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Modelling the tri-trophic population dynamics of a host crop (Triticum aestivum; Poaceae), a major pest insect (Sitodiplosis mosellana; Diptera: Cecidomyiidae), and a parasitoid of the pest species (Macroglenes penetrans; Hymenoptera: Pteromalidae): a cohort-based approach incorporating the effects of weather

Published online by Cambridge University Press:  13 April 2020

O. Olfert*
Affiliation:
Saskatoon Research and Development Centre, 107 Science Place, Saskatoon, Saskatchewan, S7N 0X2, Canada
R.M. Weiss
Affiliation:
Saskatoon Research and Development Centre, 107 Science Place, Saskatoon, Saskatchewan, S7N 0X2, Canada
M. Vankosky
Affiliation:
Saskatoon Research and Development Centre, 107 Science Place, Saskatoon, Saskatchewan, S7N 0X2, Canada
S. Hartley
Affiliation:
Saskatchewan Ministry of Agriculture, 346 McDonald Street, Regina, Saskatchewan, S4N 6P6, Canada
J.F. Doane
Affiliation:
Saskatoon Research and Development Centre, 107 Science Place, Saskatoon, Saskatchewan, S7N 0X2, Canada
*
*Corresponding author. Email: owen.olfert@canada.ca

Abstract

This paper describes a tri-trophic analysis of the ecological dynamics of a crop, an insect pest, and a natural enemy of the insect pest. Worldwide wheat (Triticum Linnaeus) (Poaceae) production in 2018–2019 was estimated at over 700 million metric tons in 2018–2019. Wheat midge, Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae), a serious insect pest of wheat, is widely distributed in many parts of the world where wheat production occurs. Macroglenes penetrans (Kirby) (Hymenoptera: Pteromalidae), a parasitoid of S. mosellana, has successfully established in most wheat midge-infested areas. Mechanistic, or process-based, population models were used in this study to assess the interactive population dynamics of the three species, based on their respective life cycles and meteorological factors. The models were validated with survey data from multiple sites over numerous years (1991–2016). These simulation models helped to detail our understanding of the tri-trophic population dynamics and will help guide pest management decisions both prior to the growing season and until wheat heading, when wheat is no longer susceptible to S. mosellana. The associated models also help identify gaps in system knowledge, provide a foundation for evaluating future innovative management options, and evaluate the potential impact of a changing climate.

Type
Research Papers
Copyright
© 2020 Her Majesty the Queen in Right of Canada

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Footnotes

Subject editor: Suzanne Blatt

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