The information contained in this publication is based on knowledge and understanding at the time of writing (June 2017) and may not be accurate, current or complete. The State of New South Wales (including the NSW Department of Industry), the author and the publisher take no responsibility, and will accept no liability, for the accuracy, currency, reliability or correctness of any information included in the document (including material provided by third parties). Readers should make their own inquiries and rely on their own advice when making decisions related to material contained in this publication. The product trade names in this publication are supplied on the understanding that no preference between equivalent products is intended and that the inclusion of a product name does not imply endorsement by the department over any equivalent product from another manufacturer.
| Researcher(s) |
Warren Bartlett (NSW DPI) Rohan Brill (NSW DPI) Sharni Hands (NSW DPI) John Kirkegaard (NSW DPI) Julianne Lilley (CSIRO) Danielle Malcolm (NSW DPI) |
|---|---|
| Year(s) | 2016 |
| Contributor | Department of Primary Industries NSW |
| Trial location(s) |
Wagga Wagga, NSW
|
| Further information | View external link |
The aim of this experiment was to determine the Critical Growth Period (CGP) of field-grown canola so that sowing date and variety can be selected to ensure that the CGP (the period when the crop is most sensitive to environmental stresses) occurs when the growing environment is likely to be the most favourable (a balance between adequate moisture, heat and frost stress, and adequate solar radiation).
• All crops go through stages of development known as critical growth periods (CGP) where stress can reduce yield potential more than at any other time.
• Shading can be used to induce defined periods of stress on a crop to identify CGP.
• The critical growth period for canola was identified as approximately 100–400 degree days (°C.days) after the start of flowering (defined as 50% plants with one open flower).
• There was minimal effect of pre- and post-flowering stress on grain yield.
| 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 (NSW DPI) and Mel Bullock and Tim Hogarty (CSIRO). |
| Other trial partners | Not specified |
| Crop type | Oilseed: Canola |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Unknown |
| Sow date | 2 May 2016 |
|---|---|
| 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 then incorporated by plot seeder) |
| Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2017, available at |
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.
