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Crop protection in European maize-based cropping systems: Current practices and recommendations for innovative Integrated Pest Management

Author

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  • Vasileiadis, V.P.
  • Sattin, M.
  • Otto, S.
  • Veres, A.
  • Pálinkás, Z.
  • Ban, R.
  • Pons, X.
  • Kudsk, P.
  • van der Weide, R.
  • Czembor, E.
  • Moonen, A.C.
  • Kiss, J.

Abstract

Maize-based cropping systems (MBCSs), with different frequency of maize in the crop sequence, are common in European arable systems. Pesticide use differs according to the type of active ingredients and target organisms in different regions. Within the EU Network of Excellence ENDURE, two expert-based surveys were conducted focusing on four European study regions where experts were asked to identify MBCSs in their region, determine the current crop protection practices, propose advanced practices against major pests, weeds and diseases, and evaluate the potential agronomic, environmental, economic and social impact of innovative Integrated Pest Management (IPM) tools on the sustainability of MBCSs. In the northern region (Denmark and The Netherlands), maize is mostly cultivated as non-irrigated continuous silage maize or rotated with grass, while in the central-eastern region the major systems are non-irrigated continuous grain maize (Tolna county, Hungary) or grain maize grown in rotation with winter wheat, oilseed rape and sunflower (Békés county, Hungary). In the south-western (Ebro Valley, Spain) and southern (Po Valley, Italy) regions, continuous and irrigated grain maize, as well as irrigated grain and silage maize/winter wheat rotations are prevalent. Differences in current and proposed advanced crop protection practices for MBCSs were identified between regions due to specific pest, weed and disease problems. The tolerant/resistant non-GM maize cultivars, early detection methods, pest and disease forecasting models, precision/patch spraying using GPS spray maps and the community-based decisions through information sharing were commonly recommended for innovative IPM implementation in all regions. Deviations in the recommendations between regions were mainly caused by differences in the evaluation of economic or social impact of some tools (i.e. innovative mechanical weeding). Applied multi-disciplinary research and farmer incentives to encourage the adoption of innovative IPM strategies are essential for sustainable MBCSs development in Europe. The introduction of innovative tools into IPM strategies can contribute significantly to addressing the EU's strategic commitment to the sustainable use of pesticides and, consequently, more environmentally sustainable MBCSs.

Suggested Citation

  • Vasileiadis, V.P. & Sattin, M. & Otto, S. & Veres, A. & Pálinkás, Z. & Ban, R. & Pons, X. & Kudsk, P. & van der Weide, R. & Czembor, E. & Moonen, A.C. & Kiss, J., 2011. "Crop protection in European maize-based cropping systems: Current practices and recommendations for innovative Integrated Pest Management," Agricultural Systems, Elsevier, vol. 104(7), pages 533-540, September.
  • Handle: RePEc:eee:agisys:v:104:y:2011:i:7:p:533-540
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    References listed on IDEAS

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    1. Zhang, Wei & Swinton, Scott M., 2009. "Incorporating natural enemies in an economic threshold for dynamically optimal pest management," Ecological Modelling, Elsevier, vol. 220(9), pages 1315-1324.
    2. Trnka, M. & Muška, F. & Semerádová, D. & Dubrovský, M. & Kocmánková, E. & Žalud, Z., 2007. "European Corn Borer life stage model: Regional estimates of pest development and spatial distribution under present and future climate," Ecological Modelling, Elsevier, vol. 207(2), pages 61-84.
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    1. Feusthuber, E. & Schönhart, M. & Schmid, E., 2015. "Spatial analysis of maize cropping systems to relieve crop pest pressure in Austria," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212661, European Association of Agricultural Economists.
    2. Lavik, Ming Su & Hardaker, J. Brian & Lien, Gudbrand & Berge, Therese W., 2020. "A multi-attribute decision analysis of pest management strategies for Norwegian crop farmers," Agricultural Systems, Elsevier, vol. 178(C).
    3. Stefano Gaudino & Pytrik Reidsma & Argyris Kanellopoulos & Dario Sacco & Martin K. Van Ittersum, 2018. "Integrated Assessment of the EU’s Greening Reform and Feed Self-Sufficiency Scenarios on Dairy Farms in Piemonte, Italy," Agriculture, MDPI, vol. 8(9), pages 1-27, September.
    4. M. Lefebvre & C. Biguzzi & E. Ginon & S. Gomez-y-Paloma & S. R. H. Langrell & S. Marette & G. Mateu & A. Sutan, 2017. "Mandatory integrated pest management in the European Union: experimental insights on consumers’ reactions," Review of Agricultural, Food and Environmental Studies, Springer, vol. 98(1), pages 25-54, July.
    5. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    6. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
    7. Catarino, Rui & Areal, Francisco & Park, Julian & Parisey, Nicolas, 2019. "Spatially explicit economic effects of non-susceptible pests' invasion on Bt maize," Agricultural Systems, Elsevier, vol. 175(C), pages 22-33.
    8. Milan Brankov & Milena Simić & Željko Dolijanović & Miloš Rajković & Violeta Mandić & Vesna Dragičević, 2020. "The Response of Maize Lines to Foliar Fertilizing," Agriculture, MDPI, vol. 10(9), pages 1-12, August.

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