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dc.contributor.authorFenton, Andrewen_UK
dc.contributor.authorGwynn, Romaen_UK
dc.contributor.authorGupta, Aen_UK
dc.contributor.authorNorman, Rachelen_UK
dc.contributor.authorFairbairn, Jonathan Pen_UK
dc.contributor.authorHudson, Peter Jen_UK
dc.description.abstract1 The nematode Steinernema feltiae has been developed commercially as a biocontrol agent and is successful in controlling sciarid flies in mushroom houses. We used a simple model developed in parallel with a series of field trials, to optimize the application strategy of the nematode. 2 The first field trial provided life-history parameter estimates for both the sciarid flies and the nematodes and showed there to be substantial levels of nematode recycling, leading to high levels of control. Crucially, the field trial showed that by splitting the application into two, and applying half the nematodes at day 0 and half at day 7, the overall number of nematodes (dose) could be substantially reduced from currently recommended levels without sacrificing control success. 3 The model confirmed that there should be a benefit in splitting the dose, if the second application is timed to coincide with the peak in numbers of highly susceptible sciarid larvae. Importantly, the model provided insight into the dynamics of the sciarid larvae, even though the original data set only recorded adult fly numbers. 4 Using a split dose, optimally timed, the model suggested that total doses could be reduced by up to 75% and still achieve control comparable to that found with currently recommended dosages. The timing of the second application of nematodes was crucial in determining the level of control. 5 The model predictions were validated against a second independent field trial with considerably lower fly densities. Even under these different conditions, the predictions were accurate, indicating the robustness of the modelling approach. 6 To date models have rarely provided genuine practical advice to applied agriculturists and biocontrol practitioners. This study shows how a simple model developed in parallel with replicated field trials leads to a better understanding of the biological processes underlying successful control, resulting in improvements in recommended application strategies.en_UK
dc.publisherJohn Wiley & Sonsen_UK
dc.relationFenton A, Gwynn R, Gupta A, Norman R, Fairbairn JP & Hudson PJ (2002) Optimal application strategies for entomopathogenic nematodes: integrating theoretical and empirical approaches. Journal of Applied Ecology, 39 (3), pp. 481-492.;
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectbiological controlen_UK
dc.subjectfield trialsen_UK
dc.subjectsciarid fliesen_UK
dc.subjectstage-structured modelen_UK
dc.titleOptimal application strategies for entomopathogenic nematodes: integrating theoretical and empirical approachesen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreason[fenton and gwynn etc.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.citation.jtitleJournal of Applied Ecologyen_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationMicroBio Ltden_UK
dc.contributor.affiliationMicroBio Ltden_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorFenton, Andrew|en_UK
local.rioxx.authorGwynn, Roma|en_UK
local.rioxx.authorGupta, A|en_UK
local.rioxx.authorNorman, Rachel|0000-0002-7398-6064en_UK
local.rioxx.authorFairbairn, Jonathan P|en_UK
local.rioxx.authorHudson, Peter J|en_UK
local.rioxx.projectInternal Project|University of Stirling|
local.rioxx.filenamefenton and gwynn etc.pdfen_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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