Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-17T18:09:53.905Z Has data issue: false hasContentIssue false

A SEQUENTIAL DECISION PLAN FOR MANAGEMENT OF THE ALFALFA BLOTCH LEAFMINER, AGROMYZA FRONTELLA (DIPTERA: AGROMYZIDAE)1

Published online by Cambridge University Press:  31 May 2012

D. G. Harcourt
Affiliation:
Ottawa Research Station, Agriculture Canada, Ottawa K1A 0C6

Abstract

A sequential decision plan, based on the negative binomial distribution and providing for two infestation classes, has been derived for use in management of the alfalfa blotch leafminer, Agromyza frontella (Rond.), in southern Ontario. It utilizes counts of the eggs in leaflets of alfalfa, and in economic situations will provide growers with sufficient lead time to consider alternative action strategies. An appraisal of the plan by field scouts showed that it rated the infestation status of the leafminer correctly in 48 of 51 cases. Sampling time averaged 25 min per scout per field.

Résumé

Un modèle décisionnel, basé sur la distribution binomiale négative et prévoyant une intervention à deux niveaux de population, est proposé pour la lutte intégrée contre la mineuse virgule de la luzerne, Agromyza frontella (Rond.), dans les luzernières du sud de l'Ontario. Il utilise les décomptes d'oeufs dans les folioles de la luzerne et, dans les cas de ravages anticipés, il donne aux producteurs suffisamment de temps pour envisager d'autres types d'action. Des enquêteurs ont vérifié le modèle en champ et ont démontré qu'on pouvait déterminer avec précision le niveau d'infestation dans 48 cas sur 51. L'échantillonnage a duré en moyenne 25 minutes par enquêteur par champ.

Type
Articles
Copyright
Copyright © Entomological Society of Canada 1983

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

Bellinger, R. G., Dively, G. P. II, and Douglass, L. W.. 1981. Spatial distribution and sequential sampling of Mexican bean beetle defoliation on soybeans. Environ. Ent. 10: 835841.CrossRefGoogle Scholar
Byers, R. A. 1977. Loss in protein yield caused by the alfalfa blotch leafminer. Proc. 15th N.E. Alfalfa Insects Conf. (Univ. of Vermont, Burlington).Google Scholar
Fulkerson, R. S. 1982. Alfalfa blotch leafminer effects on hay quality. Inf. for Industry Personnel. OMAF Leafl. 121/620.Google Scholar
Guibord, M. O. and Letendre, M.. 1979. Alfalfa insects in Quebec, 1979. Proc. 16th N.E. Alfalfa Insects Conf. (Complex Scientifique, Quebec).Google Scholar
Guppy, J. C. 1981. Bionomics of the alfalfa blotch leafminer, Agromyza frontella (Diptera: Agromyzidae), in eastern Ontario. Can. Ent. 113: 593600.CrossRefGoogle Scholar
Harcourt, D. G. 1981. Historical population trends of the alfalfa weevil in eastern Ontario. Proc. 18th N.E. Alfalfa Insects Conf. (Univ. of W. Virginia, Morgantown).Google Scholar
Harcourt, D. G. and Binns, M. R.. 1980. A sampling system for estimating egg and larval populations of Agromyza frontella (Diptera: Agromyzidae) in alfalfa. Can. Ent. 112: 375385.CrossRefGoogle Scholar
Harcourt, D. G. and Guppy, J. C.. 1982. Alfalfa blotch leafminer in Ontario, 1982. Proc. 19th N.E. Alfalfa Insects Conf. (Univ. of Ohio, Worcester).Google Scholar
Hendrickson, R. M. 1981. Biological control of alfalfa blotch leafminer in Delaware. Proc. 18th N.E. Alfalfa Insects Conf. (Univ. of W. Virginia, Morgantown).Google Scholar
MacCollom, G. B., Baumann, G., and Welch, J. G.. 1980. Effect of Agromyza frontella Rondani (Diptera: Agromyzidae) on alfalfa quality and yield. Jl N.Y. ent. Soc. 88: 5657.Google Scholar
MacCollom, G. B., Baumann, G. L., Gilroy, N. L., and Welch, J. G.. 1982. Alfalfa blotch leafminer, Agromyza frontella (Diptera: Agromyzidae), effects on alfalfa in Vermont. Can. Ent. 114: 673680.CrossRefGoogle Scholar
McNeil, J., Daley, P., Drolet, J., Quiring, D., and Therrien, P.. 1982. The current status of research on the alfalfa blotch leafminer presently being carried out at Laval University. Proc. 19th N.E. Alfalfa Insects Conf. (Ohio State Univ., Wooster).Google Scholar
Morris, R. F. 1954. A sequential sampling technique for spruce budworm egg surveys. Can. J. Zool. 32: 302313.CrossRefGoogle Scholar
Oakland, G. B. 1950. An application of sequential analysis to whitefish sampling. Biometrics 6: 5967.CrossRefGoogle Scholar
Onsager, J. A. 1976. The rationale of sequential sampling with emphasis on its use in pest management. U.S. Dep. Agric. Tech. Bull. 1526. 19 pp.Google Scholar
Pieters, E. P. 1978. Bibliography of sequential sampling plans for insects. Bull. ent. Soc. Am. 3: 372374.Google Scholar
Ruesink, W. G. and Kogan, M.. 1975. The quantitative basis of pest management: sampling and measuring. pp. 309–351 in Metcalfe, R. L. and Luckmann, W. H. (Eds.), Introduction to Insect Pest Management. Wiley, New York. 587 pp.Google Scholar
Suzuki, M. and Thompson, L. S.. 1981. Effects of alfalfa blotch leafminer on chemical components of alfalfa. Can. J. Pl. Sci. 61: 595600.CrossRefGoogle Scholar
Wald, A. 1947. Sequential Analysis. Wiley, New York. 212 pp.Google Scholar