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http://dx.doi.org/10.5656/KSAE.2019.10.0.041

Modelling The Population Dynamics of Laodelphax striatellus Fallén on Rice  

Kwon, Deok Ho (Department of Vegetable Crops, Korea National College of Agriculture and Fisheries)
Jeong, In-Hong (Crop protection Division, Department of Agro-food Safety and Crop Protection, National Institute of Agricultural Sciences, RDA)
Seo, Bo Yoon (Crop protection Division, Department of Agro-food Safety and Crop Protection, National Institute of Agricultural Sciences, RDA)
Kim, Hey-Kyung (Department of Industrial Entomology, Korea National College of Agriculture and Fisheries)
Park, Chang-Gyu (Department of Industrial Entomology, Korea National College of Agriculture and Fisheries)
Publication Information
Korean journal of applied entomology / v.58, no.4, 2019 , pp. 347-354 More about this Journal
Abstract
Temperature-dependent traits of Laodelphax striatellus, rice stripe virus vector, were investigated at 10 constant temperatures (12.5, 15.0, 17.5, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, and 35.0 ± 1℃) under a fixed photoperiod (14/10-hr light/dark cycle). Unit functions for the oviposition model were estimated and implemented into a population dynamics model using DYMEX. The longevity of L. striatellus adults decreased with increasing temperature (56.0 days at 15.0℃ and 17.7 days at 35.0℃). The highest total fecundity (515.9 eggs/female) was observed at 22.5℃, while the lowest (18.6 eggs/female) was observed at 35.0℃. Adult developmental rates, temperature-dependent fecundity, age-specific mortality rates, and age-specific cumulative oviposition rates were estimated. All unit equations described adult performances of L. striatellus accurately (r2 =0.94~0.97). After inoculating adults, the constructed model was tested under pot and field conditions using the rice-plant hopper system. The model output and observed data were similar up to 30 days after inoculation; however, there were large discrepancies between observed and estimated population density after 30 days, especially for 1st and 2nd instar nymph densities. Model estimates were one or two nymphal stages faster than was observed. Further refinement of the model created in this study could provide realistic forecasting of this important rice pest.
Keywords
Laodelphax striatellus; Rice; Temperature; Population dynamics model; Simulation;
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Times Cited By KSCI : 3  (Citation Analysis)
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