Examinando por Autor "Vera Díaz, Elvis"

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Change of vegetation cover and land use of the Pómac forest historical sanctuary in northern Peru
(Springer Nature, 2024-04-06) Vera Díaz, Elvis; Camila Leandra, Cruz Grimaldo; Barboza Castillo, Elgar; Salazar Coronel, Wilian; Canta Ventura, Jorge Marino; Salazar Hinostroza, Evelin Judith; Vásquez Pérez, Héctor Vladimir; Arbizu Berrocal, Carlos Irvin
The dry forests of northern Peru, in the regions of Piura, Tumbes, Lambayeque, and La Libertad, have experienced significant changes as a result of deforestation and changes in land use, leading to the loss of biodiversity and resources. This work analyzed for the first time the changes in vegetation cover and land use of the Pómac Forest Historical Sanctuary (PFHS), located in the department of Lambayeque (northern Peru). The employed approach was the random forest algorithm and visually interpreted Landsat satellite images for the periods 2000–2002, 2002–2004, and 2004–2008. Gain and loss rates were computed for each period, and the recovery process was assessed using the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). Results indicate an expansion of agricultural land during each period, resulting in the deforestation of 102.6 hectares of dense dry forest and 739.9 hectares of open dry forest between 2000 and 2008. The degree of reforestation in the cleared areas was measured using the NDVI and EVI indices, revealing an improvement from 0.22 in NDVI in 2009 to 0.36 in 2022, and from 0.14 to 0.21 in EVI over the same period. This study is expected to pave the way for executing land management plans, as well as the use and conservation of natural resources in the PFHS in a sustainable manner.
Dosis de bioestimulante y distanciamiento de siembra en correlación con los parámetros productivos en aguaymanto (Physalis peruviana L.)
(Universidad Autónoma de Yucatán, 2023-12-27) Peña Castillo, Ricardo; Neira Ojeda, Manuel; Javier Alva, Javier; Arévalo Valladolid, Diego; Chanduvi García, Roger; Lindo Seminario, David Enrique; Vera Díaz, Elvis; Calero Merino, Mariano; Quiroz Calderón, Marco; Morales Pizarro, Davies Arturo
Antecedentes: El aguaymanto ha despertado un gran interés en el mercado nacional como en el internacional por sus diferentes usos en la industria estética, medicina, nutrición y gastronomía. Sin embargo, en Perú este cultivo con potencial comercial se desconocen las estrategias de manejo agronómico, resultando en bajos rendimientos y rentabilidad. Objetivo: Evaluar el efecto de diferentes dosis del bioestimulante Biogen 1 (Bg) y distanciamientos de siembra (DS) en la producción y en el análisis económico del aguaymanto. Metodología: Se evaluaron 2 factores: densidad de siembra y dosis de bioestimulante, resultando 6 tratamientos: T1- control (250 ml Bg/200 L + 1m x 1m); T2 (250 ml Bg/200 L + 1.5m x 1.5m); T3 (500 ml Bg/200 L + 1m x 1m); T4 (500 ml Bg/200 L + 1.5m x 1.5m); T5 (750 ml Bg/ 200 L + 1m x 1m) y T6 (750 ml Bg/200 L + 1.5m x 1.5m), empleando un diseño bloques completos al azar. Se evaluaron los siguientes parámetros productivos: número de frutos por planta-NFP, peso del fruto-PF (g), diámetro del fruto-DF (cm), rendimiento por planta-RPP (kg/planta) y rendimiento por hectárea-RPHA (kg ha-1). Resultados. El T6 tuvo los mejores rendimientos por planta; sin embargo, en el rendimiento por hectárea y en el análisis económico T5 tiene mejor comportamiento. En la correlación, el NFP presentó una correlación positiva sobre DF, RPP y RPHA. Asimismo, el PF con DF y RPP. El DF tuvo una correlación positiva con RPP. Sin embargo, RPP presentó una correlación muy débil con RPHA. Implicaciones: El uso adecuado de bioestimulantes y distancia de siembra incrementan los rendimientos del cultivo. Conclusión: El tratamiento T6 mejoró los parámetros evaluados por planta, además, T5 mejoró RPHA y la relación B/C. La correlación positiva indica el efecto directamente proporcional entre los parámetros
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.