<?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>2007-1124</journal-id>
<journal-title><![CDATA[Revista mexicana de ciencias pecuarias]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. de cienc. pecuarias]]></abbrev-journal-title>
<issn>2007-1124</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-11242025000200428</article-id>
<article-id pub-id-type="doi">10.22319/rmcp.v16i2.6637</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Estimación de la composición química de granos y pastas proteicas mediante espectroscopia (NIRS-FTIR)]]></article-title>
<article-title xml:lang="en"><![CDATA[Estimation of the chemical composition of grains and protein meals by spectroscopy (NIRS-FTIR)]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Basurto Gutiérrez]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramírez Rodríguez]]></surname>
<given-names><![CDATA[Ericka]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mariscal Landín]]></surname>
<given-names><![CDATA[Gerardo]]></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 Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal ]]></institution>
<addr-line><![CDATA[ Querétaro]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>16</volume>
<numero>2</numero>
<fpage>428</fpage>
<lpage>445</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-11242025000200428&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-11242025000200428&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-11242025000200428&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El objetivo de este estudio fue utilizar la espectroscopía de reflectancia del infrarrojo cercano (NIRS) para estimar la composición química de ingredientes para cerdos. Se recolectaron muestras (n=118) de granos (maíz y sorgo) y harinas (soya y canola). Las muestras se analizaron para materia seca (MS), materia orgánica (MO), proteína cruda (PB), extracto etéreo (EE), fibra detergente neutro (FDN) o fibra detergente ácido (FDA), almidón total (almidón y energía bruta (EB) y fueron escaneadas con un espectrofotómetro FTIR. Con esta información, ecuaciones de calibración (ECS) fueron desarrolladas con el uso de un paquete de programa (TQ Analyst; Thermo Fisher Scientific). La selección de CE se basó en la minimización de los errores estándar de calibración (EEC), de la validación cruzada (EEVC) y de predicción (EEP), y la maximización de los coeficientes de determinación de la calibración (R2cal), y validación. (R2val). El poder predictivo de la ECS se evaluó mediante la estadística RPD (tasa/desviación de predicción). Excepto MS, las estadísticas de MO (0,99, 0,21, 0,39, 0,999, 0,34 y 7,3), PC (0,99, 0,62, 0,95, 0,998; 0,99 y 28,2), EE (0,98, 0,15, 0,31, 0,963, 0,22 y 3,7), FDN (0,98, 0,60, 1,82, 0,962; 1,38 y 3,6), ADF (0,99, 0,70, 1,43, 0,979, 1,04 y 4,6), almidón (0,99, 2,31, 3,34, 0,994; 3,03 y 9.7) y EB (0.98, 22.8, 34.9, 0.976; 36.0 y 4.2), R2cal, EE, EEVC, R2val, EEP y RPD, respectivamente, apoyan la conclusión de que los ECS tienen una capacidad predictiva aceptable de la composición química de ingredientes para la alimentación de cerdos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study aimed to use near-infrared reflectance spectroscopy (NIRS) to estimate the chemical composition of ingredients for pigs. Samples (n=118) of grains (corn and sorghum) and meals (soybeans and rapeseed) were collected. Samples were analyzed for dry matter (DM), organic matter (OM), crude protein (CP), ethereal extract (EE), neutral detergent fiber (NDF) or acid detergent fiber (ADF), total starch (starch), and gross energy (GE), and were scanned with an FTIR spectrophotometer. This information was used to develop calibration equations (CES) by employing a program package (TQ Analyst; Thermo Fisher Scientific). The selection of the CE was based on the minimization of standard errors of calibration (SEC), cross-validation (SECV) and prediction (SEP), and the maximization of determination coefficients of calibration (R2cal) and validation (R2val). The predictive power of the CE was assessed using the RPD (ratio of prediction to deviation) statistic. Except for DM, the statistics for OM (0.99, 0.21, 0.39, 0.999, 0.34, and 7.3), CP (0.99, 0.62, 0.95, 0.998, 0.99, and 28.2), EE (0.98, 0.15, 0.31, 0.963, 0.22, and 3.7), NDF (0.98, 0.60, 1.82, 0.962, 1.38, and 3.6), ADF (0.99, 0.70, 1.43, 0.979, 1.04, and 4.6), starch (0.99, 2.31, 3.34, 0.994, 3.03, and 9.7), and GE (0.98, 22.8, 34.9, 0.976, 36.0, and 4.2), R2cal, SEC, SECV, R2val, SEP, and RPD, respectively, support the conclusion that CES have an acceptable predictive capacity of the chemical composition of pig feed ingredients.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Espectroscopía]]></kwd>
<kwd lng="es"><![CDATA[Alimentos]]></kwd>
<kwd lng="es"><![CDATA[Cerdos]]></kwd>
<kwd lng="en"><![CDATA[Spectroscopy]]></kwd>
<kwd lng="en"><![CDATA[Feed]]></kwd>
<kwd lng="en"><![CDATA[Pigs]]></kwd>
</kwd-group>
</article-meta>
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