Evaluate newly registered seed treatments for loose smut and Rhizoctonia in Hindmarsh barley

2013
CC BY 4.0

Research organisatons

Trial details

Researcher(s) Rick Horbury (Bayer CropScience)
Year(s) 2013
Contributor Liebe Group
Trial location(s) West Wubin, WA
Evaluate newly registered seed treatments for loose smut and Rhizoctonia in Hindmarsh barley locations
Aims

To compare EverGol Prime, Vibrance and Tripower to Baytan T for loose smut contol and to compare EverGol Prime to triazole seed treatments for Rhizoctonia suppression.

Key messages
  • Loose smut in barley is internally seed borne so if you are seeing infected heads then it means your grain souce was contaminated. It is the hardest of the smut diseases to control because it is an internally seed borne infection and most current seed treatments are not as effective on internally seed borne diseases.
  • EverGol Prime has excellent local systemicity, being able to move across the seed wall and into the seed. It is an excellent option for control of loose smut.
  • The applicaiton of Sakura into barley was not successful with the APVMA. Therefore we will not review the results as this component of the trial in regard to the interactions with pre-emergent herbicides.
Lead research organisation Bayer CropScience
Host research organisation N/A
Related program N/A
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Barley
Treatment type(s)
  • Fungicide: Application Method
  • Fungicide: Type
Trial type Experimental
Trial design Replicated

West Wubin 2013

Sow rate or Target density 70kg/ha
Sow date 10 May 2013 Second Time of sowing 31-05-2013
Harvest date Not specified
Plot size 2.5m x 10m
Plot replication 3
Paddock history 2010: canola, 2011: wheat, 2012: lupin
Fertiliser

60 kg/ha of Gusto Gold or similar banded, 60 kg/ha of Urea top dressed

Herbicide

118 g/ha Sakura, 2 L/ha Glyphosate, 1 L/ha Lorsban,670 mL/ha Velocity, Hasten

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Treatment 1
Infected plants (plants/plot) Protein (%) Grain yield (t/ha) Loose smut control (%) Hectolitre weight (kg/hL) Screenings (%)
1 Baytan 100 mL/100 kg 43 10.8 1.78 64 65.5 6
2 EverGol Prime 40 mL/100 kg 3 11.3 1.88 97 67 4.5
3 EverGol Prime 80 mL/100 kg 1 10.9 1.9 99 66.2 4.1
4 TriPower 400 mL/100 kg 66 11.3 1.84 44 64.5 4.5
5 Untreated 118 11.1 1.87 0 65.7 4.3
6 Vibrance 180 mL/100 kg 17 11.5 1.81 85 66.5 4.2
7 Vibrance 360 mL/100 kg 2 11.2 1.69 99 65.3 4.3

Grain yield t/ha


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Hectolitre weight kg/hL


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Infected plants plants/plot


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Loose smut control %


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Protein %


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Screenings %


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Observed trial site soil information
Trial site soil testing
Site Depth Type pH EC P K N A OC CAT
West Wubin, WA 0 - 10cm Sandy loam 5.20
West Wubin, WA 10 - 30cm Sandy loam 4.40
Soil conditions
Trial site Soil texture
West Wubin, WA Sandy loam
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
West Wubin, WA Kandosol
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 West Wubin WA
2013 148.3mm
2012 160.8mm
2011 157.3mm
2010 118.6mm
2009 131.6mm
2008 163.5mm
2007 146.1mm
2006 147.6mm
2005 138.8mm
2004 130.0mm
2003 127.4mm
2002 82.4mm
2001 91.0mm
2000 170.5mm
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

West Wubin WA 2013


Observed climate information

Rainfall trial gsr (mm) 228mm

Derived climate information

West Wubin WA

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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

2013 trial report