Disease management for hyper yielding spring canola

2021

Research organisaton
Funding source

Trial details

Researcher(s) Nick Poole
Darcy Warren
Year(s) 2021
Contributor Field Applied Research (FAR) Australia
Trial location(s) Wallendbeen, NSW
Disease management for hyper yielding spring canola locations
Aims

Determine the effect of fungicide management strategies on disease control (especially crown canker blackleg, upper canopy blackleg and sclerotinia stem rot) and grain yield in HyTTec Trifecta (Resistant, Blackleg Group ABD) and 45Y28 RR (Moderately Resistant, Blackleg Group BC).

Key messages

 Grain yield of 45Y28 RR increased by 0.92t/ha from nil fungicide to where four separate fungicides were used, including seed, 6-leaf, 20% bloom and 50% bloom. However there were treatments that incorporated fewer fungicide applications that yielded similarly to where four applications were used. The highest of these was where Maxim XL was applied to the seed
and a single application of Miravis Star was applied at 20% bloom.
 It was difficult to ascertain which disease was responsible for the yield loss. Sclerotinia levels were low with only 1.5% plants infected in the untreated control. Crown canker infection (% of cross section of basal stem) was reduced by fungicide but was not observed in high levels. Upper canopy blackleg infection on the main stem was also reduced by fungicide but was also
only present at low levels. Pod Upper canopy blackleg was present at higher levels than 2021, it was reduced best by the treatment that included a 20 and 50% bloom spray.
 There was no statistical benefit of fungicide on HyTTec Trifecta. Upper canopy blackleg infection was generally lower than 45Y28 RR. Sclerotinia levels were also low in HyTTec Trifecta with infection on 2.5% of plants in the untreated control.
 There was no effect of fungicide on any grain quality parameter in either cultivar.

Wallendbeen NSW 2021

2020 Crop: Pasture
Soil type & management: Red Ferrosol
Available Nitrogen (kg/ha) 0-60 cm: 340
Colwell P 0-10 cm: 63 mg/kg
pH (CaCl2) 0-10 cm: 5.2
Organic Carbon 0-10 cm: 2.0

Lead research organisation Field Applied Research (FAR) Australia
Host research organisation N/A
Trial funding source GRDC FAR2004-002SAX
Related program FAR Hyper Yielding Crops 2020-2022
Acknowledgments N/A
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: Rate
  • Fungicide: Timing
  • Fungicide: Type
  • Pest Management: Fungal
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Wallendbeen 2021

Sow rate or Target density 45 plants/m2
Sow date 25 April 2021
Harvest date 22 December 2021
Plot size Not specified
Plot replication Not specified
Fertiliser

Sowing Fertiliser: 130 kg/ha MAP (in-furrow) & 180 kg/ha Single Super (broadcast pre-sow).
Nitrogen: 6 Leaf - 113kg N/ha
               Bud Visible - 113kg N/ha

Fungicide

Please see report for treatment details 

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
Wallendbeen, NSW Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Wallendbeen, NSW Kandosol
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.

Wallendbeen 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 last modified: 14-03-2023 15:16pm AEST