Project Details
Description
BACKGROUND
Secure and sustainable food production in terms of quantity and quality is a major challenge facing human societies. However, food security is continuously threatened by current and invasive pest species. EU regulations for the use of pesticides are getting stricter to ensure food safety and protect ecosystem health. Biocontrol of agricultural pests by using natural enemies has great potential to deal with these two demands.
CHALLENGE
Controlling novel exotic pests often involves importing non-native natural enemies. Such practices are undesirable as it poses risks to local biodiversity. Optimizing existing and native biocontrol agents can reduce the dependence on imported natural enemies.
OBJECTIVE
BINGO will advance current knowledge in biocontrol practice through the use of natural genetic variation and by simultaneously training 13 young researchers in an extensive suite of interdisciplinary skills. This will allow them to improve the efficiency of biological pest control through selective breeding of natural enemies in a broad range of agricultural systems and environmental conditions.
HOW
The research projects will address current bottlenecks in biocontrol, for rearing, monitoring and performance, that include a broad range of scientific disciplines and in which state-of-the-art population genomics will be applied. Industry has a pivotal role by providing the problems for research, training, and by translating the results to capacity building and increased competitiveness.
RELEVANCE
BINGO will deliver improved biocontrol agents, knowledge on the genetic organisation of traits related to agents’ performance, genetic markers for monitoring and risk assessment, and guidelines and protocols for genetic improvement of natural enemies. Crucially, BINGO will deliver eager ESRs that have the potential to thrive in professional environments in science, industry and public bodies to ensure that the biocontrol potential is met and implemented.
Secure and sustainable food production in terms of quantity and quality is a major challenge facing human societies. However, food security is continuously threatened by current and invasive pest species. EU regulations for the use of pesticides are getting stricter to ensure food safety and protect ecosystem health. Biocontrol of agricultural pests by using natural enemies has great potential to deal with these two demands.
CHALLENGE
Controlling novel exotic pests often involves importing non-native natural enemies. Such practices are undesirable as it poses risks to local biodiversity. Optimizing existing and native biocontrol agents can reduce the dependence on imported natural enemies.
OBJECTIVE
BINGO will advance current knowledge in biocontrol practice through the use of natural genetic variation and by simultaneously training 13 young researchers in an extensive suite of interdisciplinary skills. This will allow them to improve the efficiency of biological pest control through selective breeding of natural enemies in a broad range of agricultural systems and environmental conditions.
HOW
The research projects will address current bottlenecks in biocontrol, for rearing, monitoring and performance, that include a broad range of scientific disciplines and in which state-of-the-art population genomics will be applied. Industry has a pivotal role by providing the problems for research, training, and by translating the results to capacity building and increased competitiveness.
RELEVANCE
BINGO will deliver improved biocontrol agents, knowledge on the genetic organisation of traits related to agents’ performance, genetic markers for monitoring and risk assessment, and guidelines and protocols for genetic improvement of natural enemies. Crucially, BINGO will deliver eager ESRs that have the potential to thrive in professional environments in science, industry and public bodies to ensure that the biocontrol potential is met and implemented.
| Acronym | BINGO |
|---|---|
| Status | Finished |
| Effective start/end date | 1/01/15 → 31/12/18 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Identifying regional drivers of future land-based biodiversity footprints
Marquardt, S. G., Doelman, J. C., Daioglou, V., Tabeau, A., Schipper, A. M., Sim, S., Kulak, M., Steinmann, Z. J. N., Stehfest, E., Wilting, H. C. & Huijbregts, M. A. J., 2021, In: Global Environmental Change. 69, 102304.Research output: Contribution to journal › Article › Academic › peer-review
Open Access25 Link opens in a new tab Citations (Scopus) -
Jekyll or Hyde? The genome (and more) of Nesidiocoris tenuis, a zoophytophagous predatory bug that is both a biological control agent and a pest
Ferguson, K. B., Visser, S., Dalíková, M., Provazníková, I., Urbaneja, A., Pérez-Hedo, M., Marec, F., Werren, J. H., Zwaan, B. J., Pannebakker, B. A. & Verhulst, E. C., Apr 2021, In: Insect Molecular Biology. 40, 2, p. 188-209Research output: Contribution to journal › Article › Academic › peer-review
Open Access19 Link opens in a new tab Citations (Scopus) -
Plant feeding by Nesidiocoris tenuis: Quantifying its behavioral and mechanical components
Chinchilla-Ramírez, M., Garzo, E., Fereres, A., Gavara-Vidal, J., ten Broeke, C. J. M., van Loon, J. J. A., Urbaneja, A. & Pérez-Hedo, M., Jan 2021, In: Biological Control. 152, 104402.Research output: Contribution to journal › Article › Academic › peer-review
Open Access33 Link opens in a new tab Citations (Scopus)
Datasets
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The Trichogramma brassicae genome, supporting data
Pannebakker, B. (Creator) & Ferguson, K. (Creator), Wageningen University & Research, 28 Nov 2019
Dataset
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The Nesidiocoris tenuis genome manuscript supporting data
Pannebakker, B. (Creator) & Ferguson, K. (Creator), Wageningen University & Research, 28 Nov 2019
Dataset
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Genetic variation of biological control relevant traits in natural enemies: a systematic review, supporting data
Pannebakker, B. (Creator) & Ferguson, K. (Creator), Wageningen University & Research, 2 Dec 2019
Dataset
Projects
- 1 Active
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Biological control of pest insects using genetic knowledge
Pannebakker, B. (PI) & Bruins, M. (PI)
1/01/25 → …
Project: Staff