Examinando por Autor "Cruz Grimaldo, Camila Leandra"

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Complete chloroplast genome of a Peruvian landrace of Cucurbita moschata, loche, and its comparative analysis with other relative species
(Research Square, 2024-10-10) Saldaña Serrano, Carla Liset; Estrada Cañari, Richard; Suca, Esther; Cruz Grimaldo, Camila Leandra; Vilcara, Edgardo; Arbizu Berrocal, Carlos Irvin
Background Loche (Cucurbita moschata) is a pre-Columbian squash that is cultivated exclusively in the northern coast of Peru, Lambayeque. This crop is notable for the presence of warts in its skin and for its vegetative reproduction as it commonly lacks of seeds in fruits. Currently, loche may be considered a new product for international markets, recognizing the gastronomy of Lambayeque in the world and dynamizing the Peruvian agro-export area. However, genomic information about this squash is very limited.
Estimación de la evapotranspiración a partir de imágenes de alta resolución de VANT para sistemas de riego en arrozales de la costa norte de Perú
(Universidad Nacional de Trujillo. Facultad de Ciencia Agropecuarias, 2024-02-05) Ramos Fernández, Lia; Quispe Tito, David; Altamirano Gutiérrez, Lisette; Cruz Grimaldo, Camila Leandra; Quille Mamani, Javier Alvaro; Carbonell Rivera, Juan Pedro; Torralba, Jesús; Ángel Ruiz, Luis
Ante la creciente escasez del agua para la agricultura, el incremento de la demanda de alimentos y los futuros escenarios de sequía que nos plantea el cambio climático es indispensable diseñar nuevas tecnologías que contribuyan a un menor consumo de agua. En esta investigación se han empleado imágenes de alta resolución para estimar la evapotranspiración en arrozales aplicando el modelo de balance de energía METRICTM (Mapping Evapotranspiration at High Resolution using Internalized Calibration). Para ello, se monitorizaron 5900 m2 de cultivo bajo riego por inundación continua (IC) y 2600 m2 bajo la técnica de riego de alternancia humedecimiento y secado (AWD, por sus siglas en inglés), además de algunas parcelas con filtración lateral. Se realizaron 10 vuelos entre las etapas de macollamiento y floración, cinco vuelos con un VANT Matrice 210 con una cámara multiespectral Parrot Sequoia, y cinco vuelos con un Matrice 300 RTK equipado con una cámara térmica H20T. Se colectó información de campo de los índices de vegetación (NDVI e IAF), y lecturas de un radiómetro, para ajustar información de las imágenes multiespectrales y térmicas, respectivamente; y obtener los componentes del balance de energía en superficie. Se obtuvo valores medios para evapotranspiración del cultivo (ETc) de 6,34 ±1,49 y 5,84 ± 0,41 mm d-1 para riego IC y riego AWD, respectivamente, obteniéndose un ahorro de agua del 42% con una reducción del rendimiento en 14%, proporcionando una guía para la gestión adecuada del riego, sin embargo, se sugiere utilizar el modelo para optimizar el rendimiento obteniendo umbrales críticos para la aplicación óptima de AWD frente a la escasez del recurso hídrico.
Performance indicators to characterize the water supply to meet the demands of the Lurin River Basin
(IWA Publishing, 2023-11-17) Olortegui Artica, Christiand; Paredes Arquiola, Javier; Ramos Fernández, Lia; Cruz Grimaldo, Camila Leandra; Salazar Coronel, Wilian; Flores del Pino, Lisveth
Water scarcity and the planning of socioeconomic activities are challenges in the management of water resources. Therefore, the objective of this study was to use reliability indicators (RI) to simulate management scenarios in the Lurin River Basin. First, flow rates for the period 1969–2019 were calculated using the EvalHid HBV hydrological model and SIMGES, both from the AQUATOOL decision support system, to simulate demands. The estimation of agricultural demand IRs was made under three conditions: that the deficits for one, two, and 10 years should not exceed 20–40, 40–60, and 80–100% of the annual demand. The goodness-of-fit indices obtained for flow calibration were 0.716, 0.89, and 0.901 for Nash index (NSE), Nash natural logarithm (Ln NSE), and Pearson's correlation coefficient (R), representing the values of satisfactory, very good, and good, respectively. Agricultural demands present annual deficits of 59–96, 92–138, and 333–688% for one, two, and 10 years, so a 50 m3 reservoir is proposed to meet the IR. Thus, the information generated could be used to improve water resource management in the Lurin Basin.
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.