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Presence/absence sequential plans for pest management decision-making, for arthropods of wet rice ecosystem in Malaysia


Citation

Syed Hassan, Syed Tajuddin and M. M., Rashid (1997) Presence/absence sequential plans for pest management decision-making, for arthropods of wet rice ecosystem in Malaysia. Pertanika Journal of Tropical Agricultural Science, 20 (1). pp. 51-63. ISSN 0126-6128

Abstract

Presence-absence sequential sampling plans are presented for 11 arthropod categories to assist in management of their populations in the multipest-infested rice crop in Malaysia. Data from visual inspection of204 samples, with 40 and 100 hills per sample, were used to develop the plans. Action threshold for each of the 11 (5 pests, 6 predators) arthropod categories was obtained through a fourth-order polynomial regression of proportion of infestation against mean population densities, at the point of saturation of infestation. The pest species are: Nephotettix spp., Nilaparvata lugens, Recilia dorsalis, Sogatella furcifera and Cnapholocrocis medinalis (Pyralidae), and the predators: Cyrtorhinus lividipennis, Anatrichus pygmaeus (Diptera), spiders, Odonata, Paederus fuscipes and Casnoidea spp. Risk levels of Type I (a) and Type II error ({3) were prefixed at 0.3, since lower levels entail taking a larger number of samples. The sequential plans were then generated using the SEQUAN computer program of Talerico and Chapman (1970). During field operation on not more than 50 ha at a time, it is suggested that at least ten hills should be examined visually before recommending any pest management action. Simultaneous sampling of pests and predators enables status of predators' populations to be considered before recommending any decision.


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Additional Metadata

Item Type: Article
Divisions: Universiti Putra Malaysia
Publisher: Universiti Putra Malaysia Press
Keywords: Insecta; Rice; Pest management; Sequential sampling; Malaysia
Depositing User: Nasirah Abu Samah
Date Deposited: 30 Nov 2009 08:29
Last Modified: 07 Sep 2015 02:39
URI: http://psasir.upm.edu.my/id/eprint/3640
Statistic Details: View Download Statistic

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