Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-30T20:33:53.049Z Has data issue: false hasContentIssue false
  • English
  • Français

Spatial distribution of Maruca testulalis larvae on cowpea, and a sequential sampling plan for estimating larval densities

Published online by Cambridge University Press:  19 September 2011

S. Firempong  and
H. Magalit
S. Firempong
Affiliation:
The International Centre of Insect Physiology and Ecology (ICIPE), Mbita Point Field Station, P.O. Box 30, Mbita, Kenya
H. Magalit
Affiliation:
The International Centre of Insect Physiology and Ecology (ICIPE), Mbita Point Field Station, P.O. Box 30, Mbita, Kenya
Get access

Abstract

Larvae of Maruca testulalis were found to be randomly dispersed on flowers of cowpea cultivar Vita 1. Three models based on Taylor's power law, Lloyd's mean crowding and the negative binomial were tested to find out the best fit for developing a sequential sampling plan for this pod borer. Taylor's power law model gave the best fit whilst the negative binomial gave the least. A sequential sampling plan and a table of optimum sample size for use in the field were therefore developed, based on the random distribution.

Résumé

Sur les fleurs de niébé, cultivar Vita 1, les chenilles de Maruca testulalis se répartisent au hasard. Trois modèles basées sur “Taylor's power law”, “Lloyd's mean crowding” et la binomiale négative ont été testées dans le but de dévélopper une méthode d'échantillonage séquentiel de ces foreurs de gousses. “Taylor's power law” s'est montré le plus approprié. C'est pourquoi une méthode d'échantillonage séquentiel et une table de nombre d'échantillonage optimal ont été dévéloppée pour les travaux de tenain.

Keywords

Maruca testulaliscowpeasequential sampling planMaruca testulalisniébéméthode d'échantillonage séquentiel
Type
Research Articles
Information
International Journal of Tropical Insect Science , Volume 11 , Issue 2 , April 1990 , pp. 217 - 222
Copyright
Copyright © ICIPE 1990

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

REFERENCES

Green, R. H. (1970) On fixed precision level sequential sampling. Res. Popul. Ecol. 12, 249–251.CrossRefGoogle Scholar
Iwao, S. (1968) A new regression model for analyzing the aggregation pattern of animal populations. Res. Popul. Ecol. 10, 1–10.Google Scholar
Iwao, S. and Kuno, E. (1968) Use of the regression of mean crowding on mean density for estimating sample size and the transformation of data for the analysis of variance. Res. Popul. Ecol. 10, 210–214.Google Scholar
Jackai, L. E. N. (1981) Relationship between cowpea crop phenology and field infestation by the legume pod borer, Maruca testulalis. Ann. Entomol. Soc. Am. 74, 402–408.Google Scholar
Jackai, L. E. N. and Singh, S. R. (1983) Varietal resistance in the integrated pest management of cowpea pests. Insect Sci. Applic. 4, 199–204.Google Scholar
Karandinos, M. G. (1976) Optimum sample size and comments on some published formulae. Bull. Entomol. Soc. Am. 22, 417–421.Google Scholar
Kuno, E. (1969) A new method of sequential sampling to obtain the population estimates with fixed level of precision. Res. Popul. Ecol. 11, 127–136.Google Scholar
Lloyd, M. (1967) Mean crowding. J. Arum. Ecol. 36, 1–30.Google Scholar
Rachie, K. O. (1985) Introduction. In Cowpea Research, Production and Utilization (Edited by Singh, S. R. and Rachie, K. O.) pp. xxi–xxviii, 460. John Wiley & Sons, Chichester.Google Scholar
Singh, S. R. and Allen, D. R. (1980) Pests, diseases, resistance and protection in cowpeas. In Advances in Legume Science (Edited by Summerfield, R. J. and Bunting, A. H.), pp. 419–443. Her Majesty's Stationery Office, London.Google Scholar
Southwood, T. R. E. (1978) Ecological Methods with Particular Reference to the Study of Insect Populations. 2nd edition, pp. 31–39. Chapman & Hall, London.Google Scholar
Taylor, L. R. (1961) Aggregation, variance and the mean. Nature 189, 732–735.CrossRefGoogle Scholar
Taylor, L. R. (1984) Assessing and interpretating the spatial distributions of insect populations. A. Rev. Entomol. 29, 321–351.CrossRefGoogle Scholar
Taylor, T. A. (1978) Maruca testulalis: An important pest of tropical grain legumes. In Pests of Grain Legumes: Ecology and Control (Edited by Singh, S. R., van Emden, H. F. and Taylor, A.), pp. 193–200. Academic Press, New York.Google Scholar