Journal of Insect Behavior

, Volume 5, Issue 6, pp 773–781 | Cite as

Statistical analysis of insect preference in two-choice experiments

  • J. Vaillant
  • S. Derridj
Article

Abstract

Many studies of insect behavior in relation to chemicals from different plants require the use of statistical tests for determining whether attraction, repulsion, or neutrality is significant. In this paper, we propose a simple and efficient nonparametric statistical procedure for testing hypotheses about insect preference in two-choice experiments with individual insects. Three criteria are provided in order to detect the following alternatives to neutrality: (i) general attraction (or repulsion) in a sample population, (ii) strong variability of the individual responses, and (iii) slight but similar behavioral effects. Illustrations are given from two-choice experiments concerning the European corn borer (Ostrinia nubilalisHbn.) female's oviposition behavior.

Key words

statistical tests Monte Carlo behavior choice oviposition preference Ostrinianubilalis 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barnard, G. A. (1963). Discussion of Professor Bartlett's paper.J. R. Stat. Soc. B25: 435–441.Google Scholar
  2. Besag, J. E., and Diggle, P. J. (1977). Simple Monte Carlo tests for spatial pattern.J. R. Star. Soc.B 26: 327–333.Google Scholar
  3. Blaney, W. M., and Simmonds, M. S. (1988). Food selection in adults and larvae of three species of Lepidoptera: A behavourial and electrophysiological study.Entomol. Exp. Appl. 49: 111–121.Google Scholar
  4. Conover, W. J. (1971).Practical Nonparametric Statistics, Wiley, New York.Google Scholar
  5. Diggle, P. J. (1983).Statistical Analysis of Spatial Point Patterns, Academic Press, London.Google Scholar
  6. Feeny, P., Rosenberry, L., and Carter, M. (1983). Oviposition behaviour in butterflies. In Ahmad, S. (ed.),Herbivorous Insects, Academic Press, London, pp. 27–76.Google Scholar
  7. Gibbons, J. D. (1971).Nonparametric Statistical Inference, McGraw-Hill, New York.Google Scholar
  8. Hall, P., and Terrington, D. M. (1989). The effect of simulation on level accuracy and power of Monte Carlo tests.J. R. Stat. Soc. B 51: 459–467.Google Scholar
  9. Hope, A. C. A. (1968). A simplified Monte Carlo test procedure.J. R. Stat. Soc. B 30: 582–598.Google Scholar
  10. Jöckel, K.-H. (1986). Finite sample properties and asymptotic efficiency of Monte Carlo tests.Ann. Stat. 14: 336–347.Google Scholar
  11. Lehmann, E. L. (1975).Nonparametrics: Statistical Methods Based on Ranks, McGraw-Hill, New York.Google Scholar
  12. Ma, W. C., and Schoonhoven, L. M. (1973). Tarsal contact chemosensory hairs of the large white butterflyPieris brassicae and their possible role in oviposition behaviour.Entomol. Exp. Appl. 16: 343–357.Google Scholar
  13. Marriot, F. H. C. (1979). Monte Carlo tests: How many simulations?Appl. Stat. 28: 75–77.Google Scholar
  14. Mitchell, B. K., and Seabrook, W. D. (1974). Electrophysiological investigations on tarsal chemoreceptors of the spruce budworm,Choristoneura fumiferana (Lepidoptera).J. Insect Physiol. 20: 1209–1218.Google Scholar
  15. Mohammad, A. B., and AliNiazee, M. T. (1991). Influence of proteins hydrolysate baits on oviposition in the apple Maggotrhogoletis Pomonella. Entomol. Exp. Appl.59: 151–161.Google Scholar
  16. Nishida, R., Ohsugi, T., Kokubo, S., and Fukami, H. (1987). Oviposition stimulants of aCitrus-feeding swallowtail butterfly,Papilio xuthus L.Experientia 43: 342–344.Google Scholar
  17. Städler, E. (1974). Host plant stimuli affecting oviposition behaviour of the eastern spruce budworm.Entomol. Exp. Appl 17: 176–188.Google Scholar
  18. Städler, E., and Seabrook, W. D. (1975). Chemoreceptors on the proboscis of the female eastern spruce budworm: Electrophysiological study.Entotnol. Exp. Appl. 18: 153–160.Google Scholar
  19. Vaillant, J., and Badenhausser, I. (1989). Etude de répartition d'individus sur transect ou grille régulière par tests de Monte-Carlo.Biom. Praxim. 29: 153–172.Google Scholar
  20. Vaillant, J., and Hawlitsky, N. (1990). Statistical analysis of occupancy rates for overdispersed populations by redistribution procedures. Application to the European corn borer egg masses distribution.Res. Popul. Ecol 32: 289–301.Google Scholar

Copyright information

© Plenum Publishing Corporation 1992

Authors and Affiliations

  • J. Vaillant
    • 1
  • S. Derridj
    • 2
  1. 1.UFR Sciences exactes et naturellesUniversité des Antilles-GuyanePointe-à-pitre Cedex
  2. 2.Laboratory of Zoology, INRA-VersaillesVersailles CedexFrance

Personalised recommendations