Demanda hídrica de pimienta negra (Piper nigrum L.) determinada por NDVI
DOI:
https://doi.org/10.15517/zxczt264Palabras clave:
teledetección, coeficiente de cultivo, agricultura de precisión, riegoResumen
Introducción. La escasez de agua compromete la productividad agrícola y requiere herramientas de gestión precisas. El Índice de Vegetación de Diferencia Normalizada (NDVI) surge como una alternativa eficaz para estimar el coeficiente de cultivo y monitorear los requerimientos hídricos de los cultivos. Objetivos. Estimar la demanda hídrica de los cultivos de pimienta negra durante la fase de floración en la región noreste de Pará, utilizando imágenes satelitales para obtener el NDVI y, a partir de él, estimar el coeficiente de cultivo. Materiales y métodos. El estudio se realizó de 2016 a 2018 en la comunidad Avelinos, Santa Luzia do Pará, Brasil, en un área cultivada con pimienta negra de 1, 2 y 3 años. Se obtuvieron coordenadas por GPS y se utilizaron imágenes de Landsat 8 para calcular el NDVI. El coeficiente de cultivo (Kc) se estimó utilizando el algoritmo SAFER a partir del NDVI, y la evapotranspiración del cultivo (ETc) se calculó multiplicando Kc por la evapotranspiración de referencia. Resultados. En áreas con 1 y 2 años de cultivo, el Kc osciló entre 0,22 y 1,00, mientras que, en el área con 3 años de cultivo, los valores estuvieron entre 0,11 y 0,33, lo que indica bajo vigor vegetativo y estrés hídrico. La demanda hídrica estimada para la fase de floración fue de 2,50, 2,62 y 1,30 L m² día-1 para áreas con 1, 2 y 3 años de cultivo, respectivamente. Conclusiones. Las estimaciones basadas en el NDVI capturaron eficazmente los requerimientos hídricos y el vigor vegetativo en diferentes edades de cultivo, revelando que el área de mayor antigüedad presenta una menor demanda hídrica aliada a un elevado estrés hídrico. Dada la ausencia de valores específicos para las etapas fenológicas de la pimienta negra, estos parámetros estimados constituyen una base fundamental para el perfeccionamiento del manejo del riego en el Nordeste de Pará.
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Los datos de la investigación consisten en imágenes satelitales adquiridas de la base de datos de la plataforma Explore del Servicio Geológico de Estados Unidos, fácilmente accesible en el sitio web de la institución.
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Derechos de autor 2026 Lailson da Silva Freitas, Felix Lélis da Silva, Raimunda Eliane Nascimento do Nascimento, Élvis da Silva Alves, Maryjane Diniz Araújo Gomes (Autor/a)

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.




















