Variety resistance has little effect on ascospore production by wheat pathogens Zymoseptoria tritici (STB) and Pyrenophra tritici-repentis (YLS)

2019 - 2021

Research organisation
Funding sources
<abbr title='Grains Research and Development Corporation'>GRDC</abbr> New South Wales DPI

Trial details

Researcher(s) Brad Baxter
Tony Goldthorpe
Michael McCaig
Andrew Milgate
Merrin Spackman
Contact email andrew.milgate@dpi.nsw.gov.au
Year(s) 2019 - 2021
Contributor Department of Primary Industries NSW
Trial location(s) Wagga Wagga, ACT
Further information View external link
Variety resistance has little effect on ascospore production by wheat pathogens Zymoseptoria tritici (STB) and Pyrenophra tritici-repentis (YLS) locations
Aims

Variety resistance has little effect on ascospore production by wheat pathogens Zymoseptoria tritici (STB) and Pyrenophra tritici-repentis (YLS)

Key messages

• Zymoseptoria tritici and Pyrenophra tritici-repentis, the disease-causing pathogens of septoria tritici blotch (STB) and yellow leaf spot (YLS), can produce ascospores on wheat stubble regardless of their resistance status.
• Any infected wheat stubble has the ability to initiate an epidemic for up to 2 years.
• Reduce harvest cut height to limit Z. tritici colonising stubble.
• Excess harvest material must be removed from the paddock to produce a net reduction of Z. tritici inoculum.
• Minimise disease impacts by using an integrated approach to management.

Wagga Wagga ACT 2019

Components of the research discussed above can be implemented into an integrated disease management plan to control STB and YLS. Acknowledging the risk, and duration of the risk i.e. up to 2 years, that any STB or YLS infected stubble can have on proceeding cereal crops can guide crop rotation decisions, or if growing wheat on wheat, allow a plan to be implemented that can appropriately manage the risk of these diseases. Variety choice, stubble cut height and stubble removal can all be implemented to reduce yield loss and inoculum levels of STB and YLS.

Wagga Wagga ACT 2020

Components of the research discussed above can be implemented into an integrated disease management plan to control STB and YLS. Acknowledging the risk, and duration of the risk i.e. up to 2 years, that any STB or YLS infected stubble can have on proceeding cereal crops can guide crop rotation decisions, or if growing wheat on wheat, allow a plan to be implemented that can appropriately manage the risk of these diseases. Variety choice, stubble cut height and stubble removal can all be implemented to reduce yield loss and inoculum levels of STB and YLS.

Wagga Wagga ACT 2021

Components of the research discussed above can be implemented into an integrated disease management plan to control STB and YLS. Acknowledging the risk, and duration of the risk i.e. up to 2 years, that any STB or YLS infected stubble can have on proceeding cereal crops can guide crop rotation decisions, or if growing wheat on wheat, allow a plan to be implemented that can appropriately manage the risk of these diseases. Variety choice, stubble cut height and stubble removal can all be implemented to reduce yield loss and inoculum levels of STB and YLS.

Lead research organisation N/A
Host research organisation Department of Primary Industries NSW
Trial funding source GRDC DPI1807-011BLX
Trial funding source New South Wales DPI BLG207
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) under project code BLG207 – Integrated disease management for winter cereals in southern NSW.
The authors acknowledge the ongoing support for cereal pathology capacity by NSW DPI.


Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Crop : Variety
  • Pest Management : Fungal
  • Sowing : Timing
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Wagga Wagga 2019

Sow date Multiple - please see report
Harvest date Not harvested
Trial design method RCBD Randomised Complete Block Design
Plot size Not specified
Plot replication 3
Plot randomisation Y
Other trial notes

This research paper is an extract from the publication Southern NSW Research Results 2022, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/southern-nsw-research-results

Wagga Wagga 2020

Sow date Multiple - please see report
Harvest date Not harvested
Trial design method RCBD Randomised Complete Block Design
Plot size Not specified
Plot replication 3
Plot randomisation Y
Other trial notes

This research paper is an extract from the publication Southern NSW Research Results 2022, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/southern-nsw-research-results

Wagga Wagga 2021

Sow date Multiple - please see report
Harvest date Not harvested
Trial design method RCBD Randomised Complete Block Design
Plot size Not specified
Plot replication 3
Plot randomisation Y
Other trial notes

This research paper is an extract from the publication Southern NSW Research Results 2022, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/southern-nsw-research-results

Download the trial report to view additional method/treatment information
Trial source data and summary not available
Check the trial report PDF for trial results.
Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Wagga Wagga, ACT Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Wagga Wagga, ACT Sodosol

Climate

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Wagga Wagga ACT

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Some data on this site is sourced from the Bureau of Meteorology

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.

Trial report and links

2019 trial report



Trial last modified: 04-09-2024 17:50pm AEST