Effect of sowing date on phenology and grain yield of twelve canola varieties – Wagga Wagga 2016

2016

Research organisaton
Funding sources

Trial details

Researcher(s) Warren Bartlett
Rohan Brill
Sharni Hands
Danielle Malcolm
Year(s) 2016
Contributor Department of Primary Industries NSW
Trial location(s) Wagga Wagga, NSW
Further information View external link
Effect of sowing date on phenology and grain yield of twelve canola varieties – Wagga Wagga 2016 locations
Aims

This experiment was designed to test the response of 12 canola varieties with varying phenologies and plant type to early sowing, compared with the more traditional sowing date in late April.
 

Key messages

• Sowing canola early highlights the inherent differences in phenology.

• Slow-developing varieties maintained consistent yield across all sowing dates (late March to late April), whereas fast-developing varieties achieved their highest yield from late April sowing.

• Early flowering (from sowing fast-developing varieties early) reduced yield potential and exposed those treatments to greater disease pressure.

Lead research organisation N/A
Host research organisation N/A
Trial funding source GRDC CSP00187
Trial funding source DPI NSW
Trial funding source CSIRO
Related program Optimised Canola Profitability Project
Acknowledgments

This experiment was part of the project ‘Optimised Canola Profitability’, CSP00187, 2014–19, with joint investment by NSW DPI, CSIRO and GRDC. Thank you to the site cooperator Ben Beck and to technical support from Jess Simpson and Hayden Petty.


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

Method

Crop type Oilseed: Canola
Treatment type(s)
  • Crop: Variety
  • Sowing: Timing
Trial type Experimental
Trial design Unknown

Wagga Wagga 2016

Sow date Multiple - please see report
Harvest date Unknown
Plot size Not specified
Plot replication Not specified
Fertiliser

Starter fertiliser: 100 kg/ha mono-ammonium phosphate (11% nitrogen, 22.7% phosphorus, 2% sulfur), treated with 2.8 L/t flutriafol (500 g/L)

Nitrogen applied: Urea (46% nitrogen) 217 kg/ha, 28 March (broadcast and incorporated by plot seeder)
Urea 217 kg/ha, 8 June (broadcast)

Other trial notes

This research paper is an extract from the publication Southern NSW Research Results 2017, available at
https://www.dpi.nsw.gov.au/agriculture/broadacre-crops/guides/publications/southern-nsw-research-results

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
Wagga Wagga, NSW Red chromosol
Derived trial site soil information
Australian Soil Classification Source: ASRIS
Trial site Soil order
Wagga Wagga, NSW 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 Wagga Wagga NSW
2016 601.2mm
2015 582.0mm
2014 544.9mm
2013 539.6mm
2012 584.2mm
2011 598.4mm
2010 615.1mm
2009 547.6mm
2008 555.6mm
2007 504.5mm
2006 527.0mm
2005 574.3mm
2004 545.4mm
2003 523.7mm
2002 544.2mm
2001 559.1mm
2000 499.5mm
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.

Wagga Wagga NSW

CAUTION: Trial site locality unknown; Climate data sourced from Department of Primary Industries NSW office location
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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: 07-06-2023 12:21pm AEST