Efficient Occurrence Monitoring by Yellow Sticky Traps for Major Flying Pests in Strawberry Greenhouses
2017
Yang, C.J., Jeju Agricultural Research and Extension Services, Seogwipo, Republic of Korea | Song, J.H., Jeju Agricultural Research and Extension Services, Seogwipo, Republic of Korea | Yang, Y.T., Jeju Agricultural Research and Extension Services, Seogwipo, Republic of Korea | Kim, H.J., Jeju Agricultural Research and Extension Services, Seogwipo, Republic of Korea | Song, M.A., Jeju Agricultural Research and Extension Services, Seogwipo, Republic of Korea | Jwa, C.S., Jeju Agricultural Research and Extension Services, Seogwipo, Republic of Korea
Sampling plan using yellow sticky traps for the major strawberry flying pests - western flower thrips Frankliniella occidentalis adults, cotton aphid Aphis gossypii alate and greenhouse whitefly Trialeurodes vaporarium adults was developed to determine the initial occurrence time. The analyzed trap data were obtained from three commercial strawberry greenhouses for the whole growing season (September to May of the following year) during 2013 to 2017 in Jeju province. Three flying pests showed the aggregated distribution patterns resulted from commonly used regression techniques - Taylor's power law and Iwao's patchiness regression. Taylor's power law was better description of mean-variance relationship of the western flower thrips and the cotton aphid than Iwao's patchiness regression, otherwise greenhouse whitefly was better described by Iwao's patchiness regression. There were highly significant correlated among mean density per trap, maximum density and proportion of traps with more than 10 individuals. To estimate 4.0 heads of mean density per trap, the minimum number of traps were required 13 traps for western flower thrips, 11 traps for cotton aphid and 10 traps for greenhouse whitefly. The sequential sampling plans at the fixed precision level 0.25 were developed using parameters of Taylor's power law for western flower thrips and cotton aphid, and of Iwao's patchiness regression for greenhouse whitefly.
Mostrar más [+] Menos [-]Palabras clave de AGROVOC
Información bibliográfica
Este registro bibliográfico ha sido proporcionado por Korea Agricultural Science Digital Library