Managing clethodim resistant ryegrass in canola with crop competition and pre-emergent herbicides

2016

Research organisatons
Funding source

Trial details

Researcher(s) Sam Kleemann, Gurjeet Gill and Chris Preston (University of Adelaide)
Year(s) 2016
Contributor Hart Field Site Group
Trial location(s) , SA
, SA
Managing clethodim resistant ryegrass in canola with crop competition and pre-emergent herbicides locations
Aims

To investigate the effect of crop competition and different pre-emergent herbicides and their mixtures on annual ryegrass control in canola.

Key messages
  • Ryegrass seed production was reduced by more than 50% for the hybrid cultivar compared to open-pollinated.
  • Pre-simazine or pre-propyzamide/simazine with post-atrazine, were more effective than herbicide strategies that relied just on pre-emergent herbicides.
  • Combination of effective pre-emergent herbicides with competitive canola cultivars of canola can significantly reduce ryegrass seed set.
Lead research organisation School of Agriculture, Food and Wine - The University of Adelaide
Host research organisation N/A
Trial funding source GRDC UCS00020
Related program N/A
Acknowledgments

We are grateful to GRDC (Grains Research and Development Corporation) for providing project funding (project UCS00020), PacSeeds for supplying seed, and Jerome Martin and Alicia Merriam for providing technical support.


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

Method

Crop type Canola
Treatment type(s)
  • Herbicide
  • Herbicide: Timing
  • Variety
  • Variety: Type
Trial type Experimental
Trial design Randomised,Replicated,Blocked

2016

Sow date Not specified
Harvest date Not specified
Plot size Not specified
Plot replication Not specified

2016

Sow date 14 May 2016
Harvest date Not specified
Plot size Not specified
Plot replication Not specified
Download the trial report to view additional method/treatment information

Download results

Trial results Roseworthy

@T1: 6 weeks after sowing @T2: 12 weeks after sowing
# Variety
Grain yield (t/ha) Ryegrass density (plants/m2) Ryegrass density (plants/m2)
1 ATR-Stingray 0.17 559 77
1 ATR-Stingray 0.24 210 437
1 ATR-Stingray 0.45 176 325
2 ATR-Stingray 0.97 214 179
2 ATR-Stingray 0.54 235 386
2 ATR-Stingray 0.99 167 127
3 ATR-Stingray 0.96 568 671
3 ATR-Stingray 1.07 253 417
3 ATR-Stingray 0.94 185 299
4 ATR-Stingray 1.7 194 140
4 ATR-Stingray 1.12 240 321
4 ATR-Stingray 1.41 227 182
5 ATR-Stingray
5 ATR-Stingray
5 ATR-Stingray
6 ATR-Stingray
6 ATR-Stingray
6 ATR-Stingray
7 Hyola559TT
7 Hyola559TT
7 Hyola559TT
8 Hyola559TT
8 Hyola559TT
8 Hyola559TT
9 Hyola559TT
9 Hyola559TT
9 Hyola559TT
10 Hyola559TT
10 Hyola559TT
10 Hyola559TT
11 Hyola559TT
11 Hyola559TT
11 Hyola559TT
12 Hyola559TT
12 Hyola559TT
12 Hyola559TT

Grain yield t/ha


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Ryegrass density plants/m2


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Trial results Hart

@T1: @T2:
# Variety
Grain yield (t/ha) Ryegrass density (plants/m2) Ryegrass density (plants/m2)
1 ATR Bonito 1.65 1.55 1.63
1 ATR Bonito 1.42 1.36 1.36
1 ATR Bonito
2 Hyola559TT
2 Hyola559TT
2 Hyola559TT

Grain yield t/ha


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Ryegrass density plants/m2


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
, SA Not specified
, SA Not specified
Derived trial site soil information
Australian Soil Classification Source
Trial site Soil order
, SA Anthroposol
, SA Chromosol
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.

SA

SA

SA

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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 last modified: 09-12-2019 19:23pm AEST