Data underlying the publication: Crop species diversity levels with attract and reward strategies to enhance Pieris brassicae parasitism rate by Cotesia glomerata in strip intercropping
- Ecological Applications
- Ecology
- Agriculture, Land and Farm Management
- Environmentally Sustainable Plant Production
- Flora, Fauna and Biodiversity
- Control of Pests, Diseases and Exotic Species
- Agricultural and Veterinary Sciences
- Plant Production and Plant Primary Products
- Biological Sciences
- Environmental Sciences
- Environment
This data belongs to the paper published in Functional Ecology, with the title: Crop species diversity levels with attract and reward strategies to enhance Pieris brassicae parasitism rate by Cotesia glomerata in strip intercropping. See the published paper and the readme files for information on methods, techniques and other relevant information.
Abstract:
We assessed parasitism rates of released large cabbage white (Pieris brassicae) caterpillars by parasitoids on white cabbage (Brassica oleracea) plants in six different cropping systems: four different strip cropping designs, a pixel cropping design and a monoculture. These cropping designs differed in the number of crops included, the use of parasitoid attractive cultivars in concurrence with a cash cultivar, the use of nectar-providing crops for adult parasitoids, and the spatial arrangement of the crops. Parasitism rate by the main P. brassicae parasitoid Cotesia glomerata was enhanced by strip cropping of white cabbage with wheat, and even further enhanced by the inclusion of four more main crops. Contrastingly, C. glomerata parasitism rate was lower in the most intensive crop mixture, i.e., pixel cropping, than in any of the strip cropping designs. The use of attractive cultivars or rewarding floral resources within a strip cropping set-up did not significantly further enhance C. glomerata parasitism rate.
- 2023-12-22 first online, published, posted
- DiverIMPACTS (grant code 727482) European Union's Horizon 2020
- LegValue (grant code 727672) European Union's Horizon 2020
Farming Systems Ecology, Wageningen University & Research;
Field Crops, Wageningen University & Research
DATA
- 19,565 bytesMD5:
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Par_Analysis_CgEggNum_231219_V02.R - 19,613 bytesMD5:
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Par_Analysis_CgParaRate_PerCat_231219_V02.R - 26,398 bytesMD5:
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Par_Analysis_CgParaRate_PerPla_231219_V02.R - 18,656 bytesMD5:
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Par_Analysis_CrHeParaRate_PerPla_231219_V02.R - 19,667 bytesMD5:
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Par_Analysis_RecRate_231219_V02.R - 2,143 bytesMD5:
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Par_codebook.csv - 1,362,553 bytesMD5:
1ab81f6b1504b030d6a10932addcd7e0
Par_data.xlsx - 20,921 bytesMD5:
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Par_Read_me.txt -
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1,489,516 bytes unzipped