| Researcher(s) |
Dylan Hirsch Juniper Kiss |
|---|---|
| Contact email | Chris@liebegroup.org.au |
| Year(s) | 2022 |
| Contributor | Liebe Group |
| Trial location(s) |
Latham, WA
|
| Further information | View external link |
To evaluate and demonstrate the benefit of soil amelioration and controlled traffic farming. To evaluate differences in deep ripping timing over subsequent years.
• Deep ripping can provide a significant yield benefit which can last for several years.
• Deep ripping does not always provide statistical or economic yield benefit immediately.
• Subsoil nutrient recovery and redistribution following deep ripping can be significant and should be considered when planning fertiliser applications.
• Controlled traffic can prolong the effect of deep ripping on subsoil strength (compaction).
| Lead research organisation |
West Midlands Group |
|---|---|
| Host research organisation |
Liebe Group |
| Trial funding source | GRDC WMG1803-002SAX |
| Related program | N/A |
| Acknowledgments |
This project (WMG1803-002SAX) is a GRDC investment that is led by the West Midlands Group and this site is managed by the Liebe Group. This site is one of four trial sites across the Wheatbelt that has investigated the use of early post-emergent (EPE) deep ripping on grain yield. Thank you to the Hirsch family for hosting the trial site. |
| Other trial partners | Not specified |
| Crop type | Cereal (Grain): Wheat |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Replicated |
| Sow rate or Target density | 60 kg/ha |
|---|---|
| Sow date | 19 May 2022 |
| Harvest date | 8 December 2022 |
| Plot size | 12.2m x 400m |
| Plot replication | 2 |
| Fertiliser |
85 kg/ha MacroPro, 40 L/ha UAN banded |
| Herbicide |
2.5 L/ha Boxer Gold, 240 mL/ha Voraxor IBS |
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.
