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| Researcher(s) |
Warren Bartlett Danielle Malcolm Don McCaffery |
|---|---|
| Year(s) | 2020 |
| Contributor | Department of Primary Industries NSW |
| Trial location(s) |
Wagga Wagga, ACT
|
| Further information | View external link |
An experiment at Wagga Wagga in 2020 examined the phenology of 34 commercial and newly released varieties sown on two dates.
• Canola varieties varied markedly in the time it took from sowing/emergence to the start of flowering.
• Warmer than average temperatures throughout May and June resulted in early sown varieties meeting their thermal requirement and starting to flower earlier than usual.
Canola varieties differ in their flowering times depending on where and when they are sown. Understanding how a variety responds to thermal time and photoperiod and therefore knowing a variety’s phenology will influence the decision on when to sow a variety to avoid flowering when there is an increased risk of frost, disease or moisture stress. Matching a variety’s phenology to its sowing time is critical for flowering to start during the optimum flowering period for each region, which is when environmental and disease risks are minimised for the highest yield potential. More information on sowing windows to suit variety phenology can be found in NSW DPI’s Winter crop variety sowing guide.
| 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 ‘Optimised canola profitability’ project, CSP00187, 2014–19. The project was a collaborative partnership between GRDC, NSW DPI, CSIRO and SARDI. |
| Other trial partners | Not specified |
| Crop type | Oilseed: Canola |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Randomised,Replicated |
| Sow date | SD1- 26 March 2020; SD2- 27 April 2020 |
|---|---|
| Harvest date | Unknown |
| Plot size | Not specified |
| Plot replication | Not specified |
| Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2021, 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.
