Crop Rotations and Herbicide Inputs for Brome Grass Management in Wheat-Based Systems in Western Australia

2024

Research organisations

Funding sources

Trial details

Researcher(s)	Catherine Borger Arslan Peerzada
Contact email	arslan.peerzada@dpird.wa.gov.au
Year(s)	2024
Contributor	Liebe Group
Trial location(s)	Jibberding, WA
Further information	View external link

Crop Rotations and Herbicide Inputs for Brome Grass Management in Wheat-Based Systems in Western Australia locations

Aims

To compare different combinations of crop sequences and intensities of herbicide programs for control of in-crop brome grass infestations and soil seed banks in western grain regions.

Key messages

Barley reduced seed production of brome grass (i.e. great brome, Bromus diandrus Roth) in the first year, demonstrating superior weed suppression compared to wheat and lupins.
Lupins offered limited reproductive suppression (i.e. brome still had high seed set), despite initially suppressing weed density in addition to herbicide application.

Lead research organisation	Department of Primary Industries and Regional Development WA
Host research organisation	N/A
Trial funding source	GRDC UOA2303-006RTX
Trial funding source	DPIRD WA
Related program	N/A
Acknowledgments	This is a GRDC-invested project, UOA2303-006RTX, Effective control of brome grass in the southern and western cropping zones. This site is managed by the Liebe Group as one of two sites across the Wheatbelt that aim to evaluate the crop rotation benefits of a two or three-year break on the management of brome grass. Thanks to Living Farm for their assistance in implementing the trial.
Other trial partners	Not specified

Download the trial report to view additional trial information

Method

Crop types	Cereal (Grain): Barley Cereal (Grain): Wheat Grain Legume: Lupins
Treatment type(s)	Crop : Type Crop : Nutrition Herbicide : Type
Trial type	Experimental
Trial design	Replicated

Jibberding 2024 Barley

Sow rate or Target density	90 kg/ha/ 140 plants/m2
Sow date	17 May 2024
Harvest date	1 November 2024
Plot size	10m x 2m
Plot replication	4
Fertiliser	17/05/2024 Urea (50 kg/ha) – cereal only 17/05/2024 Macro Pro Extra (100 kg/ha) 09/07/2024 UAN (100 L/ha)
Herbicide	17/05/2024 Nufarm WeedMaster DST (2 L/ha)
Insecticide	17/05/2024 Chlorpyrifos 500 1 L/ha 17/05/2024 Bifenthrin 100EC (100 ml/ha)

Jibberding 2024 Wheat

Sow rate or Target density	80 kg/ha/ 180 plants/m2
Sow date	17 May 2024
Harvest date	1 November 2024
Plot size	10m x 2m
Plot replication	4
Fertiliser	17/05/2024 Urea (50 kg/ha) – cereal only 17/05/2024 Macro Pro Extra (100 kg/ha) 09/07/2024 UAN (100 L/ha)
Herbicide	17/05/2024 Nufarm WeedMaster DST (2 L/ha)
Insecticide	17/05/2024 Chlorpyrifos 500 1 L/ha 17/05/2024 Bifenthrin 100EC (100 ml/ha)

Jibberding 2024 Lupins

Sow rate or Target density	100 kg/ha/ 45 plants/m2
Sow date	17 May 2024
Harvest date	1 November 2024
Plot size	10m x 2m
Plot replication	4
Fertiliser	17/05/2024 Urea (50 kg/ha) – cereal only 17/05/2024 Macro Pro Extra (100 kg/ha) 09/07/2024 UAN (100 L/ha)
Herbicide	17/05/2024 Nufarm WeedMaster DST (2 L/ha)
Insecticide	17/05/2024 Chlorpyrifos 500 1 L/ha 17/05/2024 Bifenthrin 100EC (100 ml/ha)

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
Jibberding, WA	Not specified

Derived trial site soil information

Australian Soil Classification Source: ASRIS

Trial site	Soil order
Jibberding, WA	Hydrosol

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.

Jibberding WA

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