| Researcher(s) |
Catherine Borger Harmohinder Dhammu Arslan Peerzada |
|---|---|
| Contact email | harmohinder.dhammu@dpird.wa.gov.au |
| Contact phone | 0403156942 |
| Year(s) | 2024 |
| Contributor | Department of Primary Industries and Regional Development WA |
| Trial location(s) |
Highbury, WA
|
| Related trials |
To investigate the impact of preventing brome grass seed set over consecutive seasons on its population management.
This trial is designed to mimic systems modelled in Brome RIM, while assessing a rotation with break crops that can eliminate great brome.
1. CoAXium® barley system using quizalofop 37g/ha (e.g., Aggressor® AX at 200mL/ha) on Titan AX barley at the 3–4 leaf stage provided 100% barley grass and 94% brome grass control.
2. Clearfield® barley system using Imazamox 24.75g + imazapyr 11.25g/ha (e.g., Intervix® or Intercept® at 750 mL/ha) on Maximus CL barley at the 5-leaf stage achieved 92% control of barley grass and 65% control of brome grass. Although control was not as high as with quizalofop, the surviving weeds were severely stunted with root pruning.
3. In paddocks with mixed populations of brome grass and ryegrass, effective ryegrass herbicides are essential to control ryegrass populations, particularly those resistant to Group 1 and 2 herbicides such as quizalofop and imazamox + imazapyr.
| Lead research organisation |
Department of Primary Industries and Regional Development WA |
|---|---|
| Host research organisation |
Facey Group |
| Trial funding source | GRDC UOA2303-006RTX |
| Related program |
GRDC Crop Protection - Weeds |
| Acknowledgments |
The research undertaken as part of this project is made possible by the significant contributions of growers through both trial cooperation and the support of the GRDC, the authors would like to thank them for their continued support. Thanks to the Facey Group and the growers for providing the trial sites and supporting extension efforts, Nerys Wilkins and the DPIRD Field Research Operations team for their technical assistance, and Andrew Van Burgel (biometrician) for data analysis. Thanks to Dr Arslan Peerzada and Dr Helen Spafford (DPIRD) for reviewing this paper. |
| Other trial partners | Not specified |
| Crop type | Pasture: Mixed species |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Randomised,Replicated |
| Sowing machinery |
Cone seeder fitted with knife points and press wheels, seeded at 3–4 cm depth, with 22 cm row spacing. |
|---|---|
| Sow date | 24 May 2024 |
| Harvest date | 26 November 2024 |
| Trial design method | CRD Completely Randomised Design |
| Total plots | 28 |
| Plot size | 2m x 20m |
| Plot replication | 4 |
| Psuedoreplication | N |
| Plot randomisation | N |
| Herbicide |
Crops and herbicide treatments
Wheat cv. Scepter - Trifluralin followed by pyroxsulam Barley cv. Titan AX - Quizalofop-p-ethyl Barley cv. Maximus CL - Imazamox + imazapyr Barley cv. Titan AX - Trifluralin + metribuzin followed by quizalofop-p-ethyl Barley cv. Maximus CL - Trifluralin + metribuzin followed by imazamox + imazapyr |
| # | Variety |
Treatment 1
|
Ryegrass density (plants/m2) | Grain yield (t/ha) | Brome grass density (plants/m2) | Tillers (number/plant) |
|---|---|---|---|---|---|---|
| 1 | █ Wheat cv. Scepter | █ Trifluralin 960g (pre) followed by pyroxsulam 215g (Z13-31) | 48 | 0.155 | 1814 | 1 |
| 2 | █ Barley cv. Titan AX | █ Quizalofop-p-ethyl 37g (Z12-Z25) | 760 | 0.65 | 39 | 2 |
| 3 | █ Barley cv. Maximus CL | █ Imazamox 24.75g + imazapyr 11.25g (Z15-Z31) | 565 | 0.769 | 831 | 2 |
| 4 | █ Barley cv. Titan AX | █ Trifluralin 960g + metribuzin 101g (pre) followed by quizalofop-p-ethyl 37g (Z12-Z25) followed by glyphosate 940.5g (Z87) | 113 | 1.302 | 178 | 3 |
| 5 | █ Barley cv. Maximus CL | █ Trifluralin 960g + metribuzin 101g (pre) followed by imazamox 24.75g + imazapyr 11.25 g (Z15-Z31) followed by glyphosate 940.5g (Z87) | 126 | 1.577 | 421 | 3 |
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
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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.
