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Data for: Semiochemically assisted trap cropping to reduce broad bean beetle (Bruchus rufimanus) infestation in faba bean

https://doi.org/10.5878/sqp5-zx59
We conducted a field experiment in south central Sweden over two years, in 2021 and 2023, in a total of 24 faba bean fields to test if a trap crop in combination with semiochemical traps can reduce broad bean beetle infestation in faba bean. Fields were paired, such that each pair (n=12) contained one treated field with a perimeter strip of an early flowering faba bean cultivar used as a trap crop in combination with semiochemical traps, and one control field with just the faba bean main crop without a trap crop or semiochemical traps. In a subset of semiochemical traps in each field, trapped broad bean beetle adults were counted and sexed. Crop damage data was taken along three transects in both field pairs. The dataset contains egg count (3600 data rows), proportion of bean damage (72 data rows), trap catches (3512 data rows) as well as yield and yield components (72 data rows) More information about the data can be found in the readme.txt. file.
Download data and documentation (5 files / 279.07 KiB)

Data files

  • BeanDamage.csv
    2.49 KiB
  • Eggs.csv
    95.56 KiB
  • Traps.csv
    172.09 KiB
  • Yield.csv
    4.04 KiB

Documentation files

  • readme.txt
    4.89 KiB

Citation and access

Data access level:

Creator/Principal investigator(s):

Research principal:

Principal's reference number:

  • SLU.ekol.2025.4.2.IÄ-1

Data contains personal data:

Yes

Type of personal data:

Pseudonymized data, codes that correspond to field sites belonging to landowners

Code key exists:

Yes

Citation:

License:

Language:

Method and outcome

Time period(s) investigated:

Data format/data structure:

Species and taxons:

Data collection Experiment

Mode of collection:

Experiment

Description of the mode of collection:

Field observations

Time period(s) for data collection:

2021-06-04 - 2021-07-23

Data collector:

Source of the data:

  • Biological samples

Temporal resolution:

day

Spatial resolution:

kilometres scale

Data collection Experiment

Mode of collection:

Experiment

Description of the mode of collection:

Field observations

Time period(s) for data collection:

2023-06-05 - 2023-07-25

Data collector:

Source of the data:

  • Biological samples

Temporal resolution:

day

Spatial resolution:

kilometres scale

Geographic coverage

Geographic location:

Administrative information

Responsible department/unit:

Department of Ecology

Funding

Funding agency:

Award number:

2022-00483_Formas

Award title:

Integrated pest and pollinator management for sustainable plant protein production

Funding information:

Increased pressures on beneficial arthropods such as pollinators and natural enemies and a lack of sustainable pest control strategies threaten viable crop production. Integrated pest and pollinator management (IPPM) offers a framework in which crops can be managed for dual goals of crop pollination and pest control, but has so far focused on making pesticide use more pollinator friendly. This overlooks that proactive management of pests, natural enemies and pollinators reduces the need to use pesticides in the first place, while at the same time facilitating the build-up of populations of beneficial insects. This project aims to take the next steps within IPPM by testing proactive non-chemical and environmentally friendly methods at the landscape, field and plant scale that strike a balance between pest and pollinator management. We use Swedish faba bean production as our model system, which is an important grain legume crop in replacing imported soybean. Our project probes forefront of IPPM and put to test to what extent proactive tactics without any use of pesticides can protect crops from pests and safeguard pollination, combining agronomic and conservation goals for sustainable production. Researchers, crop advisors in both the public and private sector and industry will collaborate in the project and take its findings to the next step towards application by growers.

Topic and keywords

Standard för svensk indelning av forskningsämnen 2025:

INSPIRE topic categories:

Keywords:

Publications

Citation:

Raderschall, C.A., Johansson, Y., Lundin, O. (2025). Semiochemically assisted trap cropping to reduce broad bean beetle (Bruchus rufimanus) infestation in faba bean. Agriculture, Ecosystems and Environment. 388:109669, https://doi.org/10.1016/j.agee.2025.109669Opens in a new tab

Contact

SLU Arkivarkiv@slu.seOpens in a new tab

Metadata

Version 1
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slu
Published:|Updated: