Impact of common root rot and crown rot on wheat yield – Tamworth 2016

2016

Research organisaton
Funding sources

Trial details

Researcher(s) Steven Simpfendorfer (NSW DPI)
Year(s) 2016
Contributor Department of Primary Industries NSW
Trial location(s) Tamworth Agricultural Institute, NSW
Further information View external link
Impact of common root rot and crown rot on wheat yield – Tamworth 2016 locations
Aims

To compare the relative impact of common root rot and crown rot on wheat yield and determine if mixed infection exacerbates losses in a second season.
 

Key messages
  • A medium level of common root rot infection reduced the yield of LRPB GauntletA by 5% with a high level of infection resulting in 13% yield loss.
  • The expression of crown rot was reduced in 2016 due to the wet seasonal conditions. The medium level of infection did not significantly reduce the yield of LRPB GauntletA, but a high level of infection caused 9% yield loss.
  • Combined infection with both pathogens – common root rot and crown rot – further exacerbated yield loss, which equated to 23% with a high level of inoculum of both pathogens.
  • The effect from a mild, wet season on reducing the extent of yield loss caused by either of these two pathogens appears to be more pronounced with crown rot than common root rot.
     
Lead research organisation Department of Primary Industries NSW
Host research organisation N/A
Trial funding source GRDC DAN00176
Trial funding source DPI NSW
Related program Northern NSW integrated disease management
Acknowledgments

This experiment was part of the project Northern NSW integrated disease management (DAN00176; 2013–18), with joint investment by NSW DPI and GRDC. Assistance provided by Robyn Shapland, Tim O’Brien, Patrick Mortell, Finn Fensbo, Chyrstal Fensbo and Carla Lombardo (NSW DPI) is greatly appreciated.


Other trial partners Not specified
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Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Crop: Variety
  • Pest Management: Fungal
Trial type Experimental
Trial design Replicated

Tamworth Agricultural Institute 2016

Sow rate or Target density Target 100 plants/m2
Sow date 16 June 2016
Harvest date 12 December 2016
Plot size Not specified
Plot replication Not specified
Fertiliser

100 kg/ha Urea and 50 kg/ha Granulock® 12Z at sowing

Other trial notes

This research paper is an extract from the publication Northern grains Research Results 2017, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/ngrt-results
 

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Download results

Trial results Table 1

# Treatment 1
Treatment 2
Grain yield (t/ha)
1 CR nil CRR nil 4.54
2 CR med CRR nil 4.38
3 CR nil CRR med 4.32
4 CR med CRR med 4.21
5 CR high CRR nil 4.13
6 CR nil CRR high 3.95
7 CR high CRR high 3.49

Grain yield t/ha


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Tamworth Agricultural Institute, NSW Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Tamworth Agricultural Institute, NSW Vertosol
Soil Moisture Source: BOM/ANU
Average amount of water stored in the soil profile during the year, estimated by the OzWALD model-data fusion system.
Year Tamworth Agricultural Institute NSW
2016 794.7mm
2015 788.3mm
2014 788.1mm
2013 780.3mm
2012 774.5mm
2011 772.8mm
2010 799.1mm
2009 784.3mm
2008 792.0mm
2007 788.5mm
2006 790.3mm
2005 797.4mm
2004 799.1mm
2003 800.0mm
2002 781.0mm
2001 777.0mm
2000 747.4mm
National soil grid Source: CSIRO/TERN
NOTE: National Soil Grid data is aggregated information for background information on the wider area
Actual soil values can vary significantly in a small area and the trial soil tests are the most relevant data where available

Soil properties

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Climate

Tamworth Agricultural Institute NSW 2016


Observed climate information

Rainfall trial gsr (mm) 431mm

Derived climate information

Tamworth Agricultural Institute NSW

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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

2016 trial report



Trial last modified: 08-06-2023 09:35am AEST