Management of grazing crops to reduce the incidence of frost in the Albany Port (Lake Grace)

2012

Research organisaton
Funding source

Trial details

Researcher(s) Steve Curtin (ConsultAg)
Ben Whisson (ConsultAg)
Year(s) 2012
Contributor ConsultAg
Trial location(s) Lake Grace, WA
Management of grazing crops to reduce the incidence of frost in the Albany Port (Lake Grace) locations
Aims

To value-add to grazing crops as frost mitigation tool by investigating the interaction of time x height of (simulated) grazing on wheat crop recovery and delay in flowering window.

Key messages

Later grazing may have benefits in severely frost prone areas, but in the event that there is no frost, yield will be compromised. Grazing has successfully delayed flowering date and for the early grazing it would appear that there is roughly a 1 day delay in flowering for 2 days grazing.

Lead research organisation N/A
Host research organisation N/A
Trial funding source GRDC SDI00007
Related program Regional Cropping Solutions Network
Acknowledgments N/A
Other trial partners Not specified
Download the trial report to view additional trial information

Method

Crop type Cereal (Grain): Wheat
Treatment type(s)
  • Grazing: Rate
  • Grazing: Timing
Trial type Experimental
Trial design Replicated

Lake Grace 2012

Sow rate or Target density 60kg/ha sowing
Sow date 14 May 2012
Harvest date Not specified
Plot size Not specified
Plot replication 3
Fertiliser

60kg/ha Megacrop + 12kg/ha Sulphate of Potash IBS

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Download results

Trial results Table 1

@T1: At end @T2: Last period
# Variety
Treatment 1
Treatment 2
Head length (cm) Head number of ungrazed control (%) Grain yield (t/ha) Crop height (cm) Flowering delay after control (no. days) Head abundance (heads/m2) Control (%) Dry matter grazed (kg/ha) Potential grains (no./head) Dry matter (kg/ha) Growth rate (kg/day)
1 Yitpi Nil (Control) 0 days grazing 66.5 100 0.2 75 249 100 0 39.7 2330 93
1 Yitpi Grazed late 20 days grazing 60.3 92 0.38 61 12 228 190 710 32.5 270
1 Yitpi Grazed late 10 days grazing 52.9 94 0.33 59 10 233 166 668 30.2 283
2 Yitpi Grazed early 10 days grazing 70 93 0.36 72.5 4 231 180 122 37.3 1257 96
2 Yitpi Grazed early 20 days grazing 71.2 84 0.49 67.5 10 208 245 244 39.6 797 62
3 Yitpi Grazed early 30 days grazing 71.9 84 0.52 61 13 210 259 425 38.2 552 43
3 Yitpi Grazed early 40 days grazing 64.5 73 0.42 53 15 182 210 692 32.5 267 21
4 Yitpi
4 Yitpi
4 Yitpi
5 Yitpi
5 Yitpi
5 Yitpi
6 Yitpi
6 Yitpi
6 Yitpi
7 Yitpi
7 Yitpi
7 Yitpi

Grain yield t/ha


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Control %


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Crop height cm


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Dry matter kg/ha


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Dry matter grazed kg/ha


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Flowering delay after control no. days


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Growth rate kg/day


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Head abundance heads/m2


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Head length cm


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Head number of ungrazed control %


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Potential grains no./head


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Lake Grace, WA Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Lake Grace, WA Sodosol
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 Lake Grace WA
2012 534.1mm
2011 521.0mm
2010 505.5mm
2009 519.6mm
2008 537.0mm
2007 513.8mm
2006 541.7mm
2005 537.7mm
2004 534.7mm
2003 540.5mm
2002 517.0mm
2001 506.2mm
2000 529.2mm
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.

Lake Grace 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.

Trial report and links

2012 trial report