Disease management for hyper-yielding canola

2020

Research organisaton
Funding source

Trial details

Researcher(s) Nick Poole
Darcy Warren
Year(s) 2020
Contributor Field Applied Research (FAR) Australia
Trial location(s) Wallendbeen, NSW
Disease management for hyper-yielding canola locations
Aims

To determine optimum foliar fungicide management for hyper-yielding canola.

Individual objectives specific to the trial are:
1. Determine the value of contrasting major gene blackleg resistance groups in HYC environments:
a. BC (45Y28 RR and 45Y93 CL) – largely ineffective major gene resistance (good minor gene resistance).
b. ABD (HyTTec Trifecta) – currently effective major gene resistance.


2. Determine the effect of fungicide management strategies on disease control (upper canopy blackleg and sclerotinia), grain yield and profitability.

Key messages

 The Roundup Ready cultivar 45Y28 RR was consistently higher yielding than the TT cultivar HyTTec Trifecta.
 Hyperyielding Crops don’t always need a lot of fungicide:
o A two-spray strategy of Miravis Star at 20% Bloom followed by Prosaro at 50% Bloom yielded 0.3 t/ha more than the untreated control. At a cost >$100/ha, the profitability of this fungicide program would have been approximately break-even.
 Resistant cultivars are useful to reduce disease infection, in this case for Upper Canopy Blackleg:
o In this trial however the yield potential of 45Y28 RR outweighed the resistance benefit of HyTTec Trifecta which has major gene resistance still effective.

Wallendbeen NSW 2020

2019 Crop: Wheat.
Soil type & management: Red loam
Available Nitrogen (kg/ha) 0-60 cm: 140 kg/ha
Colwell P (mg/kg) 0-10 cm: 38
pH (CaCl2) 0-10 cm: 5.6
Organic Carbon (%) 0-10 cm: 1.7
 

Lead research organisation Field Applied Research (FAR) Australia
Host research organisation Field Applied Research (FAR) Australia
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
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Wallendbeen 2020

Sow rate or Target density 60 seeds/m2
Sow date 17 April 2020
Harvest date 28 November and 12 December 2020
Plot size Not specified
Plot replication Not specified
Fertiliser

Sowing Fertiliser: 130kg/ha MAP

Nitrogen: 17 April - 150 kg/ha SOA (30 kg/ha N)
                11 June - 196 kg/ha Urea (90 kg/ha N)
                 4 August - 70 kg/ha Urea (32 kg/ha N)

Fungicide

Please refer to report for treatment details

Seed treatment Jockey + Poncho
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 Red loam
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: 29-03-2023 14:45pm AEST