Comparison of pre-emergent herbicides for annual ryegrass control in wheat at four locations across WA in 2016


Research organisatons
Funding source

Trial details

Researcher(s) Rick Horbury (Bayer Crop Science)
Year(s) 2016
Contributor West Midlands Group
Trial location(s) Site 1, Cunderdin, WA
Comparison of pre-emergent herbicides for annual ryegrass control in wheat at four locations across WA in 2016 locations
Not specified
Key messages

Over all four trials both Sakura treatments maintained a positive $ROI/ha with Sakura + trifluralin ($78.50) slightly ahead on average $ROI/ha to the standalone Sakura ($73.48)

Sakura 118 g/ha recorded a $55.08 increase in $ROI/ha over Boxer Gold across the four trials. Boxer Gold $ROI was generally in line with that of the prosulfocarb treatments in three of the sites, except from Waddy Forest where prosulfocarb 2.5 L/ha recorded a higher yield. Why this occurred is not clear as results were cross checked back with the contractor to ensure there was not a transcription error.

Trifluralin, due to its poor weed control, especially at Cunderdin, returned a slight positive $ROI/ha ($7.20) across the four trials.

All four sites to some extent were affected by frost which may have affected yield outcomes.

Getting weed control right is the key to ensuring the longevity of any herbicide but it also allows the crop it’s best possible chance of achieving its yield potential. Using a program of effective knockdowns and a product with a long residual activity like Sakura can deliver higher yields and returns across a variety of soil types and locations as seen across the four trials conducted during the 2016 season.


Lead research organisation Bayer CropScience
Host research organisation West Midlands Group
Trial funding source Bayer
Related program N/A

To the grower’s (Patton, McIlroy, Butcher and Syme families) that each hosted one of the trials, thank you for all your work in sowing and maintaining the sites and your understanding when hosting field walks. Thanks to Living Farm for the harvest of Waddy Forest, Pithara and Cunderdin, and DAFWA at Nugadong. To Michael Macpherson from Imtrade Australia, thanks for the use of your early season assessments and allowing your trial to be included in this multi-site review.

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


Crop type
Treatment type(s)
  • Herbicide
Trial type Experimental
Trial design Replicated

Cunderdin 2016

Sow rate or Target density 70kg/ha
Sowing machinery

JD with Consera Pak Knife points and press wheels.

Sow date 6 May 2016
Harvest date Not specified
Plot size 2m x 36m
Plot replication 3
Fertiliser <p>Agras 50 kg/ha plus Flexi-N 40 L/ha in furrow.&nbsp;</p>
Herbicide <p>21 April: Roundup Ultra 1 L/ha plus Estercide 680 300mL/ha plus SOA L1700</p> <p>6 May: Roundup Attack 2L/ha</p>
Fungicide <p>Jaguar 700 mL/ha plus Flexi-N 40 L/ha</p>
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
Site 1, Cunderdin, WA Deep sandy duplex
Derived trial site soil information
Australian Soil Classification Source
Trial site Soil order
Site 1, Cunderdin, WA Sodosol
National soil grid Source
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



Site 1, Cunderdin WA 2016

Observed climate information

Rainfall trial gsr (mm) 248mm

Derived climate information

Site 1, Cunderdin WA


Some data on this site is sourced from the Bureau of Meteorology

SILO weather estimates sourced from
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.