| Researcher(s) |
Max Bloomfield Daniel Bosveld Rohan Brill Nick Poole Aaron Vague Darcy Warren |
|---|---|
| Year(s) | 2022 |
| Contributor | Field Applied Research (FAR) Australia |
| Trial location(s) |
Gnarwarre, VIC
|
To determine the response to increased crop nutrition inputs in a range of high potential spring canola varieties.
• The high input management strategy yielded 0.54 t/ha more than low input management but there were no yield differences between varieties.
• There were oil differences observed between varieties with 45Y28 RR the highest at 45.8% and HyTTec Trifecta the lowest at 43.4%.
• Increasing crop inputs from low to high management decreased oil concentration by 1.5%.
Trial design: Factorial (Variety x Management)
Rotation position: 2021 Wheat
Soil type: Grey clay loam
Available mineral N (0-30cm): 112.2kg/ha
Colwell P (ppm) 0-10cm: 110.0
pH (CaCl2) 0-10cm: 5.0
Organic Carbon (%) 0-10cm: 2.4
| Lead research organisation |
Field Applied Research (FAR) Australia |
|---|---|
| Host research organisation |
Field Applied Research (FAR) Australia |
| Trial funding source | GRDC FAR2004-002RTX |
| Related program | N/A |
| Acknowledgments | N/A |
| Other trial partners | Brill Ag |
| Crop type | Oilseed: Canola |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Randomised,Replicated |
| Sow rate or Target density | 60 plants/m² |
|---|---|
| Sow date | 26 April 2022 |
| Harvest date | 19 December 2022 |
| Trial design method | O Other |
| Trial design arrangement | 12 rows x 4 cols |
| Total plots | 48 |
| Plot size | Not specified |
| Plot replication | 4 |
| Psuedoreplication | N |
| Plot randomisation | Y |
| Fertiliser |
Please refer to trial report for treatment details |
| Fungicide |
Seed trt- Saltro Duo 6 - Leaf Prosaro 450mL/ha |
| Seed treatment | Saltro Duo |
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.
