| Researcher(s) |
Michael Bell James Hagan David Lester Doug Sands |
|---|---|
| Year(s) | 2015 - 2018 |
| Contributor | Queensland Department of Agriculture and Fisheries |
| Trial location(s) |
Dululu, QLD
|
This project is gathering data from these trial sites to ascertain whether an application of P or K placed as a band in the subsurface profile can provide a grain yield benefit and whether that benefit (response) can be maintained over several years.
1. Mungbeans did not respond to deep phosphorus treatments.
2. Mungbeans had a 15% yield response to deep potassium treatments.
3. After 3 years of cropping the return on investment to 20 kg deep banded phosphorus is 1.6 and 100 kg deep banded potassium is 1.7.
| Lead research organisation |
Queensland Department of Agriculture and Fisheries |
|---|---|
| Host research organisation | N/A |
| Trial funding source | GRDC UQ00063 |
| Related program | N/A |
| Acknowledgments |
Thanks to the trial co-operators for hosting these trials. This work is funded by University of Queensland, the Department of Agriculture |
| Other trial partners | Not specified |
| Crop type | Grain Legume: Mung beans |
|---|---|
| Treatment type(s) |
|
| Trial type | Experimental |
| Trial design | Unknown |
| Sow date | various - please see report |
|---|---|
| Harvest date | 23 February 2018 |
| Plot size | Not specified |
| Plot replication | Not specified |
| Sow date | Not specified |
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| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
| Sow date | Not specified |
|---|---|
| Harvest date | Not specified |
| Plot size | Not specified |
| Plot replication | Not specified |
| 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.
