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Ríos Tello, Cinthya Lorena - One of the best experts on this subject based on the ideXlab platform.

  • “Aplicación de biochar de Mespilus germanica L. y Mangifera indica L. en suelos contaminados para reducir plomo en la zona de La Huaca - Huaral, 2018”
    'Universidad Cesar Vallejo', 2018
    Co-Authors: Ríos Tello, Cinthya Lorena
    Abstract:

    En la presente investigación aborda la problemática de contaminación de suelo por plomo que sufre el norte chico de Lima, ubicado en el Km 6.5 de la zona de la Huaca – Huaral, de acuerdo al análisis realizado de una caracterización completa, en la ubicación antes mencionada se determinó que el suelo presenta una concentración de 391.0 mg/kg de plomo, sobrepasando Estándar de Calidad Ambiental (ECA) para suelo con fines agrícola un máximo de 70 mg/kg. Ante esta problemática se produce el biochar de Mespilus germanica L. (níspero) y Mangifera indica L. (mango), a base de la poda de árboles frutales, para ello se realizó una quema pirolítica de la materia prima antes mencionada, presentando un 23.1% de lignina y 1.97 ppm de plomo de Mespilus germanica L., y un 20.0% de lignina y 1.02 ppm de plomo de Mangifera indica L., luego se agregó en muestras de 1 kilogramo de suelo contaminado en diferentes proporciones de 5%, 10% y 20% de ambos tipos de biochar, para luego determinar la adsorción de plomo por el biochar, el tratamiento se llevó a cabo en un periodo de 30 y 60 días de aplicación. La investigación se determinó que la aplicación al 10% de biochar de Mangifera indica L. resulto ser más eficiente la adsorción de 358.14 ppm en los 60 días de tratamiento y conteniendo 32.86 ppm de plomo, donde está por debajo del ECA para suelo con fines agrícola

  • “Aplicación de biochar de Mespilus germanica L. y Mangifera indica L. en suelos contaminados para reducir plomo en la zona de La Huaca - Huaral, 2018”
    'Universidad Cesar Vallejo', 2018
    Co-Authors: Ríos Tello, Cinthya Lorena
    Abstract:

    TesisLima NorteEscuela Profesional de Ingeniería AmbientalCalidad y Gestión de Recursos NaturalesEn la presente investigación aborda la problemática de contaminación de suelo por plomo que sufre el norte chico de Lima, ubicado en el Km 6.5 de la zona de la Huaca – Huaral, de acuerdo al análisis realizado de una caracterización completa, en la ubicación antes mencionada se determinó que el suelo presenta una concentración de 391.0 mg/kg de plomo, sobrepasando Estándar de Calidad Ambiental (ECA) para suelo con fines agrícola un máximo de 70 mg/kg. Ante esta problemática se produce el biochar de Mespilus germanica L. (níspero) y Mangifera indica L. (mango), a base de la poda de árboles frutales, para ello se realizó una quema pirolítica de la materia prima antes mencionada, presentando un 23.1% de lignina y 1.97 ppm de plomo de Mespilus germanica L., y un 20.0% de lignina y 1.02 ppm de plomo de Mangifera indica L., luego se agregó en muestras de 1 kilogramo de suelo contaminado en diferentes proporciones de 5%, 10% y 20% de ambos tipos de biochar, para luego determinar la adsorción de plomo por el biochar, el tratamiento se llevó a cabo en un periodo de 30 y 60 días de aplicación. La investigación se determinó que la aplicación al 10% de biochar de Mangifera indica L. resulto ser más eficiente la adsorción de 358.14 ppm en los 60 días de tratamiento y conteniendo 32.86 ppm de plomo, donde está por debajo del ECA para suelo con fines agrícola

Germain Jean-françois - One of the best experts on this subject based on the ideXlab platform.

Vayssières Jean-françois - One of the best experts on this subject based on the ideXlab platform.

Boudon Frédéric - One of the best experts on this subject based on the ideXlab platform.

  • The mango tree - blossom gall midge system: toward in-silico assessment of management practices
    'International Society for Horticultural Science (ISHS)', 2020
    Co-Authors: Grechi Isabelle, Ratnadass Alain, Normand Frédéric, Saint Criq L., Soria Christian, Brustel Lucie, Amouroux Paul, Boudon Frédéric
    Abstract:

    Mango (Mangifera indica L.), a major fruit production in tropical and subtropical regions, is facing many production constraints. Mango yield is irregular across years, fruit quality is heterogeneous at harvest, and mango tree exhibits phenological asynchronisms within and between trees that result in long periods with phenological stages susceptible to pests and diseases. Among them, the mango blossom gall midge (BGM, Procontarinia Mangiferae Felt) is a major pest of mango which can cause significant yield losses by damaging mango inflorescences. A mango-BGM model is currently developed from experimental data. Its final objective will be in silico assessment of BGM management levers (e.g., manipulation of mango phenology to synchronize flowering and soil mulching during flowering, used as physical barrier to break the BGM life-cycle). The mango-BGM model simulates the dynamics of inflorescence and BGM populations of an orchard at a daily time-step during the period of mango flowering. The orchard is structured into three zones (or patches) according to applied mulching treatments. In a first approach, the model is defined at the patch scale and considers: i) age-structured inflorescence population dynamics within each patch, accounting for natural development and BGM-induced mortality of inflorescences; ii) stage-structured BGM population dynamics within each patch, differentiating the effect of mulching treatments on the BGM life-cycle for each patch; and iii) orchard colonization and movements of BGM adults between patches, both driven by inflorescence abundance in each patch. The model was parameterized from existing knowledge and experimental data collected in Reunion Island on 'Cogshall' cultivar. In a further step, virtual experiments will be performed with the model to assess the effects of management levers on mango flowering and subsequent fruit yield, according to exogenous pest pressure. The on-going modeling approach and preliminary results are presented and discussed

  • The mango tree – blossom gall midge system: in-silico assessment of its functioning and management [GEN04.03]
    'Revista Sergipana de Matematica e Educacao Matematica - ReviSeM', 2019
    Co-Authors: Grechi Isabelle, Reyné Bastien, Saint-criq Laurie, Memah M.m., Ratnadass Alain, Normand Frédéric, Boudon Frédéric
    Abstract:

    Mango (Mangifera indica) is a popular fruit in tropical and subtropical regions. However, it is facing several production constraints with agronomical and phytosanitary issues. Among them, the mango blossom gall midge (BGM, Procontarinia Mangiferae) is a major pest of mango tree which can cause significant yield losses by damaging mango inflorescences. Pesticide-free practices aimed at controlling BGM are required. A modelling approach is currently developed for the mango–BGM system to assess how it works and the effect of orchard management options. Two management levers are investigated: manipulation of mango phenology to synchronize flowering, and soil mulching used as a physical barrier to break BGM life-cycle. A mango-BGM process-based model was developed from experimental data collected in a mango orchard over two years. The orchard was divided into three zones according to soil mulching treatments. The model simulates the dynamics of mango inflorescences (resources) and BGM populations within each zone of the orchard at a daily time-step during the periods of mango flowering. It accounts for i) natural development and BGM-induced mortality of inflorescences; ii) BGM life-cycle and emergence of endogenous individuals, as affected by mulching treatments; and iii) orchard colonization by BGM exogenous individuals and movements of BGM individuals between zones. The ability of the model to reproduce real patterns of inflorescences and BGM dynamics was evaluated by comparing the overall model behaviour with field data. Model simulations were performed to investigate the responses of the mango-BGM system to mulching treatments and manipulation of mango flowering dynamics, and to evaluate how sensitive these responses were to model parameters and exogenous pest pressure. The modelling approach and simulation results are presented and discussed. As a perspective, coupling the model with a functional-structural plant model describing mango tree phenology and fruit production will be useful to design sustainable mango production systems

Laplace Damien - One of the best experts on this subject based on the ideXlab platform.