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and Integrated Pest Management - part - usaid

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SAMPLING MElIODS FOR PEST SURVEIIIANCE IN RICV 121<br />

compare time expenditure <strong>and</strong> agreement in control decisions, with other<br />

sampling methods.<br />

The sampling plans presented hcre are all based on tie current recommended<br />

economic thresholds in Thail<strong>and</strong>. However, loss assessment studies <strong>and</strong> on-farm<br />

trials to test these thresholds are still ongoing. Uthese activities should lead to<br />

readjustments, it will only be a matter of recalculation to adapt the sequential<br />

sampling plans. For the time being, it seems most essential to prove, in<br />

collaboration with the extensive service, the feasibility of these sampling<br />

methods for farmers.<br />

ACKNOWLEDG ENIENTS<br />

The authors express their sincere gratitude to Dr. Weerawooth Katanyukul,<br />

Dr. Chalerm Sindhusake <strong>and</strong> Mrs. Chintana Tayatum for permission to use their<br />

unpublished data in the development of the stemborer <strong>and</strong> g:Il midge models, to<br />

Mr. Vanich Ya-Klai for assisting in data collection <strong>and</strong> to the Plant Protection<br />

Service Unit, Khon Kaen, for cooperating in the testing of the stemborer<br />

sampling plan.<br />

LITERATURE CITED<br />

Anonymous. 1985. Guidelines for the surveillance system in rice in Thail<strong>and</strong>.<br />

Unpublished (inThai).<br />

Bechinski, E.J., Buntin, G.D., Pedigo, L.P. <strong>and</strong> Thorvilson, H.G. 1983.<br />

Sequential count <strong>and</strong> decision plans for sampling green cloverworm<br />

(Lepidoptera: Noctuidae) larvae in soybean. J. Econ. Entomol. 76:806-812.<br />

Coggin, D.L. <strong>and</strong> Dively, G.P. 1982. Sequential sampling plan for<br />

armyworm<br />

the<br />

in Maryl<strong>and</strong> small grains. Environ. Entomol. 11:169-172.<br />

Heong, K.L. 1983. The uses <strong>and</strong> management of pest surveillance data.<br />

Malays. agric. J. 52 (2):65-89.<br />

Hleuel-Rolf, B. <strong>and</strong> Waibel, 1-1. 1985. Problems in surveillance in rice<br />

cultivation - an example from Thail<strong>and</strong>. Giessener Btrgc z. Entwl.<br />

Forschung, Rcihe I, Bd 12:63-76 (in German).<br />

Ingrain, W.R. <strong>and</strong> Green, S.M. 1972. Sequential sampling for bollworms on<br />

rain-grown cotton in Botswana.<br />

Couon Grow. Rev. 49:265-275.<br />

Iwao, S. 1968. A new regression method for analyzing the aggregation pattern<br />

of animal populations. Res. Popul. Ecol. 10:1-20.<br />

Iwao, S. 1975. A new method of sequential sampling to classify populations<br />

relative to a critical density. Res. Popul. Ecol. 16:281-288.<br />

Lloyd, M. 1967. 'Mean crowding'. J. Anim. Ecol. 36:' -30.<br />

Nishida, T. <strong>and</strong> Torii, T. 1970. Cited in: Heong, K.L. 1983. The uses <strong>and</strong><br />

management of pest surveillance data. Malays. Agric. J. 52(2):65-89.<br />

Onsager, J.A. 1975. The rationale of sequential sampling, with emphasis on<br />

its use in pest management. Techn. Bull. No. 1526 U.S. Dept. Agr.:1-19.<br />

Pieters, E.P. 1978. Bibliography of sequential sampling plans for insects.<br />

ESA-Bulletin 24(3):372-374.

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