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Abstract
El presente estudio tiene como objetivo evaluar diferentes estrategias de programación de riego en capsicum Rúbia R. el crecimiento y el rendimiento en un entorno protegido. El experimento se llevó a cabo en el Nordeste de Brasil. Se probaron cinco técnicas de programación de riego para definir la profundidad del agua (lisímetro de pesaje, ecuación de Hargreaves-Samani, evaporímetro de Piché, tensiómetro y sensor de humedad del suelo) y dos frecuencias de aplicación (F1-una vez al día y frecuencia alterna F2). Así que se configuró un experimento de diseño factorial completamente al azar en un esquema factorial de 5 x 2 y, con ocho repeticiones. Se observó que las variables diámetro del tallo e índice de área foliar de la planta estaban influenciadas por lastécnicas de programación de irrigación, los tratamientos basados en los métodos de programación de Hargreaves-Samani y lisímetro de pesaje presentaron los valores más bajos. Los parámetros biométricos de los frutos fueron significativos solo para el tratamiento del Hargreaves-Samani. Se puede concluir que tanto las técnicas de planificación del riego como las frecuencias de riego influyen en el crecimiento y rendimiento del pimiento. Además, las técnicas de gestión del riego basadas en sensores de humedad del suelo proporcionaron los mayores rendimientos.
The present study aimed to evaluate different irrigation scheduling strategies on capsicum growth and yield inprotected environment. The experiment was carried out at the Northeastern of Brazil. Five irrigation scheduling techniques to define water depth (weighing lysimeter, Hargreaves-Samani equation, Piché evaporimeter, tensiometer and soil moisture sensor) andtwo application frequencies (F1-once a day and F2-alternating frequency) were tested. A completely randomized factorial design experiment was installed in a 5 x 2 factorial scheme, with eight replicates. It was observed that the variables stem diameter and leaf area index were influenced by the irrigation scheduling techniques, and treatments based on Hargreaves-Samani and lysimeter scheduling methods led to the lowest values. Fruit biometric parameters were significantly affected only by the Hargreaves-Samani treatment. It can be concluded that both irrigation scheduling techniques and frequencies influenced capsicum growth and yield. Furthermore, irrigation management techniques based on soil sensors caused the highest yields.
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