Interaction of time of sowing and weed management of lupins

2006
CC BY 4.0

Research organisaton

Trial details

Researcher(s) Martin Harries (DAFWA)
Jo Walker (DAFWA)
Year(s) 2006
Contributor Liebe Group
Trial location(s) Buntine, WA
Interaction of time of sowing and weed management of lupins locations
Aims
  • To better understand the tradeoffs between lupin yield and weed management with delayed sowing. 
  • To demonstrate shielded spraying in controlling large weed populations, which often arise after dry sowing.
Key messages

Dry sowing resulted in the poorest weed control at seeding and as a consequence this treatment was the weediest later in the year.

Lead research organisation N/A
Host research organisation N/A
Related program N/A
Acknowledgments

These trials were done in partnership with Liebe and Mingenew Irwin groups.

Thanks to GRDC for financial support of the lupin agronomy program.

Thanks also to the Department of Agriculture Wongan Hills and Geraldton Reserach Support Units.

  • Paper reviewed by Wayne Parker.

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

Method

Crop type Grain Legume: Lupins
Treatment type(s)
  • Herbicide: Application Method
  • Sowing: Timing
Trial type Experimental
Trial design Replicated

Buntine 2006

Sow date 28 April 2006
Harvest date Not specified
Plot size 2m x 18m
Plot replication 4
Fertiliser

80 kg/ha Super deep banded below the row

Herbicide

Glyphosate 1.0 L/ha and simazine 1.5 L/ha immediately prior to each time of sowing. No post emergent herbicides were applied.

Other trial notes

Sowing Dates:28/4/06 (Dry), 17/5/06 (On the break, the day after 14.5 mm), 30/5/06

Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

@T1: Pre seeding @T2: 3 August
# Treatment 1
Treatment 2
Treatment 3
Ryegrass dry matter (g/m2) Plant count (no. of plants) Lupin dry matter (g/m2) Plant weight (g) Establishment plants (plants/m2) Weeds (plants/m2) Weeds (plants/m2)
1 10-14 25 Ryegrass 5.8 152 1.4
2 10-14 25 58.9 12.8 1.5
2 10-14 25 Lupins 151.5 1.4
2 Dry 25 Ryegrass 16.1 319 1.8
3 Dry 25 43.2 1.3 22
4 Dry 25 Lupins 205 2.5
5 On the break 25 Ryegrass 11.6 147 2.3
5 On the break 25 34.5 9.5 10.3
5 On the break 25 Lupins 107.5 2.1
6 10-14 50 Ryegrass 6 157 1.6
7 10-14 50 52.8 12 7
8 10-14 50 Lupins 132.5 1.5
8 Dry 50 Ryegrass 15.8 356 1.4
8 Dry 50 39.9 1.3 23.8
9 Dry 50 Lupins 138.5 2.1
10 On the break 50 Ryegrass 14 176 2.7
11 On the break 50 28.8 10 16.3
11 On the break 50 Lupins 125 2.6
11
12
13
14
14
14
15
16
17
17
17
18

Establishment plants plants/m2


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Lupin dry matter g/m2


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Plant count no. of plants


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Plant weight g


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Ryegrass dry matter g/m2


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Weeds plants/m2


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Observed trial site soil information
Trial site soil testing
Site Depth Type pH EC P K N A OC CAT
Buntine, WA 0 - 10cm Loamy Clay 5.00
Buntine, WA 10 - 30cm Loamy Clay 5.80
Soil conditions
Trial site Soil texture
Buntine, WA Loamy clay
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Buntine, WA Kandosol
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 Buntine WA
2006 279.4mm
2005 252.1mm
2004 257.2mm
2003 275.7mm
2002 235.0mm
2001 272.4mm
2000 336.4mm
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

Buntine WA 2006


Observed climate information

Rainfall trial gsr (mm) 124mm

Derived climate information

Buntine WA

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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.