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Journal of Agriculture ›› 2011, Vol. 1 ›› Issue (6): 23-28.

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Modeling and studying of oriental fruit fly (Bactrocera dorsalis Hendel) occurrence and dynamic in citrus orchard

  

  • Received:2011-06-10 Revised:2011-06-27 Online:2011-08-15 Published:2011-08-15

Abstract:

In order to explore the regulation of oriental fruit fly invasion, dissemination and damage, and improve monitoring and control techniques, data of the annual population dynamics was collecting by applying specific sex pheromone traps in 35 monitoring points in the citrus orchard all over 19 communities of Linhai county and 2 systemic monitoring points in Fulong citrus orchard, Gucheng, and Linhai fruit market during 2008-2010. The result showed that the temporal and spatial population distribution of oriental fruit fly invasion and dissemination was tower-type in Linhai area, which means the invasion from the center city spreading to the surrounding area. Population dynamics of oriental fruit fly can usually be described by a single peak curve. The first trap of adult insects appears between mid-June and mid-July; with growth inflection point formed in Early-August, and the biggest amount of population appeared between September and October. The main factors affecting the population dynamics are population base, climate and habitat conditions. Oriental fruit fly population base (m6) and the annual trapped population (M) can be described by relational model M=23.8339m6+59.8003(n=6, r=0.9735 **). The relationship between 10days average population density (mn) and 10days average temperature in the latest 3 months (tn-9) is mn=1.9248tn-9-14.88063 (n=72, r=0.5123**). The relation models among trapped population of citrus fruiting period (M), infect rate of plant (R%), infect rate of fruit (P%), amount of larvae per fruit (N) are: R=0.3667M-1.2746 (n=11,r=0.8901**); P=0.0581R+0.3112 (n=11,r=0.9649**); N=0.6438P+0.9610 (n=11,r=0.7000*). These models of oriental fruit fly invasion and dissemination can reflect dynamic changes of oriental fruit fly in citrus orchard and help to make the better forecast and control decision. It is important for improving monitoring and sustainable control.