The information contained in this publication is based on knowledge and understanding at the time of writing (July 2022) and may not be accurate, current or complete. The State of New South Wales (including the Department of Regional New South Wales), the author and the publisher take no responsibility, and will accept no liability, for the accuracy, currency, reliability or correctness of any information included in the document (including material provided by third parties). Readers should make their own inquiries and rely on their own advice when making decisions related to material contained in this publication. The product trade names in this publication are supplied on the understanding that no preference between equivalent products is intended and that the inclusion of a product name does not imply endorsement by the department over any equivalent product from another manufacturer
Researcher(s) |
Brad Baxter Andrew Milgate Steven Simpfendorfer |
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Contact email | brad.baxter@dpi.nsw.gov.au |
Year(s) | 2021 |
Contributor | Department of Primary Industries NSW |
Trial location(s) |
Southern NSW DPI offices, NSW
|
Further information | View external link |
Cereal disease management and diagnostics: What we learned in 2021 to improve management in 2022
• Favourable climatic conditions in 2021 resulted in the increased prevalence of a range of cereal diseases across NSW, especially the wheat leaf diseases stripe rust, septoria tritici blotch (STB) and yellow leaf spot (YLS).
• In combination with increased cereal stubble loads produced in 2021, pathogen levels are likely to be elevated again in 2022.
• Predicted La Niña conditions over summer will maintain or increase the risk of stripe rust in 2022.
• Multiple stripe rust pathotypes were prevalent across NSW in 2021. Keep up to date with the latest varietal resistance ratings.
• Minimise disease impacts in 2022 by using an integrated approach to management.
• NSW DPI plant pathologists can assist with correct diagnosis and advice on appropriate management options.
Lead research organisation |
Department of Primary Industries NSW |
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Host research organisation | N/A |
Trial funding source | GRDC |
Trial funding source | New South Wales DPI |
Related program | N/A |
Acknowledgments |
The research undertaken as part of this project is made possible by the joint investment of NSW DPI and GRDC under the Grains Agronomy and Pathology Partnership (GAPP) and the significant contributions of growers and their advisers through both sample submission and engagement, the authors thank them for their continued support. |
Other trial partners | Not specified |
Crop type | Forage: Oats |
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Treatment type(s) |
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Trial type | Article/commentary |
Trial design | Unknown |
Sow date | Not applicable |
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Harvest date | Not applicable |
Plot size | Not specified |
Plot replication | Not specified |
Psuedoreplication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2022, available at |
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.