994 resultados para sampling plan


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Helicoverpa spp. is the primary pest in the Australian fresh-market tomato industry. We describe the spatial distribution of Helicoverpa spp. eggs on fresh-market tomato crops in the Goulburn Valley region of Victoria, and present a sequential sampling plan for monitoring population densities. The distribution of Helicoverpa spp. eggs was highly contagious, as indicated by a Taylor's b-value of 1.59. This high level of contagion meant that relatively large sample sizes would need to be collected to obtain an estimate of population density. High-precision sampling plans generally necessitated impractical sample sizes, and thus the plan we present is a relatively low-precision level plan (SE/mean = 0.3). Nonetheless, this level of precision is considered adequate for most agronomic scenarios. The plan was validated using a statistical re-sampling approach. The level of precision achieved was generally close to the nominal level. Likewise, the number of samples collected generally showed little departure from the theoretically calculated minimum sample size.

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The objective of the present study was to develop a sequential sampling plan for the decision-making process to control Tenuipalpus heveae Baker (Acari: Tenuipalpidae), an important pest of the rubber tree crop. The experimental area was represented by 1,000 plants of the RRIM 600 clone divided in 100 plots with 10 plants each. Leaves were collected and the number of mites determined under laboratory conditions. The sequential sampling plan was developed in accordance with the Sequential Test Likelihood Ratio. The value 0.10 was pre-established for α and β representing type I and type II errors, respectively. The level of control adopted was six mites per 12 cm2. The operating characteristic curve and the curve of maximum expected sample were determined. Two lines were generated: the upper one, when the condition for chemical control is recommended (S1 = 23.3080 + 2.1972); and the lower, when chemical control is not recommended (S0 = -23.3080 + 2.1972). Sample size for the decision-making process to control T. heveae requires 6 to 18 plants. © 2013 Sociedade Entomológica do Brasil.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Mode of access: Internet.

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Data on seasonal population abundance of Bemisia tabaci biotype B (silverleaf whitefly (SLW)) in Australian cotton fields collected over four consecutive growing seasons (2002/2003-2005/2006) were used to develop and validate a multiple-threshold-based management and sampling plan. Non-linear growth trajectories estimated from the field sampling data were used as benchmarks to classify adult SLW field populations into six density-based management zones with associated control recommendations in the context of peak flowering and open boll crop growth stages. Control options based on application of insect growth regulators (IGRs) are recommended for high-density populations (>2 adults/leaf) whereas conventional (non-IGR) products are recommended for the control of low to moderate population densities. A computerised re-sampling program was used to develop and test a binomial sampling plan. Binomial models with thresholds of T=1, 2 and 3 adults/leaf were tested using the field abundance data. A binomial plan based on a tally threshold of T=2 adults/leaf and a minimum sample of 20 leaves at nodes 3, 4 or 5 below the terminal is recommended as the most parsimonious and practical sampling protocol for Australian cotton fields. A decision support guide with management zone boundaries expressed as binomial counts and control options appropriate for various SLW density situations is presented. Appropriate use of chemical insecticides and tactics for successful field control of whiteflies are discussed.

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An outline is given of a sampling plan for prepacked fish products based on the net weight of the container, which may be used to make the inspection of fish and fish products easier and more effective.

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Es necesario analizar la poblaci??n bajo el enfoque de los modelos de superpoblaci??n, esto es asigando a la poblaci??n marco un determinado grado de aleatoriedad e introduciendo el mismo en el modelo de selecci??n de m??todos. Investigadores o estudiantes, no expertos en muestreo, pueden utilizar POSDEM para evaluar los m??todos de muestreo sistem??tico o con probabilidades proporcionales al tama??o que mejor se adapten al marco de una investigaci??n determinada. Este software se puede usar en proyectos de investigaci??n, con fines educativos y en el trabajo de campo de encuestas por muestreo. Incorpora un programa de ordenador un conocimiento experto sobre una t??cnica estad??stica que en muchas ocasiones se encuentra lejos del ??rea de inter??s del investigador, pero que resulta crucial para que sus interferencias sean precisas.

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Researchers typically tackle questions by constructing powerful, highlyreplicated sampling protocols or experimental designs. Such approaches often demand large samples sizes and are usually only conducted on a once-off basis. In contrast, many industries need to continually monitor phenomena such as equipment reliability, water quality, or the abundance of a pest. In such instances, costs and time inherent in sampling preclude the use of highlyintensive methods. Ideally, one wants to collect the absolute minimum number of samples needed to make an appropriate decision. Sequential sampling, wherein the sample size is a function of the results of the sampling process itself, offers a practicable solution. But smaller sample sizes equate to less knowledge about the population, and thus an increased risk of making an incorrect management decision. There are various statistical techniques to account for and measure risk in sequential sampling plans. We illustrate these methods and assess them using examples relating to the management of arthropod pests in commercial crops, but they can be applied to any situation where sequential sampling is used.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Trajectory design for Autonomous Underwater Vehicles (AUVs) is of great importance to the oceanographic research community. Intelligent planning is required to maneuver a vehicle to high-valued locations for data collection. We consider the use of ocean model predictions to determine the locations to be visited by an AUV, which then provides near-real time, in situ measurements back to the model to increase the skill of future predictions. The motion planning problem of steering the vehicle between the computed waypoints is not considered here. Our focus is on the algorithm to determine relevant points of interest for a chosen oceanographic feature. This represents a first approach to an end to end autonomous prediction and tasking system for aquatic, mobile sensor networks. We design a sampling plan and present experimental results with AUV retasking in the Southern California Bight (SCB) off the coast of Los Angeles.

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Details are given of a standard format used by the Pond Dynamics/Aquaculture Collaborative Research Support Program of the US Agency for International Development for the communication of experimental ideas. An example is given of the "Preliminary Proposal Format," which contains a list of information categories or headings as follows: Title; Objectives: Significance; Experimental design; Pond facilities; Stocking rate; Other inputs; Sampling plan; Hypotheses; Statistical methods; Duration; Water management; and Schedule.

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A constante exploração da água de forma descontrolada tem comprometido a sua qualidade e quantidade para os seus diversos fins, dentre os quais se destaca o uso recreativo por contato primário. O presente estudo levanta um problema frequente no litoral brasileiro: cidades que recebem um elevado número de visitantes em determinados períodos do ano e sofrem crises ambientais por conta da mudança drástica no volume populacional, já que a população flutuante dificulta a gestão de insumos públicos como o abastecimento de água potável, os serviços de saúde, o descarte de lixo e o tratamento de esgoto, sendo muitas vezes responsável por uma poluição local. Nesse sentido, utilizou-se como modelo o balneário de Muriqui, distrito de Mangaratiba, no Estado do Rio de Janeiro, e objetivou-se diagnosticar a poluição hídrica e a balneabilidade da praia. A metodologia empregada para o desenvolvimento desta pesquisa foi baseada em pesquisas bibliográficas, por trabalhos técnico-científicos publicados, livros e instrumentos legais, e em um plano de amostragem. . Foram também realizadas visitas às secretarias municipais para recolher dados atuais sobre o município. Por fim, para confrontar os resultados analíticos obtidos em campo, realizou-se uma investigação da série histórica da pluviosidade das estações pluviométricas mais próximas ao distrito de Muriqui. Para verificar a qualidade da água da praia e dos dois rios que desembocam nela, foi realizado um plano de amostragem com coletas quinzenais, às segundas-feiras pela manhã, entre setembro de 2012 e agosto de 2013, totalizando 25 campanhas. Em cada campanha foram coletados cinco pontos de amostragem: três na praia de Muriqui, um no Rio da Prata e outro no Rio Catumbi. Assim, realizou-se o monitoramento de parâmetros físicos, químicos e biológicos, com o intuito de compará-los aos valores permitidos pelas legislações vigentes e correlacioná-los entre si para verificar o nível de degradação dos corpos hídricos da região. Constatou-se com o estudo que o ponto no Rio da Prata é o mais deteriorado e impactado pela ação antrópica, já que estava localizado mais próximo à sua foz. A avaliação da qualidade da água da praia indicou que o local apresentava condições excelentes de balneabilidade em 96% do período monitorado, apresentando apenas um episódio impróprio para banho. De modo geral, verificou-se com a pesquisa que alguns parâmetros demonstraram episódios característicos de poluição difusa por esgoto sanitário, aparentemente em estado inicial de degradação.

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Gill-netting and rotenoning have been used for assessing and monitoring fish stock abundance in Volta Lake. The lake and the main gear types used on it have been described. Before a gill-net sampling plan was set up, a preliminary survey was undertaken which largely determined the final form of the plan. An investigation as to whether or not the lake was being overfished concluded that it was being underfished. Commercial and experimental catch data analyses disclosed that the adults of the small species were being little utilized. Commercial sized species were also not being harvested according to their apparent proportion in the population. Production is presently fluctuating between approximately 37,000 and 40,000 tonnes. A high correlation between commercial and experimental catch was realized. Developments which have followed in the wake of stock assessment and monitoring studies include: introduction of monofilament nylon net, development of a special scoop net to permit mass harvest of clupeids after they have been attracted to light, and the design of a larger canoe which would help to extend the fishery into open water. New regulation and management policies will have to be formulated in the light of new findings before a rational exploitation of all the species can be achieved.