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Journal of Pest Science

, Volume 90, Issue 2, pp 601–610 | Cite as

Evaluating trap cropping strategies for insect pest control through simulation models

  • María S. Fenoglio
  • Martín Videla
  • Juan M. Morales
Original Paper
  • 466 Downloads

Abstract

Trap cropping is a habitat management strategy where the aim is to reduce damage to the crop of interest by mixing it with other plants that are highly attractive to insect pests. However, despite its potential, the application of this strategy has been limited mainly due to a lack of consistent effectiveness. Here, we developed an individual-based spatially explicit model that accounts for reproduction, movement and mortality of insects within a mixed crop system. This model was used to evaluate the effects of varying trap crop spatial configurations (border, stripes and patches), cover (2, 4 and 10 %) and supplemental management strategies (early harvest and pesticide application) to gain insight into the best control options offered by trap cropping. As a case study, we considered Liriomyza huidobrensis, a world known leafminer pest. Our results showed a maximum reduction of about 34 % in the pest population of the main crop when using trap plants. The supplemental management strategy had a stronger effect than other factors, with pesticide use being the best option. A sensitivity analysis showed that demographic parameters were more relevant than the behavioral ones in determining the success of the method. Our model suggests that trap cropping is only suitable for controlling L. huidobrensis if a pesticide application is added to the trap crop. Individual-based models, which are cheaper and less laborious than direct field testing, might provide an important tool to help define management schemes for the control of herbivorous pests.

Keywords

Herbivores Individual-based model Movement Pest management 

Notes

Acknowledgments

We thank the Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) and Fondo para la Investigación Científica y Tecnológica (FONCyT) for providing the subsidy for this research (PICT 2012-No. 1846). We also would like to thank two anonymous reviewers for helpful comments on the manuscript and Dr. Paul Hobson, native speaker, for reviewing the manuscript. M.S.F., M.V. and J.M.M. belong to Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET).

Funding

This study was funded by Fondo para la Investigación Científica y Tecnológica (PICT 2012-No 1846)- Agencia Nacional de Promoción Científica y Tecnológica. Ministerio de Ciencia, Tecnología e Innovación Productiva, Argentina.

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with animals performed by any of the authors.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • María S. Fenoglio
    • 1
  • Martín Videla
    • 1
  • Juan M. Morales
    • 2
  1. 1.Instituto Multidisciplinario de Biología Vegetal (IMBIV)- CONICET and Centro de Investigaciones Entomológicas de Córdoba (CIEC)- Facultad de Ciencias Exactas Físicas y NaturalesUniversidad Nacional de CórdobaCórdobaArgentina
  2. 2.Laboratorio Ecotono, Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA)Universidad Nacional del Comahue-CONICETRío NegroArgentina

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