<?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>2007-7858</journal-id>
<journal-title><![CDATA[CienciaUAT]]></journal-title>
<abbrev-journal-title><![CDATA[CienciaUAT]]></abbrev-journal-title>
<issn>2007-7858</issn>
<publisher>
<publisher-name><![CDATA[Universidad Autónoma de Tamaulipas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-78582025000100176</article-id>
<article-id pub-id-type="doi">10.29059/cienciauat.v19i2.1925</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Asociación de índices de vegetación RGB con rendimiento y dosis de nitrógeno en trigo harinero]]></article-title>
<article-title xml:lang="en"><![CDATA[Association of RGB Vegetation Indices with Yield and Nitrogen Dose in Bread Wheat]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mandujano-Bueno]]></surname>
<given-names><![CDATA[Andrés]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Buenrostro-Rodríguez]]></surname>
<given-names><![CDATA[Juan Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Montero-Tavera]]></surname>
<given-names><![CDATA[Víctor]]></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[Celaya Guanajuato]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Centro Internacional para el mejoramiento de Maíz Trigo  ]]></institution>
<addr-line><![CDATA[El Batán Texcoco Estado de México]]></addr-line>
<country>México</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>19</volume>
<numero>2</numero>
<fpage>176</fpage>
<lpage>188</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-78582025000100176&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-78582025000100176&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-78582025000100176&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El trigo (Triticum aestivum) es un cultivo industrial de primera importancia para México, autosuficiente en la producción de trigo cristalino, pero con déficit de 5 200 000 T anuales de trigo harinero. Esta problemática es multifactorial, algunos de los componentes más importantes son el diferencial entre el rendimiento actual y potencial, así como el manejo deficiente de la fertilización nitrogenada. El objetivo de esta investigación fue determinar si existe correlación significativa entre el Índice de Vegetación estimado a partir de ortofotos en luz visible con el rendimiento y las necesidades de nitrógeno del trigo harinero, para complementar o reemplazar el índice NDVI obtenido con el sensor infrarrojo Greenseeker&#8482;, y contribuir con ello a la nutrición racional de las plantas. Se cultivó la variedad Alondra F2014 en Celaya, Guanajuato, México, y se aplicaron 6 tratamientos de fertilización nitrogenada (0 kg/ha a 300 kg/ha de nitrógeno, en incrementos de 60 kg) bajo un diseño de bloques completos al azar con tres repeticiones, durante los ciclos de cultivo OI 2021-2022 y OI 2022-2023. Las variables estimadas fueron rendimiento de grano, los índices de vegetación GLI, TGI, VARI, GRVI y RGBVI, calculados sobre ortofotos construidas a partir de imágenes obtenidas por un vehículo aéreo no tripulado, y el índice NDVI como testigo, medido con el sensor GreenSeeker&#8482;; todos ellos estimados semanalmente a partir de 20 d después de la siembra y hasta el inicio de la madurez fisiológica. Los resultados demuestran altos coeficientes de correlación &#8805; 0.90 entre todas las variables; y altos coeficientes de determinación, promedio en la etapa de encañe inicial de 0.80 a 0.91 entre los índices RGB y NDVI, y (R2) &#8805; 0.86 entre índices VIV con el rendimiento. Los índices VIV, especialmente VARI, pueden emplearse en lugar del NDVI como herramienta para identificar eficientemente las necesidades del cultivo.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Wheat (Triticum aestivum) is an industrial crop of primary importance for Mexico, selfsufficient in the production of durum wheat, but with a deficit of 5 200 000 T of bread wheat per year. This problem is multifactorial, some of the most important components are the difference between current and potential yield, as well as poor management of nitrogen fertilization. The objective of this research was to determine if there is a significant correlation between Vegetation Indices estimated from visible light orthophotos with the yield and nitrogen needs of bread wheat to complement or replace the NDVI indices obtained with the Greenseeker&#8482; infrared sensor, and thus contribute to the rational nutrition of plants. For this purpose, the Alondra F2014 variety was grown in Celaya, Guanajuato, Mexico and six nitrogen fertilization treatments were applied (0 kg/ha to 300 kg/ha of nitrogen, in increments of 60 kg) under a randomized complete block design with three repetitions, during the FW 2021-2022 and FW 2022-2023 crop cycles. The estimated variables were grain yield, the GLI, TGI, VARI, GRVI and RGBVI vegetation indices, calculated on orthophotos constructed from images obtained by an Unmanned Aerial Vehicle, and the NDVI indices as a control, measured with the GreenSeeker&#8482; sensor; all of them were estimated weekly from 20 d after sowing and until physiological maturity. The results show high correlation coefficients, &#8805; 0.90 between all variables, and high coefficients of determination average at the tillage stage from 0.80 to 0.91 between RGB and NDVI indices and (R2) &#8805; 0.86 between VIV indices and yield. Therefore, VIV indices, especially VARI, can be used instead of NDVI as a tool to efficiently identify crop needs.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[trigo harinero]]></kwd>
<kwd lng="es"><![CDATA[rendimiento]]></kwd>
<kwd lng="es"><![CDATA[nitrógeno fertilizado]]></kwd>
<kwd lng="es"><![CDATA[índices de vegetación]]></kwd>
<kwd lng="es"><![CDATA[ortofotos]]></kwd>
<kwd lng="en"><![CDATA[bread wheat]]></kwd>
<kwd lng="en"><![CDATA[yield]]></kwd>
<kwd lng="en"><![CDATA[nitrogen fertilization]]></kwd>
<kwd lng="en"><![CDATA[vegetation indices]]></kwd>
<kwd lng="en"><![CDATA[orthophotos]]></kwd>
</kwd-group>
</article-meta>
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