Relative efficiency of methods to estimate cabbage stem flea beetle (Psylliodes chrysocephala) larval infestation in oilseed rape (Brassica napus)
Background The cabbage stem flea beetle (CSFB; Psylliodes chrysocephala) is an important pest of winter oilseed rape (OSR) crops in Europe. Damage is caused by adults feeding on young leaves and by larvae mining in the leaves and stems. The most common method to estimate the severity of CSFB larval infestation is by plant dissection, which is time consuming and labour intensive. Two alternative methods have been proposed: extraction of larvae from desiccating plants and counting the percentage of leaves with scars left by larvae on plant petioles. These methods are easy to implement and less time consuming than plant dissection but have not been properly validated.
Results OSR plants were sampled in five different experiments and the two alternative methods tested; assessment of the total number of scars per plant as a predictor of the number of larvae was also tested. The number of larvae remaining in plants following various periods of desiccation was checked via plant dissection. We found that the desiccation method is efficient, giving reliable results after 7 days (76% of the total larvae extracted) with good accuracy in estimating the number of larvae per plant (±0.38 larvae per plant). The total number of scars also gives a reliable estimation of the number of larvae (r = 0.76, accuracy of ±1.01 larvae per plant).
Conclusion OSR plant desiccation and the total number of scars per plant are reliable methods to estimate CSFB larval infestation and will facilitate monitoring of this cryptic pest stage. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
| Item Type | Article |
|---|---|
| Open Access | Gold |
| Additional information | Rothamsted Research receives grant-aided support from the UK Biotechnology and Biological Sciences Research Council (BBSRC). GS-C and TJ were funded by the European Union's Horizon 2020 Research and Innovation programme as part of the project EcoStack (Grant Agreement no. 773554); JH was funded by ASSIST (NE/N018125/1); SMC is part funded by EcoStack and AgZero+ [NE/W005050/1, jointly supported by UK Natural Environment Research Council (NERC) and BBSRC]. |
| Keywords | Stem miners, Threshold detection, Rapeseed, Plant dissection, Berlese method, Leaf scars |
| Project | Ecostack, ASSIST - Achieving Sustainable Agricultural Systems, AgZero+ |
| Date Deposited | 05 Dec 2025 10:36 |
| Last Modified | 19 Dec 2025 14:56 |


