Disease management for Hyper-Yielding Spring Canola

2022

Research organisations
Funding source

Trial details

Researcher(s) Rohan Brill
Nick Poole
Year(s) 2022
Contributor Field Applied Research (FAR) Australia
Trial location(s) Wallendbeen, NSW
Disease management for Hyper-Yielding Spring Canola locations
Aims

Determine the key timings for fungicide protection and the value of varietal resistance for blackleg management in hyper yielding Canola.

Key messages

Sub trial 1. Glyphosate tolerant canola

• The complete fungicide treatment was higher yielding than nil and late fungicide in both 45Y28 RR and Condor TF.
• The benefit of the Complete treatment is from the extra protection provided by Saltro on the seed and Prosaro at 4-6 leaf stage to protect crown canker blackleg.
• When counted at maturity, there were more plants in the Complete treatment in 45Y28 RR compared to Nil and Late, but fungicide had no effect on plant numbers in Condor TF.
• The Complete treatment reduced crown canker blackleg infection (proportion of cross section of stem infected with blackleg at maturity) in both varieties.
• There were small effects of fungicide treatment on both upper canopy blackleg and sclerotinia stem rot (data not shown) but despite the wet year these diseases were both at surprisingly low levels. Sclerotinia stem rot averaged only 2% of plants infected with no fungicide treatment.

Sub trial 2. Triazine tolerant canola

• There was a grain yield response of approximately 0.6 t/ha in ATR Wahoo where the complete fungicide management strategy was used compared with the late and full strategy, but there was no yield response in the more resistant variety HyTTec Trifecta. This response shows that the key timing for disease control in this trial was for early crown infection rather than later upper canopy diseases e.g. sclerotinia stem rot and upper canopy blackleg.
• The complete fungicide treatment had higher plant numbers at maturity in ATR Wahoo and lower crown canker infection.
• Upper canopy disease levels were low overall, with 4% infection of main stems with sclerotinia stem rot (untreated).

Wallendbeen NSW 2022

Trial design: Factorial (Variety x Foliar)

Variety: 45Y28RR & HyTTec Trifecta

2021 Crop: Wheat
2020 Crop: Canola
2019 Crop: Pasture
Soil type: Red Ferrosol
Available Nitrogen (kg/ha) 0-60cm: 180
Colwell P 0-10cm: 35mg/kg
pH (CaCl2) 0-10cm: 5.4
Organic Carbon 0-10cm: 3.1

Lead research organisation Field Applied Research (FAR) Australia
Host research organisation Brill Ag
Trial funding source GRDC FAR2004-002RTX
Related program N/A
Acknowledgments N/A
Other trial partners Field Applied Research (FAR) Australia
Download the trial report to view additional trial information

Method

Crop type Oilseed: Canola
Treatment type(s)
  • Crop : Variety
  • Fungicide
  • Fungicide : Rate
  • Fungicide : Timing
  • Fungicide : Type
Trial type Experimental
Trial design Randomised,Replicated

Wallendbeen 2022

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Sow rate or Target density 45 plants/m2
Sow date 25 April 2022
Harvest date 21 December 2022
Trial design method O Other
Trial design arrangement 6 rows x 4 cols
Total plots 24
Plot size Not specified
Plot replication 4
Psuedoreplication N
Plot randomisation Y
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

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

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 report and links

2022 trial report



Trial last modified: 17-06-2024 13:09pm AEST