Effect of row spacing, seedbed utilisation and pre-emergence herbicides on ryegrass management in wheat (Minnipa, SA)

2018

Research organisaton
Funding source

Trial details

Researcher(s) Gurjeet Gill and Ben Fleet
Year(s) 2018
Contributor School of Agriculture, Food and Wine - The University of Adelaide
Trial location(s) Site 3, Minnipa, SA
Effect of row spacing, seedbed utilisation and pre-emergence herbicides on ryegrass management in wheat (Minnipa, SA) locations
Aims

To investigate the effects of crop row spacing, seedbed utilisation and pre-emergent herbicides on ryegrass management in wheat.

Key messages

The herbicide treatment had a significant effect on ARG density (P<0.001) in this field trial at Minnipa. Favourable rain events in June were highly suitable for the activity of both pre-emergent herbicides investigated in this trial. Averaged across the row spacing and SBU treatments, Boxer Gold and Sakura + Avadex reduced ARG plant density by 88% and 90%, respectively. The density of ARG spikes was significantly influenced by the herbicide treatment.  Boxer Gold reduced ARG spike density by 74% compared to the untreated control, whereas Sakura + Avadex caused 85% reduction in ARG spike density. The density of ARG spikes in Sakura + Avadex were significantly lower than in the Boxer Gold treatment. ARG seed production was also significantly affected by the herbicide treatment (P<0.001) but not by wheat row spacing (P=0.272) or seed boot design (P=0.994). ARG produced 5740 seeds/m2 in the untreated control, which was reduced by 74% by Boxer Gold and 86% by the mixture of Sakura + Avadex. Presence of ARG at 190 plants/m2 in the untreated control, reduced wheat grain yield by 11% compared to Boxer Gold or 8% compared to Sakura + Avadex. However, it was still profitable to control ARG with effective herbicide treatments. Based on cash grain price of Australian Premium Wheat (APW) of $400/t in 2018, Boxer Gold would be expected to increase the gross margin by $68/ha as compared $12/ha increase for Sakura + Avadex.

Lead research organisation School of Agriculture, Food and Wine - The University of Adelaide
Host research organisation N/A
Trial funding source GRDC 9175134
Related program GRDC - Weeds
Acknowledgments

We thank GRDC for funding the project and SARDI, Minnipa (Amanda Cook) for local collaboration. We also thank Bruce Heddle for providing an excellent field site for this research.


Other trial partners SARDI, Minnipa
Download the trial report to view additional trial information

Method

Crop type Wheat
Treatment type(s)
  • Herbicide: Type
  • Sowing: Method
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Minnipa 2018

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
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 3, Minnipa, SA Not specified
Derived trial site soil information
Australian Soil Classification Source
Trial site Soil order
Site 3, Minnipa, SA Anthroposol
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

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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.

Site 3, Minnipa SA

NOTE: Exact trial site locality unknown - Climate data may not be accurate
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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: 20-09-2019 16:29pm AEST