Examinando por Autor "Arce Inga, Marielita"

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Effect of Endophytic Trichoderma sp. Strains on the Agronomic Characteristics of Ecotypes of Theobroma cacao L. under Nursery Conditions in Peru
(Hindawi, 2022-05-24) Chavez Jalk, Antony; Leiva, Santos; Bobadilla Rivera, Leidy Gheraldine; Vigo Mestanza, Carmen Natividad; Arce Inga, Marielita; Oliva Cruz, Manuel
Peru is one of the main producers of fine aroma native cacao, expanding its areas considerably in recent years, which makes it necessary to seek adequate management alternatives to obtain advantageous yields. The present work had the objective of testing the influence of Trichoderma sp. endophytic strains on the agronomic characteristics of ecotypes of Theobroma cacao L. under nursery conditions, Cajaruro district, Utcubamba, Amazonas, Peru. The Trichoderma strains evaluated were Trichoderma breve; T. harzianum; T. longibrachatum; T. afrojarzianum, and Trichoderma sp. which were inoculated on cocoa seedlings of ecotypes CCN51; TCHS565; and nativo fino de aroma. The variables evaluated were chlorophyll indices (at 30, 45, 60, and 70 days after planting), percentage of endophyte colonization, root hair development, trichomes on stems, and agronomic characteristics (plant height, number of leaves, stem diameter, root dry and fresh weight, root size, etc.). The results showed that the application of Trichoderma breve in the fine aroma native cocoa ecotype (T12) presented the highest chlorophyll index at 75 days after planting (DAP) with 43.53 +- 1.59 and 49.77 +- 2.42 for the apex and leaf base, respectively, with a percentage of colonization in the root hairs of 66.67%, and with better characteristics for the number of leaves with 12.00 +- 3.46. T12 showed positive influences for plant height, leaf number, and chlorophyll index. Treatments based on T. harzianum + CCN51 (T5) and T. afroharzianum + TSHS565 (T6) showed 100% colonization of the root hairs and trichomes on stems. Endophytic Trichoderma fungi are an alternative for organic production of fine aroma cocoa in Peru, improving the agronomic characteristics of the crop.
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.