Effect of combinations of sowing time, seed rate and herbicides on ryegrass management in faba beans

2019
CC BY 4.0

Research organisatons
Funding source

Trial details

Researcher(s) Ben Fleet
Gurjeet Gill
Contact email gurjeet.gill@adelaide.edu.au
Contact phone 08 83137744
Year(s) 2019
Contributor School of Agriculture, Food and Wine - The University of Adelaide
Trial location(s) Roseworthy campus, University of Adelaide, SA
Effect of combinations of sowing time, seed rate and herbicides on ryegrass management in faba beans locations
Aims

This field trial at Roseworthy was undertaken to investigate factorial combinations of sowing time, seed rate and herbicides on the management of annual ryegrass in faba beans.

Key messages

A field trial was undertaken in 2019 to investigate combinations of faba bean sowing time, seed rate and herbicide treatments to control annual ryegrass. ARG plant density was significantly influenced by the time of sowing (P<0.001), herbicide treatment (P<0.001) and the interaction between the time of sowing and herbicide (P=0.012). The 3 week delay in seeding faba beans had no impact on ARG plant density, as shown by the similar ARG density in the simazine + trifluralin treatment. However, POST clethodim and butroxydim had much greater efficacy in the 2nd time of sowing (TOS 2) than in the TOS 1. The same trend was evident in ARG seed set when crop seeding was delayed. In the Simazine + Trifluralin (IBS) treatment there was only an 8% reduction in ARG seed production when seeding was delayed. However, Simazine + Trifluralin (IBS) fb Clethodim had a 62% reduction in ARG seed production in TOS 2 than in TOS 1. ARG seed production was also strongly influenced by faba bean seed rate (P<0.001). The high faba bean seed rate had 43% less ARG seed set compared to the low faba bean seed rate. This result indicates that faba beans can be highly competitive with ARG at the high seed rate. Faba bean grain yield was significantly influenced by crop seed rate (P<0.001), with the high seed rate yielding 14% and 30% higher than the medium and low seed rates, respectively. Herbicide treatment had a significant effect on faba bean grain yield. When POST clethodim was applied after the Simazine + Trifluralin IBS (1.55 t/ha), faba bean grain yield improved by 43% to 2.211 t/ha. Crop yield responses to herbicides treatments were consistent with their efficacy on ARG, which highlights the sensitivity of faba bean grain yield to weed competition. This study has shown that at high plant density, faba beans can provide a significant suppression of ARG. However, faba beans were very intolerant to weeds as shown by the large yield losses. Higher seed rates, are important to both increase competitiveness of faba beans in suppressing ARG, and to also maintain grain yield. However, fungal disease management would need to be monitored and managed effectively.

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

We thank GRDC for providing funds for this research project.


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

Method

Crop types Grain Legume: Faba beans Weed: Ryegrass
Treatment type(s)
  • Herbicide: Type
  • Sowing: Rate
  • Sowing: Timing
Trial type Experimental
Trial design Randomised,Replicated,Blocked

Roseworthy campus, University of Adelaide 2019 Faba beans

Sow date 7 May and 31 May
Harvest date Not applicable
Plot size Not specified
Plot replication Not specified
Psuedoreplication Not specified
Other trial notes

Please refer to the attached PDF document for detailed information about the methods, results and discussion.

Roseworthy campus, University of Adelaide 2019 Ryegrass

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Psuedoreplication Not specified
Other trial notes

Please refer to the attached PDF document for detailed information about the methods, results and discussion.

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
Roseworthy campus, University of Adelaide, SA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Roseworthy campus, University of Adelaide, SA Chromosol
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 Roseworthy campus, University of Adelaide SA
2019 198.1mm
2018 258.5mm
2017 341.1mm
2016 299.8mm
2015 264.9mm
2014 317.0mm
2013 284.7mm
2012 298.5mm
2011 342.9mm
2010 268.3mm
2009 215.9mm
2008 201.8mm
2007 245.4mm
2006 280.7mm
2005 295.1mm
2004 269.1mm
2003 262.7mm
2002 264.9mm
2001 301.9mm
2000 305.9mm
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

Derived climate information

No observed climate data available for this trial.
Derived climate data is determined from trial site location and national weather sources.

Roseworthy campus, University of Adelaide SA

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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

2019 trial report



Trial last modified: 20-03-2023 16:27pm AEST