Examinando por Autor "Chuquibala Checan, Beimer"

Mostrando 1 - 4 de 4

Global perspectives on the biodegradation of LDPE in agricultural systems
(Frontiers Media S.A., 2025-01-06) Mendoza Merino, Jani Elisabet; Tineo Flores, Daniel; Chuquibala Checan, Beimer; Atalaya Marin, Nilton; Taboada Mitma, Victor Hugo; Tafur Culqui, Josué; Tarrillo Julca, Ever; Gómez Fernández, Darwin; Goñas Goñas, Malluri; Reyes Reyes, María Andrea
The increasing use of plastics globally has generated serious environmental and human health problems, particularly in the agricultural sector where low-density polyethylene (LDPE) and other plastics are widely used. Due to its low recycling rate and slow degradation process, LDPE is a major source of pollution. This paper addresses the problem of plastic accumulation in agriculture, focusing on LDPE biodegradation strategies. The studies reviewed include recent data and the methodologies used include state-of-the-art technologies and others that have been used for decades, to monitor and measure the degree of biodegradation that each treatment applied can have, including SEM, GCMS, HPLC, and microscopy. The countries investigating these biodegradation methodologies are identified, and while some countries have been developing them for some years, others have only begun to address this problem in recent years. The use of microorganisms such as bacteria, fungi, algae, and insect larvae that influence its decomposition is highlighted. A workflow is proposed to carry out this type of research. Despite the advances, challenges remain, such as optimizing environmental conditions to accelerate the process and the need for further research that delves into microbial interactions in various environmental contexts.
In vitro biological activity of Beauveria bassiana, Beauveria peruviensis, and Metarhizium sp. against Hypothenemus hampei (Coleoptera: Curculionidae)
(Hindawi, 2023-09-30) Chuquibala Checan, Beimer; Torres de la Cruz, Magdiel; Leiva, Santos; Hernandez Diaz, Elgar; Rubio, Karol; Goñas Goñas, Malluri; Arce Inga, Marielita; Oliva Cruz, Manuel
Coffee (Coffea arabica) is the main commodity in Peru and is the economic support for thousands of small farmers. However, coffee production is affected by the coffee berry borer (Hypothenemus hampei). Currently, H. hampei is the most important pest in whole coffee-growing regions in Peru. This study aimed to evaluate in vitro biological activity of Beauveria bassiana, Beauveria peruviensis, and Metarhizium sp. against Hypothenemus hampei in two trials at different times. Conidia production, Conidia viability, and pathogenicity against H. hampei were evaluated at three concentrations (1 × 105, 1 × 107, and 1 × 109 conidia/mL−1). In addition, lethal times (LT50 and LT90) and lethal concentrations (LC50 and LC90) were calculated. There were significant differences in conidia production ( < 0.001) and conidia viability ( < 0.041). The highest conidia production and conidia viability were reached by B. bassiana and B. peruviensis, respectively. Likewise, there were differences in the pathogenicity of the strains in the two tests carried out (test 1: < 0.0009 and test 2: < 0.0001). The highest mortality occurred in the treatments of B. bassiana 1 × 109 conidia/mL−1, B. bassiana 1 × 107 conidia/mL−1, and B. peruviensis 1 × 109 conidia/mL−1. The treatments with lower LT50 and LT90 were B. bassiana 1 × 109 conidia/mL−1 and B. peruviensis 1 × 109 conidia/mL−1, and the strains with the lowest LC50 and LC90 were B. peruviensis and B. bassiana. The in vitro characteristics shown by B. bassiana and B. peruviensis conditions suggest they should be evaluated in the field to determine the capability of these strains to reduce populations of H. hampei.
Integrating remote sensing and in-situ data to determine climate diversity and variability in cocoa systems in the provinces of Jaén and San Ignacio, Cajamarca (NW Perú)
(Elsevier, 2024-12-08) Atalaya Marin, Nilton; Goña Goñas, Malluri; Tineo Flores, Daniel; Chuquibala Checan, Beimer; Arce Inga, Marielita; Tarrillo Julca, Ever; Alvarez Robledo, Yeltsin Abel; Tafur Culqui, Josué; Cabrera Hoyos, Héctor Antonio; Gómez Fernández, Darwin
La falta de información sobre la distribución geográfica de los sistemas de cacao, junto con la diversidad de especies y la influencia de los factores climáticos en los rendimientos, representa desafíos para la gestión agronómica de estas plantaciones y la implementación de políticas agrícolas más efectivas. Este estudio tuvo como objetivo mapear el área de cacao, la diversidad de especies y su respuesta a la variabilidad climática histórica en las provincias de Jaén y San Ignacio, Cajamarca, Perú. Se procesaron datos de PlanetScope y Sentinel-1 en Google Earth Engine utilizando el algoritmo de clasificación Random Forest. Se identificaron 4,338.6 ha de sistemas de monocultivo y agroforestería de cacao, logrando una precisión temática del 85% y un índice kappa de 0.81. Se determinó que Musa sp. predomina en altitudes bajas, mientras que Inga edulis mostró mayor dominio en altitudes más elevadas. La aplicación de datos climáticos y de rendimiento del cacao permitió calcular el índice de anomalía estandarizada, evidenciando el impacto notable de la precipitación en la producción de cacao, especialmente en 2021 y 2022. Este enfoque integrado proporciona una comprensión más profunda de los sistemas agroforestales de cacao, estableciendo una base sólida para la toma de decisiones destinadas a optimizar el rendimiento mediante prácticas agrícolas adaptadas a condiciones climáticas específicas y fomentando la biodiversidad mediante la incorporación de especies nativas.
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru
(Taylor & Francis Group, 2024-12-23) Arce Inga, Marielita; Atalaya Marin, Nilton; Barboza Castillo, Elgar; Tarrillo Julca, Ever; Chuquibala Checan, Beimer; Tineo Flores, Daniel; Fernandez Zarate, Franklin Hitler; Cruz Luis, Juancarlos Alejandro; Goñas Goñas, Malluri; Gómez Fernández, Darwin
Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. The results revealed that the slope (59.07%) was the main influencing factor, followed by land use and land cover (LULC) (56.36%). The degradation map revealed that 83.48% of the area exhibited moderate degradation, 14.49% low degradation, and 1.56% high degradation. The districts of Pomahuaca and San José de Lourdes demonstrated the largest areas of moderate degradation, accounting for 13.71% and 22.54%, respectively. Bellavista and Huarango exhibited the largest areas of very high degradation, accounting for 0.27% and 0.08%, respectively. The (AHP) method and RS data were employed to assess soil degradation, highlighting the need for sustainable soil restoration and conservation strategies.