IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v104y2011i7p533-540.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X11000485
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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.
    3. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. de Oliveira, A.C.S. & Martins, S.G.F. & Zacarias, M.S., 2013. "An individual-based model for the interaction of the mite Tetranychus urticae (Koch, 1836) with its predator Neoseiulus californicus (McGregor, 1954) (Acari: Tetranychidae, Phytoseiidae)," Ecological Modelling, Elsevier, vol. 255(C), pages 11-20.
    2. Gonzalez, Darinka & Cabral, João Alexandre & Torres, Laura & Santos, Mário, 2015. "A cohort-based modelling approach for managing olive moth Prays oleae (Bernard, 1788) populations in olive orchards," Ecological Modelling, Elsevier, vol. 296(C), pages 46-56.
    3. I. Marková & D. Janouš & M. Pavelka & J. Macků & K. Havránková & K. Rejšek & M.V. Marek, 2016. "Potential changes in Czech forest soil carbon stocks under different climate change scenarios," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(12), pages 537-544.
    4. Liu, Yangxuan & Small, Ian & Langemeier, Michael & Gramig, Benjamin & Preckel, Paul & Joseph, Laura & Wu, Yuanhan & Fry, William, 2016. "Evaluating economic threshold for dynamically optimal disease management," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236018, Agricultural and Applied Economics Association.
    5. Sebastian Ramm & Hans Heinrich Voßhenrich & Mario Hasler & Yves Reckleben & Eberhard Hartung, 2024. "Comparative Analysis of Mechanical In-Field Corn Residue Shredding Methods: Evaluating Particle Size Distribution and Rating of Structural Integrity of Corn Stalk Segments," Agriculture, MDPI, vol. 14(2), pages 1-24, February.
    6. Zdeněk Žalud & Miroslav Trnka & Martin Dubrovský & Petr Hlavinka & Daniela Semerádová & Eva Kocmánková, 2009. "Climate change impacts on selected aspects of the Czech agricultural production," Plant Protection Science, Czech Academy of Agricultural Sciences, vol. 45(SpecialIs), pages 11-19.
    7. Yun, Seong Do & Gramig, Benjamin M., 2014. "Dynamic Optimization of Ecosystem Services: A Comparative Analysis of Non-Spatial and Spatially-Explicit Models," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170450, Agricultural and Applied Economics Association.
    8. Matty Demont & Marie Cerovska & Wim Daems & Koen Dillen & József Fogarasi & Erik Mathijs & František Muška & Josef Soukup & Eric Tollens, 2008. "Ex Ante Impact Assessment under Imperfect Information: Biotechnology in New Member States of the EU," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 463-486, September.
    9. Xiaoxue Du & Levan Elbakidze & Liang Lu & R. Garth Taylor, 2022. "Climate Smart Pest Management," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    10. Lu, Liang & Elbakidze, Levan, 2012. "Application of Comparative Dynamics in Stochastic Invasive Species Management in Agricultural Production," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125226, Agricultural and Applied Economics Association.
    11. Lehmann, Niklaus & Finger, Robert & Klein, Tommy & Calanca, Pierluigi & Walter, Achim, 2013. "Adapting crop management practices to climate change: Modeling optimal solutions at the field scale," Agricultural Systems, Elsevier, vol. 117(C), pages 55-65.
    12. Gu, Xi & Marsh, Thomas L., 2017. "Pesticide Substitution Under Maximum Residue Limits: Application to Hops Production," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258572, Agricultural and Applied Economics Association.
    13. Liu, Yangxuan & Langemeier, Michael & Gramig, Benjamin & Preckel, Paul & Small, Ian & Joseph, Laura & Fry, William, 2016. "Economic Threshold for Dynamically Optimal Late Blight Management," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230080, Southern Agricultural Economics Association.
    14. Machovina, Brian & Feeley, Kenneth J., 2013. "Climate change driven shifts in the extent and location of areas suitable for export banana production," Ecological Economics, Elsevier, vol. 95(C), pages 83-95.
    15. Liu, Yangxuan & Langemeier, Michael & Small, Ian & Joseph, Laura & Fry, William, 2015. "Risk management strategies using potato precision farming technology," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205417, Agricultural and Applied Economics Association.
    16. James Rudolph Miksanek & George E Heimpel, 2019. "A matrix model describing host–parasitoid population dynamics: The case of Aphelinus certus and soybean aphid," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-20, June.
    17. Thakur, Tiesta & Hurley, Terrance M., 2017. "Can Remote Sensing Improve the Profitability and Reduce the Risk of Integrated Pest Management for Soybean Aphid Control?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258122, Agricultural and Applied Economics Association.
    18. Carrasco, L.R. & Mumford, J.D. & MacLeod, A. & Harwood, T. & Grabenweger, G. & Leach, A.W. & Knight, J.D. & Baker, R.H.A., 2010. "Unveiling human-assisted dispersal mechanisms in invasive alien insects: Integration of spatial stochastic simulation and phenology models," Ecological Modelling, Elsevier, vol. 221(17), pages 2068-2075.
    19. repec:ags:aaea22:335911 is not listed on IDEAS
    20. Miroslav Trnka & Josef Eitzinger & Daniela Semerádová & Petr Hlavinka & Jan Balek & Martin Dubrovský & Gerhard Kubu & Petr Štěpánek & Sabina Thaler & Martin Možný & Zdeněk Žalud, 2011. "Expected changes in agroclimatic conditions in Central Europe," Climatic Change, Springer, vol. 108(1), pages 261-289, September.
    21. Yun, Seong Do & Gramig, Benjamin M., 2013. "Spatially Explicit Dynamically Optimal Provision of Ecosystem Services: An Application to Biological Control of Soybean Aphid," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150744, Agricultural and Applied Economics Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:104:y:2011:i:7:p:533-540. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.