Evidence map›Paper›PMID 33522130›Full record

ArticlePest management science2021

Sampling pollen beetle (Brassicogethes aeneus) pressure in oilseed rape: which method is best?

Gaëtan Seimandi-Corda, Todd Jenkins, Samantha M Cook

Abstract read
In one paragraph

Article in Pest management science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gaëtan Seimandi-CordaBiointeractions and Crop Protection Department, Rothamsted Research, Harpenden, UK.ORCID https://orcid.org/0000-0001-7347-6446
Todd JenkinsBiointeractions and Crop Protection Department, Rothamsted Research, Harpenden, UK.
Samantha M CookBiointeractions and Crop Protection Department, Rothamsted Research, Harpenden, UK.

Funding

H2020 Environment 773554
6 · The paper itself

Abstract

backgroundThe pollen beetle (Brassicogethes aeneus) is the most abundant pest of oilseed rape in spring and is potentially one of the most damaging. Adults feed on the pollen within closed flower buds and the damage leads to bud abscission, resulting in podless stalks and yield reduction. Several methods are currently used to monitor the pressure of this insect, such as counting the numbers of adults on the plants, quantifying the number of buds damaged by the insect before flowering or counting the number of podless stalks before harvest. We conducted experiments to evaluate the robustness of these sampling methods and compared their results. We also describe how pollen beetles damage the plants to understand the limitations of methods based on damage estimation.

resultsMethods based on adult abundance lack robustness. We observed that most of the damage to buds is caused by pollen beetles feeding on small buds (< 3 mm), and that this damage can be quantified later in the season, indicating that methods based on the count of podless stalks are robust. Different methods gave consistent results and quantification of the pressure on the primary raceme can be a good proxy for pressure on the whole plant.

conclusionsStandardised methods for assessment of pollen beetle pressure will enable comparison of pest management strategies between different studies and facilitate the development of alternative control strategies for this pest. © 2021 Rothamsted Research. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

Brassica napusColeopteraAnimalsPest ControlPollenSeasonscontrol thresholddecision supportfeeding damageMeligethes aeneusmonitoringoviposition damagepodless stalk

Identifiers

PMID33522130
PMCPMC8248050

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.