Can increasing row spacing reduce the disease incidence of Sclerotinia sclerotiorum stem rot in canola (2018)

2018

Research organisaton
Funding sources

Trial details

Researcher(s) Bec Swift
Contact email Vanessa.stewart@dpird.wa.gov.au
Year(s) 2018
Contributor Department of Primary Industries and Regional Development WA
Trial location(s) Toodyay, WA
Can increasing row spacing reduce the disease incidence of Sclerotinia sclerotiorum stem rot in canola (2018) locations
Aims

Investigate the effect of row spacing up to 66cm in two hybrid varieties at two different seeding rates to determine if row spacing or plant density can ameliorate the effect of sclerotinia stem rot, with or without fungicide application.

Key messages
  • Sclerotinia disease ratings were low in this trial as is expected in a season with a dry and late start (Bennett et al. 2018) but there was more disease in the Hyola 404 at the higher plant density than the other treatments.
  • Pioneer 43Y23 had significantly more branching than the Hyola 404 and a reduced length to the first branch. There was no significant difference in plant height between the two varieties but stem diameter was narrower in Hyola 404 than Pioneer 43Y23
  • Overall, the plant architecture dimensions or row spacing trial did not indicate a mechanism for increased or reduced disease control.
  • Grain yields decreased with increasing row spacing and reducing plant density.
  • This trial demonstrates that refining the agronomic package for wide row spacing in canola could lead to reduced up front and in season input costs
Lead research organisation Department of Primary Industries and Regional Development WA
Host research organisation N/A
Trial funding source GRDC DAW00256
Trial funding source DPIRD WA FFPJP13
Related program Regional Research Agronomy
Acknowledgments
  • Thanks to Frank Panizza for hosting the trial
  • Thanks to GRDC and DPIRD for co-investment  in the 'Building Crop Protection and Production Agronomy R&D Capacity in regional Western Australia' project (DAW00256/DAW1512-001RTX)

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

Method

Crop type Oilseed: Canola
Treatment type(s)
  • Crop: Variety
  • Fungicide: Type
  • Pest Management
  • Sowing: Rate
  • Sowing: Row Spacing
Trial type Experimental
Trial design Randomised,Replicated

Toodyay 2018

Sow date Unknown
Harvest date Unknown
Plot size Not specified
Plot replication Not specified
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
Toodyay, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Toodyay, WA Chromosol
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 Toodyay WA
2018 118.0mm
2017 134.7mm
2016 120.2mm
2015 98.8mm
2014 100.1mm
2013 120.2mm
2012 104.7mm
2011 93.2mm
2010 63.6mm
2009 108.3mm
2008 131.0mm
2007 117.0mm
2006 117.5mm
2005 106.0mm
2004 96.8mm
2003 128.4mm
2002 91.1mm
2001 54.3mm
2000 122.6mm
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

Derived climate information

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

Toodyay WA

NOTE: Exact trial site locality unknown - Climate data may not be accurate
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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 last modified: 16-12-2022 15:41pm AEST