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Response of Insect Relative Growth Rate to Temperature and Host-Plant Phenology: Estimation and Validation from Field Data

Author

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  • Mamadou Ciss
  • Nicolas Parisey
  • Gwenaëlle Fournier
  • Pierre Taupin
  • Charles-Antoine Dedryver
  • Jean-Sébastien Pierre

Abstract

Between 1975 to 2011, aphid Relative Growth Rates (RGR) were modelled as a function of mean outdoor temperature and host plant phenology. The model was applied to the grain aphid Sitobion avenae using data on aphid counts in winter wheat at two different climate regions in France (oceanic climate, Rennes (western France); continental climate, Paris). Mean observed aphid RGR was higher in Paris compared to the Rennes region. RGR increased with mean temperature, which is explained by aphid reproduction, growth and development being dependent on ambient temperature. From the stem extension to the heading stage in wheat, there was either a plateau in RGR values (Rennes) or an increase with a maximum at heading (Paris) due to high intrinsic rates of increase in aphids and also to aphid immigration. From the wheat flowering to the ripening stage, RGR decreased in both regions due to the low intrinsic rate of increase in aphids and high emigration rate linked to reduced nutrient quality in maturing wheat. The model validation process showed that the fitted models have more predictive power in the Paris region than in the Rennes region.

Suggested Citation

  • Mamadou Ciss & Nicolas Parisey & Gwenaëlle Fournier & Pierre Taupin & Charles-Antoine Dedryver & Jean-Sébastien Pierre, 2014. "Response of Insect Relative Growth Rate to Temperature and Host-Plant Phenology: Estimation and Validation from Field Data," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
    • Handle: RePEc:plo:pone00:0086825
    DOI: 10.1371/journal.pone.0086825
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    References listed on IDEAS

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    1. Fabre, Frédéric & Dedryver, Charles-Antoine & Plantegenest, Manuel & Hullé, Maurice & Rivot, Etienne, 2010. "Hierarchical Bayesian Modelling of plant colonisation by winged aphids: Inferring dispersal processes by linking aerial and field count data," Ecological Modelling, Elsevier, vol. 221(15), pages 1770-1778.
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    Cited by:

    1. Daniela A. Sepúlveda & Gonzalo Barrueto & Margarita C. G. Correa & Luis E. Castañeda & Christian C. Figueroa, 2021. "Spatial and Temporal Variation in the Aphid–Parasitoid Interaction under Different Climates," Agriculture, MDPI, vol. 11(4), pages 1-15, April.

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