28
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Drosophila suzukii population response to environment and management strategies

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Drosophila suzukii causes economic damage to berry and stone fruit worldwide. Laboratory-generated datasets were standardized and combined on the basis of degree days (DD), using Gompertz and Cauchy curves for survival and reproduction. Eggs transitioned to larvae at 20.3 DD; larvae to pupae at 118.1 DD; and pupae to adults at 200 DD. All adults are expected to have died at 610 DD. Oviposition initiates at 210 DD and gradually increases to a maximum of 15 eggs per DD at 410 DD and subsequently decreases to zero at 610 DD. These data were used as the basis for a DD cohort-level population model. Laboratory survival under extreme temperatures when DD did not accumulate was described by a Gompertz curve based on calendar days. We determined that the initiation of the reproductive period of late dormant field-collected female D. suzukii ranged from 50 to 800 DD from January 1. This suggests that D. suzukii females can reproduce early in the season and are probably limited by availability of early host plants. Finally, we used the DD population model to examine hypothetical stage-specific mortality effects of IPM practices from insecticides and parasitoids at the field level. We found that adulticides applied during the early season will result in the largest comparative population decrease. It is clear from model outputs that parasitism levels comparable to those found in field studies may have a limited effect on population growth. Novel parasitoid guilds could therefore be improved and would be valuable for IPM of D. suzukii.

          Related collections

          Most cited references60

          • Record: found
          • Abstract: not found
          • Article: not found

          Drosophila suzukii (Diptera: Drosophilidae): Invasive Pest of Ripening Soft Fruit Expanding its Geographic Range and Damage Potential

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The susceptibility of small fruits and cherries to the spotted-wing drosophila, Drosophila suzukii.

            The spotted-wing drosophila, Drosophila suzukii Matsumura, is native to Asia and was first detected in the North American mainland and Europe in 2008-2010. Drosophila suzukii is a serious economic pest to stone and small fruits because the female lays eggs within ripening fruit on a plant before harvest, which can lead to crop loss. The aim of this study was to evaluate the susceptibility of blackberries, blueberries, cherries, grapes, raspberries and strawberries to D. suzukii among various ripeness stages and cultivars. In 26 no-choice and choice replicated laboratory cage tests on ripeness stages, fruits were generally susceptible to D. suzukii once fruits started to color. Few D. suzukii developed on green fruit, wine grapes or overripe blueberries. In seven cultivar tests, D. suzukii preferences ranged from no differences to fourfold differences for specific cultivars of blackberries, blueberries, raspberries and wine grapes. As brix levels increased, more eggs were laid or more D. suzukii developed on blackberries, blueberries, cherries, raspberries and strawberries. In a choice test of various fruit types, strawberries, raspberries, blackberries, cherries and blueberries were more susceptible to D. suzukii than green table grapes ('Thompson'). The results suggest that fruits may become susceptible to D. suzukii as they start to turn color, and that specific varieties of grapes and overripe blueberries have low susceptibility to D. suzukii. Copyright © 2011 Society of Chemical Industry.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A simulation model of the epidemiology of urban dengue fever: literature analysis, model development, preliminary validation, and samples of simulation results.

              We have developed a pair of stochastic simulation models that describe the daily dynamics of dengue virus transmission in the urban environment. Our goal has been to construct comprehensive models that take into account the majority of factors known to influence dengue epidemiology. The models have an orientation toward site-specific data and are designed to be used by operational programs as well as researchers. The first model, the container-inhabiting mosquito simulation model (CIMSiM), a weather-driven dynamic life-table model of container-inhabiting mosquitoes such as Aedes aegypti, provides inputs to the tranmission model, the dengue simulation model (DENSiM); a description and validation of the entomology model was published previously. The basis of the transmission model is the simulation of a human population growing in response to country- and age-specific birth and death rates. An accounting of individual serologies is maintained by type of dengue virus, reflecting infection and birth to seropositive mothers. Daily estimates of adult mosquito survival, gonotrophic development, and the weight and number of emerging females from the CIMSiM are used to create the biting mosquito population in the DENSiM. The survival and emergence values determine the size of the population while the rate of gonotrophic development and female weight estimates influence biting frequency. Temperature and titer of virus in the human influences the extrinsic incubation period; titer may also influence the probability of transfer of virus from human to mosquito. The infection model within the DENSiM accounts for the development of virus within individuals and its passage between both populations. As in the case of the CIMSiM, the specific values used for any particular phenomenon are on menus where they can be readily changed. It is possible to simulate concurrent epidemics involving different serotypes. To provide a modicum of validation and to demonstrate the parameterization process for a specific location, we compare simulation results with reports on the nature of epidemics and seroprevalence of antibody in Honduras in low-lying coastal urbanizations and Tegucigalpa following the initial introduction of dengue-1 in 1978 into Central America. We conclude with some additional examples of simulation results to give an indication of the types of questions that can be investigated with the models.
                Bookmark

                Author and article information

                Contributors
                (541) 740 4149 , vaughn.walton@oregonstate.edu
                Journal
                J Pest Sci (2004)
                J Pest Sci (2004)
                Journal of Pest Science
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1612-4758
                1612-4766
                1 April 2016
                1 April 2016
                2016
                : 89
                : 653-665
                Affiliations
                [ ]Department of Horticulture, Oregon State University, 4017 Ag and Life Sciences Bldg., Corvallis, OR 97331 USA
                [ ]Research and Innovation Centre and Technology Transfer Centre, Fondazione Edmund Mach, Via E. Mach, 1, 38010 San Michele all’Adige, TN Italy
                [ ]Department of Agriculture, Food and Environment, University of Catania, Via Santa Sofia, 100, 95123 Catania, Italy
                [ ]Department of Entomology and Nematology, University of California, Davis, CA 95616 USA
                [ ]Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720-3114 USA
                [ ]Department of Entomology, Mount Vernon Northwestern Washington Research and Extension Center, Washington State University, Mount Vernon, WA 98273-4768 USA
                [ ]Department of Entomology, University of Maryland, 4112 Plant Sciences Building, College Park, MD USA
                [ ]Department of Entomology, Michigan State University, East Lansing, MI 48824 USA
                [ ]USDA-ARS Horticultural Crops Research Unit, 3420 NW Orchard Ave., Corvallis, OR 97330 USA
                [ ]Mid-Columbia Agricultural Research and Extension Center, Oregon State University, Hood River, OR 97031 USA
                [ ]Department of Horticulture, Oregon State University, 4105C ALS, Corvallis, OR 97331 USA
                Author notes

                Communicated by M. Traugott.

                Article
                757
                10.1007/s10340-016-0757-4
                4943995
                27471438
                d5e86629-a526-4516-bc1a-13add13aade1
                © The Author(s) 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 2 November 2015
                : 15 March 2016
                : 21 March 2016
                Funding
                Funded by: USDA SCRI
                Award ID: 2010-51181-21167
                Award ID: 2015-51181-24252
                Award Recipient :
                Funded by: USDA CRIS
                Award ID: 5358-22000-037-00D
                Award Recipient :
                Funded by: Grandi Progetti, Project LExEM
                Funded by: Washington State Blueberry Commission, Washington State Red Raspberry Commission, Washington State Strawberry Commission, Washington State Commission on Pesticide Registration
                Funded by: Project GREEEN, and Michigan State Horticultural Society
                Funded by: California Cherry Board and USDA APHIS (Farm bill, fund 14-8130-0463)
                Funded by: People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme FP7/2007-2013/ under REA grant agreement 318246 and from the Italian Ministry of Education, University and Research (PRIN project GEISCA, 2010CXXHJE_004)
                Categories
                Original Paper
                Custom metadata
                © Springer-Verlag Berlin Heidelberg 2016

                Pests, Diseases & Weeds
                dd,temperature,fecundity,survival,population dynamics,pesticide,spotted wing drosophila

                Comments

                Comment on this article