| Researcher(s) |
Stephen Davies (DAFWA) David Gartner (DAFWA) Chris Gazey (DAFWA) |
|---|---|
| Year(s) | 2008 |
| Contributor | Liebe Group |
| Trial location(s) |
Maya, WA
|
Significant responses have been shown at other sites with suface lime treatments and deep ripping to 30cm, so using test strips to test responsiveness of a soil to these more treatments is a good option.
| Lead research organisation | N/A |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC DAW00014 |
| Related program | N/A |
| Acknowledgments |
Thanks to Brian and Tracy McAlpine for hosting the trial; Adam Clune, Trevor Bell and Larry Prosser (DAFWA) for technical support and the Liebe Group for ongoing support. |
| Other trial partners | Not specified |
| Crop type | Cereal (Grain): Wheat |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Replicated |
| Sow date | 28 May 2008 |
|---|---|
| Harvest date | Not specified |
| Plot size | 60m x 1.8m |
| Plot replication | 4 |
| Fertiliser |
28/05/08: 70 kg/ha Agflow, Post emergent: 50 L/ha Flexi-N |
| Herbicide |
Pre-seeding: 35 g/ha Logran; 1.5 L/ha Treflan, Post-emergent: 300 mL/ha Tigrex + 300 mL/ha MCPA |
| # |
Treatment 1
|
Gross margin ($/ha) | Hectolitre weight (kg/hL) | Protein (%) | Screenings (%) | Grain yield (t/ha) |
|---|---|---|---|---|---|---|
| 1 | █ 2.5 t/ha deep lime to 30cm | 560 | 80 | 11.6 | 2.8 | 2.73 |
| 2 | █ 2.5 t/ha surface lime | 343 | 77 | 11.6 | 3.7 | 1.85 |
| 3 | █ 2.5 t/ha surface lime then ripped to 30cm | 465 | 79 | 11.5 | 3.1 | 2.35 |
| 4 | █ 5 t/ha deep lime to 50cm | 675 | 82 | 10.7 | 1.6 | 3.34 |
| 5 | █ Control | 516 | 81 | 10.9 | 2.4 | 2.46 |
| 6 | █ Deep ripped to 30cm | 541 | 80 | 11.5 | 2.5 | 2.58 |
| 7 | █ Deep ripped to 50cm | 575 | 80 | 10.9 | 2.4 | 2.77 |
| Rainfall trial gsr (mm) | 210mm |
|---|
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.