas de arroz tratadas con Biobras-16® y QuitoMax®]]></article-title>
<article-title xml:lang="en"><![CDATA[Trait association in advanced rice lines treated with Biobras-16® and QuitoMax®]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morejón-Rivera]]></surname>
<given-names><![CDATA[Rogelio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Díaz-Solís]]></surname>
<given-names><![CDATA[Sandra H.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Miranda-Castillo]]></surname>
<given-names><![CDATA[Alfredo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Nacional de Ciencias Agrícolas Unidad Científico Tecnológica de Base &#8220;Los Palacios&#8221; ]]></institution>
<addr-line><![CDATA[San José de las Lajas Mayabeque]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Empresa Agroindustrial de Granos &#8220;Los Palacios&#8221;  ]]></institution>
<addr-line><![CDATA[Los Palacios Pinar del Río]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<volume>45</volume>
<numero>3</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0258-59362024000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0258-59362024000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0258-59362024000300003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN En la Finca del productor Rodolfo Miranda del municipio Los Palacios se desarrolló este trabajo con el objetivo de buscar una relación entre el rendimiento, sus componentes y otros caracteres en genotipos de arroz tratados con los bioestimulantes Biobras-16® y QuitoMax®. Se utilizó un diseño completamente aleatorizado con dieciocho tratamientos (un testigo sin aplicación y aplicaciones independientes de Biobras-16® y QuitoMax®), tres réplicas cada uno y se evaluaron seis caracteres cuantitativos. La matriz de datos obtenida fue procesada mediante los Análisis Multivariados de Componentes Principales, Regresión Lineal Múltiple y las correlaciones de Pearson. Los resultados revelaron que la mayoría de las variables evaluadas mostraron correlaciones, excepto el carácter granos llenos por panícula que no se interrelacionó con ningún otro carácter; el análisis de Componentes Principales explicó el 74 % de la varianza total; a la primera componente contribuyeron todas las variables originales, excepto los granos llenos y vanos por panículas que lo hicieron a la segunda; los grupos I y II, donde se incluyeron el cultivar INCA LP-7 y la Línea 4 en combinación con los productos en estudio y la Línea 3 con Biobras-16®, estuvieron caracterizados por poseer los mayores valores en cuanto a todos los caracteres, excepto los granos vanos por panícula. El modelo propuesto por el análisis de regresión lineal múltiple explicó más de un 85 % de la variabilidad en el rendimiento, siendo un predictor óptimo de este carácter para estudios en condiciones similares.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT This study was carried out at the farm of producer Rodolfo Miranda in Los Palacios municipality with the objective of seeking a relationship between yield, its components and other traits in rice genotypes treated with the biostimulants Biobras-16® and QuitoMax®. A completely randomized design was used with eighteen treatments (a control without application and independent applications of Biobras-16® and QuitoMax®) and three replicates each, and six quantitative traits were evaluated. The data matrix obtained was processed by means of Multivariate Principal Component Analysis, Multiple Linear Regression and Pearson correlations. The results revealed that most of the variables evaluated showed correlations, except full grains per panicle that was not interrelated with any other trait. The Principal Component analysis explained 74 % of the total variance, all the original variables contributed to the first component, except full and vain grains per panicle that contributed to the second component. Groups I and II included the cultivar INCA LP-7 and Line 4 in combination with the products under study and Line 3 with Biobras-16®. They were characterized by having the highest values for all traits, except vain grains per panicle, and the model proposed by the multiple linear regression analysis explained more than 85 % of the variability in yield, being an optimal predictor of this trait for studies under similar conditions.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Oryza sativa]]></kwd>
<kwd lng="es"><![CDATA[rendimiento]]></kwd>
<kwd lng="es"><![CDATA[fincas]]></kwd>
<kwd lng="es"><![CDATA[estadísticas]]></kwd>
<kwd lng="en"><![CDATA[Oryza sativa L.]]></kwd>
<kwd lng="en"><![CDATA[yield]]></kwd>
<kwd lng="en"><![CDATA[farms]]></kwd>
<kwd lng="en"><![CDATA[multivariate technical.]]></kwd>
</kwd-group>
</article-meta>
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