| Researcher(s) |
Brett Masters Rhaquelle Meiklejohn Andrew Ware |
|---|---|
| Contact email | andrew@epagresearch.com.au |
| Contact phone | 0427884272 |
| Year(s) | 2024 |
| Contributor | Agricultural Innovation & Research Eyre Peninsula |
| Trial location(s) |
Tooligie Hill, SA
|
Choosing varieties with a phenology that shifts flowering away from when a frost is likely to occur, can reduce frost damage/risk.
| Lead research organisation |
Agricultural Innovation & Research Eyre Peninsula |
|---|---|
| Host research organisation |
EPAG Research Trust |
| Trial funding source | GRDC AIP2404-001RTX |
| Related program |
Tactics to minimise frost damage on the Eyre Peninsula |
| Acknowledgments |
Landholder: Dylon Kay |
| Other trial partners | Rhaquelle Meiklejohn |
| Crop type | Cereal (Grain): Wheat |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Randomised,Replicated,Blocked |
| Sow date | Not specified |
|---|---|
| Harvest date | Not specified |
| Trial design method | RCBD Randomised Complete Block Design |
| Plot size | Not specified |
| Plot replication | Not specified |
| Other trial notes |
With very small differences in varietial tolerance to frost, one of the easiest management decisions a grower can make in a frosty area is to plant a variety that will flower outside the tradtional frost window. However there is still need to understand the drivers of phenology with the latest varieties and differing sowing times.
|
| # |
Treatment 1
|
Grain yield (t/ha) |
|---|---|---|
| 1 | █ trace elements mix | 3.762 |
| 2 | █ Chelated Cu | 3.844 |
| 3 | █ Control | 3.636 |
| 4 | █ Bioforge | 3.784 |
| 5 | █ Cu defficient | 3.708 |
| 6 | █ Hay | 3.59 |
| 7 | █ Cu & Zn inter row | 3.866 |
| 8 | █ Antibactial 1 | 3.788 |
| 9 | █ Smoke water | 3.803 |
| 10 | █ Chelated Cu & Zn | 3.743 |
| 11 | █ Antibacterial 2 | 3.708 |
| 12 | █ kelp | 3.685 |
| 13 | █ Hormone | 3.405 |
| 14 | █ Chelated Cu x2 | 3.566 |
| 15 | █ K silicate | 3.333 |
| 16 | █ Antibactial 1 | 3.752 |
| 17 | █ Chelated Cu x2 | 3.939 |
| 18 | █ Chelated Cu & Zn | 3.856 |
| 19 | █ kelp | 3.974 |
| 20 | █ Hay | 3.76 |
| 21 | █ Hormone | 3.95 |
| 22 | █ Cu defficient | 4.149 |
| 23 | █ K silicate | 3.833 |
| 24 | █ Antibacterial 2 | 4.212 |
| 25 | █ Chelated Cu | 4.438 |
| 26 | █ Control | 4.25 |
| 27 | █ Smoke water | 4.138 |
| 28 | █ Bioforge | 4.143 |
| 29 | █ trace elements mix | 4.216 |
| 30 | █ Cu & Zn inter row | 4.346 |
| 31 | █ Antibacterial 2 | 4.122 |
| 32 | █ Cu & Zn inter row | 4.295 |
| 33 | █ Hormone | 4.263 |
| 34 | █ K silicate | 4.194 |
| 35 | █ Smoke water | 4.295 |
| 36 | █ trace elements mix | 4.339 |
| 37 | █ kelp | 4.406 |
| 38 | █ Control | 4.074 |
| 39 | █ Chelated Cu x2 | 4.168 |
| 40 | █ Bioforge | 4.343 |
| 41 | █ Hay | 4.002 |
| 42 | █ Chelated Cu | 4.372 |
| 43 | █ Antibactial 1 | 4.597 |
| 44 | █ Cu defficient | 4.624 |
| 45 | █ Chelated Cu & Zn | 4.64 |
| Rainfall avg ann (mm) | 385mm |
|---|---|
| Rainfall avg gsr (mm) | 286mm |
| Rainfall trial total (mm) | 263mm |
| Rainfall trial gsr (mm) | 178mm |
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.
