IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v9y2019i1p23-d199026.html
   My bibliography  Save this article

The Past, Present, and Future of Barley Yellow Dwarf Management

Author

Listed:
  • Joseph Walls

    (Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA 16802, USA)

  • Edwin Rajotte

    (Department of Entomology, The Pennsylvania State University, University Park, PA 16802, USA)

  • Cristina Rosa

    (Department of Plant Pathology and Environmental Microbiology, The Pennsylvania State University, University Park, PA 16802, USA)

Abstract

Barley yellow dwarf (BYD) has been described as the most devastating cereal grain disease worldwide causing between 11% and 33% yield loss in wheat fields. There has been little focus on management of the disease in the literature over the past twenty years, although much of the United States still suffers disease outbreaks. With this review, we provide the most up-to-date information on BYD management used currently in the USA. After a brief summary of the ecology of BYD viruses, vectors, and plant hosts with respect to their impact on disease management, we discuss historical management techniques that include insecticide seed treatment, planting date alteration, and foliar insecticide sprays. We then report interviews with grain disease specialists who indicated that these techniques are still used today and have varying impacts. Interestingly, it was also found that many places around the world that used to be highly impacted by the disease; i.e. the United Kingdom, Italy, and Australia, no longer consider the disease a problem due to the wide adoption of the aforementioned management techniques. Finally, we discuss the potential of using BYD and aphid population models in the literature, in combination with web-based decision-support systems, to correctly time management techniques.

Suggested Citation

  • Joseph Walls & Edwin Rajotte & Cristina Rosa, 2019. "The Past, Present, and Future of Barley Yellow Dwarf Management," Agriculture, MDPI, vol. 9(1), pages 1-16, January.
    • Handle: RePEc:gam:jagris:v:9:y:2019:i:1:p:23-:d:199026
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/9/1/23/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/9/1/23/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Roberts, Michael J. & Schimmelpfennig, David E. & Ashley, Elizabeth & Livingston, Michael J. & Ash, Mark S. & Vasavada, Utpal, 2006. "The Value of Plant Disease Early-Warning Systems: A Case Study of USDA's Soybean Rust Coordinated Framework," Economic Research Report 7208, United States Department of Agriculture, Economic Research Service.
    2. Cox, P. G., 1996. "Some issues in the design of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 52(2-3), pages 355-381.
    Full references (including those not matched with items on IDEAS)

    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. Bergez, J. -E. & Garcia, F. & Lapasse, L., 2004. "A hierarchical partitioning method for optimizing irrigation strategies," Agricultural Systems, Elsevier, vol. 80(3), pages 235-253, June.
    2. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    3. Bekkerman, Anton & Goodwin, Barry K. & Piggott, Nicholas E., 2008. "Spatio-temporal Risk and Severity Analysis of Soybean Rust in the United States," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(3), pages 1-21.
    4. Kiker, Greg & Ranjan, Ram, 2006. "Decision Support System for Soybean Rust (Phakopsora pachyrhizi) Management using QnD," 2006 Annual meeting, July 23-26, Long Beach, CA 21248, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Lescourret, F. & Blecher, N. & Habib, R. & Chadoeuf, J. & Agostini, D. & Pailly, O. & Vaissiere, B. & Poggi, I., 1999. "Development of a simulation model for studying kiwi fruit orchard management," Agricultural Systems, Elsevier, vol. 59(2), pages 215-239, February.
    6. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.
    7. Walker, Daniel H., 2002. "Decision support, learning and rural resource management," Agricultural Systems, Elsevier, vol. 73(1), pages 113-127, July.
    8. Welch, S. M. & Jones, J. W. & Brennan, M. W. & Reeder, G. & Jacobson, B. M., 2002. "PCYield: model-based decision support for soybean production," Agricultural Systems, Elsevier, vol. 74(1), pages 79-98, October.
    9. Ranjan, Ram, 2007. "Technology Adoption Against Invasive Species," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 39(Special), pages 1-14, October.
    10. Loevinsohn, Michael E. & Berdegue, Julio A. & Guijt, Irene, 2002. "Deepening the basis of rural resource management: learning processes and decision support," Agricultural Systems, Elsevier, vol. 73(1), pages 3-22, July.
    11. Martin, G. & Duru, M. & Schellberg, J. & Ewert, F., 2012. "Simulations of plant productivity are affected by modelling approaches of farm management," Agricultural Systems, Elsevier, vol. 109(C), pages 25-34.
    12. Heiko Paeth & Daniel Schönbein & Luzia Keupp & Daniel Abel & Freddy Bangelesa & Miriam Baumann & Christian Büdel & Christian Hartmann & Christof Kneisel & Konstantin Kobs & Julian Krause & Martin Krec, 2023. "Climate change information tailored to the agricultural sector in Central Europe, exemplified on the region of Lower Franconia," Climatic Change, Springer, vol. 176(10), pages 1-24, October.
    13. Cain, J. D. & Jinapala, K. & Makin, I. W. & Somaratna, P. G. & Ariyaratna, B. R. & Perera, L. R., 2003. "Participatory decision support for agricultural management. A case study from Sri Lanka," Agricultural Systems, Elsevier, vol. 76(2), pages 457-482, May.
    14. Sterk, B. & van Ittersum, M.K. & Leeuwis, C. & Rossing, W.A.H. & van Keulen, H. & van de Ven, G.W.J., 2006. "Finding niches for whole-farm design models - contradictio in terminis?," Agricultural Systems, Elsevier, vol. 87(2), pages 211-228, February.
    15. Michael J. Roberts & David Schimmelpfennig & Michael J. Livingston & Elizabeth Ashley, 2009. "Estimating the Value of an Early-Warning System," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 31(2), pages 303-329.
    16. Hearn, A. B. & Bange, M. P., 2002. "SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 74(1), pages 27-56, October.
    17. Salembier, Chloé & Segrestin, Blanche & Berthet, Elsa & Weil, Benoît & Meynard, Jean-Marc, 2018. "Genealogy of design reasoning in agronomy: Lessons for supporting the design of agricultural systems," Agricultural Systems, Elsevier, vol. 164(C), pages 277-290.
    18. Mace, Karen & Morlon, Pierre & Munier-Jolain, Nicolas & Quere, Lionel, 2007. "Time scales as a factor in decision-making by French farmers on weed management in annual crops," Agricultural Systems, Elsevier, vol. 93(1-3), pages 115-142, March.
    19. Srinivasan, M.S. & Measures, R. & Fear, A. & Elley, G., 2022. "Making the invisible visible: Co-learning guided development of an operational tool for irrigation management," Agricultural Water Management, Elsevier, vol. 264(C).
    20. Gomez, Miguel I. & Nunez, Hector M. & Onal, Hayri, 2009. "Economic Impacts of Soybean Rust on the US Soybean Sector," Working Papers 51177, Cornell University, Department of Applied Economics and Management.

    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:gam:jagris:v:9:y:2019:i:1:p:23-:d:199026. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.