The impact of grazing on grain yield of canola

2012
CC BY 4.0

Research organisaton
Funding source

Trial details

Researcher(s) Simon Falkiner (Falkiner Ag)
Gina Kreeck (SFS)
Cam Nicholson (Nicon Rural Services)
Year(s) 2012
Contributor Southern Farming Systems
Trial location(s) Lake Bolac, VIC
The impact of grazing on grain yield of canola locations
Aims

To reports on the results of our “best bet” approach to making grazing canola work in our unique region. 

Key messages
  • Sowing time is essential for dry matter production and yield preservation 
  • Poor growing conditions, the winter doldrums, during recovery from grazing seem to reduce final grain yield. 
  • Canola appears to be more sensitive to grazing than cereals, especially, but not solely, under adverse weather and grazing conditions.
  • With a traditional a sowing time, mid May, dry matter production levels didn’t reach a level that warrant taking the risk of impacting on grain yield when compared to grazing cereals.
  • Even following established grazing protocols, that work north of the divide, grazing reduced grain yield for most varieties. 
  • This trend has been the case over the 3 years we have conducted grazing canola trials in SW Victoria. 
  • This trial suggests that yield loses associated with grazing are less with the newly released winter habit hybrids Hyola 930 and Hyola 971 when compared with most spring and winter types of canola.
  • Initial work is suggesting that spring sown winter habit canola varieties may reverse the decline in yield associated with grazing and generate a large amount of feed out of season.
Lead research organisation N/A
Host research organisation N/A
Trial funding source GRDC
Related program N/A
Acknowledgments

This project was funded by the GRDC.
 


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

Method

Crop type Oilseed: Canola
Treatment type(s)
  • Crop: Variety
  • Grazing: Application Method
Trial type Experimental
Trial design Replicated

Lake Bolac 2012

Sow date 15 May 2012
Harvest date Not specified
Plot size 12m x 1.54m
Plot replication 4
Download the trial report to view additional method/treatment information

Download results

Trial results Table 1

# Variety
Treatment 1
Grain yield (t/ha)
1 Taurus C Ungrazed 2.2
2 Hyola930C Ungrazed 2.7
3 Hyola 971 Cf Ungrazed 3.2
4 46Y83 CF Ungrazed 3
5 Jardee TT Ungrazed 2.5
6 Garnet C Ungrazed 3.2
7 Crusher TT Ungrazed 2.9
8 Hyola 502 Ungrazed 3.4
9 Taurus C Grazed 1.6
10 Hyola930C Grazed 2.6
11 Hyola 971 Cf Grazed 2.6
12 46Y83 CF Grazed 1.5
13 Jardee TT Grazed 2.4
14 Garnet C Grazed 2.2
15 Crusher TT Grazed 1.8
16 Hyola 502 Grazed 1.8

Grain yield t/ha


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Observed trial site soil information
Trial site soil testing
Not specified
Soil conditions
Trial site Soil texture
Lake Bolac, VIC Not specified
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Lake Bolac, VIC 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 Bolac VIC
2012 507.9mm
2011 532.6mm
2010 532.7mm
2009 476.1mm
2008 477.4mm
2007 474.0mm
2006 461.2mm
2005 491.3mm
2004 474.1mm
2003 482.7mm
2002 463.3mm
2001 466.9mm
2000 459.2mm
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 Bolac VIC

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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: 28-10-2019 11:19am AEST