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2011 | 1-4 |
Tytuł artykułu

An universal tool for the analysis of effectiveness of insecticides

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Języki publikacji
EN
Abstrakty
EN
Insecticides have leading role in reduction of population of arthropods, especially vectors of infectious diseases. Efficacy of insecticides is usually proved on biological material and described after adjusting the values of parameters in some “theoretical” function to the experimental results. In the standard approach, such function is described by probit regression. However, in some cases reaction of the population on pesticide differs from those which could be described by the probit regression curve and the results could not be properly assessed. The aim of this study was to elaboratie a practical tool for evaluating insecticide/acaricide efficacy, more universal than classical probit calculation. Software performing analysis was created using R 2.13.1 statistical software.
Wydawca
-
Czasopismo
Rocznik
Numer
1-4
Opis fizyczny
p.57-62,fig.,ref.
Twórcy
autor
  • Centre for Monitoring and Analyses of Population Health Status, National Institute of Public Health - National Institute of Hygiene, Chocimska 24, 00-791 Warsaw, Poland
autor
autor
Bibliografia
  • [1] Finney D., Probit Analysis, Cambridge University Press, Cambridge, 1971.
  • [2] Bojanowska A., Statystyczna interpretacja biologicznych badań insektycydów, in: Materiały do metodyki biologicznej oceny środków ochrony roślin, IOR, Poznań, 1961, mat. arch. NIZP-PZH (in Polish).
  • [3] Robertson J., Preisler H., Pesticide Bioassays with Arthropods, CRC Press, Boca Rayton, USA, 1992.
  • [4] Throne J., Weaver D., Chiew V., Baker J., Probit analysis of correlated data; multiple observations over time at one concentration, J. Econ. Entom., 1995, 88(5), 1510-1512.
  • [5] Throne J., Weaver D., Chiew V., Baker J., Probit analysis: assessing goodness-of-fit based on backtransformation and residuals, J. Econ. Entom., 1995, 88(5), 1513-1516.
  • [6] Gliniewicz A., Piekarski S., Rabczenko D., Effectiveness of insecticides: a new approach to the analysis of bioassay data, in: Stawonogi. Inwazje i ich ograniczanie, (Buczek A., Błaszak Cz., Eds), Akapit, Lublin, 2009, 215-222 (in Polish).
  • [7[ Rabczenko D., Gliniewicz A., Piekarski S., Possible alternatives to probit regression in the analysis of results of bioassays studies, in: Arthropods Ecological and pathological aspects of parasite - host relationships, (A. Buczek, Cz. Błaszak, Eds), Akapit, Lublin, 2010, 289-294;
  • [8] R Development Core Team: R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, 2010.
  • [9] http://www.r-project.org/.
  • [10] Faraway J.J., Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Chapman & Hall/CRC Texts in Statistical Science, Boca Rayton, 2005.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
bwmeta1.element.agro-ce8e0b27-a6e1-48a1-aae9-1a686b710c7a
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