| Researcher(s) |
Stephen Davies (DAFWA) Andrew Kenny (WMG) Colin McAlpine (DAFWA) |
|---|---|
| Year(s) | 2014 |
| Contributor | West Midlands Group |
| Trial location(s) |
Badgingarra, WA
|
To assess amelioration options for water repellent sandplain soils.
These grower scale on-farm soil amelioration demonstrations have been managed by the growers according to standard practice. Both soil types were highly water repellent and the amelioration treatments have generally improved establishment but have probably had an even bigger impact on crop vigour. While it is possible to improve establishment, water and nutrient use efficiency and crop productivity using these techniques it is important to recognise that other constraints such as poor water and nutrient holding, soil acidity and compaction can still limit the yield potential of these soils. Pale sands which overly a clayey gravel or clay base within the top 1 m often have greater potential than the very deep sands.
| Lead research organisation |
Department of Agriculture and Food WA |
|---|---|
| Host research organisation |
West Midlands Group |
| Trial funding source | GRDC DAW00204 |
| Related program | N/A |
| Acknowledgments |
A big thanks to Andrew Kenny and Colin ‘Ferret’ McAlpine for their hard work, patience and unwavering support in continuing these trials – thank you, couldn’t have done it without you! This research was funded by DAFWA and GRDC through DAW00204 Delivering agronomic strategies for water repellent soils in WA. |
| Other trial partners | Not specified |
| Crop type | Grain Legume: Lupins |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Blocked |
| Sow date | Not specified |
|---|---|
| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
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.