Hostname: page-component-7bb8b95d7b-lvwk9 Total loading time: 0 Render date: 2024-09-11T14:07:34.936Z Has data issue: false hasContentIssue false
  • English
  • Français

Distribution of the Immature Stages of the Diamondback Moth, Plutella maculipennis (Curt.) (Lepidoptera: Plutellidae), on Cabbage

Published online by Cambridge University Press:  31 May 2012

D. G. Harcourt
D. G. Harcourt
Affiliation:
Entomology Research Institute, Research Branch Canada Department of Agriculture, Ottawa, Ontario
Get access Rights & Permissions [Opens in a new window]

Extract

Many experiments in entomology are evaluated by counts of the number of individuals in each unit of space or time. The original counts may be summarized in a frequency distribution showing the number of units containing 0, 1, 2, 3 … individuals of a given species. If a population is distributed over a number of units at random, the distribution of numbers per unit will approximate a Poisson series, the variance of the population being equal to its mean. Such distributions are rare in nature. Usually there is an excess of unoccupied units and of densely occupied units over Poisson expectation. This departure from randomness is attributable to contagion, where the presence of one insect in a unit increases the probability of others occurring in that unit. It results from the egg-laying habits of adult insects, gregariousness of feeding larvae, etc.

Type
Articles
Information
The Canadian Entomologist , Volume 92 , Issue 7 , July 1960 , pp. 517 - 521
Copyright
Copyright © Entomological Society of Canada 1960

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anscombe, F. J. 1948. The transformation of Poisson, binomial and negative-binomial data. Biometrika. 35: 246–254.CrossRefGoogle Scholar
Anscombe, F. J. 1949. The statistical analysis of insect counts based on the negative binomial distribution. Biometrics 5: 165–173.CrossRefGoogle Scholar
Anscombe, F. J. 1950. Sampling theory of the negative binomial and logarithmic series distribution. Biometrika 37: 358–382.CrossRefGoogle Scholar
Bliss, C. I., and Fisher, R. A.. 1953. Fitting the negative binomial distribution to biological data. Biometrics 9: 176–200.CrossRefGoogle Scholar
Fisher, R. A. 1941. The negative binomial distribution. Ann. Eugenics 11: 182–187.CrossRefGoogle Scholar
Fisher, R. A., Corbett, A. S., and Williams, C. B.. 1943. The relation between the number of species and the number of individuals in a random sample of an animal population. J. Animal Ecol. 12: 42–58.CrossRefGoogle Scholar
Harcourt, D. G. 1956. Biology of the diamondback moth, Plutella maculipennis (Curt.) (Lepidoptera: Plutellidae) in eastern Ontario. I. Distribution, economic history, synonymy, and general descriptions. 37th Rept. Quebec Soc. Prot. Plants, 1955, pp. 155–160.Google Scholar
Harcourt, D. G. 1957. Biology of the diamondback moth, Plutella maculipennis (Curt.) (Lepidoptera: Plutellidae) in eastern Ontario. II. Life-history, behaviour, and host relationships. Canadian Ent. 89: 554–564.CrossRefGoogle Scholar
LeRoux, E. J., and Reimer, C.. 1959. Variation between samples of immature stages, and of mortalities from some factors, of the eye-spotted bud moth, Spilonota ocellana (D. & S.) (Lepidoptera: Olethreutidae), and the pistol casebearer, Coleophora seratella (L.) (Lepidoptera: Coleophoridae), on apple in Quebec. Canadian Ent. 91: 428–449.CrossRefGoogle Scholar
Morris, R. F. 1954. A sequential sampling technique for spruce budworm egg surveys. Canadian J. Zool. 32: 302–313.CrossRefGoogle Scholar
Morris, R. F. 1955. The development of sampling techniques for forest insect defoliators, with particular reference to the spruce budworm. Canadian J. Zool. 33: 225–294.CrossRefGoogle Scholar
Wadley, F. M. 1950. Notes on the form of distribution of insect and plant populations. Ann. Ent. Soc. America 43: 581–586.CrossRefGoogle Scholar
Waters, W. E. 1955. Sequential sampling in forest insect surveys. Forest Sci. 1: 68–79.Google Scholar