The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
How agro-ecological research helps to address food security issues under new IPM and pesticide reduction policies for global crop production systems
Abstract
Drivers behind food security and crop protection issues are discussed in relation to food losses caused by pests. Pests globally consume food estimated to feed an additional one billion people. Key drivers include rapid human population increase, climate change, loss of beneficial on-farm biodiversity, reduction in per capita cropped land, water shortages, and EU pesticide withdrawals under policies relating to 91/414 EEC. IPM (Integrated Pest Management) will be compulsory for all EU agriculture by 2014 and is also being widely adopted globally. IPM offers a 'toolbox' of complementary crop- and region-specific crop protection solutions to address these rising pressures. IPM aims for more sustainable solutions by using complementary technologies. The applied research challenge now is to reduce selection pressure on single solution strategies, by creating additive/synergistic interactions between IPM components. IPM is compatible with organic, conventional, and GM cropping systems and is flexible, allowing regional fine-tuning. It reduces pests below economic thresholds utilizing key 'ecological services', particularly biocontrol. A recent global review demonstrates that IPM can reduce pesticide use and increase yields of most of the major crops studied. Landscape scale 'ecological engineering', together with genetic improvement of new crop varieties, will enhance the durability of pest-resistant cultivars (conventional and GM). IPM will also promote compatibility with semiochemicals, biopesticides, precision pest monitoring tools, and rapid diagnostics. These combined strategies are urgently needed and are best achieved via multi-disciplinary research, including complex spatio-temporal modelling at farm and landscape scales. Integrative and synergistic use of existing and new IPM technologies will help meet future food production needs more sustainably in developed and developing countries, in an era of reduced pesticide availability. Current IPM research gaps are identified and discussed.
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Cites
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“…pest and natural enemy assemblages including, for example, niche complementarity, intraguild predation, and functional redundancy means that these mechanisms can also fail to enhance natural enemies in a way that achieves optimal levels of predation or pest suppression (Straub et al., 2008).”
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Cited by
Have biopesticides come of age?
Glare, T., Caradus, J., Gelernter, W., Jackson, T., Keyhani, N., Köhl, J., Marrone, P., Morin, L., & Stewart, A. (2012) · Trends in Biotechnology · doi:10.1016/j.tibtech.2012.01.003 · Cited by 758
Integrated Pest Management for Sustainable Intensification of Agriculture in Asia and Africa
Pretty, J., & Bharucha, Z. (2015) · Insects · doi:10.3390/insects6010152 · Cited by 675
Light Regulation of Plant Defense
Ballaré, C. L. (2014) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050213-040145 · Cited by 560
Fungicide resistance management: Maximizing the effective life of plant protection products
Corkley, I., Fraaije, B., & Hawkins, N. (2022) · Plant Pathology · doi:10.1111/ppa.13467 · Cited by 280
Hernández-Fernández, M., Cordero-Bueso, G., Ruiz-Muñoz, M., & Cantoral, J. M. (2021) · Plants · doi:10.3390/plants10050822 · Cited by 111
Metadata
- Authors
- E. Birch, A. N., Begg, G. S., & Squire, G. R.
- Venue
- Journal of Experimental Botany
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-06-01
- Volume
- 62
- Issue
- 10
- Pages
- 3251-3261
- ISSN
- 0022-0957 (ISSN-L)
- 1460-2431
- OpenAlex
- W2148435084
- Cited by
- 240
- References
- 6
- FWCI
- 14.81
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.