Systems approaches in epidemiology and plant disease management

Rabbinge, R.; Rossing, W.A.H.; Werf, Wopke Van der

doi:10.1007/bf03041406

Cited by 14 publications

(10 citation statements)

References 14 publications

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“…Esta perspectiva es empleada en análisis y planificación de operaciones complejas, desde el transporte y la distribución de mercancías hasta la gestión de operaciones con el fin de lograr un objetivo específico para los clientes (Swamidass 2000) . Este enfoque es aplicado a varios problemas de base biológica, incluido el manejo de plagas (Rabbinge et al 1993;Conway 1984) . En la perspectiva de operaciones logísticas, el proceso de toma de decisiones puede considerarse un sistema en sí mismo que incluye varios procesos dinámicos que requieren organización y gestión en diferentes escalas espacio-temporales u horizontes de planificación (planificación jerárquica).…”

Section: Construcción Del Modelo Conceptualunclassified

“…Las estrategias utilizadas para el manejo del picudo del algodonero incluyen una serie de intervenciones de campo, operaciones técnicas y decisiones relacionadas ejecutadas en dos escalas espacio-temporal, regional-nacional y a nivel de campo. Para una mejor comprensión y jerarquización de estos elementos, se incorporó el concepto de horizontes de planificación en el proceso de toma de decisiones con las siguientes escalas de tiempo: desarrollo de políticas, estratégico, táctico y operativo (Tabla 4) (Rabbinge et al 1993;Conway 1984) . El nivel regional y nacional corresponde a las decisiones orientadas a la ejecución de las políticas a cargo de las instituciones de los gobiernos nacionales o federales.…”

Section: Subsistema Técnico-decisionalunclassified

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Estrategias de control del picudo del algodón ( Anthonomus grandis Boheman) en el Caribe Colombiano: Un modelo conceptual.

et al. 2019

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The cotton weevil Anthonomus grandis Boheman (Coleoptera: Curculionidae) is the main cotton pest [Gossypium hirsutum L. (Malvaceae)] in the producing regions of the Americas. In the Colombian Caribbean it is the main economic constraint for cotton production. Population explosions of this pest are frequent in the Caribbean, resulting in the application of up to 15 insecticides to control the weevil during the cotton season and the prohibition of planting the crop in some localities. Most of the information for the management of this pest corresponds to multiple sources of gray literature (technical reports) and non-formalized knowledge developed by farmers and technical assistants. This study collects this information using a standardized approach to participatory construction of conceptual models for agricultural systems. The conceptual model developed in this study integrates the non-formalized local knowledge obtained from knowledge experts and technical reports with scientific disciplinary knowledge related to cotton weevil management strategies. The collected data was evaluated and organized under a systems approach that facilitates the future development of quantitative models and allows the visualization of knowledge gaps. The system described by the model includes two subsystems: biological and technical. This last subsystem describes the management of the palm weevil on two spatio-temporal scales: the field scale management (in the field) carried out during the cotton season and the regional strategy (part of the national program) of suppression of the cotton palm weevil directed mainly at control insect populations that survive between cotton seasons. The construction of this conceptual model allowed visualizing the management strategies currently used in weevil control, formulating hypotheses about the effectiveness of management strategies, and providing guidelines for future research. This conceptual model is a baseline for the development of quantitative models and simulations that describe the management of the cotton weevil in the Caribbean and for the effective formulation of an integrated management program for this pest in the region.

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Section: Construcción Del Modelo Conceptualunclassified

Section: Subsistema Técnico-decisionalunclassified

Estrategias de control del picudo del algodón ( Anthonomus grandis Boheman) en el Caribe Colombiano: Un modelo conceptual.

et al. 2019

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“…The relationship between, for example, the number of nematodes, aphids or fungi spores and the expected yield level of many crops and their varieties is known (see, for example, Collins et al, 2002). Sometimes this knowledge is based on empirical relationships, sometimes on the mechanism of the cropdisease relationship, such as that between disease pressure and crop productivity (Rabbinge et al, 1993). Usually, monitoring (counting) takes place, followed by reference to expected population dynamics inferred from weather data (especially temperature and humidity).…”

Section: The Cpe Approachmentioning

confidence: 99%

A Crop Production Ecology (CPE) Approach to Sustainable Production of Biomass for Food, Feed and Fuel

Haverkort¹,

Bindraban²,

Conijn³

et al. 2009

Outlook Agric

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With the rapid increase in demand for agricultural products for food, feed and fuel, concerns are growing about sustainability issues. Can agricultural production meet the needs of increasing numbers of people consuming more animal products and using a larger share of crops as fuel for transport, electricity and heat, while still sustaining the natural resource base? In addition to economic models and learning from statistics and trends, there is a perceived need for decision support tools at global, field and plant levels and for the certification of best practices based on crop production ecology (CPE). This paper illustrates the need for and availability of a generic approach to sustainability principles, criteria, indicators and norms to ensure maximum efficiency in the use of resources such as land, water, chemicals and energy in crop biomass production at various levels of scale. The authors propose a method based on a transportable CPE approach, covering ranges of commodities and environments, to address choices in agricultural production: which crop to promote where, how it should be grown to optimize the efficient use of resources, how to certify the best practices and which crop properties need genetic improvement to make the best use of scarce resources in adverse conditions.

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“…A review of examples from the Wageningen modeling group for temperate crops was given by Rabbinge et al (1993Rabbinge et al ( , 1994. Here we will limit our examples to rice.…”

Section: For Insects and Diseases In Soybeanmentioning

confidence: 99%