Examinando por Autor "Durán Gómez, Moisés Rodrigo"

Mostrando 1 - 2 de 2

Evaluación del índice de estrés hídrico de cultivos (IEHC) en ají (Capsicum) bajo riego por goteo en las condiciones áridas de la costa norte del Perú
(Universidad Nacional de Trujillo, 2021-10-08) Durán Gómez, Moisés Rodrigo; Ramos Fernandez, Lia; Alvarado Rodríguez, Roberto; Altamirano Gutiérrez, Lisette
A medida que disminuye el agua de riego, la transpiración del cultivo disminuye, resultando en un incremento de la temperatura foliar y un aumento del índice de estrés hídrico del cultivo (IEHC). Por ello, en el estudio, se evaluó la respuesta del Capsicum a diferentes regímenes de riego, con mediciones periódicas de la temperatura de la hoja, la conductancia estomática y la estimación del IEHC. Los tratamientos consistieron en un riego por goteo completo (RO) y riego con déficit (RD-78 y RD-58) que recibieron el 78% y 58% del riego completo, aplicándose un volumen total de agua de 3363, 2618 y 1956 m3 ha-1 para RO, RD-78 y RD-58, respectivamente; and obteniéndose rendimientos máximos de 30,2, 13,9 y 12,9 t ha-1 con IEHC de 0,50, 0,62 y 0,54 en C. bacatum, C. annumm y C. chinense, respectivamente. Los mayores valores de conductancia estomática variaron de 724 a 887 mmol s-1 m-2, con IEHC de 0,1 a 0,3. El valor IEHC de 0,3 (humedad del suelo del 25% al 33%), resulta en un buen indicador del momento del riego, criterio a incorporar con la finalidad de ahorrar agua y mejorar la gestión de programas de riego del Capsicum.
Yield predictions of ‘Del Cerro’ cotton (Gossypium hirsutum L.) germplasm by multispectral monitoring in the north coast of Peru
(Instituto de Investigaciones Agropecuarias, INIA, 2025-02-01) Cruz Grimaldo, Camila Leandra; Nieves Rivera, Marite Yulisa; Vera Díaz, Elvis; Durán Gómez, Moisés Rodrigo; Morales Pizarro, Davies Arturo; Salazar Coronel, Willian; Arbizu Berrocal, Carlos Irvin
Peruvian cotton (Gossypium hirsutum L.) has great acceptance and demand in the national and international textile market due to the excellent quality of its extra-long fiber, durability and resistance. To evaluate cotton cultivar performance, we need to use tools such as drones + sensors. However, these tools have not been widely used in the Peruvian agricultural area. Here we evaluated seven agro-morphological characters of 21 accessions of Del Cerro cotton cultivar from the National Institute of Agrarian Innovation of Peru with highthroughput phenotyping methods. We employed a Matrice 300 RTK unmanned aerial vehicle (UAV) with the MicaSense Dual Red Edge Blue multispectral sensor to assess plant height, yield, and spectral signature during physiological maturity stage; other morphological characters were manually scored. Multispectral monitoring revealed the phytosanitary status of the crop, which begins to enter senescence after 130 d after sowing (DAS) due to the decrease of the vegetation indices (VI). Pearson correlations between yield and VI showed favorable values, exceeding 0.60 at 94 DAS for normalized difference vegetation index (NDVI), relative vigor index (RVI), and normalized difference red edge index (NDRE). Principal component analysis (PCA) was conducted on the same date, a significant correlation was found between NDVI and yield. Additionally, yield prediction equations were generated with the normalized difference water index (NDWI) showing an R value of 0.74 at 130 DAS. The findings of this study suggest that remote sensing evaluation is suitable for estimating ‘Del Cerro’ cotton yield in infrared (IR) bands, providing a tool for germplasm evaluation that can influence decision-making and better conservation strategies.